diff --git a/README.md b/README.md
index ebc7eec..7f50f42 100644
--- a/README.md
+++ b/README.md
@@ -121,12 +121,12 @@ Then [re]start Solr, e.g.:
 Now start the Stanford Named Entity Recognition server, which is used to pull
 names, places etc. out of the source data:
  
-    $ cd stanford-ner-2011-09-14
+    $ cd stanford-ner-2014-06-16
     $ ./server.sh &
 	
 	or on Windows:
 	
-    C:\ cd stanford-ner-2011-09-14
+    C:\ cd stanford-ner-2014-06-16
     C:\ server.bat
 
 Finally, add the example documents (which are provided as plaintext files):
diff --git a/go2.bat b/go2.bat
index 6751533..91c6351 100644
--- a/go2.bat
+++ b/go2.bat
@@ -4,5 +4,5 @@ rem Each must run in its own command line shell
 
 call paths.bat
 
-cd stanford-ner-2011-09-14
+cd stanford-ner-2014-06-16
 server.bat
diff --git a/stanford-ner-2011-09-14/Makefile b/stanford-ner-2011-09-14/Makefile
deleted file mode 100644
index 2f8d594..0000000
--- a/stanford-ner-2011-09-14/Makefile
+++ /dev/null
@@ -1,12 +0,0 @@
-# This is a rudimentary Makefile for rebuilding the CRF NER distribution.
-# We actually use ant (q.v.) or a Java IDE.
-
-JAVAC = javac
-JAVAFLAGS = -O -d classes -encoding utf-8
-
-ner:
-	mkdir -p classes
-	$(JAVAC) $(JAVAFLAGS) src/edu/stanford/nlp/*/*.java src/edu/stanford/nlp/*/*/*.java
-	cd classes ; jar -cfm ../stanford-ner-`date +%Y-%m-%d`.jar ../src/edu/stanford/nlp/ie/crf/ner-manifest.txt edu ; cd ..
-	cp stanford-ner-`date +%Y-%m-%d`.jar stanford-ner.jar
-
diff --git a/stanford-ner-2011-09-14/NERDemo.java b/stanford-ner-2011-09-14/NERDemo.java
deleted file mode 100644
index bc7bc50..0000000
--- a/stanford-ner-2011-09-14/NERDemo.java
+++ /dev/null
@@ -1,77 +0,0 @@
-import edu.stanford.nlp.ie.crf.*;
-import edu.stanford.nlp.ie.AbstractSequenceClassifier;
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation;
-
-import java.util.List;
-import java.io.IOException;
-
-
-
-/** This is a demo of calling CRFClassifier programmatically.
- *  <p>
- *  Usage: <code> java -cp "stanford-ner.jar:." NERDemo [serializedClassifier [fileName]]</code>
- *  <p>
- *  If arguments aren't specified, they default to
- *  ner-eng-ie.crf-3-all2006.ser.gz and some hardcoded sample text.
- *  <p>
- *  To use CRFClassifier from the command line:
- *  java -mx400m edu.stanford.nlp.ie.crf.CRFClassifier -loadClassifier
- *      [classifier] -textFile [file]
- *  Or if the file is already tokenized and one word per line, perhaps in
- *  a tab-separated value format with extra columns for part-of-speech tag,
- *  etc., use the version below (note the 's' instead of the 'x'):
- *  java -mx400m edu.stanford.nlp.ie.crf.CRFClassifier -loadClassifier
- *      [classifier] -testFile [file]
- *
- *  @author Jenny Finkel
- *  @author Christopher Manning
- */
-
-public class NERDemo {
-
-    public static void main(String[] args) throws IOException {
-
-      String serializedClassifier = "classifiers/ner-eng-ie.crf-3-all2008.ser.gz";
-
-      if (args.length > 0) {
-        serializedClassifier = args[0];
-      }
-
-      AbstractSequenceClassifier classifier = CRFClassifier.getClassifierNoExceptions(serializedClassifier);
-
-      /* For either a file to annotate or for the hardcoded text example,
-         this demo file shows two ways to process the output, for teaching
-         purposes.  For the file, it shows both how to run NER on a String
-         and how to run it on a whole file.  For the hard-coded String,
-         it shows how to run it on a single sentence, and how to do this
-         and produce an inline XML output format.
-      */
-      if (args.length > 1) {
-        String fileContents = IOUtils.slurpFile(args[1]);
-        List<List<CoreLabel>> out = classifier.classify(fileContents);
-        for (List<CoreLabel> sentence : out) {
-          for (CoreLabel word : sentence) {
-            System.out.print(word.word() + '/' + word.get(AnswerAnnotation.class) + ' ');
-          }
-          System.out.println();
-        }
-        out = classifier.classifyFile(args[1]);
-        for (List<CoreLabel> sentence : out) {
-          for (CoreLabel word : sentence) {
-            System.out.print(word.word() + '/' + word.get(AnswerAnnotation.class) + ' ');
-          }
-          System.out.println();
-        }
-
-      } else {
-        String s1 = "Good afternoon Rajat Raina, how are you today?";
-        String s2 = "I go to school at Stanford University, which is located in California.";
-        System.out.println(classifier.classifyToString(s1));
-        System.out.println(classifier.classifyWithInlineXML(s2));
-        System.out.println(classifier.classifyToString(s2, "xml", true));
-      }
-    }
-
-}
diff --git a/stanford-ner-2011-09-14/ner-gui.sh b/stanford-ner-2011-09-14/ner-gui.sh
deleted file mode 100755
index ea2cb5e..0000000
--- a/stanford-ner-2011-09-14/ner-gui.sh
+++ /dev/null
@@ -1,2 +0,0 @@
-#!/bin/sh
-java -mx500m -cp "stanford-ner.jar:" edu.stanford.nlp.ie.crf.NERGUI
diff --git a/stanford-ner-2011-09-14/ner.bat b/stanford-ner-2011-09-14/ner.bat
deleted file mode 100755
index e87b3c8..0000000
--- a/stanford-ner-2011-09-14/ner.bat
+++ /dev/null
@@ -1 +0,0 @@
-java -mx1500m -cp stanford-ner.jar edu.stanford.nlp.ie.crf.CRFClassifier -loadClassifier classifiers\all.3class.distsim.crf.ser.gz -textFile %1
diff --git a/stanford-ner-2011-09-14/ner.sh b/stanford-ner-2011-09-14/ner.sh
deleted file mode 100755
index 56827f1..0000000
--- a/stanford-ner-2011-09-14/ner.sh
+++ /dev/null
@@ -1,2 +0,0 @@
-#!/bin/sh
-java -mx700m -cp stanford-ner.jar edu.stanford.nlp.ie.crf.CRFClassifier -loadClassifier classifiers/all.3class.distsim.crf.ser.gz -textFile $1
diff --git a/stanford-ner-2011-09-14/server.bat b/stanford-ner-2011-09-14/server.bat
deleted file mode 100644
index 81f810a..0000000
--- a/stanford-ner-2011-09-14/server.bat
+++ /dev/null
@@ -1 +0,0 @@
-java -mx1000m -cp stanford-ner.jar edu.stanford.nlp.ie.NERServer -loadClassifier classifiers/all.3class.distsim.crf.ser.gz -port 9000
\ No newline at end of file
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/AbstractLinearClassifierFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/AbstractLinearClassifierFactory.java
deleted file mode 100644
index a671b16..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/AbstractLinearClassifierFactory.java
+++ /dev/null
@@ -1,91 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.ling.RVFDatum;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.HashIndex;
-
-import java.lang.ref.Reference;
-import java.util.Collection;
-import java.util.List;
-
-/**
- * Shared methods for training a {@link LinearClassifier}.
- * Inheriting classes need to implement the
- * <code>trainWeights</code> method.
- *
- * @author Dan Klein
- *
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (Templatization)
- *
- * @param <L> The type of the labels in the Dataset and Datum
- * @param <F> The type of the features in the Dataset and Datum
- */
-
-public abstract class AbstractLinearClassifierFactory<L, F> implements ClassifierFactory<L, F, Classifier<L, F>> {
-
-  private static final long serialVersionUID = 1L;
-
-  Index<L> labelIndex = new HashIndex<L>();
-  Index<F> featureIndex = new HashIndex<F>();
-
-  public AbstractLinearClassifierFactory() {
-  }
-
-  int numFeatures() {
-    return featureIndex.size();
-  }
-
-  int numClasses() {
-    return labelIndex.size();
-  }
-
-  public Classifier<L,F> trainClassifier(List<RVFDatum<L, F>> examples) {
-    Dataset<L, F> dataset = new Dataset<L, F>();
-    dataset.addAll(examples);
-    return trainClassifier(dataset);
-  }
-
-  protected abstract double[][] trainWeights(GeneralDataset<L, F> dataset) ;
-
-  /**
-   * Takes a {@link Collection} of {@link Datum} objects and gives you back a
-   * {@link Classifier} trained on it.
-   *
-   * @param examples {@link Collection} of {@link Datum} objects to train the
-   *                 classifier on
-   * @return A {@link Classifier} trained on it.
-   */
-  public LinearClassifier<L, F> trainClassifier(Collection<Datum<L, F>> examples) {
-    Dataset<L, F> dataset = new Dataset<L, F>();
-    dataset.addAll(examples);
-    return trainClassifier(dataset);
-  }
-
-  /**
-   * Takes a {@link Reference} to a {@link Collection} of {@link Datum}
-   * objects and gives you back a {@link Classifier} trained on them
-   *
-   * @param ref {@link Reference} to a {@link Collection} of {@link
-   *            Datum} objects to train the classifier on
-   * @return A Classifier trained on a collection of Datum
-   */
-  public LinearClassifier<L, F> trainClassifier(Reference<Collection<Datum<L, F>>> ref) {
-    Collection<Datum<L, F>> examples = ref.get();
-    return trainClassifier(examples);
-  }
-
-
-  /**
-   * Trains a {@link Classifier} on a {@link Dataset}.
-   *
-   * @return A {@link Classifier} trained on the data.
-   */
-  public LinearClassifier<L, F> trainClassifier(GeneralDataset<L, F> data) {
-    labelIndex = data.labelIndex();
-    featureIndex = data.featureIndex();
-    double[][] weights = trainWeights(data);
-    return new LinearClassifier<L, F>(weights, featureIndex, labelIndex);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/AdaptedGaussianPriorObjectiveFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/AdaptedGaussianPriorObjectiveFunction.java
deleted file mode 100644
index 16521e1..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/AdaptedGaussianPriorObjectiveFunction.java
+++ /dev/null
@@ -1,118 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import edu.stanford.nlp.math.ArrayMath;
-import java.util.Arrays;
-
-
-/**
- * Adapt the mean of the Gaussian Prior by shifting the mean to the previously trained weights
- * @author Pi-Chuan Chang
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (Templatization)
- *
- * @param <L> The type of the labels in the Dataset (one can be passed in to the constructor)
- * @param <F> The type of the features in the Dataset 
- */
-
-public class AdaptedGaussianPriorObjectiveFunction<L, F> extends LogConditionalObjectiveFunction<L, F> {
-
-  double[] weights;
-
-  /**
-   * Calculate the conditional likelihood.
-   */
-  @Override
-  protected void calculate(double[] x) {
-    if (useSummedConditionalLikelihood) {
-      calculateSCL(x);
-    } else {
-      calculateCL(x);
-    }
-  }
-
-
-  /**
-   */
-  private void calculateSCL(double[] x) {
-    throw new UnsupportedOperationException();
-  }
-
-  /**
-   */
-  private void calculateCL(double[] x) {
-    value = 0.0;
-    if (derivativeNumerator == null) {
-      derivativeNumerator = new double[x.length];
-      for (int d = 0; d < data.length; d++) {
-        int[] features = data[d];
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], labels[d]);
-          if (dataweights == null) {
-            derivativeNumerator[i] -= 1;
-          } else {
-            derivativeNumerator[i] -= dataweights[d];
-          }
-        }
-      }
-    }
-    copy(derivative, derivativeNumerator);
-
-    double[] sums = new double[numClasses];
-    double[] probs = new double[numClasses];
-
-    for (int d = 0; d < data.length; d++) {
-      int[] features = data[d];
-      // activation
-      Arrays.fill(sums, 0.0);
-
-      for (int c = 0; c < numClasses; c++) {
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          sums[c] += x[i];
-        }
-      }
-      double total = ArrayMath.logSum(sums);
-      for (int c = 0; c < numClasses; c++) {
-        probs[c] = Math.exp(sums[c] - total);
-        if (dataweights != null) {
-          probs[c] *= dataweights[d];
-        }
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          derivative[i] += probs[c];
-        }
-      }
-
-      double dV = sums[labels[d]] - total;
-      if (dataweights != null) {
-        dV *= dataweights[d];
-      }
-      value -= dV;
-    }
-    //System.err.println("x length="+x.length);
-    //System.err.println("weights length="+weights.length);
-    double[] newX = ArrayMath.pairwiseSubtract(x, weights);
-    value += prior.compute(newX, derivative);
-  }
-
-  /**
-   */
-  @Override
-  protected void rvfcalculate(double[] x) {
-    throw new UnsupportedOperationException();
-  }
-
-  public AdaptedGaussianPriorObjectiveFunction(GeneralDataset<L, F> dataset, LogPrior prior, double weights[][]) {
-    super(dataset, prior);
-    this.weights = to1D(weights);
-  }
-
-  public double[] to1D(double[][] x2) {
-    double[] x = new double[numFeatures*numClasses];
-    for (int i = 0; i < numFeatures; i++) {
-      for (int j = 0; j < numClasses; j++) {
-        x[indexOf(i, j)] = x2[i][j];
-      }
-    }
-    return x;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/BiasedLogConditionalObjectiveFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/BiasedLogConditionalObjectiveFunction.java
deleted file mode 100644
index 5378d14..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/BiasedLogConditionalObjectiveFunction.java
+++ /dev/null
@@ -1,137 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.optimization.AbstractCachingDiffFunction;
-
-import java.util.Arrays;
-
-
-/**
- * Maximizes the conditional likelihood with a given prior.
- *
- * @author Jenny Finkel
- */
-
-public class BiasedLogConditionalObjectiveFunction extends AbstractCachingDiffFunction {
-
-  public void setPrior(LogPrior prior) {
-    this.prior = prior;
-  }
-
-  protected LogPrior prior;
-
-  protected int numFeatures = 0;
-  protected int numClasses = 0;
-
-  protected int[][] data = null;
-  protected int[] labels = null;
-
-  private double[][] confusionMatrix;
-  
-  @Override
-  public int domainDimension() {
-    return numFeatures * numClasses;
-  }
-
-  int classOf(int index) {
-    return index % numClasses;
-  }
-
-  int featureOf(int index) {
-    return index / numClasses;
-  }
-
-  protected int indexOf(int f, int c) {
-    return f * numClasses + c;
-  }
-
-  public double[][] to2D(double[] x) {
-    double[][] x2 = new double[numFeatures][numClasses];
-    for (int i = 0; i < numFeatures; i++) {
-      for (int j = 0; j < numClasses; j++) {
-        x2[i][j] = x[indexOf(i, j)];
-      }
-    }
-    return x2;
-  }
-
-  @Override
-  protected void calculate(double[] x) {
-    
-    if (derivative == null) {
-      derivative = new double[x.length];
-    } else {
-      Arrays.fill(derivative, 0.0);
-    }
-
-    value = 0.0;
-
-    double[] sums = new double[numClasses];
-    double[] probs = new double[numClasses];
-    double[] weightedProbs = new double[numClasses];
-
-    for (int d = 0; d < data.length; d++) {
-      int[] features = data[d];
-      int observedLabel = labels[d];
-      // activation
-      Arrays.fill(sums, 0.0);
-
-      for (int c = 0; c < numClasses; c++) {
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          sums[c] += x[i];
-        }
-      }
-
-      double total = ArrayMath.logSum(sums);
-
-      double[] weightedSums = new double[numClasses];
-      for (int trueLabel = 0; trueLabel < numClasses; trueLabel++) {
-        weightedSums[trueLabel] = Math.log(confusionMatrix[observedLabel][trueLabel]) + sums[trueLabel];
-      }
-
-      double weightedTotal = ArrayMath.logSum(weightedSums);
-      
-      for (int c = 0; c < numClasses; c++) {
-        probs[c] = Math.exp(sums[c] - total);
-        weightedProbs[c] = Math.exp(weightedSums[c] - weightedTotal);
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          derivative[i] += probs[c] - weightedProbs[c];
-        }
-      }
-
-      double tmpValue = 0.0;
-      for (int c = 0; c < numClasses; c++) {
-        tmpValue += confusionMatrix[observedLabel][c] * Math.exp(sums[c] - total);
-      }
-      value -= Math.log(tmpValue);
-    }
-    
-    value += prior.compute(x, derivative);
-    
-  }
-
-
-
-  public BiasedLogConditionalObjectiveFunction(GeneralDataset<?, ?> dataset, double[][] confusionMatrix) {
-    this(dataset, confusionMatrix, new LogPrior(LogPrior.LogPriorType.QUADRATIC));
-  }
-
-  public BiasedLogConditionalObjectiveFunction(GeneralDataset<?, ?> dataset, double[][] confusionMatrix, LogPrior prior) {
-    this(dataset.numFeatures(), dataset.numClasses(), dataset.getDataArray(), dataset.getLabelsArray(), confusionMatrix, prior);
-  }
-
-  public BiasedLogConditionalObjectiveFunction(int numFeatures, int numClasses, int[][] data, int[] labels, double[][] confusionMatrix) {
-    this(numFeatures, numClasses, data, labels, confusionMatrix, new LogPrior(LogPrior.LogPriorType.QUADRATIC));
-  }
-
-  public BiasedLogConditionalObjectiveFunction(int numFeatures, int numClasses, int[][] data, int[] labels, double[][] confusionMatrix, LogPrior prior) {
-    this.numFeatures = numFeatures;
-    this.numClasses = numClasses;
-    this.data = data;
-    this.labels = labels;
-    this.prior = prior;
-    this.confusionMatrix = confusionMatrix;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/Classifier.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/Classifier.java
deleted file mode 100644
index 4998323..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/Classifier.java
+++ /dev/null
@@ -1,28 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.stats.Counter;
-
-import java.io.Serializable;
-import java.util.Collection;
-
-/**
- * A simple interface for classifying and scoring data points, implemented
- * by most of the classifiers in this package.  A basic Classifier
- * works over a List of categorical features.  For classifiers over
- * real-valued features, see {@link RVFClassifier}.
- *
- * @author Dan Klein
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (Templatization)
- *
- * @param <L> The type of the label(s) in each Datum
- * @param <F> The type of the features in each Datum
- */
-
-public interface Classifier<L, F> extends Serializable {
-  public L classOf(Datum<L, F> example);
-
-  public Counter<L> scoresOf(Datum<L, F> example);
-
-  public Collection<L> labels();
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/ClassifierCreator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/ClassifierCreator.java
deleted file mode 100644
index d58905b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/ClassifierCreator.java
+++ /dev/null
@@ -1,10 +0,0 @@
-package edu.stanford.nlp.classify;
-
-/**
- * Creates a classifier with given weights
- *
- * @author Angel Chang
- */
-public interface ClassifierCreator<L,F> {
-  public Classifier<L,F> createClassifier(double[] weights);
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/ClassifierFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/ClassifierFactory.java
deleted file mode 100644
index 4d4cb38..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/ClassifierFactory.java
+++ /dev/null
@@ -1,24 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import java.io.Serializable;
-import java.util.List;
-
-import edu.stanford.nlp.ling.RVFDatum;
-
-/**
- * A simple interface for training a Classifier from a Dataset of training
- * examples.
- *
- * @author Dan Klein
- *
- * Templatized by Sarah Spikes (sdspikes@cs.stanford.edu)
- */
-
-public interface ClassifierFactory<L, F, C extends Classifier<L, F>> extends Serializable {
-
-  @Deprecated //ClassifierFactory should implement trainClassifier(GeneralDataset) instead.
-  public C trainClassifier(List<RVFDatum<L, F>> examples);
-
-  public C trainClassifier(GeneralDataset<L,F> dataset);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/CrossValidator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/CrossValidator.java
deleted file mode 100644
index aba5462..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/CrossValidator.java
+++ /dev/null
@@ -1,93 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.Triple;
-import edu.stanford.nlp.util.Function;
-
-import java.util.Iterator;
-
-/**
- * This class is meant to simplify performing cross validation on
- * classifiers for hyper-parameters.  It has the ability to save
- * state for each fold (for instance, the weights for a MaxEnt
- * classifier, and the alphas for an SVM).
- *
- * @author Aria Haghighi
- * @author Jenny Finkel
- * @author Sarah Spikes (Templatization)
- */
-
-public class CrossValidator<L, F> {
-  private GeneralDataset<L, F> originalTrainData;
-  private int kfold;
-  private SavedState[] savedStates;
-
-  public CrossValidator(GeneralDataset<L, F> trainData) {
-    this (trainData,5);
-  }
-
-  public CrossValidator(GeneralDataset<L, F> trainData, int kfold) {
-    originalTrainData = trainData;
-    this.kfold = kfold;
-    savedStates = new SavedState[kfold];
-    for (int i = 0; i < savedStates.length; i++) {
-      savedStates[i] = new SavedState();
-    }
-  }
-
-  /**
-   * Returns and Iterator over train/test/saved states
-   */
-  private Iterator<Triple<GeneralDataset<L, F>,GeneralDataset<L, F>,SavedState>> iterator() { return new CrossValidationIterator(); }
-
-  /**
-   * This computes the average over all folds of the function we're trying to optimize.
-   * The input triple contains, in order, the train set, the test set, and the saved state.  
-   * You don't have to use the saved state if you don't want to.
-   */
-  public double computeAverage (Function<Triple<GeneralDataset<L, F>,GeneralDataset<L, F>,SavedState>,Double> function) 
-  {
-    double sum = 0;
-    Iterator<Triple<GeneralDataset<L, F>,GeneralDataset<L, F>,SavedState>> foldIt = iterator();
-    while (foldIt.hasNext()) {
-      sum += function.apply(foldIt.next());
-    }
-    return sum / kfold;
-  }
-
-  class CrossValidationIterator implements Iterator<Triple<GeneralDataset<L, F>,GeneralDataset<L, F>,SavedState>>
-  {
-    int iter = 0;
-    public boolean hasNext() { return iter < kfold; }
-
-    public void remove()
-    {
-      throw new RuntimeException("CrossValidationIterator doesn't support remove()");
-    }
-  
-    public Triple<GeneralDataset<L, F>,GeneralDataset<L, F>,SavedState> next()
-    {
-      if (iter == kfold) return null;
-      int start = originalTrainData.size() * iter / kfold;
-      int end = originalTrainData.size() * (iter + 1) / kfold;
-      //System.err.println("##train data size: " +  originalTrainData.size() + " start " + start + " end " + end);
-      Pair<GeneralDataset<L, F>, GeneralDataset<L, F>> split = originalTrainData.split(start, end);
-      
-      return new Triple<GeneralDataset<L, F>,GeneralDataset<L, F>,SavedState>(split.first(),split.second(),savedStates[iter++]);
-    }
-  }
-  
-  public static class SavedState {
-    public Object state;
-  }
-
-  public static void main(String[] args) {
-    Dataset<String, String> d = Dataset.readSVMLightFormat(args[0]);
-    Iterator<Triple<GeneralDataset<String, String>,GeneralDataset<String, String>,SavedState>> it = (new CrossValidator<String, String>(d)).iterator();
-    while (it.hasNext()) 
-    { 
-      it.next(); 
-      break;
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/Dataset.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/Dataset.java
deleted file mode 100644
index 36d7e52..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/Dataset.java
+++ /dev/null
@@ -1,728 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import java.io.PrintWriter;
-import java.io.StringWriter;
-import java.io.File;
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.Collection;
-import java.util.Collections;
-import java.util.HashSet;
-import java.util.Iterator;
-import java.util.List;
-import java.util.Random;
-import java.util.Set;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-import edu.stanford.nlp.ling.BasicDatum;
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.ling.RVFDatum;
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.stats.Counter;
-import edu.stanford.nlp.stats.TwoDimensionalCounter;
-import edu.stanford.nlp.objectbank.ObjectBank;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.HashIndex;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.ScoredComparator;
-import edu.stanford.nlp.util.ScoredObject;
-
-
-/**
- * An interfacing class for {@link ClassifierFactory} that incrementally
- * builds a more memory-efficient representation of a {@link List} of
- * {@link Datum} objects for the purposes of training a {@link Classifier}
- * with a {@link ClassifierFactory}.
- *
- * @author Roger Levy (rog@stanford.edu)
- * @author Anna Rafferty (various refactoring with GeneralDataset/RVFDataset)
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (templatization)
- * @author nmramesh@cs.stanford.edu {@link #getL1NormalizedTFIDFDatum(Datum, Counter) and #getL1NormalizedTFIDFDataset()}
- *
- * @param <L> Label type
- * @param <F> Feature type
- */
-public class Dataset<L, F> extends GeneralDataset<L, F> {
-
-  private static final long serialVersionUID = -3883164942879961091L;
-
-  public Dataset() {
-    this(10);
-  }
-
-
-  public Dataset(int numDatums, Index<F> featureIndex, Index<L> labelIndex) {
-    initialize(numDatums);
-    this.labelIndex = labelIndex;
-    this.featureIndex = featureIndex;
-  }
-
-  public Dataset(Index<F> featureIndex, Index<L> labelIndex) {
-    this(10);
-    this.labelIndex = labelIndex;
-    this.featureIndex = featureIndex;
-  }
-
-  public Dataset(int numDatums) {
-    initialize(numDatums);
-  }
-
-  /**
-   * Constructor that fully specifies a Dataset.  Needed this for MulticlassDataset.
-   */
-  public Dataset(Index<L> labelIndex, int[] labels, Index<F> featureIndex, int[][] data) {
-    this (labelIndex, labels, featureIndex, data, data.length);
-  }
-
-  /**
-   * Constructor that fully specifies a Dataset.  Needed this for MulticlassDataset.
-   */
-  public Dataset(Index<L> labelIndex, int[] labels, Index<F> featureIndex, int[][] data, int size) {
-    this.labelIndex = labelIndex;
-    this.labels = labels;
-    this.featureIndex = featureIndex;
-    this.data = data;
-    this.size = size;
-  }
-
-  @Override
-  public Pair<GeneralDataset<L, F>, GeneralDataset<L, F>> split(double percentDev) {
-    int devSize = (int)(percentDev * size());
-    int trainSize = size() - devSize;
-
-    int[][] devData = new int[devSize][];
-    int[] devLabels = new int[devSize];
-
-    int[][] trainData = new int[trainSize][];
-    int[] trainLabels = new int[trainSize];
-
-    System.arraycopy(data, 0, devData, 0, devSize);
-    System.arraycopy(labels, 0, devLabels, 0, devSize);
-
-    System.arraycopy(data, devSize, trainData, 0, trainSize);
-    System.arraycopy(labels, devSize, trainLabels, 0, trainSize);
-
-    if (this instanceof WeightedDataset<?,?>) {
-      float[] trainWeights = new float[trainSize];
-      float[] devWeights = new float[devSize];
-
-      WeightedDataset<L, F> w = (WeightedDataset<L, F>)this;
-
-      System.arraycopy(w.weights, 0, devWeights, 0, devSize);
-      System.arraycopy(w.weights, devSize, trainWeights, 0, trainSize);
-
-      WeightedDataset<L, F> dev = new WeightedDataset<L, F>(labelIndex, devLabels, featureIndex, devData, devSize, devWeights);
-      WeightedDataset<L, F> train = new WeightedDataset<L, F>(labelIndex, trainLabels, featureIndex, trainData, trainSize, trainWeights);
-
-      return new Pair<GeneralDataset<L, F>,GeneralDataset<L, F>>(train, dev);
-    }
-    Dataset<L, F> dev = new Dataset<L, F>(labelIndex, devLabels, featureIndex, devData, devSize);
-    Dataset<L, F> train = new Dataset<L, F>(labelIndex, trainLabels, featureIndex, trainData, trainSize);
-
-    return new Pair<GeneralDataset<L, F>,GeneralDataset<L, F>>(train, dev);
-  }
-
-  @Override
-  public Pair<GeneralDataset<L, F>,GeneralDataset<L, F>> split(int start, int end) {
-    int devSize = end - start;
-    int trainSize = size() - devSize;
-
-    int[][] devData = new int[devSize][];
-    int[] devLabels = new int[devSize];
-
-    int[][] trainData = new int[trainSize][];
-    int[] trainLabels = new int[trainSize];
-
-    System.arraycopy(data, start, devData, 0, devSize);
-    System.arraycopy(labels, start, devLabels, 0, devSize);
-
-    System.arraycopy(data, 0, trainData, 0, start);
-    System.arraycopy(data, end, trainData, start, size()-end);
-    System.arraycopy(labels, 0, trainLabels, 0, start);
-    System.arraycopy(labels, end, trainLabels, start, size()-end);
-
-    if (this instanceof WeightedDataset<?,?>) {
-      float[] trainWeights = new float[trainSize];
-      float[] devWeights = new float[devSize];
-
-      WeightedDataset<L, F> w = (WeightedDataset<L, F>)this;
-
-      System.arraycopy(w.weights, start, devWeights, 0, devSize);
-      System.arraycopy(w.weights, 0, trainWeights, 0, start);
-      System.arraycopy(w.weights, end, trainWeights, start, size()-end);
-
-      WeightedDataset<L, F> dev = new WeightedDataset<L, F>(labelIndex, devLabels, featureIndex, devData, devSize, devWeights);
-      WeightedDataset<L, F> train = new WeightedDataset<L, F>(labelIndex, trainLabels, featureIndex, trainData, trainSize, trainWeights);
-
-      return new Pair<GeneralDataset<L, F>,GeneralDataset<L, F>>(train, dev);
-    }
-    Dataset<L, F> dev = new Dataset<L, F>(labelIndex, devLabels, featureIndex, devData, devSize);
-    Dataset<L, F> train = new Dataset<L, F>(labelIndex, trainLabels, featureIndex, trainData, trainSize);
-
-    return new Pair<GeneralDataset<L, F>,GeneralDataset<L, F>>(train, dev);
-  }
-
-
-  public Dataset<L, F> getRandomSubDataset(double p, int seed) {
-    int newSize = (int)(p * size());
-    Set<Integer> indicesToKeep = new HashSet<Integer>();
-    Random r = new Random(seed);
-    int s = size();
-    while (indicesToKeep.size() < newSize) {
-      indicesToKeep.add(r.nextInt(s));
-    }
-
-    int[][] newData = new int[newSize][];
-    int[] newLabels = new int[newSize];
-
-    int i = 0;
-    for (int j : indicesToKeep) {
-      newData[i] = data[j];
-      newLabels[i] = labels[j];
-      i++;
-    }
-
-    return new Dataset<L, F>(labelIndex, newLabels, featureIndex, newData);
-  }
-
-  @Override
-  public double[][] getValuesArray() {
-    return null;
-  }
-
-  /**
-   * Constructs a Dataset by reading in a file in SVM light format.
-   */
-  public static Dataset<String, String> readSVMLightFormat(String filename) {
-    return readSVMLightFormat(filename, new HashIndex<String>(), new HashIndex<String>());
-  }
-
-  /**
-   * Constructs a Dataset by reading in a file in SVM light format.
-   * The lines parameter is filled with the lines of the file for further processing
-   * (if lines is null, it is assumed no line information is desired)
-   */
-  public static Dataset<String, String> readSVMLightFormat(String filename, List<String> lines) {
-    return readSVMLightFormat(filename, new HashIndex<String>(), new HashIndex<String>(), lines);
-  }
-
-  /**
-   * Constructs a Dataset by reading in a file in SVM light format.
-   * the created dataset has the same feature and label index as given
-   */
-  public static Dataset<String, String> readSVMLightFormat(String filename, Index<String> featureIndex, Index<String> labelIndex) {
-    return readSVMLightFormat(filename, featureIndex, labelIndex, null);
-  }
-  /**
-   * Constructs a Dataset by reading in a file in SVM light format.
-   * the created dataset has the same feature and label index as given
-   */
-  public static Dataset<String, String> readSVMLightFormat(String filename, Index<String> featureIndex, Index<String> labelIndex, List<String> lines) {
-    Dataset<String, String> dataset;
-    try {
-      dataset = new Dataset<String, String>(10, featureIndex, labelIndex);
-      for (String line : ObjectBank.getLineIterator(new File(filename))) {
-        if(lines != null)
-          lines.add(line);
-        dataset.add(svmLightLineToDatum(line));
-      }
-
-    } catch (Exception e) {
-      throw new RuntimeException(e);
-    }
-    return dataset;
-  }
-
-  private static int line1 = 0;
-
-  public static Datum<String, String> svmLightLineToDatum(String l) {
-    line1++;
-    l = l.replaceAll("#.*", ""); // remove any trailing comments
-    String[] line = l.split("\\s+");
-    Collection<String> features = new ArrayList<String>();
-    for (int i = 1; i < line.length; i++) {
-      String[] f = line[i].split(":");
-      if (f.length != 2) {
-        System.err.println("Dataset error: line " + line1);
-      }
-      int val = (int) Double.parseDouble(f[1]);
-      for (int j = 0; j < val; j++) {
-        features.add(f[0]);
-      }
-    }
-    features.add(String.valueOf(Integer.MAX_VALUE));  // a constant feature for a class
-    Datum<String, String> d = new BasicDatum<String, String>(features, line[0]);
-    return d;
-  }
-
-  /**
-   *  Get Number of datums a given feature appears in.
-   */
-  public Counter<F> getFeatureCounter()
-  {
-    Counter<F> featureCounts = new ClassicCounter<F>();
-    for (int i=0; i < this.size(); i++)
-    {
-      BasicDatum<L, F> datum = (BasicDatum<L, F>) getDatum(i);
-      Set<F> featureSet   = new HashSet<F>(datum.asFeatures());
-      for (F key : featureSet) {
-        featureCounts.incrementCount(key, 1.0);
-      }
-    }
-    return featureCounts;
-  }
-
-  /**
-   * Method to convert features from counts to L1-normalized TFIDF based features
-   * @param datum with a collection of features.
-   * @param featureDocCounts a counter of doc-count for each feature.
-   * @return RVFDatum with l1-normalized tf-idf features.
-   */
-  public RVFDatum<L,F> getL1NormalizedTFIDFDatum(Datum<L,F> datum,Counter<F> featureDocCounts){
-      Counter<F> tfidfFeatures = new ClassicCounter<F>();
-      for(F feature : datum.asFeatures()){
-        if(featureDocCounts.containsKey(feature))
-          tfidfFeatures.incrementCount(feature,1.0);
-      }
-      double l1norm = 0;
-      for(F feature: tfidfFeatures.keySet()){
-        double idf = Math.log(((double)(this.size()+1))/(featureDocCounts.getCount(feature)+0.5));
-        double tf = tfidfFeatures.getCount(feature);
-        tfidfFeatures.setCount(feature, tf*idf);
-        l1norm += tf*idf;
-      }
-      for(F feature: tfidfFeatures.keySet()){
-        double tfidf = tfidfFeatures.getCount(feature);
-        tfidfFeatures.setCount(feature, tfidf/l1norm);
-      }
-      RVFDatum<L,F> rvfDatum = new RVFDatum<L,F>(tfidfFeatures,datum.label());
-      return rvfDatum;
-  }
-
-  /**
-   * Method to convert this dataset to RVFDataset using L1-normalized TF-IDF features
-   * @return RVFDataset
-   */
-  public RVFDataset<L,F> getL1NormalizedTFIDFDataset(){
-    RVFDataset<L,F> rvfDataset = new RVFDataset<L,F>(this.size(),this.featureIndex,this.labelIndex);
-    Counter<F> featureDocCounts = getFeatureCounter();
-    for(int i = 0; i < this.size(); i++){
-      Datum<L,F> datum = this.getDatum(i);
-      RVFDatum<L,F> rvfDatum = getL1NormalizedTFIDFDatum(datum,featureDocCounts);
-      rvfDataset.add(rvfDatum);
-    }
-    return rvfDataset;
-  }
-
-  @Override
-  public void add(Datum<L, F> d) {
-    add(d.asFeatures(), d.label());
-  }
-
-  public void add(Collection<F> features, L label) {
-    ensureSize();
-    addLabel(label);
-    addFeatures(features);
-    size++;
-  }
-
-  protected void ensureSize() {
-    if (labels.length == size) {
-      int[] newLabels = new int[size * 2];
-      System.arraycopy(labels, 0, newLabels, 0, size);
-      labels = newLabels;
-      int[][] newData = new int[size * 2][];
-      System.arraycopy(data, 0, newData, 0, size);
-      data = newData;
-    }
-  }
-
-  protected void addLabel(L label) {
-    labelIndex.add(label);
-    labels[size] = labelIndex.indexOf(label);
-  }
-
-  protected void addFeatures(Collection<F> features) {
-    int[] intFeatures = new int[features.size()];
-    int j = 0;
-    for (F feature : features) {
-      featureIndex.add(feature);
-      int index = featureIndex.indexOf(feature);
-      if (index >= 0) {
-        intFeatures[j] = featureIndex.indexOf(feature);
-        j++;
-      }
-    }
-    data[size] = new int[j];
-    System.arraycopy(intFeatures, 0, data[size], 0, j);
-  }
-
-
-
-  @Override
-  protected final void initialize(int numDatums) {
-    labelIndex = new HashIndex<L>();
-    featureIndex = new HashIndex<F>();
-    labels = new int[numDatums];
-    data = new int[numDatums][];
-    size = 0;
-  }
-
-  /**
-   * @return the index-ed datum
-   */
-  @Override
-  public Datum<L, F> getDatum(int index) {
-    return new BasicDatum<L, F>(featureIndex.objects(data[index]), labelIndex.get(labels[index]));
-  }
-
-  /**
-   * @return the index-ed datum
-   */
-  @Override
-  public RVFDatum<L, F> getRVFDatum(int index) {
-    ClassicCounter<F> c = new ClassicCounter<F>();
-    for (F key : featureIndex.objects(data[index])) {
-      c.incrementCount(key);
-    }
-    return new RVFDatum<L, F>(c, labelIndex.get(labels[index]));
-  }
-
-  /**
-   * Prints some summary statistics to stderr for the Dataset.
-   */
-  @Override
-  public void summaryStatistics() {
-    System.err.println(toSummaryStatistics());
-  }
-
-  public String toSummaryStatistics() {
-    StringBuilder sb = new StringBuilder();
-    sb.append("numDatums: ").append(size).append('\n');
-    sb.append("numLabels: ").append(labelIndex.size()).append(" [");
-    Iterator<L> iter = labelIndex.iterator();
-    while (iter.hasNext()) {
-      sb.append(iter.next());
-      if (iter.hasNext()) {
-        sb.append(", ");
-      }
-    }
-    sb.append("]\n");
-    sb.append("numFeatures (Phi(X) types): ").append(featureIndex.size()).append('\n');
-    // List l = new ArrayList(featureIndex);
-//     Collections.sort(l);
-//     sb.append(l);
-    return sb.toString();
-  }
-
-
-  /**
-   * Applies feature count thresholds to the Dataset.
-   * Only features that match pattern_i and occur at
-   * least threshold_i times (for some i) are kept.
-   *
-   * @param thresholds a list of pattern, threshold pairs
-   */
-  public void applyFeatureCountThreshold(List<Pair<Pattern, Integer>> thresholds) {
-
-    // get feature counts
-    float[] counts = getFeatureCounts();
-
-    // build a new featureIndex
-    Index<F> newFeatureIndex = new HashIndex<F>();
-    LOOP: for (F f : featureIndex) {
-      for (Pair<Pattern, Integer> threshold : thresholds) {
-        Pattern p = threshold.first();
-        Matcher m = p.matcher(f.toString());
-        if (m.matches()) {
-          if (counts[featureIndex.indexOf(f)] >= threshold.second) {
-            newFeatureIndex.add(f);
-          }
-          continue LOOP;
-        }
-      }
-      // we only get here if it didn't match anything on the list
-      newFeatureIndex.add(f);
-    }
-
-    counts = null;
-
-    int[] featMap = new int[featureIndex.size()];
-    for (int i = 0; i < featMap.length; i++) {
-      featMap[i] = newFeatureIndex.indexOf(featureIndex.get(i));
-    }
-
-    featureIndex = null;
-
-    for (int i = 0; i < size; i++) {
-      List<Integer> featList = new ArrayList<Integer>(data[i].length);
-      for (int j = 0; j < data[i].length; j++) {
-        if (featMap[data[i][j]] >= 0) {
-          featList.add(featMap[data[i][j]]);
-        }
-      }
-      data[i] = new int[featList.size()];
-      for (int j = 0; j < data[i].length; j++) {
-        data[i][j] = featList.get(j);
-      }
-    }
-
-    //TODO: continuation of hack from above... hope those features are really strings
-    //if you call this function. ~Sarah
-    featureIndex = newFeatureIndex;
-  }
-
-
-  /**
-   * prints the full feature matrix in tab-delimited form.  These can be BIG
-   * matrices, so be careful!
-   */
-  public void printFullFeatureMatrix(PrintWriter pw) {
-    String sep = "\t";
-    for (int i = 0; i < featureIndex.size(); i++) {
-      pw.print(sep + featureIndex.get(i));
-    }
-    pw.println();
-    for (int i = 0; i < labels.length; i++) {
-      pw.print(labelIndex.get(i));
-      Set<Integer> feats = new HashSet<Integer>();
-      for (int j = 0; j < data[i].length; j++) {
-        int feature = data[i][j];
-        feats.add(Integer.valueOf(feature));
-      }
-      for (int j = 0; j < featureIndex.size(); j++) {
-        if (feats.contains(Integer.valueOf(j))) {
-          pw.print(sep + '1');
-        } else {
-          pw.print(sep + '0');
-        }
-      }
-    }
-  }
-
-  /**
-   * prints the sparse feature matrix using {@link #printSparseFeatureMatrix()}
-   * to {@link System#out System.out}.
-   */
-  public void printSparseFeatureMatrix() {
-    printSparseFeatureMatrix(new PrintWriter(System.out, true));
-  }
-
-  /**
-   * prints a sparse feature matrix representation of the Dataset.  Prints the actual
-   * {@link Object#toString()} representations of features.
-   */
-  public void printSparseFeatureMatrix(PrintWriter pw) {
-    String sep = "\t";
-    for (int i = 0; i < size; i++) {
-      pw.print(labelIndex.get(labels[i]));
-      int[] datum = data[i];
-      for (int j : datum) {
-        pw.print(sep + featureIndex.get(j));
-      }
-      pw.println();
-    }
-  }
-
-
-  public void changeLabelIndex(Index<L> newLabelIndex) {
-
-    labels = trimToSize(labels);
-
-    for (int i = 0; i < labels.length; i++) {
-      labels[i] = newLabelIndex.indexOf(labelIndex.get(labels[i]));
-    }
-    labelIndex = newLabelIndex;
-  }
-
-  public void changeFeatureIndex(Index<F> newFeatureIndex) {
-
-    data = trimToSize(data);
-    labels = trimToSize(labels);
-
-    int[][] newData = new int[data.length][];
-    for (int i = 0; i < data.length; i++) {
-      int[] newD = new int[data[i].length];
-      int k = 0;
-      for (int j = 0; j < data[i].length; j++) {
-        int newIndex = newFeatureIndex.indexOf(featureIndex.get(data[i][j]));
-        if (newIndex >= 0) {
-          newD[k++] = newIndex;
-        }
-      }
-      newData[i] = new int[k];
-      System.arraycopy(newD, 0, newData[i], 0, k);
-    }
-    data = newData;
-    featureIndex = newFeatureIndex;
-  }
-
-  public void selectFeaturesBinaryInformationGain(int numFeatures) {
-    double[] scores = getInformationGains();
-    selectFeatures(numFeatures,scores);
-  }
-
-  /**
-   * Generic method to select features based on the feature scores vector provided as an argument.
-   * @param numFeatures number of features to be selected.
-   * @param scores a vector of size total number of features in the data.
-   */
-  public void selectFeatures(int numFeatures, double[] scores) {
-
-    List<ScoredObject<F>> scoredFeatures = new ArrayList<ScoredObject<F>>();
-
-    for (int i = 0; i < scores.length; i++) {
-      scoredFeatures.add(new ScoredObject<F>(featureIndex.get(i), scores[i]));
-    }
-
-    Collections.sort(scoredFeatures, ScoredComparator.DESCENDING_COMPARATOR);
-    Index<F> newFeatureIndex = new HashIndex<F>();
-    for (int i = 0; i < scoredFeatures.size() && i < numFeatures; i++) {
-      newFeatureIndex.add(scoredFeatures.get(i).object());
-      //System.err.println(scoredFeatures.get(i));
-    }
-
-    for (int i = 0; i < size; i++) {
-      int[] newData = new int[data[i].length];
-      int curIndex = 0;
-      for (int j = 0; j < data[i].length; j++) {
-        int index;
-        if ((index = newFeatureIndex.indexOf(featureIndex.get(data[i][j]))) != -1) {
-          newData[curIndex++] = index;
-        }
-      }
-      int[] newDataTrimmed = new int[curIndex];
-      System.arraycopy(newData, 0, newDataTrimmed, 0, curIndex);
-      data[i] = newDataTrimmed;
-    }
-    featureIndex = newFeatureIndex;
-  }
-
-
-  public double[] getInformationGains() {
-
-    data = trimToSize(data);
-    labels = trimToSize(labels);
-
-    // counts the number of times word X is present
-    ClassicCounter<F> featureCounter = new ClassicCounter<F>();
-
-    // counts the number of time a document has label Y
-    ClassicCounter<L> labelCounter = new ClassicCounter<L>();
-
-    // counts the number of times the document has label Y given word X is present
-    TwoDimensionalCounter<F,L> condCounter = new TwoDimensionalCounter<F,L>();
-
-    for (int i = 0; i < labels.length; i++) {
-      labelCounter.incrementCount(labelIndex.get(labels[i]));
-
-      // convert the document to binary feature representation
-      boolean[] doc = new boolean[featureIndex.size()];
-      //System.err.println(i);
-      for (int j = 0; j < data[i].length; j++) {
-        doc[data[i][j]] = true;
-      }
-
-      for (int j = 0; j < doc.length; j++) {
-        if (doc[j]) {
-          featureCounter.incrementCount(featureIndex.get(j));
-          condCounter.incrementCount(featureIndex.get(j), labelIndex.get(labels[i]), 1.0);
-        }
-      }
-    }
-
-    double entropy = 0.0;
-    for (int i = 0; i < labelIndex.size(); i++) {
-      double labelCount = labelCounter.getCount(labelIndex.get(i));
-      double p = labelCount / size();
-      entropy -= p * (Math.log(p) / Math.log(2));
-    }
-
-    double[] ig = new double[featureIndex.size()];
-    Arrays.fill(ig, entropy);
-
-    for (int i = 0; i < featureIndex.size(); i++) {
-      F feature = featureIndex.get(i);
-
-      double featureCount = featureCounter.getCount(feature);
-      double notFeatureCount = size() - featureCount;
-
-      double pFeature =  featureCount / size();
-      double pNotFeature = (1.0 - pFeature);
-
-      if (featureCount == 0) { ig[i] = 0; continue; }
-      if (notFeatureCount == 0) { ig[i] = 0; continue; }
-
-      double sumFeature = 0.0;
-      double sumNotFeature = 0.0;
-
-      for (int j = 0; j < labelIndex.size(); j++) {
-        L label = labelIndex.get(j);
-
-        double featureLabelCount = condCounter.getCount(feature, label);
-        double notFeatureLabelCount = size() - featureLabelCount;
-
-        // yes, these dont sum to 1.  that is correct.
-        // one is the prob of the label, given that the
-        // feature is present, and the other is the prob
-        // of the label given that the feature is absent
-        double p = featureLabelCount / featureCount;
-        double pNot = notFeatureLabelCount / notFeatureCount;
-
-        if (featureLabelCount != 0) {
-          sumFeature += p * (Math.log(p) / Math.log(2));
-        }
-
-        if (notFeatureLabelCount != 0) {
-          sumNotFeature += pNot * (Math.log(pNot) / Math.log(2));
-        }
-        //System.out.println(pNot+" "+(Math.log(pNot)/Math.log(2)));
-
-      }
-
-        //System.err.println(pFeature+" * "+sumFeature+" = +"+);
-        //System.err.println("^ "+pNotFeature+" "+sumNotFeature);
-
-      ig[i] += pFeature*sumFeature + pNotFeature*sumNotFeature;
-      /* earlier the line above used to be: ig[i] = pFeature*sumFeature + pNotFeature*sumNotFeature;
-       * This completely ignored the entropy term computed above. So added the "+=" to take that into account.
-       * -Ramesh (nmramesh@cs.stanford.edu)
-       */
-    }
-    return ig;
-  }
-
-
-
-  @Override
-  public String toString() {
-    return "Dataset of size " + size;
-  }
-
-  public String toSummaryString() {
-    StringWriter sw = new StringWriter();
-    PrintWriter pw = new PrintWriter(sw);
-    pw.println("Number of data points: " + size());
-    pw.println("Number of active feature tokens: " + numFeatureTokens());
-    pw.println("Number of active feature types:" + numFeatureTypes());
-    return pw.toString();
-  }
-
-  /**
-   * Need to sort the counter by feature keys and dump it
-   *
-   */
-  public static void printSVMLightFormat(PrintWriter pw, ClassicCounter<Integer> c, int classNo) {
-    Integer[] features = c.keySet().toArray(new Integer[c.keySet().size()]);
-    Arrays.sort(features);
-    StringBuilder sb = new StringBuilder();
-    sb.append(classNo);
-    sb.append(' ');
-    for (int f: features) {
-      sb.append(f + 1).append(':').append(c.getCount(f)).append(' ');
-    }
-    pw.println(sb.toString());
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/GeneralDataset.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/GeneralDataset.java
deleted file mode 100644
index e25adb4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/GeneralDataset.java
+++ /dev/null
@@ -1,488 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import java.io.PrintWriter;
-import java.io.Serializable;
-import java.util.*;
-
-import edu.stanford.nlp.ling.BasicDatum;
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.ling.RVFDatum;
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.stats.Counter;
-import edu.stanford.nlp.util.HashIndex;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.Pair;
-
-/**
- * The purpose of this interface is to unify {@link Dataset} and {@link RVFDataset}.
- * @author Kristina Toutanova (kristina@cs.stanford.edu)
- * @author Anna Rafferty (various refactoring with subclasses)
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (Templatization)
- *
- * @param <L> The type of the labels in the Dataset
- * @param <F> The type of the features in the Dataset
- *
- * @author Ramesh Nallapati (nmramesh@cs.stanford.edu)
- * Added an abstract method getDatum. Juily 17th, 2008.
- */
-public abstract class GeneralDataset<L, F>  implements Serializable, Iterable<RVFDatum<L, F>> {
-
-  private static final long serialVersionUID = 19157757130054829L;
-
-  public Index<L> labelIndex;
-  public Index<F> featureIndex;
-
-  protected int[] labels;
-  protected int[][] data;
-
-  protected int size;
-
-  public GeneralDataset() {
-  }
-
-  public Index<L> labelIndex() { return labelIndex; }
-
-  public Index<F> featureIndex() { return featureIndex; }
-
-  public int numFeatures() { return featureIndex.size(); }
-
-  public int numClasses() { return labelIndex.size(); }
-
-  public int[] getLabelsArray() {
-    labels = trimToSize(labels);
-    return labels;
-  }
-
-  public int[][] getDataArray() {
-    data = trimToSize(data);
-    return data;
-  }
-
-  public abstract double[][] getValuesArray();
-
-  /**
-   * Resets the Dataset so that it is empty and ready to collect data.
-   */
-  public void clear() {
-    clear(10);
-  }
-
-  /**
-   * Resets the Dataset so that it is empty and ready to collect data.
-   * @param numDatums initial capacity of dataset
-   */
-  public void clear(int numDatums) {
-    initialize(numDatums);
-  }
-
-  /**
-   * This method takes care of resetting values of the dataset
-   * such that it is empty with an initial capacity of numDatums
-   *
-   * Should be accessed only by appropriate methods within the class,
-   * such as clear(), which take care of other parts of the emptying of data
-   *
-   * @param numDatums initial capacity of dataset
-   */
-  protected abstract void initialize(int numDatums);
-
-
-  public abstract RVFDatum<L, F> getRVFDatum(int index);
-
-  public abstract Datum<L,F> getDatum(int index);
-
-
-  public abstract void add(Datum<L, F> d);
-
-  /**
-   * Get the total count (over all data instances) of each feature
-   *
-   * @return an array containing the counts (indexed by index)
-   */
-  public float[] getFeatureCounts() {
-    float[] counts = new float[featureIndex.size()];
-    for (int i = 0, m = size; i < m; i++) {
-      for (int j = 0, n = data[i].length; j < n; j++) {
-        counts[data[i][j]] += 1.0;
-      }
-    }
-    return counts;
-  }
-
-  /**
-   * Applies a feature count threshold to the Dataset.  All features that
-   * occur fewer than <i>k</i> times are expunged.
-   */
-  public void applyFeatureCountThreshold(int k) {
-    float[] counts = getFeatureCounts();
-    Index<F> newFeatureIndex = new HashIndex<F>();
-
-    int[] featMap = new int[featureIndex.size()];
-    for (int i = 0; i < featMap.length; i++) {
-      F feat = featureIndex.get(i);
-      if (counts[i] >= k) {
-        int newIndex = newFeatureIndex.size();
-        newFeatureIndex.add(feat);
-        featMap[i] = newIndex;
-      } else {
-        featMap[i] = -1;
-      }
-      // featureIndex.remove(feat);
-    }
-
-    featureIndex = newFeatureIndex;
-    // counts = null; // This is unnecessary; JVM can clean it up
-
-    for (int i = 0; i < size; i++) {
-      List<Integer> featList = new ArrayList<Integer>(data[i].length);
-      for (int j = 0; j < data[i].length; j++) {
-        if (featMap[data[i][j]] >= 0) {
-          featList.add(featMap[data[i][j]]);
-        }
-      }
-      data[i] = new int[featList.size()];
-      for (int j = 0; j < data[i].length; j++) {
-        data[i][j] = featList.get(j);
-      }
-    }
-  }
-
-
-  /**
-   * Applies a max feature count threshold to the Dataset.  All features that
-   * occur greater than <i>k</i> times are expunged.
-   */
-  public void applyFeatureMaxCountThreshold(int k) {
-    float[] counts = getFeatureCounts();
-    HashIndex<F> newFeatureIndex = new HashIndex<F>();
-
-    int[] featMap = new int[featureIndex.size()];
-    for (int i = 0; i < featMap.length; i++) {
-      F feat = featureIndex.get(i);
-      if (counts[i] <= k) {
-        int newIndex = newFeatureIndex.size();
-        newFeatureIndex.add(feat);
-        featMap[i] = newIndex;
-      } else {
-        featMap[i] = -1;
-      }
-      // featureIndex.remove(feat);
-    }
-
-    featureIndex = newFeatureIndex;
-    // counts = null; // This is unnecessary; JVM can clean it up
-
-    for (int i = 0; i < size; i++) {
-      List<Integer> featList = new ArrayList<Integer>(data[i].length);
-      for (int j = 0; j < data[i].length; j++) {
-        if (featMap[data[i][j]] >= 0) {
-          featList.add(featMap[data[i][j]]);
-        }
-      }
-      data[i] = new int[featList.size()];
-      for (int j = 0; j < data[i].length; j++) {
-        data[i][j] = featList.get(j);
-      }
-    }
-  }
-
-
-  /**
-   * returns the number of feature tokens in the Dataset.
-   */
-  public int numFeatureTokens() {
-    int x = 0;
-    for (int i = 0, m = size; i < m; i++) {
-      x += data[i].length;
-    }
-    return x;
-  }
-
-  /**
-   * returns the number of distinct feature types in the Dataset.
-   */
-  public int numFeatureTypes() {
-    return featureIndex.size();
-  }
-
-
-
-  /**
-   * Adds all Datums in the given collection of data to this dataset
-   * @param data collection of datums you would like to add to the dataset
-   */
-  public void addAll(Iterable<? extends Datum<L,F>> data) {
-    for (Datum<L, F> d : data) {
-      add(d);
-    }
-  }
-
-  public abstract Pair<GeneralDataset<L, F>, GeneralDataset<L, F>> split (int start, int end) ;
-  public abstract Pair<GeneralDataset<L, F>, GeneralDataset<L, F>> split (double p) ;
-
-  /**
-   * Returns the number of examples ({@link Datum}s) in the Dataset.
-   */
-  public int size() { return size; }
-
-  protected void trimData() {
-    data = trimToSize(data);
-  }
-
-  protected void trimLabels() {
-    labels = trimToSize(labels);
-  }
-
-  protected int[] trimToSize(int[] i) {
-    int[] newI = new int[size];
-    System.arraycopy(i, 0, newI, 0, size);
-    return newI;
-  }
-
-  protected int[][] trimToSize(int[][] i) {
-    int[][] newI = new int[size][];
-    System.arraycopy(i, 0, newI, 0, size);
-    return newI;
-  }
-
-  protected double[][] trimToSize(double[][] i) {
-    double[][] newI = new double[size][];
-    System.arraycopy(i, 0, newI, 0, size);
-    return newI;
-  }
-  
-  /**
-   * Randomizes the data array in place
-   * Note: this cannot change the values array or the datum weights, so redefine this for RVFDataset and WeightedDataset!
-   * @param randomSeed
-   */
-  public void randomize(int randomSeed) {
-    Random rand = new Random(randomSeed);
-    for(int j = size - 1; j > 0; j --){
-      int randIndex = rand.nextInt(j);
-      
-      int [] tmp = data[randIndex];
-      data[randIndex] = data[j];
-      data[j] = tmp;
-      
-      int tmpl = labels[randIndex];
-      labels[randIndex] = labels[j];
-      labels[j] = tmpl;
-    }
-  }
-
-  public GeneralDataset<L,F> sampleDataset(int randomSeed, double sampleFrac, boolean sampleWithReplacement) {
-  	int sampleSize = (int)(this.size()*sampleFrac);
-  	Random rand = new Random(randomSeed);
-  	GeneralDataset<L,F> subset;
-  	if(this instanceof RVFDataset)
-  		subset = new RVFDataset<L,F>();
-  	else if (this instanceof Dataset) {
-  		subset = new Dataset<L,F>();
-  	}
-  	else {
-  		throw new RuntimeException("Can't handle this type of GeneralDataset.");
-  	}
-  	if (sampleWithReplacement) {
-  		for(int i = 0; i < sampleSize; i++){
-  			int datumNum = rand.nextInt(this.size());
-  			subset.add(this.getDatum(datumNum));
-  		}
-  	} else {
-  		Set<Integer> indicedSampled = new HashSet<Integer>();
-  		while (subset.size() < sampleSize) {
-  			int datumNum = rand.nextInt(this.size());
-  			if (!indicedSampled.contains(datumNum)) {
-  				subset.add(this.getDatum(datumNum));
-    			indicedSampled.add(datumNum);
-  			}
-  		}
-  	}
-  	return subset;
-  }
-
-  /**
-   * Print some statistics summarizing the dataset
-   *
-   */
-  public abstract void summaryStatistics();
-
-  /**
-   * Returns an iterator over the class labels of the Dataset
-   *
-   * @return An iterator over the class labels of the Dataset
-   */
-  public Iterator<L> labelIterator() {
-    return labelIndex.iterator();
-  }
-
-
-  /**
-   *
-   * @param dataset
-   * @return a new GeneralDataset whose features and ids map exactly to those of this GeneralDataset.
-   * Useful when two Datasets are created independently and one wants to train a model on one dataset and test on the other. -Ramesh.
-   */
-  public GeneralDataset<L,F> mapDataset(GeneralDataset<L,F> dataset){
-    GeneralDataset<L,F> newDataset;
-    if(dataset instanceof RVFDataset)
-      newDataset = new RVFDataset<L,F>(this.featureIndex,this.labelIndex);
-    else newDataset = new Dataset<L,F>(this.featureIndex,this.labelIndex);
-    this.featureIndex.lock();
-    this.labelIndex.lock();
-    //System.out.println("inside mapDataset: dataset size:"+dataset.size());
-    for(int i = 0; i < dataset.size(); i++)
-      //System.out.println("inside mapDataset: adding datum number"+i);
-      newDataset.add(dataset.getDatum(i));
-
-    //System.out.println("old Dataset stats: numData:"+dataset.size()+" numfeatures:"+dataset.featureIndex().size()+" numlabels:"+dataset.labelIndex.size());
-    //System.out.println("new Dataset stats: numData:"+newDataset.size()+" numfeatures:"+newDataset.featureIndex().size()+" numlabels:"+newDataset.labelIndex.size());
-    //System.out.println("this dataset stats: numData:"+size()+" numfeatures:"+featureIndex().size()+" numlabels:"+labelIndex.size());
-
-    this.featureIndex.unlock();
-    this.labelIndex.unlock();
-    return newDataset;
-  }
-
-  public static <L,L2,F> Datum<L2,F> mapDatum(Datum<L,F> d, Map<L,L2> labelMapping, L2 defaultLabel)
-  {
-    Datum<L2,F> d2 = null;
-    // TODO: How to copy datum?
-    L2 newLabel = labelMapping.get(d.label());
-    if (newLabel == null) {
-      newLabel = defaultLabel;
-    }
-    if (d instanceof RVFDatum) {
-      d2 = new RVFDatum<L2,F>( ((RVFDatum<L,F>) d).asFeaturesCounter(), newLabel );
-    } else {
-      d2 = new BasicDatum<L2,F>( d.asFeatures(), newLabel );
-    }
-    return d2;
-  }
-
-
-  /**
-   *
-   * @param dataset
-   * @return a new GeneralDataset whose features and ids map exactly to those of this GeneralDataset. But labels are converted to be another set of labels
-   */
-  public <L2> GeneralDataset<L2,F> mapDataset(GeneralDataset<L,F> dataset, Index<L2> newLabelIndex, Map<L,L2> labelMapping, L2 defaultLabel)
- {
-    GeneralDataset<L2,F> newDataset;
-    if(dataset instanceof RVFDataset)
-      newDataset = new RVFDataset<L2,F>(this.featureIndex, newLabelIndex);
-    else newDataset = new Dataset<L2,F>(this.featureIndex, newLabelIndex);
-    this.featureIndex.lock();
-    this.labelIndex.lock();
-    //System.out.println("inside mapDataset: dataset size:"+dataset.size());
-    for(int i = 0; i < dataset.size(); i++)  {
-      //System.out.println("inside mapDataset: adding datum number"+i);
-      Datum<L,F> d = dataset.getDatum(i);
-      Datum<L2,F> d2 = mapDatum(d, labelMapping, defaultLabel);
-      newDataset.add(d2);
-    }
-    //System.out.println("old Dataset stats: numData:"+dataset.size()+" numfeatures:"+dataset.featureIndex().size()+" numlabels:"+dataset.labelIndex.size());
-    //System.out.println("new Dataset stats: numData:"+newDataset.size()+" numfeatures:"+newDataset.featureIndex().size()+" numlabels:"+newDataset.labelIndex.size());
-    //System.out.println("this dataset stats: numData:"+size()+" numfeatures:"+featureIndex().size()+" numlabels:"+labelIndex.size());
-
-    this.featureIndex.unlock();
-    this.labelIndex.unlock();
-    return newDataset;
-  }
-
-  /**
-   * Dumps the Dataset as a training/test file for SVMLight. <br>
-   * class [fno:val]+
-   * The features must occur in consecutive order.
-   */
-  public void printSVMLightFormat() {
-    printSVMLightFormat(new PrintWriter(System.out));
-  }
-
-  /**
-   * Maps our labels to labels that are compatible with svm_light
-   * @return array of strings
-   */
-  public String[] makeSvmLabelMap() {
-    String[] labelMap = new String[numClasses()];
-    if (numClasses() > 2) {
-      for (int i = 0; i < labelMap.length; i++) {
-        labelMap[i] = String.valueOf((i + 1));
-      }
-    } else {
-      labelMap = new String[]{"+1", "-1"};
-    }
-    return labelMap;
-  }
-
-  /**
-   * Print SVM Light Format file.
-   *
-   * The following comments are no longer applicable because I am
-   * now printing out the exact labelID for each example. -Ramesh (nmramesh@cs.stanford.edu) 12/17/2009.
-   *
-   * If the Dataset has more than 2 classes, then it
-   * prints using the label index (+1) (for svm_struct).  If it is 2 classes, then the labelIndex.get(0)
-   * is mapped to +1 and labelIndex.get(1) is mapped to -1 (for svm_light).
-   */
-
-  public void printSVMLightFormat(PrintWriter pw) {
-    //assumes each data item has a few features on, and sorts the feature keys while collecting the values in a counter
-
-    // old comment:
-    // the following code commented out by Ramesh (nmramesh@cs.stanford.edu) 12/17/2009.
-    // why not simply print the exact id of the label instead of mapping to some values??
-    // new comment:
-    // mihai: we NEED this, because svm_light has special conventions not supported by default by our labels,
-    //        e.g., in a multiclass setting it assumes that labels start at 1 whereas our labels start at 0 (08/31/2010)
-    String[] labelMap = makeSvmLabelMap();
-
-    for (int i = 0; i < size; i++) {
-      RVFDatum<L, F> d = getRVFDatum(i);
-      Counter<F> c = d.asFeaturesCounter();
-      ClassicCounter<Integer> printC = new ClassicCounter<Integer>();
-      for (F f : c.keySet()) {
-        printC.setCount(featureIndex.indexOf(f), c.getCount(f));
-      }
-      Integer[] features = printC.keySet().toArray(new Integer[printC.keySet().size()]);
-      Arrays.sort(features);
-      StringBuilder sb = new StringBuilder();
-      sb.append(labelMap[labels[i]]).append(' ');
-      // sb.append(labels[i]).append(' '); // commented out by mihai: labels[i] breaks svm_light conventions!
-
-      /* Old code: assumes that F is Integer....
-       *
-      for (int f: features) {
-        sb.append((f + 1)).append(":").append(c.getCount(f)).append(" ");
-      }
-       */
-      //I think this is what was meant (using printC rather than c), but not sure
-      // ~Sarah Spikes (sdspikes@cs.stanford.edu)
-      for (int f: features) {
-        sb.append((f + 1)).append(':').append(printC.getCount(f)).append(' ');
-      }
-      pw.println(sb.toString());
-    }
-  }
-  
- 
-  public Iterator<RVFDatum<L, F>> iterator() {
-    return new Iterator<RVFDatum<L,F>>() {
-      int id = 0;
-
-      public boolean hasNext() {
-        return id < size();
-      }
-
-      public RVFDatum<L, F> next() {
-        return getRVFDatum(id++);
-      }
-
-      public void remove() {
-        throw new UnsupportedOperationException();        
-      }
-      
-    };    
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/GeneralizedExpectationObjectiveFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/GeneralizedExpectationObjectiveFunction.java
deleted file mode 100644
index 8c1ce5b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/GeneralizedExpectationObjectiveFunction.java
+++ /dev/null
@@ -1,217 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.ling.RVFDatum;
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.optimization.AbstractCachingDiffFunction;
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.stats.Counter;
-import edu.stanford.nlp.util.Triple;
-
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.HashMap;
-import java.util.HashSet;
-import java.util.List;
-import java.util.Map;
-import java.util.Set;
-
-
-/**
- * Implementation of Generalized Expectation Objective function for an I.I.D. log-linear model. See Mann and McCallum, ACL 2008.
- * IMPORTANT : the current implementation is only correct as long as the labeled features passed to GE are binary.
- * However, other features are allowed to be real valued. 
- * The original paper also discusses GE only for binary features. 
- * @author Ramesh Nallapati (nmramesh@cs.stanford.edu)
- */
-
-public class GeneralizedExpectationObjectiveFunction<L,F> extends AbstractCachingDiffFunction {
-
-  
-  private GeneralDataset<L,F> labeledDataset;
-  private List<? extends Datum<L,F>> unlabeledDataList;
-  private List<F> geFeatures;
-  private LinearClassifier<L,F> classifier;
-  private double[][] geFeature2EmpiricalDist; //empirical label distributions of each feature.
-  private List<List<Integer>> geFeature2DatumList; //an inverted list of active unlabeled documents for each feature.
-  
-  protected int numFeatures = 0;
-  protected int numClasses = 0;
-  
-  @Override
-  public int domainDimension() {
-    return numFeatures * numClasses;
-  }
-
-  int classOf(int index) {
-    return index % numClasses;
-  }
-
-  int featureOf(int index) {
-    return index / numClasses;
-  }
-
-  protected int indexOf(int f, int c) {
-    return f * numClasses + c;
-  }
-
-  public double[][] to2D(double[] x) {
-    double[][] x2 = new double[numFeatures][numClasses];
-    for (int i = 0; i < numFeatures; i++) {
-      for (int j = 0; j < numClasses; j++) {
-        x2[i][j] = x[indexOf(i, j)];
-      }
-    }
-    return x2;
-  }
-
-  @Override
-  protected void calculate(double[] x) {
-    classifier.setWeights(to2D(x));
-    if (derivative == null) {
-      derivative = new double[x.length];
-    } else {
-      Arrays.fill(derivative, 0.0);
-    }
-    Counter<Triple<Integer,Integer,Integer>> feature2classPairDerivatives = new ClassicCounter<Triple<Integer,Integer,Integer>>();
-        
-    value = 0.0;
-    for(int n = 0; n < geFeatures.size(); n++){
-      //F feature = geFeatures.get(n);
-      double[] modelDist = new double[numClasses];      
-      Arrays.fill(modelDist,0);
-      
-    //go over the unlabeled active data to compute expectations
-      List<Integer> activeData = geFeature2DatumList.get(n);      
-      for(int i = 0; i < activeData.size(); i++){
-        Datum<L,F> datum = unlabeledDataList.get(activeData.get(i));
-        double[] probs = getModelProbs(datum);
-        for(int c = 0; c < numClasses; c++)
-          modelDist[c]+= probs[c];
-        updateDerivative(datum,probs,feature2classPairDerivatives); //computes p(y_d)*(1-p(y_d))*f_d for all active features.                    
-      }
-      
-      //now  compute the value (KL-divergence) and the final value of the derivative.
-      if(activeData.size()>0){
-        for(int c = 0; c < numClasses; c++)
-          modelDist[c]/= activeData.size();
-        smoothDistribution(modelDist);
-        
-        for(int c = 0; c < numClasses; c++)
-          value += -geFeature2EmpiricalDist[n][c]*Math.log(modelDist[c]);
-        
-        for(int f = 0; f < labeledDataset.featureIndex().size(); f++){
-          for(int c = 0; c < numClasses; c++){
-            int wtIndex = indexOf(f,c);
-            for(int cPrime = 0;  cPrime < numClasses; cPrime++){
-              derivative[wtIndex] += feature2classPairDerivatives.getCount(new Triple<Integer,Integer,Integer>(f,c,cPrime))*geFeature2EmpiricalDist[n][cPrime]/modelDist[cPrime];                 
-            }
-            derivative[wtIndex] /= activeData.size(); 
-          }            
-        } // loop over each feature for derivative computation
-      } //end of if condition
-    } //loop over each GE feature
-  }
-    
-  
-   private void updateDerivative(Datum<L,F> datum, double[] probs,Counter<Triple<Integer,Integer,Integer>> feature2classPairDerivatives){
-     for(F feature : datum.asFeatures()){
-       int fID = labeledDataset.featureIndex.indexOf(feature);
-       if(fID >= 0){
-         for(int c = 0; c < numClasses; c++){
-           for(int cPrime = 0; cPrime < numClasses; cPrime++){
-             if(cPrime == c)
-               feature2classPairDerivatives.incrementCount(new Triple<Integer,Integer,Integer>(fID,c,cPrime), - probs[c]*(1-probs[c])*valueOfFeature(feature,datum));
-             else
-               feature2classPairDerivatives.incrementCount(new Triple<Integer,Integer,Integer>(fID,c,cPrime), probs[c]*probs[cPrime]*valueOfFeature(feature,datum));
-           }
-         }
-       }
-     }
-   }
-
-   /*
-    * This method assumes the feature already exists in the datum.
-    */
-   private double valueOfFeature(F feature, Datum<L,F> datum){
-      if(datum instanceof RVFDatum)               
-        return ((RVFDatum<L,F>)datum).asFeaturesCounter().getCount(feature);
-      else return 1.0;
-    }
-   
-    private void computeEmpiricalStatistics(List<F> geFeatures){
-      //allocate memory to the containers and initialize them
-      geFeature2EmpiricalDist = new double[geFeatures.size()][labeledDataset.labelIndex.size()];
-      geFeature2DatumList = new ArrayList<List<Integer>>(geFeatures.size());      
-      Map<F,Integer> geFeatureMap = new HashMap<F,Integer>(); 
-      Set<Integer> activeUnlabeledExamples = new HashSet<Integer>();
-      for(int n = 0; n < geFeatures.size(); n++){
-        F geFeature = geFeatures.get(n);
-        geFeature2DatumList.add(new ArrayList<Integer>());
-        Arrays.fill(geFeature2EmpiricalDist[n], 0);
-        geFeatureMap.put(geFeature,n);
-      }
-        
-      //compute the empirical label distribution for each GE feature
-      for(int i = 0; i < labeledDataset.size(); i++){
-        Datum<L,F> datum = labeledDataset.getDatum(i);
-        int labelID = labeledDataset.labelIndex.indexOf(datum.label());
-        for(F feature : datum.asFeatures()){          
-          if(geFeatureMap.containsKey(feature)){
-            int geFnum = geFeatureMap.get(feature);
-            geFeature2EmpiricalDist[geFnum][labelID]++;
-          }
-        }
-      }
-      //now normalize and smooth the label distribution for each feature.
-      for(int n = 0;  n < geFeatures.size(); n++){
-        ArrayMath.normalize(geFeature2EmpiricalDist[n]);
-        smoothDistribution(geFeature2EmpiricalDist[n]);
-      }
-
-      //now build the inverted index from each GE feature to unlabeled datums that contain it.
-      for(int i = 0; i < unlabeledDataList.size(); i++){
-        Datum<L,F> datum = unlabeledDataList.get(i);
-        for(F feature : datum.asFeatures()){
-          if(geFeatureMap.containsKey(feature)){
-            int geFnum = geFeatureMap.get(feature);
-            geFeature2DatumList.get(geFnum).add(i);
-            activeUnlabeledExamples.add(i);
-          }
-        }
-      }
-      System.out.println("Number of active unlabeled examples:"+activeUnlabeledExamples.size());
-    }
-
-    private void smoothDistribution(double [] dist){      
-      //perform Laplace smoothing
-      double epsilon = 1e-6;  
-      for(int i = 0; i < dist.length; i++)
-        dist[i] += epsilon;
-      ArrayMath.normalize(dist);
-    }
-    
-    private double[] getModelProbs(Datum<L,F> datum){
-      double[] condDist = new double[labeledDataset.numClasses()];
-      Counter<L> probCounter = classifier.probabilityOf(datum);
-      for(L label : probCounter.keySet()){
-        int labelID = labeledDataset.labelIndex.indexOf(label);
-        condDist[labelID] = probCounter.getCount(label);
-      }
-      return condDist;
-    }
-    
-  public GeneralizedExpectationObjectiveFunction(GeneralDataset<L, F> labeledDataset, List<? extends Datum<L,F>> unlabeledDataList,List<F> geFeatures) {
-    System.out.println("Number of labeled examples:"+labeledDataset.size+"\nNumber of unlabeled examples:"+unlabeledDataList.size());
-    System.out.println("Number of GE features:"+geFeatures.size());
-    this.numFeatures = labeledDataset.numFeatures();
-    this.numClasses = labeledDataset.numClasses();
-    this.labeledDataset = labeledDataset;
-    this.unlabeledDataList = unlabeledDataList;
-    this.geFeatures = geFeatures;  
-    this.classifier = new LinearClassifier<L,F>(null,labeledDataset.featureIndex,labeledDataset.labelIndex);    
-    computeEmpiricalStatistics(geFeatures);
-    //empirical distributions don't change with iterations, so compute them only once.
-    //model distributions will have to be recomputed every iteration though.
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/LinearClassifier.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/LinearClassifier.java
deleted file mode 100644
index 5655256..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/LinearClassifier.java
+++ /dev/null
@@ -1,1402 +0,0 @@
-// Stanford Classifier - a multiclass maxent classifier
-// LinearClassifier
-// Copyright (c) 2003-2007 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    Support/Questions: java-nlp-user@lists.stanford.edu
-//    Licensing: java-nlp-support@lists.stanford.edu
-//    http://www-nlp.stanford.edu/software/classifier.shtml
-
-package edu.stanford.nlp.classify;
-
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.ling.BasicDatum;
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.ling.RVFDatum;
-import edu.stanford.nlp.util.*;
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.stats.Counter;
-import edu.stanford.nlp.stats.Distribution;
-import edu.stanford.nlp.stats.Counters;
-
-import java.io.*;
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-import java.util.*;
-
-
-/**
- * Implements a multiclass linear classifier. At classification time this
- * can be any generalized linear model classifier (such as a perceptron,
- * naive logistic regression, SVM).
- *
- * @author Dan Klein
- * @author Jenny Finkel
- * @author Galen Andrew (converted to arrays and indices)
- * @author Christopher Manning (most of the printing options)
- * @author Eric Yeh (save to text file, new constructor w/thresholds)
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (Templatization)
- * @author (nmramesh@cs.stanford.edu) {@link #weightsAsMapOfCounters()}
- * @author Angel Chang (Add functions to get top features, and number of features with weights above a certain threshold)
- *
- * @param <L> The type of the labels in the Classifier
- * @param <F> The type of the features in the Classifier
- */
-public class LinearClassifier<L, F> implements ProbabilisticClassifier<L, F>, RVFClassifier<L, F> {
-
-  /** Classifier weights. First index is the featureIndex value and second
-   *  index is the labelIndex value.
-   */
-  private double[][] weights;
-  private Index<L> labelIndex;
-  private Index<F> featureIndex;
-  public boolean intern = false;   // variable should be deleted when breaking serialization anyway....
-  private double[] thresholds = null;
-
-  private static final long serialVersionUID = 8499574525453275255L;
-
-  private static final int MAX_FEATURE_ALIGN_WIDTH = 50;
-
-  public static final String TEXT_SERIALIZATION_DELIMITER = "\t";
-
-  public Collection<L> labels() {
-    return labelIndex.objectsList();
-  }
-
-  public Collection<F> features() {
-    return featureIndex.objectsList();
-  }
-
-  public Index<L> labelIndex() {
-    return labelIndex;
-  }
-
-  public Index<F> featureIndex() {
-    return featureIndex;
-  }
-
-  private double weight(int iFeature, int iLabel) {
-    if (iFeature < 0) {
-      //System.err.println("feature not seen ");
-      return 0.0;
-    }
-    return weights[iFeature][iLabel];
-  }
-
-  private double weight(F feature, int iLabel) {
-    int f = featureIndex.indexOf(feature);
-    return weight(f, iLabel);
-  }
-
-  public double weight(F feature, L label) {
-    int f = featureIndex.indexOf(feature);
-    int iLabel = labelIndex.indexOf(label);
-    return weight(f, iLabel);
-  }
-
-  /* --- obsolete method from before this class was rewritten using arrays
-  public Counter scoresOf(Datum example) {
-    Counter scores = new Counter();
-    for (Object l : labels()) {
-      scores.setCount(l, scoreOf(example, l));
-    }
-    return scores;
-  }
-  --- */
-
-  /** Construct a counter with keys the labels of the classifier and
-   *  values the score (unnormalized log probability) of each class.
-   */
-  public Counter<L> scoresOf(Datum<L, F> example) {
-    if(example instanceof RVFDatum<?, ?>)return scoresOfRVFDatum((RVFDatum<L,F>)example);
-    Collection<F> feats = example.asFeatures();
-    int[] features = new int[feats.size()];
-    int i = 0;
-    for (F f : feats) {
-      int index = featureIndex.indexOf(f);
-      if (index >= 0) {
-        features[i++] = index;
-      } else {
-        //System.err.println("FEATURE LESS THAN ZERO: " + f);
-      }
-    }
-    int[] activeFeatures = new int[i];
-    System.arraycopy(features, 0, activeFeatures, 0, i);
-    Counter<L> scores = new ClassicCounter<L>();
-    for (L lab : labels()) {
-      scores.setCount(lab, scoreOf(activeFeatures, lab));
-    }
-    return scores;
-  }
-
-  /** Returns of the score of the Datum for the specified label.
-   *  Ignores the true label of the Datum.
-   */
-  public double scoreOf(Datum<L, F> example, L label) {
-    if(example instanceof RVFDatum<?, ?>)return scoreOfRVFDatum((RVFDatum<L,F>)example, label);
-    int iLabel = labelIndex.indexOf(label);
-    double score = 0.0;
-    for (F f : example.asFeatures()) {
-      score += weight(f, iLabel);
-    }
-    return score + thresholds[iLabel];
-  }
-
-  /** Construct a counter with keys the labels of the classifier and
-   *  values the score (unnormalized log probability) of each class
-   *  for an RVFDatum.
-   */
-  @Deprecated
-  public Counter<L> scoresOf(RVFDatum<L, F> example) {
-    Counter<L> scores = new ClassicCounter<L>();
-    for (L l : labels()) {
-      scores.setCount(l, scoreOf(example, l));
-    }
-    //System.out.println("Scores are: " + scores + "   (gold: " + example.label() + ")");
-    return scores;
-  }
-
-  /** Construct a counter with keys the labels of the classifier and
-   *  values the score (unnormalized log probability) of each class
-   *  for an RVFDatum.
-   */
-  private Counter<L> scoresOfRVFDatum(RVFDatum<L, F> example) {
-    Counter<L> scores = new ClassicCounter<L>();
-    for (L l : labels()) {
-      scores.setCount(l, scoreOfRVFDatum(example, l));
-    }
-    //System.out.println("Scores are: " + scores + "   (gold: " + example.label() + ")");
-    return scores;
-  }
-
-  /** Returns the score of the RVFDatum for the specified label.
-   *  Ignores the true label of the RVFDatum.
-   */
-  @Deprecated
-  public double scoreOf(RVFDatum<L, F> example, L label) {
-    int iLabel = labelIndex.indexOf(label);
-    double score = 0.0;
-    Counter<F> features = example.asFeaturesCounter();
-    for (F f : features.keySet()) {
-      score += weight(f, iLabel) * features.getCount(f);
-    }
-    return score + thresholds[iLabel];
-  }
-
-  /** Returns the score of the RVFDatum for the specified label.
-   *  Ignores the true label of the RVFDatum.
-   */
-  private double scoreOfRVFDatum(RVFDatum<L, F> example, L label) {
-    int iLabel = labelIndex.indexOf(label);
-    double score = 0.0;
-    Counter<F> features = example.asFeaturesCounter();
-    for (F f : features.keySet()) {
-      score += weight(f, iLabel) * features.getCount(f);
-    }
-    return score + thresholds[iLabel];
-  }
-
-
-  /** Returns of the score of the Datum as internalized features for the
-   *  specified label. Ignores the true label of the Datum.
-   *  Doesn't consider a value for each feature.
-   */
-  private double scoreOf(int[] feats, L label) {
-    int iLabel = labelIndex.indexOf(label);
-    double score = 0.0;
-    for (int feat : feats) {
-      score += weight(feat, iLabel);
-    }
-    return score + thresholds[iLabel];
-  }
-
-
-  /**
-   * Returns a counter mapping from each class name to the probability of
-   * that class for a certain example.
-   * Looking at the the sum of each count v, should be 1.0.
-   */
-  public Counter<L> probabilityOf(Datum<L, F> example) {
-    if(example instanceof RVFDatum<?, ?>)return probabilityOfRVFDatum((RVFDatum<L,F>)example);
-    Counter<L> scores = logProbabilityOf(example);
-    for (L label : scores.keySet()) {
-      scores.setCount(label, Math.exp(scores.getCount(label)));
-    }
-    return scores;
-  }
-
-  /**
-   * Returns a counter mapping from each class name to the probability of
-   * that class for a certain example.
-   * Looking at the the sum of each count v, should be 1.0.
-   */
-  private Counter<L> probabilityOfRVFDatum(RVFDatum<L, F> example) {
-    // NB: this duplicate method is needed so it calls the scoresOf method
-    // with a RVFDatum signature
-    Counter<L> scores = logProbabilityOfRVFDatum(example);
-    for (L label : scores.keySet()) {
-      scores.setCount(label, Math.exp(scores.getCount(label)));
-    }
-    return scores;
-  }
-
-  /**
-   * Returns a counter mapping from each class name to the probability of
-   * that class for a certain example.
-   * Looking at the the sum of each count v, should be 1.0.
-   */
-  @Deprecated
-  public Counter<L> probabilityOf(RVFDatum<L, F> example) {
-    // NB: this duplicate method is needed so it calls the scoresOf method
-    // with a RVFDatum signature
-    Counter<L> scores = logProbabilityOf(example);
-    for (L label : scores.keySet()) {
-      scores.setCount(label, Math.exp(scores.getCount(label)));
-    }
-    return scores;
-  }
-
-  /**
-   * Returns a counter mapping from each class name to the log probability of
-   * that class for a certain example.
-   * Looking at the the sum of e^v for each count v, should be 1.0.
-   */
-  public Counter<L> logProbabilityOf(Datum<L, F> example) {
-    if(example instanceof RVFDatum<?, ?>)return logProbabilityOfRVFDatum((RVFDatum<L,F>)example);
-    Counter<L> scores = scoresOf(example);
-    Counters.logNormalizeInPlace(scores);
-    return scores;
-  }
-
-  /**
-   * Returns a counter for the log probability of each of the classes
-   * looking at the the sum of e^v for each count v, should be 1
-   */
-  private Counter<L> logProbabilityOfRVFDatum(RVFDatum<L, F> example) {
-    // NB: this duplicate method is needed so it calls the scoresOf method
-    // with an RVFDatum signature!!  Don't remove it!
-    // JLS: type resolution of method parameters is static
-    Counter<L> scores = scoresOfRVFDatum(example);
-    Counters.logNormalizeInPlace(scores);
-    return scores;
-  }
-
-  /**
-   * Returns a counter for the log probability of each of the classes
-   * looking at the the sum of e^v for each count v, should be 1
-   */
-  @Deprecated
-  public Counter<L> logProbabilityOf(RVFDatum<L, F> example) {
-    // NB: this duplicate method is needed so it calls the scoresOf method
-    // with an RVFDatum signature!!  Don't remove it!
-    // JLS: type resolution of method parameters is static
-    Counter<L> scores = scoresOf(example);
-    Counters.logNormalizeInPlace(scores);
-    return scores;
-  }
-
-  /**
-   * Returns indices of labels
-   * @param labels - Set of labels to get indicies
-   * @return Set of indicies
-   */
-  protected Set<Integer> getLabelIndices(Set<L> labels) {
-    Set<Integer> iLabels = new HashSet<Integer>();
-    for (L label:labels) {
-      int iLabel = labelIndex.indexOf(label);
-      iLabels.add(iLabel);
-      if (iLabel < 0) throw new IllegalArgumentException("Unknown label " + label);
-    }
-    return iLabels;
-  }
-
-  /**
-   * Returns number of features with weight above a certain threshold
-   *  (across all labels)
-   * @param threshold  Threshold above which we will count the feature
-   * @param useMagnitude Whether the notion of "large" should ignore
-   *                     the sign of the feature weight.
-   * @return number of features satisfying the specified conditions
-   */
-  public int getFeatureCount(double threshold, boolean useMagnitude)
-  {
-    int n = 0;
-    for (int feat = 0; feat < weights.length; feat++) {
-      for (int lab = 0; lab < weights[feat].length; lab++) {
-        double thisWeight = (useMagnitude)? Math.abs(weights[feat][lab]):weights[feat][lab];
-        if (thisWeight > threshold) {
-          n++;
-        }
-      }
-    }
-    return n;
-  }
-
-  /**
-   * Returns number of features with weight above a certain threshold
-   * @param labels Set of labels we care about when counting features
-   *               Use null to get counts across all labels
-   * @param threshold  Threshold above which we will count the feature
-   * @param useMagnitude Whether the notion of "large" should ignore
-   *                     the sign of the feature weight.
-   * @return number of features satisfying the specified conditions
-   */
-  public int getFeatureCount(Set<L> labels, double threshold, boolean useMagnitude)
-  {
-    if (labels != null) {
-      Set<Integer> iLabels = getLabelIndices(labels);
-      return getFeatureCountLabelIndices(iLabels, threshold, useMagnitude);
-    } else {
-      return getFeatureCount(threshold, useMagnitude);
-    }
-  }
-
-  /**
-   * Returns number of features with weight above a certain threshold
-   * @param iLabels Set of label indices we care about when counting features
-   *                Use null to get counts across all labels
-   * @param threshold  Threshold above which we will count the feature
-   * @param useMagnitude Whether the notion of "large" should ignore
-   *                     the sign of the feature weight.
-   * @return number of features satisfying the specified conditions
-   */
-  protected int getFeatureCountLabelIndices(Set<Integer> iLabels, double threshold, boolean useMagnitude)
-  {
-    int n = 0;
-    for (int feat = 0; feat < weights.length; feat++) {
-      for (int labIndex:iLabels) {
-        double thisWeight = (useMagnitude)? Math.abs(weights[feat][labIndex]):weights[feat][labIndex];
-        if (thisWeight > threshold) {
-          n++;
-        }
-      }
-    }
-    return n;
-  }
-
-  /**
-   * Returns list of top features with weight above a certain threshold
-   *  (list is descending and across all labels)
-   * @param threshold  Threshold above which we will count the feature
-   * @param useMagnitude Whether the notion of "large" should ignore
-   *                     the sign of the feature weight.
-   * @param numFeatures  How many top features to return (-1 for unlimited)
-   * @return List of triples indicating feature, label, weight
-   */
-  public List<Triple<F,L,Double>> getTopFeatures(double threshold, boolean useMagnitude, int numFeatures)
-  {
-    return getTopFeatures(null, threshold, useMagnitude, numFeatures, true);
-  }
-
-  /**
-   * Returns list of top features with weight above a certain threshold
-   * @param labels Set of labels we care about when getting features
-   *               Use null to get features across all labels
-   * @param threshold  Threshold above which we will count the feature
-   * @param useMagnitude Whether the notion of "large" should ignore
-   *                     the sign of the feature weight.
-   * @param numFeatures  How many top features to return (-1 for unlimited)
-   * @param descending Return weights in descending order
-   * @return List of triples indicating feature, label, weight
-   */
-  public List<Triple<F,L,Double>> getTopFeatures(Set<L> labels,
-                                                 double threshold, boolean useMagnitude, int numFeatures,
-                                                 boolean descending)
-  {
-    if (labels != null) {
-      Set<Integer> iLabels = getLabelIndices(labels);
-      return getTopFeaturesLabelIndices(iLabels, threshold, useMagnitude, numFeatures, descending);
-    } else {
-      return getTopFeaturesLabelIndices(null, threshold, useMagnitude, numFeatures, descending);
-    }
-  }
-
-  /**
-   * Returns list of top features with weight above a certain threshold
-   * @param iLabels Set of label indices we care about when getting features
-   *                Use null to get features across all labels
-   * @param threshold  Threshold above which we will count the feature
-   * @param useMagnitude Whether the notion of "large" should ignore
-   *                     the sign of the feature weight.
-   * @param numFeatures  How many top features to return (-1 for unlimited)
-   * @param descending Return weights in descending order
-   * @return List of triples indicating feature, label, weight
-   */
-  protected List<Triple<F,L,Double>> getTopFeaturesLabelIndices(Set<Integer> iLabels,
-                                                 double threshold, boolean useMagnitude, int numFeatures,
-                                                 boolean descending)
-  {
-    edu.stanford.nlp.util.PriorityQueue<Pair<Integer,Integer>> biggestKeys =
-      new FixedPrioritiesPriorityQueue<Pair<Integer,Integer>>();
-
-    // locate biggest keys
-    for (int feat = 0; feat < weights.length; feat++) {
-      for (int lab = 0; lab < weights[feat].length; lab++) {
-        if (iLabels != null && !iLabels.contains(lab)) {
-          continue;
-        }
-        double thisWeight;
-        if (useMagnitude) {
-          thisWeight = Math.abs(weights[feat][lab]);
-        } else {
-          thisWeight = weights[feat][lab];
-        }
-
-        if (thisWeight > threshold) {
-          // reverse the weight, so get smallest first
-          thisWeight = -thisWeight;
-          if (biggestKeys.size() == numFeatures) {
-            // have enough features, add only if bigger
-            double lowest = biggestKeys.getPriority();
-            if (thisWeight < lowest) {
-              // remove smallest
-              biggestKeys.removeFirst();
-              biggestKeys.add(new Pair<Integer, Integer>(feat, lab), thisWeight);
-            }
-          } else {
-            // always add it if don't have enough features yet
-            biggestKeys.add(new Pair<Integer, Integer>(feat, lab), thisWeight);
-          }
-        }
-      }
-    }
-
-    List<Triple<F,L,Double>> topFeatures = new ArrayList<Triple<F,L,Double>>(biggestKeys.size());
-    while (!biggestKeys.isEmpty()) {
-      Pair<Integer,Integer> p = biggestKeys.removeFirst();
-      double weight = weights[p.first()][p.second()];
-      F feat = featureIndex.get(p.first());
-      L label = labelIndex.get(p.second());
-      topFeatures.add(new Triple<F,L,Double>(feat, label, weight));
-    }
-    if (descending) {
-      Collections.reverse(topFeatures);
-    }
-    return topFeatures;
-  }
-
-  /**
-   * Returns string representation of a list of top features
-   * @param topFeatures List of triples indicating feature, label, weight
-   * @return String representation of the list of features
-   */
-  public String topFeaturesToString(List<Triple<F,L,Double>> topFeatures)
-  {
-    // find longest key length (for pretty printing) with a limit
-    int maxLeng = 0;
-    for (Triple<F,L,Double> t : topFeatures) {
-      String key = "(" + t.first + "," + t.second + ")";
-      int leng = key.length();
-      if (leng > maxLeng) {
-        maxLeng = leng;
-      }
-    }
-    maxLeng = Math.min(64, maxLeng);
-
-    // set up pretty printing of weights
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMinimumFractionDigits(4);
-    nf.setMaximumFractionDigits(4);
-    if (nf instanceof DecimalFormat) {
-      ((DecimalFormat) nf).setPositivePrefix(" ");
-    }
-
-    //print high weight features to a String
-    StringBuilder sb = new StringBuilder();
-    for (Triple<F,L,Double> t : topFeatures) {
-      String key = "(" + t.first + "," + t.second + ")";
-      sb.append(StringUtils.pad(key, maxLeng));
-      sb.append(" ");
-      double cnt = t.third();
-      if (Double.isInfinite(cnt)) {
-        sb.append(cnt);
-      } else {
-        sb.append(nf.format(cnt));
-      }
-      sb.append("\n");
-    }
-    return sb.toString();
-  }
-
-  /** Return a String that prints features with large weights.
-   *
-   * @param useMagnitude Whether the notion of "large" should ignore
-   *                     the sign of the feature weight.
-   * @param numFeatures  How many top features to print
-   * @param printDescending Print weights in descending order
-   * @return The String representation of features with large weights
-   */
-  public String toBiggestWeightFeaturesString(boolean useMagnitude,
-      int numFeatures,
-      boolean printDescending) {
-    // this used to try to use a treeset, but that was WRONG....
-    edu.stanford.nlp.util.PriorityQueue<Pair<Integer,Integer>> biggestKeys =
-      new FixedPrioritiesPriorityQueue<Pair<Integer,Integer>>();
-
-    // locate biggest keys
-    for (int feat = 0; feat < weights.length; feat++) {
-      for (int lab = 0; lab < weights[feat].length; lab++) {
-        double thisWeight;
-        // reverse the weight, so get smallest first
-        if (useMagnitude) {
-          thisWeight = -Math.abs(weights[feat][lab]);
-        } else {
-          thisWeight = -weights[feat][lab];
-        }
-        if (biggestKeys.size() == numFeatures) {
-          // have enough features, add only if bigger
-          double lowest = biggestKeys.getPriority();
-          if (thisWeight < lowest) {
-            // remove smallest
-            biggestKeys.removeFirst();
-            biggestKeys.add(new Pair<Integer, Integer>(feat, lab), thisWeight);
-          }
-        } else {
-          // always add it if don't have enough features yet
-          biggestKeys.add(new Pair<Integer, Integer>(feat, lab), thisWeight);
-        }
-      }
-    }
-
-    // Put in List either reversed or not
-    // (Note: can't repeatedly iterate over PriorityQueue.)
-    int actualSize = biggestKeys.size();
-    Pair<Integer, Integer>[] bigArray = ErasureUtils.<Pair<Integer, Integer>>mkTArray(Pair.class,actualSize);
-    // System.err.println("biggestKeys is " + biggestKeys);
-    if (printDescending) {
-      for (int j = actualSize - 1; j >= 0; j--) {
-        bigArray[j] = biggestKeys.removeFirst();
-      }
-    } else {
-      for (int j = 0; j < actualSize; j--) {
-        bigArray[j] = biggestKeys.removeFirst();
-      }
-    }
-    List<Pair<Integer, Integer>> bigColl = Arrays.asList(bigArray);
-    // System.err.println("bigColl is " + bigColl);
-
-    // find longest key length (for pretty printing) with a limit
-    int maxLeng = 0;
-    for (Pair<Integer,Integer> p : bigColl) {
-      String key = "(" + featureIndex.get(p.first) + "," + labelIndex.get(p.second) + ")";
-      int leng = key.length();
-      if (leng > maxLeng) {
-        maxLeng = leng;
-      }
-    }
-    maxLeng = Math.min(64, maxLeng);
-
-    // set up pretty printing of weights
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMinimumFractionDigits(4);
-    nf.setMaximumFractionDigits(4);
-    if (nf instanceof DecimalFormat) {
-      ((DecimalFormat) nf).setPositivePrefix(" ");
-    }
-
-    //print high weight features to a String
-    StringBuilder sb = new StringBuilder("LinearClassifier [printing top " + numFeatures + " features]\n");
-    for (Pair<Integer, Integer> p : bigColl) {
-      String key = "(" + featureIndex.get(p.first) + "," + labelIndex.get(p.second) + ")";
-      sb.append(StringUtils.pad(key, maxLeng));
-      sb.append(" ");
-      double cnt = weights[p.first][p.second];
-      if (Double.isInfinite(cnt)) {
-        sb.append(cnt);
-      } else {
-        sb.append(nf.format(cnt));
-      }
-      sb.append("\n");
-    }
-    return sb.toString();
-  }
-
-  /**
-   * Similar to histogram but exact values of the weights
-   * to see whether there are many equal weights.
-   *
-   * @return A human readable string about the classifier distribution.
-   */
-  public String toDistributionString(int treshold) {
-    Counter<Double> weightCounts = new ClassicCounter<Double>();
-    StringBuilder s = new StringBuilder();
-    s.append("Total number of weights: ").append(totalSize());
-    for (int f = 0; f < weights.length; f++) {
-      for (int l = 0; l < weights[f].length; l++) {
-        weightCounts.incrementCount(weights[f][l]);
-      }
-    }
-
-    s.append("Counts of weights\n");
-    Set<Double> keys = Counters.keysAbove(weightCounts, treshold);
-    s.append(keys.size()).append(" keys occur more than ").append(treshold).append(" times ");
-    return s.toString();
-  }
-
-  public int totalSize() {
-    return labelIndex.size() * featureIndex.size();
-  }
-
-  public String toHistogramString() {
-    // big classifiers
-    double[][] hist = new double[3][202];
-    Object[][] histEg = new Object[3][202];
-    int num = 0;
-    int pos = 0;
-    int neg = 0;
-    int zero = 0;
-    double total = 0.0;
-    double x2total = 0.0;
-    double max = 0.0, min = 0.0;
-    for (int f = 0; f < weights.length; f++) {
-      for (int l = 0; l < weights[f].length; l++) {
-        Pair<F, L> feat = new Pair<F, L>(featureIndex.get(f), labelIndex.get(l));
-        num++;
-        double wt = weights[f][l];
-        total += wt;
-        x2total += wt * wt;
-        if (wt > max) {
-          max = wt;
-        }
-        if (wt < min) {
-          min = wt;
-        }
-        if (wt < 0.0) {
-          neg++;
-        } else if (wt > 0.0) {
-          pos++;
-        } else {
-          zero++;
-        }
-        int index;
-        index = bucketizeValue(wt);
-        hist[0][index]++;
-        if (histEg[0][index] == null) {
-          histEg[0][index] = feat;
-        }
-        if (wt < 0.1 && wt >= -0.1) {
-          index = bucketizeValue(wt * 100.0);
-          hist[1][index]++;
-          if (histEg[1][index] == null) {
-            histEg[1][index] = feat;
-          }
-          if (wt < 0.001 && wt >= -0.001) {
-            index = bucketizeValue(wt * 10000.0);
-            hist[2][index]++;
-            if (histEg[2][index] == null) {
-              histEg[2][index] = feat;
-            }
-          }
-        }
-      }
-    }
-    double ave = total / num;
-    double stddev = (x2total / num) - ave * ave;
-    StringWriter sw = new StringWriter();
-    PrintWriter pw = new PrintWriter(sw);
-
-    pw.println("Linear classifier with " + num + " f(x,y) features");
-    pw.println("Average weight: " + ave + "; std dev: " + stddev);
-    pw.println("Max weight: " + max + " min weight: " + min);
-    pw.println("Weights: " + neg + " negative; " + pos + " positive; " + zero + " zero.");
-
-    printHistCounts(0, "Counts of lambda parameters between [-10, 10)", pw, hist, histEg);
-    printHistCounts(1, "Closeup view of [-0.1, 0.1) depicted * 10^2", pw, hist, histEg);
-    printHistCounts(2, "Closeup view of [-0.001, 0.001) depicted * 10^4", pw, hist, histEg);
-    pw.close();
-    return sw.toString();
-  }
-
-  /** Print out a partial representation of a linear classifier.
-   *  This just calls toString("WeightHistogram", 0)
-   */
-  @Override
-  public String toString() {
-    return toString("WeightHistogram", 0);
-  }
-
-
-  /**
-   * Print out a partial representation of a linear classifier in one of
-   * several ways.
-   *
-   * @param style Options are:
-   *              HighWeight: print out the param parameters with largest weights;
-   *              HighMagnitude: print out the param parameters for which the absolute
-   *              value of their weight is largest;
-   *              AllWeights: print out the weights of all features;
-   *              WeightHistogram: print out a particular hard-coded textual histogram
-   *              representation of a classifier;
-   *              WeightDistribution;
-   *
-   * @param param Determines the number of things printed in certain styles
-   * @throws IllegalArgumentException if the style name is unrecognized
-   */
-  public String toString(String style, int param) {
-    if (style == null || "".equals(style)) {
-      return "LinearClassifier with " + featureIndex.size() + " features, " +
-              labelIndex.size() + " classes, and " +
-              labelIndex.size() * featureIndex.size() + " parameters.\n";
-    } else if (style.equalsIgnoreCase("HighWeight")) {
-      return toBiggestWeightFeaturesString(false, param, true);
-    } else if (style.equalsIgnoreCase("HighMagnitude")) {
-      return toBiggestWeightFeaturesString(true, param, true);
-    } else if (style.equalsIgnoreCase("AllWeights")) {
-      return toAllWeightsString();
-    } else if (style.equalsIgnoreCase("WeightHistogram")) {
-      return toHistogramString();
-    } else if (style.equalsIgnoreCase("WeightDistribution")) {
-      return toDistributionString(param);
-    } else {
-      throw new IllegalArgumentException("Unknown style: " + style);
-    }
-  }
-
-
-  /**
-   * Convert parameter value into number between 0 and 201
-   */
-  private static int bucketizeValue(double wt) {
-    int index;
-    if (wt >= 0.0) {
-      index = ((int) (wt * 10.0)) + 100;
-    } else {
-      index = ((int) (Math.floor(wt * 10.0))) + 100;
-    }
-    if (index < 0) {
-      index = 201;
-    } else if (index > 200) {
-      index = 200;
-    }
-    return index;
-  }
-
-  /**
-   * Print histogram counts from hist and examples over a certain range
-   */
-  private static void printHistCounts(int ind, String title, PrintWriter pw, double[][] hist, Object[][] histEg) {
-    pw.println(title);
-    for (int i = 0; i < 200; i++) {
-      int intpart, fracpart;
-      if (i < 100) {
-        intpart = 10 - ((i + 9) / 10);
-        fracpart = (10 - (i % 10)) % 10;
-      } else {
-        intpart = (i / 10) - 10;
-        fracpart = i % 10;
-      }
-      pw.print("[" + ((i < 100) ? "-" : "") + intpart + "." + fracpart + ", " + ((i < 100) ? "-" : "") + intpart + "." + fracpart + "+0.1): " + hist[ind][i]);
-      if (histEg[ind][i] != null) {
-        pw.print("  [" + histEg[ind][i] + ((hist[ind][i] > 1) ? ", ..." : "") + "]");
-      }
-      pw.println();
-    }
-  }
-
-
-  //TODO: Sort of assumes that Labels are Strings...
-  public String toAllWeightsString() {
-    StringWriter sw = new StringWriter();
-    PrintWriter pw = new PrintWriter(sw);
-    pw.println("Linear classifier with the following weights");
-    Datum<L, F> allFeatures = new BasicDatum<L, F>(features(), (L)null);
-    justificationOf(allFeatures, pw);
-    return sw.toString();
-  }
-
-
-  /**
-   * Print all features in the classifier and the weight that they assign
-   * to each class.
-   */
-  public void dump() {
-    Datum<L, F> allFeatures = new BasicDatum<L, F>(features(), (L)null);
-    justificationOf(allFeatures);
-  }
-
-  public void dump(PrintWriter pw) {
-    Datum<L, F> allFeatures = new BasicDatum<L, F>(features(), (L)null);
-    justificationOf(allFeatures, pw);
-  }
-
-
-
-  @Deprecated
-  public void justificationOf(RVFDatum<L, F> example) {
-    PrintWriter pw = new PrintWriter(System.err, true);
-    justificationOf(example, pw);
-  }
-
-  /**
-   * Print all features active for a particular datum and the weight that
-   * the classifier assigns to each class for those features.
-   */
-  private void justificationOfRVFDatum(RVFDatum<L, F> example, PrintWriter pw) {
-    int featureLength = 0;
-    int labelLength = 6;
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMinimumFractionDigits(2);
-    nf.setMaximumFractionDigits(2);
-    if (nf instanceof DecimalFormat) {
-      ((DecimalFormat) nf).setPositivePrefix(" ");
-    }
-    Counter<F> features = example.asFeaturesCounter();
-    for (F f : features.keySet()) {
-      featureLength = Math.max(featureLength, f.toString().length() + 2 +
-          nf.format(features.getCount(f)).length());
-    }
-    // make as wide as total printout
-    featureLength = Math.max(featureLength, "Total:".length());
-    // don't make it ridiculously wide
-    featureLength = Math.min(featureLength, MAX_FEATURE_ALIGN_WIDTH);
-
-    for (Object l : labels()) {
-      labelLength = Math.max(labelLength, l.toString().length());
-    }
-
-    StringBuilder header = new StringBuilder("");
-    for (int s = 0; s < featureLength; s++) {
-      header.append(' ');
-    }
-    for (L l : labels()) {
-      header.append(' ');
-      header.append(StringUtils.pad(l, labelLength));
-    }
-    pw.println(header);
-    for (F f : features.keySet()) {
-      String fStr = f.toString();
-      StringBuilder line = new StringBuilder(fStr);
-      line.append("[").append(nf.format(features.getCount(f))).append("]");
-      fStr = line.toString();
-      for (int s = fStr.length(); s < featureLength; s++) {
-        line.append(' ');
-      }
-      for (L l : labels()) {
-        String lStr = nf.format(weight(f, l));
-        line.append(' ');
-        line.append(lStr);
-        for (int s = lStr.length(); s < labelLength; s++) {
-          line.append(' ');
-        }
-      }
-      pw.println(line);
-    }
-    Counter<L> scores = scoresOfRVFDatum(example);
-    StringBuilder footer = new StringBuilder("Total:");
-    for (int s = footer.length(); s < featureLength; s++) {
-      footer.append(' ');
-    }
-    for (L l : labels()) {
-      footer.append(' ');
-      String str = nf.format(scores.getCount(l));
-      footer.append(str);
-      for (int s = str.length(); s < labelLength; s++) {
-        footer.append(' ');
-      }
-    }
-    pw.println(footer);
-    Distribution<L> distr = Distribution.distributionFromLogisticCounter(scores);
-    footer = new StringBuilder("Prob:");
-    for (int s = footer.length(); s < featureLength; s++) {
-      footer.append(' ');
-    }
-    for (L l : labels()) {
-      footer.append(' ');
-      String str = nf.format(distr.getCount(l));
-      footer.append(str);
-      for (int s = str.length(); s < labelLength; s++) {
-        footer.append(' ');
-      }
-    }
-    pw.println(footer);
-  }
-
-
-  /**
-   * Print all features active for a particular datum and the weight that
-   * the classifier assigns to each class for those features.
-   */
-  @Deprecated
-  public void justificationOf(RVFDatum<L, F> example, PrintWriter pw) {
-    int featureLength = 0;
-    int labelLength = 6;
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMinimumFractionDigits(2);
-    nf.setMaximumFractionDigits(2);
-    if (nf instanceof DecimalFormat) {
-      ((DecimalFormat) nf).setPositivePrefix(" ");
-    }
-    Counter<F> features = example.asFeaturesCounter();
-    for (F f : features.keySet()) {
-      featureLength = Math.max(featureLength, f.toString().length() + 2 +
-          nf.format(features.getCount(f)).length());
-    }
-    // make as wide as total printout
-    featureLength = Math.max(featureLength, "Total:".length());
-    // don't make it ridiculously wide
-    featureLength = Math.min(featureLength, MAX_FEATURE_ALIGN_WIDTH);
-
-    for (Object l : labels()) {
-      labelLength = Math.max(labelLength, l.toString().length());
-    }
-
-    StringBuilder header = new StringBuilder("");
-    for (int s = 0; s < featureLength; s++) {
-      header.append(' ');
-    }
-    for (L l : labels()) {
-      header.append(' ');
-      header.append(StringUtils.pad(l, labelLength));
-    }
-    pw.println(header);
-    for (F f : features.keySet()) {
-      String fStr = f.toString();
-      StringBuilder line = new StringBuilder(fStr);
-      line.append("[").append(nf.format(features.getCount(f))).append("]");
-      fStr = line.toString();
-      for (int s = fStr.length(); s < featureLength; s++) {
-        line.append(' ');
-      }
-      for (L l : labels()) {
-        String lStr = nf.format(weight(f, l));
-        line.append(' ');
-        line.append(lStr);
-        for (int s = lStr.length(); s < labelLength; s++) {
-          line.append(' ');
-        }
-      }
-      pw.println(line);
-    }
-    Counter<L> scores = scoresOf(example);
-    StringBuilder footer = new StringBuilder("Total:");
-    for (int s = footer.length(); s < featureLength; s++) {
-      footer.append(' ');
-    }
-    for (L l : labels()) {
-      footer.append(' ');
-      String str = nf.format(scores.getCount(l));
-      footer.append(str);
-      for (int s = str.length(); s < labelLength; s++) {
-        footer.append(' ');
-      }
-    }
-    pw.println(footer);
-    Distribution<L> distr = Distribution.distributionFromLogisticCounter(scores);
-    footer = new StringBuilder("Prob:");
-    for (int s = footer.length(); s < featureLength; s++) {
-      footer.append(' ');
-    }
-    for (L l : labels()) {
-      footer.append(' ');
-      String str = nf.format(distr.getCount(l));
-      footer.append(str);
-      for (int s = str.length(); s < labelLength; s++) {
-        footer.append(' ');
-      }
-    }
-    pw.println(footer);
-  }
-
-
-  public void justificationOf(Datum<L, F> example) {
-    PrintWriter pw = new PrintWriter(System.err, true);
-    justificationOf(example, pw);
-  }
-
-  public <T> void justificationOf(Datum<L, F> example, PrintWriter pw, Function<F, T> printer) {
-    justificationOf(example, pw, printer, false);
-  }
-
-  /** Print all features active for a particular datum and the weight that
-   *  the classifier assigns to each class for those features.
-   *
-   *  @param example The datum for which features are to be printed
-   *  @param pw Where to print it to
-   *  @param printer If this is non-null, then it is applied to each
-   *        feature to convert it to a more readable form
-   *  @param sortedByFeature Whether to sort by feature names
-   */
-  public <T> void justificationOf(Datum<L, F> example, PrintWriter pw,
-      Function<F, T> printer, boolean sortedByFeature) {
-
-    if(example instanceof RVFDatum<?, ?>) {
-      justificationOfRVFDatum((RVFDatum<L,F>)example,pw);
-      return;
-    }
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMinimumFractionDigits(2);
-    nf.setMaximumFractionDigits(2);
-    if (nf instanceof DecimalFormat) {
-      ((DecimalFormat) nf).setPositivePrefix(" ");
-    }
-
-    // determine width for features, making it at least total's width
-    int featureLength = 0;
-    //TODO: not really sure what this Printer is supposed to spit out...
-    for (F f : example.asFeatures()) {
-      int length = f.toString().length();
-      if (printer != null) {
-        length = printer.apply(f).toString().length();
-      }
-      featureLength = Math.max(featureLength, length);
-    }
-    // make as wide as total printout
-    featureLength = Math.max(featureLength, "Total:".length());
-    // don't make it ridiculously wide
-    featureLength = Math.min(featureLength, MAX_FEATURE_ALIGN_WIDTH);
-
-    // determine width for labels
-    int labelLength = 6;
-    for (L l : labels()) {
-      labelLength = Math.max(labelLength, l.toString().length());
-    }
-
-    // print header row of output listing classes
-    StringBuilder header = new StringBuilder("");
-    for (int s = 0; s < featureLength; s++) {
-      header.append(' ');
-    }
-    for (L l : labels()) {
-      header.append(' ');
-      header.append(StringUtils.pad(l, labelLength));
-    }
-    pw.println(header);
-
-    // print active features and weights per class
-    Collection<F> featColl = example.asFeatures();
-    if (sortedByFeature){
-      featColl = ErasureUtils.sortedIfPossible(featColl);
-    }
-    for (F f : featColl) {
-      String fStr;
-      if (printer != null) {
-        fStr = printer.apply(f).toString();
-      } else {
-        fStr = f.toString();
-      }
-      StringBuilder line = new StringBuilder(fStr);
-      for (int s = fStr.length(); s < featureLength; s++) {
-        line.append(' ');
-      }
-      for (L l : labels()) {
-        String lStr = nf.format(weight(f, l));
-        line.append(' ');
-        line.append(lStr);
-        for (int s = lStr.length(); s < labelLength; s++) {
-          line.append(' ');
-        }
-      }
-      pw.println(line);
-    }
-
-    // Print totals, probs, etc.
-    Counter<L> scores = scoresOf(example);
-    StringBuilder footer = new StringBuilder("Total:");
-    for (int s = footer.length(); s < featureLength; s++) {
-      footer.append(' ');
-    }
-    for (L l : labels()) {
-      footer.append(' ');
-      String str = nf.format(scores.getCount(l));
-      footer.append(str);
-      for (int s = str.length(); s < labelLength; s++) {
-        footer.append(' ');
-      }
-    }
-    pw.println(footer);
-    Distribution<L> distr = Distribution.distributionFromLogisticCounter(scores);
-    footer = new StringBuilder("Prob:");
-    for (int s = footer.length(); s < featureLength; s++) {
-      footer.append(' ');
-    }
-    for (L l : labels()) {
-      footer.append(' ');
-      String str = nf.format(distr.getCount(l));
-      footer.append(str);
-      for (int s = str.length(); s < labelLength; s++) {
-        footer.append(' ');
-      }
-    }
-    pw.println(footer);
-  }
-
-/**
- * This method returns a map from each label to a counter of feature weights for that label.
- * Useful for feature analysis.
- * @return a map of counters
- */
-
-  public Map<L,Counter<F>> weightsAsMapOfCounters() {
-    Map<L,Counter<F>> mapOfCounters = new HashMap<L,Counter<F>>();
-    for(L label : labelIndex){
-      int labelID = labelIndex.indexOf(label);
-      Counter<F> c = new ClassicCounter<F>();
-      mapOfCounters.put(label, c);
-      for (F f : featureIndex) {
-        c.incrementCount(f, weights[featureIndex.indexOf(f)][labelID]);
-      }
-    }
-    return mapOfCounters;
-  }
-
-  /**
-   * Print all features active for a particular datum and the weight that
-   * the classifier assigns to each class for those features.
-   */
-  public void justificationOf(Datum<L, F> example, PrintWriter pw) {
-    justificationOf(example, pw, null);
-  }
-
-
-  /**
-   * Print all features in the classifier and the weight that they assign
-   * to each class. The feature names are printed in sorted order.
-   */
-  public void dumpSorted() {
-    Datum<L, F> allFeatures = new BasicDatum<L, F>(features(), (L)null);
-    justificationOf(allFeatures, new PrintWriter(System.err, true), true);
-  }
-
-  /**
-   * Print all features active for a particular datum and the weight that
-   * the classifier assigns to each class for those features. Sorts by feature
-   * name if 'sorted' is true.
-   */
-  public void justificationOf(Datum<L, F> example, PrintWriter pw, boolean sorted) {
-    if(example instanceof RVFDatum<?, ?>)
-    justificationOf(example, pw, null, sorted);
-  }
-
-
-  public Counter<L> scoresOf(Datum<L, F> example, Collection<L> possibleLabels) {
-    Counter<L> scores = new ClassicCounter<L>();
-    for (L l : possibleLabels) {
-      if (labelIndex.indexOf(l) == -1) {
-        continue;
-      }
-      double score = scoreOf(example, l);
-      scores.setCount(l, score);
-    }
-    return scores;
-  }
-
-
-  public L experimentalClassOf(Datum<L,F> example) {
-	  if(example instanceof RVFDatum<?, ?>) {
-		  throw new UnsupportedOperationException();
-	  }
-	  
-	  int labelCount = weights[0].length;
-	  //System.out.printf("labelCount: %d\n", labelCount);
-	  Collection<F> features = example.asFeatures();
-	  
-	  int[] featureInts = new int[features.size()];
-	  int fI = 0;
-	  for (F feature : features) {
-		  featureInts[fI++] = featureIndex.indexOf(feature);
-	  }
-	  //System.out.println("Features: "+features);
-	  double bestScore = Double.NEGATIVE_INFINITY;
-	  int bestI = 0;
-	  for (int i = 0; i < labelCount; i++) {
-		  double score = 0;
-		  for (int j = 0; j < featureInts.length; j++) {
-			  if (featureInts[j] < 0) continue;
-			  score += weights[featureInts[j]][i];
-		  }
-		  if (score > bestScore) {
-			  bestI = i;
-			  bestScore = score;
-		  }
-		  //System.out.printf("Score: %s(%d): %e\n", labelIndex.get(i), i, score);
-	  }
-	  //System.out.printf("label(%d): %s\n", bestI, labelIndex.get(bestI));;
-	  return labelIndex.get(bestI);
-  }
-  
-  public L classOf(Datum<L, F> example) {
-    if(example instanceof RVFDatum<?, ?>)return classOfRVFDatum((RVFDatum<L,F>)example);
-    Counter<L> scores = scoresOf(example);
-    return Counters.argmax(scores);
-  }
-
-
-  private L classOfRVFDatum(RVFDatum<L, F> example) {
-    Counter<L> scores = scoresOfRVFDatum(example);
-    return Counters.argmax(scores);
-  }
-
-  @Deprecated
-  public L classOf(RVFDatum<L, F> example) {
-    Counter<L> scores = scoresOf(example);
-    return Counters.argmax(scores);
-  }
-
-  public LinearClassifier(double[][] weights, Index<F> featureIndex, Index<L> labelIndex) {
-    this.featureIndex = featureIndex;
-    this.labelIndex = labelIndex;
-    this.weights = weights;
-    thresholds = new double[labelIndex.size()];
-    Arrays.fill(thresholds, 0.0);
-  }
-
-  public LinearClassifier(double[][] weights, Index<F> featureIndex, Index<L> labelIndex,
-      double[] thresholds) throws Exception {
-    this.featureIndex = featureIndex;
-    this.labelIndex = labelIndex;
-    this.weights = weights;
-    if (thresholds.length != labelIndex.size())
-      throw new Exception("Number of thresholds and number of labels do not match.");
-    thresholds = new double[thresholds.length];
-    int curr = 0;
-    for (double tval : thresholds) {
-      thresholds[curr++] = tval;
-    }
-    Arrays.fill(thresholds, 0.0);
-  }
-
-  public LinearClassifier(double[] weights, Index<Pair<F, L>> weightIndex) {
-    Counter<Pair<F,L>> weightCounter = new ClassicCounter<Pair<F,L>>();
-    for (int i = 0; i < weightIndex.size(); i++) {
-      if (weights[i] == 0) {
-        continue; // no need to save 0 weights
-      }
-      weightCounter.setCount(weightIndex.get(i), weights[i]);
-    }
-    init(weightCounter, new ClassicCounter<L>());
-  }
-
-  public LinearClassifier(Counter<? extends Pair<F, L>> weightCounter) {
-    this(weightCounter, new ClassicCounter<L>());
-  }
-
-  public LinearClassifier(Counter<? extends Pair<F, L>> weightCounter, Counter<L> thresholdsC) {
-    init(weightCounter,thresholdsC);
-  }
-
-  private void init(Counter<? extends Pair<F, L>> weightCounter, Counter<L> thresholdsC) {
-    Collection<? extends Pair<F, L>> keys = weightCounter.keySet();
-    featureIndex = new HashIndex<F>();
-    labelIndex = new HashIndex<L>();
-    for (Pair<F, L> p : keys) {
-      featureIndex.add(p.first());
-      labelIndex.add(p.second());
-    }
-    thresholds = new double[labelIndex.size()];
-    for (L label : labelIndex) {
-      thresholds[labelIndex.indexOf(label)] = thresholdsC.getCount(label);
-    }
-    weights = new double[featureIndex.size()][labelIndex.size()];
-    Pair<F, L> tempPair = new Pair<F, L>();
-    for (int f = 0; f < weights.length; f++) {
-      for (int l = 0; l < weights[f].length; l++) {
-        tempPair.first = featureIndex.get(f);
-        tempPair.second = labelIndex.get(l);
-        weights[f][l] = weightCounter.getCount(tempPair);
-      }
-    }
-  }
-
-
-  public void adaptWeights(Dataset<L, F> adapt,LinearClassifierFactory<L, F> lcf) {
-    System.err.println("before adapting, weights size="+weights.length);
-    weights = lcf.adaptWeights(weights,adapt);
-    System.err.println("after adapting, weights size="+weights.length);
-  }
-
-  public double[][] weights() {
-    return weights;
-  }
-
-  public void setWeights(double[][] newWeights) {
-    weights = newWeights;
-  }
-
-  /**
-   * Loads a classifier from a file.
-   * Simple convenience wrapper for IOUtils.readFromString.
-   */
-  public static <L, F> LinearClassifier<L, F> readClassifier(String loadPath) {
-    System.err.print("Deserializing classifier from " + loadPath + "...");
-
-    try {
-      ObjectInputStream ois = IOUtils.readStreamFromString(loadPath);
-      LinearClassifier<L, F> classifier = ErasureUtils.<LinearClassifier<L, F>>uncheckedCast(ois.readObject());
-      ois.close();
-      return classifier;
-    } catch (Exception e) {
-      e.printStackTrace();
-      throw new RuntimeException("Deserialization failed: "+e.getMessage());
-    }
-  }
-
-  /**
-   * Convenience wrapper for IOUtils.writeObjectToFile
-   */
-  public static void writeClassifier(LinearClassifier<?, ?> classifier, String writePath) {
-    try {
-      IOUtils.writeObjectToFile(classifier, writePath);
-    } catch (Exception e) {
-      throw new RuntimeException("Serialization failed: "+e.getMessage(), e);
-    }
-  }
-
-  /**
-   * Saves this out to a standard text file, instead of as a serialized Java object.
-   * NOTE: this currently assumes feature and weights are represented as Strings.
-   * @param file String filepath to write out to.
-   */
-  public void saveToFilename(String file) {
-    try {
-      File tgtFile = new File(file);
-      BufferedWriter out = new BufferedWriter(new FileWriter(tgtFile));
-      // output index first, blank delimiter, outline feature index, then weights
-      labelIndex.saveToWriter(out);
-      featureIndex.saveToWriter(out);
-      int numLabels = labelIndex.size();
-      int numFeatures = featureIndex.size();
-      for (int featIndex=0; featIndex<numFeatures; featIndex++) {
-        for (int labelIndex=0;labelIndex<numLabels;labelIndex++) {
-          out.write(String.valueOf(featIndex));
-          out.write(TEXT_SERIALIZATION_DELIMITER);
-          out.write(String.valueOf(labelIndex));
-          out.write(TEXT_SERIALIZATION_DELIMITER);
-          out.write(String.valueOf(weight(featIndex, labelIndex)));
-          out.write("\n");
-        }
-      }
-
-      // write out thresholds: first item after blank is the number of thresholds, after is the threshold array values.
-      out.write("\n");
-      out.write(String.valueOf(thresholds.length));
-      out.write("\n");
-      for (double val : thresholds) {
-        out.write(String.valueOf(val));
-        out.write("\n");
-      }
-      out.close();
-    } catch (Exception e) {
-      System.err.println("Error attempting to save classifier to file="+file);
-      e.printStackTrace();
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/LinearClassifierFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/LinearClassifierFactory.java
deleted file mode 100644
index 05e02e5..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/LinearClassifierFactory.java
+++ /dev/null
@@ -1,863 +0,0 @@
-// Stanford Classifier - a multiclass maxent classifier
-// LinearClassifierFactory
-// Copyright (c) 2003-2007 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    Support/Questions: java-nlp-user@lists.stanford.edu
-//    Licensing: java-nlp-support@lists.stanford.edu
-//    http://www-nlp.stanford.edu/software/classifier.shtml
-
-package edu.stanford.nlp.classify;
-
-import java.io.BufferedReader;
-import java.io.File;
-import java.io.FileReader;
-import java.util.Arrays;
-import java.util.List;
-
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.ling.RVFDatum;
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.optimization.*;
-import edu.stanford.nlp.sequences.SeqClassifierFlags;
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.stats.Counter;
-import edu.stanford.nlp.stats.Counters;
-import edu.stanford.nlp.stats.MultiClassAccuracyStats;
-import edu.stanford.nlp.stats.Scorer;
-import edu.stanford.nlp.util.ArrayUtils;
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.util.Generics;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.HashIndex;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.Timing;
-import edu.stanford.nlp.util.Triple;
-
-/**
- * Builds various types of linear classifiers, with functionality for
- * setting objective function, optimization method, and other parameters.
- * Classifiers can be defined with passed constructor arguments or using setter methods.
- * Defaults to Quasi-newton optimization of a <code>LogConditionalObjectiveFunction</code>
- * (Merges old classes: CGLinearClassifierFactory, QNLinearClassifierFactory, and MaxEntClassifierFactory).
- *
- * @author Jenny Finkel
- * @author Chris Cox (merged factories, 8/11/04)
- * @author Dan Klein (CGLinearClassifierFactory, MaxEntClassifierFactory)
- * @author Galen Andrew (tuneSigma), Marie-Catherine de Marneffe (CV in tuneSigma)
- * @author Sarah Spikes (Templatization, though I don't know what to do with the Minimizer)
- * @author Ramesh Nallapati (nmramesh@cs.stanford.edu) {@link #trainSemiSupGE} methods
- */
-
-public class LinearClassifierFactory<L, F> extends AbstractLinearClassifierFactory<L, F> {
-
-  /**
-   *
-   */
-  private static final long serialVersionUID = 7893768984379107397L;
-  private double TOL;
-  //public double sigma;
-  private int mem = 15;
-  private boolean verbose = false;
-  //private int prior;
-  //private double epsilon = 0.0;
-  private LogPrior logPrior;
-  private Minimizer<DiffFunction> minimizer;
-  //private boolean useSum = false;
-  private boolean tuneSigmaHeldOut = false;
-  private boolean tuneSigmaCV = false;
-  //private boolean resetWeight = true;
-  private int folds;
-  private double min = 0.1;
-  private double max = 10.0;
-  private boolean retrainFromScratchAfterSigmaTuning = false;
-
-
-  /**
-   * Adapt classifier (adjust the mean of Gaussian prior)
-   * under construction -pichuan
-   * @param origWeights the original weights trained from the training data
-   * @param adaptDataset the Dataset used to adapt the trained weights
-   * @return adapted weights
-   */
-  public double[][] adaptWeights(double[][] origWeights, GeneralDataset<L, F> adaptDataset) {
-    System.err.println("adaptWeights in LinearClassifierFactory. increase weight dim only");
-    double[][] newWeights = new double[adaptDataset.featureIndex.size()][adaptDataset.labelIndex.size()];
-
-    System.arraycopy(origWeights,0,newWeights,0,origWeights.length);
-
-    AdaptedGaussianPriorObjectiveFunction<L, F> objective = new AdaptedGaussianPriorObjectiveFunction<L, F>(adaptDataset, logPrior,newWeights);
-
-    double[] initial = objective.initial();
-
-    double[] weights = minimizer.minimize(objective, TOL, initial);
-    return objective.to2D(weights);
-
-    //Question: maybe the adaptWeights can be done just in LinearClassifier ?? (pichuan)
-  }
-
-  @Override
-  public double[][] trainWeights(GeneralDataset<L, F> dataset) {
-    return trainWeights(dataset, null);
-  }
-
-  public double[][] trainWeights(GeneralDataset<L, F> dataset, double[] initial) {
-    return trainWeights(dataset, initial, false);
-  }
-
-  public double[][] trainWeights(GeneralDataset<L, F> dataset, double[] initial, boolean bypassTuneSigma) {
-    if(dataset instanceof RVFDataset)
-      ((RVFDataset<L,F>)dataset).ensureRealValues();
-    double[] interimWeights = null;
-    if(! bypassTuneSigma) {
-      if (tuneSigmaHeldOut) {
-        interimWeights = heldOutSetSigma(dataset); // the optimum interim weights from held-out training data have already been found.
-      } else if (tuneSigmaCV) {
-        crossValidateSetSigma(dataset,folds); // TODO: assign optimum interim weights as part of this process.
-      }
-    }
-    LogConditionalObjectiveFunction<L, F> objective = new LogConditionalObjectiveFunction<L, F>(dataset, logPrior);
-    if(initial == null && interimWeights != null && ! retrainFromScratchAfterSigmaTuning) {
-      //System.err.println("## taking advantage of interim weights as starting point.");
-      initial = interimWeights;
-    }
-    if (initial == null) {
-      initial = objective.initial();
-    }
-
-    double[] weights = minimizer.minimize(objective, TOL, initial);
-    return objective.to2D(weights);
-  }
-
-  /**
-   * IMPORTANT: dataset and biasedDataset must have same featureIndex, labelIndex
-   */
-  public Classifier<L, F> trainClassifierSemiSup(GeneralDataset<L, F> data, GeneralDataset<L, F> biasedData, double[][] confusionMatrix, double[] initial) {
-    double[][] weights =  trainWeightsSemiSup(data, biasedData, confusionMatrix, initial);
-    LinearClassifier<L, F> classifier = new LinearClassifier<L, F>(weights, data.featureIndex(), data.labelIndex());
-    return classifier;
-  }
-
-  public double[][] trainWeightsSemiSup(GeneralDataset<L, F> data, GeneralDataset<L, F> biasedData, double[][] confusionMatrix, double[] initial) {
-    LogConditionalObjectiveFunction<L, F> objective = new LogConditionalObjectiveFunction<L, F>(data, new LogPrior(LogPrior.LogPriorType.NULL));
-    BiasedLogConditionalObjectiveFunction biasedObjective = new BiasedLogConditionalObjectiveFunction(biasedData, confusionMatrix, new LogPrior(LogPrior.LogPriorType.NULL));
-    SemiSupervisedLogConditionalObjectiveFunction semiSupObjective = new SemiSupervisedLogConditionalObjectiveFunction(objective, biasedObjective, logPrior);
-    if (initial == null) {
-      initial = objective.initial();
-    }
-    double[] weights = minimizer.minimize(semiSupObjective, TOL, initial);
-    return objective.to2D(weights);
-  }
-
-  /**
-   * Trains the linear classifier using Generalized Expectation criteria as described in
-   * <tt>Generalized Expectation Criteria for Semi Supervised Learning of Conditional Random Fields</tt>, Mann and McCallum, ACL 2008.
-   * The original algorithm is proposed for CRFs but has been adopted to LinearClassifier (which is a simpler special case of a CRF).
-   * IMPORTANT: the labeled features that are passed as an argument are assumed to be binary valued, although
-   * other features are allowed to be real valued.
-   */
-  public LinearClassifier<L,F> trainSemiSupGE(GeneralDataset<L, F> labeledDataset, List<? extends Datum<L, F>> unlabeledDataList, List<F> GEFeatures, double convexComboCoeff) {
-    LogConditionalObjectiveFunction<L, F> objective = new LogConditionalObjectiveFunction<L, F>(labeledDataset, new LogPrior(LogPrior.LogPriorType.NULL));
-    GeneralizedExpectationObjectiveFunction<L,F> geObjective = new GeneralizedExpectationObjectiveFunction<L,F>(labeledDataset, unlabeledDataList, GEFeatures);
-    SemiSupervisedLogConditionalObjectiveFunction semiSupObjective = new SemiSupervisedLogConditionalObjectiveFunction(objective, geObjective, null,convexComboCoeff);
-    double[] initial = objective.initial();
-    double[] weights = minimizer.minimize(semiSupObjective, TOL, initial);
-    return new LinearClassifier<L, F>(objective.to2D(weights), labeledDataset.featureIndex(), labeledDataset.labelIndex());
-  }
-
-
-  /**
-   * Trains the linear classifier using Generalized Expectation criteria as described in
-   * <tt>Generalized Expectation Criteria for Semi Supervised Learning of Conditional Random Fields</tt>, Mann and McCallum, ACL 2008.
-   * The original algorithm is proposed for CRFs but has been adopted to LinearClassifier (which is a simpler, special case of a CRF).
-   * Automatically discovers high precision, high frequency labeled features to be used as GE constraints.
-   * IMPORTANT: the current feature selector assumes the features are binary. The GE constraints assume the constraining features are binary anyway, although
-   * it doesn't make such assumptions about other features.
-   */
-  public LinearClassifier<L,F> trainSemiSupGE(GeneralDataset<L, F> labeledDataset, List<? extends Datum<L, F>> unlabeledDataList) {
-    List<F> GEFeatures = getHighPrecisionFeatures(labeledDataset,0.9,10);
-    return trainSemiSupGE(labeledDataset, unlabeledDataList, GEFeatures,0.5);
-  }
-
-  public LinearClassifier<L,F> trainSemiSupGE(GeneralDataset<L, F> labeledDataset, List<? extends Datum<L, F>> unlabeledDataList, double convexComboCoeff) {
-    List<F> GEFeatures = getHighPrecisionFeatures(labeledDataset,0.9,10);
-    return trainSemiSupGE(labeledDataset, unlabeledDataList, GEFeatures,convexComboCoeff);
-  }
-
-
-  /**
-   * Returns a list of featured thresholded by minPrecision and sorted by their frequency of occurrence.
-   * precision in this case, is defined as the frequency of majority label over total frequency for that feature.
-   * @return list of high precision features.
-   */
-  private List<F> getHighPrecisionFeatures(GeneralDataset<L,F> dataset, double minPrecision, int maxNumFeatures){
-    int[][] feature2label = new int[dataset.numFeatures()][dataset.numClasses()];
-    for(int f = 0; f < dataset.numFeatures(); f++)
-      Arrays.fill(feature2label[f],0);
-
-    int[][] data = dataset.data;
-    int[] labels = dataset.labels;
-    for(int d = 0; d < data.length; d++){
-      int label = labels[d];
-      //System.out.println("datum id:"+d+" label id: "+label);
-      if(data[d] != null){
-        //System.out.println(" number of features:"+data[d].length);
-        for(int n = 0; n < data[d].length; n++){
-          feature2label[data[d][n]][label]++;
-        }
-      }
-    }
-    Counter<F> feature2freq = new ClassicCounter<F>();
-    for(int f = 0; f < dataset.numFeatures(); f++){
-     int maxF = ArrayMath.max(feature2label[f]);
-     int total = ArrayMath.sum(feature2label[f]);
-     double precision = ((double)maxF)/total;
-     F feature = dataset.featureIndex.get(f);
-     if(precision >= minPrecision){
-       feature2freq.incrementCount(feature, total);
-     }
-    }
-    if(feature2freq.size() > maxNumFeatures){
-      Counters.retainTop(feature2freq, maxNumFeatures);
-    }
-    //for(F feature : feature2freq.keySet())
-      //System.out.println(feature+" "+feature2freq.getCount(feature));
-    //System.exit(0);
-    return Counters.toSortedList(feature2freq);
-  }
-
-  /**
-   * Train a classifier with a sigma tuned on a validation set.
-   *
-   * @return The constructed classifier
-   */
-  public LinearClassifier<L, F> trainClassifierV(GeneralDataset<L, F> train, GeneralDataset<L, F> validation, double min, double max, boolean accuracy) {
-    labelIndex = train.labelIndex();
-    featureIndex = train.featureIndex();
-    this.min = min;
-    this.max = max;
-    heldOutSetSigma(train, validation);
-    double[][] weights = trainWeights(train);
-    return new LinearClassifier<L, F>(weights, train.featureIndex(), train.labelIndex());
-  }
-
-  /**
-   * Train a classifier with a sigma tuned on a validation set.
-   * In this case we are fitting on the last 30% of the training data.
-   *
-   * @param train The data to train (and validate) on.
-   * @return The constructed classifier
-   */
-  public LinearClassifier<L, F> trainClassifierV(GeneralDataset<L, F> train, double min, double max, boolean accuracy) {
-    labelIndex = train.labelIndex();
-    featureIndex = train.featureIndex();
-    tuneSigmaHeldOut = true;
-    this.min = min;
-    this.max = max;
-    heldOutSetSigma(train);
-    double[][] weights = trainWeights(train);
-    return new LinearClassifier<L, F>(weights, train.featureIndex(), train.labelIndex());
-  }
-
-
-  public LinearClassifierFactory() {
-    this(new QNMinimizer(15));
-  }
-
-  public LinearClassifierFactory(Minimizer<DiffFunction> min) {
-    this(min, false);
-  }
-
-  public LinearClassifierFactory(boolean useSum) {
-    this(new QNMinimizer(15), useSum);
-  }
-
-  public LinearClassifierFactory(double tol) {
-    this(new QNMinimizer(15), tol, false);
-  }
-  public LinearClassifierFactory(Minimizer<DiffFunction> min, boolean useSum) {
-    this(min, 1e-4, useSum);
-  }
-  public LinearClassifierFactory(Minimizer<DiffFunction> min, double tol, boolean useSum) {
-    this(min, tol, useSum, 1.0);
-  }
-  public LinearClassifierFactory(double tol, boolean useSum, double sigma) {
-    this(new QNMinimizer(15), tol, useSum, sigma);
-  }
-  public LinearClassifierFactory(Minimizer<DiffFunction> min, double tol, boolean useSum, double sigma) {
-    this(min, tol, useSum, LogPrior.LogPriorType.QUADRATIC.ordinal(), sigma);
-  }
-  public LinearClassifierFactory(Minimizer<DiffFunction> min, double tol, boolean useSum, int prior, double sigma) {
-    this(min, tol, useSum, prior, sigma, 0.0);
-  }
-  public LinearClassifierFactory(double tol, boolean useSum, int prior, double sigma, double epsilon) {
-    this(new QNMinimizer(15), tol, useSum, new LogPrior(prior, sigma, epsilon));
-  }
-
-  public LinearClassifierFactory(double tol, boolean useSum, int prior, double sigma, double epsilon, int mem) {
-    this(new QNMinimizer(mem), tol, useSum, new LogPrior(prior, sigma, epsilon));
-  };
-
-  /**
-   * Create a factory that builds linear classifiers from training data.
-   *
-   * @param min     The method to be used for optimization (minimization) (default: {@link QNMinimizer})
-   * @param tol     The convergence threshold for the minimization (default: 1e-4)
-   * @param useSum  Asks to the optimizer to minimize the sum of the
-   *                likelihoods of individual data items rather than their product (default: false)
-   *                NOTE: this is currently ignored!!!
-   * @param prior   What kind of prior to use, as an enum constant from class
-   *                LogPrior
-   * @param sigma   The strength of the prior (smaller is stronger for most
-   *                standard priors) (default: 1.0)
-   * @param epsilon A second parameter to the prior (currently only used
-   *                by the Huber prior)
-   */
-  public LinearClassifierFactory(Minimizer<DiffFunction> min, double tol, boolean useSum, int prior, double sigma, double epsilon) {
-    this(min, tol, useSum, new LogPrior(prior, sigma, epsilon));
-  }
-
-  public LinearClassifierFactory(Minimizer<DiffFunction> min, double tol, boolean useSum, LogPrior logPrior) {
-    this.minimizer = min;
-    this.TOL = tol;
-    //this.useSum = useSum;
-    this.logPrior = logPrior;
-  }
-
-  /**
-   * Set the tolerance.  1e-4 is the default.
-   */
-  public void setTol(double tol) {
-    this.TOL = tol;
-  }
-
-  /**
-   * Set the prior.
-   *
-   * @param logPrior One of the priors defined in
-   *              <code>LogConditionalObjectiveFunction</code>.
-   *              <code>LogPrior.QUADRATIC</code> is the default.
-   */
-  public void setPrior(LogPrior logPrior) {
-    this.logPrior = logPrior;
-  }
-
-  /**
-   * Set the verbose flag for {@link CGMinimizer}.
-   * Only used with conjugate-gradient minimization.
-   * <code>false</code> is the default.
-   */
-
-  public void setVerbose(boolean verbose) {
-    this.verbose = verbose;
-  }
-
-  /**
-   * Sets the minimizer.  {@link QNMinimizer} is the default.
-   */
-  public void setMinimizer(Minimizer<DiffFunction> min) {
-    this.minimizer = min;
-  }
-
-  /**
-   * Sets the epsilon value for {@link LogConditionalObjectiveFunction}.
-   */
-  public void setEpsilon(double eps) {
-    logPrior.setEpsilon(eps);
-  }
-
-  public void setSigma(double sigma) {
-    logPrior.setSigma(sigma);
-  }
-
-  public double getSigma() {
-    return logPrior.getSigma();
-  }
-
-  /**
-   * Sets the minimizer to QuasiNewton. {@link QNMinimizer} is the default.
-   */
-  public void useQuasiNewton() {
-    this.minimizer = new QNMinimizer(mem);
-  }
-
-  public void useQuasiNewton(boolean useRobust) {
-    this.minimizer = new QNMinimizer(mem,useRobust);
-  }
-
-  public void useStochasticQN(double initialSMDGain, int stochasticBatchSize){
-    this.minimizer = new SQNMinimizer<DiffFunction>(mem,initialSMDGain,stochasticBatchSize,false);
-  }
-
-  public void useStochasticMetaDescent(){
-    useStochasticMetaDescent(0.1,15,StochasticCalculateMethods.ExternalFiniteDifference,20);
-  }
-
-  public void useStochasticMetaDescent(double initialSMDGain, int stochasticBatchSize,StochasticCalculateMethods stochasticMethod,int passes) {
-    this.minimizer = new SMDMinimizer<DiffFunction>(initialSMDGain, stochasticBatchSize,stochasticMethod,passes);
-  }
-
-  public void useStochasticGradientDescent(){
-    useStochasticGradientDescent(0.1,15);
-  }
-
-  public void useStochasticGradientDescent(double gainSGD, int stochasticBatchSize){
-    this.minimizer = new SGDMinimizer<DiffFunction>(gainSGD,stochasticBatchSize);
-  }
-  
-  public void useInPlaceStochasticGradientDescent(){
-    useInPlaceStochasticGradientDescent(-1, -1, 1.0);
-  }
-  
-  public void useInPlaceStochasticGradientDescent(int SGDPasses, int tuneSampleSize, double sigma) {
-    this.minimizer = new StochasticInPlaceMinimizer(sigma, SGDPasses, tuneSampleSize);
-  }
-  
-  public void useHybridMinimizerWithInPlaceSGD(int SGDPasses, int tuneSampleSize, double sigma) {
-    Minimizer<DiffFunction> firstMinimizer = new StochasticInPlaceMinimizer(sigma, SGDPasses, tuneSampleSize);
-    Minimizer<DiffFunction> secondMinimizer = new QNMinimizer(mem);
-    this.minimizer = new HybridMinimizer(firstMinimizer, secondMinimizer, SGDPasses);
-  }
-
-  public void useStochasticGradientDescentToQuasiNewton(SeqClassifierFlags p){
-    this.minimizer = new SGDToQNMinimizer(p);
-  }
-
-  public void useHybridMinimizer(){
-    useHybridMinimizer(0.1,15,StochasticCalculateMethods.ExternalFiniteDifference , 0);
-  }
-
-  public void useHybridMinimizer(double initialSMDGain, int stochasticBatchSize,StochasticCalculateMethods stochasticMethod,int cutoffIteration){
-    Minimizer<DiffFunction> firstMinimizer = new SMDMinimizer<DiffFunction>(initialSMDGain, stochasticBatchSize,stochasticMethod,cutoffIteration);
-    Minimizer<DiffFunction> secondMinimizer = new QNMinimizer(mem);
-    this.minimizer = new HybridMinimizer(firstMinimizer,secondMinimizer,cutoffIteration);
-  }
-
-  /**
-   * Set the mem value for {@link QNMinimizer}.
-   * Only used with quasi-newton minimization.  15 is the default.
-   *
-   * @param mem Number of previous function/derivative evaluations to store
-   *            to estimate second derivative.  Storing more previous evaluations
-   *            improves training convergence speed.  This number can be very
-   *            small, if memory conservation is the priority.  For large
-   *            optimization systems (of 100,000-1,000,000 dimensions), setting this
-   *            to 15 produces quite good results, but setting it to 50 can
-   *            decrease the iteration count by about 20% over a value of 15.
-   */
-  public void setMem(int mem) {
-    this.mem = mem;
-  }
-
-  /**
-   * Sets the minimizer to {@link CGMinimizer}, with the passed <code>verbose</code> flag.
-   */
-  public void useConjugateGradientAscent(boolean verbose) {
-    this.verbose = verbose;
-    useConjugateGradientAscent();
-  }
-
-  /**
-   * Sets the minimizer to {@link CGMinimizer}.
-   */
-  public void useConjugateGradientAscent() {
-    this.minimizer = new CGMinimizer(!this.verbose);
-  }
-
-  /**
-   * NOTE: nothing is actually done with this value!
-   *
-   * SetUseSum sets the <code>useSum</code> flag: when turned on,
-   * the Summed Conditional Objective Function is used.  Otherwise, the
-   * LogConditionalObjectiveFunction is used.  The default is false.
-   */
-  public void setUseSum(boolean useSum) {
-    //this.useSum = useSum;
-  }
-
-  /**
-   * setTuneSigmaHeldOut sets the <code>tuneSigmaHeldOut</code> flag: when turned on,
-   * the sigma is tuned by means of held-out (70%-30%). Otherwise no tuning on sigma is done.
-   * The default is false.
-   */
-  public void setTuneSigmaHeldOut() {
-    tuneSigmaHeldOut = true;
-    tuneSigmaCV = false;
-  }
-
-  /**
-   * setTuneSigmaCV sets the <code>tuneSigmaCV</code> flag: when turned on,
-   * the sigma is tuned by cross-validation. The number of folds is the parameter.
-   * If there is less data than the number of folds, leave-one-out is used.
-   * The default is false.
-   */
-  public void setTuneSigmaCV(int folds) {
-    tuneSigmaCV = true;
-    tuneSigmaHeldOut = false;
-    this.folds = folds;
-  }
-
-  /**
-   * NOTE: Nothing is actually done with this value.
-   *
-   * resetWeight sets the <code>restWeight</code> flag. This flag makes sense only if sigma is tuned:
-   * when turned on, the weights outputed by the tuneSigma method will be reset to zero when training the
-   * classifier.
-   * The default is false.
-   */
-  public void resetWeight() {
-    //resetWeight = true;
-  }
-
-  static protected double[] sigmasToTry = {0.5,1.0,2.0,4.0,10.0, 20.0, 100.0};
-
-  /**
-   * Calls the method {@link #crossValidateSetSigma(GeneralDataset, int)} with 5-fold cross-validation.
-   * @param dataset the data set to optimize sigma on.
-   */
-  public void crossValidateSetSigma(GeneralDataset<L, F> dataset) {
-    crossValidateSetSigma(dataset, 5);
-  }
-
-  /**
-   * callls the method {@link #crossValidateSetSigma(GeneralDataset, int, Scorer, LineSearcher)} with
-   * multi-class log-likelihood scoring (see {@link MultiClassAccuracyStats}) and golden-section line search
-   * (see {@link GoldenSectionLineSearch}).
-   * @param dataset the data set to optimize sigma on.
-   */
-  public void crossValidateSetSigma(GeneralDataset<L, F> dataset,int kfold) {
-    System.err.println("##you are here.");
-    crossValidateSetSigma(dataset, kfold, new MultiClassAccuracyStats<L>(MultiClassAccuracyStats.USE_LOGLIKELIHOOD), new GoldenSectionLineSearch(true, 1e-2, min, max));
-  }
-
-  public void crossValidateSetSigma(GeneralDataset<L, F> dataset,int kfold, final Scorer<L> scorer) {
-    crossValidateSetSigma(dataset, kfold, scorer, new GoldenSectionLineSearch(true, 1e-2, min, max));
-  }
-  public void crossValidateSetSigma(GeneralDataset<L, F> dataset,int kfold, LineSearcher minimizer) {
-    crossValidateSetSigma(dataset, kfold, new MultiClassAccuracyStats<L>(MultiClassAccuracyStats.USE_LOGLIKELIHOOD), minimizer);
-  }
-  /**
-   * Sets the sigma parameter to a value that optimizes the cross-validation score given by <code>scorer</code>.  Search for an optimal value
-   * is carried out by <code>minimizer</code>
-   * @param dataset the data set to optimize sigma on.
-   */
-  public void crossValidateSetSigma(GeneralDataset<L, F> dataset,int kfold, final Scorer<L> scorer, LineSearcher minimizer) {
-    System.err.println("##in Cross Validate, folds = " + kfold);
-    System.err.println("##Scorer is " + scorer);
-
-    featureIndex = dataset.featureIndex;
-    labelIndex = dataset.labelIndex;
-
-    final CrossValidator<L, F> crossValidator = new CrossValidator<L, F>(dataset,kfold);
-    final Function<Triple<GeneralDataset<L, F>,GeneralDataset<L, F>,CrossValidator.SavedState>,Double> score =
-      new Function<Triple<GeneralDataset<L, F>,GeneralDataset<L, F>,CrossValidator.SavedState>,Double> ()
-      {
-        public Double apply (Triple<GeneralDataset<L, F>,GeneralDataset<L, F>,CrossValidator.SavedState> fold) {
-          GeneralDataset<L, F> trainSet = fold.first();
-          GeneralDataset<L, F> devSet   = fold.second();
-
-          double[] weights = (double[])fold.third().state;
-          double[][] weights2D;
-
-          weights2D = trainWeights(trainSet, weights,true); // must of course bypass sigma tuning here.
-
-          fold.third().state = ArrayUtils.flatten(weights2D);
-
-          LinearClassifier<L, F> classifier = new LinearClassifier<L, F>(weights2D, trainSet.featureIndex, trainSet.labelIndex);
-
-          double score = scorer.score(classifier, devSet);
-          //System.out.println("score: "+score);
-          System.out.print(".");
-          return score;
-        }
-      };
-
-    Function<Double,Double> negativeScorer =
-      new Function<Double,Double> ()
-      {
-        public Double apply(Double sigmaToTry) {
-          //sigma = sigmaToTry;
-          setSigma(sigmaToTry);
-          Double averageScore = crossValidator.computeAverage(score);
-          System.err.print("##sigma = "+getSigma()+" ");
-          System.err.println("-> average Score: "+averageScore);
-          return -averageScore;
-        }
-      };
-
-    double bestSigma = minimizer.minimize(negativeScorer);
-    System.err.println("##best sigma: " + bestSigma);
-    setSigma(bestSigma);
-  }
-
-  /**
-   * Set the {@link LineSearcher} to be used in {@link #heldOutSetSigma(GeneralDataset, GeneralDataset)}.
-   */
-  public void setHeldOutSearcher(LineSearcher heldOutSearcher) {
-    this.heldOutSearcher = heldOutSearcher;
-  }
-
-  private LineSearcher heldOutSearcher = null;
-  public double[] heldOutSetSigma(GeneralDataset<L, F> train) {
-    Pair<GeneralDataset<L, F>, GeneralDataset<L, F>> data = train.split(0.3);
-    return heldOutSetSigma(data.first(), data.second());
-  }
-
-  public double[] heldOutSetSigma(GeneralDataset<L, F> train, Scorer<L> scorer) {
-    Pair<GeneralDataset<L, F>, GeneralDataset<L, F>> data = train.split(0.3);
-    return heldOutSetSigma(data.first(), data.second(), scorer);
-  }
-
-  public double[] heldOutSetSigma(GeneralDataset<L, F> train, GeneralDataset<L, F> dev) {
-    return heldOutSetSigma(train, dev, new MultiClassAccuracyStats<L>(MultiClassAccuracyStats.USE_LOGLIKELIHOOD), heldOutSearcher == null ? new GoldenSectionLineSearch(true, 1e-2, min, max) : heldOutSearcher);
-  }
-
-  public double[] heldOutSetSigma(GeneralDataset<L, F> train, GeneralDataset<L, F> dev, final Scorer<L> scorer) {
-    return heldOutSetSigma(train, dev, scorer, new GoldenSectionLineSearch(true, 1e-2, min, max));
-  }
-  public double[]  heldOutSetSigma(GeneralDataset<L, F> train, GeneralDataset<L, F> dev, LineSearcher minimizer) {
-    return heldOutSetSigma(train, dev, new MultiClassAccuracyStats<L>(MultiClassAccuracyStats.USE_LOGLIKELIHOOD), minimizer);
-  }
-
-  /**
-   * Sets the sigma parameter to a value that optimizes the held-out score given by <code>scorer</code>.  Search for an optimal value
-   * is carried out by <code>minimizer</code>
-   * dataset the data set to optimize sigma on.
-   * kfold
-   * @return an interim set of optimal weights: the weights
-   */
-  public double[] heldOutSetSigma(final GeneralDataset<L, F> trainSet, final GeneralDataset<L, F> devSet, final Scorer<L> scorer, LineSearcher minimizer) {
-
-    featureIndex = trainSet.featureIndex;
-    labelIndex = trainSet.labelIndex;
-    //double[] resultWeights = null;
-    Timing timer = new Timing();
-
-    NegativeScorer negativeScorer = new NegativeScorer(trainSet,devSet,scorer,timer);
-
-    timer.start();
-    double bestSigma = minimizer.minimize(negativeScorer);
-    System.err.println("##best sigma: " + bestSigma);
-    setSigma(bestSigma);
-
-    return ArrayUtils.flatten(trainWeights(trainSet,negativeScorer.weights,true)); // make sure it's actually the interim weights from best sigma
-  }
-
-  class NegativeScorer implements Function<Double, Double> {
-    public double[] weights = null;
-    GeneralDataset<L, F> trainSet;
-    GeneralDataset<L, F> devSet;
-    Scorer<L> scorer;
-    Timing timer;
-
-    public NegativeScorer(GeneralDataset<L, F> trainSet, GeneralDataset<L, F> devSet, Scorer<L> scorer,Timing timer) {
-      super();
-      this.trainSet = trainSet;
-      this.devSet = devSet;
-      this.scorer = scorer;
-      this.timer = timer;
-    }
-
-    public Double apply(Double sigmaToTry) {
-      double[][] weights2D;
-      setSigma(sigmaToTry);
-
-      weights2D = trainWeights(trainSet, weights,true); //bypass.
-
-      weights = ArrayUtils.flatten(weights2D);
-
-      LinearClassifier<L, F> classifier = new LinearClassifier<L, F>(weights2D, trainSet.featureIndex, trainSet.labelIndex);
-
-      double score = scorer.score(classifier, devSet);
-      //System.out.println("score: "+score);
-      //System.out.print(".");
-      System.err.print("##sigma = "+getSigma()+" ");
-      System.err.println("-> average Score: "+ score);
-      System.err.println("##time elapsed: " + timer.stop() + " milliseconds.");
-      timer.restart();
-      return -score;
-    }
-  }
-
-  /** If set to true, then when training a classifier, after an optimal sigma is chosen a model is relearned from
-   * scratch. If set to false (the default), then the model is updated from wherever it wound up in the sigma-tuning process.
-   * The latter is likely to be faster, but it's not clear which model will wind up better.  */
-  public void setRetrainFromScratchAfterSigmaTuning( boolean retrainFromScratchAfterSigmaTuning) {
-    this.retrainFromScratchAfterSigmaTuning = retrainFromScratchAfterSigmaTuning;
-  }
-
-
-  public Classifier<L, F> trainClassifier(Iterable<Datum<L, F>> dataIterable) {
-    Index<F> featureIndex = Generics.newIndex();
-    Index<L> labelIndex = Generics.newIndex();
-    for(Datum<L, F> d : dataIterable) {
-      labelIndex.add(d.label());
-      featureIndex.addAll(d.asFeatures());//If there are duplicates, it doesn't add them again.
-    }
-    System.err.println(String.format("Training linear classifier with %d features and %d labels", featureIndex.size(), labelIndex.size()));
-
-    LogConditionalObjectiveFunction<L, F> objective = new LogConditionalObjectiveFunction<L, F>(dataIterable, logPrior, featureIndex, labelIndex);
-    objective.setPrior(new LogPrior(LogPrior.LogPriorType.QUADRATIC));
-
-    double[] initial = objective.initial();
-    double[] weights = minimizer.minimize(objective, TOL, initial);
-
-    LinearClassifier<L, F> classifier = new LinearClassifier<L, F>(objective.to2D(weights), featureIndex, labelIndex);
-    return
-      classifier;
-
-  }
-
-  public Classifier<L, F> trainClassifier(GeneralDataset<L, F> dataset, float[] dataWeights, LogPrior prior) {
-    if(dataset instanceof RVFDataset)
-      ((RVFDataset<L,F>)dataset).ensureRealValues();
-    LogConditionalObjectiveFunction<L, F> objective = new LogConditionalObjectiveFunction<L, F>(dataset, dataWeights, logPrior);
-
-    double[] initial = objective.initial();
-    double[] weights = minimizer.minimize(objective, TOL, initial);
-
-    LinearClassifier<L, F> classifier = new LinearClassifier<L, F>(objective.to2D(weights), dataset.featureIndex(), dataset.labelIndex());
-    return classifier;
-  }
-
-
-  @Override
-  public LinearClassifier<L, F> trainClassifier(GeneralDataset<L, F> dataset) {
-    return trainClassifier(dataset, null);
-  }
-  public LinearClassifier<L, F> trainClassifier(GeneralDataset<L, F> dataset, double[] initial) {
-    if(dataset instanceof RVFDataset)
-      ((RVFDataset<L,F>)dataset).ensureRealValues();
-    double[][] weights =  trainWeights(dataset, initial, false);
-    LinearClassifier<L, F> classifier = new LinearClassifier<L, F>(weights, dataset.featureIndex(), dataset.labelIndex());
-    return classifier;
-  }
-
-  /**
-   * Given the path to a file representing the text based serialization of a
-   * Linear Classifier, reconstitutes and returns that LinearClassifier.
-   *
-   * TODO: Leverage Index
-   */
-  public Classifier<String, String> loadFromFilename(String file) {
-    try {
-      File tgtFile = new File(file);
-      BufferedReader in = new BufferedReader(new FileReader(tgtFile));
-
-      // Format: read indicies first, weights, then thresholds
-      Index<String> labelIndex = HashIndex.loadFromReader(in);
-      Index<String> featureIndex = HashIndex.loadFromReader(in);
-      double[][] weights = new double[featureIndex.size()][labelIndex.size()];
-      String line = in.readLine();
-      int currLine = 1;
-      while (line != null && line.length()>0) {
-        String[] tuples = line.split(LinearClassifier.TEXT_SERIALIZATION_DELIMITER);
-        if (tuples.length != 3) {
-            throw new Exception("Error: incorrect number of tokens in weight specifier, line="
-            +currLine+" in file "+tgtFile.getAbsolutePath());
-        }
-        currLine++;
-        int feature = Integer.valueOf(tuples[0]);
-        int label = Integer.valueOf(tuples[1]);
-        double value = Double.valueOf(tuples[2]);
-        weights[feature][label] = value;
-        line = in.readLine();
-      }
-
-      // First line in thresholds is the number of thresholds
-      int numThresholds = Integer.valueOf(in.readLine());
-      double[] thresholds = new double[numThresholds];
-      int curr = 0;
-      while ((line = in.readLine()) != null) {
-        double tval = Double.valueOf(line.trim());
-        thresholds[curr++] = tval;
-      }
-      in.close();
-      LinearClassifier<String, String> classifier = new LinearClassifier<String, String>(weights, featureIndex, labelIndex);
-      return classifier;
-    } catch (Exception e) {
-      System.err.println("Error in LinearClassifierFactory, loading from file="+file);
-      e.printStackTrace();
-      return null;
-    }
-  }
-
-  @Deprecated
-  public LinearClassifier<L, F> trainClassifier(List<RVFDatum<L, F>> examples) {
-    // TODO Auto-generated method stub
-    return null;
-  }
-
-  public boolean setEvaluators(int iters, Evaluator[] evaluators)
-  {
-    if (minimizer instanceof HasEvaluators) {
-      ((HasEvaluators) minimizer).setEvaluators(iters, evaluators);
-      return true;
-    } else {
-      return false;
-    }
-  }
-
-  public LinearClassifierCreator<L,F> getClassifierCreator(GeneralDataset<L, F> dataset) {
-//    LogConditionalObjectiveFunction<L, F> objective = new LogConditionalObjectiveFunction<L, F>(dataset, logPrior);
-    return new LinearClassifierCreator<L,F>(dataset.featureIndex, dataset.labelIndex);
-  }
-
-  public static class LinearClassifierCreator<L,F> implements ClassifierCreator, ProbabilisticClassifierCreator
-  {
-    LogConditionalObjectiveFunction objective;
-    Index<F> featureIndex;
-    Index<L> labelIndex;
-
-    public LinearClassifierCreator(LogConditionalObjectiveFunction objective, Index<F> featureIndex, Index<L> labelIndex)
-    {
-      this.objective = objective;
-      this.featureIndex = featureIndex;
-      this.labelIndex = labelIndex;
-    }
-
-    public LinearClassifierCreator(Index<F> featureIndex, Index<L> labelIndex)
-    {
-      this.featureIndex = featureIndex;
-      this.labelIndex = labelIndex;
-    }
-
-    public LinearClassifier createLinearClassifier(double[] weights) {
-      double[][] weights2D;
-      if (objective != null) {
-        weights2D = objective.to2D(weights);
-      } else {
-        weights2D = ArrayUtils.to2D(weights, featureIndex.size(), labelIndex.size());
-      }
-      return new LinearClassifier<L, F>(weights2D, featureIndex, labelIndex);
-    }
-
-    public Classifier createClassifier(double[] weights) {
-      return createLinearClassifier(weights);
-    }
-
-    public ProbabilisticClassifier createProbabilisticClassifier(double[] weights) {
-      return createLinearClassifier(weights);
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/LogConditionalObjectiveFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/LogConditionalObjectiveFunction.java
deleted file mode 100644
index e6a6c62..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/LogConditionalObjectiveFunction.java
+++ /dev/null
@@ -1,899 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import java.util.Arrays;
-import java.util.Collection;
-import java.util.Iterator;
-
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.math.ADMath;
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.math.DoubleAD;
-import edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction;
-import edu.stanford.nlp.optimization.StochasticCalculateMethods;
-import edu.stanford.nlp.util.Index;
-
-
-/**
- * Maximizes the conditional likelihood with a given prior.
- *
- * @author Dan Klein
- * @author Galen Andrew
- * @author Chris Cox (merged w/ SumConditionalObjectiveFunction, 2/16/05)
- * @author Sarah Spikes (Templatization, allowing an Iterable<Datum<L, F>> to be passed in instead of a GeneralDataset<L, F>)
- * @author Angel Chang (support in place SGD - extend AbstractStochasticCachingDiffUpdateFunction)
- */
-
-public class LogConditionalObjectiveFunction<L, F> extends AbstractStochasticCachingDiffUpdateFunction {
-
-  public void setPrior(LogPrior prior) {
-    this.prior = prior;
-    clearCache();
-  }
-
-  protected LogPrior prior;
-
-  protected int numFeatures = 0;
-  protected int numClasses = 0;
-
-  protected int[][] data = null;
-  protected Iterable<Datum<L, F>> dataIterable = null;
-  protected double[][] values = null;
-  protected int[] labels = null;
-  protected float[] dataweights = null;
-  protected double[] derivativeNumerator = null;
-
-  protected DoubleAD[] xAD = null;
-  protected double [] priorDerivative = null; //The only reason this is around is because the Prior Functions don't handle stochastic calculations yet.
-  protected DoubleAD[] derivativeAD = null;
-  protected DoubleAD[] sums = null;
-  protected DoubleAD[] probs = null;
-
-  protected Index<L> labelIndex = null;
-  protected Index<F> featureIndex = null;
-  protected boolean useIterable = false;
-
-  protected boolean useSummedConditionalLikelihood = false; //whether to use sumConditional or logConditional
-
-  @Override
-  public int domainDimension() {
-    return numFeatures * numClasses;
-  }
-
-  @Override
-  public int dataDimension(){
-    return data.length;
-  }
-
-  int classOf(int index) {
-    return index % numClasses;
-  }
-
-  int featureOf(int index) {
-    return index / numClasses;
-  }
-
-  protected int indexOf(int f, int c) {
-    return f * numClasses + c;
-  }
-
-  public double[][] to2D(double[] x) {
-    double[][] x2 = new double[numFeatures][numClasses];
-    for (int i = 0; i < numFeatures; i++) {
-      for (int j = 0; j < numClasses; j++) {
-        x2[i][j] = x[indexOf(i, j)];
-      }
-    }
-    return x2;
-  }
-
-  /**
-   * Calculate the conditional likelihood.
-   * If <code>useSummedConditionalLikelihood</code> is <code>false</code> (the default),
-   * this calculates standard(product) CL, otherwise this calculates summed CL.
-   * What's the difference?  See Klein and Manning's 2002 EMNLP paper.
-   */
-  @Override
-  protected void calculate(double[] x) {
-    //If the batchSize is 0 then use the regular calculate methods
-    if (useSummedConditionalLikelihood) {
-      calculateSCL(x);
-    } else {
-      calculateCL(x);
-    }
-
-  }
-
-
-
-  /*
-   *  This function is used to comme up with an estimate of the value / gradient based on only a small
-   * portion of the data (refered to as the batchSize for lack of a better term.  In this case batch does
-   * not mean All!!  It should be thought of in the sense of "a small batch of the data".
-   */
-
-
-  @Override
-  public void calculateStochastic(double[] x, double[] v, int[] batch){
-
-    if(method.calculatesHessianVectorProduct() && v != null){
-      //  This is used for Stochastic Methods that involve second order information (SMD for example)
-      if(method.equals(StochasticCalculateMethods.AlgorithmicDifferentiation)){
-        calculateStochasticAlgorithmicDifferentiation(x,v,batch);
-      }else if(method.equals(StochasticCalculateMethods.IncorporatedFiniteDifference)){
-        calculateStochasticFiniteDifference(x,v,finiteDifferenceStepSize,batch);
-      }
-    } else{
-      //This is used for Stochastic Methods that don't need anything but the gradient (SGD)
-      calculateStochasticGradientOnly(x,batch);
-    }
-
-  }
-
-
-
-
-  /**
-   * Calculate the summed conditional likelihood of this data by summing
-   * conditional estimates.
-   *
-   */
-  private void calculateSCL(double[] x) {
-    //System.out.println("Checking at: "+x[0]+" "+x[1]+" "+x[2]);
-    value = 0.0;
-    Arrays.fill(derivative, 0.0);
-    double[] sums = new double[numClasses];
-    double[] probs = new double[numClasses];
-    double[] counts = new double[numClasses];
-    Arrays.fill(counts, 0.0);
-    for (int d = 0; d < data.length; d++) {
-      //       if (d == testMin) {
-      //         d = testMax - 1;
-      //         continue;
-      //       }
-      int[] features = data[d];
-      // activation
-      Arrays.fill(sums, 0.0);
-      for (int c = 0; c < numClasses; c++) {
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          sums[c] += x[i];
-        }
-      }
-      // expectation (slower routine replaced by fast way)
-      // double total = Double.NEGATIVE_INFINITY;
-      // for (int c=0; c<numClasses; c++) {
-      //   total = SloppyMath.logAdd(total, sums[c]);
-      // }
-      double total = ArrayMath.logSum(sums);
-      int ld = labels[d];
-      for (int c = 0; c < numClasses; c++) {
-        probs[c] = Math.exp(sums[c] - total);
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          derivative[i] += probs[ld] * probs[c];
-        }
-      }
-      // observed
-      for (int f = 0; f < features.length; f++) {
-        int i = indexOf(features[f], labels[d]);
-        derivative[i] -= probs[ld];
-      }
-      value -= probs[ld];
-    }
-    // priors
-    if (true) {
-      for (int i = 0; i < x.length; i++) {
-        double k = 1.0;
-        double w = x[i];
-        value += k * w * w / 2.0;
-        derivative[i] += k * w;
-      }
-    }
-  }
-
-  /**
-   * Calculate the conditional likelihood of this data by multiplying
-   * conditional estimates.
-   *
-   */
-  private void calculateCL(double[] x) {
-    if (values != null) {
-      rvfcalculate(x);
-      return;
-    }
-    //System.out.println("Checking at: "+x[0]+" "+x[1]+" "+x[2]);
-    value = 0.0;
-    if (derivative == null) {
-      derivative = new double[x.length];
-    } else {
-      Arrays.fill(derivative, 0.0);
-    }
-
-    if (derivativeNumerator == null) {
-      derivativeNumerator = new double[x.length];
-      //use dataIterable if data is null & vice versa
-      if(data != null) {
-        for (int d = 0; d < data.length; d++) {
-          //         if (d == testMin) {
-          //           d = testMax - 1;
-          //           continue;
-          //         }
-          int[] features = data[d];
-          for (int f = 0; f < features.length; f++) {
-            int i = indexOf(features[f], labels[d]);
-            if (dataweights == null) {
-              derivativeNumerator[i] -= 1;
-            } else {
-              derivativeNumerator[i] -= dataweights[d];
-            }
-          }
-        }
-      }
-      //TODO: Make sure this work as expected!!
-      else if(dataIterable != null) {
-        //int index = 0;
-        for (Datum<L, F> datum : dataIterable) {
-          //         if (d == testMin) {
-          //           d = testMax - 1;
-          //           continue;
-          //         }
-          Collection<F> features = datum.asFeatures();
-          for (F feature : features) {
-            int i = indexOf(featureIndex.indexOf(feature), labelIndex.indexOf(datum.label()));
-            if (dataweights == null) {
-              derivativeNumerator[i] -= 1;
-            } /*else {
-              derivativeNumerator[i] -= dataweights[index];
-            }*/
-          }
-        }
-      }
-      else {
-        System.err.println("Both were null!  Couldn't calculate.");
-        System.exit(-1);
-      }
-    }
-    copy(derivative, derivativeNumerator);
-    //    Arrays.fill(derivative, 0.0);
-    double[] sums = new double[numClasses];
-    double[] probs = new double[numClasses];
-    //    double[] counts = new double[numClasses];
-    //    Arrays.fill(counts, 0.0);
-    
-    Iterator<Datum<L, F>> iter = null;
-    int d = -1;
-    if(useIterable)
-      iter = dataIterable.iterator();
-    Datum<L, F> datum = null;
-    while(true){
-      if(useIterable) {
-        if(!iter.hasNext()) break;
-        datum = iter.next();
-      } else {
-        d++;
-        if(d >= data.length) break;
-      }
-
-      //       if (d == testMin) {
-      //         d = testMax - 1;
-      //         continue;
-      //       }
-
-      // activation
-      Arrays.fill(sums, 0.0);
-      double total = 0;
-      if(!useIterable) {
-        int[] featuresArr = data[d];
-
-        for (int c = 0; c < numClasses; c++) {
-          for (int f = 0; f < featuresArr.length; f++) {
-            int i = indexOf(featuresArr[f], c);
-            sums[c] += x[i];
-          }
-        }
-        // expectation (slower routine replaced by fast way)
-        // double total = Double.NEGATIVE_INFINITY;
-        // for (int c=0; c<numClasses; c++) {
-        //   total = SloppyMath.logAdd(total, sums[c]);
-        // }
-        total = ArrayMath.logSum(sums);
-        for (int c = 0; c < numClasses; c++) {
-          probs[c] = Math.exp(sums[c] - total);
-          if (dataweights != null) {
-            probs[c] *= dataweights[d];
-          }
-          for (int f = 0; f < featuresArr.length; f++) {
-            int i = indexOf(featuresArr[f], c);
-            derivative[i] += probs[c];
-          }
-        }
-      } else {
-        Collection<F> features = datum.asFeatures();
-        for (int c = 0; c < numClasses; c++) {
-          for (F feature : features) {
-            int i = indexOf(featureIndex.indexOf(feature), c);
-            sums[c] += x[i];
-          }
-        }
-        // expectation (slower routine replaced by fast way)
-        // double total = Double.NEGATIVE_INFINITY;
-        // for (int c=0; c<numClasses; c++) {
-        //   total = SloppyMath.logAdd(total, sums[c]);
-        // }
-        total = ArrayMath.logSum(sums);
-        for (int c = 0; c < numClasses; c++) {
-          probs[c] = Math.exp(sums[c] - total);
-          if (dataweights != null) {
-            probs[c] *= dataweights[d];
-          }
-          for (F feature : features) {
-            int i = indexOf(featureIndex.indexOf(feature), c);
-            derivative[i] += probs[c];
-          }
-        }
-      }
-
-      int labelindex;
-      if(useIterable)
-        labelindex = labelIndex.indexOf(datum.label());
-      else 
-        labelindex = labels[d];
-      double dV = sums[labelindex] - total;
-      if (dataweights != null) {
-        dV *= dataweights[d];
-      }
-      value -= dV;
-      
-    }
-    value += prior.compute(x, derivative);
-  }
-
-
-
-  public void calculateStochasticFiniteDifference(double[] x,double[] v, double h, int[] batch){
-    //  THOUGHTS:
-    //  does applying the renormalization (g(x+hv)-g(x)) / h at each step along the way
-    //  introduce too much error to makes this method numerically accurate?
-    //  akleeman Feb 23 2007
-
-    //  Answer to my own question:     Feb 25th
-    //      Doesn't look like it!!  With h = 1e-4 it seems like the Finite Difference makes almost
-    //     exactly the same step as the exact hessian vector product calculated through AD.
-    //     That said it's probably (in the case of the Log Conditional Objective function) logical
-    //     to only use finite difference.  Unless of course the function is somehow nearly singular,
-    //     in which case finite difference could turn what is a convex problem into a singular proble... NOT GOOD.
-
-    if (values != null) {
-      rvfcalculate(x);
-      return;
-    }
-
-    value = 0.0;
-
-    if (priorDerivative == null) {
-      priorDerivative = new double[x.length];
-    }
-
-    double priorFactor = batch.length/(data.length*prior.getSigma()*prior.getSigma());
-
-    derivative = ArrayMath.multiply(x,priorFactor);
-    HdotV = ArrayMath.multiply(v,priorFactor);
-
-    //Arrays.fill(derivative, 0.0);
-    double[] sums = new double[numClasses];
-    double[] sumsV = new double[numClasses];
-    double[] probs = new double[numClasses];
-    double[] probsV = new double[numClasses];
-
-    for (int d = 0; d <batch.length; d++) {
-
-      //Sets the index based on the current batch
-      int m = batch[d];
-
-
-      int[] features = data[m];
-      // activation
-
-
-      Arrays.fill(sums, 0.0);
-      Arrays.fill(sumsV,0.0);
-
-      for (int c = 0; c < numClasses; c++) {
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          sums[c] += x[i];
-          sumsV[c] += x[i] + h*v[i];
-        }
-      }
-
-
-
-      double total = ArrayMath.logSum(sums);
-      double totalV = ArrayMath.logSum(sumsV);
-
-      for (int c = 0; c < numClasses; c++) {
-        probs[c] = Math.exp(sums[c] - total);
-        probsV[c] = Math.exp(sumsV[c]- totalV);
-
-        if (dataweights != null) {
-          probs[c] *= dataweights[m];
-          probsV[c] *= dataweights[m];
-        }
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          //derivative[i] += (-1);
-          derivative[i] += probs[c];
-          HdotV[i] += (probsV[c] - probs[c])/h;
-          if( c == labels[m]) {derivative[i] -= 1;}
-
-        }
-      }
-
-      double dV = sums[labels[m]] - total;
-      if (dataweights != null) {
-        dV *= dataweights[m];
-      }
-      value -= dV;
-    }
-
-    //Why was this being copied?  -akleeman
-    //double[] tmpDeriv = new double[derivative.length];
-    //System.arraycopy(derivative,0,tmpDeriv,0,derivative.length);
-    value += ((double) batch.length)/((double) data.length)*prior.compute(x,priorDerivative);
-  }
-
-
-
-
-  public void calculateStochasticGradientOnly(double[] x, int[] batch) {
-    if (values != null) {
-      rvfcalculate(x);
-      return;
-    }
-
-    value = 0.0;
-
-    int batchSize = batch.length;
-
-    if (priorDerivative == null) {
-      priorDerivative = new double[x.length];
-    }
-
-    double priorFactor = batchSize/(data.length*prior.getSigma()*prior.getSigma());
-
-    derivative = ArrayMath.multiply(x,priorFactor);
-
-    //Arrays.fill(derivative, 0.0);
-    double[] sums = new double[numClasses];
-    //double[] sumsV = new double[numClasses];
-    double[] probs = new double[numClasses];
-    //double[] probsV = new double[numClasses];
-
-    for (int d = 0; d <batchSize; d++) {
-
-      //Sets the index based on the current batch
-      int m = batch[d];
-
-      int[] features = data[m];
-      // activation
-
-      Arrays.fill(sums, 0.0);
-      //Arrays.fill(sumsV,0.0);
-
-      for (int c = 0; c < numClasses; c++) {
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          sums[c] += x[i];
-        }
-      }
-
-      double total = ArrayMath.logSum(sums);
-      //double totalV = ArrayMath.logSum(sumsV);
-
-      for (int c = 0; c < numClasses; c++) {
-        probs[c] = Math.exp(sums[c] - total);
-        //probsV[c] = Math.exp(sumsV[c]- totalV);
-
-        if (dataweights != null) {
-          probs[c] *= dataweights[m];
-          //probsV[c] *= dataweights[m];
-        }
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          //derivative[i] += (-1);
-          derivative[i] += probs[c];
-          if( c == labels[m]) {derivative[i] -= 1;}
-
-        }
-      }
-
-      double dV = sums[labels[m]] - total;
-      if (dataweights != null) {
-        dV *= dataweights[m];
-      }
-      value -= dV;
-    }
-
-
-    value += ((double) batchSize)/((double) data.length)*prior.compute(x,priorDerivative);
-
-
-
-  }
-
-  public double valueAt(double[] x, double xscale, int[] batch) {
-    value = 0.0;
-    int batchSize = batch.length;
-    double[] sums = new double[numClasses];
-
-    for (int d = 0; d <batchSize; d++) {
-      //Sets the index based on the current batch
-      int m = batch[d];
-      int[] features = data[m];
-      Arrays.fill(sums, 0.0);
-
-      for (int c = 0; c < numClasses; c++) {
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          if (values != null) {
-             sums[c] += x[i]*xscale*values[m][f];
-          } else {
-             sums[c] += x[i]*xscale;
-          }
-        }
-      }
-
-      double total = ArrayMath.logSum(sums);
-      double dV = sums[labels[m]] - total;
-      if (dataweights != null) {
-        dV *= dataweights[m];
-      }
-      value -= dV;
-    }
-    return value;
-  }
-  
-  public double calculateStochasticUpdate(double[] x, double xscale, int[] batch, double gain) {
-    value = 0.0;
-
-    int batchSize = batch.length;
-
-    double[] sums = new double[numClasses];
-    double[] probs = new double[numClasses];
-
-    for (int d = 0; d <batchSize; d++) {
-
-      //Sets the index based on the current batch
-      int m = batch[d];
-
-      int[] features = data[m];
-      // activation
-
-      Arrays.fill(sums, 0.0);
-
-      for (int c = 0; c < numClasses; c++) {
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          if (values != null) {
-             sums[c] += x[i]*xscale*values[m][f];
-          } else {
-             sums[c] += x[i]*xscale;
-          }
-        }
-      }
-
-      for (int f = 0; f < features.length; f++) {
-        int i = indexOf(features[f], labels[m]);
-        double v = (values != null)? values[m][f]:1;
-        double delta = (dataweights != null)? dataweights[m]*v:v;
-        x[i] += delta*gain;
-      }
-
-      double total = ArrayMath.logSum(sums);
-
-      for (int c = 0; c < numClasses; c++) {
-        probs[c] = Math.exp(sums[c] - total);
-
-        if (dataweights != null) {
-          probs[c] *= dataweights[m];
-        }
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          double v = (values != null)? values[m][f]:1;
-          double delta = probs[c]*v;
-          x[i] -= delta*gain;
-        }
-      }
-
-      double dV = sums[labels[m]] - total;
-      if (dataweights != null) {
-        dV *= dataweights[m];
-      }
-      value -= dV;
-    }
-    return value;
-  }
-
-  protected void calculateStochasticAlgorithmicDifferentiation(double[] x, double[] v, int[] batch) {
-
-    System.err.print("*");
-
-    //Initialize
-    value = 0.0;
-
-    if(derivativeAD == null){
-      //initialize any variables
-      derivativeAD = new DoubleAD[x.length];
-
-      for (int i = 0; i < x.length;i++){
-        derivativeAD[i] = new DoubleAD(0.0,0.0);
-      }
-    }
-
-
-    if(xAD == null){
-      xAD = new DoubleAD[x.length];
-
-      for (int i = 0; i < x.length;i++){
-        xAD[i] = new DoubleAD(x[i],v[i]);
-      }
-    }
-    // Initialize the sums
-    if(sums == null){
-      sums = new DoubleAD[numClasses];
-
-      for (int c = 0; c<numClasses;c++){
-        sums[c] = new DoubleAD(0,0);
-      }
-    }
-
-    if(probs == null) {
-      probs = new DoubleAD[numClasses];
-
-      for (int c = 0; c<numClasses;c++){
-        probs[c] = new DoubleAD(0,0);
-      }
-    }
-
-    //long curTime = System.currentTimeMillis();
-    // Copy the Derivative numerator, and set up the vector V to be used for Hess*V
-    for (int i = 0; i < x.length;i++){
-      xAD[i].set(x[i],v[i]);
-      derivativeAD[i].set(0.0,0.0);
-    }
-
-    //System.err.print(System.currentTimeMillis() - curTime + " - ");
-    //curTime = System.currentTimeMillis();
-
-    for (int d = 0; d <batch.length ; d++) {
-
-      //Sets the index based on the current batch
-      int m = (curElement + d) % data.length;
-
-      int[] features = data[m];
-
-      for (int c = 0; c<numClasses;c++){
-        sums[c].set(0.0,0.0);
-      }
-
-
-      for (int c = 0; c < numClasses; c++) {
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          sums[c] = ADMath.plus(sums[c],xAD[i]);
-        }
-      }
-
-      DoubleAD total = ADMath.logSum(sums);
-
-      for (int c = 0; c < numClasses; c++) {
-        probs[c] = ADMath.exp( ADMath.minus(sums[c], total) );
-        if (dataweights != null) {
-          probs[c] = ADMath.multConst(probs[c], dataweights[d]);
-        }
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          if (c == labels[m]){derivativeAD[i].plusEqualsConst(-1.0);}
-          derivativeAD[i].plusEquals(probs[c]);
-        }
-      }
-
-      double dV = sums[labels[m]].getval() - total.getval();
-      if (dataweights != null) {
-        dV *= dataweights[d];
-      }
-      value -= dV;
-    }
-
-    // !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-    // DANGEROUS!!!!!!! Divide by Zero possible!!!!!!!!!!
-    // !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-    // Need to modify the prior class to handle AD  -akleeman
-
-    //System.err.print(System.currentTimeMillis() - curTime + " - ");
-    //curTime = System.currentTimeMillis();
-
-    double[] tmp = new double[x.length];
-    for(int i = 0; i < x.length; i++){
-      tmp[i] = derivativeAD[i].getval();
-      derivativeAD[i].plusEquals(ADMath.multConst(xAD[i], batch.length/(data.length * prior.getSigma()*prior.getSigma())));
-      derivative[i] = derivativeAD[i].getval();
-      HdotV[i] = derivativeAD[i].getdot();
-    }
-    value += ((double) batch.length)/((double) data.length)*prior.compute(x, tmp);
-
-    //System.err.print(System.currentTimeMillis() - curTime + " - ");
-    //System.err.println("");
-
-
-  }
-
-  /**
-   * Calculate conditional likelihood for datasets with real-valued features.
-   * Currently this can calculate CL only (no support for SCL).
-   * TODO: sum-conditional obj. fun. with RVFs.
-   *
-   */
-  protected void rvfcalculate(double[] x) {
-    value = 0.0;
-    if (derivativeNumerator == null) {
-      derivativeNumerator = new double[x.length];
-      for (int d = 0; d < data.length; d++) {
-        //         if (d == testMin) {
-        //           d = testMax - 1;
-        //           continue;
-        //         }
-        int[] features = data[d];
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], labels[d]);
-          if (dataweights == null) {
-            derivativeNumerator[i] -= values[d][f];
-          } else {
-            derivativeNumerator[i] -= dataweights[d]*values[d][f];
-          }
-        }
-      }
-    }
-    copy(derivative, derivativeNumerator);
-    //    Arrays.fill(derivative, 0.0);
-    double[] sums = new double[numClasses];
-    double[] probs = new double[numClasses];
-    //    double[] counts = new double[numClasses];
-    //    Arrays.fill(counts, 0.0);
-    for (int d = 0; d < data.length; d++) {
-      //       if (d == testMin) {
-      //         d = testMax - 1;
-      //         continue;
-      //       }
-      int[] features = data[d];
-      // activation
-      Arrays.fill(sums, 0.0);
-
-      for (int c = 0; c < numClasses; c++) {
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          sums[c] += x[i] * values[d][f];
-        }
-      }
-      // expectation (slower routine replaced by fast way)
-      // double total = Double.NEGATIVE_INFINITY;
-      // for (int c=0; c<numClasses; c++) {
-      //   total = SloppyMath.logAdd(total, sums[c]);
-      // }
-      double total = ArrayMath.logSum(sums);
-      for (int c = 0; c < numClasses; c++) {
-        probs[c] = Math.exp(sums[c] - total);
-        if (dataweights != null) {
-          probs[c] *= dataweights[d];
-        }
-        for (int f = 0; f < features.length; f++) {
-          int i = indexOf(features[f], c);
-          derivative[i] += probs[c] * values[d][f];
-        }
-      }
-
-      double dV = sums[labels[d]] - total;
-      if (dataweights != null) {
-        dV *= dataweights[d];
-      }
-      value -= dV;
-    }
-    value += prior.compute(x, derivative);
-  }
-
-  //   public void setTestMinMax(int testMin, int testMax) {
-  //     this.testMin = testMin;
-  //     this.testMax = testMax;
-  //   }
-
-  public void setUseSumCondObjFun(boolean value) {
-    this.useSummedConditionalLikelihood = value;
-  }
-
-  public LogConditionalObjectiveFunction(GeneralDataset<L, F> dataset) {
-    this(dataset, new LogPrior(LogPrior.LogPriorType.QUADRATIC));
-  }
-
-  public LogConditionalObjectiveFunction(GeneralDataset<L, F> dataset, LogPrior prior) {
-    this(dataset, prior, false);
-  }
-
-  public LogConditionalObjectiveFunction(GeneralDataset<L, F> dataset, float[] dataWeights, LogPrior prior) {
-    this(dataset, prior, false);
-    this.dataweights = dataWeights;
-    System.err.println("correct constructor");
-  }
-
-  public LogConditionalObjectiveFunction(GeneralDataset<L, F> dataset, LogPrior prior, boolean useSumCondObjFun) {
-    setPrior(prior);
-    setUseSumCondObjFun(useSumCondObjFun);
-    this.numFeatures = dataset.numFeatures();
-    this.numClasses = dataset.numClasses();
-    this.data = dataset.getDataArray();
-    this.labels = dataset.getLabelsArray();
-    this.values = dataset.getValuesArray();
-    if (dataset instanceof WeightedDataset<?,?>) {
-      this.dataweights = ((WeightedDataset<L, F>)dataset).getWeights();
-    }
-  }
-  
-  //TODO: test this
-  public LogConditionalObjectiveFunction(Iterable<Datum<L, F>> dataIterable, LogPrior logPrior, Index<F> featureIndex, Index<L> labelIndex) {
-    setPrior(prior);
-    setUseSumCondObjFun(false);
-    this.useIterable = true; 
-    this.numFeatures = featureIndex.size();
-    this.numClasses = labelIndex.size();
-    this.data = null;
-    this.dataIterable = dataIterable;
-    
-    this.labelIndex = labelIndex;
-    this.featureIndex = featureIndex;
-    this.labels = null;//dataset.getLabelsArray();
-    this.values = null;//dataset.getValuesArray();
-    //this.dataweights //leave it null?
-  }
-
-  public LogConditionalObjectiveFunction(int numFeatures, int numClasses, int[][] data, int[] labels, boolean useSumCondObjFun) {
-    this(numFeatures, numClasses, data, labels);
-    this.useSummedConditionalLikelihood = useSumCondObjFun;
-  }
-
-  public LogConditionalObjectiveFunction(int numFeatures, int numClasses, int[][] data, int[] labels) {
-    this(numFeatures, numClasses, data, labels, new LogPrior(LogPrior.LogPriorType.QUADRATIC));
-  }
-
-  public LogConditionalObjectiveFunction(int numFeatures, int numClasses, int[][] data, int[] labels, LogPrior prior) {
-    this(numFeatures, numClasses, data, labels, null, prior);
-  }
-
-  public LogConditionalObjectiveFunction(int numFeatures, int numClasses, int[][] data, int[] labels, float[] dataweights) {
-    this(numFeatures, numClasses, data, labels, dataweights, new LogPrior(LogPrior.LogPriorType.QUADRATIC));
-  }
-
-  public LogConditionalObjectiveFunction(int numFeatures, int numClasses, int[][] data, int[] labels, float[] dataweights, LogPrior prior) {
-    this.numFeatures = numFeatures;
-    this.numClasses = numClasses;
-    this.data = data;
-    this.labels = labels;
-    this.prior = prior;
-    this.dataweights = dataweights;
-    //     this.testMin = data.length;
-    //     this.testMax = data.length;
-  }
-
-  public LogConditionalObjectiveFunction(int numFeatures, int numClasses, int[][] data, int[] labels, int intPrior, double sigma, double epsilon) {
-    this(numFeatures, numClasses, data, null, labels, intPrior, sigma, epsilon);
-  }
-
-  public LogConditionalObjectiveFunction(int numFeatures, int numClasses, int[][] data, double[][] values, int[] labels, int intPrior, double sigma, double epsilon) {
-    this.numFeatures = numFeatures;
-    this.numClasses = numClasses;
-    this.data = data;
-    this.values = values;
-    this.labels = labels;
-    this.prior = new LogPrior(intPrior, sigma, epsilon);
-    //     this.testMin = data.length;
-    //     this.testMax = data.length;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/LogPrior.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/LogPrior.java
deleted file mode 100644
index 19257c1..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/LogPrior.java
+++ /dev/null
@@ -1,334 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.util.ArrayUtils;
-
-import java.io.Serializable;
-
-
-/**
- * A Prior for functions.  Immutable.
- *
- * @author Galen Andrew
- */
-public class LogPrior  implements Serializable {
-  
-  /**
-   * 
-   */
-  private static final long serialVersionUID = 7826853908892790965L;
-
-  public enum LogPriorType { NULL, QUADRATIC, HUBER, QUARTIC, COSH, ADAPT, MULTIPLE_QUADRATIC }
-
-  public static LogPriorType getType(String name) {
-    if (name.equalsIgnoreCase("null")) { return LogPriorType.NULL; }
-    else if (name.equalsIgnoreCase("quadratic")) { return LogPriorType.QUADRATIC; }
-    else if (name.equalsIgnoreCase("huber")) { return LogPriorType.HUBER; }
-    else if (name.equalsIgnoreCase("quartic")) { return LogPriorType.QUARTIC; }
-    else if (name.equalsIgnoreCase("cosh")) { return LogPriorType.COSH; }
-//    else if (name.equalsIgnoreCase("multiple")) { return LogPriorType.MULTIPLE; }
-    else { throw new RuntimeException("Unknown LogPriorType: "+name); }
-  }
-
-  // these fields are just for the ADAPT prior -
-  // is there a better way to do this?
-  private double[] means = null;
-  private LogPrior otherPrior = null;
-
-  public static LogPrior getAdaptationPrior(double[] means, LogPrior otherPrior) {
-    LogPrior lp = new LogPrior(LogPriorType.ADAPT);
-    lp.means = means;
-    lp.otherPrior = otherPrior;
-    return lp;
-  }
-
-  public LogPriorType getType() {
-    return type;
-  }
-
-  public final LogPriorType type;
-
-  public LogPrior() {
-    this(LogPriorType.QUADRATIC);
-  }
-
-  public LogPrior(int intPrior) {
-    this(intPrior, 1.0, 0.1);
-  }
-
-  public LogPrior(LogPriorType type) {
-    this(type, 1.0, 0.1);
-  }
-
-  // why isn't this functionality in enum?
-  private static LogPriorType intToType(int intPrior) {
-    LogPriorType[] values = LogPriorType.values();
-    for (LogPriorType val : values) {
-      if (val.ordinal() == intPrior) {
-        return val;
-      }
-    }
-    throw new IllegalArgumentException(intPrior + " is not a legal LogPrior.");
-  }
-
-  public LogPrior(int intPrior, double sigma, double epsilon) {
-    this(intToType(intPrior), sigma, epsilon);
-  }
-
-  public LogPrior(LogPriorType type, double sigma, double epsilon) {
-    this.type = type;
-    if (type != LogPriorType.ADAPT) {
-      setSigma(sigma);
-      setEpsilon(epsilon);
-    }
-  }
-
-
-  // this is the C variable in CSFoo's MM paper C = 1/\sigma^2
-//  private double[] regularizationHyperparameters = null;
-  
-  private double[] sigmaSqM = null;
-  private double[] sigmaQuM = null;
-  
-
-//  public double[] getRegularizationHyperparameters() {
-//    return regularizationHyperparameters;
-//  }
-//
-//  public void setRegularizationHyperparameters(
-//      double[] regularizationHyperparameters) {
-//    this.regularizationHyperparameters = regularizationHyperparameters;
-//  }
-
-  /**
-   * IMPORTANT NOTE: This constructor allows non-uniform regularization, but it
-   * transforms the inputs C (like the machine learning people like) to sigma
-   * (like we NLP folks like).  C = 1/\sigma^2
-   */
-  public LogPrior(double[] C) {
-    this.type = LogPriorType.MULTIPLE_QUADRATIC;
-    double[] sigmaSqM = new double[C.length];
-    for (int i=0;i<C.length;i++){
-      sigmaSqM[i] = 1./C[i];
-    }
-    this.sigmaSqM = sigmaSqM;
-    setSigmaSquaredM(sigmaSqM);
-//    this.regularizationHyperparameters = regularizationHyperparameters;
-  }
-
-  
-//  private double sigma;
-  private double sigmaSq;
-  private double sigmaQu;
-  private double epsilon;
-
-  public double getSigma() {
-    if (type == LogPriorType.ADAPT) {
-      return otherPrior.getSigma();
-    } else {
-      return Math.sqrt(sigmaSq);
-    }
-  }
-
-  public double getSigmaSquared() {
-    if (type == LogPriorType.ADAPT) {
-      return otherPrior.getSigmaSquared();
-    } else {
-      return sigmaSq;
-    }
-  }
-
-  public double[] getSigmaSquaredM() {
-    if (type == LogPriorType.MULTIPLE_QUADRATIC) {
-      return sigmaSqM;
-    } else {
-      throw new RuntimeException("LogPrior.getSigmaSquaredM is undefined for any prior but MULTIPLE_QUADRATIC" + this);
-    }
-  }  
-  
-  
-  public double getEpsilon() {
-    if (type == LogPriorType.ADAPT) {
-      return otherPrior.getEpsilon();
-    } else {
-      return epsilon;
-    }
-  }
-
-  public void setSigma(double sigma) {
-    if (type == LogPriorType.ADAPT) { otherPrior.setSigma(sigma); }
-    else {
-//    this.sigma = sigma;
-      this.sigmaSq = sigma * sigma;
-      this.sigmaQu = sigmaSq * sigmaSq;
-    }
-  }
-
-//  public void setSigmaM(double[] sigmaM) {
-//    if (type == LogPriorType.MULTIPLE_QUADRATIC) {
-//      //    this.sigma = Math.sqrt(sigmaSq);
-//      double[] sigmaSqM = new double[sigmaM.length];
-//      double[] sigmaQuM = new double[sigmaM.length];
-//      
-//      for (int i = 0;i<sigmaM.length;i++){
-//        sigmaSqM[i] = sigmaM[i] * sigmaM[i];  
-//      }      
-//      this.sigmaSqM = sigmaSqM;
-//      
-//      for (int i = 0;i<sigmaSqM.length;i++){
-//        sigmaQuM[i] = sigmaSqM[i] * sigmaSqM[i];  
-//      }
-//      this.sigmaQuM = sigmaQuM;
-//      
-//    } else {
-//      throw new RuntimeException("LogPrior.getSigmaSquaredM is undefined for any prior but MULTIPLE_QUADRATIC" + this);
-//    }      
-//  }  
-  
-  
-  public void setSigmaSquared(double sigmaSq) {
-    if (type == LogPriorType.ADAPT) { otherPrior.setSigmaSquared(sigmaSq); }
-    else {
-//    this.sigma = Math.sqrt(sigmaSq);
-      this.sigmaSq = sigmaSq;
-      this.sigmaQu = sigmaSq * sigmaSq;
-    }
-  }
-  
-  public void setSigmaSquaredM(double[] sigmaSq) {
-    if (type == LogPriorType.ADAPT) { otherPrior.setSigmaSquaredM(sigmaSq); }
-    if (type == LogPriorType.MULTIPLE_QUADRATIC) {
-      //    this.sigma = Math.sqrt(sigmaSq);
-      this.sigmaSqM = sigmaSq.clone();
-      double[] sigmaQuM = new double[sigmaSq.length];
-      for (int i = 0;i<sigmaSq.length;i++){
-        sigmaQuM[i] = sigmaSqM[i] * sigmaSqM[i];  
-      }
-      this.sigmaQuM = sigmaQuM;
-      
-    } else {
-      throw new RuntimeException("LogPrior.getSigmaSquaredM is undefined for any prior but MULTIPLE_QUADRATIC" + this);
-    }         
-  }
-    
-  public void setEpsilon(double epsilon) {
-    if (type == LogPriorType.ADAPT) { otherPrior.setEpsilon(epsilon); }
-    else {
-      this.epsilon = epsilon;
-    }
-  }
-
-  public double computeStochastic(double[] x, double[] grad, double fractionOfData) {
-    if (type == LogPriorType.ADAPT) {
-      double[] newX = ArrayMath.pairwiseSubtract(x, means);
-      return otherPrior.computeStochastic(newX, grad, fractionOfData);
-    } else if (type == LogPriorType.MULTIPLE_QUADRATIC) {
-      
-      double[] sigmaSquaredOld = getSigmaSquaredM();
-      double[] sigmaSquaredTemp = sigmaSquaredOld.clone(); 
-      for (int i = 0; i < x.length; i++) {
-        sigmaSquaredTemp[i] /= fractionOfData;
-      }
-      setSigmaSquaredM(sigmaSquaredTemp);
-      
-      double val = compute(x, grad);
-      setSigmaSquaredM(sigmaSquaredOld);
-      return val;
-      
-    } else {
-      double sigmaSquaredOld = getSigmaSquared();
-      setSigmaSquared(sigmaSquaredOld / fractionOfData);
-      
-      double val = compute(x, grad);
-      setSigmaSquared(sigmaSquaredOld);
-      return val;
-    }
-  }
-  
-  /**
-   * Adjust the given grad array by adding the prior's gradient component
-   * and return the value of the logPrior
-   * @param x the input point
-   * @param grad the gradient array
-   * @return the value
-   */
-  public double compute(double[] x, double[] grad) {
-    
-    double val = 0.0;
-
-    switch (type) {
-      case NULL:
-        return val;
-
-      case QUADRATIC:
-        for (int i = 0; i < x.length; i++) {
-          val += x[i] * x[i] / 2.0 / sigmaSq;
-          grad[i] += x[i] / sigmaSq;
-        }
-        return val;
-
-      case HUBER:
-        // P.J. Huber. 1973. Robust regression: Asymptotics, conjectures and
-        // Monte Carlo. The Annals of Statistics 1: 799-821.
-        // See also:
-        // P. J. Huber. Robust Statistics. John Wiley & Sons, New York, 1981.
-        for (int i = 0; i < x.length; i++) {
-          if (x[i] < -epsilon) {
-            val += (-x[i] - epsilon / 2.0) / sigmaSq;
-            grad[i] += -1.0 / sigmaSq;
-          } else if (x[i] < epsilon) {
-            val += x[i] * x[i] / 2.0 / epsilon / sigmaSq;
-            grad[i] += x[i] / epsilon / sigmaSq;
-          } else {
-            val += (x[i] - epsilon / 2.0) / sigmaSq;
-            grad[i] += 1.0 / sigmaSq;
-          }
-        }
-        return val;
-
-      case QUARTIC:
-        for (int i = 0; i < x.length; i++) {
-          val += (x[i] * x[i]) * (x[i] * x[i]) / 2.0 / sigmaQu;
-          grad[i] += x[i] / sigmaQu;
-        }
-        return val;
-
-      case ADAPT:
-        double[] newX = ArrayMath.pairwiseSubtract(x, means);
-        val += otherPrior.compute(newX, grad);
-        return val;
-
-      case COSH:
-        double norm = ArrayMath.norm_1(x) / sigmaSq;
-        double d;
-        if (norm > 30.0) {
-          val = norm - Math.log(2);
-          d = 1.0 / sigmaSq;
-        } else {
-          val = Math.log(Math.cosh(norm));
-          d = (2 * (1 / (Math.exp(-2.0 * norm) + 1)) - 1.0) / sigmaSq;
-        }
-        for (int i=0; i < x.length; i++) {
-          grad[i] += Math.signum(x[i]) * d;
-        }
-        return val;
-      case MULTIPLE_QUADRATIC:
-//        for (int i = 0; i < x.length; i++) {
-//          val += x[i] * x[i]* 1/2 * regularizationHyperparameters[i];
-//          grad[i] += x[i] * regularizationHyperparameters[i];
-//        }
-        
-        for (int i = 0; i < x.length; i++) {
-          val += x[i] * x[i] / 2.0 / sigmaSqM[i];
-          grad[i] += x[i] / sigmaSqM[i];
-        }
-        
-        
-        return val;
-      default:
-        throw new RuntimeException("LogPrior.valueAt is undefined for prior of type " + this);
-    }
-  }
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/PRCurve.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/PRCurve.java
deleted file mode 100644
index 16c1295..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/PRCurve.java
+++ /dev/null
@@ -1,367 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import java.util.ArrayList;
-import java.util.List;
-import java.io.File;
-
-import edu.stanford.nlp.util.BinaryHeapPriorityQueue;
-import edu.stanford.nlp.objectbank.ObjectBank;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.PriorityQueue;
-import edu.stanford.nlp.util.StringUtils;
-import edu.stanford.nlp.util.Triple;
-
-/**
- * @author Kristina Toutanova
- *         May 23, 2005
- *         A class to create recall-precision curves given scores
- *         used to fit the best monotonic function for logistic regression and svms
- */
-public class PRCurve {
-  double[] scores; //sorted scores
-  int[] classes; // the class of example i
-  int[] guesses; // the guess of example i according to the argmax
-  int[] numpositive; // number positive in the i-th highest scores
-  int[] numnegative; // number negative in the i-th lowest scores
-
-  /**
-   * reads scores with classes from a file, sorts by score and creates the arrays
-   *
-   */
-  public PRCurve(String filename) {
-    try {
-      ArrayList<Pair<Double, Integer>> dataScores = new ArrayList<Pair<Double, Integer>>();
-      for(String line : ObjectBank.getLineIterator(new File(filename))) {
-        List<String> elems = StringUtils.split(line);
-        Pair<Double, Integer> p = new Pair<Double, Integer>(new Double(elems.get(0).toString()), Integer.valueOf(elems.get(1).toString()));
-        dataScores.add(p);
-      }
-      init(dataScores);
-    } catch (Exception e) {
-      e.printStackTrace();
-    }
-
-  }
-
-
-  /**
-   * reads scores with classes from a file, sorts by score and creates the arrays
-   *
-   */
-  public PRCurve(String filename, boolean svm) {
-    try {
-
-      ArrayList<Pair<Double, Integer>> dataScores = new ArrayList<Pair<Double, Integer>>();
-      for(String line : ObjectBank.getLineIterator(new File(filename))) {
-        List<String> elems = StringUtils.split(line);
-        int cls = (new Double(elems.get(0).toString())).intValue();
-        if (cls == -1) {
-          cls = 0;
-        }
-        double score = Double.parseDouble(elems.get(1).toString()) + 0.5;
-        Pair<Double, Integer> p = new Pair<Double, Integer>(new Double(score), Integer.valueOf(cls));
-        dataScores.add(p);
-      }
-      init(dataScores);
-    } catch (Exception e) {
-      e.printStackTrace();
-    }
-
-  }
-
-  public double optimalAccuracy() {
-    return precision(numSamples()) / (double) numSamples();
-  }
-
-  public double accuracy() {
-    return logPrecision(numSamples()) / (double) numSamples();
-  }
-
-
-  public PRCurve(List<Pair<Double, Integer>> dataScores) {
-    init(dataScores);
-  }
-
-  public void init(List<Pair<Double, Integer>> dataScores) {
-    PriorityQueue<Pair<Integer, Pair<Double, Integer>>> q = new BinaryHeapPriorityQueue<Pair<Integer, Pair<Double, Integer>>>();
-    for (int i = 0; i < dataScores.size(); i++) {
-      q.add(new Pair<Integer, Pair<Double, Integer>>(Integer.valueOf(i), dataScores.get(i)), -dataScores.get(i).first().doubleValue());
-    }
-    List<Pair<Integer, Pair<Double, Integer>>> sorted = q.toSortedList();
-    scores = new double[sorted.size()];
-    classes = new int[sorted.size()];
-    System.err.println("incoming size " + dataScores.size() + " resulting " + sorted.size());
-
-    for (int i = 0; i < sorted.size(); i++) {
-      Pair<Double, Integer> next = sorted.get(i).second();
-      scores[i] = next.first().doubleValue();
-      classes[i] = next.second().intValue();
-    }
-    init();
-  }
-
-
-  public void initMC(ArrayList<Triple<Double, Integer, Integer>> dataScores) {
-    PriorityQueue<Pair<Integer, Triple<Double, Integer, Integer>>> q = new BinaryHeapPriorityQueue<Pair<Integer, Triple<Double, Integer, Integer>>>();
-    for (int i = 0; i < dataScores.size(); i++) {
-      q.add(new Pair<Integer, Triple<Double, Integer, Integer>>(Integer.valueOf(i), dataScores.get(i)), -dataScores.get(i).first().doubleValue());
-    }
-    List<Pair<Integer, Triple<Double, Integer, Integer>>> sorted = q.toSortedList();
-    scores = new double[sorted.size()];
-    classes = new int[sorted.size()];
-    guesses = new int[sorted.size()];
-    System.err.println("incoming size " + dataScores.size() + " resulting " + sorted.size());
-
-    for (int i = 0; i < sorted.size(); i++) {
-      Triple<Double, Integer, Integer> next = sorted.get(i).second();
-      scores[i] = next.first().doubleValue();
-      classes[i] = next.second().intValue();
-      guesses[i] = next.third().intValue();
-    }
-    init();
-  }
-
-
-  /**
-   * initialize the numpositive and the numnegative arrays
-   */
-  void init() {
-    numnegative = new int[numSamples() + 1];
-    numpositive = new int[numSamples() + 1];
-    numnegative[0] = 0;
-    numpositive[0] = 0;
-    int num = numSamples();
-    for (int i = 1; i <= num; i++) {
-      numnegative[i] = numnegative[i - 1] + (classes[i - 1] == 0 ? 1 : 0);
-    }
-    for (int i = 1; i <= num; i++) {
-      numpositive[i] = numpositive[i - 1] + (classes[num - i] == 0 ? 0 : 1);
-    }
-    System.err.println("total positive " + numpositive[num] + " total negative " + numnegative[num] + " total " + num);
-    for (int i = 1; i < numpositive.length; i++) {
-      //System.out.println(i + " positive " + numpositive[i] + " negative " + numnegative[i] + " classes " + classes[i - 1] + " " + classes[num - i]);
-    }
-  }
-
-  int numSamples() {
-    return scores.length;
-  }
-
-  /**
-   * what is the best precision at the given recall
-   *
-   */
-  public int precision(int recall) {
-    int optimum = 0;
-    for (int right = 0; right <= recall; right++) {
-      int candidate = numpositive[right] + numnegative[recall - right];
-      if (candidate > optimum) {
-        optimum = candidate;
-      }
-    }
-    return optimum;
-  }
-
-  public static double f1(int tp, int fp, int fn) {
-    double prec = 1;
-    double recall = 1;
-    if (tp + fp > 0) {
-      prec = tp / (double) (tp + fp);
-    }
-    if (tp + fn > 0) {
-      recall = tp / (double) (tp + fn);
-    }
-    return 2 * prec * recall / (prec + recall);
-  }
-
-  /**
-   * the f-measure if we just guess as negativ the first numleft and guess as poitive the last numright
-   *
-   */
-  public double fmeasure(int numleft, int numright) {
-    int tp = 0, fp = 0, fn = 0;
-    tp = numpositive[numright];
-    fp = numright - tp;
-    fn = numleft - numnegative[numleft];
-    return f1(tp, fp, fn);
-  }
-
-
-  /**
-   * what is the precision at this recall if we look at the score as the probability of class 1 given x
-   * as if coming from logistic regression
-   *
-   */
-  public int logPrecision(int recall) {
-    int totaltaken = 0;
-    int rightIndex = numSamples() - 1; //next right candidate
-    int leftIndex = 0; //next left candidate
-    int totalcorrect = 0;
-
-    while (totaltaken < recall) {
-      double confr = Math.abs(scores[rightIndex] - .5);
-      double confl = Math.abs(scores[leftIndex] - .5);
-      int chosen = leftIndex;
-      if (confr > confl) {
-        chosen = rightIndex;
-        rightIndex--;
-      } else {
-        leftIndex++;
-      }
-      //System.err.println("chose "+chosen+" score "+scores[chosen]+" class "+classes[chosen]+" correct "+correct(scores[chosen],classes[chosen]));
-      if ((scores[chosen] >= .5) && (classes[chosen] == 1)) {
-        totalcorrect++;
-      }
-      if ((scores[chosen] < .5) && (classes[chosen] == 0)) {
-        totalcorrect++;
-      }
-      totaltaken++;
-    }
-
-    return totalcorrect;
-  }
-
-  /**
-   * what is the optimal f-measure we can achieve given recall guesses
-   * using the optimal monotonic function
-   *
-   */
-  public double optFmeasure(int recall) {
-    double max = 0;
-    for (int i = 0; i < (recall + 1); i++) {
-      double f = fmeasure(i, recall - i);
-      if (f > max) {
-        max = f;
-      }
-    }
-    return max;
-  }
-
-  public double opFmeasure() {
-    return optFmeasure(numSamples());
-  }
-
-  /**
-   * what is the f-measure at this recall if we look at the score as the probability of class 1 given x
-   * as if coming from logistic regression same as logPrecision but calculating f-measure
-   *
-   * @param recall make this many guesses for which we are most confident
-   */
-  public double fmeasure(int recall) {
-    int totaltaken = 0;
-    int rightIndex = numSamples() - 1; //next right candidate
-    int leftIndex = 0; //next left candidate
-    int tp = 0, fp = 0, fn = 0;
-    while (totaltaken < recall) {
-      double confr = Math.abs(scores[rightIndex] - .5);
-      double confl = Math.abs(scores[leftIndex] - .5);
-      int chosen = leftIndex;
-      if (confr > confl) {
-        chosen = rightIndex;
-        rightIndex--;
-      } else {
-        leftIndex++;
-      }
-      //System.err.println("chose "+chosen+" score "+scores[chosen]+" class "+classes[chosen]+" correct "+correct(scores[chosen],classes[chosen]));
-      if ((scores[chosen] >= .5)) {
-        if (classes[chosen] == 1) {
-          tp++;
-        } else {
-          fp++;
-        }
-      }
-      if ((scores[chosen] < .5)) {
-        if (classes[chosen] == 1) {
-          fn++;
-        }
-      }
-      totaltaken++;
-    }
-
-    return f1(tp, fp, fn);
-
-  }
-
-
-  /**
-   * assuming the scores are probability of 1 given x
-   *
-   */
-  public double logLikelihood() {
-    double loglik = 0;
-    for (int i = 0; i < scores.length; i++) {
-      loglik += Math.log(classes[i] == 0 ? 1 - scores[i] : scores[i]);
-    }
-    return loglik;
-  }
-
-  /**
-   * confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
-   *
-   */
-  public double cwa() {
-    double acc = 0;
-    for (int recall = 1; recall <= numSamples(); recall++) {
-      acc += logPrecision(recall) / (double) recall;
-    }
-    return acc / numSamples();
-  }
-
-  /**
-   * confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
-   *
-   */
-  public int[] cwaArray() {
-    int[] arr = new int[numSamples()];
-    for (int recall = 1; recall <= numSamples(); recall++) {
-      arr[recall - 1] = logPrecision(recall);
-    }
-    return arr;
-  }
-
-  /**
-   * confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
-   *
-   */
-  public int[] optimalCwaArray() {
-    int[] arr = new int[numSamples()];
-    for (int recall = 1; recall <= numSamples(); recall++) {
-      arr[recall - 1] = precision(recall);
-    }
-    return arr;
-  }
-
-  /**
-   * optimal confidence weighted accuracy assuming for each recall we can fit an optimal monotonic function
-   *
-   */
-  public double optimalCwa() {
-    double acc = 0;
-    for (int recall = 1; recall <= numSamples(); recall++) {
-      acc += precision(recall) / (double) recall;
-    }
-    return acc / numSamples();
-  }
-
-
-  public static boolean correct(double score, int cls) {
-    return ((score >= .5) && (cls == 1)) || ((score < .5) && (cls == 0));
-  }
-
-  public static void main(String[] args) {
-
-    PriorityQueue<String> q = new BinaryHeapPriorityQueue<String>();
-    q.add("bla", 2);
-    q.add("bla3", 2);
-    System.err.println("size of q " + q.size());
-
-    PRCurve pr = new PRCurve("c:/data0204/precsvm", true);
-    System.err.println("acc " + pr.accuracy() + " opt " + pr.optimalAccuracy() + " cwa " + pr.cwa() + " optcwa " + pr.optimalCwa());
-    for (int r = 1; r <= pr.numSamples(); r++) {
-      System.err.println("optimal precision at recall " + r + " " + pr.precision(r));
-      System.err.println("model precision at recall " + r + " " + pr.logPrecision(r));
-    }
-  }
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/ProbabilisticClassifier.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/ProbabilisticClassifier.java
deleted file mode 100644
index 7cae490..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/ProbabilisticClassifier.java
+++ /dev/null
@@ -1,10 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.stats.Counter;
-
-public interface ProbabilisticClassifier<L, F> extends Classifier<L, F>
-{
-  public Counter<L> probabilityOf(Datum<L, F> example);
-  public Counter<L> logProbabilityOf(Datum<L, F> example);
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/ProbabilisticClassifierCreator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/ProbabilisticClassifierCreator.java
deleted file mode 100644
index ee06806..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/ProbabilisticClassifierCreator.java
+++ /dev/null
@@ -1,10 +0,0 @@
-package edu.stanford.nlp.classify;
-
-/**
- * Creates a probablic classifier with given weights
- *
- * @author Angel Chang
- */
-public interface ProbabilisticClassifierCreator<L,F> {
-  public ProbabilisticClassifier<L,F> createProbabilisticClassifier(double[] weights);
-}
\ No newline at end of file
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/RVFClassifier.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/RVFClassifier.java
deleted file mode 100644
index 1a7d438..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/RVFClassifier.java
+++ /dev/null
@@ -1,20 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import edu.stanford.nlp.ling.RVFDatum;
-import edu.stanford.nlp.stats.Counter;
-
-import java.io.Serializable;
-
-/**
- * A simple interface for classifying and scoring data points with
- * real-valued features.  Implemented by the linear classifier.
- *
- * @author Jenny Finkel
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (Templatization)
- */
-
-public interface RVFClassifier<L, F> extends Serializable {
-  public L classOf(RVFDatum<L, F> example);
-
-  public Counter<L> scoresOf(RVFDatum<L, F> example);
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/RVFDataset.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/RVFDataset.java
deleted file mode 100644
index 3df87be..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/RVFDataset.java
+++ /dev/null
@@ -1,961 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import java.io.BufferedReader;
-import java.io.File;
-import java.io.FileNotFoundException;
-import java.io.FileReader;
-import java.io.PrintWriter;
-import java.io.StringWriter;
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.HashMap;
-import java.util.HashSet;
-import java.util.Iterator;
-import java.util.List;
-import java.util.Random;
-import java.util.Set;
-
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.ling.RVFDatum;
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.stats.Counter;
-import edu.stanford.nlp.stats.Counters;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.HashIndex;
-
-
-/**
- * An interfacing class for {@link ClassifierFactory} that incrementally
- * builds a more memory-efficient representation of a {@link List} of
- * {@link RVFDatum} objects for the purposes of training a {@link Classifier}
- * with a {@link ClassifierFactory}.
- *
- * @author Jenny Finkel (jrfinkel@stanford.edu)
- * @author Rajat Raina (added methods to record data sources and ids)
- * @author Anna Rafferty (various refactoring with GeneralDataset/Dataset)
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (Templatization)
- *
- * @param <L> The type of the labels in the Dataset
- * @param <F> The type of the features in the Dataset
- */
-public class RVFDataset<L, F> extends GeneralDataset<L, F> implements Iterable<RVFDatum<L, F>> { // Serializable
-
-  private static final long serialVersionUID = -3841757837680266182L;
-
-  private double[][] values;
-  private double[] minValues; // = null; //stores the minValues of all features for normalization.
-  private double[] maxValues; // = null; //stores the maxValues of all features for normalization.
-  double[] means;
-  double[] stdevs; //means and stdevs of features, used for
-
-
-  /*
-   * Store source and id of each datum; optional, and not fully supported.
-   */
-  private ArrayList<Pair<String,String>> sourcesAndIds;
-
-  public RVFDataset() {
-    this(10);
-  }
-
-  public RVFDataset(int numDatums, Index<F> featureIndex, Index<L> labelIndex) {
-    this(numDatums);
-    this.labelIndex = labelIndex;
-    this.featureIndex = featureIndex;
-  }
-
-  public RVFDataset(Index<F> featureIndex, Index<L> labelIndex) {
-    this(10);
-    this.labelIndex = labelIndex;
-    this.featureIndex = featureIndex;
-  }
-
-  public RVFDataset(int numDatums) {
-    initialize(numDatums);
-  }
-
-  /**
-   * Constructor that fully specifies a Dataset.  Needed this for MulticlassDataset.
-   */
-  public RVFDataset(Index<L> labelIndex, int[] labels, Index<F> featureIndex, int[][] data, double[][] values) {
-    this.labelIndex = labelIndex;
-    this.labels = labels;
-    this.featureIndex = featureIndex;
-    this.data = data;
-    this.values = values;
-    this.size = labels.length;
-  }
-
-  @Override
-  public Pair<GeneralDataset<L, F>, GeneralDataset<L, F>> split(double percentDev) {
-    int devSize = (int)(percentDev * size());
-    int trainSize = size() - devSize;
-
-    int[][] devData = new int[devSize][];
-    double[][] devValues = new double[devSize][];
-    int[] devLabels = new int[devSize];
-
-    int[][] trainData = new int[trainSize][];
-    double[][] trainValues = new double[trainSize][];
-    int[] trainLabels = new int[trainSize];
-
-    System.arraycopy(data, 0, devData, 0, devSize);
-    System.arraycopy(values, 0, devValues, 0, devSize);
-    System.arraycopy(labels, 0, devLabels, 0, devSize);
-
-    System.arraycopy(data, devSize, trainData, 0, trainSize);
-    System.arraycopy(values, devSize, trainValues, 0, trainSize);
-    System.arraycopy(labels, devSize, trainLabels, 0, trainSize);
-
-
-    RVFDataset<L, F> dev = new RVFDataset<L, F>(labelIndex, devLabels, featureIndex, devData, devValues);
-    RVFDataset<L, F> train = new RVFDataset<L, F>(labelIndex, trainLabels, featureIndex, trainData, trainValues);
-
-    return new Pair<GeneralDataset<L, F>,GeneralDataset<L, F>>(train, dev);
-
-  }
-
-  public void scaleFeaturesGaussian(){
-  	means = new double[this.numFeatures()];
-	  Arrays.fill(means, 0);
-
-	  for(int i = 0; i < this.size(); i++){
-		  for(int j = 0; j < data[i].length; j++)
-			  means[data[i][j]]+=values[i][j];
-	  }
-	  ArrayMath.multiplyInPlace(means, 1.0/this.size());
-
-	  stdevs = new double[this.numFeatures()];
-	  Arrays.fill(stdevs, 0);
-	  double[] deltaX = new double[this.numFeatures()];
-
-	  for(int i = 0; i < this.size(); i++){
-		  for(int f = 0; f < this.numFeatures(); f++)
-			  deltaX[f] = -means[f];
-		  for(int j = 0; j < data[i].length; j++)
-			  deltaX[data[i][j]] += values[i][j];
-		  for(int f = 0; f < this.numFeatures(); f++){
-			  stdevs[f] += deltaX[f]*deltaX[f];
-		  }
-	  }
-	  for(int f = 0; f < this.numFeatures(); f++){
-	  	stdevs[f] /= (this.size()-1);
-	  	stdevs[f] = Math.sqrt(stdevs[f]);
-	  }
-	  for(int i = 0; i < this.size(); i++){
-		  for(int j = 0; j < data[i].length; j++){
-		  	int fID = data[i][j];
-		  	if(stdevs[fID] != 0)
-		  			values[i][j] = (values[i][j] - means[fID])/stdevs[fID];
-		  }
-	  }
-
-  }
-  /**
-   * scales feature values linearly such that each feature value lies between 0 and 1.
-   *
-   */
-  public void scaleFeatures(){
-   // TODO: should also implement a method that scales the features using the mean and std.
-    minValues = new double[featureIndex.size()];
-    maxValues = new double[featureIndex.size()];
-    Arrays.fill(minValues, Double.POSITIVE_INFINITY);
-    Arrays.fill(maxValues, Double.NEGATIVE_INFINITY);
-
-    //first identify the max and min values for each feature.
-    //System.out.printf("number of datums: %d dataset size: %d\n",data.length,size());
-    for(int i = 0; i < size(); i++){
-      //System.out.printf("datum %d length %d\n", i,data[i].length);
-      for(int j = 0; j < data[i].length; j++){
-        int f = data[i][j];
-        if(values[i][j] < minValues[f])minValues[f] = values[i][j];
-        if(values[i][j] > maxValues[f])maxValues[f] = values[i][j];
-      }
-    }
-
-    for(int f = 0; f < featureIndex.size(); f++){
-      if(minValues[f] == Double.POSITIVE_INFINITY)
-        throw new RuntimeException("minValue for feature "+f+" not assigned. ");
-      if(maxValues[f] == Double.NEGATIVE_INFINITY)
-         throw new RuntimeException("maxValue for feature "+f+" not assigned.");
-    }
-
-    //now scale each value such that it's between 0 and 1.
-    for(int i = 0; i < size(); i++){
-      for(int j = 0; j < data[i].length; j++){
-        int f = data[i][j];
-        if(minValues[f] != maxValues[f])//the equality can happen for binary features which always take the value of 1.0
-          values[i][j] = (values[i][j] - minValues[f])/(maxValues[f] - minValues[f]);
-      }
-    }
-
-    /*
-    for(int f = 0; f < featureIndex.size(); f++){
-      if(minValues[f] == maxValues[f])
-        throw new RuntimeException("minValue for feature "+f+" is equal to maxValue:"+minValues[f]);
-    }
-    */
-  }
-
-  /**
-   * checks if the dataset has any unbounded values.
-   * Always good to use this before training a model on the dataset.
-   * This way, one can avoid seeing the infamous 4's that get printed by the QuasiNewton Method when NaNs exist in the data!
-   * -Ramesh
-   */
-  public void ensureRealValues(){
-    double[][] values = getValuesArray();
-    int[][] data = getDataArray();
-    for(int i = 0; i < size(); i++){
-      for(int j = 0; j < values[i].length; j++){
-        if(Double.isNaN(values[i][j])){
-          int fID = data[i][j];
-          F feature = featureIndex.get(fID);
-          throw new RuntimeException("datum "+i+" has a NaN value for feature:"+feature);
-        }
-        if(Double.isInfinite(values[i][j])){
-          int fID = data[i][j];
-          F feature = featureIndex.get(fID);
-          throw new RuntimeException("datum "+i+" has infinite value for feature:"+feature);
-        }
-      }
-    }
-  }
-
-  /**
-   * Scales the values of each feature in each linearly using the min and max values found in the training set.
-   * NOTE1: Not guaranteed to be between 0 and 1 for a test datum.
-   * NOTE2: Also filters out features from each datum that are not seen at training time.
-   * @param dataset
-   * @return a new dataset
-   */
-  public RVFDataset<L,F> scaleDataset(RVFDataset<L,F> dataset){
-    RVFDataset<L,F> newDataset = new RVFDataset<L,F>(this.featureIndex,this.labelIndex);
-    for(int i = 0; i < dataset.size(); i++){
-      RVFDatum<L,F> datum = dataset.getDatum(i);
-      newDataset.add(scaleDatum(datum));
-    }
-    return newDataset;
-  }
-
-  /**
-   * Scales the values of each feature linearly using the min and max values found in the training set.
-   * NOTE1: Not guaranteed to be between 0 and 1 for a test datum.
-   * NOTE2: Also filters out features from the datum that are not seen at training time.
-   * @param datum
-   * @return a new datum
-   */
-  public RVFDatum<L,F> scaleDatum(RVFDatum<L,F> datum){
-    //scale this dataset before scaling the datum
-    if(minValues == null || maxValues == null)
-      scaleFeatures();
-    Counter<F> scaledFeatures = new ClassicCounter<F>();
-    for(F feature : datum.asFeatures()){
-      int fID = this.featureIndex.indexOf(feature);
-      if(fID >= 0){
-       double oldVal = datum.asFeaturesCounter().getCount(feature);
-       double newVal;
-       if(minValues[fID] != maxValues[fID])
-         newVal = (oldVal - minValues[fID])/(maxValues[fID] - minValues[fID]);
-       else newVal = oldVal;
-       scaledFeatures.incrementCount(feature, newVal);
-      }
-    }
-    return new RVFDatum<L,F>(scaledFeatures, datum.label());
-  }
-
-  public RVFDataset<L,F> scaleDatasetGaussian(RVFDataset<L,F> dataset){
-    RVFDataset<L,F> newDataset = new RVFDataset<L,F>(this.featureIndex,this.labelIndex);
-    for(int i = 0; i < dataset.size(); i++){
-      RVFDatum<L,F> datum = dataset.getDatum(i);
-      newDataset.add(scaleDatumGaussian(datum));
-    }
-    return newDataset;
-  }
-
-  public RVFDatum<L,F> scaleDatumGaussian(RVFDatum<L,F> datum){
-    //scale this dataset before scaling the datum
-    if(means == null || stdevs == null)
-      scaleFeaturesGaussian();
-    Counter<F> scaledFeatures = new ClassicCounter<F>();
-    for(F feature : datum.asFeatures()){
-      int fID = this.featureIndex.indexOf(feature);
-      if(fID >= 0){
-       double oldVal = datum.asFeaturesCounter().getCount(feature);
-       double newVal;
-       if(stdevs[fID] != 0)
-         newVal = (oldVal - means[fID])/stdevs[fID];
-       else newVal = oldVal;
-       scaledFeatures.incrementCount(feature, newVal);
-      }
-    }
-    return new RVFDatum<L,F>(scaledFeatures, datum.label());
-  }
-
-  @Override
-  public Pair<GeneralDataset<L, F>,GeneralDataset<L, F>> split(int start, int end) {
-    int devSize = end - start;
-    int trainSize = size() - devSize;
-
-    int[][] devData = new int[devSize][];
-    double[][] devValues = new double[devSize][];
-    int[] devLabels = new int[devSize];
-
-    int[][] trainData = new int[trainSize][];
-    double[][] trainValues = new double[trainSize][];
-    int[] trainLabels = new int[trainSize];
-
-    System.arraycopy(data, start, devData, 0, devSize);
-    System.arraycopy(values, start, devValues, 0, devSize);
-    System.arraycopy(labels, start, devLabels, 0, devSize);
-
-    System.arraycopy(data, 0, trainData, 0, start);
-    System.arraycopy(data, end, trainData, start, size()-end);
-    System.arraycopy(values, 0, trainValues, 0, start);
-    System.arraycopy(values, end, trainValues, start, size()-end);
-    System.arraycopy(labels, 0, trainLabels, 0, start);
-    System.arraycopy(labels, end, trainLabels, start, size()-end);
-
-    GeneralDataset<L, F> dev = new RVFDataset<L, F>(labelIndex, devLabels, featureIndex, devData, devValues);
-    GeneralDataset<L, F> train = new RVFDataset<L, F>(labelIndex, trainLabels, featureIndex, trainData, trainValues);
-
-    return new Pair<GeneralDataset<L, F>,GeneralDataset<L, F>>(train, dev);
-
-  }
-
-
-
-
-  //TODO: Check that this does what we want for Datum other than RVFDatum
-  @Override
-  public void add(Datum<L, F> d) {
-    if (d instanceof RVFDatum<?, ?>) {
-      addLabel(d.label());
-      addFeatures(((RVFDatum<L, F>)d).asFeaturesCounter());
-      size++;
-    } else {
-      addLabel(d.label());
-      addFeatures(Counters.asCounter(d.asFeatures()));
-      size++;
-    }
-  }
-
-
-
-  public void add(Datum<L, F> d, String src, String id) {
-    if (d instanceof RVFDatum<?, ?>) {
-      addLabel(d.label());
-      addFeatures(((RVFDatum<L, F>)d).asFeaturesCounter());
-      addSourceAndId(src, id);
-      size++;
-    } else {
-      addLabel(d.label());
-      addFeatures(Counters.asCounter(d.asFeatures()));
-      addSourceAndId(src, id);
-      size++;
-    }
-  }
-
-
-  // TODO shouldn't have both this and getRVFDatum
-  @Override
-  public RVFDatum<L, F> getDatum(int index) {
-    return getRVFDatum(index);
-  }
-
-  /**
-   * @return the index-ed datum
-   *
-   * Note, this returns a new RVFDatum object, not the original RVFDatum that was added to the dataset.
-   */
-  @Override
-  public RVFDatum<L, F> getRVFDatum(int index) {
-    ClassicCounter<F> c = new ClassicCounter<F>();
-    for (int i = 0; i < data[index].length; i++) {
-      c.incrementCount(featureIndex.get(data[index][i]), values[index][i]);
-    }
-    return new RVFDatum<L, F>(c, labelIndex.get(labels[index]));
-  }
-
-  public String getRVFDatumSource(int index) {
-    return sourcesAndIds.get(index).first();
-  }
-  public String getRVFDatumId(int index) {
-    return sourcesAndIds.get(index).second();
-  }
-  private void addSourceAndId(String src, String id) {
-    sourcesAndIds.add(new Pair<String,String>(src, id));
-  }
-
-  private void addLabel(L label) {
-    if (labels.length == size) {
-      int[] newLabels = new int[size * 2];
-      System.arraycopy(labels, 0, newLabels, 0, size);
-      labels = newLabels;
-    }
-    labelIndex.add(label);
-    labels[size] = labelIndex.indexOf(label);
-  }
-
-
-  private void addFeatures(Counter<F> features) {
-    if (data.length == size) {
-      int[][] newData = new int[size * 2][];
-      double[][] newValues = new double[size * 2][];
-      System.arraycopy(data, 0, newData, 0, size);
-      System.arraycopy(values, 0, newValues, 0, size);
-      data = newData;
-      values = newValues;
-    }
-    int[] intFeatures = new int[features.size()];
-    double[] featureValues = new double[features.size()];
-
-    int j = 0;
-    for (F feature : features.keySet()) {
-      featureIndex.add(feature);
-      int fID = featureIndex.indexOf(feature);
-      if(fID >= 0){
-        intFeatures[j] = fID;
-        featureValues[j] = features.getCount(feature);
-        j++;
-      }
-    }
-    data[size] = intFeatures;
-    values[size] = featureValues;
-  }
-
-  /**
-   * Resets the Dataset so that it is empty and ready to collect data.
-   */
-  @Override
-  public void clear() {
-    clear(10);
-  }
-
-  /**
-   * Resets the Dataset so that it is empty and ready to collect data.
-   */
-  @Override
-  public void clear(int numDatums) {
-    initialize(numDatums);
-  }
-
-  @Override
-  protected void initialize(int numDatums) {
-    labelIndex = new HashIndex<L>();
-    featureIndex = new HashIndex<F>();
-    labels = new int[numDatums];
-    data = new int[numDatums][];
-    values = new double[numDatums][];
-    sourcesAndIds = new ArrayList<Pair<String,String>>(numDatums);
-    size = 0;
-  }
-
-
-  /**
-   * Prints some summary statistics to stderr for the Dataset.
-   */
-  @Override
-  public void summaryStatistics() {
-    System.err.println("numDatums: " + size);
-    System.err.print("numLabels: " + labelIndex.size() + " [");
-    Iterator<L> iter = labelIndex.iterator();
-    while (iter.hasNext()) {
-      System.err.print(iter.next());
-      if (iter.hasNext()) {
-        System.err.print(", ");
-      }
-    }
-    System.err.println("]");
-    System.err.println("numFeatures (Phi(X) types): " + featureIndex.size());
-    /*for(int i = 0; i < data.length; i++) {
-      for(int j = 0; j < data[i].length; j++) {
-      System.out.println(data[i][j]);
-      }
-      }*/
-  }
-
-//  private int[] trimToSize(int[] i, int size) {
-//    int[] newI = new int[size];
-//    System.arraycopy(i, 0, newI, 0, size);
-//    return newI;
-//  }
-//
-//  private int[][] trimToSize(int[][] i, int size) {
-//    int[][] newI = new int[size][];
-//    System.arraycopy(i, 0, newI, 0, size);
-//    return newI;
-//  }
-
-  private static double[][] trimToSize(double[][] i, int size) {
-    double[][] newI = new double[size][];
-    System.arraycopy(i, 0, newI, 0, size);
-    return newI;
-  }
-
-
-
-  /**
-   * prints the full feature matrix in tab-delimited form.  These can be BIG
-   * matrices, so be careful! [Can also use printFullFeatureMatrixWithValues]
-   */
-  public void printFullFeatureMatrix(PrintWriter pw) {
-    String sep = "\t";
-    for (int i = 0; i < featureIndex.size(); i++) {
-      pw.print(sep + featureIndex.get(i));
-    }
-    pw.println();
-    for (int i = 0; i < labels.length; i++) {
-      pw.print(labelIndex.get(i));
-      Set<Integer> feats = new HashSet<Integer>();
-      for (int j = 0; j < data[i].length; j++) {
-        int feature = data[i][j];
-        feats.add(Integer.valueOf(feature));
-      }
-      for (int j = 0; j < featureIndex.size(); j++) {
-        if (feats.contains(Integer.valueOf(j))) {
-          pw.print(sep + "1");
-        } else {
-          pw.print(sep + "0");
-        }
-      }
-      pw.println();
-    }
-  }
-
-  /**
-   * Modification of printFullFeatureMatrix to correct bugs & print values (Rajat).
-   * Prints the full feature matrix in tab-delimited form.  These can be BIG
-   * matrices, so be careful!
-   */
-  public void printFullFeatureMatrixWithValues(PrintWriter pw) {
-    String sep = "\t";
-    for (int i = 0; i < featureIndex.size(); i++) {
-      pw.print(sep + featureIndex.get(i));
-    }
-    pw.println();
-    for (int i = 0; i < size; i++) { // changed labels.length to size
-      pw.print(labelIndex.get(labels[i])); // changed i to labels[i]
-      HashMap<Integer,Double> feats = new HashMap<Integer,Double>();
-      for (int j = 0; j < data[i].length; j++) {
-        int feature = data[i][j];
-        double val = values[i][j];
-        feats.put(Integer.valueOf(feature), new Double(val));
-      }
-      for (int j = 0; j < featureIndex.size(); j++) {
-        if (feats.containsKey(Integer.valueOf(j))) {
-          pw.print(sep + feats.get(Integer.valueOf(j)));
-        } else {
-          pw.print(sep + " ");
-        }
-      }
-      pw.println();
-    }
-    pw.flush();
-  }
-
-  /**
-   * Constructs a Dataset by reading in a file in SVM light format.
-   *
-   */
-  public static RVFDataset<String, String> readSVMLightFormat(String filename) {
-    return readSVMLightFormat(filename, new HashIndex<String>(), new HashIndex<String>());
-  }
-
-  /**
-   * Constructs a Dataset by reading in a file in SVM light format.
-   * The lines parameter is filled with the lines of the file for further processing
-   * (if lines is null, it is assumed no line information is desired)
-   */
-  public static RVFDataset<String, String> readSVMLightFormat(String filename, List<String> lines) {
-    return readSVMLightFormat(filename, new HashIndex<String>(), new HashIndex<String>(), lines);
-  }
-
-  /**
-   * Constructs a Dataset by reading in a file in SVM light format.
-   * the created dataset has the same feature and label index as given
-   */
-  public static RVFDataset<String, String> readSVMLightFormat(String filename, Index<String> featureIndex, Index<String> labelIndex) {
-    return readSVMLightFormat(filename, featureIndex, labelIndex, null);
-  }
-
-
-  /**
-   * Removes all features from the dataset that are not in featureSet.
-   * @param featureSet
-   */
-  public void selectFeaturesFromSet(Set<F> featureSet){
-    HashIndex<F> newFeatureIndex = new HashIndex<F>();
-    int[] featMap = new int[featureIndex.size()];
-    Arrays.fill(featMap, -1);
-    for(F feature : featureSet){
-      int oldID = featureIndex.indexOf(feature);
-      if(oldID >= 0){ //it's a valid feature in the index
-        int newID = newFeatureIndex.indexOf(feature, true);
-        featMap[oldID] = newID;
-      }
-    }
-    featureIndex = newFeatureIndex;
-    for (int i = 0; i < size; i++) {
-      List<Integer> featList = new ArrayList<Integer>(data[i].length);
-      List<Double> valueList = new ArrayList<Double>(values[i].length);
-      for (int j = 0; j < data[i].length; j++) {
-        if (featMap[data[i][j]] >= 0) {
-          featList.add(featMap[data[i][j]]);
-          valueList.add(values[i][j]);
-        }
-      }
-      data[i] = new int[featList.size()];
-      values[i] = new double[valueList.size()];
-      for (int j = 0; j < data[i].length; j++) {
-        data[i][j] = featList.get(j);
-        values[i][j] = valueList.get(j);
-      }
-    }
-  }
-
-
-
-  /**
-   * Applies a feature count threshold to the RVFDataset.  All features that
-   * occur fewer than <i>k</i> times are expunged.
-   */
-  public void applyFeatureCountThreshold(int k) {
-    float[] counts = getFeatureCounts();
-    HashIndex<F> newFeatureIndex = new HashIndex<F>();
-
-    int[] featMap = new int[featureIndex.size()];
-    for (int i = 0; i < featMap.length; i++) {
-      F feat = featureIndex.get(i);
-      if (counts[i] >= k) {
-        int newIndex = newFeatureIndex.size();
-        newFeatureIndex.add(feat);
-        featMap[i] = newIndex;
-      } else {
-        featMap[i] = -1;
-      }
-      // featureIndex.remove(feat);
-    }
-
-    featureIndex = newFeatureIndex;
-    // counts = null; // This is unnecessary; JVM can clean it up
-
-    for (int i = 0; i < size; i++) {
-      List<Integer> featList = new ArrayList<Integer>(data[i].length);
-      List<Double> valueList = new ArrayList<Double>(values[i].length);
-      for (int j = 0; j < data[i].length; j++) {
-        if (featMap[data[i][j]] >= 0) {
-          featList.add(featMap[data[i][j]]);
-          valueList.add(values[i][j]);
-        }
-      }
-      data[i] = new int[featList.size()];
-      values[i] = new double[valueList.size()];
-      for (int j = 0; j < data[i].length; j++) {
-        data[i][j] = featList.get(j);
-        values[i][j] = valueList.get(j);
-      }
-    }
-  }
-
-
-  /**
-   * Applies a feature max count threshold to the RVFDataset.  All features that
-   * occur greater than <i>k</i> times are expunged.
-   */
-  public void applyFeatureMaxCountThreshold(int k) {
-    float[] counts = getFeatureCounts();
-    HashIndex<F> newFeatureIndex = new HashIndex<F>();
-
-    int[] featMap = new int[featureIndex.size()];
-    for (int i = 0; i < featMap.length; i++) {
-      F feat = featureIndex.get(i);
-      if (counts[i] <= k) {
-        int newIndex = newFeatureIndex.size();
-        newFeatureIndex.add(feat);
-        featMap[i] = newIndex;
-      } else {
-        featMap[i] = -1;
-      }
-      // featureIndex.remove(feat);
-    }
-
-    featureIndex = newFeatureIndex;
-    // counts = null; // This is unnecessary; JVM can clean it up
-
-    for (int i = 0; i < size; i++) {
-      List<Integer> featList = new ArrayList<Integer>(data[i].length);
-      List<Double> valueList = new ArrayList<Double>(values[i].length);
-      for (int j = 0; j < data[i].length; j++) {
-        if (featMap[data[i][j]] >= 0) {
-          featList.add(featMap[data[i][j]]);
-          valueList.add(values[i][j]);
-        }
-      }
-      data[i] = new int[featList.size()];
-      values[i] = new double[valueList.size()];
-      for (int j = 0; j < data[i].length; j++) {
-        data[i][j] = featList.get(j);
-        values[i][j] = valueList.get(j);
-      }
-    }
-  }
-
-  private static RVFDataset<String, String> readSVMLightFormat(String filename, Index<String> featureIndex, Index<String> labelIndex, List<String> lines) {
-    BufferedReader in = null;
-    RVFDataset<String, String> dataset;
-    try {
-      dataset = new RVFDataset<String, String>(10, featureIndex, labelIndex);
-      in = new BufferedReader(new FileReader(filename));
-
-      while (in.ready()) {
-        String line = in.readLine();
-        if(lines != null)
-          lines.add(line);
-        dataset.add(svmLightLineToRVFDatum(line));
-      }
-
-    } catch (Exception e) {
-      throw new RuntimeException(e);
-    } finally {
-      IOUtils.closeIgnoringExceptions(in);
-    }
-    return dataset;
-  }
-
-  public static RVFDatum<String, String> svmLightLineToRVFDatum(String l) {
-    l = l.replaceAll("#.*", ""); // remove any trailing comments
-    String[] line = l.split("\\s+");
-    ClassicCounter<String> features = new ClassicCounter<String>();
-    for (int i = 1; i < line.length; i++) {
-      String[] f = line[i].split(":");
-      double val = Double.parseDouble(f[1]);
-      features.incrementCount(f[0], val);
-    }
-    return new RVFDatum<String, String>(features, line[0]);
-  }
-
-  /**
-   * Read SVM-light formatted data into this dataset.
-   *
-   * A strict SVM-light format is expected, where labels and features are both
-   * encoded as integers. These integers are converted into the dataset label
-   * and feature types using the indexes stored in this dataset.
-   *
-   * @param file The file from which the data should be read.
-   */
-  public void readSVMLightFormat(File file) {
-    for (String line: IOUtils.readLines(file)) {
-      line = line.replaceAll("#.*", ""); // remove any trailing comments
-      String[] items = line.split("\\s+");
-      Integer label = Integer.parseInt(items[0]);
-      Counter<F> features = new ClassicCounter<F>();
-      for (int i = 1; i < items.length; i++) {
-        String[] featureItems = items[i].split(":");
-        int feature = Integer.parseInt(featureItems[0]);
-        double value = Double.parseDouble(featureItems[1]);
-        features.incrementCount(this.featureIndex.get(feature), value);
-      }
-      this.add(new RVFDatum<L, F>(features, this.labelIndex.get(label)));
-    }
-  }
-
-  /**
-   * Write the dataset in SVM-light format to the file.
-   *
-   * A strict SVM-light format will be written, where labels and features are
-   * both encoded as integers, using the label and feature indexes of this
-   * datset. Datasets written by this method can be read by
-   * {@link #readSVMLightFormat(File)}.
-   *
-   * @param file The location where the dataset should be written.
-   */
-  public void writeSVMLightFormat(File file) throws FileNotFoundException {
-    PrintWriter writer = new PrintWriter(file);
-    try {
-      for (RVFDatum<L, F> datum: this) {
-        writer.print(this.labelIndex.indexOf(datum.label()));
-        Counter<F> features = datum.asFeaturesCounter();
-        for (F feature: features.keySet()) {
-          double count = features.getCount(feature);
-          writer.format(" %s:%f", this.featureIndex.indexOf(feature), count);
-        }
-        writer.println();
-      }
-    } finally {
-      writer.close();
-    }
-  }
-
-  /**
-   * Prints the sparse feature matrix using {@link #printSparseFeatureMatrix(PrintWriter)}
-   * to {@link System#out System.out}.
-   */
-  public void printSparseFeatureMatrix() {
-    printSparseFeatureMatrix(new PrintWriter(System.out, true));
-  }
-
-  /**
-   * Prints a sparse feature matrix representation of the Dataset.  Prints the actual
-   * {@link Object#toString()} representations of features.
-   */
-  public void printSparseFeatureMatrix(PrintWriter pw) {
-    String sep = "\t";
-    for (int i = 0; i < size; i++) {
-      pw.print(labelIndex.get(labels[i]));
-      int[] datum = data[i];
-      for (int feat : datum) {
-        pw.print(sep);
-        pw.print(featureIndex.get(feat));
-      }
-      pw.println();
-    }
-  }
-
-  /**
-   * Prints a sparse feature-value output of the Dataset.  Prints the actual
-   * {@link Object#toString()} representations of features.
-   * This is probably what you want for RVFDataset since the above two
-   * methods seem useless and unused.
-   */
-  public void printSparseFeatureValues(PrintWriter pw) {
-    for (int i = 0; i < size; i++) {
-      printSparseFeatureValues(i, pw);
-    }
-  }
-
-  /**
-   * Prints a sparse feature-value output of the Dataset.  Prints the actual
-   * {@link Object#toString()} representations of features.
-   * This is probably what you want for RVFDataset since the above two
-   * methods seem useless and unused.
-   */
-  public void printSparseFeatureValues(int datumNo, PrintWriter pw) {
-    pw.print(labelIndex.get(labels[datumNo]));
-    pw.print('\t');
-    pw.println("LABEL");
-    int[] datum = data[datumNo];
-    double[] vals = values[datumNo];
-    assert datum.length == vals.length;
-    for (int i = 0; i < datum.length; i++) {
-      pw.print(featureIndex.get(datum[i]));
-      pw.print('\t');
-      pw.println(vals[i]);
-    }
-    pw.println();
-  }
-
-  public static void main(String[] args) {
-    RVFDataset<String, String> data = new RVFDataset<String, String>();
-    ClassicCounter<String> c1 = new ClassicCounter<String>();
-    c1.incrementCount("fever", 3.5);
-    c1.incrementCount("cough", 1.1);
-    c1.incrementCount("congestion", 4.2);
-
-    ClassicCounter<String> c2 = new ClassicCounter<String>();
-    c2.incrementCount("fever", 1.5);
-    c2.incrementCount("cough", 2.1);
-    c2.incrementCount("nausea", 3.2);
-
-    ClassicCounter<String> c3 = new ClassicCounter<String>();
-    c3.incrementCount("cough", 2.5);
-    c3.incrementCount("congestion", 3.2);
-
-    data.add(new RVFDatum<String, String>(c1, "cold"));
-    data.add(new RVFDatum<String, String>(c2, "flu"));
-    data.add(new RVFDatum<String, String>(c3, "cold"));
-    data.summaryStatistics();
-
-    LinearClassifierFactory<String, String> factory = new LinearClassifierFactory<String, String>();
-    factory.useQuasiNewton();
-
-    LinearClassifier<String, String> c = factory.trainClassifier(data);
-
-    ClassicCounter<String> c4 = new ClassicCounter<String>();
-    c4.incrementCount("cough", 2.3);
-    c4.incrementCount("fever", 1.3);
-
-    RVFDatum<String, String> datum = new RVFDatum<String, String>(c4);
-
-    c.justificationOf((Datum<String, String>)datum);
-  }
-
-  @Override
-  public double[][] getValuesArray() {
-    values = trimToSize(values, size);
-    return values;
-  }
-
-
-  @Override
-  public String toString() {
-    return "Dataset of size " + size;
-  }
-
-  public String toSummaryString() {
-    StringWriter sw = new StringWriter();
-    PrintWriter pw = new PrintWriter(sw);
-    pw.println("Number of data points: " + size());
-
-    pw.print("Number of labels: " + labelIndex.size() + " [");
-    Iterator<L> iter = labelIndex.iterator();
-    while (iter.hasNext()) {
-      pw.print(iter.next());
-      if (iter.hasNext()) {
-        pw.print(", ");
-      }
-    }
-    pw.println("]");
-    pw.println("Number of features (Phi(X) types): " + featureIndex.size());
-    pw.println("Number of active feature types: " + numFeatureTypes());
-    pw.println("Number of active feature tokens: " + numFeatureTokens());
-
-    return sw.toString();
-  }
-
-  /** {@inheritDoc}
-   */
-  public Iterator<RVFDatum<L, F>> iterator() {
-    return new Iterator<RVFDatum<L,F>>() {
-      private int index; // = 0;
-      public boolean hasNext() {
-        return this.index < size;
-      }
-      public RVFDatum<L, F> next() {
-        RVFDatum<L, F> next = getRVFDatum(this.index);
-        ++this.index;
-        return next;
-      }
-      public void remove() {
-        throw new UnsupportedOperationException();
-      }
-    };
-  }
-
-  /**
-   * Randomizes the data array in place
-   * Needs to be redefined here because we need to randomize the values as well
-   */
-  @Override
-  public void randomize(int randomSeed) {
-    Random rand = new Random(randomSeed);
-    for(int j = size - 1; j > 0; j --){
-      int randIndex = rand.nextInt(j);
-      
-      int [] tmp = data[randIndex];
-      data[randIndex] = data[j];
-      data[j] = tmp;
-      
-      int tmpl = labels[randIndex];
-      labels[randIndex] = labels[j];
-      labels[j] = tmpl;
-      
-      double [] tmpv = values[randIndex];
-      values[randIndex] = values[j];
-      values[j] = tmpv;
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/SemiSupervisedLogConditionalObjectiveFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/SemiSupervisedLogConditionalObjectiveFunction.java
deleted file mode 100644
index 9112f42..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/SemiSupervisedLogConditionalObjectiveFunction.java
+++ /dev/null
@@ -1,67 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import edu.stanford.nlp.optimization.AbstractCachingDiffFunction;
-
-
-/**
- * Maximizes the conditional likelihood with a given prior.
- *
- * @author Jenny Finkel
- * @author Sarah Spikes (Templatization)
- * @author Ramesh Nallapati (Made the function more general to support other AbstractCachingDiffFunctions involving the summation of two objective functions)
- */
-
-public class SemiSupervisedLogConditionalObjectiveFunction extends AbstractCachingDiffFunction {
-
-  AbstractCachingDiffFunction objFunc;
-  //BiasedLogConditionalObjectiveFunction biasedObjFunc;  
-  AbstractCachingDiffFunction biasedObjFunc; 
-  double convexComboFrac = 0.5;
-
-  LogPrior prior;
-  
-  public void setPrior(LogPrior prior) {
-    this.prior = prior;
-  }
-  
-  @Override
-  public int domainDimension() {
-    return objFunc.domainDimension();
-  }
-
-  @Override
-  protected void calculate(double[] x) {
-    if (derivative == null) {
-      derivative = new double[domainDimension()];
-    }
-    
-    value = convexComboFrac*objFunc.valueAt(x) + (1.0-convexComboFrac)*biasedObjFunc.valueAt(x);
-    //value = objFunc.valueAt(x) + biasedObjFunc.valueAt(x);
-    double[] d1 = objFunc.derivativeAt(x);
-    double[] d2 = biasedObjFunc.derivativeAt(x);
-
-    for (int i = 0; i < domainDimension(); i++) {
-      derivative[i] = convexComboFrac*d1[i] + (1.0-convexComboFrac)*d2[i];
-      //derivative[i] = d1[i] + d2[i];
-    }
-    if(prior != null)
-      value += prior.compute(x, derivative);
-  }
-
-  public SemiSupervisedLogConditionalObjectiveFunction(AbstractCachingDiffFunction objFunc, AbstractCachingDiffFunction biasedObjFunc, LogPrior prior, double convexComboFrac) {
-    this.objFunc = objFunc;
-    this.biasedObjFunc = biasedObjFunc;
-    this.prior = prior;
-    this.convexComboFrac = convexComboFrac;    
-    if(convexComboFrac < 0 || convexComboFrac > 1.0)
-      throw new RuntimeException ("convexComboFrac has to lie between 0 and 1 (both inclusive).");
-  }
-
-  public SemiSupervisedLogConditionalObjectiveFunction(AbstractCachingDiffFunction objFunc, AbstractCachingDiffFunction biasedObjFunc, LogPrior prior) {
-    //this.objFunc = objFunc;
-    //this.biasedObjFunc = biasedObjFunc;
-    //this.prior = prior;
-    this(objFunc,biasedObjFunc,prior,0.5);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/WeightedDataset.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/WeightedDataset.java
deleted file mode 100644
index f5c4cd9..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/classify/WeightedDataset.java
+++ /dev/null
@@ -1,110 +0,0 @@
-package edu.stanford.nlp.classify;
-
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.util.Index;
-
-import java.util.Collection;
-import java.util.Random;
-
-/**
- * @author Galen Andrew
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (Templatization)
- */
-public class WeightedDataset<L, F> extends Dataset<L, F> {
-  /**
-   * 
-   */
-  private static final long serialVersionUID = -5435125789127705430L;
-  protected float[] weights;
-
-  public WeightedDataset(Index<L> labelIndex, int[] labels, Index<F> featureIndex, int[][] data, int size, float[] weights) {
-    super(labelIndex, labels, featureIndex, data, data.length);
-    this.weights = weights;
-  }
-
-  public WeightedDataset() {
-    this(10);
-  }
-
-  public WeightedDataset(int initSize) {
-    super(initSize);
-    weights = new float[initSize];
-  }
-
-  private float[] trimToSize(float[] i) {
-    float[] newI = new float[size];
-    System.arraycopy(i, 0, newI, 0, size);
-    return newI;
-  }
-
-  public float[] getWeights() {
-    weights = trimToSize(weights);
-    return weights;
-  }
-
-  @Override
-  public float[] getFeatureCounts() {
-    float[] counts = new float[featureIndex.size()];
-    for (int i = 0, m = size; i < m; i++) {
-      for (int j = 0, n = data[i].length; j < n; j++) {
-        counts[data[i][j]] += weights[i];
-      }
-    }
-    return counts;
-  }
-
-  @Override
-  public void add(Datum<L, F> d) {
-    add(d, 1.0f);
-  }
-
-  @Override
-  public void add(Collection<F> features, L label) {
-    add(features, label, 1.0f);
-  }
-
-  public void add(Datum<L, F> d, float weight) {
-    add(d.asFeatures(), d.label(), weight);
-  }
-
-  @Override
-  protected void ensureSize() {
-    super.ensureSize();
-    if (weights.length == size) {
-      float[] newWeights = new float[size * 2];
-      System.arraycopy(weights, 0, newWeights, 0, size);
-      weights = newWeights;
-    }
-  }
-
-  public void add(Collection<F> features, L label, float weight) {
-    ensureSize();
-    addLabel(label);
-    addFeatures(features);
-    weights[size++] = weight;
-  }
-  
-  /**
-   * Randomizes the data array in place
-   * Needs to be redefined here because we need to randomize the weights as well
-   */
-  @Override
-  public void randomize(int randomSeed) {
-    Random rand = new Random(randomSeed);
-    for(int j = size - 1; j > 0; j --){
-      int randIndex = rand.nextInt(j);
-      
-      int [] tmp = data[randIndex];
-      data[randIndex] = data[j];
-      data[j] = tmp;
-      
-      int tmpl = labels[randIndex];
-      labels[randIndex] = labels[j];
-      labels[j] = tmpl;
-      
-      float tmpw = weights[randIndex];
-      weights[randIndex] = weights[j];
-      weights[j] = tmpw;
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/fsm/DFSA.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/fsm/DFSA.java
deleted file mode 100644
index cc22b3f..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/fsm/DFSA.java
+++ /dev/null
@@ -1,151 +0,0 @@
-package edu.stanford.nlp.fsm;
-
-import edu.stanford.nlp.util.Scored;
-
-import java.io.IOException;
-import java.io.Writer;
-import java.util.*;
-
-/**
- * DFSA: A class for representing a deterministic finite state automaton
- * without epsilon transitions.
- *
- * @author Dan Klein
- * @author Michel Galley (AT&T FSM library format printing)
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) - cleanup and filling in types
- */
-public final class DFSA<T,S> implements Scored {
-
-  Object dfsaID;
-  DFSAState<T,S> initialState;
-
-  public DFSA(DFSAState<T,S> initialState, double score) {
-    this.initialState = initialState;
-    this.score = score;
-  }
-
-  public DFSA(DFSAState<T,S> initialState) {
-    this.initialState = initialState;
-    this.score = Double.NaN;
-  }
-
-  public double score;
-
-  public double score() {
-    return score;
-  }
-
-  public DFSAState<T,S> initialState() {
-    return initialState;
-  }
-
-  public void setInitialState(DFSAState<T,S> initialState) {
-    this.initialState = initialState;
-  }
-
-  public Set<DFSAState<T, S>> states() {
-    Set<DFSAState<T, S>> visited = new HashSet<DFSAState<T, S>>();
-    List<DFSAState<T,S>> toVisit = new ArrayList<DFSAState<T,S>>();
-    toVisit.add(initialState());
-    exploreStates(toVisit, visited);
-    return visited;
-  }
-
-  private static <T, S> void exploreStates(List<DFSAState<T, S>> toVisit, Set<DFSAState<T, S>> visited) {
-    while (!toVisit.isEmpty()) {
-      DFSAState<T, S> state = toVisit.get(toVisit.size() - 1);
-      toVisit.remove(toVisit.size() - 1);
-      if (!visited.contains(state)) {
-        toVisit.addAll(state.successorStates());
-        visited.add(state);
-      }
-    }
-  }
-
-  public DFSA(Object dfsaID) {
-    this.dfsaID = dfsaID;
-    this.score = 0;
-  }
-
-
-  private static <T, S> void printTrieDFSAHelper(DFSAState<T, S> state, int level) {
-    if (state.isAccepting()) {
-      return;
-    }
-    Set<T> inputs = state.continuingInputs();
-    for (T input : inputs) {
-      DFSATransition<T, S> transition = state.transition(input);
-      System.out.print(level);
-      System.out.print(input);
-      for (int i = 0; i < level; i++) {
-        System.out.print("   ");
-      }
-      System.out.print(transition.score());
-      System.out.print(" ");
-      System.out.println(input);
-      printTrieDFSAHelper(transition.target(), level + 1);
-    }
-  }
-
-  public static <T, S> void printTrieDFSA(DFSA<T, S> dfsa) {
-    System.err.println("DFSA: " + dfsa.dfsaID);
-    printTrieDFSAHelper(dfsa.initialState(), 2);
-  }
-
-  public void printAttFsmFormat(Writer w) throws IOException {
-    Queue<DFSAState<T,S>> q = new LinkedList<DFSAState<T,S>>();
-    Set<DFSAState<T,S>> visited = new HashSet<DFSAState<T,S>>();
-    q.offer(initialState);
-    while(q.peek() != null) {
-      DFSAState<T, S> state = q.poll();
-      if(state == null || visited.contains(state))
-        continue;
-      visited.add(state);
-      if (state.isAccepting()) {
-        w.write(state.toString()+"\t"+state.score()+"\n");
-        continue;
-      }
-      TreeSet<T> inputs = new TreeSet<T>(state.continuingInputs());
-      for (T input : inputs) {
-        DFSATransition<T, S> transition = state.transition(input);
-        DFSAState<T,S> target = transition.target();
-        if(!visited.contains(target))
-          q.add(target);
-        w.write(state.toString()+"\t"+target.toString()+"\t"+transition.getInput()+"\t"+transition.score()+"\n");
-      }
-    }
-  }
-
-  private static <T, S> void printTrieAsRulesHelper(DFSAState<T, S> state, String prefix, Writer w) throws IOException {
-    if (state.isAccepting()) {
-      return;
-    }
-    Set<T> inputs = state.continuingInputs();
-    for (T input : inputs) {
-      DFSATransition<T, S> transition = state.transition(input);
-      DFSAState<T, S> target = transition.target();
-      Set<T> inputs2 = target.continuingInputs();
-      boolean allTerminate = true;
-      for (T input2 : inputs2) {
-        DFSATransition<T, S> transition2 = target.transition(input2);
-        DFSAState<T, S> target2 = transition2.target();
-        if (target2.isAccepting()) {
-          // it's a binary end rule.  Print it.
-          w.write(prefix + " --> " + input + " " + input2 + "\n");
-        } else {
-          allTerminate = false;
-        }
-      }
-      if (!allTerminate) {
-        // there are some longer continuations.  Print continuation rule
-        String newPrefix = prefix + "_" + input;
-        w.write(prefix + " --> " + input + " " + newPrefix + "\n");
-        printTrieAsRulesHelper(transition.target(), newPrefix, w);
-      }
-    }
-  }
-
-  public static <T, S> void printTrieAsRules(DFSA<T, S> dfsa, Writer w) throws IOException {
-    printTrieAsRulesHelper(dfsa.initialState(), dfsa.dfsaID.toString(), w);
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/fsm/DFSAState.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/fsm/DFSAState.java
deleted file mode 100644
index 464604a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/fsm/DFSAState.java
+++ /dev/null
@@ -1,151 +0,0 @@
-package edu.stanford.nlp.fsm;
-
-import edu.stanford.nlp.util.Scored;
-
-import java.util.*;
-
-/**
- * DFSAState
- * <p/>
- * Class for representing the state of a deterministic finite state
- * automaton without epsilon transitions.
- *
- * @author Dan Klein
- * @version 12/14/2000
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) - cleanup and filling in types
- * @param <S> stateID type
- * @param <T> transition type
- */
-public final class DFSAState<T,S> implements Scored {
-
-  private S stateID;
-  private Map<T,DFSATransition<T,S>> inputToTransition;
-  public boolean accepting;
-  private DFSA<T,S> dfsa;
-
-  public double score;
-
-  public double score() {
-    return score;
-  }
-
-  public void setScore(double score) {
-    this.score = score;
-  }
-
-
-  public DFSA<T, S> dfsa() {
-    return dfsa;
-  }
-
-  public void setStateID(S stateID) {
-    this.stateID = stateID;
-  }
-
-  public S stateID() {
-    return stateID;
-  }
-
-  public void addTransition(DFSATransition<T,S> transition) {
-    inputToTransition.put(transition.input(), transition);
-  }
-
-  public DFSATransition<T,S> transition(T input) {
-    return inputToTransition.get(input);
-  }
-
-  public Collection<DFSATransition<T,S>> transitions() {
-    return inputToTransition.values();
-  }
-
-  public Set<T> continuingInputs() {
-    return inputToTransition.keySet();
-  }
-
-  public Set<DFSAState<T,S>> successorStates() {
-    Set<DFSAState<T,S>> successors = new HashSet<DFSAState<T,S>>();
-    Collection<DFSATransition<T, S>> transitions = inputToTransition.values();
-    for (DFSATransition<T,S> transition : transitions) {
-      successors.add(transition.getTarget());
-    }
-    return successors;
-  }
-
-  public void setAccepting(boolean accepting) {
-    this.accepting = accepting;
-  }
-
-  public boolean isAccepting() {
-    return accepting;
-  }
-
-  public boolean isContinuable() {
-    return !inputToTransition.isEmpty();
-  }
-
-  @Override
-  public String toString() {
-    return stateID.toString();
-  }
-
-  private int hashCodeCache; // = 0;
-
-  @Override
-  public int hashCode() {
-    if (hashCodeCache == 0) {
-      hashCodeCache = stateID.hashCode() ^ dfsa.hashCode();
-    }
-    return hashCodeCache;
-  }
-
-  // equals
-  @SuppressWarnings("unchecked")
-  @Override
-  public boolean equals(Object o) {
-    if (this == o) {
-      return true;
-    }
-    if (!(o instanceof DFSAState)) {
-      return false;
-    }
-    DFSAState s = (DFSAState) o;
-    // historically also checked: accepting == s.accepting &&
-    //inputToTransition.equals(s.inputToTransition))
-    return dfsa.equals(s.dfsa) && stateID.equals(s.stateID);
-  }
-
-  public Set<DFSAState<T, S>> statesReachable() {
-    Set<DFSAState<T, S>> visited = new HashSet<DFSAState<T, S>>();
-    List<DFSAState<T, S>> toVisit = new ArrayList<DFSAState<T, S>>();
-    toVisit.add(this);
-    exploreStates(toVisit, visited);
-    return visited;
-  }
-
-  private void exploreStates(List<DFSAState<T, S>> toVisit, Set<DFSAState<T, S>> visited) {
-    while (!toVisit.isEmpty()) {
-      DFSAState<T, S> state = toVisit.get(toVisit.size() - 1);
-      toVisit.remove(toVisit.size() - 1);
-      if (!visited.contains(state)) {
-        toVisit.addAll(state.successorStates());
-        visited.add(state);
-      }
-    }
-  }
-
-  public DFSAState(S id, DFSA<T,S> dfsa) {
-    this.dfsa = dfsa;
-    this.stateID = id;
-    this.accepting = false;
-    this.inputToTransition = new HashMap<T,DFSATransition<T,S>>();
-    this.score = Double.NEGATIVE_INFINITY;
-  }
-
-  public DFSAState(S id, DFSA<T,S> dfsa, double score) {
-    this(id,dfsa);
-    setScore(score);
-  }
-
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/fsm/DFSATransition.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/fsm/DFSATransition.java
deleted file mode 100644
index 9f72092..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/fsm/DFSATransition.java
+++ /dev/null
@@ -1,80 +0,0 @@
-package edu.stanford.nlp.fsm;
-
-import edu.stanford.nlp.util.Scored;
-
-/**
- * (D)FSA Transition
- * <p/>
- * Class for representing a transition in a weighted finite state
- * transducer.  For now, just null out fields that may not apply.
- * This should really be FSATransition as there's nothing
- * deterministic-specific.  If FSA is ever made, this should be
- * abstracted.  The ID is a descriptor, not a unique ID.
- *
- * @author Dan Klein
- * @version 12/14/00
- */
-public final class DFSATransition<T,S> implements Scored {
-
-  private Object transitionID;
-  private DFSAState<T,S> source;
-  protected DFSAState<T,S> target; // used directly in DFSAMinimizer (only)
-  private double score;
-  private T input;
-  private Object output;
-
-  public DFSATransition(Object transitionID, DFSAState<T,S> source, DFSAState<T,S> target, T input, Object output, double score) {
-    this.transitionID = transitionID;
-    this.source = source;
-    this.target = target;
-    this.input = input;
-    this.output = output;
-    this.score = score;
-  }
-
-  public DFSAState<T,S> getSource() {
-    return source;
-  }
-
-  public DFSAState<T,S> source() {
-    return source;
-  }
-
-  public DFSAState<T,S> getTarget() {
-    return target;
-  }
-
-  public DFSAState<T,S> target() {
-    return target;
-  }
-
-  public Object getID() {
-    return transitionID;
-  }
-
-  public double score() {
-    return score;
-  }
-
-  public T getInput() {
-    return input;
-  }
-
-  public T input() {
-    return input;
-  }
-
-  public Object getOutput() {
-    return output;
-  }
-
-  public Object output() {
-    return output;
-  }
-
-  @Override
-  public String toString() {
-    return "[" + transitionID + "]" + source + " -" + input + ":" + output + "-> " + target;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/AbstractSequenceClassifier.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/AbstractSequenceClassifier.java
deleted file mode 100644
index 2cb0c86..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/AbstractSequenceClassifier.java
+++ /dev/null
@@ -1,1494 +0,0 @@
-// AbstractSequenceClassifier -- a framework for probabilistic sequence models.
-// Copyright (c) 2002-2008 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    Support/Questions: java-nlp-user@lists.stanford.edu
-//    Licensing: java-nlp-support@lists.stanford.edu
-//    http://nlp.stanford.edu/downloads/crf-classifier.shtml
-
-package edu.stanford.nlp.ie;
-
-import edu.stanford.nlp.fsm.DFSA;
-import edu.stanford.nlp.io.RegExFileFilter;
-import edu.stanford.nlp.ling.CoreAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.*;
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.HasWord;
-import edu.stanford.nlp.ling.CoreAnnotations;
-import edu.stanford.nlp.objectbank.ObjectBank;
-import edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory;
-import edu.stanford.nlp.process.CoreLabelTokenFactory;
-import edu.stanford.nlp.process.CoreTokenFactory;
-import edu.stanford.nlp.sequences.*;
-import edu.stanford.nlp.sequences.FeatureFactory;
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.stats.Counter;
-import edu.stanford.nlp.stats.Counters;
-import edu.stanford.nlp.stats.Sampler;
-import edu.stanford.nlp.util.*;
-
-import java.io.*;
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-import java.util.*;
-import java.util.regex.Pattern;
-import java.util.zip.GZIPInputStream;
-
-/**
- * This class provides common functionality for (probabilistic) sequence models.
- * It is a superclass of our CMM and CRF sequence classifiers, and is even used
- * in the (deterministic) NumberSequenceClassifier. See implementing classes for
- * more information.
- * <p>
- * A full implementation should implement these 5 abstract methods:
- * List&lt;CoreLabel&gt; classify(List&lt;CoreLabel&gt; document); void
- * train(Collection&lt;List&lt;CoreLabel&gt;&gt; docs);
- * printProbsDocument(List&lt;CoreLabel&gt; document); void
- * serializeClassifier(String serializePath); void
- * loadClassifier(ObjectInputStream in, Properties props) throws IOException,
- * ClassCastException, ClassNotFoundException; but a runtime (or rule-based)
- * implementation can usefully implement just the first.
- *
- * @author Jenny Finkel
- * @author Dan Klein
- * @author Christopher Manning
- * @author Dan Cer
- * @author sonalg (made the class generic)
- */
-public abstract class AbstractSequenceClassifier<IN extends CoreMap> implements Function<String, String> {
-
-  public SeqClassifierFlags flags;
-  public Index<String> classIndex; // = null;
-  public FeatureFactory<IN> featureFactory;
-  protected IN pad;
-  private CoreTokenFactory<IN> tokenFactory;
-  protected int windowSize;
-  // different threads can add or query knownLCWords at the same time,
-  // so we need a concurrent data structure
-  protected Set<String> knownLCWords = new ConcurrentHashSet<String>();
-
-  /**
-   * Construct a SeqClassifierFlags object based on the passed in properties,
-   * and then call the other constructor.
-   *
-   * @param props
-   *          See SeqClassifierFlags for known properties.
-   */
-  public AbstractSequenceClassifier(Properties props) {
-    this(new SeqClassifierFlags(props));
-  }
-
-  /**
-   * Initialize the featureFactory and other variables based on the passed in
-   * flags.
-   *
-   * @param flags
-   *          A specification of the AbstractSequenceClassifier to construct.
-   */
-  public AbstractSequenceClassifier(SeqClassifierFlags flags) {
-    this.flags = flags;
-
-    try {
-      this.featureFactory = (FeatureFactory) Class.forName(flags.featureFactory).newInstance();
-      if (flags.tokenFactory == null)
-        tokenFactory = (CoreTokenFactory<IN>) new CoreLabelTokenFactory();
-      else
-        this.tokenFactory = (CoreTokenFactory<IN>) Class.forName(flags.tokenFactory).newInstance();
-    } catch (Exception e) {
-      throw new RuntimeException(e);
-    }
-    pad = tokenFactory.makeToken();
-    windowSize = flags.maxLeft + 1;
-    reinit();
-  }
-
-  /**
-   * This method should be called after there have been changes to the flags
-   * (SeqClassifierFlags) variable, such as after deserializing a classifier. It
-   * is called inside the loadClassifier methods. It assumes that the flags
-   * variable and the pad variable exist, but reinitializes things like the pad
-   * variable, featureFactory and readerAndWriter based on the flags.
-   * <p>
-   * <i>Implementation note:</i> At the moment this variable doesn't set
-   * windowSize or featureFactory, since they are being serialized separately in
-   * the file, but we should probably stop serializing them and just
-   * reinitialize them from the flags?
-   */
-  protected final void reinit() {
-    pad.set(AnswerAnnotation.class, flags.backgroundSymbol);
-    pad.set(GoldAnswerAnnotation.class, flags.backgroundSymbol);
-
-    featureFactory.init(flags);
-
-  }
-
-  public DocumentReaderAndWriter
-  makeReaderAndWriter() {
-    DocumentReaderAndWriter readerAndWriter;
-    try {
-      readerAndWriter = ((DocumentReaderAndWriter)
-                         Class.forName(flags.readerAndWriter).newInstance());
-    } catch (Exception e) {
-      throw new RuntimeException(e);
-    }
-    readerAndWriter.init(flags);
-    return readerAndWriter;
-  }
-
-  /**
-   * Returns the background class for the classifier.
-   *
-   * @return The background class name
-   */
-  public String backgroundSymbol() {
-    return flags.backgroundSymbol;
-  }
-
-  public Set<String> labels() {
-    return new HashSet<String>(classIndex.objectsList());
-  }
-
-  /**
-   * Classify a List of IN. This method returns a new list of tokens, not
-   * the list of tokens passed in, and runs the new tokens through
-   * ObjectBankWrapper.  (Both these behaviors are different from that of the
-   * classify(List) method.
-   *
-   * @param sentence The List of IN to be classified.
-   * @return The classified List of IN, where the classifier output for
-   *         each token is stored in its {@link AnswerAnnotation} field.
-   */
-  public List<IN> classifySentence(List<? extends HasWord> sentence) {
-    List<IN> document = new ArrayList<IN>();
-    int i = 0;
-    for (HasWord word : sentence) {
-      IN wi = null;
-      if (word instanceof CoreMap) {
-        // copy all annotations! some are required later in
-        // AbstractSequenceClassifier.classifyWithInlineXML
-        // wi = (IN) new ArrayCoreMap((ArrayCoreMap) word);
-        wi = tokenFactory.makeToken((IN) word);
-      } else {
-        wi = tokenFactory.makeToken();
-        wi.set(CoreAnnotations.TextAnnotation.class, word.word());
-        // wi.setWord(word.word());
-      }
-      wi.set(PositionAnnotation.class, Integer.toString(i));
-      wi.set(AnswerAnnotation.class, backgroundSymbol());
-      document.add(wi);
-      i++;
-    }
-
-    // TODO get rid of objectbankwrapper
-    ObjectBankWrapper<IN> wrapper = new ObjectBankWrapper<IN>(flags, null, knownLCWords);
-    wrapper.processDocument(document);
-
-    classify(document);
-
-    return document;
-  }
-
-  /**
-   * Classify a List of IN using whatever additional information is passed in globalInfo.
-   * Used by SUTime (NumberSequenceClassifier), which requires the doc date to resolve relative dates
-   *
-   * @param tokenSequence
-   *          The List of IN to be classified.
-   * @return The classified List of IN, where the classifier output for
-   *         each token is stored in its "answer" field.
-   */
-  public List<IN> classifySentenceWithGlobalInformation(List<? extends HasWord> tokenSequence, final CoreMap doc, final CoreMap sentence) {
-    List<IN> document = new ArrayList<IN>();
-    int i = 0;
-    for (HasWord word : tokenSequence) {
-      IN wi = null;
-      if (word instanceof CoreMap) {
-        // copy all annotations! some are required later in
-        // AbstractSequenceClassifier.classifyWithInlineXML
-        // wi = (IN) new ArrayCoreMap((ArrayCoreMap) word);
-        wi = tokenFactory.makeToken((IN) word);
-      } else {
-        wi = tokenFactory.makeToken();
-        wi.set(CoreAnnotations.TextAnnotation.class, word.word());
-        // wi.setWord(word.word());
-      }
-      wi.set(PositionAnnotation.class, Integer.toString(i));
-      wi.set(AnswerAnnotation.class, backgroundSymbol());
-      document.add(wi);
-      i++;
-    }
-
-    // TODO get rid of objectbankwrapper
-    ObjectBankWrapper<IN> wrapper = new ObjectBankWrapper<IN>(flags, null, knownLCWords);
-    wrapper.processDocument(document);
-
-    classifyWithGlobalInformation(document, doc, sentence);
-
-    return document;
-  }
-
-  public SequenceModel getSequenceModel(List<IN> doc) {
-    throw new UnsupportedOperationException();
-  }
-
-  public Sampler<List<IN>> getSampler(final List<IN> input) {
-    return new Sampler<List<IN>>() {
-      SequenceModel model = getSequenceModel(input);
-      SequenceSampler sampler = new SequenceSampler();
-
-      public List<IN> drawSample() {
-        int[] sampleArray = sampler.bestSequence(model);
-        List<IN> sample = new ArrayList<IN>();
-        int i = 0;
-        for (IN word : input) {
-
-          IN newWord = tokenFactory.makeToken(word);
-          newWord.set(AnswerAnnotation.class, classIndex.get(sampleArray[i++]));
-          sample.add(newWord);
-        }
-        return sample;
-      }
-    };
-  }
-
-  public Counter<List<IN>> classifyKBest(List<IN> doc, Class<? extends CoreAnnotation<String>> answerField, int k) {
-
-    if (doc.isEmpty()) {
-      return new ClassicCounter<List<IN>>();
-    }
-
-    // TODO get rid of ObjectBankWrapper
-    // i'm sorry that this is so hideous - JRF
-    ObjectBankWrapper<IN> obw = new ObjectBankWrapper<IN>(flags, null, knownLCWords);
-    doc = obw.processDocument(doc);
-
-    SequenceModel model = getSequenceModel(doc);
-
-    KBestSequenceFinder tagInference = new KBestSequenceFinder();
-    Counter<int[]> bestSequences = tagInference.kBestSequences(model, k);
-
-    Counter<List<IN>> kBest = new ClassicCounter<List<IN>>();
-
-    for (int[] seq : bestSequences.keySet()) {
-      List<IN> kth = new ArrayList<IN>();
-      int pos = model.leftWindow();
-      for (IN fi : doc) {
-        IN newFL = tokenFactory.makeToken(fi);
-        String guess = classIndex.get(seq[pos]);
-        fi.remove(AnswerAnnotation.class); // because fake answers will get
-                                           // added during testing
-        newFL.set(answerField, guess);
-        pos++;
-        kth.add(newFL);
-      }
-      kBest.setCount(kth, bestSequences.getCount(seq));
-    }
-
-    return kBest;
-  }
-
-  public DFSA<String, Integer> getViterbiSearchGraph(List<IN> doc, Class<? extends CoreAnnotation<String>> answerField) {
-    if (doc.isEmpty()) {
-      return new DFSA<String, Integer>(null);
-    }
-    // TODO get rid of objectbankwrapper
-    ObjectBankWrapper<IN> obw = new ObjectBankWrapper<IN>(flags, null, knownLCWords);
-    doc = obw.processDocument(doc);
-    SequenceModel model = getSequenceModel(doc);
-    return ViterbiSearchGraphBuilder.getGraph(model, classIndex);
-  }
-
-  /**
-   * Classify the tokens in a String. Each sentence becomes a separate document.
-   *
-   * @param str
-   *          A String with tokens in one or more sentences of text to be
-   *          classified.
-   * @return {@link List} of classified sentences (each a List of something that
-   *         extends {@link CoreMap}).
-   */
-  public List<List<IN>> classify(String str) {
-    DocumentReaderAndWriter<IN> readerAndWriter =
-      new PlainTextDocumentReaderAndWriter<IN>();
-    readerAndWriter.init(flags);
-    ObjectBank<List<IN>> documents =
-      makeObjectBankFromString(str, readerAndWriter);
-    List<List<IN>> result = new ArrayList<List<IN>>();
-
-    for (List<IN> document : documents) {
-      classify(document);
-
-      List<IN> sentence = new ArrayList<IN>();
-      for (IN wi : document) {
-        // TaggedWord word = new TaggedWord(wi.word(), wi.answer());
-        // sentence.add(word);
-        sentence.add(wi);
-      }
-      result.add(sentence);
-    }
-    return result;
-  }
-
-  /**
-   * Classify the tokens in a String. Each sentence becomes a separate document.
-   * Doesn't override default readerAndWriter.
-   *
-   * @param str
-   *          A String with tokens in one or more sentences of text to be
-   *          classified.
-   * @return {@link List} of classified sentences (each a List of something that
-   *         extends {@link CoreMap}).
-   */
-  public List<List<IN>> classifyRaw(String str,
-                                    DocumentReaderAndWriter readerAndWriter) {
-    ObjectBank<List<IN>> documents =
-      makeObjectBankFromString(str, readerAndWriter);
-    List<List<IN>> result = new ArrayList<List<IN>>();
-
-    for (List<IN> document : documents) {
-      classify(document);
-
-      List<IN> sentence = new ArrayList<IN>();
-      for (IN wi : document) {
-        // TaggedWord word = new TaggedWord(wi.word(), wi.answer());
-        // sentence.add(word);
-        sentence.add(wi);
-      }
-      result.add(sentence);
-    }
-    return result;
-  }
-
-  /**
-   * Classify the contents of a file.
-   *
-   * @param filename
-   *          Contains the sentence(s) to be classified.
-   * @return {@link List} of classified List of IN.
-   */
-  public List<List<IN>> classifyFile(String filename) {
-    DocumentReaderAndWriter<IN> readerAndWriter =
-      new PlainTextDocumentReaderAndWriter<IN>();
-    readerAndWriter.init(flags);
-    ObjectBank<List<IN>> documents =
-      makeObjectBankFromFile(filename, readerAndWriter);
-    List<List<IN>> result = new ArrayList<List<IN>>();
-
-    for (List<IN> document : documents) {
-      // System.err.println(document);
-      classify(document);
-
-      List<IN> sentence = new ArrayList<IN>();
-      for (IN wi : document) {
-        sentence.add(wi);
-        // System.err.println(wi);
-      }
-      result.add(sentence);
-    }
-    return result;
-  }
-
-  /**
-   * Maps a String input to an XML-formatted rendition of applying NER to the
-   * String. Implements the Function interface. Calls
-   * classifyWithInlineXML(String) [q.v.].
-   */
-  public String apply(String in) {
-    return classifyWithInlineXML(in);
-  }
-
-  /**
-   * Classify the contents of a {@link String} to one of several String
-   * representations that shows the classes. Plain text or XML input is expected
-   * and the {@link PlainTextDocumentReaderAndWriter} is used. The classifier
-   * will tokenize the text and treat each sentence as a separate document. The
-   * output can be specified to be in a choice of three formats: slashTags
-   * (e.g., Bill/PERSON Smith/PERSON died/O ./O), inlineXML (e.g.,
-   * &lt;PERSON&gt;Bill Smith&lt;/PERSON&gt; went to
-   * &lt;LOCATION&gt;Paris&lt;/LOCATION&gt; .), or xml, for stand-off XML (e.g.,
-   * &lt;wi num="0" entity="PERSON"&gt;Sue&lt;/wi&gt; &lt;wi num="1"
-   * entity="O"&gt;shouted&lt;/wi&gt; ). There is also a binary choice as to
-   * whether the spacing between tokens of the original is preserved or whether
-   * the (tagged) tokens are printed with a single space (for inlineXML or
-   * slashTags) or a single newline (for xml) between each one.
-   * <p>
-   * <i>Fine points:</i> The slashTags and xml formats show tokens as
-   * transformed by any normalization processes inside the tokenizer, while
-   * inlineXML shows the tokens exactly as they appeared in the source text.
-   * When a period counts as both part of an abbreviation and as an end of
-   * sentence marker, it is included twice in the output String for slashTags or
-   * xml, but only once for inlineXML, where it is not counted as part of the
-   * abbreviation (or any named entity it is part of). For slashTags with
-   * preserveSpacing=true, there will be two successive periods such as "Jr.."
-   * The tokenized (preserveSpacing=false) output will have a space or a newline
-   * after the last token.
-   *
-   * @param sentences
-   *          The String to be classified. It will be tokenized and
-   *          divided into documents according to (heuristically
-   *          determined) sentence boundaries.
-   * @param outputFormat
-   *          The format to put the output in: one of "slashTags", "xml", or
-   *          "inlineXML"
-   * @param preserveSpacing
-   *          Whether to preserve the input spacing between tokens, which may
-   *          sometimes be none (true) or whether to tokenize the text and print
-   *          it with one space between each token (false)
-   * @return A {@link String} with annotated with classification information.
-   */
-  public String classifyToString(String sentences, String outputFormat, boolean preserveSpacing) {
-    PlainTextDocumentReaderAndWriter.OutputStyle outFormat =
-      PlainTextDocumentReaderAndWriter.OutputStyle.fromShortName(outputFormat);
-
-    PlainTextDocumentReaderAndWriter<IN> readerAndWriter =
-      new PlainTextDocumentReaderAndWriter<IN>();
-    readerAndWriter.init(flags);
-
-    ObjectBank<List<IN>> documents =
-      makeObjectBankFromString(sentences, readerAndWriter);
-
-    StringBuilder sb = new StringBuilder();
-    for (List<IN> doc : documents) {
-      List<IN> docOutput = classify(doc);
-      sb.append(readerAndWriter.getAnswers(docOutput, outFormat,
-                                           preserveSpacing));
-    }
-    return sb.toString();
-  }
-
-  /**
-   * Classify the contents of a {@link String}. Plain text or XML is expected
-   * and the {@link PlainTextDocumentReaderAndWriter} is used. The classifier
-   * will treat each sentence as a separate document. The output can be
-   * specified to be in a choice of formats: Output is in inline XML format
-   * (e.g. &lt;PERSON&gt;Bill Smith&lt;/PERSON&gt; went to
-   * &lt;LOCATION&gt;Paris&lt;/LOCATION&gt; .)
-   *
-   * @param sentences
-   *          The string to be classified
-   * @return A {@link String} with annotated with classification information.
-   */
-  public String classifyWithInlineXML(String sentences) {
-    return classifyToString(sentences, "inlineXML", true);
-  }
-
-  /**
-   * Classify the contents of a String to a tagged word/class String. Plain text
-   * or XML input is expected and the {@link PlainTextDocumentReaderAndWriter}
-   * is used. Output looks like: My/O name/O is/O Bill/PERSON Smith/PERSON ./O
-   *
-   * @param sentences
-   *          The String to be classified
-   * @return A String annotated with classification information.
-   */
-  public String classifyToString(String sentences) {
-    return classifyToString(sentences, "slashTags", true);
-  }
-
-  /**
-   * Classify the contents of a {@link String} to classified character offset
-   * spans. Plain text or XML input text is expected and the
-   * {@link PlainTextDocumentReaderAndWriter} is used. Output is a (possibly
-   * empty, but not <code>null</code>) List of Triples. Each Triple is an entity
-   * name, followed by beginning and ending character offsets in the original
-   * String. Character offsets can be thought of as fenceposts between the
-   * characters, or, like certain methods in the Java String class, as character
-   * positions, numbered starting from 0, with the end index pointing to the
-   * position AFTER the entity ends. That is, end - start is the length of the
-   * entity in characters.
-   * <p>
-   * <i>Fine points:</i> Token offsets are true wrt the source text, even though
-   * the tokenizer may internally normalize certain tokens to String
-   * representations of different lengths (e.g., " becoming `` or ''). When a
-   * period counts as both part of an abbreviation and as an end of sentence
-   * marker, and that abbreviation is part of a named entity, the reported
-   * entity string excludes the period.
-   *
-   * @param sentences
-   *          The string to be classified
-   * @return A {@link List} of {@link Triple}s, each of which gives an entity
-   *         type and the beginning and ending character offsets.
-   */
-  public List<Triple<String, Integer, Integer>> classifyToCharacterOffsets(String sentences) {
-    DocumentReaderAndWriter<IN> readerAndWriter =
-      new PlainTextDocumentReaderAndWriter<IN>();
-    readerAndWriter.init(flags);
-    ObjectBank<List<IN>> documents =
-      makeObjectBankFromString(sentences, readerAndWriter);
-
-    List<Triple<String, Integer, Integer>> entities =
-      new ArrayList<Triple<String, Integer, Integer>>();
-    for (List<IN> doc : documents) {
-      String prevEntityType = flags.backgroundSymbol;
-      Triple<String, Integer, Integer> prevEntity = null;
-
-      classify(doc);
-
-      for (IN fl : doc) {
-        String guessedAnswer = fl.get(AnswerAnnotation.class);
-        if (guessedAnswer.equals(flags.backgroundSymbol)) {
-          if (prevEntity != null) {
-            entities.add(prevEntity);
-            prevEntity = null;
-          }
-        } else {
-          if (!guessedAnswer.equals(prevEntityType)) {
-            if (prevEntity != null) {
-              entities.add(prevEntity);
-            }
-            prevEntity = new Triple<String, Integer, Integer>(guessedAnswer, fl
-                .get(CharacterOffsetBeginAnnotation.class), fl.get(CharacterOffsetEndAnnotation.class));
-          } else {
-            assert prevEntity != null; // if you read the code carefully, this
-                                       // should always be true!
-            prevEntity.setThird(fl.get(CharacterOffsetEndAnnotation.class));
-          }
-        }
-        prevEntityType = guessedAnswer;
-      }
-
-      // include any entity at end of doc
-      if (prevEntity != null) {
-        entities.add(prevEntity);
-      }
-
-    }
-    return entities;
-  }
-
-  /**
-   * ONLY USE IF LOADED A CHINESE WORD SEGMENTER!!!!!
-   *
-   * @param sentence
-   *          The string to be classified
-   * @return List of words
-   */
-  public List<String> segmentString(String sentence) {
-    // TODO: creating this object is annoying, is there any good way
-    // around it?  Why can't we just use a
-    // PlainTextDocumentReaderAndWriter?
-    return segmentString(sentence, makeReaderAndWriter());
-  }
-
-  public List<String> segmentString(String sentence,
-                                    DocumentReaderAndWriter<IN> readerAndWriter) {
-    ObjectBank<List<IN>> docs = makeObjectBankFromString(sentence,
-                                                         readerAndWriter);
-
-    StringWriter stringWriter = new StringWriter();
-    PrintWriter stringPrintWriter = new PrintWriter(stringWriter);
-    for (List<IN> doc : docs) {
-      classify(doc);
-      readerAndWriter.printAnswers(doc, stringPrintWriter);
-      stringPrintWriter.println();
-    }
-    stringPrintWriter.close();
-    String segmented = stringWriter.toString();
-
-    return Arrays.asList(segmented.split("\\s"));
-  }
-
-  /**
-   * Classify the contents of {@link SeqClassifierFlags scf.testFile}. The file
-   * should be in the format expected based on {@link SeqClassifierFlags
-   * scf.documentReader}.
-   *
-   * @return A {@link List} of {@link List}s of classified something that
-   *         extends {@link CoreMap} where each {@link List} refers to a
-   *         document/sentence.
-   */
-  // public ObjectBank<List<IN>> test() {
-  // return test(flags.testFile);
-  // }
-
-  /**
-   * Classify the contents of a file. The file should be in the format expected
-   * based on {@link SeqClassifierFlags scf.documentReader} if the file is
-   * specified in {@link SeqClassifierFlags scf.testFile}. If the file being
-   * read is from {@link SeqClassifierFlags scf.textFile} then the
-   * {@link PlainTextDocumentReaderAndWriter} is used.
-   *
-   * @param filename
-   *          The path to the specified file
-   * @return A {@link List} of {@link List}s of classified {@link IN}s where
-   *         each {@link List} refers to a document/sentence.
-   */
-  // public ObjectBank<List<IN>> test(String filename) {
-  // // only for the OCR data does this matter
-  // flags.ocrTrain = false;
-
-  // ObjectBank<List<IN>> docs = makeObjectBank(filename);
-  // return testDocuments(docs);
-  // }
-
-  /**
-   * Classify a {@link List} of something that extends{@link CoreMap}.
-   * The classifications are added in place to the items of the document,
-   * which is also returned by this method
-   *
-   * @param document A {@link List} of something that extends {@link CoreMap}.
-   * @return The same {@link List}, but with the elements annotated with their
-   *         answers (stored under the {@link AnswerAnnotation} key).
-   */
-  public abstract List<IN> classify(List<IN> document);
-
-  /**
-   * Classify a {@link List} of something that extends{@link CoreMap} using as additional information whatever is stored in globalInfo.
-   * This needed for SUTime (NumberSequenceClassifier), which requires the document date to resolve relative dates
-   * @param document
-   * @param globalInfo
-   * @return
-   */
-  public abstract List<IN> classifyWithGlobalInformation(List<IN> tokenSequence, final CoreMap document, final CoreMap sentence);
-
-  /**
-   * Train the classifier based on values in flags. It will use the first of
-   * these variables that is defined: trainFiles (and baseTrainDir),
-   * trainFileList, trainFile.
-   */
-  public void train() {
-    if (flags.trainFiles != null) {
-      train(flags.baseTrainDir, flags.trainFiles, makeReaderAndWriter());
-    } else if (flags.trainFileList != null) {
-      String[] files = flags.trainFileList.split(",");
-      train(files, makeReaderAndWriter());
-    } else {
-      train(flags.trainFile, makeReaderAndWriter());
-    }
-  }
-
-  public void train(String filename) {
-    train(filename, makeReaderAndWriter());
-  }
-
-  public void train(String filename,
-                    DocumentReaderAndWriter readerAndWriter) {
-    // only for the OCR data does this matter
-    flags.ocrTrain = true;
-    train(makeObjectBankFromFile(filename, readerAndWriter), readerAndWriter);
-  }
-
-  public void train(String baseTrainDir, String trainFiles,
-                    DocumentReaderAndWriter readerAndWriter) {
-    // only for the OCR data does this matter
-    flags.ocrTrain = true;
-    train(makeObjectBankFromFiles(baseTrainDir, trainFiles, readerAndWriter),
-          readerAndWriter);
-  }
-
-  public void train(String[] trainFileList,
-                    DocumentReaderAndWriter readerAndWriter) {
-    // only for the OCR data does this matter
-    flags.ocrTrain = true;
-    train(makeObjectBankFromFiles(trainFileList, readerAndWriter),
-          readerAndWriter);
-  }
-
-  /**
-   * Trains a classifier from a Collection of sequences.
-   * Note that the Collection can be (and usually is) an ObjectBank.
-   *
-   * @param docs
-   *          An Objectbank or a collection of sequences of IN
-   */
-  public void train(Collection<List<IN>> docs) {
-    train(docs, makeReaderAndWriter());
-  }
-
-  /**
-   * Trains a classifier from a Collection of sequences.
-   * Note that the Collection can be (and usually is) an ObjectBank.
-   *
-   * @param docs
-   *          An Objectbank or a collection of sequences of IN
-   * @param readerAndWriter
-   *          A DocumentReaderAndWriter to use when loading test files
-   */
-  public abstract void train(Collection<List<IN>> docs,
-                             DocumentReaderAndWriter readerAndWriter);
-
-  /**
-   * Reads a String into an ObjectBank object. NOTE: that the current
-   * implementation of ReaderIteratorFactory will first try to interpret each
-   * string as a filename, so this method will yield unwanted results if it
-   * applies to a string that is at the same time a filename. It prints out a
-   * warning, at least.
-   *
-   * @param string
-   *          The String which will be the content of the ObjectBank
-   * @return The ObjectBank
-   */
-  public ObjectBank<List<IN>>
-    makeObjectBankFromString(String string,
-                             DocumentReaderAndWriter readerAndWriter)
-  {
-    if (flags.announceObjectBankEntries) {
-      System.err.print("Reading data using ");
-      System.err.println(flags.readerAndWriter);
-
-      if (flags.inputEncoding == null) {
-        System.err.println("Getting data from " + string + " (default encoding)");
-      } else {
-        System.err.println("Getting data from " + string + " (" + flags.inputEncoding + " encoding)");
-      }
-    }
-    // return new ObjectBank<List<IN>>(new
-    // ResettableReaderIteratorFactory(string), readerAndWriter);
-    // TODO
-    return new ObjectBankWrapper<IN>(flags, new ObjectBank<List<IN>>(new ResettableReaderIteratorFactory(string),
-        readerAndWriter), knownLCWords);
-  }
-
-  public ObjectBank<List<IN>> makeObjectBankFromFile(String filename,
-                                                     DocumentReaderAndWriter readerAndWriter) {
-    String[] fileAsArray = { filename };
-    return makeObjectBankFromFiles(fileAsArray, readerAndWriter);
-  }
-
-  public ObjectBank<List<IN>> makeObjectBankFromFiles(String[] trainFileList,
-                                                      DocumentReaderAndWriter readerAndWriter) {
-    // try{
-    Collection<File> files = new ArrayList<File>();
-    for (String trainFile : trainFileList) {
-      File f = new File(trainFile);
-      files.add(f);
-    }
-    // System.err.printf("trainFileList contains %d file%s.\n", files.size(),
-    // files.size() == 1 ? "": "s");
-    // TODO get rid of objectbankwrapper
-    // return new ObjectBank<List<IN>>(new
-    // ResettableReaderIteratorFactory(files), readerAndWriter);
-    return new ObjectBankWrapper<IN>(flags, new ObjectBank<List<IN>>(new ResettableReaderIteratorFactory(files, flags.inputEncoding),
-        readerAndWriter), knownLCWords);
-    // } catch (IOException e) {
-    // throw new RuntimeException(e);
-    // }
-  }
-
-  public ObjectBank<List<IN>> makeObjectBankFromFiles(String baseDir, String filePattern, DocumentReaderAndWriter readerAndWriter) {
-
-    File path = new File(baseDir);
-    FileFilter filter = new RegExFileFilter(Pattern.compile(filePattern));
-    File[] origFiles = path.listFiles(filter);
-    Collection<File> files = new ArrayList<File>();
-    for (File file : origFiles) {
-      if (file.isFile()) {
-        if (flags.announceObjectBankEntries) {
-          System.err.println("Getting data from " + file + " (" + flags.inputEncoding + " encoding)");
-        }
-        files.add(file);
-      }
-    }
-
-    if (files.isEmpty()) {
-      throw new RuntimeException("No matching files: " + baseDir + '\t' + filePattern);
-    }
-    // return new ObjectBank<List<IN>>(new
-    // ResettableReaderIteratorFactory(files, flags.inputEncoding),
-    // readerAndWriter);
-    // TODO get rid of objectbankwrapper
-    return new ObjectBankWrapper<IN>(flags, new ObjectBank<List<IN>>(new ResettableReaderIteratorFactory(files,
-        flags.inputEncoding), readerAndWriter), knownLCWords);
-  }
-
-  public ObjectBank<List<IN>> makeObjectBankFromFiles(Collection<File> files,
-                                                      DocumentReaderAndWriter readerAndWriter) {
-    if (files.isEmpty()) {
-      throw new RuntimeException("Attempt to make ObjectBank with empty file list");
-    }
-    // return new ObjectBank<List<IN>>(new
-    // ResettableReaderIteratorFactory(files, flags.inputEncoding),
-    // readerAndWriter);
-    // TODO get rid of objectbankwrapper
-    return new ObjectBankWrapper<IN>(flags, new ObjectBank<List<IN>>(new ResettableReaderIteratorFactory(files,
-        flags.inputEncoding), readerAndWriter), knownLCWords);
-  }
-
-  /**
-   * Set up an ObjectBank that will allow one to iterate over a collection of
-   * documents obtained from the passed in Reader. Each document will be
-   * represented as a list of IN. If the ObjectBank iterator() is called until
-   * hasNext() returns false, then the Reader will be read till end of file, but
-   * no reading is done at the time of this call. Reading is done using the
-   * reading method specified in <code>flags.documentReader</code>, and for some
-   * reader choices, the column mapping given in <code>flags.map</code>.
-   *
-   * @param in
-   *          Input data addNEWLCWords do we add new lowercase words from this
-   *          data to the word shape classifier
-   * @return The list of documents
-   */
-  public ObjectBank<List<IN>> makeObjectBankFromReader(BufferedReader in,
-                                                       DocumentReaderAndWriter readerAndWriter) {
-    if (flags.announceObjectBankEntries) {
-      System.err.println("Reading data using " + readerAndWriter.getClass());
-    }
-    // TODO get rid of objectbankwrapper
-    // return new ObjectBank<List<IN>>(new ResettableReaderIteratorFactory(in),
-    // readerAndWriter);
-    return new ObjectBankWrapper<IN>(flags, new ObjectBank<List<IN>>(new ResettableReaderIteratorFactory(in),
-        readerAndWriter), knownLCWords);
-  }
-
-  /**
-   * Takes the file, reads it in, and prints out the likelihood of each possible
-   * label at each point.
-   *
-   * @param filename
-   *          The path to the specified file
-   */
-  public void printProbs(String filename,
-                         DocumentReaderAndWriter readerAndWriter) {
-    // only for the OCR data does this matter
-    flags.ocrTrain = false;
-
-    ObjectBank<List<IN>> docs =
-      makeObjectBankFromFile(filename, readerAndWriter);
-    printProbsDocuments(docs);
-  }
-
-  /**
-   * Takes a {@link List} of documents and prints the likelihood of each
-   * possible label at each point.
-   *
-   * @param documents
-   *          A {@link List} of {@link List} of something that extends
-   *          {@link CoreMap}.
-   */
-  public void printProbsDocuments(ObjectBank<List<IN>> documents) {
-    for (List<IN> doc : documents) {
-      printProbsDocument(doc);
-      System.out.println();
-    }
-  }
-
-  public abstract void printProbsDocument(List<IN> document);
-
-  /**
-   * Load a test file, run the classifier on it, and then print the answers to
-   * stdout (with timing to stderr). This uses the value of flags.documentReader
-   * to determine testFile format.
-   *
-   * @param testFile
-   *          The file to test on.
-   */
-  public void classifyAndWriteAnswers(String testFile,
-                                      DocumentReaderAndWriter readerWriter)
-    throws IOException
-  {
-    ObjectBank<List<IN>> documents =
-      makeObjectBankFromFile(testFile, readerWriter);
-    classifyAndWriteAnswers(documents, readerWriter);
-  }
-
-  public void classifyAndWriteAnswers(String testFile, OutputStream outStream,
-                                      DocumentReaderAndWriter readerWriter)
-    throws IOException
-  {
-    ObjectBank<List<IN>> documents =
-      makeObjectBankFromFile(testFile, readerWriter);
-    classifyAndWriteAnswers(documents, outStream, readerWriter);
-  }
-
-  public void classifyAndWriteAnswers(String baseDir, String filePattern,
-                                      DocumentReaderAndWriter readerWriter)
-    throws IOException
-  {
-    ObjectBank<List<IN>> documents =
-      makeObjectBankFromFiles(baseDir, filePattern, readerWriter);
-    classifyAndWriteAnswers(documents, readerWriter);
-  }
-
-  public void classifyAndWriteAnswers(Collection<File> testFiles,
-                                      DocumentReaderAndWriter readerWriter)
-    throws IOException
-  {
-    ObjectBank<List<IN>> documents =
-      makeObjectBankFromFiles(testFiles, readerWriter);
-    classifyAndWriteAnswers(documents, readerWriter);
-  }
-
-  private void classifyAndWriteAnswers(ObjectBank<List<IN>> documents,
-                                       DocumentReaderAndWriter readerWriter)
-    throws IOException
-  {
-    classifyAndWriteAnswers(documents, System.out, readerWriter);
-  }
-
-  public void classifyAndWriteAnswers(ObjectBank<List<IN>> documents,
-                                      OutputStream outStream,
-                                      DocumentReaderAndWriter readerWriter)
-    throws IOException
-  {
-    Timing timer = new Timing();
-
-    Counter<String> entityTP = new ClassicCounter<String>();
-    Counter<String> entityFP = new ClassicCounter<String>();
-    Counter<String> entityFN = new ClassicCounter<String>();
-    boolean resultsCounted = true;
-
-    int numWords = 0;
-    int numDocs = 0;
-    for (List<IN> doc : documents) {
-      classify(doc);
-      numWords += doc.size();
-      writeAnswers(doc, outStream, readerWriter);
-      resultsCounted = (resultsCounted &&
-                        countResults(doc, entityTP, entityFP, entityFN));
-      numDocs++;
-    }
-    long millis = timer.stop();
-    double wordspersec = numWords / (((double) millis) / 1000);
-    NumberFormat nf = new DecimalFormat("0.00"); // easier way!
-    System.err.println(StringUtils.getShortClassName(this) +
-                       " tagged " + numWords + " words in " + numDocs +
-                       " documents at " + nf.format(wordspersec) +
-                       " words per second.");
-    if (resultsCounted) {
-      printResults(entityTP, entityFP, entityFN);
-    }
-  }
-
-  /**
-   * Load a test file, run the classifier on it, and then print the answers to
-   * stdout (with timing to stderr). This uses the value of flags.documentReader
-   * to determine testFile format.
-   *
-   * @param testFile
-   *          The file to test on.
-   */
-  public void classifyAndWriteAnswersKBest(String testFile, int k, DocumentReaderAndWriter readerAndWriter) throws Exception {
-    Timing timer = new Timing();
-    ObjectBank<List<IN>> documents =
-      makeObjectBankFromFile(testFile, readerAndWriter);
-    int numWords = 0;
-    int numSentences = 0;
-
-    for (List<IN> doc : documents) {
-      Counter<List<IN>> kBest = classifyKBest(doc, AnswerAnnotation.class, k);
-      numWords += doc.size();
-      List<List<IN>> sorted = Counters.toSortedList(kBest);
-      int n = 1;
-      for (List<IN> l : sorted) {
-        System.out.println("<sentence id=" + numSentences + " k=" + n + " logProb=" + kBest.getCount(l) + " prob="
-            + Math.exp(kBest.getCount(l)) + '>');
-        writeAnswers(l, System.out, readerAndWriter);
-        System.out.println("</sentence>");
-        n++;
-      }
-      numSentences++;
-    }
-
-    long millis = timer.stop();
-    double wordspersec = numWords / (((double) millis) / 1000);
-    NumberFormat nf = new DecimalFormat("0.00"); // easier way!
-    System.err.println(this.getClass().getName() + " tagged " + numWords + " words in " + numSentences
-        + " documents at " + nf.format(wordspersec) + " words per second.");
-  }
-
-  /**
-   * Load a test file, run the classifier on it, and then write a Viterbi search
-   * graph for each sequence.
-   *
-   * @param testFile
-   *          The file to test on.
-   */
-  public void classifyAndWriteViterbiSearchGraph(String testFile, String searchGraphPrefix, DocumentReaderAndWriter readerAndWriter) throws Exception {
-    Timing timer = new Timing();
-    ObjectBank<List<IN>> documents =
-      makeObjectBankFromFile(testFile, readerAndWriter);
-    int numWords = 0;
-    int numSentences = 0;
-
-    for (List<IN> doc : documents) {
-      DFSA<String, Integer> tagLattice = getViterbiSearchGraph(doc, AnswerAnnotation.class);
-      numWords += doc.size();
-      PrintWriter latticeWriter = new PrintWriter(new FileOutputStream(searchGraphPrefix + '.' + numSentences
-          + ".wlattice"));
-      PrintWriter vsgWriter = new PrintWriter(new FileOutputStream(searchGraphPrefix + '.' + numSentences + ".lattice"));
-      if (readerAndWriter instanceof LatticeWriter)
-        ((LatticeWriter) readerAndWriter).printLattice(tagLattice, doc, latticeWriter);
-      tagLattice.printAttFsmFormat(vsgWriter);
-      latticeWriter.close();
-      vsgWriter.close();
-      numSentences++;
-    }
-
-    long millis = timer.stop();
-    double wordspersec = numWords / (((double) millis) / 1000);
-    NumberFormat nf = new DecimalFormat("0.00"); // easier way!
-    System.err.println(this.getClass().getName() + " tagged " + numWords + " words in " + numSentences
-        + " documents at " + nf.format(wordspersec) + " words per second.");
-  }
-
-  /**
-   * Write the classifications of the Sequence classifier out to stdout in a
-   * format determined by the DocumentReaderAndWriter used. If the flag
-   * <code>outputEncoding</code> is defined, the output is written in that
-   * character encoding, otherwise in the system default character encoding.
-   *
-   * @param doc
-   *          Documents to write out
-   * @param outStream
-   *          outstream to use
-   * @throws IOException
-   *           If an IO problem
-   */
-  public void writeAnswers(List<IN> doc, OutputStream outStream,
-                           DocumentReaderAndWriter readerAndWriter)
-    throws IOException
-  {
-    if (flags.lowerNewgeneThreshold) {
-      return;
-    }
-    if (flags.numRuns <= 1) {
-      PrintWriter out;
-      if (flags.outputEncoding == null) {
-        out = new PrintWriter(outStream, true);
-      } else {
-        out = new PrintWriter(new OutputStreamWriter(outStream, flags.outputEncoding), true);
-      }
-      readerAndWriter.printAnswers(doc, out);
-      // out.println();
-      out.flush();
-    }
-  }
-
-  /**
-   * Count the successes and failures of the model on the given document.
-   * Fills numbers in to counters for true positives, false positives,
-   * and false negatives, and also keeps track of the entities seen.
-   * <br>
-   * Returns false if we ever encounter null for gold or guess.
-   */
-  public boolean countResults(List<IN> doc, Counter<String> entityTP,
-                              Counter<String> entityFP,
-                              Counter<String> entityFN) {
-    int index = 0;
-    int goldIndex = 0, guessIndex = 0;
-    String lastGold = "O", lastGuess = "O";
-
-    // As we go through the document, there are two events we might be
-    // interested in.  One is when a gold entity ends, and the other
-    // is when a guessed entity ends.  If the gold and guessed
-    // entities end at the same time, started at the same time, and
-    // match entity type, we have a true positive.  Otherwise we
-    // either have a false positive or a false negative.
-    for (IN line : doc) {
-      String gold = line.get(GoldAnswerAnnotation.class);
-      String guess = line.get(AnswerAnnotation.class);
-
-      if (gold == null || guess == null)
-        return false;
-
-      if (!lastGold.equals(gold) && !lastGold.equals("O")) {
-        if (lastGuess.equals(lastGold) && !lastGuess.equals(guess) &&
-            goldIndex == guessIndex) {
-          entityTP.incrementCount(lastGold, 1.0);
-        } else {
-          entityFN.incrementCount(lastGold, 1.0);
-        }
-      }
-
-      if (!lastGuess.equals(guess) && !lastGuess.equals("O")) {
-        if (lastGuess.equals(lastGold) && !lastGuess.equals(guess) &&
-            goldIndex == guessIndex && !lastGold.equals(gold)) {
-          // correct guesses already tallied
-          // only need to tally false positives
-        } else {
-          entityFP.incrementCount(lastGuess, 1.0);
-        }
-      }
-
-      if (!lastGold.equals(gold)) {
-        lastGold = gold;
-        goldIndex = index;
-      }
-
-      if (!lastGuess.equals(guess)) {
-        lastGuess = guess;
-        guessIndex = index;
-      }
-      ++index;
-    }
-
-    // We also have to account for entities at the very end of the
-    // document, since the above logic only occurs when we see
-    // something that tells us an entity has ended
-    if (!lastGold.equals("O")) {
-      if (lastGold.equals(lastGuess) && goldIndex == guessIndex) {
-        entityTP.incrementCount(lastGold, 1.0);
-      } else {
-        entityFN.incrementCount(lastGold, 1.0);
-      }
-    }
-    if (!lastGuess.equals("O")) {
-      if (lastGold.equals(lastGuess) && goldIndex == guessIndex) {
-        // correct guesses already tallied
-      } else {
-        entityFP.incrementCount(lastGuess, 1.0);
-      }
-    }
-    return true;
-  }
-
-  /**
-   * Given counters of true positives, false positives, and false
-   * negatives, prints out precision, recall, and f1 for each key.
-   */
-  public void printResults(Counter<String> entityTP, Counter<String> entityFP,
-                           Counter<String> entityFN) {
-    Set<String> entities = new TreeSet<String>();
-    entities.addAll(entityTP.keySet());
-    entities.addAll(entityFP.keySet());
-    entities.addAll(entityFN.keySet());
-    boolean printedHeader = false;
-    for (String entity : entities) {
-      double tp = entityTP.getCount(entity);
-      double fp = entityFP.getCount(entity);
-      double fn = entityFN.getCount(entity);
-      if (tp == 0.0 && (fp == 0.0 || fn == 0.0))
-        continue;
-      double precision = tp / (tp + fp);
-      double recall = tp / (tp + fn);
-      double f1 = ((precision == 0.0 || recall == 0.0) ?
-                   0.0 : 2.0 / (1.0 / precision + 1.0 / recall));
-      if (!printedHeader) {
-        System.err.println("         Entity\tP\tR\tF1\tTP\tFP\tFN");
-        printedHeader = true;
-      }
-      System.err.format("%15s\t%.4f\t%.4f\t%.4f\t%.0f\t%.0f\t%.0f\n",
-                        entity, precision, recall, f1,
-                        tp, fp, fn);
-    }
-  }
-
-  /**
-   * Serialize a sequence classifier to a file on the given path.
-   *
-   * @param serializePath
-   *          The path/filename to write the classifier to.
-   */
-  public abstract void serializeClassifier(String serializePath);
-
-  /**
-   * Loads a classifier from the given input stream. The JVM shuts down
-   * (System.exit(1)) if there is an exception. This does not close the
-   * InputStream.
-   *
-   * @param in
-   *          The InputStream to read from
-   */
-  public void loadClassifierNoExceptions(InputStream in, Properties props) {
-    // load the classifier
-    try {
-      loadClassifier(in, props);
-    } catch (Exception e) {
-      throw new RuntimeException(e);
-    }
-
-  }
-
-  /**
-   * Load a classifier from the specified InputStream. No extra properties are
-   * supplied. This does not close the InputStream.
-   *
-   * @param in
-   *          The InputStream to load the serialized classifier from
-   *
-   * @throws IOException
-   *           If there are problems accessing the input stream
-   * @throws ClassCastException
-   *           If there are problems interpreting the serialized data
-   * @throws ClassNotFoundException
-   *           If there are problems interpreting the serialized data
-   */
-  public void loadClassifier(InputStream in) throws IOException, ClassCastException, ClassNotFoundException {
-    loadClassifier(in, null);
-  }
-
-  /**
-   * Load a classifier from the specified InputStream. The classifier is
-   * reinitialized from the flags serialized in the classifier. This does not
-   * close the InputStream.
-   *
-   * @param in
-   *          The InputStream to load the serialized classifier from
-   * @param props
-   *          This Properties object will be used to update the
-   *          SeqClassifierFlags which are read from the serialized classifier
-   *
-   * @throws IOException
-   *           If there are problems accessing the input stream
-   * @throws ClassCastException
-   *           If there are problems interpreting the serialized data
-   * @throws ClassNotFoundException
-   *           If there are problems interpreting the serialized data
-   */
-  public void loadClassifier(InputStream in, Properties props) throws IOException, ClassCastException,
-      ClassNotFoundException {
-    loadClassifier(new ObjectInputStream(in), props);
-  }
-
-  /**
-   * Load a classifier from the specified input stream. The classifier is
-   * reinitialized from the flags serialized in the classifier.
-   *
-   * @param in
-   *          The InputStream to load the serialized classifier from
-   * @param props
-   *          This Properties object will be used to update the
-   *          SeqClassifierFlags which are read from the serialized classifier
-   *
-   * @throws IOException
-   *           If there are problems accessing the input stream
-   * @throws ClassCastException
-   *           If there are problems interpreting the serialized data
-   * @throws ClassNotFoundException
-   *           If there are problems interpreting the serialized data
-   */
-  public abstract void loadClassifier(ObjectInputStream in, Properties props) throws IOException, ClassCastException,
-      ClassNotFoundException;
-
-  private InputStream loadStreamFromClasspath(String path) {
-    InputStream is = getClass().getClassLoader().getResourceAsStream(path);
-    if (is == null)
-      return null;
-    try {
-      if (path.endsWith(".gz"))
-        is = new GZIPInputStream(new BufferedInputStream(is));
-      else
-        is = new BufferedInputStream(is);
-    } catch (IOException e) {
-      System.err.println("CLASSPATH resource " + path + " is not a GZIP stream!");
-    }
-    return is;
-  }
-
-  /**
-   * Loads a classifier from the file specified by loadPath. If loadPath ends in
-   * .gz, uses a GZIPInputStream, else uses a regular FileInputStream.
-   */
-  public void loadClassifier(String loadPath) throws ClassCastException, IOException, ClassNotFoundException {
-    loadClassifier(loadPath, null);
-  }
-
-  /**
-   * Loads a classifier from the file specified by loadPath. If loadPath ends in
-   * .gz, uses a GZIPInputStream, else uses a regular FileInputStream.
-   */
-  public void loadClassifier(String loadPath, Properties props) throws ClassCastException, IOException, ClassNotFoundException {
-    InputStream is;
-    // ms, 10-04-2010: check first is this path exists in our CLASSPATH. This
-    // takes priority over the file system.
-    if ((is = loadStreamFromClasspath(loadPath)) != null) {
-      Timing.startDoing("Loading classifier from " + loadPath);
-      loadClassifier(is);
-      is.close();
-      Timing.endDoing();
-    } else {
-      loadClassifier(new File(loadPath), props);
-    }
-  }
-
-  public void loadClassifierNoExceptions(String loadPath) {
-    loadClassifierNoExceptions(loadPath, null);
-  }
-
-  public void loadClassifierNoExceptions(String loadPath, Properties props) {
-    InputStream is;
-    // ms, 10-04-2010: check first is this path exists in our CLASSPATH. This
-    // takes priority over the file system.
-    if ((is = loadStreamFromClasspath(loadPath)) != null) {
-      Timing.startDoing("Loading classifier from " + loadPath);
-      loadClassifierNoExceptions(is, props);
-      try {
-        is.close();
-      } catch (IOException e) {
-        throw new RuntimeException(e);
-      }
-      Timing.endDoing();
-    } else {
-      loadClassifierNoExceptions(new File(loadPath), props);
-    }
-  }
-
-  public void loadClassifier(File file) throws ClassCastException, IOException, ClassNotFoundException {
-    loadClassifier(file, null);
-  }
-
-  /**
-   * Loads a classifier from the file specified. If the file's name ends in .gz,
-   * uses a GZIPInputStream, else uses a regular FileInputStream. This method
-   * closes the File when done.
-   *
-   * @param file
-   *          Loads a classifier from this file.
-   * @param props
-   *          Properties in this object will be used to overwrite those
-   *          specified in the serialized classifier
-   *
-   * @throws IOException
-   *           If there are problems accessing the input stream
-   * @throws ClassCastException
-   *           If there are problems interpreting the serialized data
-   * @throws ClassNotFoundException
-   *           If there are problems interpreting the serialized data
-   */
-  public void loadClassifier(File file, Properties props) throws ClassCastException, IOException,
-      ClassNotFoundException {
-    Timing.startDoing("Loading classifier from " + file.getAbsolutePath());
-    BufferedInputStream bis;
-    if (file.getName().endsWith(".gz")) {
-      bis = new BufferedInputStream(new GZIPInputStream(new FileInputStream(file)));
-    } else {
-      bis = new BufferedInputStream(new FileInputStream(file));
-    }
-    loadClassifier(bis, props);
-    bis.close();
-    Timing.endDoing();
-  }
-
-  public void loadClassifierNoExceptions(File file) {
-    loadClassifierNoExceptions(file, null);
-  }
-
-  public void loadClassifierNoExceptions(File file, Properties props) {
-    try {
-      loadClassifier(file, props);
-    } catch (Exception e) {
-      System.err.println("Error deserializing " + file.getAbsolutePath());
-      throw new RuntimeException(e);
-    }
-  }
-
-  /**
-   * This function will load a classifier that is stored inside a jar file (if
-   * it is so stored). The classifier should be specified as its full filename,
-   * but the path in the jar file (<code>/classifiers/</code>) is coded in this
-   * class. If the classifier is not stored in the jar file or this is not run
-   * from inside a jar file, then this function will throw a RuntimeException.
-   *
-   * @param modelName
-   *          The name of the model file. Iff it ends in .gz, then it is assumed
-   *          to be gzip compressed.
-   * @param props
-   *          A Properties object which can override certain properties in the
-   *          serialized file, such as the DocumentReaderAndWriter. You can pass
-   *          in <code>null</code> to override nothing.
-   */
-  public void loadJarClassifier(String modelName, Properties props) {
-    Timing.startDoing("Loading JAR-internal classifier " + modelName);
-    try {
-      InputStream is = getClass().getResourceAsStream(modelName);
-      if (modelName.endsWith(".gz")) {
-        is = new GZIPInputStream(is);
-      }
-      is = new BufferedInputStream(is);
-      loadClassifier(is, props);
-      is.close();
-      Timing.endDoing();
-    } catch (Exception e) {
-      String msg = "Error loading classifier from jar file (most likely you are not running this code from a jar file or the named classifier is not stored in the jar file)";
-      throw new RuntimeException(msg, e);
-    }
-  }
-
-  private transient PrintWriter cliqueWriter;
-  private transient int writtenNum; // = 0;
-
-  /** Print the String features generated from a IN */
-  protected void printFeatures(IN wi, Collection<String> features) {
-    if (flags.printFeatures == null || writtenNum > flags.printFeaturesUpto) {
-      return;
-    }
-    try {
-      if (cliqueWriter == null) {
-        cliqueWriter = new PrintWriter(new FileOutputStream("feats" + flags.printFeatures + ".txt"), true);
-        writtenNum = 0;
-      }
-    } catch (Exception ioe) {
-      throw new RuntimeException(ioe);
-    }
-    if (writtenNum >= flags.printFeaturesUpto) {
-      return;
-    }
-    if (wi instanceof CoreLabel) {
-      cliqueWriter.print(wi.get(TextAnnotation.class) + ' ' + wi.get(PartOfSpeechAnnotation.class) + ' '
-          + wi.get(CoreAnnotations.GoldAnswerAnnotation.class) + '\t');
-    } else {
-      cliqueWriter.print(wi.get(CoreAnnotations.TextAnnotation.class)
-          + wi.get(CoreAnnotations.GoldAnswerAnnotation.class) + '\t');
-    }
-    boolean first = true;
-    for (Object feat : features) {
-      if (first) {
-        first = false;
-      } else {
-        cliqueWriter.print(" ");
-      }
-      cliqueWriter.print(feat);
-    }
-    cliqueWriter.println();
-    writtenNum++;
-  }
-
-  /** Print the String features generated from a token */
-  protected void printFeatureLists(IN wi, Collection<List<String>> features) {
-    if (flags.printFeatures == null || writtenNum > flags.printFeaturesUpto) {
-      return;
-    }
-    try {
-      if (cliqueWriter == null) {
-        cliqueWriter = new PrintWriter(new FileOutputStream("feats" + flags.printFeatures + ".txt"), true);
-        writtenNum = 0;
-      }
-    } catch (Exception ioe) {
-      throw new RuntimeException(ioe);
-    }
-    if (writtenNum >= flags.printFeaturesUpto) {
-      return;
-    }
-    if (wi instanceof CoreLabel) {
-      cliqueWriter.print(wi.get(TextAnnotation.class) + ' ' + wi.get(PartOfSpeechAnnotation.class) + ' '
-          + wi.get(CoreAnnotations.GoldAnswerAnnotation.class) + '\t');
-    } else {
-      cliqueWriter.print(wi.get(CoreAnnotations.TextAnnotation.class)
-          + wi.get(CoreAnnotations.GoldAnswerAnnotation.class) + '\t');
-    }
-    boolean first = true;
-    for (List<String> featList : features) {
-      for (String feat : featList) {
-        if (first) {
-          first = false;
-        } else {
-          cliqueWriter.print(" ");
-        }
-        cliqueWriter.print(feat);
-      }
-      cliqueWriter.print("  ");
-    }
-    cliqueWriter.println();
-    writtenNum++;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/AcquisitionsPrior.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/AcquisitionsPrior.java
deleted file mode 100644
index f5c1080..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/AcquisitionsPrior.java
+++ /dev/null
@@ -1,264 +0,0 @@
-package edu.stanford.nlp.ie;
-
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.StringUtils;
-
-import java.util.Set;
-import java.util.HashSet;
-import java.util.List;
-import java.util.ArrayList;
-
-/**
- * @author Jenny Finkel
- */
-
-public class AcquisitionsPrior<IN extends CoreMap> extends EntityCachingAbstractSequencePrior<IN> {
-
-  double penalty = 4.0;
-  double penalty1 = 3.0;
-  double penalty2 = 4.0;
-
-  public AcquisitionsPrior(String backgroundSymbol, Index<String> classIndex, List<IN> doc) {
-    super(backgroundSymbol, classIndex, doc);
-  }
-
-  public double scoreOf(int[] sequence) {
-
-    Set<String> purchasers = new HashSet<String>();
-    Set<String> purchabrs = new HashSet<String>();
-    Set<String> sellers = new HashSet<String>();
-    Set<String> sellerabrs = new HashSet<String>();
-    Set<String> acquireds = new HashSet<String>();
-    Set<String> acqabrs = new HashSet<String>();
-
-    List<Entity> purchasersL = new ArrayList<Entity>();
-    List<Entity> purchabrsL = new  ArrayList<Entity>();
-    List<Entity> sellersL = new  ArrayList<Entity>();
-    List<Entity> sellerabrsL = new  ArrayList<Entity>();
-    List<Entity> acquiredsL = new  ArrayList<Entity>();
-    List<Entity> acqabrsL = new  ArrayList<Entity>();
-
-    double p = 0.0;
-    for (int i = 0; i < entities.length; i++) {
-      Entity entity = entities[i];
-      if ((i == 0 || entities[i-1] != entity) && entity != null) {
-
-        String type = classIndex.get(entity.type);
-        String phrase = StringUtils.join(entity.words, " ").toLowerCase();
-        if (type.equals("purchaser")) {
-          purchasers.add(phrase);
-          purchasersL.add(entity);
-        } else if (type.equals("purchabr")) {
-          purchabrs.add(phrase);
-          purchabrsL.add(entity);
-        } else if (type.equals("seller")) {
-          sellers.add(phrase);
-          sellersL.add(entity);
-        } else if (type.equals("sellerabr")) {
-          sellerabrs.add(phrase);
-          sellerabrsL.add(entity);
-        } else if (type.equals("acquired")) {
-          acquireds.add(phrase);
-          acquiredsL.add(entity);
-        } else if (type.equals("acqabr")) {
-          acqabrs.add(phrase);
-          acqabrsL.add(entity);
-        } else {
-          System.err.println("unknown entity type: "+type);
-          System.exit(0);
-        }
-      }
-    }
-    
-    for (Entity purchaser : purchasersL) {
-      if (purchasers.size() > 1) {
-        p -= purchaser.words.size() * penalty;
-      }
-      String s = StringUtils.join(purchaser.words, "").toLowerCase();
-      boolean match = false;
-      for (Entity purchabr : purchabrsL) {
-        String s1 = StringUtils.join(purchabr.words, "").toLowerCase();
-        //int dist = StringUtils.longestCommonSubstring(s, s1);          
-        //if (dist > s1.length() - 2) {
-        if (s.indexOf(s1) >= 0) {
-          match = true;
-          break;
-        }
-      }
-      if (!match && purchabrs.size() > 0) {
-        p -= purchaser.words.size() * penalty;
-      }
-    }
-
-    for (Entity seller : sellersL) {
-      if (sellers.size() > 1) {
-        p -= seller.words.size() * penalty;
-      }
-      String s = StringUtils.join(seller.words, "").toLowerCase();
-      boolean match = false;
-      for (Entity sellerabr : sellerabrsL) {
-        String s1 = StringUtils.join(sellerabr.words, "").toLowerCase();
-        //int dist = StringUtils.longestCommonSubstring(s, s1);          
-        //if (dist > s1.length() - 2) {
-        if (s.indexOf(s1) >= 0) {
-          match = true;
-          break;
-        }
-      }
-      if (!match && sellerabrs.size() > 0) {
-        p -= seller.words.size() * penalty;
-      }
-    }
-    
-    for (Entity acquired : acquiredsL) {
-      if (acquireds.size() > 1) {
-        p -= acquired.words.size() * penalty;
-      }
-      String s = StringUtils.join(acquired.words, "").toLowerCase();
-      boolean match = false;
-      for (Entity acqabr : acqabrsL) {
-        String s1 = StringUtils.join(acqabr.words, "").toLowerCase();
-        //int dist = StringUtils.longestCommonSubstring(s, s1);          
-        //if (dist > s1.length() - 2) {
-        if (s.indexOf(s1) >= 0) {
-          match = true;
-          break;
-        }
-      }
-      if (!match && acqabrs.size() > 0) {
-        p -= acquired.words.size() * penalty;
-      }
-    }
-
-    
-    for (Entity purchabr : purchabrsL) {
-      //p -= purchabr.words.size() * penalty;
-      String s = StringUtils.join(purchabr.words, "").toLowerCase();
-      boolean match = false;
-      for (Entity purchaser : purchasersL) {
-        String s1 = StringUtils.join(purchaser.words, "").toLowerCase();
-        //int dist = StringUtils.longestCommonSubstring(s, s1);          
-        //if (dist > s1.length() - 2) {
-        if (s1.indexOf(s) >= 0) {
-          match = true;
-          break;
-        }
-      }
-      if (!match) {
-        p -= purchabr.words.size() * penalty2;
-      }
-      
-      match = false;
-      for (Entity acquired : acquiredsL) {
-        String s1 = StringUtils.join(acquired.words, "").toLowerCase();
-        //int dist = StringUtils.longestCommonSubstring(s, s1);          
-        //if (dist > s.length() - 2) {
-        if (s1.indexOf(s) >= 0) {
-          match = true;
-          break;
-        }
-      }
-      for (Entity seller : sellersL) {
-        String s1 = StringUtils.join(seller.words, "").toLowerCase();
-        //int dist = StringUtils.longestCommonSubstring(s, s1);          
-        //if (dist > s.length() - 2) {
-        if (s1.indexOf(s) >= 0) {
-          match = true;
-          break;
-        }
-      }
-      if (match) {
-        p -= purchabr.words.size() * penalty1;
-      }
-    }
-
-    for (Entity sellerabr : sellerabrsL) {
-      //p -= sellerabr.words.size() * penalty;
-      String s = StringUtils.join(sellerabr.words, "").toLowerCase();
-      boolean match = false;
-      for (Entity seller : sellersL) {
-        String s1 = StringUtils.join(seller.words, "").toLowerCase();
-        //int dist = StringUtils.longestCommonSubstring(s, s1);          
-        //if (dist > s1.length() - 2) {
-        if (s1.indexOf(s) >= 0) {
-          match = true;
-          break;
-        }
-      }
-      if (!match) {
-        p -= sellerabr.words.size() * penalty2;
-      }
-      
-      
-      match = false;
-      for (Entity acquired : acquiredsL) {
-        String s1 = StringUtils.join(acquired.words, "").toLowerCase();
-        //int dist = StringUtils.longestCommonSubstring(s, s1);          
-        //if (dist > s.length() - 2) {
-        if (s1.indexOf(s) >= 0) {
-          match = true;
-          break;
-        }
-      }
-      for (Entity purchaser : purchasersL) {
-        String s1 = StringUtils.join(purchaser.words, "").toLowerCase();
-        //int dist = StringUtils.longestCommonSubstring(s, s1);          
-        //if (dist > s.length() - 2) {
-        if (s1.indexOf(s) >= 0) {
-          match = true;
-          break;
-        }
-      }
-      if (match) {
-        p -= sellerabr.words.size() * penalty1;
-      }
-    }
-
-
-    for (Entity acqabr : acqabrsL) {
-      //p -= acqabr.words.size() * penalty;
-      String s = StringUtils.join(acqabr.words, "").toLowerCase();
-      boolean match = false;
-      for (Entity acquired : acquiredsL) {
-        String s1 = StringUtils.join(acquired.words, "").toLowerCase();
-        //int dist = StringUtils.longestCommonSubstring(s, s1);          
-        //if (dist > s1.length() - 2) {
-        if (s1.indexOf(s) >= 0) {
-          match = true;
-          break;
-        }
-      }
-      if (!match) {
-        p -= acqabr.words.size() * penalty2;
-      }
-      
-      match = false;
-      for (Entity seller : sellersL) {
-        String s1 = StringUtils.join(seller.words, "").toLowerCase();
-        //int dist = StringUtils.longestCommonSubstring(s, s1);          
-        //if (dist > s.length() - 2) {
-        if (s1.indexOf(s) >= 0) {
-          //System.err.println(acqabr.toString(classIndex)+"\n"+seller.toString(classIndex)+"\n");
-          match = true;
-            break;
-        }
-      }
-      for (Entity purchaser : purchasersL) {
-        String s1 = StringUtils.join(purchaser.words, "").toLowerCase();
-        //int dist = StringUtils.longestCommonSubstring(s, s1);          
-        //if (dist > s.length() - 2) {
-        if (s1.indexOf(s) >= 0) {
-          match = true;
-          break;
-        }
-      }
-      if (match) {
-        p -= acqabr.words.size() * penalty1;
-      }
-    }
-
-    return p;
-  }
-  
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/EmpiricalNERPrior.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/EmpiricalNERPrior.java
deleted file mode 100644
index 9736e36..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/EmpiricalNERPrior.java
+++ /dev/null
@@ -1,284 +0,0 @@
-package edu.stanford.nlp.ie;
-
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.ling.CoreLabel;
-
-import java.util.List;
-
-
-/**
- * @author Jenny Finkel
- */
-
-public class EmpiricalNERPrior<IN extends CoreMap> extends EntityCachingAbstractSequencePrior<IN> {
-
-  static final String ORG = "ORGANIZATION";
-  static final String PER = "PERSON";
-  static final String LOC = "LOCATION";
-  static final String MISC = "MISC";
-
-  public EmpiricalNERPrior(String backgroundSymbol, Index<String> classIndex, List<IN> doc) {
-    super(backgroundSymbol, classIndex, doc);
-  }
-  
-  double p1 = -Math.log(0.01);
-
-  double dem1 = 6631.0;
-  double p2 = -Math.log(6436.0 / dem1)/2.0;
-  double p3 = -Math.log(188 / dem1)/2.0;
-  double p4 = -Math.log(4 / dem1)/2.0;
-  double p5 = -Math.log(3 / dem1)/2.0;
-  
-  double dem2 = 3169.0;
-  double p6 = -Math.log(188.0 / dem2)/2.0;
-  double p7 = -Math.log(2975 / dem2)/2.0;
-  double p8 = -Math.log(5 / dem2)/2.0;
-  double p9 = -Math.log(1 / dem2)/2.0;
-
-  double dem3 = 3151.0;
-  double p10 = -Math.log(4.0 / dem3)/2.0;
-  double p11 = -Math.log(5 / dem3)/2.0;
-  double p12 = -Math.log(3141 / dem3)/2.0;
-  double p13 = -Math.log(1 / dem3)/2.0;
-  
-  double dem4 = 2035.0;
-  double p14 = -Math.log(3.0 / dem4)/2.0;
-  double p15 = -Math.log(1 / dem4)/2.0;
-  double p16 = -Math.log(1 / dem4)/2.0;
-  double p17 = -Math.log(2030 / dem4)/2.0;
-  
-  double dem5 = 724.0;
-  double p18 = -Math.log(167.0 / dem5);
-  double p19 = -Math.log(328.0 / dem5);
-  double p20 = -Math.log(5.0 / dem5);
-  double p21 = -Math.log(224.0 / dem5);
-  
-  double dem6 = 834.0;
-  double p22 = -Math.log(6.0 / dem6);
-  double p23 = -Math.log(819.0 / dem6);
-  double p24 = -Math.log(2.0 / dem6);
-  double p25 = -Math.log(7.0 / dem6);
-  
-  double dem7 = 1978.0;
-  double p26 = -Math.log(1.0 / dem7);
-  double p27 = -Math.log(22.0 / dem7);
-  double p28 = -Math.log(1941.0 / dem7);
-  double p29 = -Math.log(14.0 / dem7);
-  
-  double dem8 = 622.0;
-  double p30 = -Math.log(63.0 / dem8);
-  double p31 = -Math.log(191.0 / dem8);
-  double p32 = -Math.log(3.0 / dem8);
-  double p33 = -Math.log(365.0 / dem8);
-
-  public double scoreOf(int[] sequence) {
-    double p = 0.0;
-    for (int i = 0; i < entities.length; i++) {
-      Entity entity = entities[i];
-      //System.err.println(entity);
-      if ((i == 0 || entities[i-1] != entity) && entity != null) {
-        //System.err.println(1);
-        int length = entity.words.size();
-        String tag1 = classIndex.get(entity.type);
-
-        if (tag1.equals(LOC)) { tag1 = LOC; }
-        else if (tag1.equals(ORG)) { tag1 = ORG; }
-        else if (tag1.equals(PER)) { tag1 = PER; }
-        else if (tag1.equals(MISC)) { tag1 = MISC; }
-
-        int[] other = entities[i].otherOccurrences;
-        for (int j = 0; j < other.length; j++) {
-
-          Entity otherEntity = null;
-          for (int k = other[j]; k < other[j]+length && k < entities.length; k++) {
-            otherEntity = entities[k]; 
-            if (otherEntity != null) { 
-//               if (k > other[j]) {
-//                 System.err.println(entity.words+" "+otherEntity.words);
-//               }
-              break;
-            }
-          }
-          // singleton + other instance null?
-          if (otherEntity == null) {
-            //p -= length * Math.log(0.1);
-            //if (entity.words.size() == 1) {
-              //p -= length * p1;
-            //}
-            continue;
-          }
-
-          int oLength = otherEntity.words.size();
-          String tag2 = classIndex.get(otherEntity.type);
-
-          if (tag2.equals(LOC)) { tag2 = LOC; }
-          else if (tag2.equals(ORG)) { tag2 = ORG; }
-          else if (tag2.equals(PER)) { tag2 = PER; }
-          else if (tag2.equals(MISC)) { tag2 = MISC; }
-
-          // exact match??
-          boolean exact = false;
-          int[] oOther = otherEntity.otherOccurrences;
-          for (int k = 0; k < oOther.length; k++) {
-            if (oOther[k] >= i && oOther[k] <= i+length-1) {
-              exact = true;
-              break;
-            }
-          }
-
-          if (exact) {
-            // entity not complete
-            if (length != oLength) {
-              if (tag1 == (tag2)) {// || ((tag1 == LOC && tag2 == ORG) || (tag1 == ORG && tag2 == LOC))) { // ||
-                //p -= Math.abs(oLength - length) * Math.log(0.1);
-                p -= Math.abs(oLength - length) * p1;
-              } else if (!(tag1.equals(ORG) && tag2.equals(LOC)) &&
-                         !(tag2.equals(LOC) && tag1.equals(ORG))) {
-                // shorter
-                p -= (oLength + length) * p1;
-              }
-            } 
-            if (tag1 == (LOC)) {
-              if (tag2 == (LOC)) {
-                //p -= length * Math.log(6436.0 / dem);
-                //p -= length * p2;
-              } else if (tag2 == (ORG)) {
-                //p -= length * Math.log(188 / dem);
-                p -= length * p3;
-              } else if (tag2 == (PER)) {
-                //p -= length * Math.log(4 / dem);
-                p -= length * p4;
-              } else if (tag2 == (MISC)) {
-                //p -= length * Math.log(3 / dem);
-                p -= length * p5;
-              } 
-            } else if (tag1 == (ORG)) {
-              //double dem = 3169.0;
-              if (tag2 == (LOC)) {
-                //p -= length * Math.log(188.0 / dem);
-                p -= length * p6;
-              } else if (tag2 == (ORG)) {
-                //p -= length * Math.log(2975 / dem);
-                //p -= length * p7;
-              } else if (tag2 == (PER)) {
-                //p -= length * Math.log(5 / dem);
-                p -= length * p8;
-              } else if (tag2 == (MISC)) {
-                //p -= length * Math.log(1 / dem);
-                p -= length * p9;
-              } 
-            } else if (tag1 == (PER)) {
-              //double dem = 3151.0;
-              if (tag2 == (LOC)) {
-                //p -= length * Math.log(4.0 / dem);
-                p -= length * p10;
-              } else if (tag2 == (ORG)) {
-                //p -= length * Math.log(5 / dem);
-                p -= length * p11;
-              } else if (tag2 == (PER)) {
-                //p -= length * Math.log(3141 / dem);
-                //p -= length * p12;
-              } else if (tag2 == (MISC)) {
-                //p -= length * Math.log(1 / dem);
-                p -= length * p13;
-              }
-            } else if (tag1 == (MISC)) {
-              //double dem = 2035.0;
-              if (tag2 == (LOC)) {
-                //p -= length * Math.log(3.0 / dem);
-                p -= length * p14;
-              } else if (tag2 == (ORG)) {
-                //p -= length * Math.log(1 / dem);
-                p -= length * p15;
-              } else if (tag2 == (PER)) {
-                //p -= length * Math.log(1 / dem);
-                p -= length * p16;
-              } else if (tag2 == (MISC)) {
-                //p -= length * Math.log(2030 / dem);
-                //p -= length * p17;
-              }
-            }
-          } else {
-            if (tag1 == (LOC)) {
-              //double dem = 724.0;
-              if (tag2 == (LOC)) {
-                //p -= length * Math.log(167.0 / dem);
-                //p -= length * p18;
-              } else if (tag2 == (ORG)) {
-                //p -= length * Math.log(328.0 / dem);
-                //p -= length * p19;
-              } else if (tag2 == (PER)) {
-                //p -= length * Math.log(5.0 / dem);
-                p -= length * p20;
-              } else if (tag2 == (MISC)) {
-                //p -= length * Math.log(224.0 / dem);
-                p -= length * p21;
-              } 
-            } else if (tag1 == (ORG)) {
-              //double dem = 834.0;
-              if (tag2 == (LOC)) {
-                //p -= length * Math.log(6.0 / dem);
-                p -= length * p22;
-              } else if (tag2 == (ORG)) {
-                //p -= length * Math.log(819.0 / dem);
-                //p -= length * p23;
-              } else if (tag2 == (PER)) {
-                //p -= length * Math.log(2.0 / dem);
-                p -= length * p24;
-              } else if (tag2 == (MISC)) {
-                //p -= length * Math.log(7.0 / dem);
-                p -= length * p25;
-              } 
-            } else if (tag1 == (PER)) {
-              //double dem = 1978.0;
-              if (tag2 == (LOC)) {
-                //p -= length * Math.log(1.0 / dem);
-                p -= length * p26;
-              } else if (tag2 == (ORG)) {
-                //p -= length * Math.log(22.0 / dem);
-                p -= length * p27;
-              } else if (tag2 == (PER)) {
-                //p -= length * Math.log(1941.0 / dem);
-                //p -= length * p28;
-              } else if (tag2 == (MISC)) {
-                //p -= length * Math.log(14.0 / dem);
-                p -= length * p29;
-              }
-            } else if (tag1 == (MISC)) {
-              //double dem = 622.0;
-              if (tag2 == (LOC)) {
-                //p -= length * Math.log(63.0 / dem);
-                p -= length * p30;
-              } else if (tag2 == (ORG)) {
-                //p -= length * Math.log(191.0 / dem);
-                p -= length * p31;
-              } else if (tag2 == (PER)) {
-                //p -= length * Math.log(3.0 / dem);
-                p -= length * p32;
-              } else if (tag2 == (MISC)) {
-                //p -= length * Math.log(365.0 / dem);
-                p -= length * p33;
-              }
-            }
-          }
-          
-//           if (tag1 == PER) {
-//             int personIndex = classIndex.indexOf(PER);
-//             String lastName = entity.words.get(entity.words.size()-1);
-//             for (int k = 0; k < doc.size(); k++) {
-//               String w = doc.get(k).word();
-//               if (w.equalsIgnoreCase(lastName)) {
-//                 if (sequence[k] != personIndex) {
-//                   p -= p1;
-//                 }
-//               }
-//             }
-//           }
-        }
-      }
-    }
-    return p;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/EntityCachingAbstractSequencePrior.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/EntityCachingAbstractSequencePrior.java
deleted file mode 100644
index 18563cf..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/EntityCachingAbstractSequencePrior.java
+++ /dev/null
@@ -1,500 +0,0 @@
-package edu.stanford.nlp.ie;
-
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.StringUtils;
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.sequences.SequenceModel;
-import edu.stanford.nlp.sequences.SequenceListener;
-import edu.stanford.nlp.ling.CoreAnnotations;
-
-import java.util.List;
-import java.util.ArrayList;
-import java.util.Arrays;
-
-/**
- * This class keeps track of all labeled entities and updates the
- * its list whenever the label at a point gets changed.  This allows
- * you to not have to regereate the list everytime, which can be quite
- * inefficient.
- *
- * @author Jenny Finkel
- **/
-public abstract class EntityCachingAbstractSequencePrior<IN extends CoreMap> implements SequenceModel, SequenceListener {
-
-  protected int[] sequence;
-  protected int backgroundSymbol;
-  protected int numClasses;
-  protected int[] possibleValues;
-  protected Index<String> classIndex;
-  protected List<IN> doc;
-
-  public EntityCachingAbstractSequencePrior(String backgroundSymbol, Index<String> classIndex, List<IN> doc) {
-    this.classIndex = classIndex;
-    this.backgroundSymbol = classIndex.indexOf(backgroundSymbol);
-    this.numClasses = classIndex.size();
-    this.possibleValues = new int[numClasses];
-    for (int i=0; i<numClasses; i++) {
-      possibleValues[i] = i;
-    }
-    this.doc = doc;
-  }
-
-  private boolean VERBOSE = false;
-
-  Entity[] entities;
-
-  public int leftWindow() {
-    return Integer.MAX_VALUE; // not Markovian!
-  }
-
-  public int rightWindow() {
-    return Integer.MAX_VALUE; // not Markovian!
-  }
-
-  public int[] getPossibleValues(int position) {
-    return possibleValues;
-  }
-
-  public double scoreOf(int[] sequence, int pos) {
-    return scoresOf(sequence, pos)[sequence[pos]];
-  }
-
-  /**
-   * @return the length of the sequence
-   */
-  public int length() {
-    return doc.size();
-  }
-
-  /**
-   * get the number of classes in the sequence model.
-   */
-  public int getNumClasses() {
-    return classIndex.size();
-  }
-
-  public  double[] getConditionalDistribution (int[] sequence, int position) {
-    double[] probs = scoresOf(sequence, position);
-    ArrayMath.logNormalize(probs);
-    probs = ArrayMath.exp(probs);
-    //System.out.println(this);
-    return probs;
-  }
-
-  public  double[] scoresOf (int[] sequence, int position) {
-    double[] probs = new double[numClasses];
-    int origClass = sequence[position];
-    for (int label = 0; label < numClasses; label++) {
-      sequence[position] = label;
-      updateSequenceElement(sequence, position, 0);
-      probs[label] = scoreOf(sequence);
-    }
-    sequence[position] = origClass;
-    //System.out.println(this);
-    return probs;
-  }
-
-  public void setInitialSequence(int[] initialSequence) {
-    this.sequence = initialSequence;
-    entities = new Entity[initialSequence.length];
-    Arrays.fill(entities, null);
-    for (int i = 0; i < initialSequence.length; i++) {
-      if (initialSequence[i] != backgroundSymbol) {
-        Entity entity = extractEntity(initialSequence, i);
-        addEntityToEntitiesArray(entity);
-        i += entity.words.size() - 1;
-      }
-    }
-  }
-
-  private void addEntityToEntitiesArray(Entity entity) {
-    for (int j = entity.startPosition; j < entity.startPosition + entity.words.size(); j++) {
-      entities[j] = entity;
-    }
-  }
-
-  /**
-   * extracts the entity starting at the given position
-   * and adds it to the entity list.  returns the index
-   * of the last element in the entity (<B>not</b> index+1)
-   **/
-  public Entity extractEntity(int[] sequence, int position) {
-    Entity entity = new Entity();
-    entity.type = sequence[position];
-    entity.startPosition = position;
-    entity.words = new ArrayList<String>();
-    for ( ; position < sequence.length; position++) {
-      if (sequence[position] == entity.type) {
-      	String word = doc.get(position).get(CoreAnnotations.TextAnnotation.class);
-        entity.words.add(word);
-        if (position == sequence.length - 1) {
-          entity.otherOccurrences = otherOccurrences(entity);
-        }
-      } else {
-        entity.otherOccurrences = otherOccurrences(entity);
-        break;
-      }
-    }
-    return entity;
-  }
-
-  /**
-   * finds other locations in the sequence where the sequence of
-   * words in this entity occurs.
-   */
-  public int[] otherOccurrences(Entity entity){
-    List<Integer> other = new ArrayList<Integer>();
-    for (int i = 0; i < doc.size(); i++) {
-      if (i == entity.startPosition) { continue; }
-      if (matches(entity, i)) {
-        other.add(Integer.valueOf(i));
-      }
-    }
-    return toArray(other);
-  }
-
-  public static int[] toArray(List<Integer> list) {
-    int[] arr = new int[list.size()];
-    for (int i = 0; i < arr.length; i++) {
-      arr[i] = list.get(i);
-    }
-    return arr;
-  }
-
-  public boolean matches(Entity entity, int position) {
-  	String word = doc.get(position).get(CoreAnnotations.TextAnnotation.class);
-    if (word.equalsIgnoreCase(entity.words.get(0))) {
-      //boolean matches = true;
-      for (int j = 1; j < entity.words.size(); j++) {
-        if (position + j >= doc.size()) {
-          return false;
-        }
-        String nextWord = doc.get(position+j).get(CoreAnnotations.TextAnnotation.class);
-        if (!nextWord.equalsIgnoreCase(entity.words.get(j))) {
-          return false;
-        }
-      }
-      return true;
-    }
-    return false;
-  }
-
-
-  public boolean joiningTwoEntities(int[] sequence, int position) {
-    if (sequence[position] == backgroundSymbol) { return false; }
-    if (position > 0 && position < sequence.length - 1) {
-      return (sequence[position] == sequence[position - 1] &&
-              sequence[position] == sequence[position + 1]);
-    }
-    return false;
-  }
-
-  public boolean splittingTwoEntities(int[] sequence, int position) {
-    if (position > 0 && position < sequence.length - 1) {
-      return (entities[position - 1] == entities[position + 1] &&
-              entities[position - 1] != null);
-    }
-    return false;
-  }
-
-  public boolean appendingEntity(int[] sequence, int position) {
-    if (position > 0) {
-      if (entities[position - 1] == null) { return false; }
-      Entity prev = entities[position - 1];
-      return (sequence[position] == sequence[position - 1] &&
-              prev.startPosition + prev.words.size() == position);
-    }
-    return false;
-  }
-
-  public boolean prependingEntity(int[] sequence, int position) {
-    if (position < sequence.length - 1) {
-      if (entities[position + 1] == null) { return false; }
-      return (sequence[position] == sequence[position + 1]);
-    }
-    return false;
-  }
-
-  public boolean addingSingletonEntity(int[] sequence, int position) {
-    if (sequence[position] == backgroundSymbol) { return false; }
-    if (position > 0) {
-      if (sequence[position - 1] == sequence[position]) { return false; }
-    }
-    if (position < sequence.length - 1) {
-      if (sequence[position + 1] == sequence[position]) { return false; }
-    }
-    return true;
-  }
-
-  public boolean removingEndOfEntity(int[] sequence, int position) {
-    if (position > 0) {
-      if (sequence[position - 1] == backgroundSymbol) { return false; }
-      Entity prev = entities[position - 1];
-      if (prev != null) {
-        return (prev.startPosition + prev.words.size() > position);
-      }
-    }
-    return false;
-  }
-
-  public boolean removingBeginningOfEntity(int[] sequence, int position) {
-    if (position < sequence.length - 1) {
-      if (sequence[position + 1] == backgroundSymbol) { return false; }
-      Entity next = entities[position + 1];
-      if (next != null) {
-        return (next.startPosition <= position);
-      }
-    }
-    return false;
-  }
-
-  public boolean noChange(int[] sequence, int position) {
-    if (position > 0) {
-      if (sequence[position - 1] == sequence[position]) {
-        return entities[position - 1] == entities[position];
-      }
-    }
-    if (position < sequence.length - 1) {
-      if (sequence[position + 1] == sequence[position]) {
-        return entities[position] == entities[position + 1];
-      }
-    }
-    // actually, can't tell.  either no change, or singleton
-    // changed type
-    return false;
-  }
-
-  public void updateSequenceElement(int[] sequence, int position, int oldVal) {
-    if (VERBOSE) System.out.println("changing position "+position+" from " +classIndex.get(oldVal)+" to "+classIndex.get(sequence[position]));
-
-    this.sequence = sequence;
-
-    // no change?
-    if (noChange(sequence, position)) {
-      if (VERBOSE) System.out.println("no change");
-      if (VERBOSE) System.out.println(this);
-      return;
-    }
-    // are we joining 2 entities?
-    else if (joiningTwoEntities(sequence, position)) {
-      if (VERBOSE) System.out.println("joining 2 entities");
-      Entity newEntity = new Entity();
-      Entity prev = entities[position - 1];
-      Entity next = entities[position + 1];
-      newEntity.startPosition = prev.startPosition;
-      newEntity.words = new ArrayList<String>();
-      newEntity.words.addAll(prev.words);
-      String word = doc.get(position).get(CoreAnnotations.TextAnnotation.class);
-      newEntity.words.add(word);
-      newEntity.words.addAll(next.words);
-      newEntity.type = sequence[position];
-      List<Integer> other = new ArrayList<Integer>();
-      for (int i = 0; i < prev.otherOccurrences.length; i++) {
-        int pos = prev.otherOccurrences[i];
-        if (matches(newEntity, pos)) {
-          other.add(Integer.valueOf(pos));
-        }
-      }
-      newEntity.otherOccurrences = toArray(other);
-      addEntityToEntitiesArray(newEntity);
-      if (VERBOSE) System.out.println(this);
-      return;
-    }
-    // are we splitting up an entity?
-    else if (splittingTwoEntities(sequence, position)) {
-      if (VERBOSE) System.out.println("splitting into 2 entities");
-      Entity entity = entities[position];
-      Entity prev = new Entity();
-      prev.type = entity.type;
-      prev.startPosition = entity.startPosition;
-      prev.words = new ArrayList<String>(entity.words.subList(0, position - entity.startPosition));
-      prev.otherOccurrences = otherOccurrences(prev);
-      addEntityToEntitiesArray(prev);
-      Entity next = new Entity();
-      next.type = entity.type;
-      next.startPosition = position + 1;
-      next.words = new ArrayList<String>(entity.words.subList(position - entity.startPosition + 1, entity.words.size()));
-      next.otherOccurrences = otherOccurrences(next);
-      addEntityToEntitiesArray(next);
-      if (sequence[position] == backgroundSymbol) {
-        entities[position] = null;
-      } else {
-        Entity newEntity = new Entity();
-        newEntity.startPosition = position;
-        newEntity.type = sequence[position];
-        newEntity.words = new ArrayList<String>();
-        String word = doc.get(position).get(CoreAnnotations.TextAnnotation.class);
-        newEntity.words.add(word);
-        newEntity.otherOccurrences = otherOccurrences(newEntity);
-        entities[position] = newEntity;
-      }
-      if (VERBOSE) System.out.println(this);
-      return;
-    }
-    // are we prepending to an entity ?
-    else if (prependingEntity(sequence, position)) {
-      if (VERBOSE) System.out.println("prepending entity");
-      Entity newEntity = new Entity();
-      Entity next = entities[position + 1];
-      newEntity.startPosition = position;
-      newEntity.words = new ArrayList<String>();
-      String word = doc.get(position).get(CoreAnnotations.TextAnnotation.class);
-      newEntity.words.add(word);
-      newEntity.words.addAll(next.words);
-      newEntity.type = sequence[position];
-      //List<Integer> other = new ArrayList<Integer>();
-      newEntity.otherOccurrences = otherOccurrences(newEntity);
-      addEntityToEntitiesArray(newEntity);
-
-      if (removingEndOfEntity(sequence, position)) {
-        if (VERBOSE) System.out.println(" ... and removing end of previous entity.");
-        Entity prev = entities[position - 1];
-        prev.words.remove(prev.words.size()-1);
-        prev.otherOccurrences = otherOccurrences(prev);
-      }
-      if (VERBOSE) System.out.println(this);
-      return;
-    }
-    // are we appending to an entity ?
-    else if (appendingEntity(sequence, position)) {
-      if (VERBOSE) System.out.println("appending entity");
-      Entity newEntity = new Entity();
-      Entity prev = entities[position - 1];
-      newEntity.startPosition = prev.startPosition;
-      newEntity.words = new ArrayList<String>();
-      newEntity.words.addAll(prev.words);
-      String word = doc.get(position).get(CoreAnnotations.TextAnnotation.class);
-      newEntity.words.add(word);
-      newEntity.type = sequence[position];
-      List<Integer> other = new ArrayList<Integer>();
-      for (int i = 0; i < prev.otherOccurrences.length; i++) {
-        int pos = prev.otherOccurrences[i];
-        if (matches(newEntity, pos)) {
-          other.add(Integer.valueOf(pos));
-        }
-      }
-      newEntity.otherOccurrences = toArray(other);
-      addEntityToEntitiesArray(newEntity);
-
-      if (removingBeginningOfEntity(sequence, position)) {
-        if (VERBOSE) System.out.println(" ... and removing beginning of next entity.");
-        entities[position + 1].words.remove(0);
-        entities[position + 1].startPosition++;
-      }
-      if (VERBOSE) System.out.println(this);
-      return;
-    }
-    // adding new singleton entity
-    else if (addingSingletonEntity(sequence, position)) {
-      Entity newEntity = new Entity();
-      if (VERBOSE) System.out.println("adding singleton entity");
-      newEntity.startPosition = position;
-      newEntity.words = new ArrayList<String>();
-      String word = doc.get(position).get(CoreAnnotations.TextAnnotation.class);
-      newEntity.words.add(word);
-      newEntity.type = sequence[position];
-      newEntity.otherOccurrences = otherOccurrences(newEntity);
-      addEntityToEntitiesArray(newEntity);
-
-      if (removingEndOfEntity(sequence, position)) {
-        if (VERBOSE) System.out.println(" ... and removing end of previous entity.");
-        Entity prev = entities[position - 1];
-        prev.words.remove(prev.words.size()-1);
-        prev.otherOccurrences = otherOccurrences(prev);
-      }
-
-      if (removingBeginningOfEntity(sequence, position)) {
-        if (VERBOSE) System.out.println(" ... and removing beginning of next entity.");
-        entities[position + 1].words.remove(0);
-        entities[position + 1].startPosition++;
-      }
-
-      if (VERBOSE) System.out.println(this);
-      return;
-    }
-    // are splitting off the prev entity?
-    else if (removingEndOfEntity(sequence, position)) {
-      if (VERBOSE) System.out.println("splitting off prev entity");
-      Entity prev = entities[position - 1];
-      prev.words.remove(prev.words.size() - 1);
-      prev.otherOccurrences = otherOccurrences(prev);
-      entities[position] = null;
-    }
-    // are we splitting off the next entity?
-    else if (removingBeginningOfEntity(sequence, position)) {
-      if (VERBOSE) System.out.println("splitting off next entity");
-      Entity next = entities[position + 1];
-      next.words.remove(0);
-      next.startPosition++;
-      next.otherOccurrences = otherOccurrences(next);
-      entities[position] = null;
-    } else {
-      entities[position] = null;
-    }
-    if (VERBOSE) System.out.println(this);
-  }
-
-  @Override
-  public String toString() {
-    StringBuffer sb = new StringBuffer();
-    for (int i = 0; i < entities.length; i++) {
-      sb.append(i);
-      sb.append("\t");
-      String word = doc.get(i).get(CoreAnnotations.TextAnnotation.class);
-      sb.append(word);
-      sb.append("\t");
-      sb.append(classIndex.get(sequence[i]));
-      if (entities[i] != null) {
-        sb.append("\t");
-        sb.append(entities[i].toString(classIndex));
-      }
-      sb.append("\n");
-    }
-    return sb.toString();
-  }
-
-  public String toString(int pos) {
-    StringBuffer sb = new StringBuffer();
-    for (int i = Math.max(0, pos - 10); i < Math.min(entities.length, pos + 10); i++) {
-      sb.append(i);
-      sb.append("\t");
-      String word = doc.get(i).get(CoreAnnotations.TextAnnotation.class);
-      sb.append(word);
-      sb.append("\t");
-      sb.append(classIndex.get(sequence[i]));
-      if (entities[i] != null) {
-        sb.append("\t");
-        sb.append(entities[i].toString(classIndex));
-      }
-      sb.append("\n");
-    }
-    return sb.toString();
-  }
-
-}
-
-class Entity {
-  public int startPosition;
-  public List<String> words;
-  public int type;
-
-  /**
-   * the begining index of other locations where this sequence of
-   * words appears.
-   */
-  public int[] otherOccurrences;
-
-  public String toString(Index<String> classIndex) {
-    StringBuffer sb = new StringBuffer();
-    sb.append("\"");
-    sb.append(StringUtils.join(words, " "));
-    sb.append("\" start: ");
-    sb.append(startPosition);
-    sb.append(" type: ");
-    sb.append(classIndex.get(type));
-    sb.append(" other_occurrences: ");
-    sb.append(Arrays.toString(otherOccurrences));
-    return sb.toString();
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/NERDemo.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/NERDemo.java
deleted file mode 100644
index 71e980c..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/NERDemo.java
+++ /dev/null
@@ -1,79 +0,0 @@
-package edu.stanford.nlp.ie;
-
-import edu.stanford.nlp.ie.crf.*;
-import edu.stanford.nlp.ie.AbstractSequenceClassifier;
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation;
-
-import java.util.List;
-import java.io.IOException;
-
-
-
-/** This is a demo of calling CRFClassifier programmatically.
- *  <p>
- *  Usage: <code> java -cp "stanford-ner.jar:." NERDemo [serializedClassifier [fileName]]</code>
- *  <p>
- *  If arguments aren't specified, they default to
- *  ner-eng-ie.crf-3-all2006.ser.gz and some hardcoded sample text.
- *  <p>
- *  To use CRFClassifier from the command line:
- *  java -mx400m edu.stanford.nlp.ie.crf.CRFClassifier -loadClassifier
- *      [classifier] -textFile [file]
- *  Or if the file is already tokenized and one word per line, perhaps in
- *  a tab-separated value format with extra columns for part-of-speech tag,
- *  etc., use the version below (note the 's' instead of the 'x'):
- *  java -mx400m edu.stanford.nlp.ie.crf.CRFClassifier -loadClassifier
- *      [classifier] -testFile [file]
- *
- *  @author Jenny Finkel
- *  @author Christopher Manning
- */
-
-public class NERDemo {
-
-    public static void main(String[] args) throws IOException {
-
-      String serializedClassifier = "classifiers/ner-eng-ie.crf-3-all2008.ser.gz";
-
-      if (args.length > 0) {
-        serializedClassifier = args[0];
-      }
-
-      AbstractSequenceClassifier classifier = CRFClassifier.getClassifierNoExceptions(serializedClassifier);
-
-      /* For either a file to annotate or for the hardcoded text example,
-         this demo file shows two ways to process the output, for teaching
-         purposes.  For the file, it shows both how to run NER on a String
-         and how to run it on a whole file.  For the hard-coded String,
-         it shows how to run it on a single sentence, and how to do this
-         and produce an inline XML output format.
-      */
-      if (args.length > 1) {
-        String fileContents = IOUtils.slurpFile(args[1]);
-        List<List<CoreLabel>> out = classifier.classify(fileContents);
-        for (List<CoreLabel> sentence : out) {
-          for (CoreLabel word : sentence) {
-            System.out.print(word.word() + '/' + word.get(AnswerAnnotation.class) + ' ');
-          }
-          System.out.println();
-        }
-        out = classifier.classifyFile(args[1]);
-        for (List<CoreLabel> sentence : out) {
-          for (CoreLabel word : sentence) {
-            System.out.print(word.word() + '/' + word.get(AnswerAnnotation.class) + ' ');
-          }
-          System.out.println();
-        }
-
-      } else {
-        String s1 = "Good afternoon Rajat Raina, how are you today?";
-        String s2 = "I go to school at Stanford University, which is located in California.";
-        System.out.println(classifier.classifyToString(s1));
-        System.out.println(classifier.classifyWithInlineXML(s2));
-        System.out.println(classifier.classifyToString(s2, "xml", true));
-      }
-    }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/NERFeatureFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/NERFeatureFactory.java
deleted file mode 100644
index 7ca05dc..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/NERFeatureFactory.java
+++ /dev/null
@@ -1,2143 +0,0 @@
-// NERFeatureFactory -- features for a probabilistic Named Entity Recognizer
-// Copyright (c) 2002-2008 Leland Stanford Junior University
-// Additional features (c) 2003 The University of Edinburgh
-//
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    Support/Questions: java-nlp-user@lists.stanford.edu
-//    Licensing: java-nlp-support@lists.stanford.edu
-//    http://nlp.stanford.edu/downloads/crf-classifier.shtml
-
-package edu.stanford.nlp.ie;
-
-import java.io.BufferedReader;
-import java.io.FileReader;
-import java.io.IOException;
-import java.io.Serializable;
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.Collections;
-import java.util.HashMap;
-import java.util.HashSet;
-import java.util.List;
-import java.util.Map;
-import java.util.Set;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-import edu.stanford.nlp.ling.CoreAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations;
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.FreqAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.GovernorAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.IsDateRangeAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.IsURLAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ParaPositionAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.PositionAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ProtoAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.SectionAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ShapeAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.StackedNamedEntityTagAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.TopicAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.UnknownAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.WebAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.WordPositionAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.WordnetSynAnnotation;
-import edu.stanford.nlp.ling.CoreLabel.GenericAnnotation;
-import edu.stanford.nlp.objectbank.ObjectBank;
-import edu.stanford.nlp.process.WordShapeClassifier;
-import edu.stanford.nlp.sequences.Clique;
-import edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter;
-import edu.stanford.nlp.sequences.FeatureFactory;
-import edu.stanford.nlp.sequences.SeqClassifierFlags;
-import edu.stanford.nlp.trees.TreeCoreAnnotations;
-import edu.stanford.nlp.util.PaddedList;
-import edu.stanford.nlp.util.StringUtils;
-import edu.stanford.nlp.util.Timing;
-
-
-/**
- * Features for Named Entity Recognition.  The code here creates the features
- * by processing Lists of CoreLabels.
- * Look at {@link SeqClassifierFlags} to see where the flags are set for
- * what options to use for what flags.
- * <p>
- * To add a new feature extractor, you should do the following:
- * <ol>
- * <li>Add a variable (boolean, int, String, etc. as appropriate) to
- *     SeqClassifierFlags to mark if the new extractor is turned on or
- *     its value, etc. Add it at the <i>bottom</i> of the list of variables
- *     currently in the class (this avoids problems with older serialized
- *     files breaking). Make the default value of the variable false/null/0
- *     (this is again for backwards compatibility).</li>
- * <li>Add a clause to the big if/then/else of setProperties(Properties) in
- *     SeqClassifierFlags.  Unless it is a macro option, make the option name
- *     the same as the variable name used in step 1.</li>
- * <li>Add code to NERFeatureFactory for this feature. First decide which
- *     classes (hidden states) are involved in the feature.  If only the
- *     current class, you add the feature extractor to the
- *     <code>featuresC</code> code, if both the current and previous class,
- *     then <code>featuresCpC</code>, etc.</li>
- * </ol>
- * <p> Parameters can be defined using a Properties file
- * (specified on the command-line with <code>-prop</code> <i>propFile</i>),
- * or directly on the command line. The following properties are recognized:
- * </p>
- * <table border="1">
- * <tr><td><b>Property Name</b></td><td><b>Type</b></td><td><b>Default Value</b></td><td><b>Description</b></td></tr>
- * <tr><td> loadClassifier </td><td>String</td><td>n/a</td><td>Path to serialized classifier to load</td></tr>
- * <tr><td> loadAuxClassifier </td><td>String</td><td>n/a</td><td>Path to auxiliary classifier to load.</td></tr>
- * <tr><td> serializeTo</td><td>String</td><td>n/a</td><td>Path to serialize classifier to</td></tr>
- * <tr><td> trainFile</td><td>String</td><td>n/a</td><td>Path of file to use as training data</td></tr>
- * <tr><td> testFile</td><td>String</td><td>n/a</td><td>Path of file to use as training data</td></tr>
- * <p/>
- * <tr><td> useWord</td><td>boolean</td><td>true</td><td>Gives you feature for w</td></tr>
- * <tr><td> useBinnedLength</td><td>String</td><td>null</td><td>If non-null, treat as a sequence of comma separated integer bounds, where items above the previous bound up to the next bound are binned Len-<i>range</i></td></tr>
- * <tr><td> useNGrams</td><td>boolean</td><td>false</td><td>Make features from letter n-grams</td></tr>
- * <tr><td> lowercaseNGrams</td><td>boolean</td><td>false</td><td>Make features from letter n-grams only lowercase</td></tr>
- * <tr><td> dehyphenateNGrams</td><td>boolean</td><td>false</td><td>Remove hyphens before making features from letter n-grams</td></tr>
- * <tr><td> conjoinShapeNGrams</td><td>boolean</td><td>false</td><td>Conjoin word shape and n-gram features</td></tr>
- * <tr><td> usePrev</td><td>boolean</td><td>false</td><td>Gives you feature for (pw,c), and together with other options enables other previous features, such as (pt,c) [with useTags)</td></tr>
- * <tr><td> useNext</td><td>boolean</td><td>false</td><td>Gives you feature for (nw,c), and together with other options enables other next features, such as (nt,c) [with useTags)</td></tr>
- * <tr><td> useTags</td><td>boolean</td><td>false</td><td>Gives you features for (t,c), (pt,c) [if usePrev], (nt,c) [if useNext]</td></tr>
- * <tr><td> useWordPairs</td><td>boolean</td><td>false</td><td>Gives you
- * features for (pw, w, c) and (w, nw, c)</td></tr>
- * <p>
- * <tr><td> useGazettes</td><td>boolean</td><td>false</td><td>If true, use gazette features (defined by other flags)</td></tr>
- * <tr><td> gazette</td><td>String</td><td>null</td><td>The value can be one or more filenames (names separated by a comma, semicolon or space).
- * If provided gazettes are loaded from these files.  Each line should be an entity class name, followed by whitespace followed by an entity (which might be a phrase of several tokens with a single space between words).
- * Giving this property turns on useGazettes, so you normally don't need to specify it (but can use it to turn off gazettes specified in a properties file).</td></tr>
- * <tr><td> sloppyGazette</td><td>boolean</td><td>false</td><td>If true, a gazette feature fires when any token of a gazette entry matches</td></tr>
- * <tr><td> cleanGazette</td><td>boolean</td><td>false</td><td></td>If true, a gazette feature fires when all tokens of a gazette entry match</tr>
- * <p>
- * <tr><td> wordShape</td><td>String</td><td>none</td><td>Either "none" for no wordShape use, or the name of a word shape function recognized by {@link WordShapeClassifier#lookupShaper(String)}</td></tr>
- * <tr><td> useSequences</td><td>boolean</td><td>true</td><td></td></tr>
- * <tr><td> usePrevSequences</td><td>boolean</td><td>false</td><td></td></tr>
- * <tr><td> useNextSequences</td><td>boolean</td><td>false</td><td></td></tr>
- * <tr><td> useLongSequences</td><td>boolean</td><td>false</td><td>Use plain higher-order state sequences out to minimum of length or maxLeft</td></tr>
- * <tr><td> useBoundarySequences</td><td>boolean</td><td>false</td><td>Use extra second order class sequence features when previous is CoNLL boundary, so entity knows it can span boundary.</td></tr>
- * <tr><td> useTaggySequences</td><td>boolean</td><td>false</td><td>Use first, second, and third order class and tag sequence interaction features</td></tr>
- * <tr><td> useExtraTaggySequences</td><td>boolean</td><td>false</td><td>Add in sequences of tags with just current class features</td></tr>
- * <tr><td> useTaggySequencesShapeInteraction</td><td>boolean</td><td>false</td><td>Add in terms that join sequences of 2 or 3 tags with the current shape</td></tr>
- * <tr><td> strictlyFirstOrder</td><td>boolean</td><td>false</td><td>As an override to whatever other options are in effect, deletes all features other than C and CpC clique features when building the classifier</td></tr>
- * <tr><td> entitySubclassification</td><td>String</td><td>"IO"</td><td>If
- * set, convert the labeling of classes (but not  the background) into
- * one of several alternate encodings (IO, IOB1, IOB2, IOE1, IOE2, SBIEO, with
- * a S(ingle), B(eginning),
- * E(nding), I(nside) 4-way classification for each class.  By default, we
- * either do no re-encoding, or the CoNLLDocumentIteratorFactory does a
- * lossy encoding as IO.  Note that this is all CoNLL-specific, and depends on
- * their way of prefix encoding classes, and is only implemented by
- * the CoNLLDocumentIteratorFactory. </td></tr>
- * <p/>
- * <tr><td> useSum</td><td>boolean</td><td>false</td><td></td></tr>
- * <tr><td> tolerance</td><td>double</td><td>1e-4</td><td>Convergence tolerance in optimization</td></tr>
- * <tr><td> printFeatures</td><td>String</td><td>null</td><td>print out the features of the classifier to a file based on this name (starting with feat-, suffixed "-1" and "-2")</td></tr>
- * <tr><td> printFeaturesUpto</td><td>int</td><td>-1</td><td>Print out features for only the first this many datums, if the value is positive. </td></tr>
- * <p/>
- * <tr><td> useSymTags</td><td>boolean</td><td>false</td><td>Gives you
- * features (pt, t, nt, c), (t, nt, c), (pt, t, c)</td></tr>
- * <tr><td> useSymWordPairs</td><td>boolean</td><td>false</td><td>Gives you
- * features (pw, nw, c)</td></tr>
- * <p/>
- * <tr><td> printClassifier</td><td>String</td><td>null</td><td>Style in which to print the classifier. One of: HighWeight, HighMagnitude, Collection, AllWeights, WeightHistogram</td></tr>
- * <tr><td> printClassifierParam</td><td>int</td><td>100</td><td>A parameter
- * to the printing style, which may give, for example the number of parameters
- * to print</td></tr>
- * <tr><td> intern</td><td>boolean</td><td>false</td><td>If true,
- * (String) intern read in data and classes and feature (pre-)names such
- * as substring features</td></tr>
- * <tr><td> intern2</td><td>boolean</td><td>false</td><td>If true, intern all (final) feature names (if only current word and ngram features are used, these will already have been interned by intern, and this is an unnecessary no-op)</td></tr>
- * <tr><td> cacheNGrams</td><td>boolean</td><td>false</td><td>If true,
- * record the NGram features that correspond to a String (under the current
- * option settings) and reuse rather than recalculating if the String is seen
- * again.</td></tr>
- * <tr><td> selfTest</td><td>boolean</td><td>false</td><td></td></tr>
- * <p/>
- * <tr><td> noMidNGrams</td><td>boolean</td><td>false</td><td>Do not include character n-gram features for n-grams that contain neither the beginning or end of the word</td></tr>
- * <tr><td> maxNGramLeng</td><td>int</td><td>-1</td><td>If this number is
- * positive, n-grams above this size will not be used in the model</td></tr>
- * <tr><td> useReverse</td><td>boolean</td><td>false</td><td></td></tr>
- * <tr><td> retainEntitySubclassification</td><td>boolean</td><td>false</td><td>If true, rather than undoing a recoding of entity tag subtypes (such as BIO variants), just leave them in the output.</td></tr>
- * <tr><td> useLemmas</td><td>boolean</td><td>false</td><td>Include the lemma of a word as a feature.</td></tr>
- * <tr><td> usePrevNextLemmas</td><td>boolean</td><td>false</td><td>Include the previous/next lemma of a word as a feature.</td></tr>
- * <tr><td> useLemmaAsWord</td><td>boolean</td><td>false</td><td>Include the lemma of a word as a feature.</td></tr>
- * <tr><td> normalizeTerms</td><td>boolean</td><td>false</td><td>If this is true, some words are normalized: day and month names are lowercased (as for normalizeTimex) and some British spellings are mapped to American English spellings (e.g., -our/-or, etc.).</td></tr>
- * <tr><td> normalizeTimex</td><td>boolean</td><td>false</td><td>If this is true, capitalization of day and month names is normalized to lowercase</td></tr>
- * <tr><td> useNB</td><td>boolean</td><td>false</td><td></td></tr>
- * <tr><td> useTypeSeqs</td><td>boolean</td><td>false</td><td>Use basic zeroeth order word shape features.</td></tr>
- * <tr><td> useTypeSeqs2</td><td>boolean</td><td>false</td><td>Add additional first and second order word shape features</td></tr>
- * <tr><td> useTypeSeqs3</td><td>boolean</td><td>false</td><td>Adds one more first order shape sequence</td></tr>
- * <tr><td> useDisjunctive</td><td>boolean</td><td>false</td><td>Include in features giving disjunctions of words anywhere in the left or right disjunctionWidth words (preserving direction but not position)</td></tr>
- * <tr><td> disjunctionWidth</td><td>int</td><td>4</td><td>The number of words on each side of the current word that are included in the disjunction features</td></tr>
- * <tr><td> useDisjunctiveShapeInteraction</td><td>boolean</td><td>false</td><td>Include in features giving disjunctions of words anywhere in the left or right disjunctionWidth words (preserving direction but not position) interacting with the word shape of the current word</td></tr>
- * <tr><td> useWideDisjunctive</td><td>boolean</td><td>false</td><td>Include in features giving disjunctions of words anywhere in the left or right wideDisjunctionWidth words (preserving direction but not position)</td></tr>
- * <tr><td> wideDisjunctionWidth</td><td>int</td><td>4</td><td>The number of words on each side of the current word that are included in the disjunction features</td></tr>
- * <tr><td> usePosition</td><td>boolean</td><td>false</td><td>Use combination of position in sentence and class as a feature</td></tr>
- * <tr><td> useBeginSent</td><td>boolean</td><td>false</td><td>Use combination of initial position in sentence and class (and word shape) as a feature.  (Doesn't seem to help.)</td></tr>
- * <tr><td> useDisjShape</td><td>boolean</td><td>false</td><td>Include features giving disjunctions of word shapes anywhere in the left or right disjunctionWidth words (preserving direction but not position)</td></tr>
- * <tr><td> useClassFeature</td><td>boolean</td><td>false</td><td>Include a feature for the class (as a class marginal)</td></tr>
- * <tr><td> useShapeConjunctions</td><td>boolean</td><td>false</td><td>Conjoin shape with tag or position</td></tr>
- * <tr><td> useWordTag</td><td>boolean</td><td>false</td><td>Include word and tag pair features</td></tr>
- * <tr><td> useLastRealWord</td><td>boolean</td><td>false</td><td>Iff the prev word is of length 3 or less, add an extra feature that combines the word two back and the current word's shape. <i>Weird!</i></td></tr>
- * <tr><td> useNextRealWord</td><td>boolean</td><td>false</td><td>Iff the next word is of length 3 or less, add an extra feature that combines the word after next and the current word's shape. <i>Weird!</i></td></tr>
- * <tr><td> useTitle</td><td>boolean</td><td>false</td><td>Match a word against a list of name titles (Mr, Mrs, etc.)</td></tr>
- * <tr><td> useOccurrencePatterns</td><td>boolean</td><td>false</td><td>This is a very engineered feature designed to capture multiple references to names.  If the current word isn't capitalized, followed by a non-capitalized word, and preceded by a word with alphabetic characters, it returns NO-OCCURRENCE-PATTERN.  Otherwise, if the previous word is a capitalized NNP, then if in the next 150 words you find this PW-W sequence, you get XY-NEXT-OCCURRENCE-XY, else if you find W you get XY-NEXT-OCCURRENCE-Y.  Similarly for backwards and XY-PREV-OCCURRENCE-XY and XY-PREV-OCCURRENCE-Y.  Else (if the previous word isn't a capitalized NNP), under analogous rules you get one or more of X-NEXT-OCCURRENCE-YX, X-NEXT-OCCURRENCE-XY, X-NEXT-OCCURRENCE-X, X-PREV-OCCURRENCE-YX, X-PREV-OCCURRENCE-XY, X-PREV-OCCURRENCE-X.</td></tr>
- * <tr><td> useTypeySequences</td><td>boolean</td><td>false</td><td>Some first order word shape patterns.</td></tr>
- * <tr><td> useGenericFeatures</td><td>boolean</td><td>false</td><td>If true, any features you include in the map will be incorporated into the model with values equal to those given in the file; values are treated as strings unless you use the "realValued" option (described below)</td></tr>
- * <tr><td> justify</td><td>boolean</td><td>false</td><td>Print out all
- * feature/class pairs and their weight, and then for each input data
- * point, print justification (weights) for active features</td></tr>
- * <tr><td> normalize</td><td>boolean</td><td>false</td><td>For the CMMClassifier (only) if this is true then the Scorer normalizes scores as probabilities.</td></tr>
- * <tr><td> useHuber</td><td>boolean</td><td>false</td><td>Use a Huber loss prior rather than the default quadratic loss.</td></tr>
- * <tr><td> useQuartic</td><td>boolean</td><td>false</td><td>Use a Quartic prior rather than the default quadratic loss.</td></tr>
- * <tr><td> sigma</td><td>double</td><td>1.0</td><td></td></tr>
- * <tr><td> epsilon</td><td>double</td><td>0.01</td><td>Used only as a parameter in the Huber loss: this is the distance from 0 at which the loss changes from quadratic to linear</td></tr>
- * <tr><td> beamSize</td><td>int</td><td>30</td><td></td></tr>
- * <tr><td> maxLeft</td><td>int</td><td>2</td><td>The number of things to the left that have to be cached to run the Viterbi algorithm: the maximum context of class features used.</td></tr>
- * <tr><td> dontExtendTaggy</td><td>boolean</td><td>false</td><td>Don't extend the range of useTaggySequences when maxLeft is increased.</td></tr>
- * <tr><td> numFolds </td><td>int</td><td>1</td><td>The number of folds to use for cross-validation.</td></tr>
- * <tr><td> startFold </td><td>int</td><td>1</td><td>The starting fold to run.</td></tr>
- * <tr><td> numFoldsToRun </td><td>int</td><td>1</td><td>The number of folds to run.</td></tr>
- * <tr><td> mergeTags </td><td>boolean</td><td>false</td><td>Whether to merge B- and I- tags.</td></tr>
- * <tr><td> splitDocuments</td><td>boolean</td><td>true</td><td>Whether or not to split the data into separate documents for training/testing</td></tr>
- * <tr><td> maxDocSize</td><td>int</td><td>10000</td><td>If this number is greater than 0, attempt to split documents bigger than this value into multiple documents at sentence boundaries during testing; otherwise do nothing.</td></tr>
- * </table>
- * <p/>
- * Note: flags/properties overwrite left to right.  That is, the parameter
- * setting specified <i>last</i> is the one used.
- * <p/>
- * <pre>
- * DOCUMENTATION ON FEATURE TEMPLATES
- * <p/>
- * w = word
- * t = tag
- * p = position (word index in sentence)
- * c = class
- * p = paren
- * g = gazette
- * a = abbrev
- * s = shape
- * r = regent (dependency governor)
- * h = head word of phrase
- * n(w) = ngrams from w
- * g(w) = gazette entries containing w
- * l(w) = length of w
- * o(...) = occurrence patterns of words
- * <p/>
- * useReverse reverses meaning of prev, next everywhere below (on in macro)
- * <p/>
- * "Prolog" booleans: , = AND and ; = OR
- * <p/>
- * Mac: Y = turned on in -macro,
- *      + = additional positive things relative to -macro for CoNLL NERFeatureFactory
- *          (perhaps none...)
- *      - = Known negative for CoNLL NERFeatureFactory relative to -macro
- * <p/>p
- * Bio: + = additional things that are positive for BioCreative
- *      - = things negative relative to -macro
- * <p/>
- * HighMagnitude: There are no (0) to a few (+) to many (+++) high weight
- * features of this template. (? = not used in goodCoNLL, but usually = 0)
- * <p/>
- * Feature              Mac Bio CRFFlags                   HighMagnitude
- * ---------------------------------------------------------------------
- * w,c                    Y     useWord                    0 (useWord is almost useless with unlimited ngram features, but helps a fraction in goodCoNLL, if only because of prior fiddling
- * p,c                          usePosition                ?
- * p=0,c                        useBeginSent               ?
- * p=0,s,c                      useBeginSent               ?
- * t,c                    Y     useTags                    ++
- * pw,c                   Y     usePrev                    +
- * pt,c                   Y     usePrev,useTags            0
- * nw,c                   Y     useNext                    ++
- * nt,c                   Y     useNext,useTags            0
- * pw,w,c                 Y     useWordPairs               +
- * w,nw,c                 Y     useWordPairs               +
- * pt,t,nt,c                    useSymTags                 ?
- * t,nt,c                       useSymTags                 ?
- * pt,t,c                       useSymTags                 ?
- * pw,nw,c                      useSymWordPairs            ?
- * <p/>
- * pc,c                   Y     usePrev,useSequences,usePrevSequences   +++
- * pc,w,c                 Y     usePrev,useSequences,usePrevSequences   0
- * nc,c                         useNext,useSequences,useNextSequences   ?
- * w,nc,c                       useNext,useSequences,useNextSequences   ?
- * pc,nc,c                      useNext,usePrev,useSequences,usePrevSequences,useNextSequences  ?
- * w,pc,nc,c                    useNext,usePrev,useSequences,usePrevSequences,useNextSequences   ?
- * <p/>
- * (pw;p2w;p3w;p4w),c        +  useDisjunctive  (out to disjunctionWidth now)   +++
- * (nw;n2w;n3w;n4w),c        +  useDisjunctive  (out to disjunctionWidth now)   ++++
- * (pw;p2w;p3w;p4w),s,c      +  useDisjunctiveShapeInteraction          ?
- * (nw;n2w;n3w;n4w),s,c      +  useDisjunctiveShapeInteraction          ?
- * (pw;p2w;p3w;p4w),c        +  useWideDisjunctive (to wideDisjunctionWidth)   ?
- * (nw;n2w;n3w;n4w),c        +  useWideDisjunctive (to wideDisjunctionWidth)   ?
- * (ps;p2s;p3s;p4s),c           useDisjShape  (out to disjunctionWidth now)   ?
- * (ns;n2s;n3s;n4s),c           useDisjShape  (out to disjunctionWidth now)   ?
- * <p/>
- * pt,pc,t,c              Y     useTaggySequences                        +
- * p2t,p2c,pt,pc,t,c      Y     useTaggySequences,maxLeft&gt;=2          +
- * p3t,p3c,p2t,p2c,pt,pc,t,c Y  useTaggySequences,maxLeft&gt;=3,!dontExtendTaggy   ?
- * p2c,pc,c               Y     useLongSequences                         ++
- * p3c,p2c,pc,c           Y     useLongSequences,maxLeft&gt;=3           ?
- * p4c,p3c,p2c,pc,c       Y     useLongSequences,maxLeft&gt;=4           ?
- * p2c,pc,c,pw=BOUNDARY         useBoundarySequences                     0 (OK, but!)
- * <p/>
- * p2t,pt,t,c             -     useExtraTaggySequences                   ?
- * p3t,p2t,pt,t,c         -     useExtraTaggySequences                   ?
- * <p/>
- * p2t,pt,t,s,p2c,pc,c    -     useTaggySequencesShapeInteraction        ?
- * p3t,p2t,pt,t,s,p3c,p2c,pc,c  useTaggySequencesShapeInteraction        ?
- * <p/>
- * s,pc,c                 Y     useTypeySequences                        ++
- * ns,pc,c                Y     useTypeySequences  // error for ps? not? 0
- * ps,pc,s,c              Y     useTypeySequences                        0
- * // p2s,p2c,ps,pc,s,c      Y     useTypeySequences,maxLeft&gt;=2 // duplicated a useTypeSeqs2 feature
- * <p/>
- * n(w),c                 Y     useNGrams (noMidNGrams, MaxNGramLeng, lowercaseNGrams, dehyphenateNGrams)   +++
- * n(w),s,c                     useNGrams,conjoinShapeNGrams             ?
- * <p/>
- * g,c                        + useGazFeatures   // test refining this?   ?
- * pg,pc,c                    + useGazFeatures                           ?
- * ng,c                       + useGazFeatures                           ?
- * // pg,g,c                    useGazFeatures                           ?
- * // pg,g,ng,c                 useGazFeatures                           ?
- * // p2g,p2c,pg,pc,g,c         useGazFeatures                           ?
- * g,w,c                        useMoreGazFeatures                       ?
- * pg,pc,g,c                    useMoreGazFeatures                       ?
- * g,ng,c                       useMoreGazFeatures                       ?
- * <p/>
- * g(w),c                       useGazette,sloppyGazette (contains same word)   ?
- * g(w),[pw,nw,...],c           useGazette,cleanGazette (entire entry matches)   ?
- * <p/>
- * s,c                    Y     wordShape &gt;= 0                       +++
- * ps,c                   Y     wordShape &gt;= 0,useTypeSeqs           +
- * ns,c                   Y     wordShape &gt;= 0,useTypeSeqs           +
- * pw,s,c                 Y     wordShape &gt;= 0,useTypeSeqs           +
- * s,nw,c                 Y     wordShape &gt;= 0,useTypeSeqs           +
- * ps,s,c                 Y     wordShape &gt;= 0,useTypeSeqs           0
- * s,ns,c                 Y     wordShape &gt;= 0,useTypeSeqs           ++
- * ps,s,ns,c              Y     wordShape &gt;= 0,useTypeSeqs           ++
- * pc,ps,s,c              Y     wordShape &gt;= 0,useTypeSeqs,useTypeSeqs2   0
- * p2c,p2s,pc,ps,s,c      Y     wordShape &gt;= 0,useTypeSeqs,useTypeSeqs2,maxLeft&gt;=2   +++
- * pc,ps,s,ns,c                 wordShape &gt;= 0,useTypeSeqs,useTypeSeqs3   ?
- * <p/>
- * p2w,s,c if l(pw) &lt;= 3 Y     useLastRealWord // weird features, but work   0
- * n2w,s,c if l(nw) &lt;= 3 Y     useNextRealWord                        ++
- * o(pw,w,nw),c           Y     useOccurrencePatterns // don't fully grok but has to do with capitalized name patterns   ++
- * <p/>
- * a,c                          useAbbr;useMinimalAbbr
- * pa,a,c                       useAbbr
- * a,na,c                       useAbbr
- * pa,a,na,c                    useAbbr
- * pa,pc,a,c                    useAbbr;useMinimalAbbr
- * p2a,p2c,pa,pc,a              useAbbr
- * w,a,c                        useMinimalAbbr
- * p2a,p2c,a,c                  useMinimalAbbr
- * <p/>
- * RESTR. w,(pw,pc;p2w,p2c;p3w,p3c;p4w,p4c)   + useParenMatching,maxLeft&gt;=n
- * <p/>
- * c                          - useClassFeature
- * <p/>
-  * p,s,c                      - useShapeConjunctions
- * t,s,c                      - useShapeConjunctions
- * <p/>
- * w,t,c                      + useWordTag                      ?
- * w,pt,c                     + useWordTag                      ?
- * w,nt,c                     + useWordTag                      ?
- * <p/>
- * r,c                          useNPGovernor (only for baseNP words)
- * r,t,c                        useNPGovernor (only for baseNP words)
- * h,c                          useNPHead (only for baseNP words)
- * h,t,c                        useNPHead (only for baseNP words)
- * <p/>
- * </pre>
- *
- * @author Dan Klein
- * @author Jenny Finkel
- * @author Christopher Manning
- * @author Shipra Dingare
- * @author Huy Nguyen
- */
-public class NERFeatureFactory<IN extends CoreLabel> extends FeatureFactory<IN> {
-
-  private static final long serialVersionUID = -2329726064739185544L;
-
-  public NERFeatureFactory() {
-    super();
-  }
-
-  public void init(SeqClassifierFlags flags) {
-    super.init(flags);
-    initGazette();
-    if (flags.useDistSim) {
-      initLexicon(flags);
-    }
-  }
-
-
-  /**
-   * Extracts all the features from the input data at a certain index.
-   *
-   * @param cInfo The complete data set as a List of WordInfo
-   * @param loc  The index at which to extract features.
-   */
-  @Override
-  public Collection<String> getCliqueFeatures(PaddedList<IN> cInfo, int loc, Clique clique) {
-    Collection<String> features = new HashSet<String>();
-
-    boolean doFE = cInfo.get(0).containsKey(DomainAnnotation.class);
-    String domain = (doFE ? cInfo.get(0).get(DomainAnnotation.class) : null);
-
-//    System.err.println(doFE+"\t"+domain);
-
-    if (clique == cliqueC) {
-      //200710: tried making this clique null; didn't improve performance (rafferty)
-      Collection<String> c = featuresC(cInfo, loc);
-      addAllInterningAndSuffixing(features, c, "C");
-      if (doFE) {
-        addAllInterningAndSuffixing(features, c, domain+"-C");
-      }
-    } else if (clique == cliqueCpC) {
-      Collection<String> c = featuresCpC(cInfo, loc);
-      addAllInterningAndSuffixing(features, c, "CpC");
-      if (doFE) {
-        addAllInterningAndSuffixing(features, c, domain+"-CpC");
-      }
-
-      c = featuresCnC(cInfo, loc-1);
-      addAllInterningAndSuffixing(features, c, "CnC");
-      if (doFE) {
-        addAllInterningAndSuffixing(features, c, domain+"-CnC");
-      }
-    } else if (clique == cliqueCp2C) {
-      Collection<String> c = featuresCp2C(cInfo, loc);
-      addAllInterningAndSuffixing(features, c, "Cp2C");
-      if (doFE) {
-        addAllInterningAndSuffixing(features, c, domain+"-Cp2C");
-      }
-    } else if (clique == cliqueCp3C) {
-      Collection<String> c = featuresCp3C(cInfo, loc);
-      addAllInterningAndSuffixing(features, c, "Cp3C");
-      if (doFE) {
-        addAllInterningAndSuffixing(features, c, domain+"-Cp3C");
-      }
-    } else if (clique == cliqueCp4C) {
-      Collection<String> c = featuresCp4C(cInfo, loc);
-      addAllInterningAndSuffixing(features, c, "Cp4C");
-      if (doFE) {
-        addAllInterningAndSuffixing(features, c, domain+"-Cp4C");
-      }
-    } else if (clique == cliqueCp5C) {
-      Collection<String> c = featuresCp5C(cInfo, loc);
-      addAllInterningAndSuffixing(features, c, "Cp5C");
-      if (doFE) {
-        addAllInterningAndSuffixing(features, c, domain+"-Cp5C");
-      }
-    } else if (clique == cliqueCpCp2C) {
-      Collection<String> c = featuresCpCp2C(cInfo, loc);
-      addAllInterningAndSuffixing(features, c, "CpCp2C");
-      if (doFE) {
-        addAllInterningAndSuffixing(features, c, domain+"-CpCp2C");
-      }
-
-      c = featuresCpCnC(cInfo, loc-1);
-      addAllInterningAndSuffixing(features, c, "CpCnC");
-      if (doFE) {
-        addAllInterningAndSuffixing(features, c, domain+"-CpCnC");
-      }
-    } else if (clique == cliqueCpCp2Cp3C) {
-      Collection<String> c = featuresCpCp2Cp3C(cInfo, loc);
-      addAllInterningAndSuffixing(features, c, "CpCp2Cp3C");
-      if (doFE) {
-        addAllInterningAndSuffixing(features, c, domain+"-CpCp2Cp3C");
-      }
-    } else if (clique == cliqueCpCp2Cp3Cp4C) {
-      Collection<String> c = featuresCpCp2Cp3Cp4C(cInfo, loc);
-      addAllInterningAndSuffixing(features, c, "CpCp2Cp3Cp4C");
-      if (doFE) {
-        addAllInterningAndSuffixing(features, c, domain+"-CpCp2Cp3Cp4C");
-      }
-    }
-
-    // System.err.println(StringUtils.join(features,"\n")+"\n");
-    return features;
-  }
-
-
-  // TODO: when breaking serialization, it seems like it would be better to
-  // move the lexicon into (Abstract)SequenceClassifier and to do this
-  // annotation as part of the ObjectBankWrapper.  But note that it is
-  // serialized in this object currently and it would then need to be
-  // serialized elsewhere or loaded each time
-  private Map<String,String> lexicon;
-
-  private void initLexicon(SeqClassifierFlags flags) {
-    if (flags.distSimLexicon == null) {
-      return;
-    }
-    if (lexicon != null) {
-      return;
-    }
-    Timing.startDoing("Loading distsim lexicon from " + flags.distSimLexicon);
-    lexicon = new HashMap<String, String>();
-    boolean terryKoo = "terryKoo".equals(flags.distSimFileFormat);
-    for (String line : ObjectBank.getLineIterator(flags.distSimLexicon,
-                                                  flags.inputEncoding)) {
-      String word;
-      String wordClass;
-      if (terryKoo) {
-        String[] bits = line.split("\\t");
-        word = bits[1];
-        wordClass = bits[0];
-        if (flags.distSimMaxBits > 0 && wordClass.length() > flags.distSimMaxBits) {
-          wordClass = wordClass.substring(0, flags.distSimMaxBits);
-        }
-      } else {
-        // "alexClark"
-        String[] bits = line.split("\\s+");
-        word = bits[0];
-        wordClass = bits[1];
-      }
-      if ( ! flags.casedDistSim) {
-        word = word.toLowerCase();
-      }
-      if (flags.numberEquivalenceDistSim) {
-        word = WordShapeClassifier.wordShape(word, WordShapeClassifier.WORDSHAPEDIGITS);
-      }
-      lexicon.put(word, wordClass);
-    }
-    Timing.endDoing();
-  }
-
-
-  private void distSimAnnotate(PaddedList<IN> info) {
-    for (CoreLabel fl : info) {
-      if (fl.has(DistSimAnnotation.class)) { return; }
-      String word = fl.getString(TextAnnotation.class);
-      if ( ! flags.casedDistSim) {
-        word = word.toLowerCase();
-      }
-      if (flags.numberEquivalenceDistSim) {
-        word = WordShapeClassifier.wordShape(word, WordShapeClassifier.WORDSHAPEDIGITS);
-      }
-      String distSim = lexicon.get(word);
-      if (distSim == null) { 
-        distSim = flags.unknownWordDistSimClass;
-      }
-      fl.set(DistSimAnnotation.class, distSim);
-    }
-  }
-
-
-  private Map<String,Collection<String>> wordToSubstrings = new HashMap<String,Collection<String>>();
-
-  public void clearMemory() {
-    wordToSubstrings = new HashMap<String,Collection<String>>();
-    lexicon = null;
-  }
-
-  private static String dehyphenate(String str) {
-    // don't take out leading or ending ones, just internal
-    // and remember padded with < > characters
-    String retStr = str;
-    int leng = str.length();
-    int hyphen = 2;
-    do {
-      hyphen = retStr.indexOf('-', hyphen);
-      if (hyphen >= 0 && hyphen < leng - 2) {
-        retStr = retStr.substring(0, hyphen) + retStr.substring(hyphen + 1);
-      } else {
-        hyphen = -1;
-      }
-    } while (hyphen >= 0);
-    return retStr;
-  }
-
-  private static String greekify(String str) {
-    // don't take out leading or ending ones, just internal
-    // and remember padded with < > characters
-
-    String pattern = "(alpha)|(beta)|(gamma)|(delta)|(epsilon)|(zeta)|(kappa)|(lambda)|(rho)|(sigma)|(tau)|(upsilon)|(omega)";
-
-    Pattern p = Pattern.compile(pattern);
-    Matcher m = p.matcher(str);
-    return m.replaceAll("~");
-  }
-
-  /* end methods that do transformations */
-
-  /*
-   * static booleans that check strings for certain qualities *
-   */
-
-  // cdm: this could be improved to handle more name types, such as
-  // O'Reilly, DeGuzman, etc. (need a little classifier?!?)
-  private static boolean isNameCase(String str) {
-    if (str.length() < 2) {
-      return false;
-    }
-    if (!(Character.isUpperCase(str.charAt(0)) || Character.isTitleCase(str.charAt(0)))) {
-      return false;
-    }
-    for (int i = 1; i < str.length(); i++) {
-      if (Character.isUpperCase(str.charAt(i))) {
-        return false;
-      }
-    }
-    return true;
-  }
-
-  private static boolean noUpperCase(String str) {
-    if (str.length() < 1) {
-      return false;
-    }
-    for (int i = 0; i < str.length(); i++) {
-      if (Character.isUpperCase(str.charAt(i))) {
-        return false;
-      }
-    }
-    return true;
-  }
-
-  private static boolean hasLetter(String str) {
-    if (str.length() < 1) {
-      return false;
-    }
-    for (int i = 0; i < str.length(); i++) {
-      if (Character.isLetter(str.charAt(i))) {
-        return true;
-      }
-    }
-    return false;
-  }
-
-  private static final Pattern ordinalPattern = Pattern.compile("(?:(?:first|second|third|fourth|fifth|"+
-                                                          "sixth|seventh|eighth|ninth|tenth|"+
-                                                          "eleventh|twelfth|thirteenth|"+
-                                                          "fourteenth|fifteenth|sixteenth|"+
-                                                          "seventeenth|eighteenth|nineteenth|"+
-                                                          "twenty|twentieth|thirty|thirtieth|"+
-                                                          "forty|fortieth|fifty|fiftieth|"+
-                                                          "sixty|sixtieth|seventy|seventieth|"+
-                                                          "eighty|eightieth|ninety|ninetieth|"+
-                                                          "one|two|three|four|five|six|seven|"+
-                                                          "eight|nine|hundred|hundredth)-?)+|[0-9]+(?:st|nd|rd|th)", Pattern.CASE_INSENSITIVE);
-
-
-  private static final Pattern numberPattern = Pattern.compile("[0-9]+");
-  private static final Pattern ordinalEndPattern = Pattern.compile("(?:st|nd|rd|th)", Pattern.CASE_INSENSITIVE);
-
-  private static boolean isOrdinal(List<? extends CoreLabel> wordInfos, int pos) {
-    CoreLabel c = wordInfos.get(pos);
-    Matcher m = ordinalPattern.matcher(c.getString(TextAnnotation.class));
-    if (m.matches()) { return true; }
-    m = numberPattern.matcher(c.getString(TextAnnotation.class));
-    if (m.matches()) {
-      if (pos+1 < wordInfos.size()) {
-        CoreLabel n = wordInfos.get(pos+1);
-        m = ordinalEndPattern.matcher(n.getString(TextAnnotation.class));
-        if (m.matches()) { return true; }
-      }
-      return false;
-    }
-
-    m = ordinalEndPattern.matcher(c.getString(TextAnnotation.class));
-    if (m.matches()) {
-      if (pos > 0) {
-        CoreLabel p = wordInfos.get(pos-1);
-        m = numberPattern.matcher(p.getString(TextAnnotation.class));
-        if (m.matches()) { return true; }
-      }
-    }
-    if (c.getString(TextAnnotation.class).equals("-")) {
-      if (pos+1 < wordInfos.size() && pos > 0) {
-        CoreLabel p = wordInfos.get(pos-1);
-        CoreLabel n = wordInfos.get(pos+1);
-        m = ordinalPattern.matcher(p.getString(TextAnnotation.class));
-        if (m.matches()) {
-          m = ordinalPattern.matcher(n.getString(TextAnnotation.class));
-          if (m.matches()) {
-            return true;
-          }
-        }
-      }
-    }
-    return false;
-  }
-
-  /* end static booleans that check strings for certain qualities */
-
-  /**
-   * Gazette Stuff.
-   */
-
-  private static class GazetteInfo implements Serializable {
-    String feature = "";
-    int loc = 0;
-    String[] words = StringUtils.EMPTY_STRING_ARRAY;
-    private static final long serialVersionUID = -5903728481621584810L;
-  } // end class GazetteInfo
-
-  private Map<String,Collection<String>> wordToGazetteEntries = new HashMap<String,Collection<String>>();
-  private Map<String,Collection<GazetteInfo>> wordToGazetteInfos = new HashMap<String,Collection<GazetteInfo>>();
-
-  /** Reads a gazette file.  Each line of it consists of a class name
-   *  (a String not containing whitespace characters), followed by whitespace
-   *  characters followed by a phrase, which is one or more tokens separated
-   *  by a single space.
-   *
-   *  @param in Where to read the gazette from
-   *  @throws IOException If IO errors
-   */
-  private void readGazette(BufferedReader in) throws IOException {
-    Pattern p = Pattern.compile("^(\\S+)\\s+(.+)$");
-    for (String line; (line = in.readLine()) != null; ) {
-      Matcher m = p.matcher(line);
-      if (m.matches()) {
-        String type = intern(m.group(1));
-        String phrase = m.group(2);
-        String[] words = phrase.split(" ");
-        for (int i = 0; i < words.length; i++) {
-          String word = intern(words[i]);
-          if (flags.sloppyGazette) {
-            Collection<String> entries = wordToGazetteEntries.get(word);
-            if (entries == null) {
-              entries = new HashSet<String>();
-              wordToGazetteEntries.put(word, entries);
-            }
-            String feature = intern(type + "-GAZ" + words.length);
-            entries.add(feature);
-          }
-          if (flags.cleanGazette) {
-            Collection<GazetteInfo> infos = wordToGazetteInfos.get(word);
-            if (infos == null) {
-              infos = new HashSet<GazetteInfo>();
-              wordToGazetteInfos.put(word, infos);
-            }
-            GazetteInfo info = new GazetteInfo();
-            info.loc = i;
-            info.words = words;
-            info.feature = intern(type + "-GAZ" + words.length);
-            infos.add(info);
-          }
-        }
-      }
-    }
-  }
-
-  private HashSet<Class<? extends GenericAnnotation<?>>> genericAnnotationKeys; // = null; //cache which keys are generic annotations so we don't have to do too many instanceof checks
-
-  @SuppressWarnings({"unchecked", "SuspiciousMethodCalls"})
-  private void makeGenericKeyCache(CoreLabel c) {
-    genericAnnotationKeys = new HashSet<Class<? extends GenericAnnotation<?>>>();
-    for (Class<?> key : c.keySet()) {
-      if (CoreLabel.genericValues.containsKey(key)) {
-        Class<? extends GenericAnnotation<?>> genKey = (Class<? extends GenericAnnotation<?>>) key;
-        genericAnnotationKeys.add(genKey);
-      }
-    }
-  }
-
-  private HashSet<String> lastNames; // = null;
-  private HashSet<String> maleNames; // = null;
-  private HashSet<String> femaleNames; // = null;
-
-  private final Pattern titlePattern = Pattern.compile("(Mr|Ms|Mrs|Dr|Miss|Sen|Judge|Sir)\\.?"); // todo: should make static final and add more titles
-
-
-  protected Collection<String> featuresC(PaddedList<IN> cInfo, int loc) {
-    CoreLabel c = cInfo.get(loc);
-    CoreLabel n = cInfo.get(loc + 1);
-    CoreLabel n2 = cInfo.get(loc + 2);
-    CoreLabel p = cInfo.get(loc - 1);
-    CoreLabel p2 = cInfo.get(loc - 2);
-    CoreLabel p3 = cInfo.get(loc - 3);
-
-    String cWord = c.getString(TextAnnotation.class);
-    String pWord = p.getString(TextAnnotation.class);
-    String nWord = n.getString(TextAnnotation.class);
-    String cShape = c.getString(ShapeAnnotation.class);
-
-    Collection<String> featuresC = new ArrayList<String>();
-
-    if (flags.useDistSim) {
-      distSimAnnotate(cInfo);
-    }
-
-    if (flags.useDistSim && flags.useMoreTags) {
-      featuresC.add(p.get(DistSimAnnotation.class) + '-' + cWord + "-PDISTSIM-CWORD");
-    }
-
-
-    if (flags.useDistSim) {
-      featuresC.add(c.get(DistSimAnnotation.class) + "-DISTSIM");
-    }
-
-
-    if (flags.useTitle) {
-      Matcher m = titlePattern.matcher(cWord);
-      if (m.matches()) {
-        featuresC.add("IS_TITLE");
-      }
-    }
-
-
-    if (flags.useInternal && flags.useExternal ) {
-
-      if (flags.useWord) {
-        featuresC.add(cWord + "-WORD");
-      }
-
-      if (flags.use2W) {
-        featuresC.add(p2.getString(TextAnnotation.class) + "-P2W");
-        featuresC.add(n2.getString(TextAnnotation.class) + "-N2W");
-      }
-
-      if (flags.useLC) {
-        featuresC.add(cWord.toLowerCase() + "-CL");
-        featuresC.add(pWord.toLowerCase() + "-PL");
-        featuresC.add(nWord.toLowerCase() + "-NL");
-      }
-
-      if (flags.useUnknown) { // for true casing
-        featuresC.add(c.get(UnknownAnnotation.class)+"-UNKNOWN");
-        featuresC.add(p.get(UnknownAnnotation.class)+"-PUNKNOWN");
-        featuresC.add(n.get(UnknownAnnotation.class)+"-NUNKNOWN");
-      }
-
-      if (flags.useLemmas) {
-        String lem = c.getString(LemmaAnnotation.class);
-        if (! "".equals(lem)) {
-          featuresC.add(lem + "-LEM");
-        }
-      }
-      if (flags.usePrevNextLemmas) {
-        String plem = p.getString(LemmaAnnotation.class);
-        String nlem = n.getString(LemmaAnnotation.class);
-        if (! "".equals(plem)) {
-          featuresC.add(plem + "-PLEM");
-        }
-        if (! "".equals(nlem)) {
-          featuresC.add(nlem + "-NLEM");
-        }
-      }
-
-      if (flags.checkNameList) {
-        try {
-          if (lastNames == null) {
-            lastNames = new HashSet<String>();
-
-            for (String line : ObjectBank.getLineIterator(flags.lastNameList)) {
-              String[] cols = line.split("\\s+");
-              lastNames.add(cols[0]);
-            }
-          }
-          if (maleNames == null) {
-            maleNames = new HashSet<String>();
-            for (String line : ObjectBank.getLineIterator(flags.maleNameList)) {
-              String[] cols = line.split("\\s+");
-              maleNames.add(cols[0]);
-            }
-          }
-          if (femaleNames == null) {
-            femaleNames = new HashSet<String>();
-            for (String line : ObjectBank.getLineIterator(flags.femaleNameList)) {
-              String[] cols = line.split("\\s+");
-              femaleNames.add(cols[0]);
-            }
-          }
-
-          String name = cWord.toUpperCase();
-          if (lastNames.contains(name)) {
-            featuresC.add("LAST_NAME");
-          }
-
-          if (maleNames.contains(name)) {
-            featuresC.add("MALE_NAME");
-          }
-
-          if (femaleNames.contains(name)) {
-            featuresC.add("FEMALE_NAME");
-          }
-
-        } catch (Exception e) {
-          throw new RuntimeException(e);
-        }
-      }
-
-      if (flags.binnedLengths != null) {
-        int len = cWord.length();
-        String featureName = null;
-        for (int i = 0; i <= flags.binnedLengths.length; i++) {
-          if (i == flags.binnedLengths.length) {
-            featureName = "Len-" + flags.binnedLengths[flags.binnedLengths.length - 1] + "-Inf";
-          } else if (len <= flags.binnedLengths[i]) {
-            featureName = "Len-" + ((i == 0) ? 1 : flags.binnedLengths[i - 1]) + '-' + flags.binnedLengths[i];
-            break;
-          }
-        }
-        featuresC.add(featureName);
-      }
-
-      if (flags.useABGENE) {
-        featuresC.add(c.get(AbgeneAnnotation.class) + "-ABGENE");
-        featuresC.add(p.get(AbgeneAnnotation.class) + "-PABGENE");
-        featuresC.add(n.get(AbgeneAnnotation.class) + "-NABGENE");
-      }
-
-      if (flags.useABSTRFreqDict) {
-        featuresC.add(c.get(AbstrAnnotation.class) + "-ABSTRACT" + c.get(FreqAnnotation.class) + "-FREQ" + c.getString(PartOfSpeechAnnotation.class) + "-TAG");
-        featuresC.add(c.get(AbstrAnnotation.class) + "-ABSTRACT" + c.get(DictAnnotation.class) + "-DICT" + c.getString(PartOfSpeechAnnotation.class) + "-TAG");
-        featuresC.add(c.get(AbstrAnnotation.class) + "-ABSTRACT" + c.get(DictAnnotation.class) + "-DICT" + c.get(FreqAnnotation.class) + "-FREQ" + c.getString(PartOfSpeechAnnotation.class) + "-TAG");
-      }
-
-      if (flags.useABSTR) {
-        featuresC.add(c.get(AbstrAnnotation.class) + "-ABSTRACT");
-        featuresC.add(p.get(AbstrAnnotation.class) + "-PABSTRACT");
-        featuresC.add(n.get(AbstrAnnotation.class) + "-NABSTRACT");
-      }
-
-      if (flags.useGENIA) {
-        featuresC.add(c.get(GeniaAnnotation.class) + "-GENIA");
-        featuresC.add(p.get(GeniaAnnotation.class) + "-PGENIA");
-        featuresC.add(n.get(GeniaAnnotation.class) + "-NGENIA");
-      }
-      if (flags.useWEBFreqDict) {
-        featuresC.add(c.get(WebAnnotation.class) + "-WEB" + c.get(FreqAnnotation.class) + "-FREQ" + c.getString(PartOfSpeechAnnotation.class) + "-TAG");
-        featuresC.add(c.get(WebAnnotation.class) + "-WEB" + c.get(DictAnnotation.class) + "-DICT" + c.getString(PartOfSpeechAnnotation.class) + "-TAG");
-        featuresC.add(c.get(WebAnnotation.class) + "-WEB" + c.get(DictAnnotation.class) + "-DICT" + c.get(FreqAnnotation.class) + "-FREQ" + c.getString(PartOfSpeechAnnotation.class) + "-TAG");
-      }
-
-      if (flags.useWEB) {
-        featuresC.add(c.get(WebAnnotation.class) + "-WEB");
-        featuresC.add(p.get(WebAnnotation.class) + "-PWEB");
-        featuresC.add(n.get(WebAnnotation.class) + "-NWEB");
-      }
-
-      if (flags.useIsURL) {
-        featuresC.add(c.get(IsURLAnnotation.class) + "-ISURL");
-      }
-      if (flags.useEntityRule) {
-        featuresC.add(c.get(EntityRuleAnnotation.class)+"-ENTITYRULE");
-      }
-      if (flags.useEntityTypes) {
-        featuresC.add(c.get(EntityTypeAnnotation.class) + "-ENTITYTYPE");
-      }
-      if (flags.useIsDateRange) {
-        featuresC.add(c.get(IsDateRangeAnnotation.class) + "-ISDATERANGE");
-      }
-
-      if (flags.useABSTRFreq) {
-        featuresC.add(c.get(AbstrAnnotation.class) + "-ABSTRACT" + c.get(FreqAnnotation.class) + "-FREQ");
-      }
-
-      if (flags.useFREQ) {
-        featuresC.add(c.get(FreqAnnotation.class) + "-FREQ");
-      }
-
-      if (flags.useMoreTags) {
-        featuresC.add(p.getString(PartOfSpeechAnnotation.class) + '-' + cWord + "-PTAG-CWORD");
-      }
-
-      if (flags.usePosition) {
-        featuresC.add(c.get(PositionAnnotation.class) + "-POSITION");
-      }
-      if (flags.useBeginSent) {
-        if ("0".equals(c.get(PositionAnnotation.class))) {
-          featuresC.add("BEGIN-SENT");
-          featuresC.add(cShape + "-BEGIN-SENT");
-        } else {
-          featuresC.add("IN-SENT");
-          featuresC.add(cShape + "-IN-SENT");
-        }
-      }
-      if (flags.useTags) {
-        featuresC.add(c.getString(PartOfSpeechAnnotation.class) + "-TAG");
-      }
-
-      if (flags.useOrdinal) {
-        if (isOrdinal(cInfo, loc)) {
-          featuresC.add("C_ORDINAL");
-          if (isOrdinal(cInfo, loc-1)) {
-            //System.err.print(p.getString(TextAnnotation.class)+" ");
-            featuresC.add("PC_ORDINAL");
-          }
-          //System.err.println(c.getString(TextAnnotation.class));
-        }
-        if (isOrdinal(cInfo, loc-1)) {
-          featuresC.add("P_ORDINAL");
-        }
-      }
-
-      if (flags.usePrev) {
-        featuresC.add(p.getString(TextAnnotation.class) + "-PW");
-        if (flags.useTags) {
-          featuresC.add(p.getString(PartOfSpeechAnnotation.class) + "-PTAG");
-        }
-        if (flags.useDistSim) {
-          featuresC.add(p.get(DistSimAnnotation.class) + "-PDISTSIM");
-        }
-        if (flags.useIsURL) {
-          featuresC.add(p.get(IsURLAnnotation.class) + "-PISURL");
-        }
-        if (flags.useEntityTypes) {
-          featuresC.add(p.get(EntityTypeAnnotation.class) + "-PENTITYTYPE");
-        }
-      }
-
-      if (flags.useNext) {
-        featuresC.add(n.getString(TextAnnotation.class) + "-NW");
-        if (flags.useTags) {
-          featuresC.add(n.getString(PartOfSpeechAnnotation.class) + "-NTAG");
-        }
-        if (flags.useDistSim) {
-          featuresC.add(n.get(DistSimAnnotation.class) + "-NDISTSIM");
-        }
-        if (flags.useIsURL) {
-          featuresC.add(n.get(IsURLAnnotation.class) + "-NISURL");
-        }
-        if (flags.useEntityTypes) {
-          featuresC.add(n.get(EntityTypeAnnotation.class) + "-NENTITYTYPE");
-        }
-      }
-      /*here, entityTypes refers to the type in the PASCAL IE challenge:
-       * i.e. certain words are tagged "Date" or "Location" */
-
-
-      if (flags.useEitherSideWord) {
-        featuresC.add(pWord + "-EW");
-        featuresC.add(nWord + "-EW");
-      }
-
-      if (flags.useWordPairs) {
-        featuresC.add(cWord + '-' + pWord + "-W-PW");
-        featuresC.add(cWord + '-' + nWord + "-W-NW");
-      }
-
-      if (flags.useSymTags) {
-        if (flags.useTags) {
-          featuresC.add(p.getString(PartOfSpeechAnnotation.class) + '-' + c.getString(PartOfSpeechAnnotation.class) + '-' + n.getString(PartOfSpeechAnnotation.class) + "-PCNTAGS");
-          featuresC.add(c.getString(PartOfSpeechAnnotation.class) + '-' + n.getString(PartOfSpeechAnnotation.class) + "-CNTAGS");
-          featuresC.add(p.getString(PartOfSpeechAnnotation.class) + '-' + c.getString(PartOfSpeechAnnotation.class) + "-PCTAGS");
-        }
-        if (flags.useDistSim) {
-          featuresC.add(p.get(DistSimAnnotation.class) + '-' + c.get(DistSimAnnotation.class) + '-' + n.get(DistSimAnnotation.class) + "-PCNDISTSIM");
-          featuresC.add(c.get(DistSimAnnotation.class) + '-' + n.get(DistSimAnnotation.class) + "-CNDISTSIM");
-          featuresC.add(p.get(DistSimAnnotation.class) + '-' + c.get(DistSimAnnotation.class) + "-PCDISTSIM");
-        }
-
-      }
-
-
-      if (flags.useSymWordPairs) {
-        featuresC.add(pWord + '-' + nWord + "-SWORDS");
-      }
-
-      if (flags.useGazFeatures) {
-        if (!c.get(GazAnnotation.class).equals(flags.dropGaz)) {
-          featuresC.add(c.get(GazAnnotation.class) + "-GAZ");
-        }
-        if (!n.get(GazAnnotation.class).equals(flags.dropGaz)) {
-          featuresC.add(n.get(GazAnnotation.class) + "-NGAZ");
-        }
-        if (!p.get(GazAnnotation.class).equals(flags.dropGaz)) {
-          featuresC.add(p.get(GazAnnotation.class) + "-PGAZ");
-        }
-      }
-
-      if (flags.useMoreGazFeatures) {
-        if (!c.get(GazAnnotation.class).equals(flags.dropGaz)) {
-          featuresC.add(c.get(GazAnnotation.class) + '-' + cWord + "-CG-CW-GAZ");
-          if (!n.get(GazAnnotation.class).equals(flags.dropGaz)) {
-            featuresC.add(c.get(GazAnnotation.class) + '-' + n.get(GazAnnotation.class) + "-CNGAZ");
-          }
-          if (!p.get(GazAnnotation.class).equals(flags.dropGaz)) {
-            featuresC.add(p.get(GazAnnotation.class) + '-' + c.get(GazAnnotation.class) + "-PCGAZ");
-          }
-        }
-      }
-
-      if (flags.useAbbr || flags.useMinimalAbbr) {
-        featuresC.add(c.get(AbbrAnnotation.class) + "-ABBR");
-      }
-
-      if (flags.useAbbr1 || flags.useMinimalAbbr1) {
-        if (!c.get(AbbrAnnotation.class).equals("XX")) {
-          featuresC.add(c.get(AbbrAnnotation.class) + "-ABBR");
-        }
-      }
-
-      if (flags.useAbbr) {
-        featuresC.add(p.get(AbbrAnnotation.class) + '-' + c.get(AbbrAnnotation.class) + "-PCABBR");
-        featuresC.add(c.get(AbbrAnnotation.class) + '-' + n.get(AbbrAnnotation.class) + "-CNABBR");
-        featuresC.add(p.get(AbbrAnnotation.class) + '-' + c.get(AbbrAnnotation.class) + '-' + n.get(AbbrAnnotation.class) + "-PCNABBR");
-      }
-
-      if (flags.useAbbr1) {
-        if (!c.get(AbbrAnnotation.class).equals("XX")) {
-          featuresC.add(p.get(AbbrAnnotation.class) + '-' + c.get(AbbrAnnotation.class) + "-PCABBR");
-          featuresC.add(c.get(AbbrAnnotation.class) + '-' + n.get(AbbrAnnotation.class) + "-CNABBR");
-          featuresC.add(p.get(AbbrAnnotation.class) + '-' + c.get(AbbrAnnotation.class) + '-' + n.get(AbbrAnnotation.class) + "-PCNABBR");
-        }
-      }
-
-      if (flags.useChunks) {
-        featuresC.add(p.get(ChunkAnnotation.class) + '-' + c.get(ChunkAnnotation.class) + "-PCCHUNK");
-        featuresC.add(c.get(ChunkAnnotation.class) + '-' + n.get(ChunkAnnotation.class) + "-CNCHUNK");
-        featuresC.add(p.get(ChunkAnnotation.class) + '-' + c.get(ChunkAnnotation.class) + '-' + n.get(ChunkAnnotation.class) + "-PCNCHUNK");
-      }
-
-      if (flags.useMinimalAbbr) {
-        featuresC.add(cWord + '-' + c.get(AbbrAnnotation.class) + "-CWABB");
-      }
-
-      if (flags.useMinimalAbbr1) {
-        if (!c.get(AbbrAnnotation.class).equals("XX")) {
-          featuresC.add(cWord + '-' + c.get(AbbrAnnotation.class) + "-CWABB");
-        }
-      }
-
-      String prevVB = "", nextVB = "";
-      if (flags.usePrevVB) {
-        for (int j = loc - 1; ; j--) {
-          CoreLabel wi = cInfo.get(j);
-          if (wi == cInfo.getPad()) {
-            prevVB = "X";
-            featuresC.add("X-PVB");
-            break;
-          } else if (wi.getString(PartOfSpeechAnnotation.class).startsWith("VB")) {
-            featuresC.add(wi.getString(TextAnnotation.class) + "-PVB");
-            prevVB = wi.getString(TextAnnotation.class);
-            break;
-          }
-        }
-      }
-
-      if (flags.useNextVB) {
-        for (int j = loc + 1; ; j++) {
-          CoreLabel wi = cInfo.get(j);
-          if (wi == cInfo.getPad()) {
-            featuresC.add("X-NVB");
-            nextVB = "X";
-            break;
-          } else if (wi.getString(PartOfSpeechAnnotation.class).startsWith("VB")) {
-            featuresC.add(wi.getString(TextAnnotation.class) + "-NVB");
-            nextVB = wi.getString(TextAnnotation.class);
-            break;
-          }
-        }
-      }
-
-      if (flags.useVB) {
-        featuresC.add(prevVB + '-' + nextVB + "-PNVB");
-      }
-
-      if (flags.useShapeConjunctions) {
-        featuresC.add(c.get(PositionAnnotation.class) + cShape + "-POS-SH");
-        if (flags.useTags) {
-          featuresC.add(c.tag() + cShape + "-TAG-SH");
-        }
-        if (flags.useDistSim) {
-          featuresC.add(c.get(DistSimAnnotation.class) + cShape + "-DISTSIM-SH");
-        }
-
-      }
-
-      if (flags.useWordTag) {
-        featuresC.add(cWord + '-' + c.getString(PartOfSpeechAnnotation.class) + "-W-T");
-        featuresC.add(cWord + '-' + p.getString(PartOfSpeechAnnotation.class) + "-W-PT");
-        featuresC.add(cWord + '-' + n.getString(PartOfSpeechAnnotation.class) + "-W-NT");
-      }
-
-      if (flags.useNPHead) {
-        featuresC.add(c.get(TreeCoreAnnotations.HeadWordAnnotation.class) + "-HW");
-        if (flags.useTags) {
-          featuresC.add(c.get(TreeCoreAnnotations.HeadWordAnnotation.class) + "-" + c.getString(PartOfSpeechAnnotation.class) + "-HW-T");
-        }
-        if (flags.useDistSim) {
-          featuresC.add(c.get(TreeCoreAnnotations.HeadWordAnnotation.class) + "-" + c.get(DistSimAnnotation.class) + "-HW-DISTSIM");
-        }
-      }
-
-      if (flags.useNPGovernor) {
-        featuresC.add(c.get(GovernorAnnotation.class) + "-GW");
-        if (flags.useTags) {
-          featuresC.add(c.get(GovernorAnnotation.class) + '-' + c.getString(PartOfSpeechAnnotation.class) + "-GW-T");
-        }
-        if (flags.useDistSim) {
-          featuresC.add(c.get(GovernorAnnotation.class) + '-' + c.get(DistSimAnnotation.class) + "-DISTSIM-T1");
-        }
-      }
-
-      if (flags.useHeadGov) {
-        featuresC.add(c.get(TreeCoreAnnotations.HeadWordAnnotation.class) + "-" + c.get(GovernorAnnotation.class) + "-HW_GW");
-      }
-
-      if (flags.useClassFeature) {
-        featuresC.add("###");
-      }
-
-      if (flags.useFirstWord) {
-        String firstWord = cInfo.get(0).getString(TextAnnotation.class);
-        featuresC.add(firstWord);
-      }
-
-      if (flags.useNGrams) {
-        Collection<String> subs = wordToSubstrings.get(cWord);
-        if (subs == null) {
-          subs = new ArrayList<String>();
-          String word = '<' + cWord + '>';
-          if (flags.lowercaseNGrams) {
-            word = word.toLowerCase();
-          }
-          if (flags.dehyphenateNGrams) {
-            word = dehyphenate(word);
-          }
-          if (flags.greekifyNGrams) {
-            word = greekify(word);
-          }
-          for (int i = 0; i < word.length(); i++) {
-            for (int j = i + 2; j <= word.length(); j++) {
-              if (flags.noMidNGrams && i != 0 && j != word.length()) {
-                continue;
-              }
-              if (flags.maxNGramLeng >= 0 && j - i > flags.maxNGramLeng) {
-                continue;
-              }
-              subs.add(intern('#' + word.substring(i, j) + '#'));
-            }
-          }
-          if (flags.cacheNGrams) {
-            wordToSubstrings.put(cWord, subs);
-          }
-        }
-        featuresC.addAll(subs);
-        if (flags.conjoinShapeNGrams) {
-          for (String str : subs) {
-            String feat = str + '-' + cShape + "-CNGram-CS";
-            featuresC.add(feat);
-          }
-        }
-      }
-
-      if (flags.useGazettes) {
-        if (flags.sloppyGazette) {
-          Collection<String> entries = wordToGazetteEntries.get(cWord);
-          if (entries != null) {
-            featuresC.addAll(entries);
-          }
-        }
-        if (flags.cleanGazette) {
-          Collection<GazetteInfo> infos = wordToGazetteInfos.get(cWord);
-          if (infos != null) {
-            for (GazetteInfo gInfo : infos) {
-              boolean ok = true;
-              for (int gLoc = 0; gLoc < gInfo.words.length; gLoc++) {
-                ok &= gInfo.words[gLoc].equals(cInfo.get(loc + gLoc - gInfo.loc).getString(TextAnnotation.class));
-              }
-              if (ok) {
-                featuresC.add(gInfo.feature);
-              }
-            }
-          }
-        }
-      }
-
-      if ((flags.wordShape > WordShapeClassifier.NOWORDSHAPE) || (flags.useShapeStrings)) {
-        featuresC.add(cShape + "-TYPE");
-        if (flags.useTypeSeqs) {
-          String pShape = p.get(ShapeAnnotation.class);
-          String nShape = n.get(ShapeAnnotation.class);
-          featuresC.add(pShape + "-PTYPE");
-          featuresC.add(nShape + "-NTYPE");
-          featuresC.add(pWord + "..." + cShape + "-PW_CTYPE");
-          featuresC.add(cShape + "..." + nWord + "-NW_CTYPE");
-          featuresC.add(pShape + "..." + cShape + "-PCTYPE");
-          featuresC.add(cShape + "..." + nShape + "-CNTYPE");
-          featuresC.add(pShape + "..." + cShape + "..." + nShape + "-PCNTYPE");
-        }
-      }
-
-      if (flags.useLastRealWord) {
-        if (pWord.length() <= 3) {
-          // extending this to check for 2 short words doesn't seem to help....
-          featuresC.add(p2.getString(TextAnnotation.class) + "..." + cShape + "-PPW_CTYPE");
-        }
-      }
-
-      if (flags.useNextRealWord) {
-        if (nWord.length() <= 3) {
-          // extending this to check for 2 short words doesn't seem to help....
-          featuresC.add(n2.getString(TextAnnotation.class) + "..." + cShape + "-NNW_CTYPE");
-        }
-      }
-
-      if (flags.useOccurrencePatterns) {
-        featuresC.addAll(occurrencePatterns(cInfo, loc));
-      }
-
-      if (flags.useDisjunctive) {
-        for (int i = 1; i <= flags.disjunctionWidth; i++) {
-          CoreLabel dn = cInfo.get(loc + i);
-          CoreLabel dp = cInfo.get(loc - i);
-          featuresC.add(dn.getString(TextAnnotation.class) + "-DISJN");
-          if (flags.useDisjunctiveShapeInteraction) {
-            featuresC.add(dn.getString(TextAnnotation.class) + '-' + cShape + "-DISJN-CS");
-          }
-          featuresC.add(dp.getString(TextAnnotation.class) + "-DISJP");
-          if (flags.useDisjunctiveShapeInteraction) {
-            featuresC.add(dp.getString(TextAnnotation.class) + '-' + cShape + "-DISJP-CS");
-          }
-        }
-      }
-
-      if (flags.useWideDisjunctive) {
-        for (int i = 1; i <= flags.wideDisjunctionWidth; i++) {
-          featuresC.add(cInfo.get(loc + i).getString(TextAnnotation.class) + "-DISJWN");
-          featuresC.add(cInfo.get(loc - i).getString(TextAnnotation.class) + "-DISJWP");
-        }
-      }
-
-      if (flags.useEitherSideDisjunctive) {
-        for (int i = 1; i <= flags.disjunctionWidth; i++) {
-          featuresC.add(cInfo.get(loc + i).getString(TextAnnotation.class) + "-DISJWE");
-          featuresC.add(cInfo.get(loc - i).getString(TextAnnotation.class) + "-DISJWE");
-        }
-      }
-
-      if (flags.useDisjShape) {
-        for (int i = 1; i <= flags.disjunctionWidth; i++) {
-          featuresC.add(cInfo.get(loc + i).get(ShapeAnnotation.class) + "-NDISJSHAPE");
-          // featuresC.add(cInfo.get(loc - i).get(ShapeAnnotation.class) + "-PDISJSHAPE");
-          featuresC.add(cShape + '-' + cInfo.get(loc + i).get(ShapeAnnotation.class) + "-CNDISJSHAPE");
-          // featuresC.add(c.get(ShapeAnnotation.class) + "-" + cInfo.get(loc - i).get(ShapeAnnotation.class) + "-CPDISJSHAPE");
-        }
-      }
-
-      if (flags.useExtraTaggySequences) {
-        if (flags.useTags) {
-          featuresC.add(p2.getString(PartOfSpeechAnnotation.class) + '-' + p.getString(PartOfSpeechAnnotation.class) + '-' + c.getString(PartOfSpeechAnnotation.class) + "-TTS");
-          featuresC.add(p3.getString(PartOfSpeechAnnotation.class) + '-' + p2.getString(PartOfSpeechAnnotation.class) + '-' + p.getString(PartOfSpeechAnnotation.class) + '-' + c.getString(PartOfSpeechAnnotation.class) + "-TTTS");
-        }
-        if (flags.useDistSim) {
-          featuresC.add(p2.get(DistSimAnnotation.class) + '-' + p.get(DistSimAnnotation.class) + '-' + c.get(DistSimAnnotation.class) + "-DISTSIM_TTS1");
-          featuresC.add(p3.get(DistSimAnnotation.class) + '-' + p2.get(DistSimAnnotation.class) + '-' + p.get(DistSimAnnotation.class) + '-' + c.get(DistSimAnnotation.class) + "-DISTSIM_TTTS1");
-        }
-      }
-
-      if (flags.useMUCFeatures) {
-        featuresC.add(c.get(SectionAnnotation.class)+"-SECTION");
-        featuresC.add(c.get(WordPositionAnnotation.class)+"-WORD_POSITION");
-        featuresC.add(c.get(CoreAnnotations.SentencePositionAnnotation.class)+"-SENT_POSITION");
-        featuresC.add(c.get(ParaPositionAnnotation.class)+"-PARA_POSITION");
-        featuresC.add(c.get(WordPositionAnnotation.class)+ '-' +c.get(ShapeAnnotation.class)+"-WORD_POSITION_SHAPE");
-      }
-    } else if (flags.useInternal) {
-
-      if (flags.useWord) {
-        featuresC.add(cWord + "-WORD");
-      }
-
-      if (flags.useNGrams) {
-        Collection<String> subs = wordToSubstrings.get(cWord);
-        if (subs == null) {
-          subs = new ArrayList<String>();
-          String word = '<' + cWord + '>';
-          if (flags.lowercaseNGrams) {
-            word = word.toLowerCase();
-          }
-          if (flags.dehyphenateNGrams) {
-            word = dehyphenate(word);
-          }
-          if (flags.greekifyNGrams) {
-            word = greekify(word);
-          }
-          for (int i = 0; i < word.length(); i++) {
-            for (int j = i + 2; j <= word.length(); j++) {
-              if (flags.noMidNGrams && i != 0 && j != word.length()) {
-                continue;
-              }
-              if (flags.maxNGramLeng >= 0 && j - i > flags.maxNGramLeng) {
-                continue;
-              }
-              //subs.add(intern("#" + word.substring(i, j) + "#"));
-              subs.add(intern('#' + word.substring(i, j) + '#'));
-            }
-          }
-          if (flags.cacheNGrams) {
-            wordToSubstrings.put(cWord, subs);
-          }
-        }
-        featuresC.addAll(subs);
-        if (flags.conjoinShapeNGrams) {
-          String shape = c.get(ShapeAnnotation.class);
-          for (String str : subs) {
-            String feat = str + '-' + shape + "-CNGram-CS";
-            featuresC.add(feat);
-          }
-        }
-      }
-
-      if ((flags.wordShape > WordShapeClassifier.NOWORDSHAPE) || (flags.useShapeStrings)) {
-        featuresC.add(cShape + "-TYPE");
-      }
-
-      if (flags.useOccurrencePatterns) {
-        featuresC.addAll(occurrencePatterns(cInfo, loc));
-      }
-
-    } else if (flags.useExternal) {
-
-      if (flags.usePrev) {
-        featuresC.add(pWord + "-PW");
-      }
-
-      if (flags.useNext) {
-        featuresC.add(nWord + "-NW");
-      }
-
-      if (flags.useWordPairs) {
-        featuresC.add(cWord + '-' + pWord + "-W-PW");
-        featuresC.add(cWord + '-' + nWord + "-W-NW");
-      }
-
-      if (flags.useSymWordPairs) {
-        featuresC.add(pWord + '-' + nWord + "-SWORDS");
-      }
-
-      if ((flags.wordShape > WordShapeClassifier.NOWORDSHAPE) || (flags.useShapeStrings)) {
-        if (flags.useTypeSeqs) {
-          String pShape = p.get(ShapeAnnotation.class);
-          String nShape = n.get(ShapeAnnotation.class);
-          featuresC.add(pShape + "-PTYPE");
-          featuresC.add(nShape + "-NTYPE");
-          featuresC.add(pWord + "..." + cShape + "-PW_CTYPE");
-          featuresC.add(cShape + "..." + nWord + "-NW_CTYPE");
-          if (flags.maxLeft > 0) featuresC.add(pShape + "..." + cShape + "-PCTYPE"); // this one just isn't useful, at least given c,pc,s,ps.  Might be useful 0th-order
-          featuresC.add(cShape + "..." + nShape + "-CNTYPE");
-          featuresC.add(pShape + "..." + cShape + "..." + nShape + "-PCNTYPE");
-        }
-      }
-
-      if (flags.useLastRealWord) {
-        if (pWord.length() <= 3) {
-          featuresC.add(p2.getString(TextAnnotation.class) + "..." + cShape + "-PPW_CTYPE");
-        }
-      }
-
-      if (flags.useNextRealWord) {
-        if (nWord.length() <= 3) {
-          featuresC.add(n2.getString(TextAnnotation.class) + "..." + cShape + "-NNW_CTYPE");
-        }
-      }
-
-      if (flags.useDisjunctive) {
-        for (int i = 1; i <= flags.disjunctionWidth; i++) {
-          CoreLabel dn = cInfo.get(loc + i);
-          CoreLabel dp = cInfo.get(loc - i);
-          featuresC.add(dn.getString(TextAnnotation.class) + "-DISJN");
-          if (flags.useDisjunctiveShapeInteraction) {
-            featuresC.add(dn.getString(TextAnnotation.class) + '-' + c.get(ShapeAnnotation.class) + "-DISJN-CS");
-          }
-          featuresC.add(dp.getString(TextAnnotation.class) + "-DISJP");
-          if (flags.useDisjunctiveShapeInteraction) {
-            featuresC.add(dp.getString(TextAnnotation.class) + '-' + c.get(ShapeAnnotation.class) + "-DISJP-CS");
-          }
-        }
-      }
-
-      if (flags.useWideDisjunctive) {
-        for (int i = 1; i <= flags.wideDisjunctionWidth; i++) {
-          featuresC.add(cInfo.get(loc + i).getString(TextAnnotation.class) + "-DISJWN");
-          featuresC.add(cInfo.get(loc - i).getString(TextAnnotation.class) + "-DISJWP");
-        }
-      }
-
-      if (flags.useDisjShape) {
-        for (int i = 1; i <= flags.disjunctionWidth; i++) {
-          featuresC.add(cInfo.get(loc + i).get(ShapeAnnotation.class) + "-NDISJSHAPE");
-          // featuresC.add(cInfo.get(loc - i).get(ShapeAnnotation.class) + "-PDISJSHAPE");
-          featuresC.add(c.get(ShapeAnnotation.class) + '-' + cInfo.get(loc + i).get(ShapeAnnotation.class) + "-CNDISJSHAPE");
-          // featuresC.add(c.get(ShapeAnnotation.class) + "-" + cInfo.get(loc - i).get(ShapeAnnotation.class) + "-CPDISJSHAPE");
-        }
-      }
-
-    }
-
-    // Stuff to add binary features from the additional columns
-    if (flags.twoStage) {
-      featuresC.add(c.get(Bin1Annotation.class) + "-BIN1");
-      featuresC.add(c.get(Bin2Annotation.class) + "-BIN2");
-      featuresC.add(c.get(Bin3Annotation.class) + "-BIN3");
-      featuresC.add(c.get(Bin4Annotation.class) + "-BIN4");
-      featuresC.add(c.get(Bin5Annotation.class) + "-BIN5");
-      featuresC.add(c.get(Bin6Annotation.class) + "-BIN6");
-    }
-
-    if(flags.useIfInteger){
-      try {
-        int val = Integer.parseInt(cWord);
-        if(val > 0) featuresC.add("POSITIVE_INTEGER");
-        else if(val < 0) featuresC.add("NEGATIVE_INTEGER");
-        // System.err.println("FOUND INTEGER");
-      } catch(NumberFormatException e){
-        // not an integer value, nothing to do
-      }
-    }
-
-    //Stuff to add arbitrary features
-    if (flags.useGenericFeatures) {
-      //see if we need to cach the keys
-      if (genericAnnotationKeys == null) {
-        makeGenericKeyCache(c);
-      }
-      //now look through the cached keys
-      for (Class<? extends GenericAnnotation> key : genericAnnotationKeys) {
-        System.err.println("Adding feature: " + CoreLabel.genericValues.get(key) + " with value " + c.get(key));
-        featuresC.add(c.get(key) + "-" + CoreLabel.genericValues.get(key));
-      }
-    }
-
-    if(flags.useTopics){
-      //featuresC.add(p.get(TopicAnnotation.class) + '-' + cWord + "--CWORD");
-      featuresC.add(c.get(TopicAnnotation.class)+ "-TopicID");
-      featuresC.add(p.get(TopicAnnotation.class) + "-PTopicID");
-      featuresC.add(n.get(TopicAnnotation.class) + "-NTopicID");
-      //featuresC.add(p.get(TopicAnnotation.class) + '-' + c.get(TopicAnnotation.class) + '-' + n.get(TopicAnnotation.class) + "-PCNTopicID");
-      //featuresC.add(c.get(TopicAnnotation.class) + '-' + n.get(TopicAnnotation.class) + "-CNTopicID");
-      //featuresC.add(p.get(TopicAnnotation.class) + '-' + c.get(TopicAnnotation.class) + "-PCTopicID");
-      //featuresC.add(c.get(TopicAnnotation.class) + cShape + "-TopicID-SH");
-      //asdasd
-    }
-
-    // NER tag annotations from a previous NER system
-    if (c.get(StackedNamedEntityTagAnnotation.class) != null) {
-      featuresC.add(c.get(StackedNamedEntityTagAnnotation.class)+ "-CStackedNERTag");
-      featuresC.add(cWord + "-" + c.get(StackedNamedEntityTagAnnotation.class)+ "-WCStackedNERTag");
-
-      if (flags.useNext) {
-        featuresC.add(c.get(StackedNamedEntityTagAnnotation.class) + '-' + n.get(StackedNamedEntityTagAnnotation.class) + "-CNStackedNERTag");
-        featuresC.add(cWord + "-" + c.get(StackedNamedEntityTagAnnotation.class) + '-' + n.get(StackedNamedEntityTagAnnotation.class) + "-WCNStackedNERTag");
-
-        if (flags.usePrev) {
-          featuresC.add(p.get(StackedNamedEntityTagAnnotation.class) + '-' + c.get(StackedNamedEntityTagAnnotation.class) + '-' + n.get(StackedNamedEntityTagAnnotation.class) + "-PCNStackedNERTag");
-          featuresC.add(p.get(StackedNamedEntityTagAnnotation.class) + '-' + cWord + " -" + c.get(StackedNamedEntityTagAnnotation.class)
-              + '-' + n.get(StackedNamedEntityTagAnnotation.class) + "-PWCNStackedNERTag");
-        }
-      }
-      if (flags.usePrev) {
-        featuresC.add(p.get(StackedNamedEntityTagAnnotation.class) + '-' + c.get(StackedNamedEntityTagAnnotation.class) + "-PCStackedNERTag");
-      }
-    }
-    if(flags.useWordnetFeatures)
-      featuresC.add(c.get(WordnetSynAnnotation.class)+"-WordnetSyn");
-    if(flags.useProtoFeatures)
-      featuresC.add(c.get(ProtoAnnotation.class)+"-Proto");
-
-    return featuresC;
-  }
-
-  /**
-   * Binary feature annotations
-   */
-  private static class Bin1Annotation implements CoreAnnotation<String> {
-    public Class<String> getType() {  return String.class; } }
-
-  private static class Bin2Annotation implements CoreAnnotation<String> {
-    public Class<String> getType() {  return String.class; } }
-
-  private static class Bin3Annotation implements CoreAnnotation<String> {
-    public Class<String> getType() {  return String.class; } }
-
-  private static class Bin4Annotation implements CoreAnnotation<String> {
-    public Class<String> getType() {  return String.class; } }
-
-  private static class Bin5Annotation implements CoreAnnotation<String> {
-    public Class<String> getType() {  return String.class; } }
-
-  private static class Bin6Annotation implements CoreAnnotation<String> {
-    public Class<String> getType() {  return String.class; } }
-
-
-
-  protected Collection<String> featuresCpC(PaddedList<IN> cInfo, int loc) {
-    CoreLabel c = cInfo.get(loc);
-    CoreLabel n = cInfo.get(loc + 1);
-    CoreLabel p = cInfo.get(loc - 1);
-
-    String cWord = c.getString(TextAnnotation.class);
-    String pWord = p.getString(TextAnnotation.class);
-    String cDS = c.getString(DistSimAnnotation.class);
-    String pDS = p.getString(DistSimAnnotation.class);
-    String cShape = c.getString(ShapeAnnotation.class);
-    String pShape = p.getString(ShapeAnnotation.class);
-    Collection<String> featuresCpC = new ArrayList<String>();
-
-    if (flags.useInternal && flags.useExternal ) {
-
-      if (flags.useOrdinal) {
-        if (isOrdinal(cInfo, loc)) {
-          featuresCpC.add("C_ORDINAL");
-          if (isOrdinal(cInfo, loc-1)) {
-            featuresCpC.add("PC_ORDINAL");
-          }
-        }
-        if (isOrdinal(cInfo, loc-1)) {
-          featuresCpC.add("P_ORDINAL");
-        }
-      }
-
-      if (flags.useAbbr || flags.useMinimalAbbr) {
-        featuresCpC.add(p.get(AbbrAnnotation.class) + '-' + c.get(AbbrAnnotation.class) + "-PABBRANS");
-      }
-
-      if (flags.useAbbr1 || flags.useMinimalAbbr1) {
-        if (!c.get(AbbrAnnotation.class).equals("XX")) {
-          featuresCpC.add(p.get(AbbrAnnotation.class) + '-' + c.get(AbbrAnnotation.class) + "-PABBRANS");
-        }
-      }
-
-      if (flags.useChunkySequences) {
-        featuresCpC.add(p.get(ChunkAnnotation.class) + '-' + c.get(ChunkAnnotation.class) + '-' + n.get(ChunkAnnotation.class) + "-PCNCHUNK");
-      }
-
-      if (flags.usePrev) {
-        if (flags.useSequences && flags.usePrevSequences) {
-          featuresCpC.add("PSEQ");
-          featuresCpC.add(cWord + "-PSEQW");
-          featuresCpC.add(pWord+ '-' +cWord + "-PSEQW2");
-
-          featuresCpC.add(pWord + "-PSEQpW");
-
-          featuresCpC.add(pDS + "-PSEQpDS");
-          featuresCpC.add(cDS + "-PSEQcDS");
-          featuresCpC.add(pDS+ '-' +cDS + "-PSEQpcDS");
-
-          if (((flags.wordShape > WordShapeClassifier.NOWORDSHAPE) || flags.useShapeStrings)) {
-            featuresCpC.add(pShape + "-PSEQpS");
-            featuresCpC.add(cShape + "-PSEQcS");
-            featuresCpC.add(pShape+ '-' +cShape + "-PSEQpcS");
-          }
-        }
-      }
-
-      if (((flags.wordShape > WordShapeClassifier.NOWORDSHAPE) ||
-           flags.useShapeStrings)
-          && flags.useTypeSeqs && (flags.useTypeSeqs2 || flags.useTypeSeqs3)) {
-//         String pShape = p.get(ShapeAnnotation.class);
-//         String cShape = c.get(ShapeAnnotation.class);
-        if (flags.useTypeSeqs3) {
-          featuresCpC.add(pShape + '-' + cShape + '-' + n.get(ShapeAnnotation.class) + "-PCNSHAPES");
-        }
-        if (flags.useTypeSeqs2) {
-          featuresCpC.add(pShape + '-' + cShape + "-TYPES");
-        }
-
-        if (flags.useYetMoreCpCShapes) {
-          String p2Shape = cInfo.get(loc - 2).getString(ShapeAnnotation.class);
-          featuresCpC.add(p2Shape + '-' + pShape + '-' + cShape + "-YMS");
-          featuresCpC.add(pShape + '-' + cShape + "-" + n.getString(ShapeAnnotation.class) + "-YMSPCN");
-
-        }
-      }
-
-      if (flags.useTypeySequences) {
-        featuresCpC.add(c.get(ShapeAnnotation.class) + "-TPS2");
-        featuresCpC.add(n.get(ShapeAnnotation.class) + "-TNS1");
-        // featuresCpC.add(p.get(ShapeAnnotation.class) + "-" + c.get(ShapeAnnotation.class) + "-TPS"); // duplicates -TYPES, so now omitted; you may need to slighly increase sigma to duplicate previous results, however.
-      }
-
-      if (flags.useTaggySequences) {
-        if (flags.useTags) {
-          featuresCpC.add(p.getString(PartOfSpeechAnnotation.class) + '-' + c.getString(PartOfSpeechAnnotation.class) + "-TS");
-        }
-        if (flags.useDistSim) {
-          featuresCpC.add(p.get(DistSimAnnotation.class) + '-' + c.get(DistSimAnnotation.class) + "-DISTSIM_TS1");
-        }
-      }
-
-      if (flags.useParenMatching) {
-        if (flags.useReverse) {
-          if (cWord.equals("(") || cWord.equals("[") || cWord.equals("-LRB-")) {
-            if (p.getString(TextAnnotation.class).equals(")") || p.getString(TextAnnotation.class).equals("]") || p.getString(TextAnnotation.class).equals("-RRB-")) {
-              featuresCpC.add("PAREN-MATCH");
-            }
-          }
-        } else {
-          if (cWord.equals(")") || cWord.equals("]") || cWord.equals("-RRB-")) {
-            if (p.getString(TextAnnotation.class).equals("(") || p.getString(TextAnnotation.class).equals("[") || p.getString(TextAnnotation.class).equals("-LRB-")) {
-              featuresCpC.add("PAREN-MATCH");
-            }
-          }
-        }
-      }
-      if (flags.useEntityTypeSequences) {
-        featuresCpC.add(p.get(EntityTypeAnnotation.class) + '-' + c.get(EntityTypeAnnotation.class) + "-ETSEQ");
-      }
-      if (flags.useURLSequences) {
-        featuresCpC.add(p.get(IsURLAnnotation.class) + '-' + c.get(IsURLAnnotation.class) + "-URLSEQ");
-      }
-    } else if (flags.useInternal) {
-
-      if (flags.useSequences && flags.usePrevSequences) {
-        featuresCpC.add("PSEQ");
-        featuresCpC.add(cWord + "-PSEQW");
-      }
-
-      if (flags.useTypeySequences) {
-        featuresCpC.add(c.get(ShapeAnnotation.class) + "-TPS2");
-      }
-
-    } else if (flags.useExternal) {
-
-      if( ((flags.wordShape > WordShapeClassifier.NOWORDSHAPE) ||
-           flags.useShapeStrings)
-          && flags.useTypeSeqs && (flags.useTypeSeqs2 || flags.useTypeSeqs3)) {
-//         String pShape = p.get(ShapeAnnotation.class);
-//         String cShape = c.get(ShapeAnnotation.class);
-        if (flags.useTypeSeqs3) {
-          featuresCpC.add(pShape + '-' + cShape + '-' + n.get(ShapeAnnotation.class) + "-PCNSHAPES");
-        }
-        if (flags.useTypeSeqs2) {
-          featuresCpC.add(pShape + '-' + cShape + "-TYPES");
-        }
-      }
-
-      if (flags.useTypeySequences) {
-        featuresCpC.add(n.get(ShapeAnnotation.class) + "-TNS1");
-        featuresCpC.add(p.get(ShapeAnnotation.class) + '-' + c.get(ShapeAnnotation.class) + "-TPS");
-      }
-    }
-
-    return featuresCpC;
-  }
-
-  protected Collection<String> featuresCp2C(PaddedList<IN> cInfo, int loc) {
-    CoreLabel c = cInfo.get(loc);
-    CoreLabel p = cInfo.get(loc - 1);
-    CoreLabel p2 = cInfo.get(loc - 2);
-
-    String cWord = c.getString(TextAnnotation.class);
-    Collection<String> featuresCp2C = new ArrayList<String>();
-
-    if (flags.useMoreAbbr) {
-      featuresCp2C.add(p2.get(AbbrAnnotation.class) + '-' + c.get(AbbrAnnotation.class) + "-P2ABBRANS");
-    }
-
-    if (flags.useMinimalAbbr) {
-      featuresCp2C.add(p2.get(AbbrAnnotation.class) + '-' + c.get(AbbrAnnotation.class) + "-P2AP2CABB");
-    }
-
-    if (flags.useMinimalAbbr1) {
-      if (!c.get(AbbrAnnotation.class).equals("XX")) {
-        featuresCp2C.add(p2.get(AbbrAnnotation.class) + '-' + c.get(AbbrAnnotation.class) + "-P2AP2CABB");
-      }
-    }
-
-    if (flags.useParenMatching) {
-      if (flags.useReverse) {
-        if (cWord.equals("(") || cWord.equals("[") || cWord.equals("-LRB-")) {
-          if ((p2.getString(TextAnnotation.class).equals(")") || p2.getString(TextAnnotation.class).equals("]") || p2.getString(TextAnnotation.class).equals("-RRB-")) && ! (p.getString(TextAnnotation.class).equals(")") || p.getString(TextAnnotation.class).equals("]") || p.getString(TextAnnotation.class).equals("-RRB-"))) {
-            featuresCp2C.add("PAREN-MATCH");
-          }
-        }
-      } else {
-        if (cWord.equals(")") || cWord.equals("]") || cWord.equals("-RRB-")) {
-          if ((p2.getString(TextAnnotation.class).equals("(") || p2.getString(TextAnnotation.class).equals("[") || p2.getString(TextAnnotation.class).equals("-LRB-")) && ! (p.getString(TextAnnotation.class).equals("(") || p.getString(TextAnnotation.class).equals("[") || p.getString(TextAnnotation.class).equals("-LRB-"))) {
-            featuresCp2C.add("PAREN-MATCH");
-          }
-        }
-      }
-    }
-
-    return featuresCp2C;
-  }
-
-  protected Collection<String> featuresCp3C(PaddedList<IN> cInfo, int loc) {
-    CoreLabel c = cInfo.get(loc);
-    CoreLabel p = cInfo.get(loc - 1);
-    CoreLabel p2 = cInfo.get(loc - 2);
-    CoreLabel p3 = cInfo.get(loc - 3);
-
-    String cWord = c.getString(TextAnnotation.class);
-    Collection<String> featuresCp3C = new ArrayList<String>();
-
-    if (flags.useParenMatching) {
-      if (flags.useReverse) {
-        if (cWord.equals("(") || cWord.equals("[")) {
-          if ((flags.maxLeft >= 3) && (p3.getString(TextAnnotation.class).equals(")") || p3.getString(TextAnnotation.class).equals("]")) && !(p2.getString(TextAnnotation.class).equals(")") || p2.getString(TextAnnotation.class).equals("]") || p.getString(TextAnnotation.class).equals(")") || p.getString(TextAnnotation.class).equals("]"))) {
-            featuresCp3C.add("PAREN-MATCH");
-          }
-        }
-      } else {
-        if (cWord.equals(")") || cWord.equals("]")) {
-          if ((flags.maxLeft >= 3) && (p3.getString(TextAnnotation.class).equals("(") || p3.getString(TextAnnotation.class).equals("[")) && !(p2.getString(TextAnnotation.class).equals("(") || p2.getString(TextAnnotation.class).equals("[") || p.getString(TextAnnotation.class).equals("(") || p.getString(TextAnnotation.class).equals("["))) {
-            featuresCp3C.add("PAREN-MATCH");
-          }
-        }
-      }
-    }
-
-    return featuresCp3C;
-  }
-
-  protected Collection<String> featuresCp4C(PaddedList<IN> cInfo, int loc) {
-    CoreLabel c = cInfo.get(loc);
-    CoreLabel p = cInfo.get(loc - 1);
-    CoreLabel p2 = cInfo.get(loc - 2);
-    CoreLabel p3 = cInfo.get(loc - 3);
-    CoreLabel p4 = cInfo.get(loc - 4);
-
-    String cWord = c.getString(TextAnnotation.class);
-    Collection<String> featuresCp4C = new ArrayList<String>();
-
-    if (flags.useParenMatching) {
-      if (flags.useReverse) {
-        if (cWord.equals("(") || cWord.equals("[")) {
-          if ((flags.maxLeft >= 4) && (p4.getString(TextAnnotation.class).equals(")") || p4.getString(TextAnnotation.class).equals("]")) && !(p3.getString(TextAnnotation.class).equals(")") || p3.getString(TextAnnotation.class).equals("]") || p2.getString(TextAnnotation.class).equals(")") || p2.getString(TextAnnotation.class).equals("]") || p.getString(TextAnnotation.class).equals(")") || p.getString(TextAnnotation.class).equals("]"))) {
-            featuresCp4C.add("PAREN-MATCH");
-          }
-        }
-      } else {
-        if (cWord.equals(")") || cWord.equals("]")) {
-          if ((flags.maxLeft >= 4) && (p4.getString(TextAnnotation.class).equals("(") || p4.getString(TextAnnotation.class).equals("[")) && !(p3.getString(TextAnnotation.class).equals("(") || p3.getString(TextAnnotation.class).equals("[") || p2.getString(TextAnnotation.class).equals("(") || p2.getString(TextAnnotation.class).equals("[") || p.getString(TextAnnotation.class).equals("(") || p.getString(TextAnnotation.class).equals("["))) {
-            featuresCp4C.add("PAREN-MATCH");
-          }
-        }
-      }
-    }
-
-    return featuresCp4C;
-  }
-
-  protected Collection<String> featuresCp5C(PaddedList<IN> cInfo, int loc) {
-    CoreLabel c = cInfo.get(loc);
-    CoreLabel p = cInfo.get(loc - 1);
-    CoreLabel p2 = cInfo.get(loc - 2);
-    CoreLabel p3 = cInfo.get(loc - 3);
-    CoreLabel p4 = cInfo.get(loc - 4);
-    CoreLabel p5 = cInfo.get(loc - 5);
-
-    String cWord = c.getString(TextAnnotation.class);
-    Collection<String> featuresCp5C = new ArrayList<String>();
-
-    if (flags.useParenMatching) {
-      if (flags.useReverse) {
-        if (cWord.equals("(") || cWord.equals("[")) {
-          if ((flags.maxLeft >= 5) && (p5.getString(TextAnnotation.class).equals(")") || p5.getString(TextAnnotation.class).equals("]")) && !(p4.getString(TextAnnotation.class).equals(")") || p4.getString(TextAnnotation.class).equals("]") || p3.getString(TextAnnotation.class).equals(")") || p3.getString(TextAnnotation.class).equals("]") || p2.getString(TextAnnotation.class).equals(")") || p2.getString(TextAnnotation.class).equals("]") || p.getString(TextAnnotation.class).equals(")") || p.getString(TextAnnotation.class).equals("]"))) {
-            featuresCp5C.add("PAREN-MATCH");
-          }
-        }
-      } else {
-        if (cWord.equals(")") || cWord.equals("]")) {
-          if ((flags.maxLeft >= 5) && (p5.getString(TextAnnotation.class).equals("(") || p5.getString(TextAnnotation.class).equals("[")) && !(p4.getString(TextAnnotation.class).equals("(") || p4.getString(TextAnnotation.class).equals("[") || p3.getString(TextAnnotation.class).equals("(") || p3.getString(TextAnnotation.class).equals("[") || p2.getString(TextAnnotation.class).equals("(") || p2.getString(TextAnnotation.class).equals("[") || p.getString(TextAnnotation.class).equals("(") || p.getString(TextAnnotation.class).equals("["))) {
-            featuresCp5C.add("PAREN-MATCH");
-          }
-        }
-      }
-    }
-    return featuresCp5C;
-  }
-
-
-  protected Collection<String> featuresCpCp2C(PaddedList<IN> cInfo, int loc) {
-    CoreLabel c = cInfo.get(loc);
-    CoreLabel p = cInfo.get(loc - 1);
-    CoreLabel p2 = cInfo.get(loc - 2);
-
-    Collection<String> featuresCpCp2C = new ArrayList<String>();
-
-    if (flags.useInternal && flags.useExternal) {
-
-      if (false && flags.useTypeySequences && flags.maxLeft >= 2) {  // this feature duplicates -TYPETYPES one below, so don't include it (hurts to duplicate)!!!
-        featuresCpCp2C.add(p2.get(ShapeAnnotation.class) + '-' + p.get(ShapeAnnotation.class) + '-' + c.get(ShapeAnnotation.class) + "-TTPS");
-      }
-
-      if (flags.useAbbr) {
-        featuresCpCp2C.add(p2.get(AbbrAnnotation.class) + '-' + p.get(AbbrAnnotation.class) + '-' + c.get(AbbrAnnotation.class) + "-2PABBRANS");
-      }
-
-      if (flags.useChunks) {
-        featuresCpCp2C.add(p2.get(ChunkAnnotation.class) + '-' + p.get(ChunkAnnotation.class) + '-' + c.get(ChunkAnnotation.class) + "-2PCHUNKS");
-      }
-
-      if (flags.useLongSequences) {
-        featuresCpCp2C.add("PPSEQ");
-      }
-      if (flags.useBoundarySequences && p.getString(TextAnnotation.class).equals(CoNLLDocumentReaderAndWriter.BOUNDARY)) {
-        featuresCpCp2C.add("BNDRY-SPAN-PPSEQ");
-      }
-      // This more complex consistency checker didn't help!
-      // if (flags.useBoundarySequences) {
-      //   String pw = p.getString(TextAnnotation.class);
-      //   // try enforce consistency over "and" and "," as well as boundary now
-      //   if (pw.equals(CoNLLDocumentIteratorFactory.BOUNDARY) ||
-      //       pw.equalsIgnoreCase("and") || pw.equalsIgnoreCase("or") ||
-      //       pw.equals(",")) {
-      //   }
-      // }
-
-      if (flags.useTaggySequences) {
-        if (flags.useTags) {
-          featuresCpCp2C.add(p2.getString(PartOfSpeechAnnotation.class) + '-' + p.getString(PartOfSpeechAnnotation.class) + '-' + c.getString(PartOfSpeechAnnotation.class) + "-TTS");
-          if (flags.useTaggySequencesShapeInteraction) {
-            featuresCpCp2C.add(p2.getString(PartOfSpeechAnnotation.class) + '-' + p.getString(PartOfSpeechAnnotation.class) + '-' + c.getString(PartOfSpeechAnnotation.class) + '-' + c.get(ShapeAnnotation.class) + "-TTS-CS");
-          }
-        }
-        if (flags.useDistSim) {
-          featuresCpCp2C.add(p2.get(DistSimAnnotation.class) + '-' + p.get(DistSimAnnotation.class) + '-' + c.get(DistSimAnnotation.class) + "-DISTSIM_TTS1");
-          if (flags.useTaggySequencesShapeInteraction) {
-            featuresCpCp2C.add(p2.get(DistSimAnnotation.class) + '-' + p.get(DistSimAnnotation.class) + '-' + c.get(DistSimAnnotation.class) + '-' + c.get(ShapeAnnotation.class) + "-DISTSIM_TTS1-CS");
-          }
-        }
-      }
-
-      if (((flags.wordShape > WordShapeClassifier.NOWORDSHAPE) ||
-           flags.useShapeStrings)
-          && flags.useTypeSeqs && flags.useTypeSeqs2 && flags.maxLeft >= 2) {
-        String cShape = c.get(ShapeAnnotation.class);
-        String pShape = p.get(ShapeAnnotation.class);
-        String p2Shape = p2.get(ShapeAnnotation.class);
-        featuresCpCp2C.add(p2Shape + '-' + pShape + '-' + cShape + "-TYPETYPES");
-      }
-    } else if (flags.useInternal) {
-
-      if (flags.useLongSequences) {
-        featuresCpCp2C.add("PPSEQ");
-      }
-    } else if (flags.useExternal) {
-
-      if (flags.useLongSequences) {
-        featuresCpCp2C.add("PPSEQ");
-      }
-
-      if (((flags.wordShape > WordShapeClassifier.NOWORDSHAPE) ||
-           flags.useShapeStrings)
-          && flags.useTypeSeqs && flags.useTypeSeqs2 && flags.maxLeft >= 2) {
-        String cShape = c.get(ShapeAnnotation.class);
-        String pShape = p.get(ShapeAnnotation.class);
-        String p2Shape = p2.get(ShapeAnnotation.class);
-        featuresCpCp2C.add(p2Shape + '-' + pShape + '-' + cShape + "-TYPETYPES");
-      }
-    }
-
-    return featuresCpCp2C;
-  }
-
-
-  protected Collection<String> featuresCpCp2Cp3C(PaddedList<IN> cInfo, int loc) {
-    CoreLabel c = cInfo.get(loc);
-    CoreLabel p = cInfo.get(loc - 1);
-    CoreLabel p2 = cInfo.get(loc - 2);
-    CoreLabel p3 = cInfo.get(loc - 3);
-
-    Collection<String> featuresCpCp2Cp3C = new ArrayList<String>();
-
-    if (flags.useTaggySequences) {
-      if (flags.useTags) {
-        if (flags.maxLeft >= 3 && !flags.dontExtendTaggy) {
-          featuresCpCp2Cp3C.add(p3.getString(PartOfSpeechAnnotation.class) + '-' + p2.getString(PartOfSpeechAnnotation.class) + '-' + p.getString(PartOfSpeechAnnotation.class) + '-' + c.getString(PartOfSpeechAnnotation.class) + "-TTTS");
-          if (flags.useTaggySequencesShapeInteraction) {
-            featuresCpCp2Cp3C.add(p3.getString(PartOfSpeechAnnotation.class) + '-' + p2.getString(PartOfSpeechAnnotation.class) + '-' + p.getString(PartOfSpeechAnnotation.class) + '-' + c.getString(PartOfSpeechAnnotation.class) + '-' + c.get(ShapeAnnotation.class) + "-TTTS-CS");
-          }
-        }
-      }
-      if (flags.useDistSim) {
-        if (flags.maxLeft >= 3 && !flags.dontExtendTaggy) {
-          featuresCpCp2Cp3C.add(p3.get(DistSimAnnotation.class) + '-' + p2.get(DistSimAnnotation.class) + '-' + p.get(DistSimAnnotation.class) + '-' + c.get(DistSimAnnotation.class) + "-DISTSIM_TTTS1");
-          if (flags.useTaggySequencesShapeInteraction) {
-            featuresCpCp2Cp3C.add(p3.get(DistSimAnnotation.class) + '-' + p2.get(DistSimAnnotation.class) + '-' + p.get(DistSimAnnotation.class) + '-' + c.get(DistSimAnnotation.class) + '-' + c.get(ShapeAnnotation.class) + "-DISTSIM_TTTS1-CS");
-          }
-        }
-      }
-    }
-
-    if (flags.maxLeft >= 3) {
-      if (flags.useLongSequences) {
-        featuresCpCp2Cp3C.add("PPPSEQ");
-      }
-      if (flags.useBoundarySequences && p.getString(TextAnnotation.class).equals(CoNLLDocumentReaderAndWriter.BOUNDARY)) {
-        featuresCpCp2Cp3C.add("BNDRY-SPAN-PPPSEQ");
-      }
-    }
-
-    return featuresCpCp2Cp3C;
-  }
-
-  protected Collection<String> featuresCpCp2Cp3Cp4C(PaddedList<IN> cInfo, int loc) {
-    Collection<String> featuresCpCp2Cp3Cp4C = new ArrayList<String>();
-
-    CoreLabel p = cInfo.get(loc - 1);
-
-    if (flags.maxLeft >= 4) {
-      if (flags.useLongSequences) {
-        featuresCpCp2Cp3Cp4C.add("PPPPSEQ");
-      }
-      if (flags.useBoundarySequences && p.getString(TextAnnotation.class).equals(CoNLLDocumentReaderAndWriter.BOUNDARY)) {
-        featuresCpCp2Cp3Cp4C.add("BNDRY-SPAN-PPPPSEQ");
-      }
-    }
-
-    return featuresCpCp2Cp3Cp4C;
-  }
-
-
-  protected Collection<String> featuresCnC(PaddedList<IN> cInfo, int loc) {
-    CoreLabel c = cInfo.get(loc);
-
-    Collection<String> featuresCnC = new ArrayList<String>();
-
-    if (flags.useNext) {
-      if (flags.useSequences && flags.useNextSequences) {
-        featuresCnC.add("NSEQ");
-        featuresCnC.add(c.getString(TextAnnotation.class) + "-NSEQW");
-      }
-    }
-
-    return featuresCnC;
-  }
-
-
-  protected Collection<String> featuresCpCnC(PaddedList<IN> cInfo, int loc) {
-    CoreLabel c = cInfo.get(loc);
-
-    Collection<String> featuresCpCnC = new ArrayList<String>();
-
-    if (flags.useNext && flags.usePrev) {
-      if (flags.useSequences && flags.usePrevSequences && flags.useNextSequences) {
-        featuresCpCnC.add("PNSEQ");
-        featuresCpCnC.add(c.getString(TextAnnotation.class) + "-PNSEQW");
-      }
-    }
-
-    return featuresCpCnC;
-  }
-
-
-  int reverse(int i) {
-    return (flags.useReverse ? -1 * i : i);
-  }
-
-  private Collection<String> occurrencePatterns(PaddedList<IN> cInfo, int loc) {
-    // features on last Cap
-    String word = cInfo.get(loc).getString(TextAnnotation.class);
-    String nWord = cInfo.get(loc + reverse(1)).getString(TextAnnotation.class);
-    CoreLabel p = cInfo.get(loc - reverse(1));
-    String pWord = p.getString(TextAnnotation.class);
-    // System.err.println(word+" "+nWord);
-    if (!(isNameCase(word) && noUpperCase(nWord) && hasLetter(nWord) && hasLetter(pWord) && p != cInfo.getPad())) {
-      return Collections.singletonList("NO-OCCURRENCE-PATTERN");
-    }
-    // System.err.println("LOOKING");
-    Set<String> l = new HashSet<String>();
-    if (cInfo.get(loc - reverse(1)).getString(PartOfSpeechAnnotation.class) != null && isNameCase(pWord) && cInfo.get(loc - reverse(1)).getString(PartOfSpeechAnnotation.class).equals("NNP")) {
-      for (int jump = 3; jump < 150; jump++) {
-        if (cInfo.get(loc + reverse(jump)).getString(TextAnnotation.class).equals(word)) {
-          if (cInfo.get(loc + reverse(jump - 1)).getString(TextAnnotation.class).equals(pWord)) {
-            l.add("XY-NEXT-OCCURRENCE-XY");
-          } else {
-            l.add("XY-NEXT-OCCURRENCE-Y");
-          }
-        }
-      }
-      for (int jump = -3; jump > -150; jump--) {
-        if (cInfo.get(loc + reverse(jump)).getString(TextAnnotation.class).equals(word)) {
-          if (cInfo.get(loc + reverse(jump - 1)).getString(TextAnnotation.class).equals(pWord)) {
-            l.add("XY-PREV-OCCURRENCE-XY");
-          } else {
-            l.add("XY-PREV-OCCURRENCE-Y");
-          }
-        }
-      }
-    } else {
-      for (int jump = 3; jump < 150; jump++) {
-        if (cInfo.get(loc + reverse(jump)).getString(TextAnnotation.class).equals(word)) {
-          if (isNameCase(cInfo.get(loc + reverse(jump - 1)).getString(TextAnnotation.class)) && (cInfo.get(loc + reverse(jump - 1))).getString(PartOfSpeechAnnotation.class).equals("NNP")) {
-            l.add("X-NEXT-OCCURRENCE-YX");
-            // System.err.println(cInfo.get(loc+reverse(jump-1)).getString(TextAnnotation.class));
-          } else if (isNameCase((cInfo.get(loc + reverse(jump + 1))).getString(TextAnnotation.class)) && (cInfo.get(loc + reverse(jump + 1))).getString(PartOfSpeechAnnotation.class).equals("NNP")) {
-            // System.err.println(cInfo.get(loc+reverse(jump+1)).getString(TextAnnotation.class));
-            l.add("X-NEXT-OCCURRENCE-XY");
-          } else {
-            l.add("X-NEXT-OCCURRENCE-X");
-          }
-        }
-      }
-      for (int jump = -3; jump > -150; jump--) {
-        if (cInfo.get(loc + jump).getString(TextAnnotation.class) != null && cInfo.get(loc + jump).getString(TextAnnotation.class).equals(word)) {
-          if (isNameCase(cInfo.get(loc + reverse(jump + 1)).getString(TextAnnotation.class)) && (cInfo.get(loc + reverse(jump + 1))).getString(PartOfSpeechAnnotation.class).equals("NNP")) {
-            l.add("X-PREV-OCCURRENCE-YX");
-            // System.err.println(cInfo.get(loc+reverse(jump+1)).getString(TextAnnotation.class));
-          } else if (isNameCase(cInfo.get(loc + reverse(jump - 1)).getString(TextAnnotation.class)) && cInfo.get(loc + reverse(jump - 1)).getString(PartOfSpeechAnnotation.class).equals("NNP")) {
-            l.add("X-PREV-OCCURRENCE-XY");
-            // System.err.println(cInfo.get(loc+reverse(jump-1)).getString(TextAnnotation.class));
-          } else {
-            l.add("X-PREV-OCCURRENCE-X");
-          }
-        }
-      }
-    }
-    /*
-    if (!l.isEmpty()) {
-      System.err.println(pWord+" "+word+" "+nWord+" "+l);
-    }
-    */
-    return l;
-  }
-
-  String intern(String s) {
-    if (flags.intern) {
-      return s.intern();
-    } else {
-      return s;
-    }
-  }
-
-  public void initGazette() {
-    try {
-      // read in gazettes
-      if (flags.gazettes == null) { flags.gazettes = new ArrayList<String>(); }
-      List<String> gazettes = flags.gazettes;
-      for (String gazetteFile : gazettes) {
-        BufferedReader r = new BufferedReader(new FileReader(gazetteFile));
-        readGazette(r);
-        r.close();
-      }
-    } catch (IOException e) {
-      throw new RuntimeException(e);
-    }
-  }
-
-} // end class NERFeatureFactory
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/NERServer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/NERServer.java
deleted file mode 100644
index 05e33ab..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/NERServer.java
+++ /dev/null
@@ -1,335 +0,0 @@
-package edu.stanford.nlp.ie;
-
-import edu.stanford.nlp.ie.crf.CRFClassifier;
-import edu.stanford.nlp.util.StringUtils;
-import edu.stanford.nlp.io.EncodingPrintWriter;
-
-import java.io.BufferedReader;
-import java.io.BufferedWriter;
-import java.io.IOException;
-import java.io.InputStreamReader;
-import java.io.PrintWriter;
-import java.io.OutputStreamWriter;
-import java.net.ServerSocket;
-import java.net.Socket;
-import java.net.UnknownHostException;
-import java.util.Properties;
-
-
-/*****************************************************************************
- * A named-entity recognizer server for Stanford's NER.
- * Runs on a socket and waits for text to annotate and returns the
- * annotated text.  (Internally, it uses the <code>classifyString()</code>
- * method on a classifier, which can be either the default CRFClassifier
- * which is serialized inside the jar file from which it is called, or another
- * classifier which is passed as an argument to the main method.
- *
- * @version $Id: NERServer.java 36863 2011-07-12 22:58:19Z horatio $
- * @author
- *      Bjorn Aldag<BR>
- *      Copyright &copy; 2000 - 2004 Cycorp, Inc.  All rights reserved.
- *      Permission granted for Stanford to distribute with their NER code
- *      by Bjorn Aldag
- * @author Christopher Manning 2006 (considerably rewritten)
- *
-*****************************************************************************/
-
-public class NERServer {
-
-  //// Variables
-
-  /**
-   * Debugging toggle.
-   */
-  private boolean DEBUG = false;
-
-  private final String charset;
-
-  /**
-   * The listener socket of this server.
-   */
-  private final ServerSocket listener;
-
-  /**
-   * The classifier that does the actual tagging.
-   */
-  private final AbstractSequenceClassifier ner;
-
-
-  //// Constructors
-
-  /**
-   * Creates a new named entity recognizer server on the specified port.
-   *
-   * @param port the port this NERServer listens on.
-   * @param asc The classifier which will do the tagging
-   * @param charset The character set for encoding Strings over the socket stream, e.g., "utf-8"
-   * @throws IOException If there is a problem creating a ServerSocket
-   */
-  public NERServer(int port, AbstractSequenceClassifier asc, String charset) throws IOException {
-    ner = asc;
-    listener = new ServerSocket(port);
-    this.charset = charset;
-  }
-
-  //// Public Methods
-
-  /**
-   * Runs this named entity recognizer server.
-   */
-  @SuppressWarnings({"InfiniteLoopStatement", "ConstantConditions", "null"})
-  public void run() {
-    Socket client = null;
-    while (true) {
-      try {
-        client = listener.accept();
-        if (DEBUG) {
-          System.err.print("Accepted request from ");
-          System.err.println(client.getInetAddress().getHostName());
-        }
-        new Session(client);
-      } catch (Exception e1) {
-        System.err.println("NERServer: couldn't accept");
-        e1.printStackTrace(System.err);
-        try {
-          client.close();
-        } catch (Exception e2) {
-          System.err.println("NERServer: couldn't close client");
-          e2.printStackTrace(System.err);
-        }
-      }
-    }
-  }
-
-
-  //// Inner Classes
-
-  /**
-   * A single user session, accepting one request, processing it, and
-   * sending back the results.
-   */
-  private class Session extends Thread {
-
-  //// Instance Fields
-
-    /**
-     * The socket to the client.
-     */
-    private final Socket client;
-
-    /**
-     * The input stream from the client.
-     */
-    private final BufferedReader in;
-
-    /**
-     * The output stream to the client.
-     */
-    private PrintWriter out;
-
-
-    //// Constructors
-
-    private Session(Socket socket) throws IOException {
-      client = socket;
-      in = new BufferedReader(new InputStreamReader(client.getInputStream(), charset));
-      out = new PrintWriter(new OutputStreamWriter(client.getOutputStream(), charset));
-      start();
-    }
-
-
-    //// Public Methods
-
-    /**
-     * Runs this session by reading a string, tagging it, and writing
-     * back the result.  The input should be a single line (no embedded
-     * newlines), which represents a whole sentence or document.
-     */
-    @Override
-    public void run() {
-      if (DEBUG) {System.err.println("Created new session");}
-      String input = null;
-      try {
-        // TODO: why not allow for multiple lines of input?
-        input = in.readLine();
-        if (DEBUG) {
-          EncodingPrintWriter.err.println("Receiving: \"" + input + '\"', charset);
-        }
-      } catch (IOException e) {
-        System.err.println("NERServer:Session: couldn't read input");
-        e.printStackTrace(System.err);
-      } catch (NullPointerException npe) {
-        System.err.println("NERServer:Session: connection closed by peer");
-        npe.printStackTrace(System.err);
-      }
-      try {
-        if (! (input == null)) {
-          String output = 
-            ner.classifyToString(input, ner.flags.outputFormat, 
-                                 !"slashTags".equals(ner.flags.outputFormat));
-          
-          if (DEBUG) {
-            EncodingPrintWriter.err.println("Sending: \"" + output + '\"', charset);
-          }
-          out.print(output);
-          out.flush();
-        }
-      } catch (RuntimeException e) {
-        // ah well, guess they won't be hearing back from us after all
-      }
-      close();
-    }
-
-    /**
-     * Terminates this session gracefully.
-     */
-    private void close() {
-      try {
-        in.close();
-        out.close();
-        client.close();
-      } catch (Exception e) {
-        System.err.println("NERServer:Session: can't close session");
-        e.printStackTrace(System.err);
-      }
-    }
-
-  } // end class Session
-
-  /** This example sends material to the NER server one line at a time.
-   *  Each line should be at least a whole sentence, or can be a whole
-   *  document.
-   */
-  public static class NERClient {
-
-    private NERClient() {}
-
-    public static void communicateWithNERServer(String host, int port,
-                                                String charset) 
-      throws IOException
-    {
-      System.out.println("Input some text and press RETURN to NER tag it, " +
-                         " or just RETURN to finish.");
-
-      BufferedReader stdIn = 
-        new BufferedReader(new InputStreamReader(System.in, charset));
-      communicateWithNERServer(host, port, charset, stdIn, null, true);
-      stdIn.close();
-    }
-
-    public static void communicateWithNERServer(String host, int port, 
-                                                String charset, 
-                                                BufferedReader input,
-                                                BufferedWriter output,
-                                                boolean closeOnBlank)
-      throws IOException 
-    {
-      if (host == null) {
-        host = "localhost";
-      }
-
-      for (String userInput; (userInput = input.readLine()) != null; ) {
-        if (userInput.matches("\\n?")) {
-          if (closeOnBlank) {
-            break;
-          } else {
-            continue;
-          }
-        }
-        try {
-          // TODO: why not keep the same socket for multiple lines?
-          Socket socket = new Socket(host, port);
-          PrintWriter out = new PrintWriter(new OutputStreamWriter(socket.getOutputStream(), charset), true);
-          BufferedReader in = new BufferedReader(new InputStreamReader(
-                  socket.getInputStream(), charset));
-          // send material to NER to socket
-          out.println(userInput);
-          // Print the results of NER
-          String result;
-          while ((result = in.readLine()) != null) {
-            if (output == null) {
-              EncodingPrintWriter.out.println(result, charset);
-            } else {
-              output.write(result);
-              output.newLine();
-            }
-          }
-          in.close();
-          socket.close();
-        } catch (UnknownHostException e) {
-          System.err.print("Cannot find host: ");
-          System.err.println(host);
-          return;
-        } catch (IOException e) {
-          System.err.print("I/O error in the connection to: ");
-          System.err.println(host);
-          return;
-        }
-      }
-    }
-  } // end static class NERClient
-
-
-  private static final String USAGE = "Usage: NERServer [-loadClassifier file|-loadJarClassifier resource|-client] -port portNumber";
-
-  /**
-   * Starts this server on the specified port.  The classifier used can be
-   * either a default one stored in the jar file from which this code is
-   * invoked or you can specify it as a filename or as another classifier
-   * resource name, which must correspond to the name of a resource in the
-   * /classifiers/ directory of the jar file.
-   * <p>
-   * Usage: <code>java edu.stanford.nlp.ie.NERServer [-loadClassifier file|-loadJarClassifier resource|-client] -port portNumber</code>
-   *
-   * @param args Command-line arguments (described above)
-   * @throws Exception If file or Java class problems with serialized classifier
-   */
-  @SuppressWarnings({"StringEqualsEmptyString"})
-  public static void main (String[] args) throws Exception {
-    Properties props = StringUtils.argsToProperties(args);
-    String loadFile = props.getProperty("loadClassifier");
-    String loadJarFile = props.getProperty("loadJarClassifier");
-    String client = props.getProperty("client");
-    String portStr = props.getProperty("port");
-    props.remove("port"); // so later code doesn't complain
-    if (portStr == null || portStr.equals("")) {
-      System.err.println(USAGE);
-      return;
-    }
-    String charset = "utf-8";
-    String encoding = props.getProperty("encoding");
-    if (encoding != null && ! "".equals(encoding)) {
-      charset = encoding;
-    }
-    int port;
-    try {
-      port = Integer.parseInt(portStr);
-    } catch (NumberFormatException e) {
-      System.err.println("Non-numerical port");
-      System.err.println(USAGE);
-      return;
-    }
-    // default output format for if no output format is specified
-    if (props.getProperty("outputFormat") == null) {
-      props.setProperty("outputFormat", "slashTags");
-    }
-
-    if (client != null && ! client.equals("")) {
-      // run a test client for illustration/testing
-      String host = props.getProperty("host");
-      NERClient.communicateWithNERServer(host, port, charset);
-    } else {
-      AbstractSequenceClassifier asc;
-      if (loadFile != null && ! loadFile.equals("")) {
-        asc = CRFClassifier.getClassifier(loadFile, props);
-      } else if (loadJarFile != null && ! loadJarFile.equals("")) {
-        asc = CRFClassifier.getJarClassifier(loadJarFile, props);
-      } else {
-        asc = CRFClassifier.getDefaultClassifier(props);
-      }
-
-      new NERServer(port, asc, charset).run();
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/SeminarsPrior.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/SeminarsPrior.java
deleted file mode 100644
index 4969d6e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/SeminarsPrior.java
+++ /dev/null
@@ -1,186 +0,0 @@
-package edu.stanford.nlp.ie;
-
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.StringUtils;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.ie.pascal.AcronymModel;
-import edu.stanford.nlp.ling.CoreAnnotations;
-
-
-import java.util.*;
-
-/**
- * @author Jenny Finkel
- */
-
-public class SeminarsPrior<IN extends CoreMap> extends EntityCachingAbstractSequencePrior<IN> {
-
-  //double penalty = 4.0;
-  double penalty = 2.3;
-  //double penalty1 = 3.0;
-  //double penalty2 = 4.0;
-
-  public SeminarsPrior(String backgroundSymbol, Index<String> classIndex, List<IN> doc) {
-    super(backgroundSymbol, classIndex, doc);
-    init(doc);
-  }
-
-  private void init(List<IN> doc) {
-
-    interned = new String[doc.size()];
-    int i = 0;
-    for (IN wi : doc) {
-      interned[i++] = wi.get(CoreAnnotations.TextAnnotation.class).toLowerCase().intern();
-    }
-
-  }
-
-  private String[] interned;
-
-  public double scoreOf(int[] sequence) {
-
-    Set<String> speakers = new HashSet<String>();
-    Set<String> locations = new HashSet<String>();
-    Set<String> stimes = new HashSet<String>();
-    Set<String> etimes = new HashSet<String>();
-
-    List<Entity> speakersL = new ArrayList<Entity>();
-    List<Entity> locationsL = new  ArrayList<Entity>();
-    List<Entity> stimesL = new  ArrayList<Entity>();
-    List<Entity> etimesL = new  ArrayList<Entity>();
-
-    double p = 0.0;
-    for (int i = 0; i < entities.length; i++) {
-      Entity entity = entities[i];
-      if ((i == 0 || entities[i-1] != entity) && entity != null) {
-
-        String type = classIndex.get(entity.type);
-        String phrase = StringUtils.join(entity.words, " ").toLowerCase();
-        if (type.equalsIgnoreCase("SPEAKER")) {
-          speakers.add(phrase);
-          speakersL.add(entity);
-        } else if (type.equalsIgnoreCase("LOCATION")) {
-          locations.add(phrase);
-          locationsL.add(entity);
-        } else if (type.equals("STIME")) {
-          stimes.add(phrase);
-          stimesL.add(entity);
-        } else if (type.equals("ETIME")) {
-          etimes.add(phrase);
-          etimesL.add(entity);
-        } else {
-          System.err.println("unknown entity type: "+type);
-          System.exit(0);
-        }
-      }
-    }
-    
-    for (Entity stimeE : stimesL) {
-      if (stimes.size() == 1) { break; }
-      String stime = StringUtils.join(stimeE.words, " ");
-      String time = "";
-      for (char c : stime.toCharArray()) {
-        if (c >= '0' && c <= '9') {
-          time += c;
-        }
-      }
-      if (time.length() == 1 || time.length() == 2) { time = time+"00"; }
-      boolean match = false;
-      for (String stime1 : stimes) {
-        String time1 = "";
-        for (char c : stime1.toCharArray()) {
-          if (c >= '0' && c <= '9') {
-            time1 += c;
-          }
-        }
-        if (time1.length() == 1 || time1.length() == 2) { time1 = time1+"00"; }
-        if (!time.equals(time1)) {
-          p -= stimeE.words.size() * penalty;
-          //System.err.println(time+" ("+s+") "+time1+" ("+s1+") "+stimes);
-        }
-      }
-    }
-
-
-    for (Entity etimeE : etimesL) {
-      if (etimes.size() == 1) { break; }
-      String etime = StringUtils.join(etimeE.words, " ");
-      String time = "";
-      for (char c : etime.toCharArray()) {
-        if (c >= '0' && c <= '9') {
-          time += c;
-        }
-      }
-      if (time.length() == 1 || time.length() == 2) { time = time+"00"; }
-      boolean match = false;
-      for (String etime1 : etimes) {
-        String time1 = "";
-        for (char c : etime1.toCharArray()) {
-          if (c >= '0' && c <= '9') {
-            time1 += c;
-          }
-        }
-        if (time1.length() == 1 || time1.length() == 2) { time1 = time1+"00"; }
-        if (!time.equals(time1)) {
-          p -= etimeE.words.size() * penalty;
-          //System.err.println(time+" ("+s+") "+time1+" ("+s1+") "+etimes);
-        }
-      }
-    }
-
-//     for (Entity locationE : locationsL) {
-//       String location = StringUtils.join(locationE.words, " ");
-//       for (String location1 : locations) {
-//         String s1 = location;
-//         String s2 = location1;
-//         if (s2.length() > s1.length()) {
-//           String tmp = s2;
-//           s2 = s1;
-//           s1 = tmp;
-//         }       
-//         Pair<String,String> pair = new Pair(s1, s2);
-//         Boolean b = aliasLocCache.get(pair);
-//         if (b == null) {
-//           double d = acronymModel.HearstSimilarity(s1, s2);
-//           b = (d >= 0.7);
-//           aliasLocCache.put(pair, b);
-//         }
-//         if (!b) {
-//           p -= locationE.words.size() * penalty;
-//         }
-//       }
-//     }
-
-    int speakerIndex = classIndex.indexOf("SPEAKER");
-
-    for (Entity speakerE : speakersL) {     
-      //String lastName = speakerE.words.get(speakerE.words.size()-1);
-      String lastName = interned[speakerE.startPosition+speakerE.words.size()-1];
-      
-      for (int i = 0; i < interned.length; i++) {
-        String w = interned[i];
-        if (w == lastName) {
-          if (sequence[i] != speakerIndex) {
-            p -= penalty;
-          }
-        }
-      }
-    }
-
-    return p;
-  }
-  
-  private static Map<Pair<String, String>, Boolean> aliasLocCache = new HashMap<Pair<String, String>, Boolean>();
-
-  private static AcronymModel acronymModel;
-
-  static {
-    try {
-      acronymModel = new AcronymModel();
-    } catch (Exception e) {
-      throw new RuntimeException(e.getMessage());
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/UniformPrior.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/UniformPrior.java
deleted file mode 100644
index 5ae102b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/UniformPrior.java
+++ /dev/null
@@ -1,71 +0,0 @@
-package edu.stanford.nlp.ie;
-
-import java.util.List;
-
-import edu.stanford.nlp.sequences.SequenceListener;
-import edu.stanford.nlp.sequences.SequenceModel;
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.Index;
-
-/**
- * Uniform prior to be used for generic Gibbs inference in the ie.crf.CRFClassifier 
- * @author Mihai
- *
- */
-public class UniformPrior<IN extends CoreMap> implements SequenceModel, SequenceListener {
-  
-  protected int[] sequence;
-  protected int backgroundSymbol;
-  protected int numClasses;
-  protected int[] possibleValues;
-  protected Index<String> classIndex;
-  protected List<IN> doc;
-
-  public UniformPrior(String backgroundSymbol, Index<String> classIndex, List<IN> doc) {
-    this.classIndex = classIndex;
-    this.backgroundSymbol = classIndex.indexOf(backgroundSymbol);
-    this.numClasses = classIndex.size();
-    this.possibleValues = new int[numClasses];
-    for (int i=0; i<numClasses; i++) {
-      possibleValues[i] = i;
-    }
-    this.doc = doc;
-  }
-
-  public double scoreOf(int[] sequence) {
-    return 0;
-  }
-  
-  public  double[] scoresOf (int[] sequence, int position) {
-    double[] probs = new double[numClasses];
-    for(int i = 0; i < probs.length; i ++)
-      probs[i] = 0.0;
-    return probs;
-  }
-
-  public int[] getPossibleValues(int position) {
-    return possibleValues;
-  }
-
-  public int leftWindow() {
-    return Integer.MAX_VALUE; // not Markovian!
-  }
-
-  public int length() {
-    return doc.size();
-  }
-
-  public int rightWindow() {
-    return Integer.MAX_VALUE; // not Markovian!
-  }
-
-  public double scoreOf(int[] sequence, int position) {
-    return 0.0;
-  }
-
-  public void setInitialSequence(int[] sequence) {
-  }
-
-  public void updateSequenceElement(int[] sequence, int pos, int oldVal) {
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFClassifier.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFClassifier.java
deleted file mode 100644
index 9a2378a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFClassifier.java
+++ /dev/null
@@ -1,2377 +0,0 @@
-// CRFClassifier -- a probabilistic (CRF) sequence model, mainly used for NER.
-// Copyright (c) 2002-2008 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    Support/Questions: java-nlp-user@lists.stanford.edu
-//    Licensing: java-nlp-support@lists.stanford.edu
-//    http://nlp.stanford.edu/downloads/crf-classifier.shtml
-
-package edu.stanford.nlp.ie.crf;
-
-import edu.stanford.nlp.ie.*;
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations;
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.maxent.Convert;
-import edu.stanford.nlp.objectbank.ObjectBank;
-import edu.stanford.nlp.optimization.*;
-import edu.stanford.nlp.sequences.*;
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.stats.Counter;
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.HashIndex;
-import edu.stanford.nlp.util.PaddedList;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.ReflectionLoading;
-import edu.stanford.nlp.util.StringUtils;
-import edu.stanford.nlp.util.Timing;
-
-import java.io.*;
-import java.lang.reflect.InvocationTargetException;
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-import java.util.*;
-import java.util.zip.GZIPInputStream;
-import java.util.zip.GZIPOutputStream;
-
-/**
- * Class for Sequence Classification using a Conditional Random Field model.
- * The code has functionality for different document formats, but when
- * using the standard {@link edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter} for training
- * or testing models, input files are expected to
- * be one token per line with the columns indicating things like the word,
- * POS, chunk, and answer class.  The default for
- * <code>ColumnDocumentReaderAndWriter</code> training data is 3 column input,
- * with the columns containing a word, its POS, and its gold class, but
- * this can be specified via the <code>map</code> property.
- * </p>
- * When run on a file with <code>-textFile</code>,
- * the file is assumed to be plain English text (or perhaps simple HTML/XML),
- * and a reasonable attempt is made at English tokenization by
- * {@link PlainTextDocumentReaderAndWriter}.
- * </p>
- * <b>Typical command-line usage</b>
- * <p>For running a trained model with a provided serialized classifier on a
- * text file: <p>
- * <code>
- * java -mx500m edu.stanford.nlp.ie.crf.CRFClassifier -loadClassifier
- * conll.ner.gz -textFile samplesentences.txt
- * </code><p>
- * When specifying all parameters in a properties file (train, test, or
- * runtime):<p>
- * <code>
- * java -mx1g edu.stanford.nlp.ie.crf.CRFClassifier -prop propFile
- * </code><p>
- * To train and test a simple NER model from the command line:<br>
- * <code>java -mx1000m edu.stanford.nlp.ie.crf.CRFClassifier
- * -trainFile trainFile -testFile testFile -macro &gt; output </code>
- * </p>
- * <p>
- * To train with multiple files:
- * <br>
- * <code>java -mx1000m edu.stanford.nlp.ie.crf.CRFClassifier
- * -trainFileList file1,file2,... -testFile testFile -macro &gt; output</code>
- * </p>
- * Features are defined by a {@link edu.stanford.nlp.sequences.FeatureFactory}.
- * {@link NERFeatureFactory} is used by default, and
- * you should look there for feature templates and properties or flags that
- * will cause certain features to be used when training an NER classifier.
- * There is also
- * a {@link edu.stanford.nlp.wordseg.SighanFeatureFactory}, and various
- * successors such as
- * {@link edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory},
- * which are used for Chinese word segmentation.
- * Features are specified either by a Properties file (which is the
- * recommended method) or by flags on the command line.  The flags are read
- * into a {@link SeqClassifierFlags} object, which the
- * user need not be concerned with, unless wishing to add new features.
- * </p>
- * CRFClassifier may also be used programmatically.  When creating a new
- * instance, you <i>must</i> specify a Properties object.  You may then
- * call train methods to train a classifier, or load a classifier.
- * The other way to get a CRFClassifier is to deserialize one via
- * the static {@link CRFClassifier#getClassifier(String)} methods, which
- * return a deserialized
- * classifier.  You may then tag (classify the items of) documents
- * using either the assorted
- * <code>classify()</code> or the assorted <code>classify</code> methods in
- * {@link AbstractSequenceClassifier}.
- * Probabilities assigned by the CRF can be interrogated using either the
- * <code>printProbsDocument()</code> or
- * <code>getCliqueTrees()</code> methods.
- *
- * @author Jenny Finkel
- * @author Sonal Gupta (made the class generic)
- */
-public class CRFClassifier<IN extends CoreMap> extends AbstractSequenceClassifier<IN>  {
-
-  Index<CRFLabel>[] labelIndices;
-  /** Parameter weights of the classifier. */
-  double[][] weights;
-  Index<String> featureIndex;
-  int[] map;  // caches the featureIndex
-
-  /** Name of default serialized classifier resource to look for in a jar file.
-   */
-  public static final String DEFAULT_CLASSIFIER = "/classifiers/ner-eng-ie.crf-3-all2008.ser.gz";
-  private static final boolean VERBOSE = false;
-
-  // List selftraindatums = new ArrayList();
-
-
-  protected CRFClassifier() {
-    super(new SeqClassifierFlags());
-  }
-
-  public CRFClassifier(Properties props) {
-    super(props);
-  }
-
-  public CRFClassifier(SeqClassifierFlags flags) {
-    super(flags);
-  }
-
-  /**
-   * Makes a copy of the crf classifier
-   */
-  public CRFClassifier(CRFClassifier<IN> crf)
-  {
-    super(crf.flags);
-    this.windowSize = crf.windowSize;
-    this.featureFactory = crf.featureFactory;
-    this.pad = crf.pad;
-    this.knownLCWords = (crf.knownLCWords != null)? new HashSet<String>(crf.knownLCWords): null;
-    this.featureIndex = (crf.featureIndex != null)?
-            new HashIndex<String>(crf.featureIndex.objectsList()):null;
-    this.classIndex = (crf.classIndex != null)?
-            new HashIndex<String>(crf.classIndex.objectsList()):null;
-    if (crf.labelIndices != null) {
-      this.labelIndices = new HashIndex[crf.labelIndices.length];
-      for (int i = 0; i < crf.labelIndices.length; i++) {
-        this.labelIndices[i] = (crf.labelIndices[i] != null)?
-          new HashIndex<CRFLabel>(crf.labelIndices[i].objectsList()): null;
-      }
-    } else {
-      this.labelIndices = null;
-    }
-    int numFeatures = featureIndex != null ? featureIndex.size() : 0;
-    weights = new double[numFeatures][];
-    for (int i = 0; i < numFeatures; i++) {
-      String feature = featureIndex.get(i);
-      int index = crf.featureIndex.indexOf(feature);
-      weights[i] = new double[crf.weights[index].length];
-      System.arraycopy(crf.weights[index], 0, weights[i], 0, weights[i].length);
-    }
-  }
-
-  /**
-   * Returns the total number of weights associated with this classifier.
-   * @return number of weights
-   */
-  public int getNumWeights()
-  {
-    if (weights == null) return 0;
-    int numWeights = 0;
-    for (double[] wts : weights) {
-      numWeights += wts.length;
-    }
-    return numWeights;
-  }
-
-  /**
-   * Get index of featureType for feature indexed by i.
-   * (featureType index is used to index labelIndices to get labels.)
-   *
-   * @param i feature index
-   * @return index of featureType
-   */
-  private int getFeatureTypeIndex(int i)
-  {
-    return getFeatureTypeIndex(featureIndex.get(i));
-  }
-
-  /**
-   * Get index of featureType for feature based on the feature string
-   * (featureType index used to index labelIndices to get labels)
-   * @param feature feature string
-   * @return index of featureType
-   */
-  private static int getFeatureTypeIndex(String feature)
-  {
-    if (feature.endsWith("|C")) {
-      return 0;
-    } else if (feature.endsWith("|CpC")) {
-      return 1;
-    } else if (feature.endsWith("|Cp2C")) {
-      return 2;
-    } else if (feature.endsWith("|Cp3C")) {
-      return 3;
-    } else if (feature.endsWith("|Cp4C")) {
-      return 4;
-    } else if (feature.endsWith("|Cp5C")) {
-      return 5;
-    } else {
-      throw new RuntimeException("Unknown feature type " + feature);
-    }
-  }
-
-  /**
-   * Scales the weights of this crfclassifier by the specified weight
-   * @param scale
-   */
-  public void scaleWeights(double scale)
-  {
-    for (int i = 0; i < weights.length; i++) {
-      for (int j = 0; j < weights[i].length; j++) {
-        weights[i][j] *= scale;
-      }
-    }
-  }
-
-  /**
-   * Combines weights from another crf (scaled by weight) into this crf's weights
-   *  (assumes that this crf's indices have already been updated to include
-   *   features/labels from the other crf)
-   * @param crf Other crf whose weights to combine into this crf
-   * @param weight amount to scale the other crf's weights by
-   */
-  private void combineWeights(CRFClassifier<IN> crf, double weight)
-  {
-    int numFeatures = featureIndex.size();
-    int oldNumFeatures = weights.length;
-
-    // Create a map of other crf labels to this crf labels
-    Map<CRFLabel,CRFLabel> crfLabelMap = new HashMap<CRFLabel,CRFLabel>();
-    for (int i = 0; i < crf.labelIndices.length; i++) {
-      for (int j=0; j < crf.labelIndices[i].size(); j++) {
-        CRFLabel labels = crf.labelIndices[i].get(j);
-        int[] newLabelIndices = new int[i+1];
-        for (int ci=0; ci<=i; ci++) {
-          String classLabel = crf.classIndex.get(labels.getLabel()[ci]);
-          newLabelIndices[ci] = this.classIndex.indexOf(classLabel);
-        }
-        CRFLabel newLabels = new CRFLabel(newLabelIndices);
-        crfLabelMap.put(labels, newLabels);
-        int k = this.labelIndices[i].indexOf(newLabels);  // the indexing is needed, even when not printed out!
-        //System.err.println("LabelIndices " + i + " " + labels + ": " + j + " mapped to " + k);
-      }
-    }
-
-    // Create map of featureIndex to featureTypeIndex
-    map = new int[numFeatures];
-    for (int i=0; i < numFeatures; i++) {
-      map[i] = getFeatureTypeIndex(i);
-    }
-
-    // Create new weights
-    double[][] newWeights = new double[numFeatures][];
-    for (int i = 0; i < numFeatures; i++) {
-      int length = labelIndices[map[i]].size();
-      newWeights[i] = new double[length];
-      if (i < oldNumFeatures) {
-        assert(length >= weights[i].length);
-        System.arraycopy(weights[i], 0, newWeights[i], 0, weights[i].length);
-      }
-    }
-    weights = newWeights;
-
-    // Get original weight indices from other crf and weight them in
-    // depending on the type of the feature, different number of weights is associated with it
-    for (int i = 0; i < crf.weights.length; i++) {
-      String feature = crf.featureIndex.get(i);
-      int newIndex = featureIndex.indexOf(feature);
-      // Check weights are okay dimension
-      if (weights[newIndex].length < crf.weights[i].length) {
-        throw new RuntimeException("Incompatible CRFClassifier: weight length mismatch for feature "
-          + newIndex + ": " + featureIndex.get(newIndex)
-          + " (also feature " + i + ": " + crf.featureIndex.get(i) + ") "
-          + ", len1=" + weights[newIndex].length + ", len2=" + crf.weights[i].length);
-      }
-      int featureTypeIndex = map[newIndex];
-      for (int j=0; j < crf.weights[i].length; j++) {
-        CRFLabel labels = crf.labelIndices[featureTypeIndex].get(j);
-        CRFLabel newLabels = crfLabelMap.get(labels);
-        int k = this.labelIndices[featureTypeIndex].indexOf(newLabels);
-        weights[newIndex][k] += crf.weights[i][j]*weight;
-      }
-    }
-  }
-
-  /**
-   * Combines weighted crf with this crf
-   * @param crf
-   * @param weight
-   */
-  public void combine(CRFClassifier<IN> crf, double weight)
-  {
-    Timing timer = new Timing();
-
-    // Check the CRFClassifiers are compatible
-    if (!this.pad.equals(crf.pad)) {
-      throw new RuntimeException("Incompatible CRFClassifier: pad does not match");
-    }
-    if (this.windowSize != crf.windowSize) {
-      throw new RuntimeException("Incompatible CRFClassifier: windowSize does not match");
-    }
-    if (this.labelIndices.length != crf.labelIndices.length) {
-      // Should match since this should be same as the windowSize
-      throw new RuntimeException("Incompatible CRFClassifier: labelIndices length does not match");
-    }
-    this.classIndex.addAll(crf.classIndex.objectsList());
-
-    // Combine weights of the other classifier with this classifier,
-    // weighing the other classifier's weights by weight
-    // First merge the feature indicies
-    int oldNumFeatures1 = this.featureIndex.size();
-    int oldNumFeatures2 = crf.featureIndex.size();
-    int oldNumWeights1 = this.getNumWeights();
-    int oldNumWeights2 = crf.getNumWeights();
-    this.featureIndex.addAll(crf.featureIndex.objectsList());
-    this.knownLCWords.addAll(crf.knownLCWords);
-    assert(weights.length == oldNumFeatures1);
-
-    // Combine weights of this classifier with other classifier
-    for (int i = 0; i < labelIndices.length; i++) {
-      this.labelIndices[i].addAll(crf.labelIndices[i].objectsList());
-    }
-    System.err.println("Combining weights: will automatically match labelIndices");
-    combineWeights(crf, weight);
-
-    int numFeatures = featureIndex.size();
-    int numWeights = getNumWeights();
-    long elapsedMs = timer.stop();
-    System.err.println("numFeatures: orig1=" + oldNumFeatures1 + ", orig2=" + oldNumFeatures2
-            + ", combined=" + numFeatures);
-    System.err.println("numWeights: orig1=" + oldNumWeights1 + ", orig2=" + oldNumWeights2
-            + ", combined=" + numWeights);
-    System.err.println("Time to combine CRFClassifier: " + Timing.toSecondsString(elapsedMs) + " seconds");
-  }
-
-  public void dropFeaturesBelowThreshold(double threshold) {
-    Index<String> newFeatureIndex = new HashIndex<String>();
-    for (int i = 0; i < weights.length; i++) {
-      double smallest = weights[i][0];
-      double biggest = weights[i][0];
-      for (int j = 1; j < weights[i].length; j++) {
-        if (weights[i][j] > biggest) {
-          biggest = weights[i][j];
-        }
-        if (weights[i][j] < smallest) {
-          smallest = weights[i][j];
-        }
-        if (biggest - smallest > threshold) {
-          newFeatureIndex.add(featureIndex.get(i));
-          break;
-        }
-      }
-    }
-
-    int[] newMap = new int[newFeatureIndex.size()];
-    for (int i = 0; i < newMap.length; i++) {
-      int index = featureIndex.indexOf(newFeatureIndex.get(i));
-      newMap[i] = map[index];
-    }
-    map = newMap;
-    featureIndex = newFeatureIndex;
-  }
-
-  /**
-   * Convert a document List into arrays storing the data features and labels.
-   *
-   * @param document Training documents
-   * @return A Pair, where the first element is an int[][][] representing the data
-   *         and the second element is an int[] representing the labels
-   */
-  public Pair<int[][][],int[]> documentToDataAndLabels(List<IN> document) {
-
-    int docSize = document.size();
-    // first index is position in the document also the index of the clique/factor table
-    // second index is the number of elements in the clique/window these features are for (starting with last element)
-    // third index is position of the feature in the array that holds them
-    // element in data[j][k][m] is the index of the mth feature occurring in position k of the jth clique
-    int[][][] data = new int[docSize][windowSize][];
-    // index is the position in the document
-    // element in labels[j] is the index of the correct label (if it exists) at position j of document
-    int[] labels = new int[docSize];
-
-    if (flags.useReverse) {
-      Collections.reverse(document);
-    }
-
-    //System.err.println("docSize:"+docSize);
-    for (int j = 0; j < docSize; j++) {
-      CRFDatum<List<String>,CRFLabel> d = makeDatum(document, j, featureFactory);
-
-      List<List<String>> features = d.asFeatures();
-      for (int k = 0, fSize = features.size(); k < fSize; k++) {
-        Collection<String> cliqueFeatures = features.get(k);
-        data[j][k] = new int[cliqueFeatures.size()];
-        int m = 0;
-        for (String feature : cliqueFeatures) {
-          int index = featureIndex.indexOf(feature);
-          if (index >= 0) {
-            data[j][k][m] = index;
-            m++;
-          } else {
-            // this is where we end up when we do feature threshold cutoffs
-          }
-        }
-        // Reduce memory use when some features were cut out by threshold
-        if (m < data[j][k].length) {
-          int[] f = new int[m];
-          System.arraycopy(data[j][k], 0, f, 0, m);
-          data[j][k] = f;
-        }
-      }
-
-      IN wi = document.get(j);
-      labels[j] = classIndex.indexOf(wi.get(AnswerAnnotation.class));
-    }
-
-    if (flags.useReverse) {
-      Collections.reverse(document);
-    }
-
-    // 	System.err.println("numClasses: "+classIndex.size()+" "+classIndex);
-    // 	System.err.println("numDocuments: 1");
-    // 	System.err.println("numDatums: "+data.length);
-    // 	System.err.println("numFeatures: "+featureIndex.size());
-
-    return new Pair<int[][][],int[]>(data, labels);
-  }
-
-
-  public void printLabelInformation(String testFile,
-                                    DocumentReaderAndWriter readerAndWriter)
-    throws Exception
-  {
-    ObjectBank<List<IN>> documents =
-      makeObjectBankFromFile(testFile, readerAndWriter);
-    for (List<IN> document : documents) {
-      printLabelValue(document);
-    }
-  }
-
-
-  public void printLabelValue(List<IN> document) {
-
-    if (flags.useReverse) {
-      Collections.reverse(document);
-    }
-
-    NumberFormat nf = new DecimalFormat();
-
-    List<String> classes = new ArrayList<String>();
-    for (int i = 0; i < classIndex.size(); i++) {
-      classes.add(classIndex.get(i));
-    }
-    String[] columnHeaders = classes.toArray(new String[classes.size()]);
-
-    //System.err.println("docSize:"+docSize);
-    for (int j = 0; j < document.size(); j++) {
-
-      System.out.println("--== "+document.get(j).get(TextAnnotation.class)+" ==--");
-
-      List<String[]> lines = new ArrayList<String[]>();
-      List<String> rowHeaders = new ArrayList<String>();
-      List<String> line = new ArrayList<String>();
-
-      for (int p = 0; p < labelIndices.length; p++) {
-        if (j+p >= document.size()) { continue; }
-        CRFDatum<List<String>, CRFLabel> d = makeDatum(document, j+p, featureFactory);
-
-        List features = d.asFeatures();
-        for (int k = p, fSize = features.size(); k < fSize; k++) {
-          Collection<String> cliqueFeatures = (Collection<String>) features.get(k);
-          for (String feature : cliqueFeatures) {
-            int index = featureIndex.indexOf(feature);
-            if (index >= 0) {
-//              line.add(feature+"["+(-p)+"]");
-              rowHeaders.add(feature+ '[' + (-p) + ']');
-              double[] values = new double[labelIndices[0].size()];
-              for (CRFLabel label : labelIndices[k]) {
-                int[] l = label.getLabel();
-                double v = weights[index][labelIndices[k].indexOf(label)];
-                values[l[l.length-1-p]] += v;
-              }
-              for (double value : values) {
-                line.add(nf.format(value));
-              }
-              lines.add(line.toArray(new String[line.size()]));
-              line = new ArrayList<String>();
-            }
-          }
-        }
-//        lines.add(Collections.<String>emptyList());
-        System.out.println(StringUtils.makeAsciiTable(lines.toArray(new String[lines.size()][0]),
-                rowHeaders.toArray(new String[rowHeaders.size()]),
-                columnHeaders,
-                0, 1, true));
-        System.out.println();
-      }
-//      System.err.println(edu.stanford.nlp.util.StringUtils.join(lines,"\n"));
-    }
-
-    if (flags.useReverse) {
-      Collections.reverse(document);
-    }
-  }
-
-
-  /** Convert an ObjectBank to arrays of data features and labels.
-   *
-   * @return A Pair, where the first element is an int[][][][] representing the data
-   *    and the second element is an int[][] representing the labels.
-   */
-  public Pair<int[][][][],int[][]> documentsToDataAndLabels(Collection<List<IN>> documents) {
-
-    // first index is the number of the document
-    // second index is position in the document also the index of the clique/factor table
-    // third index is the number of elements in the clique/window thase features are for (starting with last element)
-    // fourth index is position of the feature in the array that holds them
-    // element in data[i][j][k][m] is the index of the mth feature occurring in position k of the jth clique of the ith document
-    //    int[][][][] data = new int[documentsSize][][][];
-    List<int[][][]> data = new ArrayList<int[][][]>();
-
-    // first index is the number of the document
-    // second index is the position in the document
-    // element in labels[i][j] is the index of the correct label (if it exists) at position j in document i
-    //    int[][] labels = new int[documentsSize][];
-    List<int[]> labels = new ArrayList<int[]>();
-
-    int numDatums = 0;
-
-    for (List<IN> doc : documents) {
-      Pair<int[][][],int[]> docPair = documentToDataAndLabels(doc);
-      data.add(docPair.first());
-      labels.add(docPair.second());
-      numDatums += doc.size();
-    }
-
-    System.err.println("numClasses: " + classIndex.size() + ' ' + classIndex);
-    System.err.println("numDocuments: " + data.size());
-    System.err.println("numDatums: " + numDatums);
-    System.err.println("numFeatures: " + featureIndex.size());
-    printFeatures();
-
-    int[][][][] dataA = new int[0][][][];
-    int[][] labelsA = new int[0][];
-
-    return new Pair<int[][][][],int[][]>(data.toArray(dataA), labels.toArray(labelsA));
-  }
-
-  /** Convert an ObjectBank to corresponding collection of data features and labels.
-   *
-   * @return A List of pairs, one for each document,
-   *    where the first element is an int[][][] representing the data
-   *    and the second element is an int[] representing the labels.
-   */
-  public List<Pair<int[][][],int[]>> documentsToDataAndLabelsList(Collection<List<IN>> documents) {
-    int numDatums = 0;
-
-    List<Pair<int[][][],int[]>> docList = new ArrayList<Pair<int[][][],int[]>>();
-    for (List<IN> doc : documents) {
-      Pair<int[][][],int[]> docPair = documentToDataAndLabels(doc);
-      docList.add(docPair);
-      numDatums += doc.size();
-    }
-
-    System.err.println("numClasses: " + classIndex.size() + ' ' + classIndex);
-    System.err.println("numDocuments: " + docList.size());
-    System.err.println("numDatums: " + numDatums);
-    System.err.println("numFeatures: " + featureIndex.size());
-    return docList;
-  }
-
-  private void printFeatures() {
-    if (flags.printFeatures == null) {
-      return;
-    }
-    try {
-      String enc = flags.inputEncoding;
-      if (flags.inputEncoding == null) {
-        System.err.println("flags.inputEncoding doesn't exist, Use UTF-8 as default");
-        enc = "UTF-8";
-      }
-
-      PrintWriter pw = new PrintWriter(new OutputStreamWriter(
-          new FileOutputStream("feats-" + flags.printFeatures + ".txt"), enc), true);
-      for (String feat : featureIndex) {
-        pw.println(feat);
-      }
-      pw.close();
-    } catch (IOException ioe) {
-      ioe.printStackTrace();
-    }
-  }
-
-  /** This routine builds the <code>labelIndices</code> which give the
-   *  empirically legal label sequences (of length (order) at most
-   *  <code>windowSize</code>)
-   *  and the <code>classIndex</code>,
-   *  which indexes known answer classes.
-   *
-   * @param ob The training data: Read from an ObjectBank, each
-   *                  item in it is a List<CoreLabel>.
-   */
-  protected void makeAnswerArraysAndTagIndex(Collection<List<IN>> ob) {
-
-    HashSet<String>[] featureIndices = new HashSet[windowSize];
-    for (int i = 0; i < windowSize; i++) {
-      featureIndices[i] = new HashSet<String>();
-    }
-
-    labelIndices = new HashIndex[windowSize];
-    for (int i = 0; i < labelIndices.length; i++) {
-      labelIndices[i] = new HashIndex<CRFLabel>();
-    }
-
-    Index<CRFLabel> labelIndex = labelIndices[windowSize - 1];
-
-    classIndex = new HashIndex<String>();
-    //classIndex.add("O");
-    classIndex.add(flags.backgroundSymbol);
-
-    HashSet[] seenBackgroundFeatures = new HashSet[2];
-    seenBackgroundFeatures[0] = new HashSet();
-    seenBackgroundFeatures[1] = new HashSet();
-
-    //int count = 0;
-    for (List<IN> doc : ob) {
-      //if (count % 100 == 0) {
-      //System.err.println(count);
-      //}
-      //count++;
-
-      if (flags.useReverse) {
-        Collections.reverse(doc);
-      }
-
-      int docSize = doc.size();
-      //create the full set of labels in classIndex
-      //note: update to use addAll later
-      for (int j = 0; j < docSize; j++) {
-        String ans = doc.get(j).get(AnswerAnnotation.class);
-        classIndex.add(ans);
-      }
-
-      for (int j = 0; j < docSize; j++) {
-
-        CRFDatum<List<String>,CRFLabel> d = makeDatum(doc, j, featureFactory);
-        labelIndex.add(d.label());
-
-        List<List<String>> features = d.asFeatures();
-        for (int k = 0, fsize = features.size(); k < fsize; k++) {
-          Collection<String> cliqueFeatures = features.get(k);
-          if (k < 2 && flags.removeBackgroundSingletonFeatures) {
-            String ans = doc.get(j).get(AnswerAnnotation.class);
-            boolean background = ans.equals(flags.backgroundSymbol);
-            if (k == 1 && j > 0 && background) {
-              ans = doc.get(j - 1).get(AnswerAnnotation.class);
-              background = ans.equals(flags.backgroundSymbol);
-            }
-            if (background) {
-              for (String f : cliqueFeatures) {
-                if (!featureIndices[k].contains(f)) {
-                  if (seenBackgroundFeatures[k].contains(f)) {
-                    seenBackgroundFeatures[k].remove(f);
-                    featureIndices[k].add(f);
-                  } else {
-                    seenBackgroundFeatures[k].add(f);
-                  }
-                }
-              }
-            } else {
-              seenBackgroundFeatures[k].removeAll(cliqueFeatures);
-              featureIndices[k].addAll(cliqueFeatures);
-            }
-          } else {
-            featureIndices[k].addAll(cliqueFeatures);
-          }
-        }
-      }
-
-      if (flags.useReverse) {
-        Collections.reverse(doc);
-      }
-    }
-
-    // String[] fs = new String[featureIndices[0].size()];
-    // for (Iterator iter = featureIndices[0].iterator(); iter.hasNext(); ) {
-    //   System.err.println(iter.next());
-    // }
-
-    int numFeatures = 0;
-    for (int i = 0; i < windowSize; i++) {
-      numFeatures += featureIndices[i].size();
-    }
-
-    featureIndex = new HashIndex<String>();
-    map = new int[numFeatures];
-    for (int i = 0; i < windowSize; i++) {
-      featureIndex.addAll(featureIndices[i]);
-      for (String str : featureIndices[i]) {
-        map[featureIndex.indexOf(str)] = i;
-      }
-    }
-
-    if (flags.useObservedSequencesOnly) {
-      for (int i = 0, liSize = labelIndex.size(); i < liSize; i++) {
-        CRFLabel label = labelIndex.get(i);
-        for (int j = windowSize - 2; j >= 0; j--) {
-          label = label.getOneSmallerLabel();
-          labelIndices[j].add(label);
-        }
-      }
-    } else {
-      for (int i = 0; i < labelIndices.length; i++) {
-        labelIndices[i] = allLabels(i + 1, classIndex);
-      }
-    }
-
-    if (VERBOSE) {
-      for (int i = 0, fiSize = featureIndex.size(); i < fiSize; i++) {
-        System.out.println(i + ": " + featureIndex.get(i));
-      }
-    }
-  }
-
-  protected static Index<CRFLabel> allLabels(int window, Index classIndex) {
-    int[] label = new int[window];
-    // cdm july 2005: below array initialization isn't necessary: JLS (3rd ed.) 4.12.5
-    // Arrays.fill(label, 0);
-    int numClasses = classIndex.size();
-    Index<CRFLabel> labelIndex = new HashIndex<CRFLabel>();
-    OUTER: while (true) {
-      CRFLabel l = new CRFLabel(label);
-      labelIndex.add(l);
-      int[] label1 = new int[window];
-      System.arraycopy(label, 0, label1, 0, label.length);
-      label = label1;
-      for (int j = 0; j < label.length; j++) {
-        label[j]++;
-        if (label[j] >= numClasses) {
-          label[j] = 0;
-          if (j == label.length - 1) {
-            break OUTER;
-          }
-        } else {
-          break;
-        }
-      }
-    }
-    return labelIndex;
-  }
-
-
-  /** Makes a CRFDatum by producing features and a label from input data
-   *  at a specific position, using the provided factory.
-   *  @param info The input data
-   *  @param loc The position to build a datum at
-   *  @param featureFactory The FeatureFactory to use to extract features
-   *  @return The constructed CRFDatum
-   */
-  public CRFDatum<List<String>,CRFLabel> makeDatum(List<IN> info, int loc, edu.stanford.nlp.sequences.FeatureFactory<IN> featureFactory) {
-    pad.set(AnswerAnnotation.class, flags.backgroundSymbol);
-    PaddedList<IN> pInfo = new PaddedList<IN>(info, pad);
-
-    ArrayList<List<String>> features = new ArrayList<List<String>>();
-
-    //     for (int i = 0; i < windowSize; i++) {
-    //       List featuresC = new ArrayList();
-    //       for (int j = 0; j < FeatureFactory.win[i].length; j++) {
-    //         featuresC.addAll(featureFactory.features(info, loc, FeatureFactory.win[i][j]));
-    //       }
-    //       features.add(featuresC);
-    //     }
-
-    Collection<Clique> done = new HashSet<Clique>();
-    for (int i = 0; i < windowSize; i++) {
-      List<String> featuresC = new ArrayList<String>();
-      List<Clique> windowCliques = featureFactory.getCliques(i, 0);
-      windowCliques.removeAll(done);
-      done.addAll(windowCliques);
-      for (Clique c : windowCliques) {
-        featuresC.addAll(featureFactory.getCliqueFeatures(pInfo, loc, c));
-      }
-      features.add(featuresC);
-    }
-
-    int[] labels = new int[windowSize];
-
-    for (int i = 0; i < windowSize; i++) {
-      String answer = pInfo.get(loc + i - windowSize + 1).get(AnswerAnnotation.class);
-
-      labels[i] = classIndex.indexOf(answer);
-    }
-
-    printFeatureLists(pInfo.get(loc), features);
-
-    CRFDatum<List<String>,CRFLabel> d = new CRFDatum<List<String>,CRFLabel>(features, new CRFLabel(labels));
-    //System.err.println(d);
-    return d;
-  }
-
-
-  public static class TestSequenceModel implements SequenceModel {
-
-    private int window;
-    private int numClasses;
-    //private FactorTable[] factorTables;
-    private CRFCliqueTree cliqueTree;
-    private int[] tags;
-    private int[] backgroundTag;
-
-    //public Scorer(FactorTable[] factorTables) {
-    public TestSequenceModel(CRFCliqueTree cliqueTree) {
-      //this.factorTables = factorTables;
-      this.cliqueTree = cliqueTree;
-      //this.window = factorTables[0].windowSize();
-      this.window = cliqueTree.window();
-      //this.numClasses = factorTables[0].numClasses();
-      this.numClasses = cliqueTree.getNumClasses();
-      tags = new int[numClasses];
-      for (int i = 0; i < tags.length; i++) {
-        tags[i] = i;
-      }
-      backgroundTag = new int[]{cliqueTree.backgroundIndex()};
-    }
-
-    public int length() {
-      return cliqueTree.length();
-    }
-
-    public int leftWindow() {
-      return window - 1;
-    }
-
-    public int rightWindow() {
-      return 0;
-    }
-
-    public int[] getPossibleValues(int pos) {
-      if (pos < window - 1) {
-        return backgroundTag;
-      }
-      return tags;
-    }
-
-    public double scoreOf(int[] tags, int pos) {
-      int[] previous = new int[window - 1];
-      int realPos = pos - window + 1;
-      for (int i = 0; i < window - 1; i++) {
-        previous[i] = tags[realPos + i];
-      }
-      return cliqueTree.condLogProbGivenPrevious(realPos, tags[pos], previous);
-    }
-
-    public double[] scoresOf(int[] tags, int pos) {
-      int realPos = pos - window + 1;
-      double[] scores = new double[numClasses];
-      int[] previous = new int[window - 1];
-      for (int i = 0; i < window - 1; i++) {
-        previous[i] = tags[realPos + i];
-      }
-      for (int i = 0; i < numClasses; i++) {
-        scores[i] = cliqueTree.condLogProbGivenPrevious(realPos, i, previous);
-      }
-      return scores;
-    }
-
-    public double scoreOf(int[] sequence) {
-      throw new UnsupportedOperationException();
-    }
-
-  } // end class TestSequenceModel
-
-
-  @Override
-  public List<IN> classify(List<IN> document) {
-    if (flags.doGibbs) {
-      try {
-        return classifyGibbs(document);
-      } catch (Exception e) {
-        System.err.println("Error running testGibbs inference!");
-        e.printStackTrace();
-        return null;
-      }
-    } else if (flags.crfType.equalsIgnoreCase("maxent")) {
-      return classifyMaxEnt(document);
-    } else {
-      throw new RuntimeException("Unsupported inference type: " + flags.crfType);
-    }
-  }
-
-  private List<IN> classify(List<IN> document, Pair<int[][][], int[]> documentDataAndLabels) {
-    if (flags.doGibbs) {
-      try {
-        return classifyGibbs(document, documentDataAndLabels);
-      } catch (Exception e) {
-        System.err.println("Error running testGibbs inference!");
-        e.printStackTrace();
-        return null;
-      }
-    } else if (flags.crfType.equalsIgnoreCase("maxent")) {
-      return classifyMaxEnt(document, documentDataAndLabels);
-    } else {
-      throw new RuntimeException("Unsupported inference type: " + flags.crfType);
-    }
-  }
-
-  public void classifyAndWriteAnswers(Collection<List<IN>> documents,
-                                      List<Pair<int[][][],
-                                                int[]>> documentDataAndLabels,
-                                      OutputStream outStream,
-                                      DocumentReaderAndWriter readerAndWriter)
-    throws IOException
-  {
-    Timing timer = new Timing();
-
-    Counter<String> entityTP = new ClassicCounter<String>();
-    Counter<String> entityFP = new ClassicCounter<String>();
-    Counter<String> entityFN = new ClassicCounter<String>();
-    boolean resultsCounted = true;
-
-    int numWords = 0;
-    int numDocs = 0;
-    for (List<IN> doc : documents) {
-      classify(doc, documentDataAndLabels.get(numDocs));
-      numWords += doc.size();
-      writeAnswers(doc, outStream, readerAndWriter);
-      resultsCounted = (resultsCounted &&
-                        countResults(doc, entityTP, entityFP, entityFN));
-      numDocs++;
-    }
-    long millis = timer.stop();
-    double wordspersec = numWords / (((double) millis) / 1000);
-    NumberFormat nf = new DecimalFormat("0.00"); // easier way!
-    System.err.println(StringUtils.getShortClassName(this) +
-                       " tagged " + numWords + " words in " + numDocs +
-                       " documents at " + nf.format(wordspersec) +
-                       " words per second.");
-    if (resultsCounted) {
-      printResults(entityTP, entityFP, entityFN);
-    }
-  }
-
-  @Override
-  public SequenceModel getSequenceModel(List<IN> doc) {
-    Pair<int[][][],int[]> p = documentToDataAndLabels(doc);
-    return getSequenceModel(doc, p);
-  }
-
-  public SequenceModel getSequenceModel(List<IN> doc, Pair<int[][][], int[]> documentDataAndLabels) {
-    Pair<int[][][],int[]> p = documentDataAndLabels;
-    int[][][] data = p.first();
-
-    CRFCliqueTree cliqueTree = CRFCliqueTree.getCalibratedCliqueTree(weights, data, labelIndices, classIndex.size(), classIndex, flags.backgroundSymbol);
-
-    //Scorer scorer = new Scorer(factorTables);
-    return new TestSequenceModel(cliqueTree);
-  }
-
-  /** Do standard sequence inference, using either Viterbi or Beam inference
-   *  depending on the value of <code>flags.inferenceType</code>.
-   *
-   *  @param document Document to classify. Classification happens in place.
-   *             This document is modified.
-   *  @return The classified document
-   */
-  public List<IN> classifyMaxEnt(List<IN> document) {
-    if (document.isEmpty()) {
-      return document;
-    }
-
-    SequenceModel model = getSequenceModel(document);
-    return classifyMaxEnt(document, model);
-  }
-
-  private List<IN> classifyMaxEnt(List<IN> document, Pair<int[][][], int[]> documentDataAndLabels) {
-    if (document.isEmpty()) {
-      return document;
-    }
-    SequenceModel model = getSequenceModel(document, documentDataAndLabels);
-    return classifyMaxEnt(document, model);
-  }
-
-  private List<IN> classifyMaxEnt(List<IN> document, SequenceModel model) {
-    if (document.isEmpty()) {
-      return document;
-    }
-
-    if (flags.inferenceType == null) { flags.inferenceType = "Viterbi"; }
-
-    BestSequenceFinder tagInference;
-    if (flags.inferenceType.equalsIgnoreCase("Viterbi")) {
-      tagInference = new ExactBestSequenceFinder();
-    } else if (flags.inferenceType.equalsIgnoreCase("Beam")) {
-      tagInference = new BeamBestSequenceFinder(flags.beamSize);
-    } else {
-      throw new RuntimeException("Unknown inference type: "+flags.inferenceType+". Your options are Viterbi|Beam.");
-    }
-
-    int[] bestSequence = tagInference.bestSequence(model);
-
-    if (flags.useReverse) {
-      Collections.reverse(document);
-    }
-    for (int j = 0, docSize = document.size(); j < docSize; j++) {
-      IN wi = document.get(j);
-      String guess = classIndex.get(bestSequence[j + windowSize - 1]);
-      wi.set(AnswerAnnotation.class, guess);
-    }
-    if (flags.useReverse) {
-      Collections.reverse(document);
-    }
-    return document;
-  }
-
-
-  public List<IN> classifyGibbs(List<IN> document)
-          throws ClassNotFoundException, SecurityException, NoSuchMethodException, IllegalArgumentException, InstantiationException, IllegalAccessException, InvocationTargetException
-  {
-    Pair<int[][][],int[]> p = documentToDataAndLabels(document);
-    return classifyGibbs(document, p);
-  }
-
-  public List<IN> classifyGibbs(List<IN> document, Pair<int[][][],int[]> documentDataAndLabels)
-          throws ClassNotFoundException, SecurityException, NoSuchMethodException, IllegalArgumentException, InstantiationException, IllegalAccessException, InvocationTargetException
-  {
-      //System.err.println("Testing using Gibbs sampling.");
-    Pair<int[][][],int[]> p = documentDataAndLabels;
-    int[][][] data = p.first();
-    List<IN> newDocument = document; // reversed if necessary
-    if (flags.useReverse) {
-      Collections.reverse(document);
-      newDocument = new ArrayList<IN>(document);
-      Collections.reverse(document);
-    }
-
-    CRFCliqueTree cliqueTree = CRFCliqueTree.getCalibratedCliqueTree(weights, data, labelIndices, classIndex.size(), classIndex, flags.backgroundSymbol);
-
-    SequenceModel model = cliqueTree;
-    SequenceListener listener = cliqueTree;
-
-    SequenceModel priorModel = null;
-    SequenceListener priorListener = null;
-
-    if (flags.useNERPrior) {
-      EntityCachingAbstractSequencePrior<IN> prior = new EmpiricalNERPrior<IN>(flags.backgroundSymbol, classIndex, newDocument);
-      // SamplingNERPrior prior = new SamplingNERPrior(flags.backgroundSymbol, classIndex, newDocument);
-      priorModel = prior;
-      priorListener = prior;
-    } else if (flags.useAcqPrior) {
-      EntityCachingAbstractSequencePrior<IN> prior = new AcquisitionsPrior<IN>(flags.backgroundSymbol, classIndex, newDocument);
-      priorModel = prior;
-      priorListener = prior;
-    } else if (flags.useSemPrior) {
-      EntityCachingAbstractSequencePrior<IN> prior = new SeminarsPrior<IN>(flags.backgroundSymbol, classIndex, newDocument);
-      priorModel = prior;
-      priorListener = prior;
-    } else if(flags.useUniformPrior) {
-      //System.err.println("Using uniform prior!");
-      UniformPrior<IN> uniPrior = new UniformPrior<IN>(flags.backgroundSymbol, classIndex, newDocument);
-      priorModel = uniPrior;
-      priorListener = uniPrior;
-    } else {
-      throw new RuntimeException("no prior specified");
-    }
-
-    model = new FactoredSequenceModel(model, priorModel);
-    listener = new FactoredSequenceListener(listener, priorListener);
-
-    SequenceGibbsSampler sampler = new SequenceGibbsSampler(0, 0, listener);
-    int[] sequence = new int[cliqueTree.length()];
-
-    if (flags.initViterbi) {
-      TestSequenceModel testSequenceModel = new TestSequenceModel(cliqueTree);
-      ExactBestSequenceFinder tagInference = new ExactBestSequenceFinder();
-      int[] bestSequence = tagInference.bestSequence(testSequenceModel);
-      System.arraycopy(bestSequence, windowSize-1, sequence, 0, sequence.length);
-    } else {
-      int[] initialSequence = SequenceGibbsSampler.getRandomSequence(model);
-      System.arraycopy(initialSequence, 0, sequence, 0, sequence.length);
-    }
-
-    sampler.verbose = 0;
-
-    if (flags.annealingType.equalsIgnoreCase("linear")) {
-      sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getLinearSchedule(1.0, flags.numSamples), sequence);
-    } else if (flags.annealingType.equalsIgnoreCase("exp") || flags.annealingType.equalsIgnoreCase("exponential")) {
-      sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getExponentialSchedule(1.0, flags.annealingRate, flags.numSamples), sequence);
-    } else {
-      throw new RuntimeException("No annealing type specified");
-    }
-
-    //System.err.println(ArrayMath.toString(sequence));
-
-    if (flags.useReverse) {
-      Collections.reverse(document);
-    }
-
-    for (int j = 0, dsize = newDocument.size(); j < dsize; j++) {
-      IN wi = document.get(j);
-      if (wi==null) throw new RuntimeException("");
-      if (classIndex==null) throw new RuntimeException("");
-      wi.set(AnswerAnnotation.class, classIndex.get(sequence[j]));
-    }
-
-    if (flags.useReverse) {
-      Collections.reverse(document);
-    }
-
-    return document;
-  }
-
-
-  /**
-   *
-   * @param sentence
-   * @param priorModels an array of prior models
-   * @param priorListeners an array of prior listeners
-   * @param modelWts an array of model weights: IMPORTANT: this includes the weight of CRF clasifier as well at position 0, and therefore is longer than priorListeners/priorModels array by 1.
-   * @return A list of INs with
-   * @throws ClassNotFoundException
-   * @throws SecurityException
-   * @throws NoSuchMethodException
-   * @throws IllegalArgumentException
-   * @throws InstantiationException
-   * @throws IllegalAccessException
-   * @throws InvocationTargetException
-   */
-  public List<IN> classifyGibbsUsingPrior(List<IN> sentence, SequenceModel[] priorModels, SequenceListener[] priorListeners, double[] modelWts) throws ClassNotFoundException, SecurityException, NoSuchMethodException, IllegalArgumentException, InstantiationException, IllegalAccessException, InvocationTargetException  {
-
-    if((priorModels.length + 1) != modelWts.length)
-      throw new RuntimeException("modelWts array should be longer than the priorModels array by 1 unit since it also includes the weight of the CRF model at position 0.");
-
-    //System.err.println("Testing using Gibbs sampling.");
-    Pair<int[][][],int[]> p = documentToDataAndLabels(sentence);
-    int[][][] data = p.first();
-
-    List<IN> newDocument = sentence; // reversed if necessary
-    if (flags.useReverse) {
-      Collections.reverse(sentence);
-      newDocument = new ArrayList<IN>(sentence);
-      Collections.reverse(sentence);
-    }
-
-    CRFCliqueTree cliqueTree = CRFCliqueTree.getCalibratedCliqueTree(weights, data, labelIndices, classIndex.size(), classIndex, flags.backgroundSymbol);
-
-    SequenceModel model = cliqueTree;
-    SequenceListener listener = cliqueTree;
-
-
-    SequenceModel[] models = new SequenceModel[priorModels.length+1];
-    models[0] = model;
-    for(int i = 1; i < models.length; i++)models[i] = priorModels[i-1];
-    model = new FactoredSequenceModel(models,modelWts);
-
-    SequenceListener[] listeners = new SequenceListener[priorListeners.length+1];
-    listeners[0] = listener;
-    for(int i =1; i < listeners.length; i++)listeners[i] = priorListeners[i-1];
-    listener = new FactoredSequenceListener(listeners);
-
-    SequenceGibbsSampler sampler = new SequenceGibbsSampler(0, 0, listener);
-    int[] sequence = new int[cliqueTree.length()];
-
-    if (flags.initViterbi) {
-      TestSequenceModel testSequenceModel = new TestSequenceModel(cliqueTree);
-      ExactBestSequenceFinder tagInference = new ExactBestSequenceFinder();
-      int[] bestSequence = tagInference.bestSequence(testSequenceModel);
-      System.arraycopy(bestSequence, windowSize-1, sequence, 0, sequence.length);
-    } else {
-      int[] initialSequence = SequenceGibbsSampler.getRandomSequence(model);
-      System.arraycopy(initialSequence, 0, sequence, 0, sequence.length);
-    }
-
-    SequenceGibbsSampler.verbose = 0;
-
-    if (flags.annealingType.equalsIgnoreCase("linear")) {
-      sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getLinearSchedule(1.0, flags.numSamples), sequence);
-    } else if (flags.annealingType.equalsIgnoreCase("exp") || flags.annealingType.equalsIgnoreCase("exponential")) {
-      sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getExponentialSchedule(1.0, flags.annealingRate, flags.numSamples), sequence);
-    } else {
-      throw new RuntimeException("No annealing type specified");
-    }
-
-    //System.err.println(ArrayMath.toString(sequence));
-
-    if (flags.useReverse) {
-      Collections.reverse(sentence);
-    }
-
-    for (int j = 0, dsize = newDocument.size(); j < dsize; j++) {
-      IN wi = sentence.get(j);
-      if (wi==null) throw new RuntimeException("");
-      if (classIndex==null) throw new RuntimeException("");
-      wi.set(AnswerAnnotation.class, classIndex.get(sequence[j]));
-    }
-
-    if (flags.useReverse) {
-      Collections.reverse(sentence);
-    }
-
-    return sentence;
-  }
-
-
-
-  public List<IN> classifyGibbsUsingPrior(List<IN> sentence, SequenceModel priorModel, SequenceListener priorListener, double model1Wt, double model2Wt) throws ClassNotFoundException, SecurityException, NoSuchMethodException, IllegalArgumentException, InstantiationException, IllegalAccessException, InvocationTargetException  {
-    //System.err.println("Testing using Gibbs sampling.");
-    Pair<int[][][],int[]> p = documentToDataAndLabels(sentence);
-    int[][][] data = p.first();
-
-    List<IN> newDocument = sentence; // reversed if necessary
-    if (flags.useReverse) {
-      newDocument = new ArrayList<IN>(sentence);
-      Collections.reverse(newDocument);
-    }
-
-    CRFCliqueTree cliqueTree = CRFCliqueTree.getCalibratedCliqueTree(weights, data, labelIndices, classIndex.size(), classIndex, flags.backgroundSymbol);
-
-    SequenceModel model = cliqueTree;
-    SequenceListener listener = cliqueTree;
-
-    model = new FactoredSequenceModel(model, priorModel,model1Wt,model2Wt);
-    listener = new FactoredSequenceListener(listener, priorListener);
-
-    SequenceGibbsSampler sampler = new SequenceGibbsSampler(0, 0, listener);
-    int[] sequence = new int[cliqueTree.length()];
-
-    if (flags.initViterbi) {
-      TestSequenceModel testSequenceModel = new TestSequenceModel(cliqueTree);
-      ExactBestSequenceFinder tagInference = new ExactBestSequenceFinder();
-      int[] bestSequence = tagInference.bestSequence(testSequenceModel);
-      System.arraycopy(bestSequence, windowSize-1, sequence, 0, sequence.length);
-    } else {
-      int[] initialSequence = SequenceGibbsSampler.getRandomSequence(model);
-      System.arraycopy(initialSequence, 0, sequence, 0, sequence.length);
-    }
-
-    SequenceGibbsSampler.verbose = 0;
-
-    if (flags.annealingType.equalsIgnoreCase("linear")) {
-      sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getLinearSchedule(1.0, flags.numSamples), sequence);
-    } else if (flags.annealingType.equalsIgnoreCase("exp") || flags.annealingType.equalsIgnoreCase("exponential")) {
-      sequence = sampler.findBestUsingAnnealing(model, CoolingSchedule.getExponentialSchedule(1.0, flags.annealingRate, flags.numSamples), sequence);
-    } else {
-      throw new RuntimeException("No annealing type specified");
-    }
-
-    //System.err.println(ArrayMath.toString(sequence));
-
-    if (flags.useReverse) {
-      Collections.reverse(sentence);
-    }
-
-    for (int j = 0, dsize = newDocument.size(); j < dsize; j++) {
-      IN wi = sentence.get(j);
-      if (wi==null) throw new RuntimeException("");
-      if (classIndex==null) throw new RuntimeException("");
-      wi.set(AnswerAnnotation.class, classIndex.get(sequence[j]));
-    }
-
-    if (flags.useReverse) {
-      Collections.reverse(sentence);
-    }
-
-    return sentence;
-  }
-
-  /**
-   * Takes a {@link List} of something that extends {@link CoreMap} and prints the likelihood
-   * of each possible label at each point.
-   *
-   * @param document A {@link List} of something that extends CoreMap.
-   */
-  @Override
-  public void printProbsDocument(List<IN> document) {
-
-    Pair<int[][][],int[]> p = documentToDataAndLabels(document);
-    int[][][] data = p.first();
-
-    //FactorTable[] factorTables = CRFLogConditionalObjectiveFunction.getCalibratedCliqueTree(weights, data, labelIndices, classIndex.size());
-    CRFCliqueTree cliqueTree = CRFCliqueTree.getCalibratedCliqueTree(weights, data, labelIndices, classIndex.size(), classIndex, flags.backgroundSymbol);
-
-    //    for (int i = 0; i < factorTables.length; i++) {
-    for (int i = 0; i < cliqueTree.length(); i++) {
-      IN wi = document.get(i);
-      System.out.print(wi.get(CoreAnnotations.TextAnnotation.class) + '\t');
-      for (Iterator<String> iter = classIndex.iterator(); iter.hasNext();) {
-        String label = iter.next();
-        int index = classIndex.indexOf(label);
-        //        double prob = Math.pow(Math.E, factorTables[i].logProbEnd(index));
-        double prob = cliqueTree.prob(i, index);
-        System.out.print(label + '=' + prob);
-        if (iter.hasNext()) {
-          System.out.print("\t");
-        } else {
-          System.out.print("\n");
-        }
-      }
-    }
-  }
-
-  /**
-   * Takes the file, reads it in, and prints out the likelihood of
-   * each possible label at each point. This gives a simple way to examine
-   * the probability distributions of the CRF.  See
-   * <code>getCliqueTrees()</code> for more.
-   *
-   * @param filename The path to the specified file
-   */
-  public void printFirstOrderProbs(String filename,
-                                   DocumentReaderAndWriter readerAndWriter) {
-    // only for the OCR data does this matter
-    flags.ocrTrain = false;
-
-    ObjectBank<List<IN>> docs =
-      makeObjectBankFromFile(filename, readerAndWriter);
-    printFirstOrderProbsDocuments(docs);
-  }
-
-  /**
-   * Takes a {@link List} of documents and prints the likelihood
-   * of each possible label at each point.
-   *
-   * @param documents A {@link List} of {@link List} of INs.
-   */
-  public void printFirstOrderProbsDocuments(ObjectBank<List<IN>> documents) {
-    for (List<IN> doc : documents) {
-      printFirstOrderProbsDocument(doc);
-      System.out.println();
-    }
-  }
-
-  /**
-   * Want to make arbitrary probability queries?  Then this is the method for you.
-   * Given the filename, it reads it in and breaks it into documents, and then makes
-   * a CRFCliqueTree for each document.  you can then ask the clique tree for marginals
-   * and conditional probabilities of almost anything you want.
-   */
-  public List<CRFCliqueTree> getCliqueTrees(String filename, DocumentReaderAndWriter readerAndWriter) {
-    // only for the OCR data does this matter
-    flags.ocrTrain = false;
-
-    List<CRFCliqueTree> cts = new ArrayList<CRFCliqueTree>();
-    ObjectBank<List<IN>> docs =
-      makeObjectBankFromFile(filename, readerAndWriter);
-    for (List<IN> doc : docs) {
-      cts.add(getCliqueTree(doc));
-    }
-
-    return cts;
-  }
-
-
-  private CRFCliqueTree getCliqueTree(List<IN> document) {
-
-    Pair<int[][][],int[]> p = documentToDataAndLabels(document);
-    int[][][] data = p.first();
-
-    //FactorTable[] factorTables = CRFLogConditionalObjectiveFunction.getCalibratedCliqueTree(weights, data, labelIndices, classIndex.size());
-    return CRFCliqueTree.getCalibratedCliqueTree(weights, data, labelIndices, classIndex.size(), classIndex, flags.backgroundSymbol);
-  }
-
-  /**
-   * Takes a {@link List} of something that extends {@link CoreMap} and prints the likelihood
-   * of each possible label at each point.
-   *
-   * @param document A {@link List} of something that extends {@link CoreMap}.
-   */
-  public void printFirstOrderProbsDocument(List<IN> document) {
-
-    CRFCliqueTree cliqueTree = getCliqueTree(document);
-
-    //    for (int i = 0; i < factorTables.length; i++) {
-    for (int i = 0; i < cliqueTree.length(); i++) {
-      IN wi = document.get(i);
-      System.out.print(wi.get(CoreAnnotations.TextAnnotation.class) + '\t');
-      for (Iterator<String> iter = classIndex.iterator(); iter.hasNext();) {
-        String label = iter.next();
-        int index = classIndex.indexOf(label);
-        if (i == 0) {
-          //double prob = Math.pow(Math.E, factorTables[i].logProbEnd(index));
-          double prob = cliqueTree.prob(i, index);
-          System.out.print(label + '=' + prob);
-          if (iter.hasNext()) {
-            System.out.print("\t");
-          } else {
-            System.out.print("\n");
-          }
-        } else {
-          for (Iterator<String> iter1 = classIndex.iterator(); iter1.hasNext();) {
-            String label1 = iter1.next();
-            int index1 = classIndex.indexOf(label1);
-            //double prob = Math.pow(Math.E, factorTables[i].logProbEnd(new int[]{index1, index}));
-            double prob = cliqueTree.prob(i, new int[]{index1, index});
-            System.out.print(label1 + '_' + label + '=' + prob);
-            if (iter.hasNext() || iter1.hasNext()) {
-              System.out.print("\t");
-            } else {
-              System.out.print("\n");
-            }
-          }
-        }
-      }
-    }
-  }
-
-  /** Train a classifier from documents.
-   *
-   *  @param docs An objectbank representation of documents.
-   *              Changed this type from ObjectBank to Collection for generality (mihai)
-   */
-  @Override
-  public void train(Collection<List<IN>> docs,
-                    DocumentReaderAndWriter readerAndWriter) {
-    Timing timer = new Timing();
-    timer.start();
-    makeAnswerArraysAndTagIndex(docs);
-    long elapsedMs = timer.stop();
-    System.err.println("Time to convert docs to feature indices: " + Timing.toSecondsString(elapsedMs) + " seconds");
-    if (flags.exportFeatures != null) {
-      timer.start();
-      CRFFeatureExporter<IN> featureExporter = new CRFFeatureExporter<IN>(this);
-      featureExporter.printFeatures(flags.exportFeatures, docs);
-      elapsedMs = timer.stop();
-      System.err.println("Time to export features: " + Timing.toSecondsString(elapsedMs) + " seconds");
-    }
-    for (int i = 0; i <= flags.numTimesPruneFeatures; i++) {
-      timer.start();
-      Pair<int[][][][],int[][]> dataAndLabels = documentsToDataAndLabels(docs);
-      elapsedMs = timer.stop();
-      System.err.println("Time to convert docs to data/labels: " + Timing.toSecondsString(elapsedMs) + " seconds");
-
-      Evaluator[] evaluators = null;
-      if (flags.evaluateIters > 0) {
-        List<Evaluator> evaluatorList = new ArrayList<Evaluator>();
-        evaluatorList.add(new MemoryEvaluator());
-        if (flags.evaluateTrain) {
-          CRFClassifierEvaluator<IN> crfEvaluator = new CRFClassifierEvaluator<IN>("Train set", this);
-          List<Pair<int[][][],int[]>> trainDataAndLabels = new ArrayList<Pair<int[][][],int[]>>();
-          for (int j = 0; j < dataAndLabels.first().length; j++) {
-            Pair<int[][][],int[]> p = new Pair<int[][][],int[]>(dataAndLabels.first()[j], dataAndLabels.second()[j]);
-            trainDataAndLabels.add(p);
-          }
-          crfEvaluator.setTestData(docs, trainDataAndLabels);
-          crfEvaluator.setEvalCmd(flags.evalCmd);
-          evaluatorList.add(crfEvaluator);
-        }
-        if (flags.testFile != null) {
-          CRFClassifierEvaluator<IN> crfEvaluator = new CRFClassifierEvaluator<IN>("Test set (" + flags.testFile + ")", this);
-          ObjectBank<List<IN>> testObjBank = makeObjectBankFromFile(flags.testFile, readerAndWriter);
-          List<Pair<int[][][],int[]>> testDataAndLabels = documentsToDataAndLabelsList(testObjBank);
-          crfEvaluator.setTestData(testObjBank, testDataAndLabels);
-          crfEvaluator.setEvalCmd(flags.evalCmd);
-          evaluatorList.add(crfEvaluator);
-        }
-        if (flags.testFiles != null) {
-          String[] testFiles = flags.testFiles.split(",");
-          for (String testFile: testFiles) {
-            CRFClassifierEvaluator<IN> crfEvaluator = crfEvaluator =
-                  new CRFClassifierEvaluator<IN>("Test set (" + testFile + ")", this);
-            ObjectBank<List<IN>> testObjBank =
-              makeObjectBankFromFile(testFile, readerAndWriter);
-            List<Pair<int[][][],int[]>> testDataAndLabels = documentsToDataAndLabelsList(testObjBank);
-            crfEvaluator.setTestData(testObjBank, testDataAndLabels);
-            crfEvaluator.setEvalCmd(flags.evalCmd);
-            evaluatorList.add(crfEvaluator);
-          }
-        }
-        evaluators = new Evaluator[evaluatorList.size()];
-        evaluatorList.toArray(evaluators);
-      }
-
-      if (flags.numTimesPruneFeatures == i) {
-        docs = null; // hopefully saves memory
-      }
-      // save feature index to disk and read in later
-      File featIndexFile = null;
-
-      if (flags.saveFeatureIndexToDisk) {
-        try {
-          System.err.println("Writing feature index to temporary file.");
-          featIndexFile = IOUtils.writeObjectToTempFile(featureIndex, "featIndex" + i+ ".tmp");
-          featureIndex = null;
-        } catch (IOException e) {
-          throw new RuntimeException("Could not open temporary feature index file for writing.");
-        }
-      }
-
-      // first index is the number of the document
-      // second index is position in the document also the index of the clique/factor table
-      // third index is the number of elements in the clique/window thase features are for (starting with last element)
-      // fourth index is position of the feature in the array that holds them
-      // element in data[i][j][k][m] is the index of the mth feature occurring in position k of the jth clique of the ith document
-      int[][][][] data = dataAndLabels.first();
-      // first index is the number of the document
-      // second index is the position in the document
-      // element in labels[i][j] is the index of the correct label (if it exists) at position j in document i
-      int[][] labels = dataAndLabels.second();
-
-
-      if (flags.loadProcessedData != null) {
-        List processedData = loadProcessedData(flags.loadProcessedData);
-        if (processedData != null) {
-          // enlarge the data and labels array
-          int[][][][] allData = new int[data.length + processedData.size()][][][];
-          int[][] allLabels = new int[labels.length + processedData.size()][];
-          System.arraycopy(data, 0, allData, 0, data.length);
-          System.arraycopy(labels, 0, allLabels, 0, labels.length);
-          // add to the data and labels array
-          addProcessedData(processedData, allData, allLabels, data.length);
-          data = allData;
-          labels = allLabels;
-        }
-      }
-
-      if (flags.useFloat) {
-        CRFLogConditionalObjectiveFloatFunction func = new CRFLogConditionalObjectiveFloatFunction(data, labels,
-                featureIndex, windowSize, classIndex, labelIndices, map, flags.backgroundSymbol, flags.sigma);
-        func.crfType = flags.crfType;
-
-        QNMinimizer minimizer;
-        if (flags.interimOutputFreq != 0) {
-          FloatFunction monitor = new ResultStoringFloatMonitor(flags.interimOutputFreq, flags.serializeTo);
-          minimizer = new QNMinimizer(monitor);
-        } else {
-          minimizer = new QNMinimizer();
-        }
-
-        if (i == 0) {
-          minimizer.setM(flags.QNsize);
-        } else {
-          minimizer.setM(flags.QNsize2);
-        }
-
-        float[] initialWeights;
-        if (flags.initialWeights == null) {
-          initialWeights = func.initial();
-        } else {
-          try {
-            System.err.println("Reading initial weights from file " + flags.initialWeights);
-            DataInputStream dis = new DataInputStream(new BufferedInputStream(new GZIPInputStream(new FileInputStream(flags.initialWeights))));
-            initialWeights = Convert.readFloatArr(dis);
-          } catch (IOException e) {
-            throw new RuntimeException("Could not read from float initial weight file " + flags.initialWeights);
-          }
-        }
-        System.err.println("numWeights: " + initialWeights.length);
-        float[] weights = minimizer.minimize(func, (float) flags.tolerance, initialWeights);
-        this.weights = ArrayMath.floatArrayToDoubleArray(func.to2D(weights));
-
-      } else {
-
-        /*double[] estimate = null;
-
-        if(flags.estimateInitial){
-          int[][][][] approxData = new int[data.length/100][][][];
-          int[][] approxLabels = new int[data.length/100][];
-
-          Random generator = new Random(1);
-          for(int k=0;k<approxData.length; k++){
-            int thisInd = generator.nextInt(data.length);
-            approxData[k] = data[ thisInd];
-            approxLabels[k] = labels[ thisInd];
-          }
-
-          CRFLogConditionalObjectiveFunction approxFunc = new CRFLogConditionalObjectiveFunction(approxData, approxLabels, featureIndex, windowSize, classIndex, labelIndices, map, flags.backgroundSymbol, flags.sigma);
-          approxFunc.crfType = flags.crfType;
-          minimizer = new QNMinimizer(10);
-
-          if (flags.initialWeights == null) {
-            estimate = approxFunc.initial();
-          } else {
-            try {
-              System.err.println("Reading initial weights from file " + flags.initialWeights);
-              DataInputStream dis = new DataInputStream(new BufferedInputStream(new GZIPInputStream(new FileInputStream(flags.initialWeights))));
-              estimate = Convert.readDoubleArr(dis);
-            } catch (IOException e) {
-              throw new RuntimeException("Could not read from double initial weight file " + flags.initialWeights);
-            }
-          }
-
-          estimate = minimizer.minimize(approxFunc, 1e-2, estimate);
-
-        }
-        */
-        CRFLogConditionalObjectiveFunction func = new CRFLogConditionalObjectiveFunction(
-                data, labels, featureIndex, windowSize, classIndex, labelIndices, map, flags.backgroundSymbol, flags.sigma);
-        func.crfType = flags.crfType;
-        if (evaluators != null) {
-          for (Evaluator eval: evaluators) {
-            if (eval instanceof CRFClassifierEvaluator) {
-              ((CRFClassifierEvaluator) eval).setHelperFunction(func);
-            }
-          }
-        }
-        Minimizer minimizer = getMinimizer(i, evaluators);
-
-        double[] initialWeights;
-        if (flags.initialWeights == null) {
-          initialWeights = func.initial();
-        } else {
-          try {
-            System.err.println("Reading initial weights from file " + flags.initialWeights);
-            DataInputStream dis = new DataInputStream(new BufferedInputStream(new GZIPInputStream(new FileInputStream(flags.initialWeights))));
-            initialWeights = Convert.readDoubleArr(dis);
-          } catch (IOException e) {
-            throw new RuntimeException("Could not read from double initial weight file " + flags.initialWeights);
-          }
-        }
-        System.err.println("numWeights: " + initialWeights.length);
-
-        if (flags.testObjFunction) {
-          StochasticDiffFunctionTester tester = new StochasticDiffFunctionTester(func);
-          if(tester.testSumOfBatches(initialWeights,1e-4)){
-            System.err.println("Testing complete... exiting");
-            System.exit(1);
-          } else {
-            System.err.println("Testing failed....exiting");
-            System.exit(1);
-          }
-
-        }
-        double[] weights = minimizer.minimize(func, flags.tolerance, initialWeights);
-        this.weights = func.to2D(weights);
-      }
-
-      // save feature index to disk and read in later
-      if (flags.saveFeatureIndexToDisk) {
-        try {
-          System.err.println("Reading temporary feature index file.");
-          featureIndex = (Index<String>) IOUtils.readObjectFromFile(featIndexFile);
-        } catch (Exception e) {
-          throw new RuntimeException("Could not open temporary feature index file for reading.");
-        }
-      }
-
-      if (i != flags.numTimesPruneFeatures) {
-        dropFeaturesBelowThreshold(flags.featureDiffThresh);
-        System.err.println("Removing features with weight below " + flags.featureDiffThresh + " and retraining...");
-      }
-
-    }
-  }
-
-  protected Minimizer getMinimizer(){
-    return getMinimizer(0, null);
-  }
-
-  protected Minimizer getMinimizer(int featurePruneIteration, Evaluator[] evaluators){
-    Minimizer minimizer = null;
-    if( flags.useQN ){
-
-      int QNmem;
-      if (featurePruneIteration == 0) {
-        QNmem = flags.QNsize;
-      } else {
-        QNmem = flags.QNsize2;
-      }
-
-      if (flags.interimOutputFreq != 0) {
-        Function monitor = new ResultStoringMonitor(flags.interimOutputFreq, flags.serializeTo);
-        minimizer = new QNMinimizer(monitor,QNmem,flags.useRobustQN);
-      } else {
-        minimizer = new QNMinimizer(QNmem,flags.useRobustQN);
-      }
-    } else if( flags.useInPlaceSGD){
-      StochasticInPlaceMinimizer sgdMinimizer = new StochasticInPlaceMinimizer(flags.sigma, flags.SGDPasses, flags.tuneSampleSize);
-      if (flags.useSGDtoQN) {
-          QNMinimizer qnMinimizer;
-          int QNmem;
-          if (featurePruneIteration == 0) {
-            QNmem = flags.QNsize;
-          } else {
-            QNmem = flags.QNsize2;
-          }
-          if (flags.interimOutputFreq != 0) {
-            Function monitor = new ResultStoringMonitor(flags.interimOutputFreq, flags.serializeTo);
-            qnMinimizer = new QNMinimizer(monitor,QNmem,flags.useRobustQN);
-          } else {
-            qnMinimizer = new QNMinimizer(QNmem,flags.useRobustQN);
-          }
-          minimizer = new HybridMinimizer(sgdMinimizer, qnMinimizer, flags.SGDPasses);
-      } else {
-        minimizer = sgdMinimizer;
-      }
-    } else if( flags.useSGDtoQN ) {
-      minimizer = new SGDToQNMinimizer(flags);
-    } else if( flags.useSMD){
-      minimizer = new SMDMinimizer(flags.initialGain, flags.stochasticBatchSize, flags.stochasticMethod,flags.SGDPasses);
-    } else if( flags.useSGD){
-      minimizer = new SGDMinimizer(flags.initialGain,flags.stochasticBatchSize);
-    } else if( flags.useScaledSGD){
-      minimizer = new ScaledSGDMinimizer(flags.initialGain,flags.stochasticBatchSize,flags.SGDPasses,flags.scaledSGDMethod);
-    } else if( flags.l1reg > 0.0){
-      minimizer = ReflectionLoading.loadByReflection("edu.stanford.nlp.optimization.OWLQNMinimizer", flags.l1reg);
-    }
-
-    if (minimizer instanceof HasEvaluators) {
-      ((HasEvaluators) minimizer).setEvaluators(flags.evaluateIters, evaluators);
-    }
-    if(minimizer==null){
-      throw new RuntimeException("No minimizer assigned!");
-    }
-
-    return minimizer;
-  }
-
-  /**
-   * Creates a new CRFDatum from the preprocessed allData format, given the document number,
-   * position number, and a List of Object labels.
-   *
-   * @return A new CRFDatum
-   */
-  protected List<CRFDatum> extractDatumSequence(int[][][] allData, int beginPosition, int endPosition, List<IN> labeledWordInfos) {
-    List<CRFDatum> result = new ArrayList<CRFDatum>();
-    int beginContext = beginPosition - windowSize + 1;
-    if (beginContext < 0) {
-      beginContext = 0;
-    }
-    // for the beginning context, add some dummy datums with no features!
-    // TODO: is there any better way to do this?
-    for (int position = beginContext; position < beginPosition; position++) {
-      List cliqueFeatures = new ArrayList();
-      for (int i = 0; i < windowSize; i++) {
-        // create a feature list
-        cliqueFeatures.add(Collections.emptySet());
-      }
-      CRFDatum<Serializable,String> datum = new CRFDatum<Serializable,String>(cliqueFeatures, labeledWordInfos.get(position).get(AnswerAnnotation.class));
-      result.add(datum);
-    }
-    // now add the real datums
-    for (int position = beginPosition; position <= endPosition; position++) {
-      List cliqueFeatures = new ArrayList();
-      for (int i = 0; i < windowSize; i++) {
-        // create a feature list
-        Collection<String> features = new ArrayList<String>();
-        for (int j = 0; j < allData[position][i].length; j++) {
-          features.add(featureIndex.get(allData[position][i][j]));
-        }
-        cliqueFeatures.add(features);
-      }
-      CRFDatum<Serializable,String> datum = new CRFDatum<Serializable,String>(cliqueFeatures, labeledWordInfos.get(position).get(AnswerAnnotation.class));
-      result.add(datum);
-    }
-    return result;
-  }
-
-  /**
-   * Adds the List of Lists of CRFDatums to the data and labels arrays, treating each datum as if
-   * it were its own document.
-   * Adds context labels in addition to the target label for each datum, meaning that for a particular
-   * document, the number of labels will be windowSize-1 greater than the number of datums.
-   *
-   * @param processedData a List of Lists of CRFDatums
-   */
-  protected void addProcessedData(List<List<CRFDatum<Collection<String>,String>>> processedData, int[][][][] data, int[][] labels, int offset) {
-    for (int i = 0, pdSize = processedData.size(); i < pdSize; i++) {
-      int dataIndex = i + offset;
-      List<CRFDatum<Collection<String>,String>> document = processedData.get(i);
-      int dsize = document.size();
-      labels[dataIndex] = new int[dsize];
-      data[dataIndex] = new int[dsize][][];
-      for (int j = 0; j < dsize; j++) {
-        CRFDatum<Collection<String>,String> crfDatum = document.get(j);
-        // add label, they are offset by extra context
-        labels[dataIndex][j] = classIndex.indexOf(crfDatum.label());
-        // add features
-        List<Collection<String>> cliques = crfDatum.asFeatures();
-        int csize = cliques.size();
-        data[dataIndex][j] = new int[csize][];
-        for (int k = 0; k < csize; k++) {
-          Collection<String> features = cliques.get(k);
-
-          // Debug only: Remove
-          // if (j < windowSize) {
-          //   System.err.println("addProcessedData: Features Size: " + features.size());
-          // }
-
-          data[dataIndex][j][k] = new int[features.size()];
-
-          int m = 0;
-          try {
-            for (String feature : features) {
-              //System.err.println("feature " + feature);
-              //              if (featureIndex.indexOf(feature)) ;
-              if (featureIndex == null) {
-                System.out.println("Feature is NULL!");
-              }
-              data[dataIndex][j][k][m] = featureIndex.indexOf(feature);
-              m++;
-            }
-          } catch (Exception e) {
-            e.printStackTrace();
-            System.err.printf("[index=%d, j=%d, k=%d, m=%d]\n", dataIndex, j, k, m);
-            System.err.println("data.length                    " + data.length);
-            System.err.println("data[dataIndex].length         " + data[dataIndex].length);
-            System.err.println("data[dataIndex][j].length      " + data[dataIndex][j].length);
-            System.err.println("data[dataIndex][j][k].length   " + data[dataIndex][j].length);
-            System.err.println("data[dataIndex][j][k][m]       " + data[dataIndex][j][k][m]);
-            return;
-          }
-        }
-      }
-    }
-  }
-
-  protected static void saveProcessedData(List datums, String filename) {
-    System.err.print("Saving processsed data of size " + datums.size() + " to serialized file...");
-    ObjectOutputStream oos = null;
-    try {
-      oos = new ObjectOutputStream(new FileOutputStream(filename));
-      oos.writeObject(datums);
-    } catch (IOException e) {
-      // do nothing
-    } finally {
-      IOUtils.closeIgnoringExceptions(oos);
-    }
-    System.err.println("done.");
-  }
-
-  protected static List loadProcessedData(String filename) {
-    System.err.print("Loading processed data from serialized file...");
-    ObjectInputStream ois = null;
-    List result = Collections.emptyList();
-    try {
-      ois = new ObjectInputStream(new FileInputStream(filename));
-      result = (List) ois.readObject();
-    } catch (Exception e) {
-      e.printStackTrace();
-    } finally {
-      IOUtils.closeIgnoringExceptions(ois);
-    }
-    System.err.println("done. Got " + result.size() + " datums.");
-    return result;
-  }
-
-  public void loadTextClassifier(String text, Properties props) throws ClassCastException, IOException, ClassNotFoundException, InstantiationException, IllegalAccessException {
-    //System.err.println("DEBUG: in loadTextClassifier");
-    System.err.println("Loading Text Classifier from "+text);
-    BufferedReader br = new BufferedReader(new InputStreamReader(new GZIPInputStream(new FileInputStream(text))));
-
-    String line = br.readLine();
-    // first line should be this format:
-    // labelIndices.length=\t%d
-    String[] toks = line.split("\\t");
-    if (!toks[0].equals("labelIndices.length=")) { throw new RuntimeException("format error"); }
-    int size = Integer.parseInt(toks[1]);
-    labelIndices = new HashIndex[size];
-    for (int labelIndicesIdx = 0; labelIndicesIdx < size; labelIndicesIdx++) {
-      line = br.readLine();
-      // first line should be this format:
-      // labelIndices.length=\t%d
-      // labelIndices[0].size()=\t%d
-      toks = line.split("\\t");
-      if (! (toks[0].startsWith("labelIndices[") && toks[0].endsWith("].size()="))) {
-        throw new RuntimeException("format error");
-      }
-      int labelIndexSize = Integer.parseInt(toks[1]);
-      labelIndices[labelIndicesIdx] = new HashIndex<CRFLabel>();
-      int count = 0;
-      while(count<labelIndexSize) {
-        line = br.readLine();
-        toks = line.split("\\t");
-        int idx = Integer.parseInt(toks[0]);
-        if (count!=idx) { throw new RuntimeException("format error"); }
-
-        String[] crflabelstr = toks[1].split(" ");
-        int[] crflabel = new int[crflabelstr.length];
-        for (int i=0; i < crflabelstr.length; i++) {
-          crflabel[i] = Integer.parseInt(crflabelstr[i]);
-        }
-        CRFLabel crfL = new CRFLabel(crflabel);
-
-        labelIndices[labelIndicesIdx].add(crfL);
-        count++;
-      }
-    }
-
-    /**************************************/
-    System.err.printf("DEBUG: labelIndices.length=\t%d\n",labelIndices.length);
-    for(int i = 0; i < labelIndices.length; i++) {
-      System.err.printf("DEBUG: labelIndices[%d].size()=\t%d\n", i, labelIndices[i].size());
-      for(int j = 0; j < labelIndices[i].size(); j++) {
-        int[] label = labelIndices[i].get(j).getLabel();
-        List<Integer> list = new ArrayList<Integer>();
-        for(int l : label) {
-          list.add(l);
-        }
-        System.err.printf("DEBUG: %d\t%s\n", j, StringUtils.join(list, " "));
-      }
-    }
-    /**************************************/
-
-
-    line = br.readLine();
-    toks = line.split("\\t");
-    if (!toks[0].equals("classIndex.size()=")) { throw new RuntimeException("format error"); }
-    int classIndexSize = Integer.parseInt(toks[1]);
-    classIndex = new HashIndex<String>();
-    int count = 0;
-    while(count<classIndexSize) {
-      line = br.readLine();
-      toks = line.split("\\t");
-      int idx = Integer.parseInt(toks[0]);
-      if (count!=idx) { throw new RuntimeException("format error"); }
-      classIndex.add(toks[1]);
-      count++;
-    }
-
-    /******************************************/
-    System.err.printf("DEBUG: classIndex.size()=\t%d\n", classIndex.size());
-    for(int i = 0; i < classIndex.size(); i++) {
-      System.err.printf("DEBUG: %d\t%s\n", i, classIndex.get(i));
-    }
-    /******************************************/
-
-
-    line = br.readLine();
-    toks = line.split("\\t");
-    if (!toks[0].equals("featureIndex.size()=")) { throw new RuntimeException("format error"); }
-    int featureIndexSize = Integer.parseInt(toks[1]);
-    featureIndex = new HashIndex<String>();
-    count = 0;
-    while(count<featureIndexSize) {
-      line = br.readLine();
-      toks = line.split("\\t");
-      int idx = Integer.parseInt(toks[0]);
-      if (count!=idx) { throw new RuntimeException("format error"); }
-      featureIndex.add(toks[1]);
-      count++;
-    }
-
-    /***************************************/
-    System.err.printf("DEBUG: featureIndex.size()=\t%d\n", featureIndex.size());
-    /*
-      for(int i = 0; i < featureIndex.size(); i++) {
-        System.err.printf("DEBUG: %d\t%s\n", i, featureIndex.get(i));
-      }
-    */
-    /***************************************/
-
-
-    line = br.readLine();
-    if (!line.equals("<flags>")) { throw new RuntimeException("format error"); }
-    Properties p = new Properties();
-    line = br.readLine();
-
-    while(!line.equals("</flags>")) {
-      //System.err.println("DEBUG: flags line: "+line);
-      String[] keyValue = line.split("=");
-      //System.err.printf("DEBUG: p.setProperty(%s,%s)\n", keyValue[0], keyValue[1]);
-      p.setProperty(keyValue[0], keyValue[1]);
-      line = br.readLine();
-    }
-
-    //System.err.println("DEBUG: out from flags");
-    flags = new SeqClassifierFlags(p);
-    System.err.println("DEBUG: <flags>");
-    System.err.print(flags.toString());
-    System.err.println("DEBUG: </flags>");
-
-    // <featureFactory> edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory </featureFactory>
-    line = br.readLine();
-
-    String[] featureFactoryName = line.split(" ");
-    if (!featureFactoryName[0].equals("<featureFactory>")
-        || !featureFactoryName[2].equals("</featureFactory>")) {
-      throw new RuntimeException("format error");
-    }
-    featureFactory = (edu.stanford.nlp.sequences.FeatureFactory<IN>) Class.forName(featureFactoryName[1]).newInstance();
-    featureFactory.init(flags);
-
-
-    reinit();
-
-    // <windowSize> 2 </windowSize>
-    line = br.readLine();
-
-    String[] windowSizeName = line.split(" ");
-    if (!windowSizeName[0].equals("<windowSize>")
-        || !windowSizeName[2].equals("</windowSize>")) {
-      throw new RuntimeException("format error");
-    }
-    windowSize = Integer.parseInt(windowSizeName[1]);
-
-    // weights.length= 2655170
-    line = br.readLine();
-
-    toks = line.split("\\t");
-    if (!toks[0].equals("weights.length=")) { throw new RuntimeException("format error"); }
-    int weightsLength = Integer.parseInt(toks[1]);
-    weights = new double[weightsLength][];
-    count = 0;
-    while(count < weightsLength) {
-      line = br.readLine();
-
-      toks = line.split("\\t");
-      int weights2Length = Integer.parseInt(toks[0]);
-      weights[count] = new double[weights2Length];
-      String[] weightsValue = toks[1].split(" ");
-      if (weights2Length != weightsValue.length)
-      { throw new RuntimeException("weights format error"); }
-
-      for(int i2 = 0; i2 < weights2Length; i2++) {
-        weights[count][i2] = Double.parseDouble(weightsValue[i2]);
-      }
-      count++;
-    }
-    System.err.printf("DEBUG: double[%d][] weights loaded\n", weightsLength);
-    line = br.readLine();
-
-    if (line != null)
-    { throw new RuntimeException("weights format error"); }
-  }
-
-  /**
-   * Serialize the model to a human readable format.
-   * It's not yet complete. It should now work for Chinese segmenter though.
-   * TODO: check things in serializeClassifier and add other necessary serialization back
-   *
-   * @param serializePath File to write text format of classifier to.
-   */
-  public void serializeTextClassifier(String serializePath) {
-    System.err.print("Serializing Text classifier to " + serializePath + "...");
-    try {
-      PrintWriter pw = new PrintWriter(new GZIPOutputStream(new FileOutputStream(serializePath)));
-
-      pw.printf("labelIndices.length=\t%d\n",labelIndices.length);
-      for(int i = 0; i < labelIndices.length; i++) {
-        pw.printf("labelIndices[%d].size()=\t%d\n", i, labelIndices[i].size());
-        for(int j = 0; j < labelIndices[i].size(); j++) {
-          int[] label = labelIndices[i].get(j).getLabel();
-          List<Integer> list = new ArrayList<Integer>();
-          for(int l : label) {
-            list.add(l);
-          }
-          pw.printf("%d\t%s\n", j, StringUtils.join(list, " "));
-        }
-      }
-
-      pw.printf("classIndex.size()=\t%d\n", classIndex.size());
-      for(int i = 0; i < classIndex.size(); i++) {
-        pw.printf("%d\t%s\n", i, classIndex.get(i));
-      }
-      //pw.printf("</classIndex>\n");
-
-      pw.printf("featureIndex.size()=\t%d\n", featureIndex.size());
-      for(int i = 0; i < featureIndex.size(); i++) {
-        pw.printf("%d\t%s\n", i, featureIndex.get(i));
-      }
-      //pw.printf("</featureIndex>\n");
-
-      pw.println("<flags>");
-      pw.print(flags.toString());
-      pw.println("</flags>");
-
-      pw.printf("<featureFactory> %s </featureFactory>\n",featureFactory.getClass().getName());
-
-      pw.printf("<windowSize> %d </windowSize>\n", windowSize);
-
-      pw.printf("weights.length=\t%d\n", weights.length);
-      for (double[] ws : weights) {
-        ArrayList<Double> list = new ArrayList<Double>();
-        for (double w : ws) {
-          list.add(w);
-        }
-        pw.printf("%d\t%s\n", ws.length, StringUtils.join(list, " "));
-      }
-
-      pw.close();
-      System.err.println("done.");
-
-    } catch (Exception e) {
-      System.err.println("Failed");
-      e.printStackTrace();
-      // don't actually exit in case they're testing too
-      //System.exit(1);
-    }
-  }
-
-
-  /** {@inheritDoc}
-   */
-  @Override
-  public void serializeClassifier(String serializePath) {
-    System.err.print("Serializing classifier to " + serializePath + "...");
-
-    ObjectOutputStream oos = null;
-    try {
-      oos = IOUtils.writeStreamFromString(serializePath);
-
-      oos.writeObject(labelIndices);
-      oos.writeObject(classIndex);
-      oos.writeObject(featureIndex);
-      oos.writeObject(flags);
-      oos.writeObject(featureFactory);
-      oos.writeInt(windowSize);
-      oos.writeObject(weights);
-      //oos.writeObject(WordShapeClassifier.getKnownLowerCaseWords());
-
-      oos.writeObject(knownLCWords);
-
-      System.err.println("done.");
-
-    } catch (Exception e) {
-      System.err.println("Failed");
-      e.printStackTrace();
-      // don't actually exit in case they're testing too
-      //System.exit(1);
-    } finally {
-      IOUtils.closeIgnoringExceptions(oos);
-    }
-  }
-
-
-  /**
-   * Loads a classifier from the specified InputStream.
-   * This version works quietly (unless VERBOSE is true).
-   * If props is non-null then any properties it specifies override
-   * those in the serialized file.  However, only some properties are
-   * sensible to change (you shouldn't change how features are defined).
-   * <p>
-   * <i>Note:</i> This method does not close the ObjectInputStream.  (But
-   * earlier versions of the code used to, so beware....)
-   */
-  @Override
-  @SuppressWarnings({"unchecked"}) // can't have right types in deserialization
-  public void loadClassifier(ObjectInputStream ois, Properties props) throws ClassCastException, IOException, ClassNotFoundException {
-    labelIndices = (Index<CRFLabel>[]) ois.readObject();
-    classIndex = (Index<String>) ois.readObject();
-    featureIndex = (Index<String>) ois.readObject();
-    flags = (SeqClassifierFlags) ois.readObject();
-    featureFactory = (edu.stanford.nlp.sequences.FeatureFactory) ois.readObject();
-
-    if (props != null) {
-      flags.setProperties(props, false);
-    }
-    reinit();
-
-    windowSize = ois.readInt();
-    weights = (double[][]) ois.readObject();
-
-    //WordShapeClassifier.setKnownLowerCaseWords((Set) ois.readObject());
-    knownLCWords = (Set<String>) ois.readObject();
-
-    if (VERBOSE) {
-      System.err.println("windowSize=" + windowSize);
-      System.err.println("flags=\n" + flags);
-    }
-  }
-
-  /**
-   * This is used to load the default supplied classifier stored within
-   * the jar file.
-   * THIS FUNCTION WILL ONLY WORK IF THE CODE WAS LOADED FROM A JAR FILE
-   * WHICH HAS A SERIALIZED CLASSIFIER STORED INSIDE IT.
-   */
-  public void loadDefaultClassifier() {
-    loadJarClassifier(DEFAULT_CLASSIFIER, null);
-  }
-
-
-  /**
-   * This is used to load the default supplied classifier stored within
-   * the jar file.
-   * THIS FUNCTION WILL ONLY WORK IF THE CODE WAS LOADED FROM A JAR FILE
-   * WHICH HAS A SERIALIZED CLASSIFIER STORED INSIDE IT.
-   */
-  public void loadDefaultClassifier(Properties props) {
-    loadJarClassifier(DEFAULT_CLASSIFIER, props);
-  }
-
-
-  /**
-   * Used to get the default supplied classifier inside the jar file.
-   * THIS FUNCTION WILL ONLY WORK IF THE CODE WAS LOADED FROM A JAR FILE
-   * WHICH HAS A SERIALIZED CLASSIFIER STORED INSIDE IT.
-   *
-   * @return The default CRFClassifier in the jar file (if there is one)
-   */
-  public static<IN extends CoreMap> CRFClassifier<IN> getDefaultClassifier() {
-    CRFClassifier<IN> crf = new CRFClassifier<IN>();
-    crf.loadDefaultClassifier();
-    return crf;
-  }
-
-  /**
-   * Used to get the default supplied classifier inside the jar file.
-   * THIS FUNCTION WILL ONLY WORK IF THE CODE WAS LOADED FROM A JAR FILE
-   * WHICH HAS A SERIALIZED CLASSIFIER STORED INSIDE IT.
-   *
-   * @return The default CRFClassifier in the jar file (if there is one)
-   */
-  public static<IN extends CoreMap> CRFClassifier<IN> getDefaultClassifier(Properties props) {
-    CRFClassifier<IN> crf = new CRFClassifier<IN>();
-    crf.loadDefaultClassifier(props);
-    return crf;
-  }
-
-  /**
-   * Used to load a classifier stored as a resource inside a jar file.
-   * THIS FUNCTION WILL ONLY WORK IF THE CODE WAS LOADED FROM A JAR FILE
-   * WHICH HAS A SERIALIZED CLASSIFIER STORED INSIDE IT.
-   *
-   * @param resourceName Name of clasifier resource inside the jar file.
-   * @return A CRFClassifier stored in the jar file
-   */
-  public static<IN extends CoreMap> CRFClassifier<IN> getJarClassifier(String resourceName, Properties props) {
-    CRFClassifier<IN> crf = new CRFClassifier<IN>();
-    crf.loadJarClassifier(resourceName, props);
-    return crf;
-  }
-
-
-  /** Loads a CRF classifier from a filepath, and returns it.
-   *
-   *  @param file File to load classifier from
-   *  @return The CRF classifier
-   *
-   *  @throws IOException If there are problems accessing the input stream
-   *  @throws ClassCastException If there are problems interpreting the serialized data
-   *  @throws ClassNotFoundException If there are problems interpreting the serialized data
-   */
-  public static<IN extends CoreMap> CRFClassifier<IN> getClassifier(File file) throws IOException, ClassCastException, ClassNotFoundException {
-    CRFClassifier<IN> crf = new CRFClassifier<IN>();
-    crf.loadClassifier(file);
-    return crf;
-  }
-
-  /** Loads a CRF classifier from an InputStream, and returns it.  This method
-   *  does not buffer the InputStream, so you should have buffered it before
-   *  calling this method.
-   *
-   *  @param in InputStream to load classifier from
-   *  @return The CRF classifier
-   *
-   *  @throws IOException If there are problems accessing the input stream
-   *  @throws ClassCastException If there are problems interpreting the serialized data
-   *  @throws ClassNotFoundException If there are problems interpreting the serialized data
-   */
-  public static CRFClassifier getClassifier(InputStream in) throws IOException, ClassCastException, ClassNotFoundException {
-    CRFClassifier crf = new CRFClassifier();
-    crf.loadClassifier(in);
-    return crf;
-  }
-
-  public static CRFClassifier getClassifierNoExceptions(String loadPath) {
-    CRFClassifier crf = new CRFClassifier();
-    crf.loadClassifierNoExceptions(loadPath);
-    return crf;
-  }
-
-  public static CRFClassifier getClassifier(String loadPath) throws IOException, ClassCastException, ClassNotFoundException {
-    CRFClassifier crf = new CRFClassifier();
-    crf.loadClassifier(loadPath);
-    return crf;
-  }
-
-  public static CRFClassifier getClassifier(String loadPath, Properties props) throws IOException, ClassCastException, ClassNotFoundException {
-    CRFClassifier crf = new CRFClassifier();
-    crf.loadClassifier(loadPath, props);
-    return crf;
-  }
-
-
-  /** The main method. See the class documentation. */
-  public static void main(String[] args) throws Exception {
-    StringUtils.printErrInvocationString("CRFClassifier", args);
-
-    Properties props = StringUtils.argsToProperties(args);
-    CRFClassifier crf = new CRFClassifier(props);
-    String testFile = crf.flags.testFile;
-    String textFile = crf.flags.textFile;
-    String loadPath = crf.flags.loadClassifier;
-    String loadTextPath = crf.flags.loadTextClassifier;
-    String serializeTo = crf.flags.serializeTo;
-    String serializeToText = crf.flags.serializeToText;
-
-    if (loadPath != null) {
-      crf.loadClassifierNoExceptions(loadPath, props);
-    } else if (loadTextPath != null) {
-      System.err.println("Warning: this is now only tested for Chinese Segmenter");
-      System.err.println("(Sun Dec 23 00:59:39 2007) (pichuan)");
-      try {
-        crf.loadTextClassifier(loadTextPath, props);
-        //System.err.println("DEBUG: out from crf.loadTextClassifier");
-      } catch (Exception e) {
-        throw new RuntimeException("error loading "+loadTextPath, e);
-      }
-    } else if (crf.flags.loadJarClassifier != null) {
-      crf.loadJarClassifier(crf.flags.loadJarClassifier, props);
-    } else if (crf.flags.trainFile != null || crf.flags.trainFileList != null) {
-      crf.train();
-    } else {
-      crf.loadDefaultClassifier();
-    }
-
-    // System.err.println("Using " + crf.flags.featureFactory);
-    // System.err.println("Using " + StringUtils.getShortClassName(crf.readerAndWriter));
-
-    if (serializeTo != null) {
-      crf.serializeClassifier(serializeTo);
-    }
-
-    if (serializeToText != null) {
-      crf.serializeTextClassifier(serializeToText);
-    }
-
-    if (testFile != null) {
-      DocumentReaderAndWriter readerAndWriter = crf.makeReaderAndWriter();
-      if (crf.flags.searchGraphPrefix != null) {
-        crf.classifyAndWriteViterbiSearchGraph(testFile,crf.flags.searchGraphPrefix,crf.makeReaderAndWriter());
-      } else if (crf.flags.printFirstOrderProbs) {
-        crf.printFirstOrderProbs(testFile, readerAndWriter);
-      } else if (crf.flags.printProbs) {
-        crf.printProbs(testFile, readerAndWriter);
-      } else if (crf.flags.useKBest) {
-        int k = crf.flags.kBest;
-        crf.classifyAndWriteAnswersKBest(testFile, k, readerAndWriter);
-      } else if (crf.flags.printLabelValue) {
-        crf.printLabelInformation(testFile, readerAndWriter);
-      } else {
-        crf.classifyAndWriteAnswers(testFile, readerAndWriter);
-      }
-    }
-
-    if (textFile != null) {
-      // todo: This is at present hardwired to PTBTokenizer.
-      // Generalize for other uses (like Chinese NER)
-      DocumentReaderAndWriter readerAndWriter =
-        new PlainTextDocumentReaderAndWriter();
-      readerAndWriter.init(crf.flags);
-      crf.classifyAndWriteAnswers(textFile, readerAndWriter);
-    }
-  } // end main
-  
-  @Override
-  public List<IN> classifyWithGlobalInformation(List<IN> tokenSeq, final CoreMap doc, final CoreMap sent) {
-    return classify(tokenSeq);
-  }
-
-} // end class CRFClassifier
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFClassifierEvaluator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFClassifierEvaluator.java
deleted file mode 100644
index d2d5ebf..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFClassifierEvaluator.java
+++ /dev/null
@@ -1,139 +0,0 @@
-package edu.stanford.nlp.ie.crf;
-
-import edu.stanford.nlp.optimization.CmdEvaluator;
-import edu.stanford.nlp.sequences.DocumentReaderAndWriter;
-import edu.stanford.nlp.stats.MultiClassChunkEvalStats;
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.Pair;
-
-import java.io.*;
-import java.util.Collection;
-import java.util.List;
-
-/**
- * Evaluates CRFClassifier on a set of data
- * - called by QNMinimizer periodically 
- * - If evalCmd is set, runs command line specified by evalCmd
- *                      otherwise does evaluation internally
- *   NOTE: when running conlleval with exec on Linux, linux will first
- *          fork process by duplicating memory of current process.  So if
- *          JVM has lots of memory, it will all be duplicated when
- *          child process is initially forked.
- * @author Angel Chang
- */
-public class CRFClassifierEvaluator<IN extends CoreMap> extends CmdEvaluator {
-  private CRFClassifier<IN> classifier;
-  private CRFLogConditionalObjectiveFunction func;
-  // NOTE: Defalt uses -r, specify without -r if IOB
-  private String cmdStr = "/u/nlp/bin/conlleval -r";
-  private String[] cmd;
-
-  // TODO: Use data structure to hold data + features
-  // Cache already featurized documents
-  // Original object bank
-  Collection<List<IN>> data;
-  // Featurized data
-  List<Pair<int[][][], int[]>> featurizedData;
-  
-  public CRFClassifierEvaluator(String description,
-                                CRFClassifier<IN> classifier,
-                                CRFLogConditionalObjectiveFunction func,
-                                Collection<List<IN>> data,
-                                List<Pair<int[][][], int[]>> featurizedData)
-  {
-    this.description = description;
-    this.classifier = classifier;
-    this.func = func;
-    this.data = data;
-    this.featurizedData = featurizedData;
-    cmd = getCmd(cmdStr);
-  }
-
-  public CRFClassifierEvaluator(String description,
-                                CRFClassifier<IN> classifier)
-  {
-    this.description = description;
-    this.classifier = classifier;
-  }
-  
-  /**
-   * Set helper function
-   */
-  public void setHelperFunction(CRFLogConditionalObjectiveFunction func)
-  {
-    this.func = func;
-  }
-
-  /**
-   * Set the data to test on
-   */
-  public void setTestData(Collection<List<IN>> data, List<Pair<int[][][], int[]>> featurizedData)
-  {
-    this.data = data;
-    this.featurizedData = featurizedData;
-  }
-
-  /**
-   * Set the evaluation command (set to null to skip evaluation using command line)
-   * @param evalCmd
-   */
-  public void setEvalCmd(String evalCmd)
-  {
-    this.cmdStr = evalCmd;
-    if (cmdStr != null) {
-      cmdStr = cmdStr.trim();
-      if (cmdStr.length() == 0) { cmdStr = null; }
-    }
-    cmd = getCmd(cmdStr);
-  }
-
-  public void setValues(double[] x)
-  {
-    // TODO: Avoid this conversion of weights from 1D to 2D and usage of the
-    //       CRFLogConditionalObjectiveFunction
-    // (unnecessary and expensive if weights are large vectors - like say 100 million)
-    classifier.weights = func.to2D(x);
-  }
-
-  public String[] getCmd()
-  {
-    return cmd;
-  }
-
-  public void outputToCmd(OutputStream outputStream)
-  {
-    try {
-      classifier.classifyAndWriteAnswers(data, featurizedData, outputStream,
-                                         classifier.makeReaderAndWriter());
-    } catch (Exception ex) {
-      throw new RuntimeException(ex);
-    }
-  }
-
-  public double evaluate(double[] x) {
-    double score = 0;
-    setValues(x);
-    if (getCmd() != null) {
-      evaluateCmd(getCmd());
-    } else {
-      try {
-        // TODO: Classify in memory instead of writing to tmp file
-        File f = File.createTempFile("CRFClassifierEvaluator","txt");
-        f.deleteOnExit();
-        OutputStream outputStream = new BufferedOutputStream(new FileOutputStream(f));
-        classifier.classifyAndWriteAnswers(data, featurizedData, outputStream,
-                                           classifier.makeReaderAndWriter());
-        outputStream.close();
-        BufferedReader br = new BufferedReader(new FileReader(f));
-        MultiClassChunkEvalStats stats = new MultiClassChunkEvalStats("O");
-        score = stats.score(br, "\t");
-        System.err.println(stats.getConllEvalString());
-        f.delete();
-      } catch (Exception ex) {
-        throw new RuntimeException(ex);
-      }
-    }
-    return score;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFCliqueTree.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFCliqueTree.java
deleted file mode 100644
index ffaacb0..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFCliqueTree.java
+++ /dev/null
@@ -1,651 +0,0 @@
-package edu.stanford.nlp.ie.crf;
-
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.sequences.SequenceListener;
-import edu.stanford.nlp.sequences.SequenceModel;
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.stats.GeneralizedCounter;
-import edu.stanford.nlp.util.Index;
-
-import java.util.Arrays;
-import java.util.List;
-
-
-/** Builds a CliqueTree (an array of FactorTable) and does message passing
- *  inference along it.
- *
- *  @author Jenny Finkel
- */
-public class CRFCliqueTree implements SequenceModel, SequenceListener {
-
-  private FactorTable[] factorTables;
-  private double z; // norm constant
-  private Index classIndex;
-  private String backgroundSymbol;
-  private int backgroundIndex;
-  // the window size, which is also the clique size
-  private int windowSize;
-  // the number of possible classes for each label
-  private int numClasses;
-  private int[] possibleValues;
-
-  private CRFCliqueTree() {}
-
-  private CRFCliqueTree(FactorTable[] factorTables, Index classIndex, String backgroundSymbol) {
-    this.factorTables = factorTables;
-    this.classIndex = classIndex;
-    this.backgroundSymbol = backgroundSymbol;
-    backgroundIndex = classIndex.indexOf(backgroundSymbol);
-    z = factorTables[0].totalMass();
-    windowSize = factorTables[0].windowSize();
-    numClasses = classIndex.size();
-    possibleValues = new int[numClasses];
-    for (int i=0; i<numClasses; i++) {
-      possibleValues[i] = i;
-    }
-
-    //Debug only
-    //System.out.println("CRFCliqueTree constructed::numClasses: " + numClasses);
-  }
-
-  public Index classIndex() {
-    return classIndex;
-  }
-
-  // SEQUENCE MODEL METHODS
-
-  public int length() {
-    return factorTables.length;
-  }
-
-  public int leftWindow() {
-    return windowSize;
-  }
-
-  public int rightWindow() {
-    return 0;
-  }
-
-  public int[] getPossibleValues(int position)  {
-    return possibleValues;
-  }
-
-  public double scoreOf(int[] sequence, int pos) {
-    return scoresOf(sequence, pos)[sequence[pos]];
-  }
-
-  /**
-   * Computes the unnormalized log conditional distribution over values of the
-   * element at position pos in the sequence, conditioned on the values
-   *  of the elements in all other positions of the provided sequence.
-   *
-   * @param sequence the sequence containing the rest of the values to condition on
-   * @param position     the position of the element to give a distribution for
-   * @return an array of type double, representing a probability distribution; sums to 1.0
-   */
-  public double[] scoresOf(int[] sequence, int position) {
-    if (position>=factorTables.length) throw new RuntimeException("Index out of bounds: " + position);
-//    DecimalFormat nf = new DecimalFormat("#0.000");
-    // if (position>0 && position<sequence.length-1) System.out.println(position + ": asking about " +sequence[position-1] + "(" + sequence[position] + ")" + sequence[position+1]);
-    double[] probThisGivenPrev = new double[numClasses];
-    double[] probNextGivenThis = new double[numClasses];
-//    double[] marginal = new double[numClasses];     // for debugging only
-
-    // compute prob of this tag given the window-1 previous tags, normalized
-    // extract the window-1 previous tags, pad left with background if necessary
-    int prevLength = windowSize-1;
-    int[] prev = new int[prevLength+1]; // leave an extra element for the label at this position
-    int i=0;
-    for ( ; i<prevLength-position; i++) { // will only happen if position-prevLength < 0
-      prev[i] = classIndex.indexOf(backgroundSymbol);
-    }
-    for ( ; i<prevLength; i++) {
-      prev[i] = sequence[position-prevLength+i];
-    }
-    for (int label=0; label<numClasses; label++) {
-      prev[prev.length-1] = label;
-      probThisGivenPrev[label] = factorTables[position].unnormalizedLogProb(prev);
-//      marginal[label] = factorTables[position].logProbEnd(label);     // remove: for debugging only
-    }
-
-    // ArrayMath.logNormalize(probThisGivenPrev);
-
-    // compute the prob of the window-1 next tags given this tag
-    // extract the window-1 next tags
-    int nextLength = windowSize-1;
-    if (position+nextLength>=length()) {
-      nextLength = length()-position-1;
-    }
-    FactorTable nextFactorTable = factorTables[position+nextLength];
-    if (nextLength != windowSize - 1) {
-      for (int j = 0; j < windowSize - 1 - nextLength; j++) {
-        nextFactorTable = nextFactorTable.sumOutFront();
-      }
-    }
-    if (nextLength==0) { // we are asking about the prob of no sequence
-      Arrays.fill(probNextGivenThis, 1.0);
-    } else {
-      int[] next = new int[nextLength];
-      System.arraycopy(sequence, position+1, next, 0, nextLength);
-      for (int label=0; label<numClasses; label++) {
-        // ask the factor table such that pos is the first position in the window
-        //probNextGivenThis[label] = factorTables[position+nextLength].conditionalLogProbGivenFirst(label, next);
-        //probNextGivenThis[label] = nextFactorTable.conditionalLogProbGivenFirst(label, next);
-        probNextGivenThis[label] = nextFactorTable.unnormalizedConditionalLogProbGivenFirst(label, next);
-      }
-    }
-
-    // pointwise multiply
-    return ArrayMath.pairwiseAdd(probThisGivenPrev, probNextGivenThis);
-  }
-
-
-
-  /**
-   * Returns the log probability of this sequence given the CRF.
-   * Does so by computing the marginal of the first windowSize tags, and
-   * then computing the conditional probability for the rest of them, conditioned on the previous
-   * tags.
-   * @param sequence the sequence to compute a score for
-   * @return the score for the sequence
-   */
-  public double scoreOf(int[] sequence) {
-
-    int[] given = new int[window() - 1];
-    Arrays.fill(given, classIndex.indexOf(backgroundSymbol));
-    double logProb = 0;
-    for (int i=0; i<length(); i++) {
-      int label = sequence[i];
-      logProb += condLogProbGivenPrevious(i, label, given);
-      System.arraycopy(given, 1, given, 0, given.length - 1);
-      given[given.length - 1] = label;
-    }
-    return logProb;
-  }
-
-
-
-  // OTHER
-
-  public int window() {
-    return windowSize;
-  }
-
-  public int getNumClasses() {
-    return numClasses;
-  }
-
-  public double totalMass() {
-    return z;
-  }
-
-  public int backgroundIndex() {
-    return backgroundIndex;
-  }
-
-  public String backgroundSymbol() {
-    return backgroundSymbol;
-  }
-
-  //
-  // MARGINAL PROB OF TAG AT SINGLE POSITION
-  //
-
-  public double logProb(int position, int label) {
-    double u = factorTables[position].unnormalizedLogProbEnd(label);
-    return u - z;
-  }
-
-  public double prob(int position, int label) {
-    return Math.exp(logProb(position, label));
-  }
-
-  public double logProb(int position, Object label) {
-    return logProb(position, classIndex.indexOf(label));
-  }
-
-  public double prob(int position, Object label) {
-    return Math.exp(logProb(position, label));
-  }
-
-  public ClassicCounter probs(int position) {
-    ClassicCounter c = new ClassicCounter();
-    for (int i = 0; i < classIndex.size(); i++) {
-      Object label = classIndex.get(i);
-      c.incrementCount(label, prob(position, i));
-    }
-    return c;
-  }
-
-  public ClassicCounter logProbs(int position) {
-    ClassicCounter c = new ClassicCounter();
-    for (int i = 0; i < classIndex.size(); i++) {
-      Object label = classIndex.get(i);
-      c.incrementCount(label, logProb(position, i));
-    }
-    return c;
-  }
-
-  //
-  // MARGINAL PROBS OF TAGS AT MULTIPLE POSITIONS
-  //
-
-  /**
-   * returns the log probability for the given labels (indexed using classIndex), where the
-   * last label corresponds to the label at the specified position.  For instance if you called
-   * logProb(5, {1,2,3}) it will return the marginal log prob that the label at position
-   * 3 is 1, the label at position 4 is 2 and the label at position 5 is 3.
-   */
-  public double logProb(int position, int[] labels) {
-    if (labels.length < windowSize) {
-      return factorTables[position].unnormalizedLogProbEnd(labels) - z;
-    } else if (labels.length == windowSize) {
-      return factorTables[position].unnormalizedLogProb(labels) - z;
-    } else {
-      int[] l = new int[windowSize];
-      System.arraycopy(labels, 0, l, 0, l.length);
-      int position1 = position-labels.length+windowSize;
-      double p = factorTables[position1].unnormalizedLogProb(l) - z;
-      l = new int[windowSize-1];
-      System.arraycopy(labels, 1, l, 0, l.length);
-      position1++;
-      for (int i = windowSize; i < labels.length; i++) {
-        p += condLogProbGivenPrevious(position1++, labels[i], l);
-        System.arraycopy(l, 1, l, 0, l.length-1);
-        l[windowSize-2] = labels[i];
-      }
-      return p;
-    }
-  }
-
-  /**
-   * Returns the probability for the given labels (indexed using classIndex), where the
-   * last label corresponds to the label at the specified position.  For instance if you called
-   * prob(5, {1,2,3}) it will return the marginal prob that the label at position
-   * 3 is 1, the label at position 4 is 2 and the label at position 5 is 3.
-   */
-  public double prob(int position, int[] labels) {
-    return Math.exp(logProb(position, labels));
-  }
-
-  /**
-   * returns the log probability for the given labels, where the
-   * last label corresponds to the label at the specified position.  For instance if you called
-   * logProb(5, {"O", "PER", "ORG"}) it will return the marginal log prob that the label at position
-   * 3 is "O", the label at position 4 is "PER" and the label at position 5 is "ORG".
-   */
-  public double logProb(int position, Object[] labels) {
-    return logProb(position, objectArrayToIntArray(labels));
-  }
-
-  /**
-   * returns the probability for the given labels, where the
-   * last label corresponds to the label at the specified position.  For instance if you called
-   * logProb(5, {"O", "PER", "ORG"}) it will return the marginal prob that the label at position
-   * 3 is "O", the label at position 4 is "PER" and the label at position 5 is "ORG".
-   */
-  public double prob(int position, Object[] labels) {
-    return Math.exp(logProb(position, labels));
-  }
-
-  public GeneralizedCounter logProbs(int position, int window) {
-    GeneralizedCounter gc = new GeneralizedCounter(window);
-    int[] labels = new int[window];
-    // cdm july 2005: below array initialization isn't necessary: JLS (3rd ed.) 4.12.5
-    // Arrays.fill(labels, 0);
-
-    OUTER: while (true) {
-      List labelsList = Arrays.asList(intArrayToObjectArray(labels));
-      gc.incrementCount(labelsList, logProb(position, labels));
-      for (int i = 0; i < labels.length; i++) {
-        labels[i]++;
-        if (labels[i] < numClasses) { break; }
-        if (i == labels.length - 1) { break OUTER; }
-        labels[i] = 0;
-      }
-    }
-    return gc;
-  }
-
-  public GeneralizedCounter probs(int position, int window) {
-    GeneralizedCounter gc = new GeneralizedCounter(window);
-    int[] labels = new int[window];
-    // cdm july 2005: below array initialization isn't necessary: JLS (3rd ed.) 4.12.5
-    // Arrays.fill(labels, 0);
-
-    OUTER: while (true) {
-      List labelsList = Arrays.asList(intArrayToObjectArray(labels));
-      gc.incrementCount(labelsList, prob(position, labels));
-      for (int i = 0; i < labels.length; i++) {
-        labels[i]++;
-        if (labels[i] < numClasses) { break; }
-        if (i == labels.length - 1) { break OUTER; }
-        labels[i] = 0;
-      }
-    }
-    return gc;
-  }
-
-  //
-  // HELPER METHODS
-  //
-
-  private int[] objectArrayToIntArray(Object[] os) {
-    int[] is = new int[os.length];
-    for (int i = 0; i < os.length; i++) {
-      is[i] = classIndex.indexOf(os[i]);
-    }
-    return is;
-  }
-
-  private Object[] intArrayToObjectArray(int[] is) {
-    Object[] os = new Object[is.length];
-    for (int i = 0; i < is.length; i++) {
-      os[i] = classIndex.get(is[i]);
-    }
-    return os;
-  }
-
-
-  /**
-   * Gives the probability of a tag at a single position conditioned on
-   * a sequence of previous labels.
-   *
-   * @param position Index in sequence
-   * @param label Label of item at index
-   * @param prevLabels
-   * @return conditional log probability
-   */
-  public double condLogProbGivenPrevious(int position, int label, int[] prevLabels) {
-    if (prevLabels.length + 1 == windowSize) {
-      return factorTables[position].conditionalLogProbGivenPrevious(prevLabels, label);
-    } else if (prevLabels.length + 1 < windowSize) {
-      FactorTable ft = factorTables[position].sumOutFront();
-      while (ft.windowSize() > prevLabels.length + 1) {
-        ft = ft.sumOutFront();
-      }
-      return ft.conditionalLogProbGivenPrevious(prevLabels, label);
-    } else {
-      int[] p = new int[windowSize-1];
-      System.arraycopy(prevLabels, prevLabels.length - p.length, p, 0, p.length);
-      return factorTables[position].conditionalLogProbGivenPrevious(p, label);
-    }
-  }
-
-  public double condLogProbGivenPrevious(int position, Object label, Object[] prevLabels) {
-    return condLogProbGivenPrevious(position, classIndex.indexOf(label), objectArrayToIntArray(prevLabels));
-  }
-
-  public double condProbGivenPrevious(int position, int label, int[] prevLabels) {
-    return Math.exp(condLogProbGivenPrevious(position, label, prevLabels));
-  }
-
-  public double condProbGivenPrevious(int position, Object label, Object[] prevLabels) {
-    return Math.exp(condLogProbGivenPrevious(position, label, prevLabels));
-  }
-
-  public ClassicCounter condLogProbsGivenPrevious(int position, int[] prevlabels) {
-    ClassicCounter c = new ClassicCounter();
-    for (int i = 0; i < classIndex.size(); i++) {
-      Object label = classIndex.get(i);
-      c.incrementCount(label, condLogProbGivenPrevious(position, i, prevlabels));
-    }
-    return c;
-  }
-
-  public ClassicCounter condLogProbsGivenPrevious(int position, Object[] prevlabels) {
-    ClassicCounter c = new ClassicCounter();
-    for (int i = 0; i < classIndex.size(); i++) {
-      Object label = classIndex.get(i);
-      c.incrementCount(label, condLogProbGivenPrevious(position, i, prevlabels));
-    }
-    return c;
-  }
-
-  //
-  // PROB OF TAG AT SINGLE POSITION CONDITIONED ON FOLLOWING SEQUENCE OF LABELS
-  //
-
- public double condLogProbGivenNext(int position, int label, int[] nextLabels) {
-   position = position+nextLabels.length;
-    if (nextLabels.length + 1 == windowSize) {
-      return factorTables[position].conditionalLogProbGivenNext(nextLabels, label);
-    } else if (nextLabels.length + 1 < windowSize) {
-      FactorTable ft = factorTables[position].sumOutFront();
-      while (ft.windowSize() > nextLabels.length + 1) {
-        ft = ft.sumOutFront();
-      }
-      return ft.conditionalLogProbGivenPrevious(nextLabels, label);
-    } else {
-      int[] p = new int[windowSize-1];
-      System.arraycopy(nextLabels, 0, p, 0, p.length);
-      return factorTables[position].conditionalLogProbGivenPrevious(p, label);
-    }
-  }
-
-  public double condLogProbGivenNext(int position, Object label, Object[] nextLabels) {
-    return condLogProbGivenNext(position, classIndex.indexOf(label), objectArrayToIntArray(nextLabels));
-  }
-
-  public double condProbGivenNext(int position, int label, int[] nextLabels) {
-    return Math.exp(condLogProbGivenNext(position, label, nextLabels));
-  }
-
-  public double condProbGivenNext(int position, Object label, Object[] nextLabels) {
-    return Math.exp(condLogProbGivenNext(position, label, nextLabels));
-  }
-
-  public ClassicCounter condLogProbsGivenNext(int position, int[] nextlabels) {
-    ClassicCounter c = new ClassicCounter();
-    for (int i = 0; i < classIndex.size(); i++) {
-      Object label = classIndex.get(i);
-      c.incrementCount(label, condLogProbGivenNext(position, i, nextlabels));
-    }
-    return c;
-  }
-
-  public ClassicCounter condLogProbsGivenNext(int position, Object[] nextlabels) {
-    ClassicCounter c = new ClassicCounter();
-    for (int i = 0; i < classIndex.size(); i++) {
-      Object label = classIndex.get(i);
-      c.incrementCount(label, condLogProbGivenNext(position, i, nextlabels));
-    }
-    return c;
-  }
-
-  //
-  // PROB OF TAG AT SINGLE POSITION CONDITIONED ON PREVIOUS AND FOLLOWING SEQUENCE OF LABELS
-  //
-
-//   public double condProbGivenPreviousAndNext(int position, int label, int[] prevLabels, int[] nextLabels) {
-
-//   }
-
-
-  //
-  // JOINT CONDITIONAL PROBS
-  //
-
-  /**
-   * @return a new CRFCliqueTree for the weights on the data
-   */
-  public static CRFCliqueTree getCalibratedCliqueTree(double[][] weights, int[][][] data, Index[] labelIndices, int numClasses, Index classIndex, String backgroundSymbol) {
-
-
-    FactorTable[] factorTables = new FactorTable[data.length];
-    FactorTable[] messages = new FactorTable[data.length - 1];
-
-    for (int i = 0; i < data.length; i++) {
-
-      factorTables[i] = getFactorTable(weights, data[i], labelIndices, numClasses);
-
-      if (i > 0) {
-        messages[i - 1] = factorTables[i - 1].sumOutFront();
-        factorTables[i].multiplyInFront(messages[i - 1]);
-      }
-    }
-
-    for (int i = factorTables.length - 2; i >= 0; i--) {
-
-      FactorTable summedOut = factorTables[i + 1].sumOutEnd();
-      summedOut.divideBy(messages[i]);
-      factorTables[i].multiplyInEnd(summedOut);
-    }
-
-    return new CRFCliqueTree(factorTables, classIndex, backgroundSymbol);
-  }
-
-  /**
-   * @return a new CRFCliqueTree for the weights on the data
-   */
-  public static CRFCliqueTree getCalibratedCliqueTree(double[] weights,
-                                                      double wscale,
-                                                      int[][] weightIndices,
-                                                      int[][][] data,
-                                                      Index[] labelIndices,
-                                                      int numClasses,
-                                                      Index classIndex,
-                                                      String backgroundSymbol) {
-
-
-    FactorTable[] factorTables = new FactorTable[data.length];
-    FactorTable[] messages = new FactorTable[data.length - 1];
-
-    for (int i = 0; i < data.length; i++) {
-
-      factorTables[i] = getFactorTable(weights, wscale, weightIndices, data[i], labelIndices, numClasses);
-
-      if (i > 0) {
-        messages[i - 1] = factorTables[i - 1].sumOutFront();
-        factorTables[i].multiplyInFront(messages[i - 1]);
-      }
-    }
-
-    for (int i = factorTables.length - 2; i >= 0; i--) {
-
-      FactorTable summedOut = factorTables[i + 1].sumOutEnd();
-      summedOut.divideBy(messages[i]);
-      factorTables[i].multiplyInEnd(summedOut);
-    }
-
-    return new CRFCliqueTree(factorTables, classIndex, backgroundSymbol);
-  }
-
-  private static FactorTable getFactorTable(double[] weights, double wscale, int[][] weightIndices, int[][] data, Index[] labelIndices, int numClasses) {
-
-    FactorTable factorTable = null;
-
-    for (int j = 0; j < labelIndices.length; j++) {
-      Index labelIndex = labelIndices[j];
-      FactorTable ft = new FactorTable(numClasses, j + 1);
-
-      // ... and each possible labeling for that clique
-      for (int k = 0, liSize = labelIndex.size(); k < liSize; k++) {
-        int[] label = ((CRFLabel) labelIndex.get(k)).getLabel();
-        double weight = 0.0;
-        for (int m = 0; m < data[j].length; m++) {
-          int wi = weightIndices[data[j][m]][k];
-          weight += wscale*weights[wi];
-        }
-        //      try{
-        ft.setValue(label, weight);
-        // } catch (Exception e) {
-//          System.out.println("CRFCliqueTree::getFactorTable");
-//          System.out.println("NumClasses: " + numClasses + " j+1: " + (j+1));
-//          System.out.println("k: " + k+" label: "  +label+" labelIndexSize: " + labelIndex.size());
-//          throw new RunTimeException(e.toString());
-//      }
-
-      }
-      if (j > 0) {
-        ft.multiplyInEnd(factorTable);
-      }
-      factorTable = ft;
-
-    }
-
-    return factorTable;
-  }
-
-  private static FactorTable getFactorTable(double[][] weights, int[][] data, Index[] labelIndices, int numClasses) {
-
-    FactorTable factorTable = null;
-
-    for (int j = 0; j < labelIndices.length; j++) {
-      Index labelIndex = labelIndices[j];
-      FactorTable ft = new FactorTable(numClasses, j + 1);
-
-      // ... and each possible labeling for that clique
-      for (int k = 0, liSize = labelIndex.size(); k < liSize; k++) {
-        int[] label = ((CRFLabel) labelIndex.get(k)).getLabel();
-        double weight = 0.0;
-        for (int m = 0; m < data[j].length; m++) {
-          weight += weights[data[j][m]][k];
-        }
-        //      try{
-        ft.setValue(label, weight);
-        // } catch (Exception e) {
-//          System.out.println("CRFCliqueTree::getFactorTable");
-//          System.out.println("NumClasses: " + numClasses + " j+1: " + (j+1));
-//          System.out.println("k: " + k+" label: "  +label+" labelIndexSize: " + labelIndex.size());
-//          throw new RunTimeException(e.toString());
-//      }
-
-      }
-      if (j > 0) {
-        ft.multiplyInEnd(factorTable);
-      }
-      factorTable = ft;
-
-    }
-
-    return factorTable;
-
-  }
-
-  // SEQUENCE MODEL METHODS
-
-  /**
-   * Computes the distribution over values of the element at position pos in the sequence,
-   * conditioned on the values of the elements in all other positions of the provided sequence.
-   *
-   * @param sequence the sequence containing the rest of the values to condition on
-   * @param position      the position of the element to give a distribution for
-   * @return an array of type double, representing a probability distribution; sums to 1.0
-   */
-  public double[] getConditionalDistribution(int[] sequence, int position) {
-    double[] result = scoresOf(sequence, position);
-    ArrayMath.logNormalize(result);
-    // System.out.println("marginal:          " + ArrayMath.toString(marginal, nf));
-    // System.out.println("conditional:       " + ArrayMath.toString(result, nf));
-    result = ArrayMath.exp(result);
-    // System.out.println("conditional:       " + ArrayMath.toString(result, nf));
-    return result;
-  }
-
-  /**
-   * Informs this sequence model that the value of the element at position pos has changed.
-   * This allows this sequence model to update its internal model if desired.
-   *
-   */
-  public void updateSequenceElement(int[] sequence, int pos, int oldVal) {
-    // do nothing; we don't change this model
-  }
-
-  /**
-   * Informs this sequence model that the value of the whole sequence is initialized to sequence
-   *
-   */
-  public void setInitialSequence(int[] sequence) {
-    // do nothing
-  }
-
-  /**
-   * @return the number of possible values for each element; it is assumed
-   *         to be the same for the element at each position
-   */
-  public int getNumValues() {
-    return numClasses;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFDatum.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFDatum.java
deleted file mode 100644
index c483dcb..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFDatum.java
+++ /dev/null
@@ -1,110 +0,0 @@
-package edu.stanford.nlp.ie.crf;
-
-import edu.stanford.nlp.ling.Datum;
-
-import java.io.Serializable;
-import java.util.List;
-
-
-/**
- * The representation of Datums used internally in CRFClassifier.
- *
- * @author Jenny Finkel
- */
-
-public class CRFDatum<FEAT,LAB> implements Serializable {
-
-  /**
-   * Features for this Datum.
-   */
-  private final List<FEAT> features;
-  private LAB label; // = null;
-
-  /**
-   * Constructs a new BasicDatum with the given features and label.
-   *
-   * @param features The features of the CRFDatum
-   * @param label The label of the CRFDatum
-   */
-  public CRFDatum(List<FEAT> features, LAB label) {
-    this(features);
-    setLabel(label);
-  }
-
-  /**
-   * Constructs a new BasicDatum with the given features and no labels.
-   * @param features The features of the CRFDatum
-   */
-  public CRFDatum(List<FEAT> features) {
-    this.features = features;
-  }
-
-  /**
-   * Returns the collection that this BasicDatum was constructed with.
-   *
-   * @return the collection that this BasicDatum was constructed with.
-   */
-  public List<FEAT> asFeatures() {
-    return features;
-  }
-
-  /**
-   * Returns the label for this Datum, or null if none have been set.
-   * @return The label for this Datum, or null if none have been set.
-   */
-
-  public LAB label() {
-    return label;
-  }
-
-  /**
-   * Removes all currently assigned Labels for this Datum then adds the
-   * given Label.
-   * Calling <tt>setLabel(null)</tt> effectively clears all labels.
-   * @param label New label for CRFDatum
-   */
-  public void setLabel(LAB label) {
-    this.label = label;
-  }
-
-  /**
-   * Returns a String representation of this BasicDatum (lists features and labels).
-   */
-  @Override
-  public String toString() {
-    StringBuilder sb = new StringBuilder("CRFDatum[\n");
-    sb.append("    label=").append(label).append('\n');
-    for (int i = 0, sz = features.size(); i < sz; i++) {
-      sb.append("    features(").append(i).append("):").append(features.get(i)).append('\n');
-    }
-    sb.append(']');
-    return sb.toString();
-  }
-
-
-  /**
-   * Returns whether the given Datum contains the same features as this Datum.
-   * Doesn't check the labels, should we change this?
-   *
-   * @param o The object to test equality with
-   * @return Whether it is equal to this CRFDatum in terms of features
-   */
-  @Override
-  public boolean equals(Object o) {
-    if (!(o instanceof Datum)) {
-      return (false);
-    }
-
-    Datum d = (Datum) o;
-    return features.equals(d.asFeatures());
-  }
-
-  @Override
-  public int hashCode() {
-    return features.hashCode();
-  }
-
-  private static final long serialVersionUID = -8345554365027671190L;
-
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFFeatureExporter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFFeatureExporter.java
deleted file mode 100644
index 43849fd..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFFeatureExporter.java
+++ /dev/null
@@ -1,176 +0,0 @@
-package edu.stanford.nlp.ie.crf;
-
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.ling.CoreAnnotations;
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.StringUtils;
-
-import java.io.IOException;
-import java.io.PrintWriter;
-import java.util.Collection;
-import java.util.Collections;
-import java.util.List;
-import java.util.Properties;
-
-/**
- * Exports CRF features for use with other programs
- * - Usage: CRFFeatureExporter -prop <crfClassiferPropFile> -trainFile <input> -exportFeatures <output>
- * - Output file is automatically gzipped/b2zipped if ending in gz/bz2
- * - bzip2 requires that bzip2 is availaible via command line
- * - Currently exports features in a format that can be read by a modified crfsgd
- *   (crfsgd assumes features are gzipped)
- * TODO: Support other formats (like crfsuite)
- * @author Angel Chang
- */
-public class CRFFeatureExporter<IN extends CoreMap> {
-  private char delimiter = '\t';
-  private static String eol = System.getProperty("line.separator");
-  private CRFClassifier<IN> classifier;
-
-  public CRFFeatureExporter(CRFClassifier<IN> classifier)
-  {
-    this.classifier = classifier;
-  }
-
-  /**
-   * Prefix features with U- (for unigram) features
-   * or B- (for bigram) features
-   * @param feat String representing the feature
-   * @return new prefixed feature string
-   */
-  private String ubPrefixFeatureString(String feat)
-  {
-    if (feat.endsWith("|C")) {
-      return "U-" + feat;
-    } else if (feat.endsWith("|CpC")) {
-      return "B-" + feat;
-    } else {
-      return feat;
-    }
-  }
-
-  /**
-   * Constructs a big string representing the input list of CoreLabel,
-   *  with one line per token using the following format
-   * word label feat1 feat2 ...
-   *  (where each space is actually a tab)
-   * Assume that CoreLabel has both TextAnnotation and AnswerAnnotation
-   * @param document List of CoreLabel
-   *        (does not have to represent a "document", just a sequence of text,
-   *         like a sentence or a paragraph)
-   * @return String representation of features
-   */
-  private String getFeatureString(List<IN> document) {
-     int docSize = document.size();
-     if (classifier.flags.useReverse) {
-      Collections.reverse(document);
-    }
-
-    StringBuilder sb = new StringBuilder();
-    for (int j = 0; j < docSize; j++) {
-      IN token = document.get(j);
-      sb.append(token.get(CoreAnnotations.TextAnnotation.class));
-      sb.append(delimiter);
-      sb.append(token.get(CoreAnnotations.AnswerAnnotation.class));
-
-      CRFDatum d = classifier.makeDatum(document, j, classifier.featureFactory);
-
-      List features = d.asFeatures();
-      for (int k = 0, fSize = features.size(); k < fSize; k++) {
-        Collection<String> cliqueFeatures = (Collection<String>) features.get(k);
-        for (String feat: cliqueFeatures) {
-          feat = ubPrefixFeatureString(feat);
-          sb.append(delimiter);
-          sb.append(feat);
-        }
-      }
-      sb.append(eol);
-    }
-    if (classifier.flags.useReverse) {
-      Collections.reverse(document);
-    }
-    return sb.toString();
-  }
-
-  /**
-   * Output features that have already been converted into features
-   *  (using documentToDataAndLabels) in format suitable for CRFSuite
-   * Format is with one line per token using the following format
-   * label feat1 feat2 ...
-   *  (where each space is actually a tab)
-   * Each document is separated by an empty line
-   * @param exportFile file to export the features to
-   * @param docsData array of document features
-   * @param labels correct labels indexed by document, and position within document
-   */
-  public void printFeatures(String exportFile, int[][][][] docsData, int[][] labels)  {
-    try {
-      PrintWriter pw = IOUtils.getPrintWriter(exportFile);
-      for (int i = 0; i < docsData.length; i++) {
-        for (int j = 0; j < docsData[i].length; j++) {
-          StringBuilder sb = new StringBuilder();
-          int label = labels[i][j];
-          sb.append(classifier.classIndex.get(label));
-          for (int k = 0; k < docsData[i][j].length; k++) {
-            for (int m = 0; m < docsData[i][j][k].length; m++) {
-              String feat = classifier.featureIndex.get(docsData[i][j][k][m]);
-              feat = ubPrefixFeatureString(feat);
-              sb.append(delimiter);
-              sb.append(feat);
-            }
-          }
-          pw.println(sb.toString());
-        }
-        pw.println();
-      }
-      pw.close();
-    } catch (IOException ex) {
-      throw new RuntimeException(ex);
-    }
-  }
-
-  /**
-   * Output features from a collection of documents to a file
-   * Format is with one line per token using the following format
-   * word label feat1 feat2 ...
-   *  (where each space is actually a tab)
-   * Each document is separated by an empty line
-   * This format is suitable for modified crfsgd
-   * @param exportFile file to export the features to
-   * @param documents input collection of documents
-   */
-  public void printFeatures(String exportFile, Collection<List<IN>> documents) {
-    try {
-      PrintWriter pw = IOUtils.getPrintWriter(exportFile);
-      for (List<IN> doc:documents) {
-        String str = getFeatureString(doc);
-        pw.println(str);
-      }
-      pw.close();
-    } catch (IOException ex) {
-      throw new RuntimeException(ex);
-    }
-  }
-
-  public static void main(String[] args) throws Exception {
-    StringUtils.printErrInvocationString("CRFFeatureExporter", args);
-    Properties props = StringUtils.argsToProperties(args);
-    CRFClassifier crf = new CRFClassifier(props);
-    String inputFile = crf.flags.trainFile;
-    if (inputFile == null) {
-      System.err.println("Please provide input file using -trainFile");
-      System.exit(-1);
-    }
-    String outputFile = crf.flags.exportFeatures;
-    if (outputFile == null) {
-      System.err.println("Please provide output file using -exportFeatures");
-      System.exit(-1);
-    }
-    CRFFeatureExporter featureExporter = new CRFFeatureExporter(crf);
-    Collection<List<CoreLabel>> docs = 
-      crf.makeObjectBankFromFile(inputFile, crf.makeReaderAndWriter());
-    crf.makeAnswerArraysAndTagIndex(docs);
-    featureExporter.printFeatures(outputFile, docs);
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFLabel.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFLabel.java
deleted file mode 100644
index 9aa5ed6..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFLabel.java
+++ /dev/null
@@ -1,91 +0,0 @@
-package edu.stanford.nlp.ie.crf;
-
-import edu.stanford.nlp.util.Index;
-
-import java.io.Serializable;
-import java.util.ArrayList;
-import java.util.List;
-
-
-/**
- * @author Jenny Finkel
- */
-
-public class CRFLabel implements Serializable {
-
-  /**
-   * 
-   */
-  private static final long serialVersionUID = 7403010868396790276L;
-  private int[] label;
-  int hashCode = -1;
-
-  public static int maxNumClasses = 10;
-
-  public CRFLabel(int[] label) {
-    this.label = label;
-  }
-
-  @Override
-  public boolean equals(Object o) {
-    if (!(o instanceof CRFLabel)) {
-      return false;
-    }
-    CRFLabel other = (CRFLabel) o;
-
-    if (other.label.length != label.length) {
-      return false;
-    }
-    for (int i = 0; i < label.length; i++) {
-      if (label[i] != other.label[i]) {
-        return false;
-      }
-    }
-
-    return true;
-  }
-
-  public CRFLabel getSmallerLabel(int size) {
-    int[] newLabel = new int[size];
-    System.arraycopy(label, label.length - size, newLabel, 0, size);
-    return new CRFLabel(newLabel);
-  }
-
-  public CRFLabel getOneSmallerLabel() {
-    return getSmallerLabel(label.length - 1);
-  }
-
-  public int[] getLabel() {
-    return label;
-  }
-
-  public String toString(Index classIndex) {
-    List l = new ArrayList();
-    for (int i = 0; i < label.length; i++) {
-      l.add(classIndex.get(label[i]));
-    }
-    return l.toString();
-  }
-
-  @Override
-  public String toString() {
-    List<Integer> l = new ArrayList<Integer>();
-    for (int i = 0; i < label.length; i++) {
-      l.add(Integer.valueOf(label[i]));
-    }
-    return l.toString();
-  }
-
-  @Override
-  public int hashCode() {
-    if (hashCode < 0) {
-      hashCode = 0;
-      for (int i = 0; i < label.length; i++) {
-        hashCode *= maxNumClasses;
-        hashCode += label[i];
-      }
-    }
-    return hashCode;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFLogConditionalObjectiveFloatFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFLogConditionalObjectiveFloatFunction.java
deleted file mode 100644
index b1cd27d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFLogConditionalObjectiveFloatFunction.java
+++ /dev/null
@@ -1,604 +0,0 @@
-package edu.stanford.nlp.ie.crf;
-
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction;
-import edu.stanford.nlp.util.Index;
-
-import java.util.Arrays;
-
-
-/**
- * @author Jenny Finkel
- */
-
-public class CRFLogConditionalObjectiveFloatFunction extends AbstractCachingDiffFloatFunction {
-
-  public static final int NO_PRIOR = 0;
-  public static final int QUADRATIC_PRIOR = 1;
-  /* Use a Huber robust regression penalty (L1 except very near 0) not L2 */
-  public static final int HUBER_PRIOR = 2;
-  public static final int QUARTIC_PRIOR = 3;
-
-  protected int prior;
-  protected float sigma;
-  protected float epsilon;
-
-  Index[] labelIndices;
-  Index classIndex;
-  Index featureIndex;
-  float[][] Ehat; // empirical counts of all the features [feature][class]
-  int window;
-  int numClasses;
-  int[] map;
-  int[][][][] data;
-  int[][] labels;
-  int domainDimension = -1;
-
-  String crfType = "maxent";
-  String backgroundSymbol;
-
-  public static boolean VERBOSE = false;
-
-  CRFLogConditionalObjectiveFloatFunction(int[][][][] data, int[][] labels, Index featureIndex, int window, Index classIndex, Index[] labelIndices, int[] map, String backgroundSymbol) {
-    this(data, labels, featureIndex, window, classIndex, labelIndices, map, QUADRATIC_PRIOR, backgroundSymbol);
-  }
-
-  CRFLogConditionalObjectiveFloatFunction(int[][][][] data, int[][] labels, Index featureIndex, int window, Index classIndex, Index[] labelIndices, int[] map, String backgroundSymbol, double sigma) {
-    this(data, labels, featureIndex, window, classIndex, labelIndices, map, QUADRATIC_PRIOR, backgroundSymbol, sigma);
-  }
-
-  CRFLogConditionalObjectiveFloatFunction(int[][][][] data, int[][] labels, Index featureIndex, int window, Index classIndex, Index[] labelIndices, int[] map, int prior, String backgroundSymbol) {
-    this(data, labels, featureIndex, window, classIndex, labelIndices, map, prior, backgroundSymbol, 1.0f);
-  }
-
-  CRFLogConditionalObjectiveFloatFunction(int[][][][] data, int[][] labels, Index featureIndex, int window, Index classIndex, Index[] labelIndices, int[] map, int prior, String backgroundSymbol, double sigma) {
-    this.featureIndex = featureIndex;
-    this.window = window;
-    this.classIndex = classIndex;
-    this.numClasses = classIndex.size();
-    this.labelIndices = labelIndices;
-    this.map = map;
-    this.data = data;
-    this.labels = labels;
-    this.prior = prior;
-    this.backgroundSymbol = backgroundSymbol;
-    this.sigma = (float) sigma;
-    empiricalCounts(data, labels);
-  }
-
-  @Override
-  public int domainDimension() {
-    if (domainDimension < 0) {
-      domainDimension = 0;
-      for (int i = 0; i < map.length; i++) {
-        domainDimension += labelIndices[map[i]].size();
-      }
-    }
-    return domainDimension;
-  }
-
-  public float[][] to2D(float[] weights) {
-    float[][] newWeights = new float[map.length][];
-    int index = 0;
-    for (int i = 0; i < map.length; i++) {
-      newWeights[i] = new float[labelIndices[map[i]].size()];
-      System.arraycopy(weights, index, newWeights[i], 0, labelIndices[map[i]].size());
-      index += labelIndices[map[i]].size();
-    }
-    return newWeights;
-  }
-
-  public float[] to1D(float[][] weights) {
-    float[] newWeights = new float[domainDimension()];
-    int index = 0;
-    for (int i = 0; i < weights.length; i++) {
-      System.arraycopy(weights[i], 0, newWeights, index, weights[i].length);
-      index += weights[i].length;
-    }
-    return newWeights;
-  }
-
-  public float[][] empty2D() {
-    float[][] d = new float[map.length][];
-    int index = 0;
-    for (int i = 0; i < map.length; i++) {
-      d[i] = new float[labelIndices[map[i]].size()];
-      Arrays.fill(d[i], 0);
-      index += labelIndices[map[i]].size();
-    }
-    return d;
-  }
-
-  private void empiricalCounts(int[][][][] data, int[][] labels) {
-    Ehat = empty2D();
-
-    for (int m = 0; m < data.length; m++) {
-      int[][][] dataDoc = data[m];
-      int[] labelsDoc = labels[m];
-      int[] label = new int[window];
-      //Arrays.fill(label, classIndex.indexOf("O"));
-      Arrays.fill(label, classIndex.indexOf(backgroundSymbol));
-      for (int i = 0; i < dataDoc.length; i++) {
-        System.arraycopy(label, 1, label, 0, window - 1);
-        label[window - 1] = labelsDoc[i];
-        for (int j = 0; j < dataDoc[i].length; j++) {
-          int[] cliqueLabel = new int[j + 1];
-          System.arraycopy(label, window - 1 - j, cliqueLabel, 0, j + 1);
-          CRFLabel crfLabel = new CRFLabel(cliqueLabel);
-          int labelIndex = labelIndices[j].indexOf(crfLabel);
-          //System.err.println(crfLabel + " " + labelIndex);
-          for (int k = 0; k < dataDoc[i][j].length; k++) {
-            Ehat[dataDoc[i][j][k]][labelIndex]++;
-          }
-        }
-      }
-    }
-  }
-
-  public static FloatFactorTable getFloatFactorTable(float[][] weights, int[][] data, Index[] labelIndices, int numClasses) {
-
-    FloatFactorTable factorTable = null;
-
-    for (int j = 0; j < labelIndices.length; j++) {
-      Index labelIndex = labelIndices[j];
-      FloatFactorTable ft = new FloatFactorTable(numClasses, j + 1);
-	    
-      // ...and each possible labeling for that clique
-      for (int k = 0; k < labelIndex.size(); k++) {
-        int[] label = ((CRFLabel) labelIndex.get(k)).getLabel();
-        float weight = 0.0f;
-        for (int m = 0; m < data[j].length; m++) {
-          //System.err.println("**"+weights[data[j][m]][k]);	    
-          weight += weights[data[j][m]][k];
-        }
-        ft.setValue(label, weight);
-        //System.err.println(">>"+ft);	    
-      }
-      //System.err.println("::"+ft);	    
-      if (j > 0) {
-        ft.multiplyInEnd(factorTable);
-      }
-      //System.err.println("::"+ft);
-      factorTable = ft;
-
-    }
-
-    return factorTable;
-
-  }
-
-
-
-  public static FloatFactorTable[] getCalibratedCliqueTree(float[][] weights, int[][][] data, Index[] labelIndices, int numClasses) {
-
-    //       for (int i = 0; i < weights.length; i++) {
-    //         for (int j = 0; j < weights[i].length; j++) {
-    //           System.err.println(i+" "+j+": "+weights[i][j]);
-    //         }
-    //       }
-
-    //System.err.println("calibrating clique tree");
-
-    FloatFactorTable[] factorTables = new FloatFactorTable[data.length];
-    FloatFactorTable[] messages = new FloatFactorTable[data.length - 1];
-
-    for (int i = 0; i < data.length; i++) {
-
-      factorTables[i] = getFloatFactorTable(weights, data[i], labelIndices, numClasses);
-      if (VERBOSE) {
-        System.err.println(i + ": " + factorTables[i]);
-      }
-
-      if (i > 0) {
-        messages[i - 1] = factorTables[i - 1].sumOutFront();
-        if (VERBOSE) {
-          System.err.println(messages[i - 1]);
-        }
-        factorTables[i].multiplyInFront(messages[i - 1]);
-        if (VERBOSE) {
-          System.err.println(factorTables[i]);
-          if (i == data.length - 1) {
-            System.err.println(i + ": " + factorTables[i].toProbString());
-          }
-        }
-      }
-    }
-
-    for (int i = factorTables.length - 2; i >= 0; i--) {
-
-      FloatFactorTable summedOut = factorTables[i + 1].sumOutEnd();
-      if (VERBOSE) {
-        System.err.println((i + 1) + "-->" + i + ": " + summedOut);
-      }
-      summedOut.divideBy(messages[i]);
-      if (VERBOSE) {
-        System.err.println((i + 1) + "-->" + i + ": " + summedOut);
-      }
-      factorTables[i].multiplyInEnd(summedOut);
-      if (VERBOSE) {
-        System.err.println(i + ": " + factorTables[i]);
-        System.err.println(i + ": " + factorTables[i].toProbString());
-      }
-
-
-    }
-
-    return factorTables;
-  }
-
-  @Override
-  public void calculate(float[] x) {
-
-    if (crfType.equalsIgnoreCase("weird")) {
-      calculateWeird(x);
-      return;
-    }
-
-    float[][] weights = to2D(x);
-    float prob = 0;
-
-    float[][] E = empty2D();
-
-    for (int m = 0; m < data.length; m++) {
-
-      FloatFactorTable[] factorTables = getCalibratedCliqueTree(weights, data[m], labelIndices, numClasses);
-      //             System.err.println("calibrated:");
-      //             for (int i = 0; i < factorTables.length; i++) {
-      //               System.out.println(factorTables[i]);
-      //               System.out.println("+++++++++++++++++++++++++++++");
-
-      //             }
-      //             System.exit(0);
-      float z = factorTables[0].totalMass();
-
-      int[] given = new int[window - 1];
-      Arrays.fill(given, classIndex.indexOf(backgroundSymbol));
-      for (int i = 0; i < data[m].length; i++) {
-        float p = factorTables[i].conditionalLogProb(given, labels[m][i]);
-        if (VERBOSE) {
-          System.err.println("P(" + labels[m][i] + "|" + Arrays.toString(given) + ")=" + p);
-        }
-        prob += p;
-        System.arraycopy(given, 1, given, 0, given.length - 1);
-        given[given.length - 1] = labels[m][i];
-      }
-
-      // get predicted count
-      for (int i = 0; i < data[m].length; i++) {
-        // go through each clique...
-        for (int j = 0; j < data[m][i].length; j++) {
-          Index labelIndex = labelIndices[j];
-          // ...and each possible labeling for that clique
-          for (int k = 0; k < labelIndex.size(); k++) {
-            int[] label = ((CRFLabel) labelIndex.get(k)).getLabel();
-
-            // float p = Math.pow(Math.E, factorTables[i].logProbEnd(label));
-            float p = (float) Math.exp(factorTables[i].unnormalizedLogProbEnd(label) - z);
-            for (int n = 0; n < data[m][i][j].length; n++) {
-              E[data[m][i][j][n]][k] += p;
-            }
-          }
-        }
-      }
-    }
-
-    if (Float.isNaN(prob)) {
-      System.exit(0);
-    }
-    value = -prob;
-
-    // compute the partial derivative for each feature
-    int index = 0;
-    for (int i = 0; i < E.length; i++) {
-      for (int j = 0; j < E[i].length; j++) {
-        derivative[index++] = (E[i][j] - Ehat[i][j]);
-        if (VERBOSE) {
-          System.err.println("deriv(" + i + "," + j + ") = " + E[i][j] + " - " + Ehat[i][j] + " = " + derivative[index - 1]);
-        }
-      }
-    }
-
-        
-    // priors
-    if (prior == QUADRATIC_PRIOR) {
-      float sigmaSq = sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        float k = 1.0f;
-        float w = x[i];
-        value += k * w * w / 2.0 / sigmaSq;
-        derivative[i] += k * w / sigmaSq;
-      }
-    } else if (prior == HUBER_PRIOR) {
-      float sigmaSq = sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        float w = x[i];
-        float wabs = Math.abs(w);
-        if (wabs < epsilon) {
-          value += w * w / 2.0 / epsilon / sigmaSq;
-          derivative[i] += w / epsilon / sigmaSq;
-        } else {
-          value += (wabs - epsilon / 2) / sigmaSq;
-          derivative[i] += ((w < 0.0) ? -1.0 : 1.0) / sigmaSq;
-        }
-      }
-    } else if (prior == QUARTIC_PRIOR) {
-      float sigmaQu = sigma * sigma * sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        float k = 1.0f;
-        float w = x[i];
-        value += k * w * w * w * w / 2.0 / sigmaQu;
-        derivative[i] += k * w / sigmaQu;
-      }
-    }
-
-
-  }
-
-  public void calculateWeird1(float[] x) {
-
-    float[][] weights = to2D(x);
-    float[][] E = empty2D();
-
-    value = 0.0f;
-    Arrays.fill(derivative, 0.0f);
-    float[][] sums = new float[labelIndices.length][];
-    float[][] probs = new float[labelIndices.length][];
-    float[][] counts = new float[labelIndices.length][];
-
-    for (int i = 0; i < sums.length; i++) {
-      int size = labelIndices[i].size();
-      sums[i] = new float[size];
-      probs[i] = new float[size];
-      counts[i] = new float[size];
-      Arrays.fill(counts[i], 0.0f);
-    }
-
-    for (int d = 0; d < data.length; d++) {
-      int[] llabels = labels[d];
-      for (int e = 0; e < data[d].length; e++) {
-        int[][] ddata = this.data[d][e];
-
-        for (int cl = 0; cl < ddata.length; cl++) {
-          int[] features = ddata[cl];
-          // activation
-          Arrays.fill(sums[cl], 0.0f);
-          int numClasses = labelIndices[cl].size();
-          for (int c = 0; c < numClasses; c++) {
-            for (int f = 0; f < features.length; f++) {
-              sums[cl][c] += weights[features[f]][c];
-            }
-          }
-        }
-
-
-        for (int cl = 0; cl < ddata.length; cl++) {
-
-          int[] label = new int[cl + 1];
-          //Arrays.fill(label, classIndex.indexOf("O"));
-          Arrays.fill(label, classIndex.indexOf(backgroundSymbol));
-          int index1 = label.length - 1;
-          for (int pos = e; pos >= 0 && index1 >= 0; pos--) {
-            //System.err.println(index1+" "+pos);
-            label[index1--] = llabels[pos];
-          }
-          CRFLabel crfLabel = new CRFLabel(label);
-          int labelIndex = labelIndices[cl].indexOf(crfLabel);
-
-          float total = ArrayMath.logSum(sums[cl]);
-          // 		    int[] features = ddata[cl];
-          int numClasses = labelIndices[cl].size();
-          for (int c = 0; c < numClasses; c++) {
-            probs[cl][c] = (float) Math.exp(sums[cl][c] - total);
-          }
-          // 		    for (int f=0; f<features.length; f++) {
-          // 			for (int c=0; c<numClasses; c++) {
-          // 			    //probs[cl][c] = Math.exp(sums[cl][c]-total);
-          // 			    derivative[index] += probs[cl][c];
-          // 			    if (c == labelIndex) {
-          // 				derivative[index]--;
-          // 			    }
-          // 			    index++;
-          // 			}			
-          // 		    }
-		    
-
-          value -= sums[cl][labelIndex] - total;
-
-          // 		    // observed
-          // 		    for (int f=0; f<features.length; f++) {
-          // 		        //int i = indexOf(features[f], labels[d]);
-          // 		        derivative[index+labelIndex] -= 1.0;
-          // 		    }
-
-        }
-		
-        // go through each clique...
-        for (int j = 0; j < data[d][e].length; j++) {
-          Index labelIndex = labelIndices[j];
-		    
-          // ...and each possible labeling for that clique
-          for (int k = 0; k < labelIndex.size(); k++) {
-            int[] label = ((CRFLabel) labelIndex.get(k)).getLabel();
-			
-            // float p = Math.pow(Math.E, factorTables[i].logProbEnd(label));
-            float p = probs[j][k];
-            for (int n = 0; n < data[d][e][j].length; n++) {
-              E[data[d][e][j][n]][k] += p;
-            }
-          }
-        }
-      }
-
-    }
-   
-
-    // compute the partial derivative for each feature
-    int index = 0;
-    for (int i = 0; i < E.length; i++) {
-      for (int j = 0; j < E[i].length; j++) {
-        derivative[index++] = (E[i][j] - Ehat[i][j]);
-      }
-    }
-
-    // observed
-    // 	int index = 0;
-    // 	for (int i = 0; i < Ehat.length; i++) {
-    // 	    for (int j = 0; j < Ehat[i].length; j++) {
-    // 		derivative[index++] -= Ehat[i][j];
-    // 	    }
-    // 	}
-
-    // priors
-    if (prior == QUADRATIC_PRIOR) {
-      float sigmaSq = sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        float k = 1.0f;
-        float w = x[i];
-        value += k * w * w / 2.0 / sigmaSq;
-        derivative[i] += k * w / sigmaSq;
-      }
-    } else if (prior == HUBER_PRIOR) {
-      float sigmaSq = sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        float w = x[i];
-        float wabs = Math.abs(w);
-        if (wabs < epsilon) {
-          value += w * w / 2.0 / epsilon / sigmaSq;
-          derivative[i] += w / epsilon / sigmaSq;
-        } else {
-          value += (wabs - epsilon / 2) / sigmaSq;
-          derivative[i] += ((w < 0.0) ? -1.0 : 1.0) / sigmaSq;
-        }
-      }
-    } else if (prior == QUARTIC_PRIOR) {
-      float sigmaQu = sigma * sigma * sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        float k = 1.0f;
-        float w = x[i];
-        value += k * w * w * w * w / 2.0 / sigmaQu;
-        derivative[i] += k * w / sigmaQu;
-      }
-    }
-  }
-
-  public void calculateWeird(float[] x) {
-
-    float[][] weights = to2D(x);
-    float[][] E = empty2D();
-
-    value = 0.0f;
-    Arrays.fill(derivative, 0.0f);
-
-    int size = labelIndices[labelIndices.length - 1].size();
-
-    float[] sums = new float[size];
-    float[] probs = new float[size];
-
-    Index labelIndex = labelIndices[labelIndices.length - 1];
-
-    for (int d = 0; d < data.length; d++) {
-      int[] llabels = labels[d];
-
-      int[] label = new int[window];
-      //Arrays.fill(label, classIndex.indexOf("O"));
-      Arrays.fill(label, classIndex.indexOf(backgroundSymbol));
-
-      for (int e = 0; e < data[d].length; e++) {
-
-        Arrays.fill(sums, 0.0f);
-
-        System.arraycopy(label, 1, label, 0, window - 1);
-        label[window - 1] = llabels[e];
-        CRFLabel crfLabel = new CRFLabel(label);
-        int maxCliqueLabelIndex = labelIndex.indexOf(crfLabel);
-
-        int[][] ddata = this.data[d][e];
-
-        //Iterator labelIter = labelIndices[labelIndices.length-1].iterator();
-        //while (labelIter.hasNext()) {
-
-        for (int i = 0; i < labelIndex.size(); i++) {
-          CRFLabel c = (CRFLabel) labelIndex.get(i);
-
-          for (int cl = 0; cl < ddata.length; cl++) {
-
-            CRFLabel cliqueLabel = c.getSmallerLabel(cl + 1);
-            int clIndex = labelIndices[cl].indexOf(cliqueLabel);
-
-            int[] features = ddata[cl];
-            for (int f = 0; f < features.length; f++) {
-              sums[i] += weights[features[f]][clIndex];
-            }
-          }
-        }
-
-        float total = ArrayMath.logSum(sums);
-        for (int i = 0; i < probs.length; i++) {
-          probs[i] = (float) Math.exp(sums[i] - total);
-        }
-        value -= sums[maxCliqueLabelIndex] - total;
-
-        for (int i = 0; i < labelIndex.size(); i++) {
-          CRFLabel c = (CRFLabel) labelIndex.get(i);
-
-          for (int cl = 0; cl < ddata.length; cl++) {
-
-            CRFLabel cliqueLabel = c.getSmallerLabel(cl + 1);
-            int clIndex = labelIndices[cl].indexOf(cliqueLabel);
-            int[] features = ddata[cl];
-
-            for (int f = 0; f < features.length; f++) {
-              E[features[f]][clIndex] += probs[i];
-              if (i == maxCliqueLabelIndex) {
-                E[features[f]][clIndex] -= 1.0f;
-              }
-              //sums[i] += weights[features[f]][cl];
-            }
-          }
-        }
-      }
-    }
-  
-
-    // compute the partial derivative for each feature
-    int index = 0;
-    for (int i = 0; i < E.length; i++) {
-      for (int j = 0; j < E[i].length; j++) {
-        //derivative[index++] = (E[i][j] - Ehat[i][j]);
-        derivative[index++] = E[i][j];
-      }
-    }
-
-    // priors
-    if (prior == QUADRATIC_PRIOR) {
-      float sigmaSq = sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        float k = 1.0f;
-        float w = x[i];
-        value += k * w * w / 2.0 / sigmaSq;
-        derivative[i] += k * w / sigmaSq;
-      }
-    } else if (prior == HUBER_PRIOR) {
-      float sigmaSq = sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        float w = x[i];
-        float wabs = Math.abs(w);
-        if (wabs < epsilon) {
-          value += w * w / 2.0 / epsilon / sigmaSq;
-          derivative[i] += w / epsilon / sigmaSq;
-        } else {
-          value += (wabs - epsilon / 2) / sigmaSq;
-          derivative[i] += ((w < 0.0f ? -1.0f : 1.0f) / sigmaSq);
-        }
-      }
-    } else if (prior == QUARTIC_PRIOR) {
-      float sigmaQu = sigma * sigma * sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        float k = 1.0f;
-        float w = x[i];
-        value += k * w * w * w * w / 2.0 / sigmaQu;
-        derivative[i] += k * w / sigmaQu;
-      }
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFLogConditionalObjectiveFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFLogConditionalObjectiveFunction.java
deleted file mode 100644
index ce13807..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/CRFLogConditionalObjectiveFunction.java
+++ /dev/null
@@ -1,856 +0,0 @@
-package edu.stanford.nlp.ie.crf;
-
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction;
-import edu.stanford.nlp.util.Index;
-
-import java.util.Arrays;
-
-/**
- * @author Jenny Finkel
- */
-
-public class CRFLogConditionalObjectiveFunction extends AbstractStochasticCachingDiffUpdateFunction {
-
-  public static final int NO_PRIOR = 0;
-  public static final int QUADRATIC_PRIOR = 1;
-  /* Use a Huber robust regression penalty (L1 except very near 0) not L2 */
-  public static final int HUBER_PRIOR = 2;
-  public static final int QUARTIC_PRIOR = 3;
-
-  protected int prior;
-  protected double sigma;
-  protected double epsilon;
-
-  Index<CRFLabel>[] labelIndices;
-  Index classIndex;  // really assumed to be Index<String.
-  Index featureIndex;
-  double[][] Ehat; // empirical counts of all the features [feature][class]
-  int window;
-  int numClasses;
-  int[] map;
-  int[][][][] data;  // data[docIndex][tokenIndex][][]
-  int[][] labels;    // labels[docIndex][tokenIndex]
-  int domainDimension = -1;
-
-  int[][] weightIndices;
-
-  String crfType = "maxent";
-  String backgroundSymbol;
-
-  public static boolean VERBOSE = false;
-
-  public static int getPriorType(String priorTypeStr)
-  {
-    if (priorTypeStr == null) return QUADRATIC_PRIOR;  // default
-    if ("QUADRATIC".equalsIgnoreCase(priorTypeStr)) {
-      return QUADRATIC_PRIOR;
-    } else if ("HUBER".equalsIgnoreCase(priorTypeStr)) {
-      return HUBER_PRIOR;
-    } else if ("QUARTIC".equalsIgnoreCase(priorTypeStr)) {
-      return QUARTIC_PRIOR;
-    } else if ("NONE".equalsIgnoreCase(priorTypeStr)) {
-      return NO_PRIOR;
-    } else {
-      throw new IllegalArgumentException("Unknown prior type: " + priorTypeStr);
-    }
-  }
-
-  CRFLogConditionalObjectiveFunction(int[][][][] data, int[][] labels, Index featureIndex, int window, Index classIndex, Index[] labelIndices, int[] map, String backgroundSymbol) {
-    this(data, labels, featureIndex, window, classIndex, labelIndices, map, QUADRATIC_PRIOR, backgroundSymbol);
-  }
-
-  CRFLogConditionalObjectiveFunction(int[][][][] data, int[][] labels, Index featureIndex, int window, Index classIndex, Index[] labelIndices, int[] map, String backgroundSymbol, double sigma) {
-    this(data, labels, featureIndex, window, classIndex, labelIndices, map, QUADRATIC_PRIOR, backgroundSymbol, sigma);
-  }
-
-  CRFLogConditionalObjectiveFunction(int[][][][] data, int[][] labels, Index featureIndex, int window, Index classIndex, Index[] labelIndices, int[] map, int prior, String backgroundSymbol) {
-    this(data, labels, featureIndex, window, classIndex, labelIndices, map, prior, backgroundSymbol, 1.0);
-  }
-
-  CRFLogConditionalObjectiveFunction(int[][][][] data, int[][] labels, Index featureIndex, int window, Index classIndex, Index[] labelIndices, int[] map, int prior, String backgroundSymbol, double sigma) {
-    this.featureIndex = featureIndex;
-    this.window = window;
-    this.classIndex = classIndex;
-    this.numClasses = classIndex.size();
-    this.labelIndices = labelIndices;
-    this.map = map;
-    this.data = data;
-    this.labels = labels;
-    this.prior = prior;
-    this.backgroundSymbol = backgroundSymbol;
-    this.sigma = sigma;
-    empiricalCounts(data, labels);
-  }
-
-  @Override
-  public int domainDimension() {
-    if (domainDimension < 0) {
-      domainDimension = 0;
-      for (int i = 0; i < map.length; i++) {
-        domainDimension += labelIndices[map[i]].size();
-      }
-    }
-    return domainDimension;
-  }
-
-  /**
-   * Takes a double array of weights and creates a 2D array where:
-   *
-   * the first element is the mapped index of featuresIndex
-   * the second element is the index of the of the element
-   *
-   * @return a 2D weight array
-   */
-  public double[][] to2D(double[] weights) {
-    double[][] newWeights = new double[map.length][];
-    int index = 0;
-    for (int i = 0; i < map.length; i++) {
-      newWeights[i] = new double[labelIndices[map[i]].size()];
-      System.arraycopy(weights, index, newWeights[i], 0, labelIndices[map[i]].size());
-      index += labelIndices[map[i]].size();
-    }
-    return newWeights;
-  }
-
-  public double[] to1D(double[][] weights) {
-    double[] newWeights = new double[domainDimension()];
-    int index = 0;
-    for (int i = 0; i < weights.length; i++) {
-      System.arraycopy(weights[i], 0, newWeights, index, weights[i].length);
-      index += weights[i].length;
-    }
-    return newWeights;
-  }
-
-  public int[][] getWeightIndices()
-  {
-    if (weightIndices == null) {
-      weightIndices = new int[map.length][];
-      int index = 0;
-      for (int i = 0; i < map.length; i++) {
-        weightIndices[i] = new int[labelIndices[map[i]].size()];
-        for (int j = 0; j < labelIndices[map[i]].size(); j++) {
-          weightIndices[i][j] = index;
-          index++;
-        }
-      }
-    }
-    return weightIndices;
-  }
-
-  public double[][] empty2D() {
-    double[][] d = new double[map.length][];
-    // int index = 0;
-    for (int i = 0; i < map.length; i++) {
-      d[i] = new double[labelIndices[map[i]].size()];
-      // cdm july 2005: below array initialization isn't necessary: JLS (3rd ed.) 4.12.5
-      // Arrays.fill(d[i], 0.0);
-      // index += labelIndices[map[i]].size();
-    }
-    return d;
-  }
-
-  private void empiricalCounts(int[][][][] data, int[][] labels) {
-    Ehat = empty2D();
-
-    for (int m = 0; m < data.length; m++) {
-      int[][][] docData = data[m];
-      int[] docLabels = labels[m];
-      int[] windowLabels = new int[window];
-      Arrays.fill(windowLabels, classIndex.indexOf(backgroundSymbol));
-      if (docLabels.length>docData.length) { // only true for self-training
-        // fill the windowLabel array with the extra docLabels
-        System.arraycopy(docLabels, 0, windowLabels, 0, windowLabels.length);
-        // shift the docLabels array left
-        int[] newDocLabels = new int[docData.length];
-        System.arraycopy(docLabels, docLabels.length-newDocLabels.length, newDocLabels, 0, newDocLabels.length);
-        docLabels = newDocLabels;
-      }
-      for (int i = 0; i < docData.length; i++) {
-        System.arraycopy(windowLabels, 1, windowLabels, 0, window - 1);
-        windowLabels[window - 1] = docLabels[i];
-        for (int j = 0; j < docData[i].length; j++) {
-          int[] cliqueLabel = new int[j + 1];
-          System.arraycopy(windowLabels, window - 1 - j, cliqueLabel, 0, j + 1);
-          CRFLabel crfLabel = new CRFLabel(cliqueLabel);
-          int labelIndex = labelIndices[j].indexOf(crfLabel);
-          //System.err.println(crfLabel + " " + labelIndex);
-          for (int k = 0; k < docData[i][j].length; k++) {
-            Ehat[docData[i][j][k]][labelIndex]++;
-          }
-        }
-      }
-    }
-  }
-
-  // todo [cdm]: Below data[m] --> docData
-  /**
-   * Calculates both value and partial derivatives at the point x, and save them internally.
-   */
-  @Override
-  public void calculate(double[] x) {
-
-    double prob = 0.0; // the log prob of the sequence given the model, which is the negation of value at this point
-    double[][] weights = to2D(x);
-
-    // the expectations over counts
-    // first index is feature index, second index is of possible labeling
-    double[][] E = empty2D();
-
-    // iterate over all the documents
-    for (int m = 0; m < data.length; m++) {
-      int[][][] docData = data[m];
-      int[] docLabels = labels[m];
-
-      // make a clique tree for this document
-      CRFCliqueTree cliqueTree = CRFCliqueTree.getCalibratedCliqueTree(weights, docData, labelIndices, numClasses, classIndex, backgroundSymbol);
-
-      // compute the log probability of the document given the model with the parameters x
-      int[] given = new int[window - 1];
-      Arrays.fill(given, classIndex.indexOf(backgroundSymbol));
-      if (docLabels.length>docData.length) { // only true for self-training
-        // fill the given array with the extra docLabels
-        System.arraycopy(docLabels, 0, given, 0, given.length);
-        // shift the docLabels array left
-        int[] newDocLabels = new int[docData.length];
-        System.arraycopy(docLabels, docLabels.length-newDocLabels.length, newDocLabels, 0, newDocLabels.length);
-        docLabels = newDocLabels;
-      }
-      // iterate over the positions in this document
-      for (int i = 0; i < docData.length; i++) {
-        int label = docLabels[i];
-        double p = cliqueTree.condLogProbGivenPrevious(i, label, given);
-        if (VERBOSE) {
-          System.err.println("P(" + label + "|" + ArrayMath.toString(given) + ")=" + p);
-        }
-        prob += p;
-        System.arraycopy(given, 1, given, 0, given.length - 1);
-        given[given.length - 1] = label;
-      }
-
-      // compute the expected counts for this document, which we will need to compute the derivative
-      // iterate over the positions in this document
-      for (int i = 0; i < data[m].length; i++) {
-        // for each possible clique at this position
-        for (int j = 0; j < data[m][i].length; j++) {
-          Index<CRFLabel> labelIndex = labelIndices[j];
-          // for each possible labeling for that clique
-          for (int k = 0; k < labelIndex.size(); k++) {
-            int[] label = labelIndex.get(k).getLabel();
-            double p = cliqueTree.prob(i, label); // probability of these labels occurring in this clique with these features
-            for (int n = 0; n < data[m][i][j].length; n++) {
-              E[data[m][i][j][n]][k] += p;
-            }
-          }
-        }
-      }
-    }
-
-    if (Double.isNaN(prob)) { // shouldn't be the case
-      throw new RuntimeException("Got NaN for prob in CRFLogConditionalObjectiveFunction.calculate()");
-    }
-
-    value = -prob;
-
-    // compute the partial derivative for each feature by comparing expected counts to empirical counts
-    int index = 0;
-    for (int i = 0; i < E.length; i++) {
-      for (int j = 0; j < E[i].length; j++) {
-        derivative[index++] = (E[i][j] - Ehat[i][j]);
-        if (VERBOSE) {
-          System.err.println("deriv(" + i + "," + j + ") = " + E[i][j] + " - " + Ehat[i][j] + " = " + derivative[index - 1]);
-        }
-      }
-    }
-
-
-    // incorporate priors
-    if (prior == QUADRATIC_PRIOR) {
-      double sigmaSq = sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        double k = 1.0;
-        double w = x[i];
-        value += k * w * w / 2.0 / sigmaSq;
-        derivative[i] += k * w / sigmaSq;
-      }
-    } else if (prior == HUBER_PRIOR) {
-      double sigmaSq = sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        double w = x[i];
-        double wabs = Math.abs(w);
-        if (wabs < epsilon) {
-          value += w * w / 2.0 / epsilon / sigmaSq;
-          derivative[i] += w / epsilon / sigmaSq;
-        } else {
-          value += (wabs - epsilon / 2) / sigmaSq;
-          derivative[i] += ((w < 0.0) ? -1.0 : 1.0) / sigmaSq;
-        }
-      }
-    } else if (prior == QUARTIC_PRIOR) {
-      double sigmaQu = sigma * sigma * sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        double k = 1.0;
-        double w = x[i];
-        value += k * w * w * w * w / 2.0 / sigmaQu;
-        derivative[i] += k * w / sigmaQu;
-      }
-    }
-
-
-  }
-
-  @Override
-  public void calculateStochastic(double[] x, double [] v, int[] batch){
-    calculateStochasticGradientOnly(x,batch);
-  }
-
-  @Override
-  public int dataDimension(){
-    return data.length;
-  }
-
-
-
-  public void calculateStochasticGradientOnly(double[] x, int[] batch) {
-
-    double prob = 0; // the log prob of the sequence given the model, which is the negation of value at this point
-    double[][] weights = to2D(x);
-
-    double batchScale = ((double) batch.length)/((double) this.dataDimension());
-
-    // the expectations over counts
-    // first index is feature index, second index is of possible labeling
-    double[][] E = empty2D();
-
-    // iterate over all the documents
-    for (int m = 0; m < batch.length; m++) {
-      int ind = batch[m];
-      int[][][] docData = data[ind];
-      int[] docLabels = labels[ind];
-
-      // make a clique tree for this document
-      CRFCliqueTree cliqueTree = CRFCliqueTree.getCalibratedCliqueTree(weights, docData, labelIndices, numClasses, classIndex, backgroundSymbol);
-
-      // compute the log probability of the document given the model with the parameters x
-      int[] given = new int[window - 1];
-      Arrays.fill(given, classIndex.indexOf(backgroundSymbol));
-      if (docLabels.length>docData.length) { // only true for self-training
-        // fill the given array with the extra docLabels
-        System.arraycopy(docLabels, 0, given, 0, given.length);
-        // shift the docLabels array left
-        int[] newDocLabels = new int[docData.length];
-        System.arraycopy(docLabels, docLabels.length-newDocLabels.length, newDocLabels, 0, newDocLabels.length);
-        docLabels = newDocLabels;
-      }
-      // iterate over the positions in this document
-      for (int i = 0; i < docData.length; i++) {
-        int label = docLabels[i];
-        double p = cliqueTree.condLogProbGivenPrevious(i, label, given);
-        if (VERBOSE) {
-          System.err.println("P(" + label + "|" + ArrayMath.toString(given) + ")=" + p);
-        }
-        prob += p;
-        System.arraycopy(given, 1, given, 0, given.length - 1);
-        given[given.length - 1] = label;
-      }
-
-      // compute the expected counts for this document, which we will need to compute the derivative
-      // iterate over the positions in this document
-      for (int i = 0; i < data[ind].length; i++) {
-        // for each possible clique at this position
-        for (int j = 0; j < data[ind][i].length; j++) {
-          Index labelIndex = labelIndices[j];
-          // for each possible labeling for that clique
-          for (int k = 0; k < labelIndex.size(); k++) {
-            int[] label = ((CRFLabel) labelIndex.get(k)).getLabel();
-            double p = cliqueTree.prob(i, label); // probability of these labels occurring in this clique with these features
-            for (int n = 0; n < data[ind][i][j].length; n++) {
-              E[data[ind][i][j][n]][k] += p;
-            }
-          }
-        }
-      }
-    }
-
-    if (Double.isNaN(prob)) { // shouldn't be the case
-      throw new RuntimeException("Got NaN for prob in CRFLogConditionalObjectiveFunction.calculate()");
-    }
-
-    value = -prob;
-
-    // compute the partial derivative for each feature by comparing expected counts to empirical counts
-    int index = 0;
-    for (int i = 0; i < E.length; i++) {
-      for (int j = 0; j < E[i].length; j++) {
-        derivative[index++] = (E[i][j] - batchScale*Ehat[i][j]);
-        if (VERBOSE) {
-          System.err.println("deriv(" + i + "," + j + ") = " + E[i][j] + " - " + Ehat[i][j] + " = " + derivative[index - 1]);
-        }
-      }
-    }
-
-
-    // incorporate priors
-    if (prior == QUADRATIC_PRIOR) {
-      double sigmaSq = sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        double k = 1.0;
-        double w = x[i];
-        value += batchScale*k * w * w / 2.0 / sigmaSq;
-        derivative[i] += batchScale*k * w / sigmaSq;
-      }
-    } else if (prior == HUBER_PRIOR) {
-      double sigmaSq = sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        double w = x[i];
-        double wabs = Math.abs(w);
-        if (wabs < epsilon) {
-          value += batchScale*w * w / 2.0 / epsilon / sigmaSq;
-          derivative[i] += batchScale*w / epsilon / sigmaSq;
-        } else {
-          value += batchScale*(wabs - epsilon / 2) / sigmaSq;
-          derivative[i] += batchScale*((w < 0.0) ? -1.0 : 1.0) / sigmaSq;
-        }
-      }
-    } else if (prior == QUARTIC_PRIOR) {
-      double sigmaQu = sigma * sigma * sigma * sigma;
-      for (int i = 0; i < x.length; i++) {
-        double k = 1.0;
-        double w = x[i];
-        value += batchScale*k * w * w * w * w / 2.0 / sigmaQu;
-        derivative[i] += batchScale*k * w / sigmaQu;
-      }
-    }
-  }
-
-  /**
-   * Performs stochastic update of weights x (scaled by xscale) based
-   *  on samples indexed by batch
-   * NOTE: This function does not do regularization (regularization is done by minimizer)
-   * @param x - unscaled weights
-   * @param xscale - how much to scale x by when performing calculations
-   * @param batch - indices of which samples to compute function over
-   * @param gscale - how much to scale adjustments to x
-   * @return value of function at specified x (scaled by xscale) for samples
-   */
-  public double calculateStochasticUpdate(double[] x, double xscale, int[] batch, double gscale) {
-    double prob = 0; // the log prob of the sequence given the model, which is the negation of value at this point
-    double[] weights = x;
-    int[][] wis = getWeightIndices();
-
-    // Adjust weight by -gscale*gradient
-    // gradient is expected count - empirical count
-    // so we adjust by + gscale(empirical count - expected count)
-
-    int[] given = new int[window - 1];
-    int[][] docCliqueLabels = new int[window][];
-    for (int j = 0; j < window; j++) {
-      docCliqueLabels[j] = new int[j+1];
-    }
-    // iterate over all the documents
-    for (int m = 0; m < batch.length; m++) {
-      int ind = batch[m];
-      int[][][] docData = data[ind];
-      int[] docLabels = labels[ind];
-
-      // make a clique tree for this document
-      CRFCliqueTree cliqueTree = CRFCliqueTree.getCalibratedCliqueTree(weights, xscale, wis, docData,
-              labelIndices, numClasses, classIndex, backgroundSymbol);
-
-      // compute the log probability of the document given the model with the parameters x
-      Arrays.fill(given, classIndex.indexOf(backgroundSymbol));
-      if (docLabels.length>docData.length) { // only true for self-training
-        // fill the given array with the extra docLabels
-        System.arraycopy(docLabels, 0, given, 0, given.length);
-        // shift the docLabels array left
-        int[] newDocLabels = new int[docData.length];
-        System.arraycopy(docLabels, docLabels.length-newDocLabels.length, newDocLabels, 0, newDocLabels.length);
-        docLabels = newDocLabels;
-      }
-      // iterate over the positions in this document
-      for (int i = 0; i < docData.length; i++) {
-        int label = docLabels[i];
-        double p = cliqueTree.condLogProbGivenPrevious(i, label, given);
-        if (VERBOSE) {
-          System.err.println("P(" + label + "|" + ArrayMath.toString(given) + ")=" + p);
-        }
-        prob += p;
-
-        // Empirical count
-        for (int j = 0; j < data[ind][i].length; j++) {
-          if (j > 0) {
-            System.arraycopy(given, window - j - 1, docCliqueLabels[j], 0, j);
-          }
-          docCliqueLabels[j][j] = label;
-          // TODO: We can eliminate this lookup by saving the correctLabelIndex (or marking it in CRFLabel)
-          CRFLabel crfLabel = new CRFLabel(docCliqueLabels[j]);
-          int correctLabelIndex = labelIndices[j].indexOf(crfLabel);
-          for (int n = 0; n < data[ind][i][j].length; n++) {
-            // Adjust by gscale (empirical count)
-            x[wis[data[ind][i][j][n]][correctLabelIndex]] += gscale;
-          }
-        }
-        // Shift window over
-        System.arraycopy(given, 1, given, 0, given.length - 1);
-        given[given.length - 1] = label;
-      }
-
-      // compute the expected counts for this document, which we will need to compute the derivative
-      // iterate over the positions in this document
-      for (int i = 0; i < data[ind].length; i++) {
-        // for each possible clique at this position
-        for (int j = 0; j < data[ind][i].length; j++) {
-          // Expected count
-          Index labelIndex = labelIndices[j];
-          // for each possible labeling for that clique
-          for (int k = 0; k < labelIndex.size(); k++) {
-            int[] label = ((CRFLabel) labelIndex.get(k)).getLabel();
-            double p = cliqueTree.prob(i, label); // probability of these labels occurring in this clique with these features
-            for (int n = 0; n < data[ind][i][j].length; n++) {
-              // Adjust weight by -p*gscale (expected count scaled)
-              x[wis[docData[i][j][n]][k]] -= p*gscale;
-            }
-          }
-        }
-      }
-    }
-
-    if (Double.isNaN(prob)) { // shouldn't be the case
-      throw new RuntimeException("Got NaN for prob in CRFLogConditionalObjectiveFunction.calculate()");
-    }
-
-    value = -prob;
-    return value;
-  }
-
-  /**
-   * Computes value of function for specified value of x (scaled by xscale)
-   *  only over samples indexed by batch
-   * NOTE: This function does not do regularization (regularization is done by minimizer)
-   * @param x - unscaled weights
-   * @param xscale - how much to scale x by when performing calculations
-   * @param batch - indices of which samples to compute function over
-   * @return value of function at specified x (scaled by xscale) for samples
-   */
-  public double valueAt(double[] x, double xscale, int[] batch) {
-    double prob = 0; // the log prob of the sequence given the model, which is the negation of value at this point
-    double[] weights = x;
-    int[][] wis = getWeightIndices();
-
-    int[] given = new int[window - 1];
-    int[][] docCliqueLabels = new int[window][];
-    for (int j = 0; j < window; j++) {
-      docCliqueLabels[j] = new int[j+1];
-    }
-    // iterate over all the documents
-    for (int m = 0; m < batch.length; m++) {
-      int ind = batch[m];
-      int[][][] docData = data[ind];
-      int[] docLabels = labels[ind];
-
-      // make a clique tree for this document
-      CRFCliqueTree cliqueTree = CRFCliqueTree.getCalibratedCliqueTree(weights, xscale, wis, docData,
-              labelIndices, numClasses, classIndex, backgroundSymbol);
-
-      // compute the log probability of the document given the model with the parameters x
-      Arrays.fill(given, classIndex.indexOf(backgroundSymbol));
-      if (docLabels.length>docData.length) { // only true for self-training
-        // fill the given array with the extra docLabels
-        System.arraycopy(docLabels, 0, given, 0, given.length);
-        // shift the docLabels array left
-        int[] newDocLabels = new int[docData.length];
-        System.arraycopy(docLabels, docLabels.length-newDocLabels.length, newDocLabels, 0, newDocLabels.length);
-        docLabels = newDocLabels;
-      }
-      // iterate over the positions in this document
-      for (int i = 0; i < docData.length; i++) {
-        int label = docLabels[i];
-        double p = cliqueTree.condLogProbGivenPrevious(i, label, given);
-        if (VERBOSE) {
-          System.err.println("P(" + label + "|" + ArrayMath.toString(given) + ")=" + p);
-        }
-        prob += p;
-
-        // Shift window over
-        System.arraycopy(given, 1, given, 0, given.length - 1);
-        given[given.length - 1] = label;
-      }
-
-    }
-
-    if (Double.isNaN(prob)) { // shouldn't be the case
-      throw new RuntimeException("Got NaN for prob in CRFLogConditionalObjectiveFunction.calculate()");
-    }
-
-    value = -prob;
-    return value;
-  }
-//   public void calculateWeird1(double[] x) {
-
-//     double[][] weights = to2D(x);
-//     double[][] E = empty2D();
-
-//     value = 0.0;
-//     Arrays.fill(derivative, 0.0);
-//     double[][] sums = new double[labelIndices.length][];
-//     double[][] probs = new double[labelIndices.length][];
-//     double[][] counts = new double[labelIndices.length][];
-
-//     for (int i = 0; i < sums.length; i++) {
-//       int size = labelIndices[i].size();
-//       sums[i] = new double[size];
-//       probs[i] = new double[size];
-//       counts[i] = new double[size];
-//       Arrays.fill(counts[i], 0.0);
-//     }
-
-//     for (int d = 0; d < data.length; d++) {
-//       int[] llabels = labels[d];
-//       for (int e = 0; e < data[d].length; e++) {
-//         int[][] ddata = this.data[d][e];
-
-//         for (int cl = 0; cl < ddata.length; cl++) {
-//           int[] features = ddata[cl];
-//           // activation
-//           Arrays.fill(sums[cl], 0.0);
-//           int numClasses = labelIndices[cl].size();
-//           for (int c = 0; c < numClasses; c++) {
-//             for (int f = 0; f < features.length; f++) {
-//               sums[cl][c] += weights[features[f]][c];
-//             }
-//           }
-//         }
-
-
-//         for (int cl = 0; cl < ddata.length; cl++) {
-
-//           int[] label = new int[cl + 1];
-//           //Arrays.fill(label, classIndex.indexOf("O"));
-//           Arrays.fill(label, classIndex.indexOf(backgroundSymbol));
-//           int index1 = label.length - 1;
-//           for (int pos = e; pos >= 0 && index1 >= 0; pos--) {
-//             //System.err.println(index1+" "+pos);
-//             label[index1--] = llabels[pos];
-//           }
-//           CRFLabel crfLabel = new CRFLabel(label);
-//           int labelIndex = labelIndices[cl].indexOf(crfLabel);
-
-//           double total = SloppyMath.logSum(sums[cl]);
-//           //                     int[] features = ddata[cl];
-//           int numClasses = labelIndices[cl].size();
-//           for (int c = 0; c < numClasses; c++) {
-//             probs[cl][c] = Math.exp(sums[cl][c] - total);
-//           }
-//           //                     for (int f=0; f<features.length; f++) {
-//           //                         for (int c=0; c<numClasses; c++) {
-//           //                             //probs[cl][c] = Math.exp(sums[cl][c]-total);
-//           //                             derivative[index] += probs[cl][c];
-//           //                             if (c == labelIndex) {
-//           //                                 derivative[index]--;
-//           //                             }
-//           //                             index++;
-//           //                         }
-//           //                     }
-
-
-//           value -= sums[cl][labelIndex] - total;
-
-//           //                     // observed
-//           //                     for (int f=0; f<features.length; f++) {
-//           //                         //int i = indexOf(features[f], labels[d]);
-//           //                         derivative[index+labelIndex] -= 1.0;
-//           //                     }
-
-//         }
-
-//         // go through each clique...
-//         for (int j = 0; j < data[d][e].length; j++) {
-//           Index labelIndex = labelIndices[j];
-
-//           // ...and each possible labeling for that clique
-//           for (int k = 0; k < labelIndex.size(); k++) {
-//             int[] label = ((CRFLabel) labelIndex.get(k)).getLabel();
-
-//             // double p = Math.pow(Math.E, factorTables[i].logProbEnd(label));
-//             double p = probs[j][k];
-//             for (int n = 0; n < data[d][e][j].length; n++) {
-//               E[data[d][e][j][n]][k] += p;
-//             }
-//           }
-//         }
-//       }
-
-//     }
-
-
-//     // compute the partial derivative for each feature
-//     int index = 0;
-//     for (int i = 0; i < E.length; i++) {
-//       for (int j = 0; j < E[i].length; j++) {
-//         derivative[index++] = (E[i][j] - Ehat[i][j]);
-//       }
-//     }
-
-//     // observed
-//     //       int index = 0;
-//     //       for (int i = 0; i < Ehat.length; i++) {
-//     //           for (int j = 0; j < Ehat[i].length; j++) {
-//     //               derivative[index++] -= Ehat[i][j];
-//     //           }
-//     //       }
-
-//     // priors
-//     if (prior == QUADRATIC_PRIOR) {
-//       double sigmaSq = sigma * sigma;
-//       for (int i = 0; i < x.length; i++) {
-//         double k = 1.0;
-//         double w = x[i];
-//         value += k * w * w / 2.0 / sigmaSq;
-//         derivative[i] += k * w / sigmaSq;
-//       }
-//     } else if (prior == HUBER_PRIOR) {
-//       double sigmaSq = sigma * sigma;
-//       for (int i = 0; i < x.length; i++) {
-//         double w = x[i];
-//         double wabs = Math.abs(w);
-//         if (wabs < epsilon) {
-//           value += w * w / 2.0 / epsilon / sigmaSq;
-//           derivative[i] += w / epsilon / sigmaSq;
-//         } else {
-//           value += (wabs - epsilon / 2) / sigmaSq;
-//           derivative[i] += ((w < 0.0) ? -1.0 : 1.0) / sigmaSq;
-//         }
-//       }
-//     } else if (prior == QUARTIC_PRIOR) {
-//       double sigmaQu = sigma * sigma * sigma * sigma;
-//       for (int i = 0; i < x.length; i++) {
-//         double k = 1.0;
-//         double w = x[i];
-//         value += k * w * w * w * w / 2.0 / sigmaQu;
-//         derivative[i] += k * w / sigmaQu;
-//       }
-//     }
-//   }
-
-//   public void calculateWeird(double[] x) {
-
-//     double[][] weights = to2D(x);
-//     double[][] E = empty2D();
-
-//     value = 0.0;
-//     Arrays.fill(derivative, 0.0);
-
-//     int size = labelIndices[labelIndices.length - 1].size();
-
-//     double[] sums = new double[size];
-//     double[] probs = new double[size];
-
-//     Index labelIndex = labelIndices[labelIndices.length - 1];
-
-//     for (int d = 0; d < data.length; d++) {
-//       int[] llabels = labels[d];
-
-//       int[] label = new int[window];
-//       //Arrays.fill(label, classIndex.indexOf("O"));
-//       Arrays.fill(label, classIndex.indexOf(backgroundSymbol));
-
-//       for (int e = 0; e < data[d].length; e++) {
-
-//         Arrays.fill(sums, 0.0);
-
-//         System.arraycopy(label, 1, label, 0, window - 1);
-//         label[window - 1] = llabels[e];
-//         CRFLabel crfLabel = new CRFLabel(label);
-//         int maxCliqueLabelIndex = labelIndex.indexOf(crfLabel);
-
-//         int[][] ddata = this.data[d][e];
-
-//         //Iterator labelIter = labelIndices[labelIndices.length-1].iterator();
-//         //while (labelIter.hasNext()) {
-
-//         for (int i = 0; i < labelIndex.size(); i++) {
-//           CRFLabel c = (CRFLabel) labelIndex.get(i);
-
-//           for (int cl = 0; cl < ddata.length; cl++) {
-
-//             CRFLabel cliqueLabel = c.getSmallerLabel(cl + 1);
-//             int clIndex = labelIndices[cl].indexOf(cliqueLabel);
-
-//             int[] features = ddata[cl];
-//             for (int f = 0; f < features.length; f++) {
-//               sums[i] += weights[features[f]][clIndex];
-//             }
-//           }
-//         }
-
-//         double total = SloppyMath.logSum(sums);
-//         for (int i = 0; i < probs.length; i++) {
-//           probs[i] = Math.exp(sums[i] - total);
-//         }
-//         value -= sums[maxCliqueLabelIndex] - total;
-
-//         for (int i = 0; i < labelIndex.size(); i++) {
-//           CRFLabel c = (CRFLabel) labelIndex.get(i);
-
-//           for (int cl = 0; cl < ddata.length; cl++) {
-
-//             CRFLabel cliqueLabel = c.getSmallerLabel(cl + 1);
-//             int clIndex = labelIndices[cl].indexOf(cliqueLabel);
-//             int[] features = ddata[cl];
-
-//             for (int f = 0; f < features.length; f++) {
-//               E[features[f]][clIndex] += probs[i];
-//               if (i == maxCliqueLabelIndex) {
-//                 E[features[f]][clIndex] -= 1.0;
-//               }
-//               //sums[i] += weights[features[f]][cl];
-//             }
-//           }
-//         }
-//       }
-//     }
-
-
-//     // compute the partial derivative for each feature
-//     int index = 0;
-//     for (int i = 0; i < E.length; i++) {
-//       for (int j = 0; j < E[i].length; j++) {
-//         //derivative[index++] = (E[i][j] - Ehat[i][j]);
-//         derivative[index++] = E[i][j];
-//       }
-//     }
-
-//     // priors
-//     if (prior == QUADRATIC_PRIOR) {
-//       double sigmaSq = sigma * sigma;
-//       for (int i = 0; i < x.length; i++) {
-//         double k = 1.0;
-//         double w = x[i];
-//         value += k * w * w / 2.0 / sigmaSq;
-//         derivative[i] += k * w / sigmaSq;
-//       }
-//     } else if (prior == HUBER_PRIOR) {
-//       double sigmaSq = sigma * sigma;
-//       for (int i = 0; i < x.length; i++) {
-//         double w = x[i];
-//         double wabs = Math.abs(w);
-//         if (wabs < epsilon) {
-//           value += w * w / 2.0 / epsilon / sigmaSq;
-//           derivative[i] += w / epsilon / sigmaSq;
-//         } else {
-//           value += (wabs - epsilon / 2) / sigmaSq;
-//           derivative[i] += ((w < 0.0) ? -1.0 : 1.0) / sigmaSq;
-//         }
-//       }
-//     } else if (prior == QUARTIC_PRIOR) {
-//       double sigmaQu = sigma * sigma * sigma * sigma;
-//       for (int i = 0; i < x.length; i++) {
-//         double k = 1.0;
-//         double w = x[i];
-//         value += k * w * w * w * w / 2.0 / sigmaQu;
-//         derivative[i] += k * w / sigmaQu;
-//       }
-//     }
-//   }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/FactorTable.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/FactorTable.java
deleted file mode 100644
index 73aa085..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/FactorTable.java
+++ /dev/null
@@ -1,513 +0,0 @@
-package edu.stanford.nlp.ie.crf;
-
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.math.SloppyMath;
-import edu.stanford.nlp.util.Index;
-
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.List;
-
-
-/** Stores a factor table as a one dimensional array of doubles.
- *
- *  @author Jenny Finkel
- */
-public class FactorTable {
-
-  private int numClasses;
-  private int windowSize;
-
-  private double[] table;
-
-  public FactorTable(int numClasses, int windowSize) {
-    this.numClasses = numClasses;
-    this.windowSize = windowSize;
-
-    table = new double[SloppyMath.intPow(numClasses, windowSize)];
-    Arrays.fill(table, Double.NEGATIVE_INFINITY);
-  }
-
-  public boolean containsNaN() {
-    for (int i = 0; i < table.length; i++) {
-      if (Double.isNaN(table[i])) {
-        return true;
-      }
-    }
-    return false;
-  }
-
-
-  public String toProbString() {
-    StringBuilder sb = new StringBuilder("{\n");
-    for (int i = 0; i < table.length; i++) {
-      sb.append(Arrays.toString(toArray(i)));
-      sb.append(": ");
-      sb.append(prob(toArray(i)));
-      sb.append("\n");
-    }
-    sb.append("}");
-    return sb.toString();
-  }
-
-  public <L> String toString(Index<L> classIndex) {
-    StringBuilder sb = new StringBuilder("{\n");
-    for (int i = 0; i < table.length; i++) {
-      sb.append(toString(toArray(i), classIndex));
-      sb.append(": ");
-      sb.append(getValue(i));
-      sb.append("\n");
-    }
-    sb.append("}");
-    return sb.toString();
-  }
-
-  @Override
-  public String toString() {
-    StringBuilder sb = new StringBuilder("{\n");
-    for (int i = 0; i < table.length; i++) {
-      sb.append(Arrays.toString(toArray(i)));
-      sb.append(": ");
-      sb.append(getValue(i));
-      sb.append("\n");
-    }
-    sb.append("}");
-    return sb.toString();
-  }
-
-  private static <L> String toString(int[] array, Index<L> classIndex) {
-    List<L> l = new ArrayList<L>();
-    for (int i = 0; i < array.length; i++) {
-      l.add(classIndex.get(array[i]));
-    }
-    return l.toString();
-  }
-
-  private int[] toArray(int index) {
-    int[] indices = new int[windowSize];
-    for (int i = indices.length - 1; i >= 0; i--) {
-      indices[i] = index % numClasses;
-      index /= numClasses;
-    }
-    return indices;
-  }
-
-  private int indexOf(int[] entry) {
-    int index = 0;
-    for (int i = 0; i < entry.length; i++) {
-      index *= numClasses;
-      index += entry[i];
-    }
-    if (index<0) throw new RuntimeException("index=" + index + " entry=" + Arrays.toString(entry));
-    return index;
-  }
-
-  private int indexOf(int[] front, int end) {
-    int index = 0;
-    for (int i = 0; i < front.length; i++) {
-      index *= numClasses;
-      index += front[i];
-    }
-    index *= numClasses;
-    index += end;
-    return index;
-  }
-
-  private int indexOf(int front, int[] end) {
-    int index = front;
-    for (int i = 0; i < end.length; i++) {
-      index *= numClasses;
-      index += end[i];
-    }
-    return index;
-  }
-
-  private int[] indicesEnd(int[] entries) {
-    int[] indices = new int[SloppyMath.intPow(numClasses, windowSize - entries.length)];
-    int offset = SloppyMath.intPow(numClasses, entries.length);
-    int index = 0;
-    for (int i = 0; i < entries.length; i++) {
-      index *= numClasses;
-      index += entries[i];
-    }
-    for (int i = 0; i < indices.length; i++) {
-      indices[i] = index;
-      index += offset;
-    }
-    return indices;
-  }
-
-  private int[] indicesFront(int[] entries) {
-    int[] indices = new int[SloppyMath.intPow(numClasses, windowSize - entries.length)];
-    int offset = SloppyMath.intPow(numClasses, windowSize - entries.length);
-    int start = 0;
-    for (int i = 0; i < entries.length; i++) {
-      start *= numClasses;
-      start += entries[i];
-    }
-    start *= offset;
-    int end = 0;
-    for (int i = 0; i < entries.length; i++) {
-      end *= numClasses;
-      end += entries[i];
-      if (i == entries.length - 1) {
-        end += 1;
-      }
-    }
-    end *= offset;
-    for (int i = start; i < end; i++) {
-      indices[i - start] = i;
-    }
-    return indices;
-  }
-
-  public int windowSize() {
-    return windowSize;
-  }
-
-  public int numClasses() {
-    return numClasses;
-  }
-
-  private int size() {
-    return table.length;
-  }
-
-  public double totalMass() {
-    return ArrayMath.logSum(table);
-  }
-
-  public double unnormalizedLogProb(int[] label) {
-    return getValue(label);
-  }
-
-  public double logProb(int[] label) {
-    return unnormalizedLogProb(label) - totalMass();
-  }
-
-
-  public double prob(int[] label) {
-    return Math.pow(Math.E, unnormalizedLogProb(label) - totalMass());
-  }
-
-  /**
-   * Computes the probability of the tag OF being at the end of the table
-   * given that the previous tag sequence in table is GIVEN.
-   * given is at the begining, of is at the end
-   * @return the probability of the tag OF being at the end of the table
-   */
-  public double conditionalLogProbGivenPrevious(int[] given, int of) {
-    if (given.length != windowSize - 1) {
-      System.err.println("error computing conditional log prob");
-      System.exit(0);
-    }
-    int[] label = indicesFront(given);
-    double[] masses = new double[label.length];
-    for (int i = 0; i < masses.length; i++) {
-      masses[i] = table[label[i]];
-    }
-    double z = ArrayMath.logSum(masses);
-
-    int i = indexOf(given, of);
-
-//     if (SloppyMath.isDangerous(z) || SloppyMath.isDangerous(table[i])) {
-//       System.err.println("z="+z);
-//       System.err.println("t="+table[i]);
-//     }
-
-    return table[i] - z;
-  }
-
-  /**
-   * Computes the probabilities of the tag at the end of the table
-   * given that the previous tag sequence in table is GIVEN.
-   * given is at the begining, position in question is at the end
-   * @return the probabilities of the tag at the end of the table
-   */
-  public double[] conditionalLogProbsGivenPrevious(int[] given) {
-    if (given.length != windowSize - 1) {
-      System.err.println("error computing conditional log prob");
-      System.exit(0);
-    }
-    double[] result = new double[numClasses];
-    for (int i = 0; i < numClasses; i++) {
-      int index = indexOf(given, i);
-      result[i] = table[index];
-    }
-    ArrayMath.logNormalize(result);
-    return result;
-  }
-
-  /**
-   * Computes the probability of the sequence OF being at the end of the table
-   * given that the first tag in table is GIVEN.
-   * given is at the begining, of is at the end
-   * @return the probability of the sequence of being at the end of the table
-   */
-  public double conditionalLogProbGivenFirst(int given, int[] of) {
-    if (of.length != windowSize - 1) {
-      System.err.println("error computing conditional log prob");
-      System.exit(0);
-    }
-    // compute P(given, of)
-    int[] labels = new int[windowSize];
-    labels[0] = given;
-    System.arraycopy(of, 0, labels, 1, windowSize-1);
-    //double probAll = logProb(labels);
-    double probAll = unnormalizedLogProb(labels);
-
-    // compute P(given)
-    //double probGiven = logProbFront(given);
-    double probGiven = unnormalizedLogProbFront(given);
-
-    // compute P(given, of) / P(given)
-    return probAll - probGiven;
-  }
-
-  /**
-   * Computes the probability of the sequence OF being at the end of the table
-   * given that the first tag in table is GIVEN.
-   * given is at the begining, of is at the end
-   * @return the probability of the sequence of being at the end of the table
-   */
-  public double unnormalizedConditionalLogProbGivenFirst(int given, int[] of) {
-    if (of.length != windowSize - 1) {
-      System.err.println("error computing conditional log prob");
-      System.exit(0);
-    }
-    // compute P(given, of)
-    int[] labels = new int[windowSize];
-    labels[0] = given;
-    System.arraycopy(of, 0, labels, 1, windowSize-1);
-    //double probAll = logProb(labels);
-    double probAll = unnormalizedLogProb(labels);
-
-    // compute P(given)
-    //double probGiven = logProbFront(given);
-    //double probGiven = unnormalizedLogProbFront(given);
-
-    // compute P(given, of) / P(given)
-    //return probAll - probGiven;
-    return probAll;
-  }
-
-  /**
-   * Computes the probability of the tag OF being at the beginning of the table
-   * given that the tag sequence GIVEN is at the end of the table.
-   * given is at the end, of is at the begining
-   * @return the probability of the tag of being at the beginning of the table
-   */
-  public double conditionalLogProbGivenNext(int[] given, int of) {
-    if (given.length != windowSize - 1) {
-      System.err.println("error computing conditional log prob");
-      System.exit(0);
-    }
-    int[] label = indicesEnd(given);
-    double[] masses = new double[label.length];
-    for (int i = 0; i < masses.length; i++) {
-      masses[i] = table[label[i]];
-    }
-    double z = ArrayMath.logSum(masses);
-
-    return table[indexOf(of, given)] - z;
-  }
-
-  public double unnormalizedLogProbFront(int[] labels) {
-    labels = indicesFront(labels);
-    double[] masses = new double[labels.length];
-    for (int i = 0; i < masses.length; i++) {
-      masses[i] = table[labels[i]];
-    }
-    return ArrayMath.logSum(masses);
-  }
-
-  public double logProbFront(int[] label) {
-    return unnormalizedLogProbFront(label) - totalMass();
-  }
-
-  public double unnormalizedLogProbFront(int label) {
-    int[] labels = {label};
-    return unnormalizedLogProbFront(labels);
-  }
-
-  public double logProbFront(int label) {
-    return unnormalizedLogProbFront(label) - totalMass();
-  }
-
-  public double unnormalizedLogProbEnd(int[] labels) {
-    labels = indicesEnd(labels);
-    double[] masses = new double[labels.length];
-    for (int i = 0; i < masses.length; i++) {
-      masses[i] = table[labels[i]];
-    }
-    return ArrayMath.logSum(masses);
-  }
-
-  public double logProbEnd(int[] labels) {
-    return unnormalizedLogProbEnd(labels) - totalMass();
-  }
-
-  public double unnormalizedLogProbEnd(int label) {
-    int[] labels = {label};
-    return unnormalizedLogProbEnd(labels);
-  }
-
-  public double logProbEnd(int label) {
-    return unnormalizedLogProbEnd(label) - totalMass();
-  }
-
-  private double getValue(int index) {
-    return table[index];
-  }
-
-  public double getValue(int[] label) {
-    return table[indexOf(label)];
-  }
-
-  @SuppressWarnings("unused")
-  private void setValue(int index, double value) {
-    table[index] = value;
-  }
-
-  public void setValue(int[] label, double value) {
-      //      try{    
-      table[indexOf(label)] = value;
-     //  } catch (Exception e) {
-// 	  e.printStackTrace();
-// 	  System.err.println("Table length: " + table.length + " indexOf(label): " + indexOf(label));
-// 	  throw new ArrayIndexOutOfBoundsException(e.toString());
-// 	  // System.exit(1);
-//       }
-  }
-
-  public void incrementValue(int[] label, double value) {
-    table[indexOf(label)] += value;
-  }
-
-  private void logIncrementValue(int index, double value) {
-    table[index] = SloppyMath.logAdd(table[index], value);
-  }
-
-  public void logIncrementValue(int[] label, double value) {
-    int index = indexOf(label);
-    table[index] = SloppyMath.logAdd(table[index], value);
-  }
-
-  public void multiplyInFront(FactorTable other) {
-    int divisor = SloppyMath.intPow(numClasses, windowSize - other.windowSize());
-    for (int i = 0; i < table.length; i++) {
-      table[i] += other.getValue(i / divisor);
-    }
-  }
-
-  public void multiplyInEnd(FactorTable other) {
-    int divisor = SloppyMath.intPow(numClasses, other.windowSize());
-    for (int i = 0; i < table.length; i++) {
-      table[i] += other.getValue(i % divisor);
-    }
-  }
-
-  public FactorTable sumOutEnd() {
-    FactorTable ft = new FactorTable(numClasses, windowSize - 1);
-    for (int i = 0; i < table.length; i++) {
-      ft.logIncrementValue(i / numClasses, table[i]);
-    }
-    return ft;
-  }
-
-  public FactorTable sumOutFront() {
-    FactorTable ft = new FactorTable(numClasses, windowSize - 1);
-    int mod = SloppyMath.intPow(numClasses, windowSize - 1);
-    for (int i = 0; i < table.length; i++) {
-      ft.logIncrementValue(i % mod, table[i]);
-    }
-    return ft;
-  }
-
-  public void divideBy(FactorTable other) {
-    for (int i = 0; i < table.length; i++) {
-      if (table[i] != Double.NEGATIVE_INFINITY || other.table[i] != Double.NEGATIVE_INFINITY) {
-        table[i] -= other.table[i];
-      }
-    }
-  }
-
-  public static void main(String[] args) {
-    FactorTable ft = new FactorTable(6, 3);
-
-    /**
-     for (int i = 0; i < 2; i++) {
-     for (int j = 0; j < 2; j++) {
-     for (int k = 0; k < 2; k++) {
-     int[] a = new int[]{i, j, k};
-     System.out.print(ft.toString(a)+": "+ft.indexOf(a));
-     }
-     }
-     }
-     for (int i = 0; i < 2; i++) {
-     int[] b = new int[]{i};
-     System.out.print(ft.toString(b)+": "+ft.toString(ft.indicesFront(b)));
-     }
-     for (int i = 0; i < 2; i++) {
-     for (int j = 0; j < 2; j++) {
-     int[] b = new int[]{i, j};
-     System.out.print(ft.toString(b)+": "+ft.toString(ft.indicesFront(b)));
-     }
-     }
-     for (int i = 0; i < 2; i++) {
-     int[] b = new int[]{i};
-     System.out.print(ft.toString(b)+": "+ft.toString(ft.indicesBack(b)));
-     }	for (int i = 0; i < 2; i++) {
-     for (int j = 0; j < 2; j++) {
-     int[] b = new int[]{i, j};
-     ft2.setValue(b, (i*2)+j);
-     }
-     }
-     for (int i = 0; i < 2; i++) {
-     for (int j = 0; j < 2; j++) {
-     int[] b = new int[]{i, j};
-     System.out.print(ft.toString(b)+": "+ft.toString(ft.indicesBack(b)));
-     }
-     }
-
-     System.out.println("##########################################");
-
-     **/
-
-    for (int i = 0; i < 6; i++) {
-      for (int j = 0; j < 6; j++) {
-        for (int k = 0; k < 6; k++) {
-          int[] b = new int[]{i, j, k};
-          ft.setValue(b, (i * 4) + (j * 2) + k);
-        }
-      }
-    }
-
-    //System.out.println(ft);
-    //System.out.println(ft.sumOutFront());
-
-    FactorTable ft2 = new FactorTable(6, 2);
-    for (int i = 0; i < 6; i++) {
-      for (int j = 0; j < 6; j++) {
-        int[] b = new int[]{i, j};
-        ft2.setValue(b, i * 6 + j);
-      }
-    }
-
-    System.out.println(ft);
-    //FactorTable ft3 = ft2.sumOutFront();
-    //System.out.println(ft3);
-
-    for (int i = 0; i < 6; i++) {
-      for (int j = 0; j < 6; j++) {
-        int[] b = new int[]{i, j};
-        double t = 0;
-        for (int k = 0; k < 6; k++) {
-          t += Math.pow(Math.E, ft.conditionalLogProbGivenPrevious(b, k));
-          System.err.println(k + "|" + i + "," + j + " : " + Math.pow(Math.E, ft.conditionalLogProbGivenPrevious(b, k)));
-        }
-        System.out.println(t);
-      }
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/FloatFactorTable.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/FloatFactorTable.java
deleted file mode 100644
index a515e4a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/FloatFactorTable.java
+++ /dev/null
@@ -1,386 +0,0 @@
-package edu.stanford.nlp.ie.crf;
-
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.math.SloppyMath;
-import edu.stanford.nlp.util.Index;
-
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.List;
-
-
-/** Stores a factor table as a one dimensional array of floats.
- *
- *  @author Jenny Finkel
- */
-
-public class FloatFactorTable {
-
-  private int numClasses;
-  private int windowSize;
-
-  private float[] table;
-
-  public FloatFactorTable(int numClasses, int windowSize) {
-    this.numClasses = numClasses;
-    this.windowSize = windowSize;
-
-    table = new float[SloppyMath.intPow(numClasses, windowSize)];
-    Arrays.fill(table, Float.NEGATIVE_INFINITY);
-  }
-
-  public boolean containsNaN() {
-    for (int i = 0; i < table.length; i++) {
-      if (Float.isNaN(table[i])) {
-        return true;
-      }
-    }
-    return false;
-  }
-
-
-  public String toProbString() {
-    StringBuilder sb = new StringBuilder("{\n");
-    for (int i = 0; i < table.length; i++) {
-      sb.append(Arrays.toString(toArray(i)));
-      sb.append(": ");
-      sb.append(prob(toArray(i)));
-      sb.append("\n");
-    }
-    sb.append("}");
-    return sb.toString();
-  }
-
-  public String toString(Index classIndex) {
-    StringBuilder sb = new StringBuilder("{\n");
-    for (int i = 0; i < table.length; i++) {
-      sb.append(toString(toArray(i), classIndex));
-      sb.append(": ");
-      sb.append(getValue(i));
-      sb.append("\n");
-    }
-    sb.append("}");
-    return sb.toString();
-  }
-
-  @Override
-  public String toString() {
-    StringBuilder sb = new StringBuilder("{\n");
-    for (int i = 0; i < table.length; i++) {
-      sb.append(Arrays.toString(toArray(i)));
-      sb.append(": ");
-      sb.append(getValue(i));
-      sb.append("\n");
-    }
-    sb.append("}");
-    return sb.toString();
-  }
-
-  private String toString(int[] array, Index classIndex) {
-    List l = new ArrayList();
-    for (int i = 0; i < array.length; i++) {
-      l.add(classIndex.get(array[i]));
-    }
-    return l.toString();
-  }
-
-  private int[] toArray(int index) {
-    int[] indices = new int[windowSize];
-    for (int i = indices.length - 1; i >= 0; i--) {
-      indices[i] = index % numClasses;
-      index /= numClasses;
-    }
-    return indices;
-  }
-
-  private int indexOf(int[] entry) {
-    int index = 0;
-    for (int i = 0; i < entry.length; i++) {
-      index *= numClasses;
-      index += entry[i];
-    }
-    return index;
-  }
-
-  private int indexOf(int[] front, int end) {
-    int index = 0;
-    for (int i = 0; i < front.length; i++) {
-      index *= numClasses;
-      index += front[i];
-    }
-    index *= numClasses;
-    index += end;
-    return index;
-  }
-
-  private int[] indicesEnd(int[] entries) {
-    int[] indices = new int[SloppyMath.intPow(numClasses, windowSize - entries.length)];
-    int offset = SloppyMath.intPow(numClasses, entries.length);
-    int index = 0;
-    for (int i = 0; i < entries.length; i++) {
-      index *= numClasses;
-      index += entries[i];
-    }
-    for (int i = 0; i < indices.length; i++) {
-      indices[i] = index;
-      index += offset;
-    }
-    return indices;
-  }
-
-  private int[] indicesFront(int[] entries) {
-    int[] indices = new int[SloppyMath.intPow(numClasses, windowSize - entries.length)];
-    int offset = SloppyMath.intPow(numClasses, windowSize - entries.length);
-    int start = 0;
-    for (int i = 0; i < entries.length; i++) {
-      start *= numClasses;
-      start += entries[i];
-    }
-    start *= offset;
-    int end = 0;
-    for (int i = 0; i < entries.length; i++) {
-      end *= numClasses;
-      end += entries[i];
-      if (i == entries.length - 1) {
-        end += 1;
-      }
-    }
-    end *= offset;
-    for (int i = start; i < end; i++) {
-      indices[i - start] = i;
-    }
-    return indices;
-  }
-
-  public int windowSize() {
-    return windowSize;
-  }
-
-  public int numClasses() {
-    return numClasses;
-  }
-
-  private int size() {
-    return table.length;
-  }
-
-  public float totalMass() {
-    return ArrayMath.logSum(table);
-  }
-
-  public float unnormalizedLogProb(int[] label) {
-    return getValue(label);
-  }
-
-  public float logProb(int[] label) {
-    return unnormalizedLogProb(label) - totalMass();
-  }
-
-
-  public float prob(int[] label) {
-    return (float) Math.exp(unnormalizedLogProb(label) - totalMass());
-  }
-
-  // given is at the begining, of is at the end
-  public float conditionalLogProb(int[] given, int of) {
-    if (given.length != windowSize - 1) {
-      System.err.println("error computing conditional log prob");
-      System.exit(0);
-    }
-    int[] label = indicesFront(given);
-    float[] masses = new float[label.length];
-    for (int i = 0; i < masses.length; i++) {
-      masses[i] = table[label[i]];
-    }
-    float z = ArrayMath.logSum(masses);
-
-    return table[indexOf(given, of)] - z;
-  }
-
-  public float unnormalizedLogProbFront(int[] label) {
-    label = indicesFront(label);
-    float[] masses = new float[label.length];
-    for (int i = 0; i < masses.length; i++) {
-      masses[i] = table[label[i]];
-    }
-    return ArrayMath.logSum(masses);
-  }
-
-  public float logProbFront(int[] label) {
-    return unnormalizedLogProbFront(label) - totalMass();
-  }
-
-  public float unnormalizedLogProbEnd(int[] label) {
-    label = indicesEnd(label);
-    float[] masses = new float[label.length];
-    for (int i = 0; i < masses.length; i++) {
-      masses[i] = table[label[i]];
-    }
-    return ArrayMath.logSum(masses);
-  }
-
-  public float logProbEnd(int[] label) {
-    return unnormalizedLogProbEnd(label) - totalMass();
-  }
-
-  public float unnormalizedLogProbEnd(int label) {
-    int[] l = {label};
-    l = indicesEnd(l);
-    float[] masses = new float[l.length];
-    for (int i = 0; i < masses.length; i++) {
-      masses[i] = table[l[i]];
-    }
-    return ArrayMath.logSum(masses);
-  }
-
-  public float logProbEnd(int label) {
-    return unnormalizedLogProbEnd(label) - totalMass();
-  }
-
-  private float getValue(int index) {
-    return table[index];
-  }
-
-  public float getValue(int[] label) {
-    return table[indexOf(label)];
-  }
-
-  private void setValue(int index, float value) {
-    table[index] = value;
-  }
-
-  public void setValue(int[] label, float value) {
-    table[indexOf(label)] = value;
-  }
-
-  public void incrementValue(int[] label, float value) {
-    table[indexOf(label)] += value;
-  }
-
-  private void logIncrementValue(int index, float value) {
-    table[index] = SloppyMath.logAdd(table[index], value);
-  }
-
-  public void logIncrementValue(int[] label, float value) {
-    int index = indexOf(label);
-    table[index] = SloppyMath.logAdd(table[index], value);
-  }
-
-  public void multiplyInFront(FloatFactorTable other) {
-    int divisor = SloppyMath.intPow(numClasses, windowSize - other.windowSize());
-    for (int i = 0; i < table.length; i++) {
-      table[i] += other.getValue(i / divisor);
-    }
-  }
-
-  public void multiplyInEnd(FloatFactorTable other) {
-    int divisor = SloppyMath.intPow(numClasses, other.windowSize());
-    for (int i = 0; i < table.length; i++) {
-      table[i] += other.getValue(i % divisor);
-    }
-  }
-
-  public FloatFactorTable sumOutEnd() {
-    FloatFactorTable ft = new FloatFactorTable(numClasses, windowSize - 1);
-    for (int i = 0; i < table.length; i++) {
-      ft.logIncrementValue(i / numClasses, table[i]);
-    }
-    return ft;
-  }
-
-  public FloatFactorTable sumOutFront() {
-    FloatFactorTable ft = new FloatFactorTable(numClasses, windowSize - 1);
-    int mod = SloppyMath.intPow(numClasses, windowSize - 1);
-    for (int i = 0; i < table.length; i++) {
-      ft.logIncrementValue(i % mod, table[i]);
-    }
-    return ft;
-  }
-
-  public void divideBy(FloatFactorTable other) {
-    for (int i = 0; i < table.length; i++) {
-      if (table[i] != Float.NEGATIVE_INFINITY || other.table[i] != Float.NEGATIVE_INFINITY) {
-        table[i] -= other.table[i];
-      }
-    }
-  }
-
-  public static void main(String[] args) {
-    FloatFactorTable ft = new FloatFactorTable(6, 3);
-
-    /**
-     for (int i = 0; i < 2; i++) {
-     for (int j = 0; j < 2; j++) {
-     for (int k = 0; k < 2; k++) {
-     int[] a = new int[]{i, j, k};
-     System.out.print(ft.toString(a)+": "+ft.indexOf(a));
-     }
-     }
-     }
-     for (int i = 0; i < 2; i++) {
-     int[] b = new int[]{i};
-     System.out.print(ft.toString(b)+": "+ft.toString(ft.indicesFront(b)));
-     }
-     for (int i = 0; i < 2; i++) {
-     for (int j = 0; j < 2; j++) {
-     int[] b = new int[]{i, j};
-     System.out.print(ft.toString(b)+": "+ft.toString(ft.indicesFront(b)));
-     }
-     }
-     for (int i = 0; i < 2; i++) {
-     int[] b = new int[]{i};
-     System.out.print(ft.toString(b)+": "+ft.toString(ft.indicesBack(b)));
-     }	for (int i = 0; i < 2; i++) {
-     for (int j = 0; j < 2; j++) {
-     int[] b = new int[]{i, j};
-     ft2.setValue(b, (i*2)+j);
-     }
-     }
-     for (int i = 0; i < 2; i++) {
-     for (int j = 0; j < 2; j++) {
-     int[] b = new int[]{i, j};
-     System.out.print(ft.toString(b)+": "+ft.toString(ft.indicesBack(b)));
-     }
-     }
-
-     System.out.println("##########################################");
-
-     **/
-
-    for (int i = 0; i < 6; i++) {
-      for (int j = 0; j < 6; j++) {
-        for (int k = 0; k < 6; k++) {
-          int[] b = new int[]{i, j, k};
-          ft.setValue(b, (i * 4) + (j * 2) + k);
-        }
-      }
-    }
-
-    //System.out.println(ft);
-    //System.out.println(ft.sumOutFront());
-
-    FloatFactorTable ft2 = new FloatFactorTable(6, 2);
-    for (int i = 0; i < 6; i++) {
-      for (int j = 0; j < 6; j++) {
-        int[] b = new int[]{i, j};
-        ft2.setValue(b, i * 6 + j);
-      }
-    }
-
-    System.out.println(ft);
-    //FloatFactorTable ft3 = ft2.sumOutFront();
-    //System.out.println(ft3);
-
-    for (int i = 0; i < 6; i++) {
-      for (int j = 0; j < 6; j++) {
-        int[] b = new int[]{i, j};
-        float t = 0;
-        for (int k = 0; k < 6; k++) {
-          t += Math.exp(ft.conditionalLogProb(b, k));
-          System.err.println(k + "|" + i + "," + j + " : " + Math.exp(ft.conditionalLogProb(b, k)));
-        }
-        System.out.println(t);
-      }
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/NERGUI.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/NERGUI.java
deleted file mode 100644
index 28281ec..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/NERGUI.java
+++ /dev/null
@@ -1,773 +0,0 @@
-// NERGUI -- a GUI for a probabilistic (CRF) sequence model for NER.
-// Copyright (c) 2002-2008 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    Support/Questions: java-nlp-user@lists.stanford.edu
-//    Licensing: java-nlp-support@lists.stanford.edu
-//    http://nlp.stanford.edu/downloads/crf-classifier.shtml
-
-package edu.stanford.nlp.ie.crf;
-
-import edu.stanford.nlp.ie.AbstractSequenceClassifier;
-import edu.stanford.nlp.util.StringUtils;
-
-import javax.swing.*;
-import javax.swing.text.*;
-import java.awt.*;
-import java.awt.event.ActionEvent;
-import java.awt.event.ActionListener;
-import java.awt.event.KeyEvent;
-import java.awt.event.KeyListener;
-import java.io.File;
-import java.util.HashMap;
-import java.util.Set;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-/** A GUI for Named Entity sequence classifiers.
- *  This version only supports the CRF.
- *
- *  @author Jenny Finkel
- *  @author Christopher Manning
- */
-public class NERGUI {
-
-  private AbstractSequenceClassifier classifier;
-
-  private JFrame frame;
-  private JEditorPane editorPane;
-  private JToolBar tagPanel;
-  private static int HEIGHT = 600;
-  private static int WIDTH = 650;
-  private HashMap<String, Color> tagToColorMap;
-  private JFileChooser fileChooser = new JFileChooser();
-  private MutableAttributeSet defaultAttrSet = new SimpleAttributeSet();
-  private ActionListener actor = new ActionPerformer();
-  private File loadedFile;
-  private String taggedContents = null;
-  private String htmlContents = null;
-
-  private JMenuItem saveUntagged = null;
-  private JMenuItem saveTaggedAs = null;
-
-  private JButton extractButton = null;
-  private JMenuItem extract = null;
-
-  private void createAndShowGUI() {
-    //Make sure we have nice window decorations.
-    JFrame.setDefaultLookAndFeelDecorated(true);
-
-    //Create and set up the window.
-    frame = new JFrame("Stanford Named Entity Recognizer");
-    frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
-    frame.getContentPane().setLayout(new BorderLayout());
-    frame.getContentPane().setPreferredSize(new Dimension(WIDTH, HEIGHT));
-
-    frame.setJMenuBar(addMenuBar());
-
-    buildTagPanel();
-    buildContentPanel();
-    buildExtractButton();
-    extractButton.setEnabled(false);
-    extract.setEnabled(false);
-
-    //Display the window.
-    frame.pack();
-    frame.setVisible(true);
-  }
-
-  private JMenuBar addMenuBar() {
-    JMenuBar menubar = new JMenuBar();
-
-    JMenu fileMenu = new JMenu("File");
-    menubar.add(fileMenu);
-
-    JMenu editMenu = new JMenu("Edit");
-    menubar.add(editMenu);
-
-    JMenu classifierMenu = new JMenu("Classifier");
-    menubar.add(classifierMenu);
-
-    /**
-     * FILE MENU
-     */
-
-    JMenuItem openFile = new JMenuItem("Open File");
-    openFile.setMnemonic('O');
-    openFile.setAccelerator(KeyStroke.getKeyStroke(java.awt.event.KeyEvent.VK_F, java.awt.Event.CTRL_MASK));
-    openFile.addActionListener(actor);
-    fileMenu.add(openFile);
-
-    JMenuItem loadURL = new JMenuItem("Load URL");
-    loadURL.setMnemonic('L');
-    loadURL.setAccelerator(KeyStroke.getKeyStroke(java.awt.event.KeyEvent.VK_U, java.awt.Event.CTRL_MASK));
-    loadURL.addActionListener(actor);
-    fileMenu.add(loadURL);
-
-    fileMenu.add(new JSeparator());
-
-    saveUntagged = new JMenuItem("Save Untagged File");
-    saveUntagged.setMnemonic('S');
-    saveUntagged.setAccelerator(KeyStroke.getKeyStroke(java.awt.event.KeyEvent.VK_S, java.awt.Event.CTRL_MASK));
-    saveUntagged.addActionListener(actor);
-    saveUntagged.setEnabled(false);
-    fileMenu.add(saveUntagged);
-
-    JMenuItem saveUntaggedAs = new JMenuItem("Save Untagged File As ...");
-    saveUntaggedAs.setMnemonic('U');
-    saveUntaggedAs.setAccelerator(KeyStroke.getKeyStroke(java.awt.event.KeyEvent.VK_U, java.awt.Event.CTRL_MASK));
-    saveUntaggedAs.addActionListener(actor);
-    fileMenu.add(saveUntaggedAs);
-
-    saveTaggedAs = new JMenuItem("Save Tagged File As ...");
-    saveTaggedAs.setMnemonic('T');
-    saveTaggedAs.setAccelerator(KeyStroke.getKeyStroke(java.awt.event.KeyEvent.VK_T, java.awt.Event.CTRL_MASK));
-    saveTaggedAs.addActionListener(actor);
-    saveTaggedAs.setEnabled(false);
-    fileMenu.add(saveTaggedAs);
-
-    fileMenu.add(new JSeparator());
-
-    JMenuItem exit = new JMenuItem("Exit");
-    exit.setMnemonic('x');
-    exit.setAccelerator(KeyStroke.getKeyStroke(java.awt.event.KeyEvent.VK_Q, java.awt.Event.CTRL_MASK));
-    exit.addActionListener(actor);
-    fileMenu.add(exit);
-
-
-    /**
-     * EDIT MENU
-     */
-
-    JMenuItem cut = new JMenuItem("Cut");
-    cut.setMnemonic('X');
-    cut.setAccelerator(KeyStroke.getKeyStroke(java.awt.event.KeyEvent.VK_X, java.awt.Event.CTRL_MASK));
-    cut.addActionListener(actor);
-    editMenu.add(cut);
-
-    JMenuItem copy = new JMenuItem("Copy");
-    copy.setMnemonic('C');
-    copy.setAccelerator(KeyStroke.getKeyStroke(java.awt.event.KeyEvent.VK_C, java.awt.Event.CTRL_MASK));
-    copy.addActionListener(actor);
-    editMenu.add(copy);
-
-    JMenuItem paste = new JMenuItem("Paste");
-    paste.setMnemonic('V');
-    paste.setAccelerator(KeyStroke.getKeyStroke(java.awt.event.KeyEvent.VK_V, java.awt.Event.CTRL_MASK));
-    paste.addActionListener(actor);
-    editMenu.add(paste);
-
-    JMenuItem clear = new JMenuItem("Clear");
-    clear.setMnemonic('C');
-    clear.setAccelerator(KeyStroke.getKeyStroke(java.awt.event.KeyEvent.VK_L, java.awt.Event.CTRL_MASK));
-    clear.addActionListener(actor);
-    editMenu.add(clear);
-
-
-    /**
-     * CLASSIFIER MENU
-     */
-
-    JMenuItem loadCRF = new JMenuItem("Load CRF From File");
-    loadCRF.setMnemonic('R');
-    loadCRF.setAccelerator(KeyStroke.getKeyStroke(java.awt.event.KeyEvent.VK_R, java.awt.Event.CTRL_MASK));
-    loadCRF.addActionListener(actor);
-    classifierMenu.add(loadCRF);
-
-    JMenuItem loadDefaultCRF = new JMenuItem("Load Default CRF");
-    loadDefaultCRF.setMnemonic('L');
-    loadDefaultCRF.setAccelerator(KeyStroke.getKeyStroke(java.awt.event.KeyEvent.VK_L, java.awt.Event.CTRL_MASK));
-    loadDefaultCRF.addActionListener(actor);
-    classifierMenu.add(loadDefaultCRF);
-
-    extract = new JMenuItem("Run NER");
-    extract.setMnemonic('N');
-    extract.setAccelerator(KeyStroke.getKeyStroke(java.awt.event.KeyEvent.VK_N, java.awt.Event.CTRL_MASK));
-    extract.addActionListener(actor);
-    classifierMenu.add(extract);
-
-    return menubar;
-  }
-
-
-  private class InputListener implements KeyListener {
-    public void keyPressed(KeyEvent e) {
-
-    }
-
-    public void keyReleased(KeyEvent e) {
-
-    }
-
-    public void keyTyped(KeyEvent e) {
-      saveTaggedAs.setEnabled(false);
-    }
-
-  }
-
-
-  private class ActionPerformer implements ActionListener {
-
-    public void actionPerformed(ActionEvent e) {
-      String com = e.getActionCommand();
-
-      if (com.equals("Open File")) {
-        File file = getFile(true);
-        if (file != null) {
-          openFile(file);
-        }
-      } else if (com.equals("Load URL")) {
-        String url = getURL();
-        if (url != null) {
-          openURL(url);
-        }
-      } else if (com.equals("Exit")) {
-        exit();
-      } else if (com.equals("Clear")) {
-        clearDocument();
-      } else if (com.equals("Cut")) {
-        cutDocument();
-      } else if (com.equals("Copy")) {
-        copyDocument();
-      } else if (com.equals("Paste")) {
-        pasteDocument();
-      } else if (com.equals("Load CRF From File")) {
-        File file = getFile(true);
-        if (file != null) {
-          loadClassifier(file);
-        }
-      } else if (com.equals("Load Default CRF")) {
-        loadClassifier(null);
-      } else if (com.equals("Run NER")) {
-        extract();
-      } else if (com.equals("Save Untagged File")) {
-        saveUntaggedContents(loadedFile);
-      } else if (com.equals("Save Untagged File As ...")) {
-        saveUntaggedContents(getFile(false));
-      } else if (com.equals("Save Tagged File As ...")) {
-        File f = getFile(false);
-        if (f != null) {
-          // i.e., they didn't cancel out of the file dialog
-          saveFile (f, taggedContents);
-        }
-      } else {
-        System.err.println("Unknown Action: "+e);
-      }
-    }
-  }
-
-  public File getFile(boolean open) {
-    File file = null;
-    int returnVal;
-    if (open) {
-      returnVal = fileChooser.showOpenDialog(frame);
-    } else {
-      returnVal = fileChooser.showSaveDialog(frame);
-    }
-    if(returnVal == JFileChooser.APPROVE_OPTION) {
-      file = fileChooser.getSelectedFile();
-      if (open && !checkFile(file)) { file = null; }
-    }
-    return file;
-  }
-
-  public void saveUntaggedContents(File file) {
-    try {
-      String contents;
-      if (editorPane.getContentType().equals("text/html")) {
-        contents = editorPane.getText();
-      } else {
-        Document doc = editorPane.getDocument();
-        contents = doc.getText(0, doc.getLength());
-      }
-      saveFile(file, contents);
-      saveUntagged.setEnabled(true);
-      loadedFile = file;
-    } catch (Exception e) {
-      throw new RuntimeException(e);
-    }
-  }
-
-  public static void saveFile(File file, String contents) {
-    StringUtils.printToFile(file, contents);
-  }
-
-  public String getURL() {
-    String url = JOptionPane.showInputDialog(frame, "URL: ", "Load URL", JOptionPane.QUESTION_MESSAGE);
-    return url;
-  }
-
-  public boolean checkFile(File file) {
-    if (file.isFile()) {
-      fileChooser.setCurrentDirectory(file.getParentFile());
-      return true;
-    } else {
-      String message = "File Not Found: "+file.getAbsolutePath();
-      displayError("File Not Found Error", message);
-      return false;
-    }
-  }
-
-  public void displayError(String title, String message) {
-    JOptionPane.showMessageDialog(frame, message, title, JOptionPane.ERROR_MESSAGE);
-  }
-
-  /** Load a classifier from a file or the default.
-   *  The default is specified by passing in <code>null</code>.
-   */
-  public void loadClassifier(File file) {
-    try {
-      if (file != null) {
-        classifier = CRFClassifier.getClassifier(file);
-      } else {
-        // default classifier in jar
-        classifier = CRFClassifier.getDefaultClassifier();
-      }
-    } catch (Throwable e) {
-      // we catch Throwable, since we'd also like to be able to get an
-      // OutOfMemoryError
-      String message;
-      if (file != null) {
-        message = "Error loading CRF: " + file.getAbsolutePath();
-      } else {
-        message = "Error loading default CRF";
-      }
-      System.err.println(message);
-      String title = "CRF Load Error";
-      String msg = e.toString();
-      if (msg != null) {
-        message += "\n" + msg;
-      }
-      displayError(title, message);
-      return;
-    }
-    removeTags();
-    buildTagPanel();
-    // buildExtractButton();
-    extractButton.setEnabled(true);
-    extract.setEnabled(true);
-  }
-
-  public void openFile(File file) {
-    openURL(file.toURI().toString());
-    loadedFile = file;
-    saveUntagged.setEnabled(true);
-  }
-
-  public void openURL(String url) {
-    try {
-      editorPane.setPage(url);
-    } catch (Exception e) {
-      System.err.println("Error loading |" + url + "|");
-      e.printStackTrace();
-      displayError("Error Loading URL " + url, "Message: " + e.toString());
-      return;
-    }
-    loadedFile = null;
-    String text = editorPane.getText();
-    taggedContents = null;
-    if ( ! editorPane.getContentType().equals("text/html")) {
-      editorPane.setContentType("text/rtf");
-      Document doc = editorPane.getDocument();
-      try {
-        doc.insertString(0, text, defaultAttrSet);
-      } catch (Exception e) {
-        throw new RuntimeException(e);
-      }
-      editorPane.revalidate();
-      editorPane.repaint();
-      editorPane.setEditable(true);
-      htmlContents = null;
-    } else {
-      editorPane.setEditable(false);
-      htmlContents = editorPane.getText();
-    }
-
-    saveUntagged.setEnabled(false);
-    saveTaggedAs.setEnabled(false);
-  }
-
-  private void removeTags() {
-    if (editorPane.getContentType().equals("text/html")) {
-      if (htmlContents != null) {
-        editorPane.setText(htmlContents);
-      }
-      editorPane.revalidate();
-      editorPane.repaint();
-    } else {
-      DefaultStyledDocument doc = (DefaultStyledDocument)editorPane.getDocument();
-      SimpleAttributeSet attr = new SimpleAttributeSet();
-      StyleConstants.setForeground(attr, Color.BLACK);
-      StyleConstants.setBackground(attr, Color.WHITE);
-      doc.setCharacterAttributes(0, doc.getLength(), attr, false);
-    }
-    saveTaggedAs.setEnabled(false);
-  }
-
-
-  private void extract() {
-    System.err.println("content type: "+editorPane.getContentType());
-    if ( ! editorPane.getContentType().equals("text/html")) {
-
-      DefaultStyledDocument doc = (DefaultStyledDocument)editorPane.getDocument();
-      String text = null;
-      try {
-        text = doc.getText(0, doc.getLength());
-      } catch (Exception e) {
-        e.printStackTrace();
-      }
-      String labeledText = classifier.classifyWithInlineXML(text);
-      taggedContents = labeledText;
-
-      Set<String> tags = classifier.labels();
-      String background = classifier.backgroundSymbol();
-      String tagPattern = "";
-      for (String tag : tags) {
-        if (tag.equals(background)) { continue; }
-        if (tagPattern.length() > 0) { tagPattern += "|"; }
-        tagPattern += tag;
-      }
-
-      Pattern startPattern = Pattern.compile("<("+tagPattern+")>");
-      Pattern endPattern = Pattern.compile("</("+tagPattern+")>");
-
-      String finalText = labeledText;
-
-      Matcher m = startPattern.matcher(finalText);
-      while (m.find()) {
-        int start = m.start();
-        finalText = m.replaceFirst("");
-        m = endPattern.matcher(finalText);
-        if (m.find()) {
-          int end = m.start();
-          String tag = m.group(1);
-          finalText = m.replaceFirst("");
-          AttributeSet attSet = getAttributeSet(tag);
-          try {
-            String entity = finalText.substring(start, end);
-            doc.setCharacterAttributes(start, entity.length(), attSet, false);
-          } catch (Exception ex) {
-            ex.printStackTrace();
-            System.exit(-1);
-          }
-          System.err.println(tag+": "+ finalText.substring(start, end));
-        } else {
-          // print error message
-        }
-        m = startPattern.matcher(finalText);
-      }
-      editorPane.revalidate();
-      editorPane.repaint();
-    } else {
-      String untaggedContents = editorPane.getText();
-      if (untaggedContents == null) { untaggedContents = ""; }
-      taggedContents = classifier.classifyWithInlineXML(untaggedContents);
-
-      Set<String> tags = classifier.labels();
-      String background = classifier.backgroundSymbol();
-      String tagPattern = "";
-      for (String tag : tags) {
-        if (tag.equals(background)) { continue; }
-        if (tagPattern.length() > 0) { tagPattern += "|"; }
-        tagPattern += tag;
-      }
-
-      Pattern startPattern = Pattern.compile("<("+tagPattern+")>");
-      Pattern endPattern = Pattern.compile("</("+tagPattern+")>");
-
-      String finalText = taggedContents;
-
-      Matcher m = startPattern.matcher(finalText);
-      while (m.find()) {
-        String tag = m.group(1);
-        String color = colorToHTML(tagToColorMap.get(tag));
-        String newTag = "<span style=\"background-color: "+color+"; color: white\">";
-        finalText = m.replaceFirst(newTag);
-        int start = m.start()+newTag.length();
-        Matcher m1 = endPattern.matcher(finalText);
-        m1.find(m.end());
-        String entity = finalText.substring(start, m1.start());
-        System.err.println(tag+": "+ entity);
-        finalText = m1.replaceFirst("</span>");
-        m = startPattern.matcher(finalText);
-      }
-      // System.out.println(finalText);
-      editorPane.setText(finalText);
-      editorPane.revalidate();
-      editorPane.repaint();
-
-      // System.err.println(finalText);
-    }
-    saveTaggedAs.setEnabled(true);
-  }
-
-  private AttributeSet getAttributeSet(String tag) {
-    MutableAttributeSet attr = new SimpleAttributeSet();
-    Color color = tagToColorMap.get(tag);
-    StyleConstants.setBackground(attr, color);
-    StyleConstants.setForeground(attr, Color.WHITE);
-    return attr;
-  }
-
-  public void clearDocument() {
-    editorPane.setContentType("text/rtf");
-    Document doc = new DefaultStyledDocument();
-    editorPane.setDocument(doc);
-    //    defaultAttrSet = ((StyledEditorKit)editorPane.getEditorKit()).getInputAttributes();
-    //    StyleConstants.setFontFamily(defaultAttrSet, "Lucinda Sans Unicode");
-    System.err.println("attr: "+defaultAttrSet);
-
-    try {
-      doc.insertString(0, " ", defaultAttrSet);
-    } catch (Exception ex) {
-      throw new RuntimeException(ex);
-    }
-
-    editorPane.setEditable(true);
-    editorPane.revalidate();
-    editorPane.repaint();
-
-    saveUntagged.setEnabled(false);
-    saveTaggedAs.setEnabled(false);
-
-    taggedContents = null;
-    htmlContents = null;
-    loadedFile = null;
-
-  }
-
-  public void cutDocument() {
-    editorPane.cut();
-    saveTaggedAs.setEnabled(false);
-  }
-
-  public void copyDocument() {
-    editorPane.copy();
-  }
-
-  public void pasteDocument() {
-    editorPane.paste();
-    saveTaggedAs.setEnabled(false);
-  }
-
-
-
-  public void exit() {
-    // ask if they're sure?
-    System.exit(-1);
-  }
-
-  private String initText = "In bringing his distinct vision to the Western genre, writer-director Jim Jarmusch has created a quasi-mystical avant-garde drama that remains a deeply spiritual viewing experience. After losing his parents and fianc\u00E9e, a Cleveland accountant named William Blake (a remarkable Johnny Depp) spends all his money and takes a train to the frontier town of Machine in order to work at a factory. Upon arriving in Machine, he is denied his expected job and finds himself a fugitive after murdering a man in self-defense. Wounded and helpless, Blake is befriended by Nobody (Gary Farmer), a wandering Native American who considers him to be a ghostly manifestation of the famous poet. Nobody aids Blake in his flight from three bumbling bounty hunters, preparing him for his final journey--a return to the world of the spirits.";
-  //  private String initText = "In";
-
-  private void buildContentPanel() {
-
-    editorPane = new JEditorPane ();
-    editorPane.setContentType("text/rtf");
-    editorPane.addKeyListener(new InputListener());
-
-    //    defaultAttrSet = ((StyledEditorKit)editorPane.getEditorKit()).getInputAttributes();
-    StyleConstants.setFontFamily(defaultAttrSet, "Lucida Sans");
-
-    Document doc = new DefaultStyledDocument();
-    editorPane.setDocument(doc);
-    try {
-      doc.insertString(0, initText, defaultAttrSet);
-    } catch (Exception ex) {
-      throw new RuntimeException(ex);
-    }
-
-    JScrollPane scrollPane = new JScrollPane(editorPane);
-    frame.getContentPane().add(scrollPane, BorderLayout.CENTER);
-
-    editorPane.setEditable(true);
-  }
-
-
-  private static String colorToHTML(Color color) {
-    String r = Integer.toHexString(color.getRed());
-    if (r.length() == 0) { r = "00"; }
-    else if (r.length() == 1) { r = "0" + r; }
-    else if (r.length() > 2) { System.err.println("invalid hex color for red"+r); }
-
-    String g = Integer.toHexString(color.getGreen());
-    if (g.length() == 0) { g = "00"; }
-    else if (g.length() == 1) { g = "0" + g; }
-    else if (g.length() > 2) { System.err.println("invalid hex color for green"+g); }
-
-    String b = Integer.toHexString(color.getBlue());
-    if (b.length() == 0) { b = "00"; }
-    else if (b.length() == 1) { b = "0" + b; }
-    else if (b.length() > 2) { System.err.println("invalid hex color for blue"+b); }
-
-    return "#"+r+g+b;
-  }
-
-  static class ColorIcon implements Icon {
-    Color color;
-
-    public ColorIcon(Color c) {
-      color = c;
-    }
-
-    public void paintIcon(Component c, Graphics g, int x, int y) {
-      g.setColor(color);
-      g.fillRect(x, y, getIconWidth(), getIconHeight());
-    }
-
-    public int getIconWidth() {
-      return 10;
-    }
-
-    public int getIconHeight() {
-      return 10;
-    }
-  }
-
-  private void buildExtractButton() {
-    if (extractButton == null) {
-      JPanel buttonPanel = new JPanel();
-      extractButton = new JButton("Run NER");
-      buttonPanel.add(extractButton);
-      frame.getContentPane().add(buttonPanel, BorderLayout.SOUTH);
-      extractButton.addActionListener(actor);
-    }
-  }
-
-  private void buildTagPanel() {
-
-    if (tagPanel == null) {
-      tagPanel = new JToolBar(SwingConstants.VERTICAL);
-      tagPanel.setFloatable(false);
-      frame.getContentPane().add(tagPanel, BorderLayout.EAST);
-    } else {
-      tagPanel.removeAll();
-    }
-
-    if (classifier != null) {
-
-      makeTagMaps();
-
-      Set<String> tags = classifier.labels();
-      String backgroundSymbol = classifier.backgroundSymbol();
-
-      for (String tag : tags) {
-        if (tag.equals(backgroundSymbol)) { continue; }
-        Color color = tagToColorMap.get(tag);
-        JButton b = new JButton(tag, new ColorIcon(color));
-        tagPanel.add(b);
-      }
-    }
-    tagPanel.revalidate();
-    tagPanel.repaint();
-  }
-
-  private void makeTagMaps() {
-
-    Set<String> tags = classifier.labels();
-    String backgroundSymbol = classifier.backgroundSymbol();
-    int numColors = tags.size() - 1;
-    Color[] colors = getNColors(numColors);
-    tagToColorMap = new HashMap<String, Color>();
-
-    int i = 0;
-    for (String tag : tags) {
-      if (tag.equals(backgroundSymbol)) { continue; }
-      if (tagToColorMap.get(tag) != null) { continue; }
-      tagToColorMap.put(tag, colors[i++]);
-    }
-  }
-
-
-  private static Color[] basicColors = new Color[]{new Color(204, 102, 0),
-                                                   new Color(102, 0, 102),
-                                                   new Color(204, 0, 102),
-                                                   new Color(153, 0, 0),
-                                                   new Color(153, 0, 204),
-                                                   new Color(255, 102, 0),
-                                                   new Color(255, 102, 153),
-                                                   new Color(204, 152, 255),
-                                                   new Color(102, 102, 255),
-                                                   new Color(153, 102, 0),
-                                                   new Color(51, 102, 51),
-                                                   new Color(0, 102, 255)};
-
-//   private static Color[] basicColors = new Color[]{new Color(153, 102, 153),
-//                                                    new Color(102, 153, 153),
-//                                                    new Color(153, 153, 102),
-//                                                    new Color(102, 102, 102),
-//                                                    new Color(102, 153, 102),
-//                                                    new Color(153, 102, 102),
-//                                                    new Color(204, 153, 51),
-//                                                    new Color(204, 51, 102),
-//                                                    new Color(255, 204, 0),
-//                                                    new Color(153, 0, 255),
-//                                                    new Color(204, 204, 204),
-//                                                    new Color(0, 255, 153)};
-
-//   private static Color[] basicColors = new Color[]{Color.BLUE,
-//                                     Color.GREEN,
-//                                     Color.RED,
-//                                     Color.ORANGE,
-//                                     Color.LIGHT_GRAY,
-//                                     Color.CYAN,
-//                                     Color.MAGENTA,
-//                                     Color.YELLOW,
-//                                     Color.RED,
-//                                     Color.GRAY,
-//                                     Color.PINK,
-//                                     Color.DARK_GRAY};
-
-
-  public static Color[] getNColors(int n) {
-    Color[] colors = new Color[n];
-    if (n <= basicColors.length) {
-      System.arraycopy(basicColors, 0, colors, 0, n);
-    } else {
-      int s = 255 / (int)Math.ceil(Math.pow(n, (1.0 / 3.0)));
-      int index = 0;
-      OUTER: for (int i = 0; i < 256; i += s) {
-        for (int j = 0; j < 256; j += s) {
-          for (int k = 0; k < 256; k += s) {
-            colors[index++] = new Color(i,j,k);
-            if (index == n) { break OUTER; }
-          }
-        }
-      }
-    }
-    return colors;
-  }
-
-  /** Run the GUI.  This program accepts no command-line arguments.
-   *  Everything is entered into the GUI.
-   */
-  public static void main(String[] args) {
-    //Schedule a job for the event-dispatching thread:
-    //creating and showing this application's GUI.
-    SwingUtilities.invokeLater(new Runnable() {
-        public void run() {
-          NERGUI gui = new NERGUI();
-          gui.createAndShowGUI();
-        }
-      });
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/ner-manifest.txt b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/ner-manifest.txt
deleted file mode 100644
index a84faf4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/ner-manifest.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-Manifest-Version: 1.0
-Created-By: Stanford JavaNLP
-Main-Class: edu.stanford.nlp.ie.crf.NERGUI
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/package.html b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/package.html
deleted file mode 100644
index 709d676..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/crf/package.html
+++ /dev/null
@@ -1,22 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
-<html>
-<body>
-A package for doing inference with conditional random fields.  This
-implements the common, standard case of a linear chain CRF of arbitrary
-order (though usually first order in practice) where each position can
-be labeled with one of a fixed set of classes.
-<p>
-Through the use of different
-<code>edu.stanford.nlp.ie.FeatureFactory</code> classes and different
-<code>edu.stanford.nlp.sequences.DocumentReaderAndWriter</code> classes,
-it can read data in various formats, and be customized for various
-sequence inference tasks.  Most of its use has been for Named Entity
-Recognition, but it has also been used for other applications such as
-Chinese word segmentation and OCR.
-<p>
-For more usage information, consult the Javadoc of the
-<code>CRFClassifier</code> class.
-
-@author Jenny Finkel
-</body>
-</html>
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/package.html b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/package.html
deleted file mode 100644
index 44c8faa..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/package.html
+++ /dev/null
@@ -1,224 +0,0 @@
-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
-         "http://www.w3.org/TR/html4/loose.dtd">
-<html>
-  <body>
-<p>
-This package implements various subpackages for information extraction.
-Some examples of use appear later in this description.
-At the moment, three types of information extraction are supported
-      (where some of these have internal variants):
-</p>
-<ol>
-<li>Regular expression based matching: These extractors are hand-written
-      and match whatever the regular expression matches.</li>
-<li>Hidden Markov model based extractors:  These can be either single
-	field extractors or two level HMMs where the individual
-	component models and how they are glued together is trained
-	separately.  These models are trained automatically, but require tagged
-	training data.</li>
-<li>Description extractor: This does higher level NLP analysis of
-	sentences (using a POS tagger and chunker) to find sentences
-	that describe an object.  This might be a biography of a person,
-	or a description of an animal.  This module is fixed: there is
-	nothing to write or train (unless one wants to start to change
-	its internal behavior).
-</ol>
-<p>
-There are some demonstrations of the stuff here which you can run (and several
-    other classes have <code>main()</code> methods which exhibit their
-    functionality):
-</p>
-<ol>
-<li><code>ExtractDemo</code> is a simple GUI front-end to the information
-	extraction components.  It isn't intended for serious use, but
-illustrates loading and using various extractors, and includes
-an interface to web search.  This can be done via Google (using the
-	Google API) or Altavista or other engines (using screen scraping).
-	The web search
-functionality is provided by the <code>edu.stanford.nlp.web</code>
-package.  You should try this out first (see the examples below).</li>
-<li><code>edu.stanford.nlp.ie.test.ExtractorTest</code> is a simple
-command line test of the
-information extraction components.  It extracts only from a file.</li>
-</ol>
-
-<h3>Usage examples</h3>
-<p>
-0. <i>Setup:</i> For all of these examples except 3., you need to be
-connected to the Internet, and for the application's web search module
-to be
-able to connect to search engines.  The web search
-functionality is provided by the supplied <code>edu.stanford.nlp.web</code>
-package.  How web search works is controlled
-by a <code>websearch.init</code> file in your current directory (or if
-      none is present, you will get search results from AltaVista).  If
-      you are registered to use the GoogleAPI, you should probably edit
-      this file so web queries can be done to Google using their SOAP
-      interface.  Even if not, you can specify additional or different
-      search engines to access in <code>websearch.init</code>.
-      A copy of this file is supplied in the distribution.  The
-<code>DescExtractor</code> in 4. also requires another init file so that
-it can use the include part-of-speech tagger.
-<p>
-1. Corporate Contact Information.  This illustrates simple information
-extraction from a web page.
-Using the included
-      <code>ExtractDemo.bat</code> or by hand run:
-<code>java edu.stanford.nlp.ie.ExtractDemo</code>
-</p>
-<ul>
-<li>Select as Extractor Directory the folder:
-<code>serialized-extractors/companycontact</code></li>
-<li>Select as an Ontology the one in
-<code>serialized-extractors/companycontact/Corporation-Information.kaon</code>
-</li>
-<li>Enter <code>Corporation</code> as the Concept to extract.</li>
-<li>You can then do various searches:
-<ul>
-<li>You can enter a URL, click <code>Extract</code>, and look at the results:
-<ul>
-<li><code>http://www.ziatech.com/</code></li>
-<li><code>http://www.cs.stanford.edu/</code></li>
-<li><code>http://www.ananova.com/business/story/sm_635565.html</code></li>
-</ul>
-The components will work reasonably well on clean-ish text pages like
-    this.  They work even better on text such as newswire or press
-releases, as one can demonstrate either over the web or using the
-    command line extractor</li>
-<li>You can do a search for a term and get extraction from the top
-search hits, by entering a term in the "Search for words" box and
-	    pressing "Extract":
-<ul>
-<li><code>Audiovox Corporation</code>
-</ul>
-Extraction is done over a number of pages from a search engine, and the
-	    results from each are shown.  Typically some of these pages
-	    will have suitable content to extract, and some just won't.
-</ul>
-</ul>
-
-<p>2. Corporate Contact Information merged.  This illustrates the addition
-of information merger across web pages.  Using the included
-      <code>MergeExtractDemo.bat</code> or similarly do:</p>
-<center><code>java edu.stanford.nlp.ie.ExtractDemo -m</code></center>
-<p>
-The <code>ExtractDemo</code> screen is similar, but adds a button to
-    Select a Merger.
-</p>
-<ul>
-<li>Select an Extractor Directory and Ontology as
-    above.</li>
-<li>Click on "Select Merger" and then navigate to
-<code>serialized-extractors/mergers</code> and Select the file
-<code>unscoredmerger.obj</code>.</li>
-<li>Enter the concept "Corporation" as before.
-<li>One can now do search as above, by URL or search, but Merger is only
-	appropriate to a word search with multiple results.   Try Search
-	for words:
-<ul>
-<li><code>Audiovox Corporation</code></li>
-</ul>
-and press "Extract".  Results gradually appear.  After all results have
-	been processed (this may take a few seconds), a Merged best
-	extracted information result will be produced and displayed as
-	the first of the results.  "Merged Instance" will appear on the
-	bottom line corresponding to it, rather than a URL.
-</ul>
-
-
-<p>3. Company names via direct use of an HMM information extractor.
-One can also train, load, and use HMM information extractors directly,
-	  without using any of the RDF-based KAON framework
-(<code>http://kaon.semanticweb.org/</code>) used by ExtractDemo.
-</p>
-<ul>
-<li>The file <code>edu.stanford.nlp.ie.hmm.Tester</code> illustrates the use
-	  of a pretrained HMM on data via the command line interface:
-<ul>
-<li><code>cd serialized-extractors/companycontact/</code></li>
-<li><code>java edu.stanford.nlp.ie.hmm.Tester cisco.txt company
-	      company-name.hmm</code></li>
-<li><code>java edu.stanford.nlp.ie.hmm.Tester EarningsReports.txt
-	      company company-name.hmm</code></li>
-<li><code>java edu.stanford.nlp.ie.hmm.Tester companytest.txt
-	      company company-name.hmm</code></li>
-</ul>
-  <p>
-The first shows the HMM running on an unmarked up file with a single
-	document.  The second shows a <code>Corpus</code> of several
-	documents, separated with ENDOFDOC, used as a document delimiter
-	inside a Corpus.  This second use of <code>Tester</code> expects to
-normally have an annotated corpus on which it can score its answers.
-Here, the corpus is unannotated, and so some of the output is
-	inappropriate, but it shows what is selected as the company name
-	for each document (it's <i>mostly</i> correct...).
-The final example shows it running on a corpus that does have answers
-marked in it.  It does the testing with the XML elements stripped, but
-	then uses them to evaluate correctness.
-  </p>
-</li>
-<li>To train one's own HMM, one needs data where one or
-	    more fields is annotated in the data in the style of an XML
-	    element, with all the documents in one file, separated by
-	    lines with <code>ENDOFDOC</code> on them.  Then one can
-	    train (and then test) as follows.   Training an HMM
-	    (optimizing all its probabilities) takes a <i>long</i> time
-	    (it depends on the speed of the computer, but 10 minutes or
-	so to adjust probabilities for a fixed structure, and often
-	hours if one additionally attempts structure learning).
-<ol>
-<li><code>cd edu/stanford/nlp/ie/training/</code></li>
-<li><code>java -server edu.stanford.nlp.ie.hmm.Trainer companydata.txt
-		  company mycompany.hmm</code></li>
-<li><code>java edu.stanford.nlp.ie.hmm.HMMSingleFieldExtractor Company
-		  mycompany.hmm mycompany.obj</code></li>
-<li><code>java edu.stanford.nlp.ie.hmm.Tester testdoc.txt company
-		  mycompany.hmm</code></li>
-</ol>
-The third step converts a serialized HMM into the serialized objects used
-	    in <code>ExtractDemo</code>.  Note that <code>company</code>
-	    in the second line must match the element name in the
-	    marked-up data that you will train on, while
-	    <code>Company</code> in the third line must match the
-	    relation name in the ontology over which you will extract with
-	    <code>mycompany.obj</code>.  These two names need not be the
-	    same.  The last step then runs the trained HMM on a file.
-</li>
-</ul>
-
-<p>4. Extraction of descriptions (such as biographical information about
-	  a person or a description of an animal).
-This does extraction of such descriptions
-from a web page.  This component uses a POS tagger, and looks for where
-	  to find a path to it in the file
-	  <code>descextractor.init</code> in the current directory.  So,
-	  you should be in the root directory of the current archive,
-	  which has such a file.  Double click on the included
-      <code>MergeExtractDemo.bat</code> in that directory, or by hand
-	  one can equivalently do:
-<code>java edu.stanford.nlp.ie.ExtractDemo -m</code>
-</p>
-<ul>
-<li>Select as Extractor Directory the folder:
-<code>serialized-extractors/description</code></li>
-<li>Select as an Ontology the one in
-<code>serialized-extractors/description/Entity-NameDescription.kaon</code>
-</li>
-<li>Click on "Select Merger" and then navigate to
-<code>serialized-extractors/mergers</code> and Select the file
-<code>unscoredmerger.obj</code>.</li>
-<li>Enter <code>Entity</code> as the Concept to extract.
-<li>You can then do various searches for people or animals by entering
-	    words in the "Search for words" box and pressing Extract:
-<ul>
-<li><code>Gareth Evans</code></li>
-<li><code>Tawny Frogmouth</code></li>
-<li><code>Christopher Manning</code></li>
-<li><code>Joshua Nkomo</code></li>
-</ul>
-The first search will be slower than subsequent searches, as it takes a
-	    while to load the part of speech tagger.
-</li>
-</ul>
-  </body>
-</html>
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/AcronymModel.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/AcronymModel.java
deleted file mode 100644
index a00bfa1..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/AcronymModel.java
+++ /dev/null
@@ -1,666 +0,0 @@
-package edu.stanford.nlp.ie.pascal;
-
-import java.util.*;
-import java.io.*;
- /**
-  * Scores Pascal challenge workshop information templates.
-  * This score reflects which fields are present/absent, how well acronyms
-  * agree with the names and URLs they correspond to.
-  *
-  * @author Jamie Nicolson
-  */
-public class AcronymModel implements RelationalModel {
-
-  
-  private static final double HIGH_PROB = 1.0;
-  private static final double LOW_PROB = 0.0;
-  private static boolean DEBUG= false;
-
-  private static final String acronymStatistics =
-    "workshopname workshopacronym workshophomepage conferencename conferenceacronym conferencehomepage\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00549450549450549\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.0521978021978022\n" +
-    "0.00274725274725275\n" +
-    "0.0357142857142857\n" +
-    "0.00549450549450549\n" +
-    "0.021978021978022\n" +
-    "0.010989010989011\n" +
-    "0.0357142857142857\n" +
-    "0.0302197802197802\n" +
-    "0.0824175824175824\n" +
-    "0.00549450549450549\n" +
-    "0.043956043956044\n" +
-    "0.010989010989011\n" +
-    "0.021978021978022\n" +
-    "0.00549450549450549\n" +
-    "0.0521978021978022\n" +
-    "0.0412087912087912\n" +
-    "0.0467032967032967\n" +
-    "0.00274725274725275\n" +
-    "0.010989010989011\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.00274725274725275\n" +
-    "0.0137362637362637\n" +
-    "0.00824175824175824\n" +
-    "0.167582417582418\n" +
-    "0.00549450549450549\n" +
-    "0.0494505494505494\n" +
-    "0.00824175824175824\n" +
-    "0.0164835164835165\n" +
-    "0.00549450549450549\n" +
-    "0.0604395604395604\n" +
-    "0.0467032967032967\n";
-                                                                                
-  private Prior priors;
-
-  /**
-   * Scores the partial template containing only the fields relevant to the score.
-   * @param temp the {@link InfoTemplate} to be scored.
-   * @return the model's score
-   */
-  public double computeProb(InfoTemplate temp){
-    return computeProb(temp.wname,temp.wacronym,temp.cname,temp.cacronym,
-      temp.whomepage, temp.chomepage);
-  }
-/**
- * Scores the {@link PascalTemplate} using the fields it contains which are relevant to the score.
- * (Ignores location and date fields.)
- * @param temp the full {@link PascalTemplate} to be scored
- * @return the model's score
- */
-
-  public double computeProb(PascalTemplate temp) {
-    double prob = 1.0;
-
-    String wsname = temp.getValue("workshopname");
-    String confname = temp.getValue("conferencename");
-    String wsacronym = temp.getValue("workshopacronym");
-    String confacronym = temp.getValue("conferenceacronym");
-    String wsurl = temp.getValue("workshophomepage");
-    String confurl = temp.getValue("conferencehomepage");
-    return computeProb(wsname, wsacronym,confname,confacronym, wsurl, confurl);
-  }
-
-   /**
-    * @throws IOException if the acronym statistics/weights can't be read from file.
-    */
-   public AcronymModel() throws IOException {
-     priors = new Prior(new BufferedReader(new StringReader(acronymStatistics)));
-     features = new Feature[]{new AcronymModel.LettersAligned(), new AcronymModel.BegWord(), new AcronymModel.EndWord(), new AcronymModel.AfterAligned(), new AcronymModel.AlignedPerWord(), new AcronymModel.WordsSkipped(), new AcronymModel.SyllableBoundary()};
-     weights = new double[]{// here's weights from a bunch of training examples
-       //-4.1004, 18.4127, 0.1789, 16.3189, 0.8818, -0.0725, -0.6550
-       //-12.4082, 18.3893, 2.1826, 18.8487, 0.5042, -0.1231, 1.8876
-       -11.8880, 14.4534, -2.6316, 24.1838, -2.2320, -0.2508, 4.3501
-
-     };
-     //intercept = -14.1449;
-     //intercept = -7.4882;
-     intercept = -2.2062;
-   }
-
-  private double computeProb(String wsname, String wsacronym, String confname,
-                            String confacronym, String wsurl, String confurl){
-
-    HashSet<String> presentFields = new HashSet<String>();
-    if( wsname != null && !wsname.equals("null") && !wsname.equals("") )
-      presentFields.add("workshopname");
-    if( wsacronym != null && !wsacronym.equals("null") && !wsacronym.equals(""))
-      presentFields.add("workshopacronym");
-    if( confname != null && !confname.equals("null")
-        && !confname.equals(""))
-      presentFields.add("conferencename");
-    if( confacronym != null && !confacronym.equals("null")
-        && !confacronym.equals(""))
-      presentFields.add("conferenceacronym");
-    if( wsurl != null && !wsurl.equals("null") && !wsurl.equals(""))
-      presentFields.add("workshophomepage");
-    if( confurl != null && !confurl.equals("null") && !confurl.equals(""))
-      presentFields.add("conferencehomepage");
-
-    //if the workshop and conference have the same acronym we return 0.
-    if(presentFields.contains("conferenceacronym") &&
-       presentFields.contains("workshopacronym") &&
-       confacronym.equals(wsacronym)){
-
-      return 0.0;
-    }
-
-    double prob = priors.get(presentFields);
-    //System.out.println("Setting prior to " + prob + " based on the following "+
-    // "fields being present: " + presentFields.toString());
-    if( wsname != null && wsacronym != null ) {
-      if(DEBUG)System.err.println("computing similarity for workshop");
-      prob *= similarity(wsname, wsacronym);
-    } else {
-      if(DEBUG)System.err.println("NOT computing similarity for workshop");
-    }
-
-    if( confname != null && confacronym != null ) {
-      if(DEBUG)System.err.println("computing similarity for conference");
-      prob *= similarity(confname, confacronym);
-    } else {
-      if(DEBUG)System.err.println("NOT computing similarity for conference");
-    }
-
-    if( confacronym != null && confurl != null ) {
-      if( acronymMatchesURL(confacronym, confurl) ) {
-        prob *= probMatchFromAcronymAndURLMatch;
-      } else {
-        prob *= probMatchFromAcronymAndURLNoMatch;
-      }
-    }
-
-    if( wsacronym != null && wsurl != null ) {
-      if( acronymMatchesURL(wsacronym, wsurl) ) {
-        prob *= probMatchFromAcronymAndURLMatch;
-      } else {
-        prob *= probMatchFromAcronymAndURLNoMatch;
-      }
-    }
-    return prob;
-  }
-
-  private static boolean acronymMatchesURL(String ac, String url) {
-    String lowerURL = url.toLowerCase();
-    String strippedAc = (new String(AcronymModel.stripAcronym(ac))).toLowerCase();
-
-    return lowerURL.indexOf(strippedAc) != -1;
-  }
-
-   private static final double probMatchFromAcronymAndURLMatch = .23934426;
-   private static final double probMatchFromAcronymAndURLNoMatch = .052516411378;
-
-   /**
-    * Finds longest subsequent string of digits. Returns empty string
-    * if there aren't any digits.
-    */
-   private static String acronymNumber(String acronym) {
-     return "";
-   }
-
-   public static double URLSimilarity(String URL, String acronym) {
-     String strippedAc = new String(stripAcronym(acronym));
-     String acNumber = acronymNumber(acronym);
-     return 0.0;
-   }
-
-   /**
-    * @return the "rich similarity" score
-    */
-   public double similarity(String name, String acronym) {
-     return RichSimilarity(name, acronym);
-   }
-     /**
-      *
-      * @return the "naive similarity" score
-      */
-   public double naiveSimilarity(String name, String acronym) {
-     double similarity = LOW_PROB;
-     String[] nameWords = splitOnWhitespace(name);
-     String[] acronymWords = splitOnWhitespace(acronym);
-
-     // first put together the letters in the acronym
-     char[] acLetters = allLetters(acronymWords);
-
-     // first let's try pulling the first letters from the name, and combining them to get the acronym
-     char[] nameFirstLetters = firstLetters(nameWords);
-
-     if (firstLetterInOrderMatch(nameFirstLetters, acLetters)) {
-       // the letters in acronym can be constructed from the first letters in the name, in order
-       similarity = HIGH_PROB;
-     }
-
-     if (DEBUG) {
-       System.err.println("Similarity between (" + name + ") and (" + acronym + ") is " + similarity);
-     }
-     return similarity;
-   }
-
-   /**
-    *
-    * @return the Hearst similarity score
-    */
-   public double HearstSimilarity(String name, String acronym) {
-     char[] namechars = name.toLowerCase().toCharArray();
-     char[] acrochars = acronym.toLowerCase().toCharArray();
-
-     int nindex = namechars.length - 1;
-     for (int aindex = acrochars.length - 1; aindex >= 0; --aindex) {
-       if (!Character.isLetter(acrochars[aindex])) {
-         continue;
-       }
-       while ((nindex >= 0 && namechars[nindex] != acrochars[aindex]) || (aindex == 0 && nindex > 0 && Character.isLetterOrDigit(namechars[nindex - 1]))) {
-         nindex--;
-       }
-       if (nindex < 0) {
-         //  System.err.println("\"" + name + "\" does NOT match \"" +
-         //     acronym + "\"\n");
-         return 0;
-       }
-
-       nindex--;
-     }
-
-     //System.err.println("\"" + name + "\" matches \"" + acronym + "\"\n");
-     return 1.0;
-   }
-
-   public static interface Feature {
-     public double value(Alignment alignment);
-
-     public String toString();
-   }
-
-   public static class LettersAligned implements Feature {
-     public String toString() {
-       return "LettersAligned";
-     };
-     public double value(Alignment alignment) {
-       int numAligned = 0;
-       for (int i = 0; i < alignment.pointers.length; ++i) {
-         if (alignment.pointers[i] != -1) {
-           numAligned++;
-         }
-       }
-       double pct = (double) numAligned / (double) alignment.pointers.length;
-       if (DEBUG)
-         System.out.println("LettersAligned=" + pct);
-       return pct;
-     }
-   }
-
-    public static class BegWord implements Feature {
-        public String toString() { return "BegWord"; };
-        public double value(Alignment alignment) {
-            int begAligned = 0;
-            for( int s = 0; s < alignment.pointers.length; ++s) {
-                int idx = alignment.pointers[s];
-                if( idx == 0 ) {
-                    begAligned++;
-                } else if( idx > 0) {
-                    char cur = alignment.longForm[idx];
-                    char prev = alignment.longForm[idx-1];
-                    if( !Character.isLetterOrDigit(prev) &&
-                        Character.isLetterOrDigit(cur) )
-                    {
-                        begAligned++;
-                    }
-                }
-            }
-            return (double)begAligned / (double)alignment.shortForm.length;
-        }
-    }
-
-    public static class EndWord implements Feature {
-        public String toString() { return "EndWord"; };
-        public double value(Alignment alignment) {
-            int endAligned = 0;
-            for( int s = 0; s < alignment.pointers.length; ++s) {
-                int idx = alignment.pointers[s];
-                if( idx == alignment.longForm.length-1 ) {
-                    endAligned++;
-                } else if( idx >= 0) {
-                    char cur = alignment.longForm[idx];
-                    char next = alignment.longForm[idx+1];
-                    if( !Character.isLetterOrDigit(next) &&
-                        Character.isLetterOrDigit(cur) )
-                    {
-                        endAligned++;
-                    }
-                }
-            }
-            return (double)endAligned / (double)alignment.shortForm.length;
-        }
-    }
-
-    /**
-     * Percent of letters aligned immediately after another aligned letter.
-     */
-    public static class AfterAligned implements Feature {
-      public String toString() { return "AfterAligned"; }
-
-      public double value(Alignment alignment) {
-        int numAfter = 0;
-        for( int i = 1; i < alignment.pointers.length; ++i) {
-          if( alignment.pointers[i] == alignment.pointers[i-1] + 1 ) {
-            numAfter++;
-          }
-        }
-        return (double)numAfter / (double)alignment.shortForm.length;
-      }
-    }
-
-    private static class RunningAverage {
-      double average;
-      int numSamples;
-
-      public RunningAverage() {
-        average = 0.0;
-        numSamples = 0;
-      }
-
-      public void addSample(double sample) {
-        average = (numSamples * average) + sample;
-        numSamples++;
-        average /= numSamples;
-      }
-
-      public double getAverage() {
-        return average;
-      }
-
-      public double getNumSammples() {
-        return numSamples;
-      }
-    }
-
-    /**
-     * Average number of aligned letters per word.
-     */
-    public static class AlignedPerWord implements Feature {
-      public String toString() { return "AlignedPerWord"; }
-
-      public double value(Alignment alignment) {
-/*
-        RunningAverage alignedPerWord = new RunningAverage();
-        boolean inWord = false;
-        int alignCount = 0;
-        int sidx = 0;
-        for(int lidx = 0; lidx < alignment.longForm.length; ++lidx ) {
-          char cur = alignment.longForm[lidx];
-          if( Character.isLetterOrDigit(cur) && !inWord ) {
-            // beginning of word
-            inWord = true;
-          } else if( inWord && !Character.isLetterOrDigit(cur) ) {
-            // end of word
-            alignedPerWord.addSample(alignCount);
-            alignCount = 0;
-            inWord = false;
-          }
-
-          while( sidx < alignment.pointers.length &&
-                 alignment.pointers[sidx] < lidx )
-            sidx++;
-
-          if( sidx < alignment.pointers.length &&
-              alignment.pointers[sidx] == lidx && inWord)
-          {
-            alignCount++;
-          }
-        }
-        if( inWord ) {
-          // end of last word
-          alignedPerWord.addSample(alignCount);
-        }
-
-        return alignedPerWord.getAverage();
-*/
-        boolean inWord = false;
-        int wordCount = 0;
-        for(int lidx = 0; lidx < alignment.longForm.length; ++lidx ) {
-          char cur = alignment.longForm[lidx];
-          if( Character.isLetterOrDigit(cur) && !inWord ) {
-            // beginning of word
-            ++wordCount;
-            inWord = true;
-          } else if( inWord && !Character.isLetterOrDigit(cur) ) {
-            // end of word
-            inWord = false;
-          }
-        }
-        int alignCount = 0;
-        for( int sidx = 0; sidx < alignment.pointers.length; ++sidx) {
-          if( alignment.pointers[sidx] != -1 ) {
-            ++alignCount;
-          }
-        }
-        if( wordCount == 0 ) {
-          return 0;
-        } else {
-          return (double)alignCount / (double)wordCount;
-        }
-      }
-    }
-
-    public static class WordsSkipped implements Feature {
-        public String toString() { return "WordsSkipped"; };
-        public double value(Alignment alignment) {
-            int wordsSkipped = 0;
-            int wordsAligned = 0;
-            boolean inWord = false;
-            boolean gotAlignedChar = false;
-            boolean []isAligned = new boolean[alignment.longForm.length];
-            for( int s = 0; s < alignment.pointers.length; ++s ) {
-                if( alignment.pointers[s] != -1 ) {
-                    isAligned[alignment.pointers[s]] = true;
-                }
-            }
-            for( int l = 0; l < alignment.longForm.length; ++l ) {
-                char cur = alignment.longForm[l];
-                if( inWord ) {
-                    if( !Character.isLetterOrDigit(cur)) {
-                        // just finished a word
-                        if( gotAlignedChar ) {
-                            wordsAligned++;
-                        } else {
-                            wordsSkipped++;
-                        }
-                        inWord = false;
-                    }
-                } else {
-                    if( Character.isLetterOrDigit(cur)) {
-                        inWord = true;
-                        gotAlignedChar = false;
-                    }
-                }
-                if( isAligned[l] ) gotAlignedChar = true;
-            }
-            if( inWord ) {
-                if( gotAlignedChar ) {
-                    wordsAligned++;
-                } else {
-                    wordsSkipped++;
-                }
-            }
-            if(DEBUG)System.out.println("Words skipped: " + wordsSkipped + "/" +
-                (wordsSkipped + wordsAligned) );
-            return wordsSkipped;
-        }
-    }
-
-    public static class SyllableBoundary implements Feature {
-        public String toString() { return "SyllableBoundary"; };
-        TeXHyphenator teXHyphenator = new TeXHyphenator();
-        public SyllableBoundary() throws IOException {
-          teXHyphenator.loadDefault();
-        }
-        public double value(Alignment alignment) {
-          char [] lcLongForm =
-            (new String(alignment.longForm)).toLowerCase().toCharArray();
-          boolean [] breakPoints = teXHyphenator.findBreakPoints(lcLongForm);
-          int numSylAligned = 0;
-          for( int i = 0; i < alignment.pointers.length; ++i ) {
-            if( alignment.pointers[i] != -1 &&
-                breakPoints[alignment.pointers[i]] )
-            {
-              numSylAligned++;
-            }
-          }
-          return (double)numSylAligned / (double)alignment.pointers.length;
-        }
-    }
-
-    private final Feature[] features;
-
-    private final double[] weights;
-    private final double intercept;
-
-    public static char[] stripAcronym(String acronym) {
-        char [] raw = acronym.toCharArray();
-        char [] firstTry = new char[raw.length];
-        int outIdx = 0;
-        for( int inIdx = 0; inIdx < raw.length; ++inIdx) {
-            if( Character.isLetter(raw[inIdx]) ) {
-                firstTry[outIdx++] = raw[inIdx];
-            }
-        }
-        if( outIdx == firstTry.length ) {
-          if(DEBUG)  System.out.println("Converted \"" + acronym + "\" to \"" +
-                (new String(firstTry)) + "\"\n");
-            return firstTry;
-        } else {
-            char [] polished = new char[outIdx];
-            System.arraycopy(firstTry, 0, polished, 0, outIdx);
-          if(DEBUG)  System.out.println("Converted \"" + acronym + "\" to \"" +
-                (new String(polished)) + "\"\n");
-            return polished;
-        }
-    }
-        
-
-    public double RichSimilarity(String name, String acronym) {
-        AlignmentFactory fact = new AlignmentFactory(
-            name.toCharArray(), stripAcronym(acronym) );
-
-        double maxprob = 0.0;
-        Iterator iter = fact.getAlignments();
-        while(iter.hasNext()) {
-            Alignment align = (Alignment) iter.next();
-
-            double [] featureVals = new double[features.length];
-            for( int f = 0; f < features.length; ++f) {
-                featureVals[f] = features[f].value(align);
-            }
-
-            // compute dotproduct and sigmoid
-            double dotprod = dotproduct(weights, featureVals) + intercept;
-            double exp = Math.exp(dotprod);
-            double prob = exp / (1 + exp);
-
-            // align.print();
-            //System.out.println("Prob: " + prob + "\n-----------\n");
-
-            if( prob > maxprob ){
-                maxprob = prob;
-            }
-        }
-
-        return maxprob;
-    }
-
-    private static double dotproduct(double[] one, double[]two) {
-        double sum = 0.0;
-        for( int i = 0; i < one.length; ++i) {
-            double product = one[i] * two[i];
-            if(DEBUG)System.out.println("product: " + product);
-            sum += product;
-        }
-        if(DEBUG)System.out.println("sum: " + sum);
-        return sum;
-    }
-
-    private static final String[] stringArrayType = new String[0];
-
-    private static String[] splitOnWhitespace(String words) {
-        String[] firstCut = words.split("\\s+");
-
-        ArrayList<String> wordList = new ArrayList<String>(firstCut.length);
-        for( int i = 0; i < firstCut.length; ++i ) {
-            if( firstCut[i].length() > 0 ) {
-                wordList.add(firstCut[i]);
-            }
-        }
-        return wordList.toArray(stringArrayType);
-    }
-
-    private static boolean firstLetterInOrderMatch(char[] nameFirstLetters, char[] acLetters) {
-        int nameIdx = 0;
-        int acIdx = 0;
-
-        for( ; acIdx < acLetters.length; ++acIdx) {
-            while( nameIdx < nameFirstLetters.length && nameFirstLetters[nameIdx] != acLetters[acIdx] ) {
-                ++nameIdx;
-            }
-            if( nameIdx == nameFirstLetters.length ) {
-                return false;
-            }
-        }
-        return true;
-    }
-
-    private static char[] allLetters(String[] acronym) {
-        StringBuffer sb = new StringBuffer();
-        for( int s = 0; s < acronym.length; ++s ) {
-            String acr = acronym[s];
-            for(int c = 0; c < acr.length(); ++c ) {
-                char ch = acr.charAt(c);
-                if( Character.isLetter( ch ) ) {
-                    sb.append(ch);
-                }
-            }
-        }
-        return sbToChars(sb);
-    }
-
-    private static char[] firstLetters(String[] name) {
-        StringBuffer sb = new StringBuffer(name.length);
-        for( int s = 0; s < name.length; ++s) {
-            char c = name[s].charAt(0);
-            if( Character.isLetter(c) ) {
-                sb.append(c);
-            }
-        }
-        return sbToChars(sb);
-    }
-
-    private static char[] sbToChars(StringBuffer sb) {
-        char[] letters = new char[sb.length()];
-        sb.getChars(0, sb.length(), letters, 0);
-        return letters;
-    }
-
-  public static void main(String[] args) throws Exception {
-
-    AcronymModel am = new AcronymModel();
-    String s1 = args[0];
-    String s2 = args[1];
-    System.out.println("Hearst:  "+am.HearstSimilarity(s1, s2));
-    System.out.println("naive:   "+am.naiveSimilarity(s1, s2));
-    System.out.println("Rich:    "+am.RichSimilarity(s1, s2));
-    System.out.println("default: "+am.similarity(s1, s2));
-
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/Alignment.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/Alignment.java
deleted file mode 100644
index 7d26608..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/Alignment.java
+++ /dev/null
@@ -1,113 +0,0 @@
-package edu.stanford.nlp.ie.pascal;
-
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.io.PrintWriter;
-import java.util.Arrays;
-
-/**
- * Container class for aligning acronyms.
- *
- * @author Jamie Nicolson
- */
-
-public class Alignment {
-  public char[] longForm;
-  public char[] shortForm;
-  public int[] pointers;
-
-  public Alignment(char[] longForm, char[] shortForm, int[] pointers) {
-    this.longForm = longForm;
-    this.shortForm = shortForm;
-    this.pointers = pointers;
-  }
-
-  public void serialize(PrintWriter writer) {
-    writer.println(new String(longForm));
-    writer.println(new String(shortForm));
-    StringBuffer sb = new StringBuffer();
-    for (int i = 0; i < pointers.length; ++i) {
-      sb.append(pointers[i] + " ");
-    }
-    writer.println(sb.toString());
-  }
-
-  public Alignment(BufferedReader reader) throws IOException {
-    String line;
-    line = reader.readLine();
-    if (line == null) {
-      throw new IOException();
-    }
-    longForm = line.toCharArray();
-    line = reader.readLine();
-    if (line == null) {
-      throw new IOException();
-    }
-    shortForm = line.toCharArray();
-    line = reader.readLine();
-    if (line == null) {
-      throw new IOException();
-    }
-    String[] pstrings = line.split("\\s+");
-    if (pstrings.length != shortForm.length) {
-      throw new IOException("Number of pointers != size of short form");
-    }
-    pointers = new int[pstrings.length];
-    for (int i = 0; i < pointers.length; ++i) {
-      pointers[i] = Integer.parseInt(pstrings[i]);
-    }
-  }
-
-  public void print() {
-    System.out.println(toString());
-  }
-
-  @Override
-  public String toString() {
-    return toString("");
-  }
-
-  private static final char[] spaces = "                      ".toCharArray();
-
-  public String toString(String prefix) {
-    StringBuffer buf = new StringBuffer();
-    buf.append(prefix);
-    buf.append(longForm);
-    buf.append("\n");
-    buf.append(spaces, 0, prefix.length());
-    int l = 0;
-    for (int s = 0; s < shortForm.length; ++s) {
-      if (pointers[s] == -1) {
-        continue;
-      }
-      for (; l < longForm.length && pointers[s] != l; ++l) {
-        buf.append(" ");
-      }
-      if (l < longForm.length) {
-        buf.append(shortForm[s]);
-        ++l;
-      }
-    }
-    return buf.toString();
-  }
-
-  @Override
-  public boolean equals(Object o) {
-    if (o == null || !(o instanceof Alignment)) {
-      return false;
-    }
-    Alignment cmp = (Alignment) o;
-
-    return Arrays.equals(longForm, cmp.longForm) && Arrays.equals(shortForm, cmp.shortForm) && Arrays.equals(pointers, cmp.pointers);
-  }
-
-  @Override
-  public int hashCode() {
-    int code = 0;
-    for (int i = 0; i < pointers.length; ++i) {
-      code += pointers[i];
-      code *= 31;
-    }
-    return code;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/AlignmentFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/AlignmentFactory.java
deleted file mode 100644
index 611f560..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/AlignmentFactory.java
+++ /dev/null
@@ -1,216 +0,0 @@
-package edu.stanford.nlp.ie.pascal;
-
-import java.util.*;
-/**
- * Generates {@link Alignment} objects for acronym alignment.
- *
- * @author Jamie Nicolson
- */
-public class AlignmentFactory {
-
-  public static final byte SHIFT_LONG = 1;
-  public static final byte SHIFT_SHORT = 2;
-  public static final byte SHIFT_BOTH = 4;
-
-  private char[] longForm;
-  private char[] lcLongForm;
-  private  char[] shortForm;
-  private  char[] lcShortForm;
-  private  int [][]alignMatrix;
-  private byte [][]backMatrix;
-  private HashSet<Alignment> alignments;
-
-  public AlignmentFactory(String longForm, String shortForm) {
-    this(longForm.toCharArray(), shortForm.toCharArray());
-  }
-
-  public static char[] toLower(char []in) {
-    char[] out = new char[in.length];
-    for(int i = 0; i < in.length; ++i) {
-      out[i] = Character.toLowerCase(in[i]);
-    }
-    return out;
-  }
-
-  public AlignmentFactory(char[] longForm, char[] shortForm) {
-    this.longForm = longForm;
-    this.lcLongForm = toLower(longForm);
-    this.shortForm = shortForm;
-    this.lcShortForm = toLower(shortForm);
-
-    alignMatrix = new int[lcLongForm.length][lcShortForm.length];
-    backMatrix = new byte[lcLongForm.length][lcShortForm.length];
-    for( int l = 0; l < lcLongForm.length; ++l) {
-      for( int s = 0; s < lcShortForm.length; ++s) {
-        int match = (lcLongForm[l] == lcShortForm[s]) ? 1 : 0;
-        int froml = (l == 0) ? 0 : alignMatrix[l-1][s];
-        int froms = (s == 0) ? 0 : alignMatrix[l][s-1];
-        int frommatch =
-                ((l==0 || s==0) ? 0 : alignMatrix[l-1][s-1]) + match;
-        int max = Math.max(froml, Math.max(froms, frommatch));
-        byte backp = 0;
-        if( froml == max  ) backp |= SHIFT_LONG;
-        if( froms == max  ) backp |= SHIFT_SHORT;
-        if( match == 1 && frommatch == max ) backp |= SHIFT_BOTH;
-        backMatrix[l][s] = backp;
-        alignMatrix[l][s] = max;
-      }
-    }
-
-    alignments = new HashSet<Alignment>();
-    int[] pointers = new int[lcShortForm.length];
-    Arrays.fill(pointers, -1);
-
-    if( lcLongForm.length > 0 && lcShortForm.length > 0 ) {
-      addCount = 0;
-      //initListMatrix();
-      findAlignments(pointers, lcLongForm.length-1, lcShortForm.length-1);
-      //listMatrix = null;
-
-    }
-  }
-
-  public Iterator<Alignment> getAlignments() {
-    return alignments.iterator();
-  }
-
-  public ArrayList<Alignment> getAlignmentsList() {
-    return new ArrayList<Alignment>(alignments);
-  }
-
-  public static String dumpIntArray(int []a) {
-    StringBuilder buf = new StringBuilder();
-    buf.append('[');
-    for (int anA : a) {
-      buf.append(anA).append(' ');
-    }
-    buf.append(']');
-    return buf.toString();
-  }
-
-  int addCount;
-
-/*
-    LinkedList [] [] listMatrix;
-
-    private void initListMatrix() {
-      listMatrix = new LinkedList[][lcLongForm.length];
-      for( int i = 0; i < lcLongForm.length; i++) {
-        listMatrix[i] = new LinkedList[lcShortForm.length];
-      }
-    }
-*/
-
-/*
-    private void findAlignments(int l, int s) {
-        if( listMatrix[l][s] != null )
-          return;
-
-        byte backp = backMatrix[l][s];
-
-        listMatrix[l][s] = new LinkedList();
-
-        if( alignMatrix[l][s] == 0 ) {
-            listMatrix[l][s].add( new int[shortForm.length] );
-            return;
-        }
-
-        if( (backp & SHIFT_BOTH) != 0 ) {
-            assert( lcLongForm[l] == lcShortForm[s] );
-            findAlignments(l-1,s-1);
-            LinkedList from = listMatrix[l-1][s-1];
-            Iterator iter = from.iterator();
-            while(iter.hasNext()) {
-              int[] ref = (int[]) iter.next();
-              int[] cpy = ref.clone();
-              cpy[s] = l;
-              listMatrix[l][s].add(cpy);
-            }
-        }
-
-        if( (backp & SHIFT_LONG) != 0 ) {
-            if( l != 0 ) {
-              findAlignments(l-1, s);
-              Iterator iter = listMatrix[l-1][s];
-              while(iter.hasNext()) {
-                listMatrix[l][s].add( iter.next() );
-              }
-            } else {
-              listMatrix[l][s].add( new int[shortForm.length] );
-            }
-        }
-
-        if( (backp & SHIFT_SHORT) != 0 ) {
-            backp &= ~SHIFT_SHORT;
-            int[] ptrcpy = (int[]) ((backp == 0) ? pointers : pointers.clone());
-            if( s == 0 ) {
-                ++addCount;
-                alignments.add( new Alignment(longForm, shortForm, ptrcpy) );
-            } else {
-                findAlignments(ptrcpy, l, s-1);
-            }
-        }
-
-        if( lcLongForm[l] == lcShortForm[s] )
-            assert( (backMatrix[l][s] & SHIFT_BOTH) != 0);
-*/
-
-  private void findAlignments(int[]pointers, int lg, int s)
-  {
-    byte backp = backMatrix[lg][s];
-
-    if( alignMatrix[lg][s] == 0 ) {
-      ++addCount;
-      alignments.add( new Alignment(longForm, shortForm, pointers) );
-      return;
-    }
-
-    if( (backp & SHIFT_LONG)!= 0 ) {
-      backp &= ~SHIFT_LONG;
-      int[] ptrcpy = ((backp == 0) ? pointers : pointers.clone());
-      if( lg == 0 ) {
-        ++addCount;
-        alignments.add( new Alignment(longForm, shortForm, ptrcpy) );
-      } else {
-        findAlignments(ptrcpy, lg-1, s);
-      }
-    }
-
-    if( (backp & SHIFT_SHORT) != 0 ) {
-      backp &= ~SHIFT_SHORT;
-      int[] ptrcpy = ((backp == 0) ? pointers : pointers.clone());
-      if( s == 0 ) {
-        ++addCount;
-        alignments.add( new Alignment(longForm, shortForm, ptrcpy) );
-      } else {
-        findAlignments(ptrcpy, lg, s-1);
-      }
-    }
-
-    if( lcLongForm[lg] == lcShortForm[s] )
-      assert( (backMatrix[lg][s] & SHIFT_BOTH) != 0);
-
-    if( (backp & SHIFT_BOTH) != 0 ) {
-      assert( lcLongForm[lg] == lcShortForm[s] );
-      pointers[s] = lg;
-      if( lg == 0 || s == 0 ) {
-        ++addCount;
-        alignments.add( new Alignment(longForm, shortForm, pointers) );
-      } else {
-        findAlignments(pointers, lg-1, s-1);
-      }
-    }
-  }
-
-  public static void main(String[] args) throws Exception {
-    AlignmentFactory fact = new AlignmentFactory(args[0].toCharArray(),
-            AcronymModel.stripAcronym(args[1]));
-
-    Iterator<Alignment> iter = fact.getAlignments();
-    while( iter.hasNext() ) {
-      Alignment a = iter.next();
-      a.print();
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/CliqueTemplates.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/CliqueTemplates.java
deleted file mode 100644
index 100f093..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/CliqueTemplates.java
+++ /dev/null
@@ -1,31 +0,0 @@
-package edu.stanford.nlp.ie.pascal;
-
-import edu.stanford.nlp.stats.ClassicCounter;
-
-import java.net.URL;
-import java.util.HashMap;
-import java.util.ArrayList;
-
-/**
- * Template information and counters corresponding to sampling on one document.
- *
- * As an alternative to reading a document labelling into a full {@link PascalTemplate}
- * we can read it into partial templates which contain only strictly related information,
- * (See {@link DateTemplate} and {@link InfoTemplate}).
- *
- * @author Chris Cox
- */
-
-public class CliqueTemplates {
-
-  public HashMap stemmedAcronymIndex = new HashMap();
-  public HashMap inverseAcronymMap = new HashMap();
-
-  public ArrayList<String> urls = null;
-
-  public ClassicCounter dateCliqueCounter = new ClassicCounter();
-  public ClassicCounter locationCliqueCounter = new ClassicCounter();
-  public ClassicCounter workshopInfoCliqueCounter = new ClassicCounter();
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/DateTemplate.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/DateTemplate.java
deleted file mode 100644
index 6e3a25e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/DateTemplate.java
+++ /dev/null
@@ -1,49 +0,0 @@
-package edu.stanford.nlp.ie.pascal;
-
-/**
- * A partial {@link PascalTemplate}.  Holds date fields only.
- *
- * @author Chris Cox
- */
-public class DateTemplate{
-
-  public String subdate="1/1/1000";
-  public String noadate="1/1/1000";
-  public String crcdate="1/1/1000";
-  public String workdate="1/1/1000";
-
-  public DateTemplate(String subdate,String noadate,String crcdate,String workdate) {
-    if(subdate!=null)this.subdate=subdate;
-    if(noadate!=null)this.noadate=noadate;
-    if(crcdate!=null)this.crcdate=crcdate;
-    if(workdate!=null)this.workdate=workdate;
-  }
-
-  @Override
-  public int hashCode() {
-    int tally = 31;
-    int n = 3;
-    tally = tally+n*subdate.hashCode()+n*n*noadate.hashCode()+
-      n*n*n*crcdate.hashCode()+n*workdate.hashCode();
-    return tally;
-  }
-
-  @Override
-  public boolean equals(Object obj) {
-    if(obj==null)return false;
-    if(! (obj instanceof DateTemplate)) return false;
-
-    DateTemplate d = (DateTemplate)obj;
-    return (subdate.equals(d.subdate) &&
-            noadate.equals(d.noadate) &&
-            crcdate.equals(d.crcdate) &&
-            workdate.equals(d.workdate));
-  }
-
-  @Override
-  public String toString() {
-    return (" Sub:" + subdate + " Noa:" + noadate + " Crc:" + crcdate + " Wrk:" + workdate);
-  }
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/DefaultTeXHyphenData.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/DefaultTeXHyphenData.java
deleted file mode 100644
index 029912f..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/DefaultTeXHyphenData.java
+++ /dev/null
@@ -1,4461 +0,0 @@
-package edu.stanford.nlp.ie.pascal;
-
-/**
- * Default TeX hyphenation data, as borrowed from the TeX distribution.
- *
- * THIS FILE IS AUTOMATICALLY GENERATED from DefaultTeXHyphenData.java.template
- * and buildDefaultTeXHyphenData.pl.
- *
- * DO NOT EDIT DefaultTeXHyphenData.java; YOUR CHANGES WILL BE DISCARDED.
- */
-public class DefaultTeXHyphenData {
-  public static final String hyphenData =
-    ".ach4\n" +
-    ".ad4der\n" +
-    ".af1t\n" +
-    ".al3t\n" +
-    ".am5at\n" +
-    ".an5c\n" +
-    ".ang4\n" +
-    ".ani5m\n" +
-    ".ant4\n" +
-    ".an3te\n" +
-    ".anti5s\n" +
-    ".ar5s\n" +
-    ".ar4tie\n" +
-    ".ar4ty\n" +
-    ".as3c\n" +
-    ".as1p\n" +
-    ".as1s\n" +
-    ".aster5\n" +
-    ".atom5\n" +
-    ".au1d\n" +
-    ".av4i\n" +
-    ".awn4\n" +
-    ".ba4g\n" +
-    ".ba5na\n" +
-    ".bas4e\n" +
-    ".ber4\n" +
-    ".be5ra\n" +
-    ".be3sm\n" +
-    ".be5sto\n" +
-    ".bri2\n" +
-    ".but4ti\n" +
-    ".cam4pe\n" +
-    ".can5c\n" +
-    ".capa5b\n" +
-    ".car5ol\n" +
-    ".ca4t\n" +
-    ".ce4la\n" +
-    ".ch4\n" +
-    ".chill5i\n" +
-    ".ci2\n" +
-    ".cit5r\n" +
-    ".co3e\n" +
-    ".co4r\n" +
-    ".cor5ner\n" +
-    ".de4moi\n" +
-    ".de3o\n" +
-    ".de3ra\n" +
-    ".de3ri\n" +
-    ".des4c\n" +
-    ".dictio5\n" +
-    ".do4t\n" +
-    ".du4c\n" +
-    ".dumb5\n" +
-    ".earth5\n" +
-    ".eas3i\n" +
-    ".eb4\n" +
-    ".eer4\n" +
-    ".eg2\n" +
-    ".el5d\n" +
-    ".el3em\n" +
-    ".enam3\n" +
-    ".en3g\n" +
-    ".en3s\n" +
-    ".eq5ui5t\n" +
-    ".er4ri\n" +
-    ".es3\n" +
-    ".eu3\n" +
-    ".eye5\n" +
-    ".fes3\n" +
-    ".for5mer\n" +
-    ".ga2\n" +
-    ".ge2\n" +
-    ".gen3t4\n" +
-    ".ge5og\n" +
-    ".gi5a\n" +
-    ".gi4b\n" +
-    ".go4r\n" +
-    ".hand5i\n" +
-    ".han5k\n" +
-    ".he2\n" +
-    ".hero5i\n" +
-    ".hes3\n" +
-    ".het3\n" +
-    ".hi3b\n" +
-    ".hi3er\n" +
-    ".hon5ey\n" +
-    ".hon3o\n" +
-    ".hov5\n" +
-    ".id4l\n" +
-    ".idol3\n" +
-    ".im3m\n" +
-    ".im5pin\n" +
-    ".in1\n" +
-    ".in3ci\n" +
-    ".ine2\n" +
-    ".in2k\n" +
-    ".in3s\n" +
-    ".ir5r\n" +
-    ".is4i\n" +
-    ".ju3r\n" +
-    ".la4cy\n" +
-    ".la4m\n" +
-    ".lat5er\n" +
-    ".lath5\n" +
-    ".le2\n" +
-    ".leg5e\n" +
-    ".len4\n" +
-    ".lep5\n" +
-    ".lev1\n" +
-    ".li4g\n" +
-    ".lig5a\n" +
-    ".li2n\n" +
-    ".li3o\n" +
-    ".li4t\n" +
-    ".mag5a5\n" +
-    ".mal5o\n" +
-    ".man5a\n" +
-    ".mar5ti\n" +
-    ".me2\n" +
-    ".mer3c\n" +
-    ".me5ter\n" +
-    ".mis1\n" +
-    ".mist5i\n" +
-    ".mon3e\n" +
-    ".mo3ro\n" +
-    ".mu5ta\n" +
-    ".muta5b\n" +
-    ".ni4c\n" +
-    ".od2\n" +
-    ".odd5\n" +
-    ".of5te\n" +
-    ".or5ato\n" +
-    ".or3c\n" +
-    ".or1d\n" +
-    ".or3t\n" +
-    ".os3\n" +
-    ".os4tl\n" +
-    ".oth3\n" +
-    ".out3\n" +
-    ".ped5al\n" +
-    ".pe5te\n" +
-    ".pe5tit\n" +
-    ".pi4e\n" +
-    ".pio5n\n" +
-    ".pi2t\n" +
-    ".pre3m\n" +
-    ".ra4c\n" +
-    ".ran4t\n" +
-    ".ratio5na\n" +
-    ".ree2\n" +
-    ".re5mit\n" +
-    ".res2\n" +
-    ".re5stat\n" +
-    ".ri4g\n" +
-    ".rit5u\n" +
-    ".ro4q\n" +
-    ".ros5t\n" +
-    ".row5d\n" +
-    ".ru4d\n" +
-    ".sci3e\n" +
-    ".self5\n" +
-    ".sell5\n" +
-    ".se2n\n" +
-    ".se5rie\n" +
-    ".sh2\n" +
-    ".si2\n" +
-    ".sing4\n" +
-    ".st4\n" +
-    ".sta5bl\n" +
-    ".sy2\n" +
-    ".ta4\n" +
-    ".te4\n" +
-    ".ten5an\n" +
-    ".th2\n" +
-    ".ti2\n" +
-    ".til4\n" +
-    ".tim5o5\n" +
-    ".ting4\n" +
-    ".tin5k\n" +
-    ".ton4a\n" +
-    ".to4p\n" +
-    ".top5i\n" +
-    ".tou5s\n" +
-    ".trib5ut\n" +
-    ".un1a\n" +
-    ".un3ce\n" +
-    ".under5\n" +
-    ".un1e\n" +
-    ".un5k\n" +
-    ".un5o\n" +
-    ".un3u\n" +
-    ".up3\n" +
-    ".ure3\n" +
-    ".us5a\n" +
-    ".ven4de\n" +
-    ".ve5ra\n" +
-    ".wil5i\n" +
-    ".ye4\n" +
-    "4ab.\n" +
-    "a5bal\n" +
-    "a5ban\n" +
-    "abe2\n" +
-    "ab5erd\n" +
-    "abi5a\n" +
-    "ab5it5ab\n" +
-    "ab5lat\n" +
-    "ab5o5liz\n" +
-    "4abr\n" +
-    "ab5rog\n" +
-    "ab3ul\n" +
-    "a4car\n" +
-    "ac5ard\n" +
-    "ac5aro\n" +
-    "a5ceou\n" +
-    "ac1er\n" +
-    "a5chet\n" +
-    "4a2ci\n" +
-    "a3cie\n" +
-    "ac1in\n" +
-    "a3cio\n" +
-    "ac5rob\n" +
-    "act5if\n" +
-    "ac3ul\n" +
-    "ac4um\n" +
-    "a2d\n" +
-    "ad4din\n" +
-    "ad5er.\n" +
-    "2adi\n" +
-    "a3dia\n" +
-    "ad3ica\n" +
-    "adi4er\n" +
-    "a3dio\n" +
-    "a3dit\n" +
-    "a5diu\n" +
-    "ad4le\n" +
-    "ad3ow\n" +
-    "ad5ran\n" +
-    "ad4su\n" +
-    "4adu\n" +
-    "a3duc\n" +
-    "ad5um\n" +
-    "ae4r\n" +
-    "aeri4e\n" +
-    "a2f\n" +
-    "aff4\n" +
-    "a4gab\n" +
-    "aga4n\n" +
-    "ag5ell\n" +
-    "age4o\n" +
-    "4ageu\n" +
-    "ag1i\n" +
-    "4ag4l\n" +
-    "ag1n\n" +
-    "a2go\n" +
-    "3agog\n" +
-    "ag3oni\n" +
-    "a5guer\n" +
-    "ag5ul\n" +
-    "a4gy\n" +
-    "a3ha\n" +
-    "a3he\n" +
-    "ah4l\n" +
-    "a3ho\n" +
-    "ai2\n" +
-    "a5ia\n" +
-    "a3ic.\n" +
-    "ai5ly\n" +
-    "a4i4n\n" +
-    "ain5in\n" +
-    "ain5o\n" +
-    "ait5en\n" +
-    "a1j\n" +
-    "ak1en\n" +
-    "al5ab\n" +
-    "al3ad\n" +
-    "a4lar\n" +
-    "4aldi\n" +
-    "2ale\n" +
-    "al3end\n" +
-    "a4lenti\n" +
-    "a5le5o\n" +
-    "al1i\n" +
-    "al4ia.\n" +
-    "ali4e\n" +
-    "al5lev\n" +
-    "4allic\n" +
-    "4alm\n" +
-    "a5log.\n" +
-    "a4ly.\n" +
-    "4alys\n" +
-    "5a5lyst\n" +
-    "5alyt\n" +
-    "3alyz\n" +
-    "4ama\n" +
-    "am5ab\n" +
-    "am3ag\n" +
-    "ama5ra\n" +
-    "am5asc\n" +
-    "a4matis\n" +
-    "a4m5ato\n" +
-    "am5era\n" +
-    "am3ic\n" +
-    "am5if\n" +
-    "am5ily\n" +
-    "am1in\n" +
-    "ami4no\n" +
-    "a2mo\n" +
-    "a5mon\n" +
-    "amor5i\n" +
-    "amp5en\n" +
-    "a2n\n" +
-    "an3age\n" +
-    "3analy\n" +
-    "a3nar\n" +
-    "an3arc\n" +
-    "anar4i\n" +
-    "a3nati\n" +
-    "4and\n" +
-    "ande4s\n" +
-    "an3dis\n" +
-    "an1dl\n" +
-    "an4dow\n" +
-    "a5nee\n" +
-    "a3nen\n" +
-    "an5est.\n" +
-    "a3neu\n" +
-    "2ang\n" +
-    "ang5ie\n" +
-    "an1gl\n" +
-    "a4n1ic\n" +
-    "a3nies\n" +
-    "an3i3f\n" +
-    "an4ime\n" +
-    "a5nimi\n" +
-    "a5nine\n" +
-    "an3io\n" +
-    "a3nip\n" +
-    "an3ish\n" +
-    "an3it\n" +
-    "a3niu\n" +
-    "an4kli\n" +
-    "5anniz\n" +
-    "ano4\n" +
-    "an5ot\n" +
-    "anoth5\n" +
-    "an2sa\n" +
-    "an4sco\n" +
-    "an4sn\n" +
-    "an2sp\n" +
-    "ans3po\n" +
-    "an4st\n" +
-    "an4sur\n" +
-    "antal4\n" +
-    "an4tie\n" +
-    "4anto\n" +
-    "an2tr\n" +
-    "an4tw\n" +
-    "an3ua\n" +
-    "an3ul\n" +
-    "a5nur\n" +
-    "4ao\n" +
-    "apar4\n" +
-    "ap5at\n" +
-    "ap5ero\n" +
-    "a3pher\n" +
-    "4aphi\n" +
-    "a4pilla\n" +
-    "ap5illar\n" +
-    "ap3in\n" +
-    "ap3ita\n" +
-    "a3pitu\n" +
-    "a2pl\n" +
-    "apoc5\n" +
-    "ap5ola\n" +
-    "apor5i\n" +
-    "apos3t\n" +
-    "aps5es\n" +
-    "a3pu\n" +
-    "aque5\n" +
-    "2a2r\n" +
-    "ar3act\n" +
-    "a5rade\n" +
-    "ar5adis\n" +
-    "ar3al\n" +
-    "a5ramete\n" +
-    "aran4g\n" +
-    "ara3p\n" +
-    "ar4at\n" +
-    "a5ratio\n" +
-    "ar5ativ\n" +
-    "a5rau\n" +
-    "ar5av4\n" +
-    "araw4\n" +
-    "arbal4\n" +
-    "ar4chan\n" +
-    "ar5dine\n" +
-    "ar4dr\n" +
-    "ar5eas\n" +
-    "a3ree\n" +
-    "ar3ent\n" +
-    "a5ress\n" +
-    "ar4fi\n" +
-    "ar4fl\n" +
-    "ar1i\n" +
-    "ar5ial\n" +
-    "ar3ian\n" +
-    "a3riet\n" +
-    "ar4im\n" +
-    "ar5inat\n" +
-    "ar3io\n" +
-    "ar2iz\n" +
-    "ar2mi\n" +
-    "ar5o5d\n" +
-    "a5roni\n" +
-    "a3roo\n" +
-    "ar2p\n" +
-    "ar3q\n" +
-    "arre4\n" +
-    "ar4sa\n" +
-    "ar2sh\n" +
-    "4as.\n" +
-    "as4ab\n" +
-    "as3ant\n" +
-    "ashi4\n" +
-    "a5sia.\n" +
-    "a3sib\n" +
-    "a3sic\n" +
-    "5a5si4t\n" +
-    "ask3i\n" +
-    "as4l\n" +
-    "a4soc\n" +
-    "as5ph\n" +
-    "as4sh\n" +
-    "as3ten\n" +
-    "as1tr\n" +
-    "asur5a\n" +
-    "a2ta\n" +
-    "at3abl\n" +
-    "at5ac\n" +
-    "at3alo\n" +
-    "at5ap\n" +
-    "ate5c\n" +
-    "at5ech\n" +
-    "at3ego\n" +
-    "at3en.\n" +
-    "at3era\n" +
-    "ater5n\n" +
-    "a5terna\n" +
-    "at3est\n" +
-    "at5ev\n" +
-    "4ath\n" +
-    "ath5em\n" +
-    "a5then\n" +
-    "at4ho\n" +
-    "ath5om\n" +
-    "4ati.\n" +
-    "a5tia\n" +
-    "at5i5b\n" +
-    "at1ic\n" +
-    "at3if\n" +
-    "ation5ar\n" +
-    "at3itu\n" +
-    "a4tog\n" +
-    "a2tom\n" +
-    "at5omiz\n" +
-    "a4top\n" +
-    "a4tos\n" +
-    "a1tr\n" +
-    "at5rop\n" +
-    "at4sk\n" +
-    "at4tag\n" +
-    "at5te\n" +
-    "at4th\n" +
-    "a2tu\n" +
-    "at5ua\n" +
-    "at5ue\n" +
-    "at3ul\n" +
-    "at3ura\n" +
-    "a2ty\n" +
-    "au4b\n" +
-    "augh3\n" +
-    "au3gu\n" +
-    "au4l2\n" +
-    "aun5d\n" +
-    "au3r\n" +
-    "au5sib\n" +
-    "aut5en\n" +
-    "au1th\n" +
-    "a2va\n" +
-    "av3ag\n" +
-    "a5van\n" +
-    "ave4no\n" +
-    "av3era\n" +
-    "av5ern\n" +
-    "av5ery\n" +
-    "av1i\n" +
-    "avi4er\n" +
-    "av3ig\n" +
-    "av5oc\n" +
-    "a1vor\n" +
-    "3away\n" +
-    "aw3i\n" +
-    "aw4ly\n" +
-    "aws4\n" +
-    "ax4ic\n" +
-    "ax4id\n" +
-    "ay5al\n" +
-    "aye4\n" +
-    "ays4\n" +
-    "azi4er\n" +
-    "azz5i\n" +
-    "5ba.\n" +
-    "bad5ger\n" +
-    "ba4ge\n" +
-    "bal1a\n" +
-    "ban5dag\n" +
-    "ban4e\n" +
-    "ban3i\n" +
-    "barbi5\n" +
-    "bari4a\n" +
-    "bas4si\n" +
-    "1bat\n" +
-    "ba4z\n" +
-    "2b1b\n" +
-    "b2be\n" +
-    "b3ber\n" +
-    "bbi4na\n" +
-    "4b1d\n" +
-    "4be.\n" +
-    "beak4\n" +
-    "beat3\n" +
-    "4be2d\n" +
-    "be3da\n" +
-    "be3de\n" +
-    "be3di\n" +
-    "be3gi\n" +
-    "be5gu\n" +
-    "1bel\n" +
-    "be1li\n" +
-    "be3lo\n" +
-    "4be5m\n" +
-    "be5nig\n" +
-    "be5nu\n" +
-    "4bes4\n" +
-    "be3sp\n" +
-    "be5str\n" +
-    "3bet\n" +
-    "bet5iz\n" +
-    "be5tr\n" +
-    "be3tw\n" +
-    "be3w\n" +
-    "be5yo\n" +
-    "2bf\n" +
-    "4b3h\n" +
-    "bi2b\n" +
-    "bi4d\n" +
-    "3bie\n" +
-    "bi5en\n" +
-    "bi4er\n" +
-    "2b3if\n" +
-    "1bil\n" +
-    "bi3liz\n" +
-    "bina5r4\n" +
-    "bin4d\n" +
-    "bi5net\n" +
-    "bi3ogr\n" +
-    "bi5ou\n" +
-    "bi2t\n" +
-    "3bi3tio\n" +
-    "bi3tr\n" +
-    "3bit5ua\n" +
-    "b5itz\n" +
-    "b1j\n" +
-    "bk4\n" +
-    "b2l2\n" +
-    "blath5\n" +
-    "b4le.\n" +
-    "blen4\n" +
-    "5blesp\n" +
-    "b3lis\n" +
-    "b4lo\n" +
-    "blun4t\n" +
-    "4b1m\n" +
-    "4b3n\n" +
-    "bne5g\n" +
-    "3bod\n" +
-    "bod3i\n" +
-    "bo4e\n" +
-    "bol3ic\n" +
-    "bom4bi\n" +
-    "bon4a\n" +
-    "bon5at\n" +
-    "3boo\n" +
-    "5bor.\n" +
-    "4b1ora\n" +
-    "bor5d\n" +
-    "5bore\n" +
-    "5bori\n" +
-    "5bos4\n" +
-    "b5ota\n" +
-    "both5\n" +
-    "bo4to\n" +
-    "bound3\n" +
-    "4bp\n" +
-    "4brit\n" +
-    "broth3\n" +
-    "2b5s2\n" +
-    "bsor4\n" +
-    "2bt\n" +
-    "bt4l\n" +
-    "b4to\n" +
-    "b3tr\n" +
-    "buf4fer\n" +
-    "bu4ga\n" +
-    "bu3li\n" +
-    "bumi4\n" +
-    "bu4n\n" +
-    "bunt4i\n" +
-    "bu3re\n" +
-    "bus5ie\n" +
-    "buss4e\n" +
-    "5bust\n" +
-    "4buta\n" +
-    "3butio\n" +
-    "b5uto\n" +
-    "b1v\n" +
-    "4b5w\n" +
-    "5by.\n" +
-    "bys4\n" +
-    "1ca\n" +
-    "cab3in\n" +
-    "ca1bl\n" +
-    "cach4\n" +
-    "ca5den\n" +
-    "4cag4\n" +
-    "2c5ah\n" +
-    "ca3lat\n" +
-    "cal4la\n" +
-    "call5in\n" +
-    "4calo\n" +
-    "can5d\n" +
-    "can4e\n" +
-    "can4ic\n" +
-    "can5is\n" +
-    "can3iz\n" +
-    "can4ty\n" +
-    "cany4\n" +
-    "ca5per\n" +
-    "car5om\n" +
-    "cast5er\n" +
-    "cas5tig\n" +
-    "4casy\n" +
-    "ca4th\n" +
-    "4cativ\n" +
-    "cav5al\n" +
-    "c3c\n" +
-    "ccha5\n" +
-    "cci4a\n" +
-    "ccompa5\n" +
-    "ccon4\n" +
-    "ccou3t\n" +
-    "2ce.\n" +
-    "4ced.\n" +
-    "4ceden\n" +
-    "3cei\n" +
-    "5cel.\n" +
-    "3cell\n" +
-    "1cen\n" +
-    "3cenc\n" +
-    "2cen4e\n" +
-    "4ceni\n" +
-    "3cent\n" +
-    "3cep\n" +
-    "ce5ram\n" +
-    "4cesa\n" +
-    "3cessi\n" +
-    "ces5si5b\n" +
-    "ces5t\n" +
-    "cet4\n" +
-    "c5e4ta\n" +
-    "cew4\n" +
-    "2ch\n" +
-    "4ch.\n" +
-    "4ch3ab\n" +
-    "5chanic\n" +
-    "ch5a5nis\n" +
-    "che2\n" +
-    "cheap3\n" +
-    "4ched\n" +
-    "che5lo\n" +
-    "3chemi\n" +
-    "ch5ene\n" +
-    "ch3er.\n" +
-    "ch3ers\n" +
-    "4ch1in\n" +
-    "5chine.\n" +
-    "ch5iness\n" +
-    "5chini\n" +
-    "5chio\n" +
-    "3chit\n" +
-    "chi2z\n" +
-    "3cho2\n" +
-    "ch4ti\n" +
-    "1ci\n" +
-    "3cia\n" +
-    "ci2a5b\n" +
-    "cia5r\n" +
-    "ci5c\n" +
-    "4cier\n" +
-    "5cific.\n" +
-    "4cii\n" +
-    "ci4la\n" +
-    "3cili\n" +
-    "2cim\n" +
-    "2cin\n" +
-    "c4ina\n" +
-    "3cinat\n" +
-    "cin3em\n" +
-    "c1ing\n" +
-    "c5ing.\n" +
-    "5cino\n" +
-    "cion4\n" +
-    "4cipe\n" +
-    "ci3ph\n" +
-    "4cipic\n" +
-    "4cista\n" +
-    "4cisti\n" +
-    "2c1it\n" +
-    "cit3iz\n" +
-    "5ciz\n" +
-    "ck1\n" +
-    "ck3i\n" +
-    "1c4l4\n" +
-    "4clar\n" +
-    "c5laratio\n" +
-    "5clare\n" +
-    "cle4m\n" +
-    "4clic\n" +
-    "clim4\n" +
-    "cly4\n" +
-    "c5n\n" +
-    "1co\n" +
-    "co5ag\n" +
-    "coe2\n" +
-    "2cog\n" +
-    "co4gr\n" +
-    "coi4\n" +
-    "co3inc\n" +
-    "col5i\n" +
-    "5colo\n" +
-    "col3or\n" +
-    "com5er\n" +
-    "con4a\n" +
-    "c4one\n" +
-    "con3g\n" +
-    "con5t\n" +
-    "co3pa\n" +
-    "cop3ic\n" +
-    "co4pl\n" +
-    "4corb\n" +
-    "coro3n\n" +
-    "cos4e\n" +
-    "cov1\n" +
-    "cove4\n" +
-    "cow5a\n" +
-    "coz5e\n" +
-    "co5zi\n" +
-    "c1q\n" +
-    "cras5t\n" +
-    "5crat.\n" +
-    "5cratic\n" +
-    "cre3at\n" +
-    "5cred\n" +
-    "4c3reta\n" +
-    "cre4v\n" +
-    "cri2\n" +
-    "cri5f\n" +
-    "c4rin\n" +
-    "cris4\n" +
-    "5criti\n" +
-    "cro4pl\n" +
-    "crop5o\n" +
-    "cros4e\n" +
-    "cru4d\n" +
-    "4c3s2\n" +
-    "2c1t\n" +
-    "cta4b\n" +
-    "ct5ang\n" +
-    "c5tant\n" +
-    "c2te\n" +
-    "c3ter\n" +
-    "c4ticu\n" +
-    "ctim3i\n" +
-    "ctu4r\n" +
-    "c4tw\n" +
-    "cud5\n" +
-    "c4uf\n" +
-    "c4ui\n" +
-    "cu5ity\n" +
-    "5culi\n" +
-    "cul4tis\n" +
-    "3cultu\n" +
-    "cu2ma\n" +
-    "c3ume\n" +
-    "cu4mi\n" +
-    "3cun\n" +
-    "cu3pi\n" +
-    "cu5py\n" +
-    "cur5a4b\n" +
-    "cu5ria\n" +
-    "1cus\n" +
-    "cuss4i\n" +
-    "3c4ut\n" +
-    "cu4tie\n" +
-    "4c5utiv\n" +
-    "4cutr\n" +
-    "1cy\n" +
-    "cze4\n" +
-    "1d2a\n" +
-    "5da.\n" +
-    "2d3a4b\n" +
-    "dach4\n" +
-    "4daf\n" +
-    "2dag\n" +
-    "da2m2\n" +
-    "dan3g\n" +
-    "dard5\n" +
-    "dark5\n" +
-    "4dary\n" +
-    "3dat\n" +
-    "4dativ\n" +
-    "4dato\n" +
-    "5dav4\n" +
-    "dav5e\n" +
-    "5day\n" +
-    "d1b\n" +
-    "d5c\n" +
-    "d1d4\n" +
-    "2de.\n" +
-    "deaf5\n" +
-    "deb5it\n" +
-    "de4bon\n" +
-    "decan4\n" +
-    "de4cil\n" +
-    "de5com\n" +
-    "2d1ed\n" +
-    "4dee.\n" +
-    "de5if\n" +
-    "deli4e\n" +
-    "del5i5q\n" +
-    "de5lo\n" +
-    "d4em\n" +
-    "5dem.\n" +
-    "3demic\n" +
-    "dem5ic.\n" +
-    "de5mil\n" +
-    "de4mons\n" +
-    "demor5\n" +
-    "1den\n" +
-    "de4nar\n" +
-    "de3no\n" +
-    "denti5f\n" +
-    "de3nu\n" +
-    "de1p\n" +
-    "de3pa\n" +
-    "depi4\n" +
-    "de2pu\n" +
-    "d3eq\n" +
-    "d4erh\n" +
-    "5derm\n" +
-    "dern5iz\n" +
-    "der5s\n" +
-    "des2\n" +
-    "d2es.\n" +
-    "de1sc\n" +
-    "de2s5o\n" +
-    "des3ti\n" +
-    "de3str\n" +
-    "de4su\n" +
-    "de1t\n" +
-    "de2to\n" +
-    "de1v\n" +
-    "dev3il\n" +
-    "4dey\n" +
-    "4d1f\n" +
-    "d4ga\n" +
-    "d3ge4t\n" +
-    "dg1i\n" +
-    "d2gy\n" +
-    "d1h2\n" +
-    "5di.\n" +
-    "1d4i3a\n" +
-    "dia5b\n" +
-    "di4cam\n" +
-    "d4ice\n" +
-    "3dict\n" +
-    "3did\n" +
-    "5di3en\n" +
-    "d1if\n" +
-    "di3ge\n" +
-    "di4lato\n" +
-    "d1in\n" +
-    "1dina\n" +
-    "3dine.\n" +
-    "5dini\n" +
-    "di5niz\n" +
-    "1dio\n" +
-    "dio5g\n" +
-    "di4pl\n" +
-    "dir2\n" +
-    "di1re\n" +
-    "dirt5i\n" +
-    "dis1\n" +
-    "5disi\n" +
-    "d4is3t\n" +
-    "d2iti\n" +
-    "1di1v\n" +
-    "d1j\n" +
-    "d5k2\n" +
-    "4d5la\n" +
-    "3dle.\n" +
-    "3dled\n" +
-    "3dles.\n" +
-    "4dless\n" +
-    "2d3lo\n" +
-    "4d5lu\n" +
-    "2dly\n" +
-    "d1m\n" +
-    "4d1n4\n" +
-    "1do\n" +
-    "3do.\n" +
-    "do5de\n" +
-    "5doe\n" +
-    "2d5of\n" +
-    "d4og\n" +
-    "do4la\n" +
-    "doli4\n" +
-    "do5lor\n" +
-    "dom5iz\n" +
-    "do3nat\n" +
-    "doni4\n" +
-    "doo3d\n" +
-    "dop4p\n" +
-    "d4or\n" +
-    "3dos\n" +
-    "4d5out\n" +
-    "do4v\n" +
-    "3dox\n" +
-    "d1p\n" +
-    "1dr\n" +
-    "drag5on\n" +
-    "4drai\n" +
-    "dre4\n" +
-    "drea5r\n" +
-    "5dren\n" +
-    "dri4b\n" +
-    "dril4\n" +
-    "dro4p\n" +
-    "4drow\n" +
-    "5drupli\n" +
-    "4dry\n" +
-    "2d1s2\n" +
-    "ds4p\n" +
-    "d4sw\n" +
-    "d4sy\n" +
-    "d2th\n" +
-    "1du\n" +
-    "d1u1a\n" +
-    "du2c\n" +
-    "d1uca\n" +
-    "duc5er\n" +
-    "4duct.\n" +
-    "4ducts\n" +
-    "du5el\n" +
-    "du4g\n" +
-    "d3ule\n" +
-    "dum4be\n" +
-    "du4n\n" +
-    "4dup\n" +
-    "du4pe\n" +
-    "d1v\n" +
-    "d1w\n" +
-    "d2y\n" +
-    "5dyn\n" +
-    "dy4se\n" +
-    "dys5p\n" +
-    "e1a4b\n" +
-    "e3act\n" +
-    "ead1\n" +
-    "ead5ie\n" +
-    "ea4ge\n" +
-    "ea5ger\n" +
-    "ea4l\n" +
-    "eal5er\n" +
-    "eal3ou\n" +
-    "eam3er\n" +
-    "e5and\n" +
-    "ear3a\n" +
-    "ear4c\n" +
-    "ear5es\n" +
-    "ear4ic\n" +
-    "ear4il\n" +
-    "ear5k\n" +
-    "ear2t\n" +
-    "eart3e\n" +
-    "ea5sp\n" +
-    "e3ass\n" +
-    "east3\n" +
-    "ea2t\n" +
-    "eat5en\n" +
-    "eath3i\n" +
-    "e5atif\n" +
-    "e4a3tu\n" +
-    "ea2v\n" +
-    "eav3en\n" +
-    "eav5i\n" +
-    "eav5o\n" +
-    "2e1b\n" +
-    "e4bel.\n" +
-    "e4bels\n" +
-    "e4ben\n" +
-    "e4bit\n" +
-    "e3br\n" +
-    "e4cad\n" +
-    "ecan5c\n" +
-    "ecca5\n" +
-    "e1ce\n" +
-    "ec5essa\n" +
-    "ec2i\n" +
-    "e4cib\n" +
-    "ec5ificat\n" +
-    "ec5ifie\n" +
-    "ec5ify\n" +
-    "ec3im\n" +
-    "eci4t\n" +
-    "e5cite\n" +
-    "e4clam\n" +
-    "e4clus\n" +
-    "e2col\n" +
-    "e4comm\n" +
-    "e4compe\n" +
-    "e4conc\n" +
-    "e2cor\n" +
-    "ec3ora\n" +
-    "eco5ro\n" +
-    "e1cr\n" +
-    "e4crem\n" +
-    "ec4tan\n" +
-    "ec4te\n" +
-    "e1cu\n" +
-    "e4cul\n" +
-    "ec3ula\n" +
-    "2e2da\n" +
-    "4ed3d\n" +
-    "e4d1er\n" +
-    "ede4s\n" +
-    "4edi\n" +
-    "e3dia\n" +
-    "ed3ib\n" +
-    "ed3ica\n" +
-    "ed3im\n" +
-    "ed1it\n" +
-    "edi5z\n" +
-    "4edo\n" +
-    "e4dol\n" +
-    "edon2\n" +
-    "e4dri\n" +
-    "e4dul\n" +
-    "ed5ulo\n" +
-    "ee2c\n" +
-    "eed3i\n" +
-    "ee2f\n" +
-    "eel3i\n" +
-    "ee4ly\n" +
-    "ee2m\n" +
-    "ee4na\n" +
-    "ee4p1\n" +
-    "ee2s4\n" +
-    "eest4\n" +
-    "ee4ty\n" +
-    "e5ex\n" +
-    "e1f\n" +
-    "e4f3ere\n" +
-    "1eff\n" +
-    "e4fic\n" +
-    "5efici\n" +
-    "efil4\n" +
-    "e3fine\n" +
-    "ef5i5nite\n" +
-    "3efit\n" +
-    "efor5es\n" +
-    "e4fuse.\n" +
-    "4egal\n" +
-    "eger4\n" +
-    "eg5ib\n" +
-    "eg4ic\n" +
-    "eg5ing\n" +
-    "e5git5\n" +
-    "eg5n\n" +
-    "e4go.\n" +
-    "e4gos\n" +
-    "eg1ul\n" +
-    "e5gur\n" +
-    "5egy\n" +
-    "e1h4\n" +
-    "eher4\n" +
-    "ei2\n" +
-    "e5ic\n" +
-    "ei5d\n" +
-    "eig2\n" +
-    "ei5gl\n" +
-    "e3imb\n" +
-    "e3inf\n" +
-    "e1ing\n" +
-    "e5inst\n" +
-    "eir4d\n" +
-    "eit3e\n" +
-    "ei3th\n" +
-    "e5ity\n" +
-    "e1j\n" +
-    "e4jud\n" +
-    "ej5udi\n" +
-    "eki4n\n" +
-    "ek4la\n" +
-    "e1la\n" +
-    "e4la.\n" +
-    "e4lac\n" +
-    "elan4d\n" +
-    "el5ativ\n" +
-    "e4law\n" +
-    "elaxa4\n" +
-    "e3lea\n" +
-    "el5ebra\n" +
-    "5elec\n" +
-    "e4led\n" +
-    "el3ega\n" +
-    "e5len\n" +
-    "e4l1er\n" +
-    "e1les\n" +
-    "el2f\n" +
-    "el2i\n" +
-    "e3libe\n" +
-    "e4l5ic.\n" +
-    "el3ica\n" +
-    "e3lier\n" +
-    "el5igib\n" +
-    "e5lim\n" +
-    "e4l3ing\n" +
-    "e3lio\n" +
-    "e2lis\n" +
-    "el5ish\n" +
-    "e3liv3\n" +
-    "4ella\n" +
-    "el4lab\n" +
-    "ello4\n" +
-    "e5loc\n" +
-    "el5og\n" +
-    "el3op.\n" +
-    "el2sh\n" +
-    "el4ta\n" +
-    "e5lud\n" +
-    "el5ug\n" +
-    "e4mac\n" +
-    "e4mag\n" +
-    "e5man\n" +
-    "em5ana\n" +
-    "em5b\n" +
-    "e1me\n" +
-    "e2mel\n" +
-    "e4met\n" +
-    "em3ica\n" +
-    "emi4e\n" +
-    "em5igra\n" +
-    "em1in2\n" +
-    "em5ine\n" +
-    "em3i3ni\n" +
-    "e4mis\n" +
-    "em5ish\n" +
-    "e5miss\n" +
-    "em3iz\n" +
-    "5emniz\n" +
-    "emo4g\n" +
-    "emoni5o\n" +
-    "em3pi\n" +
-    "e4mul\n" +
-    "em5ula\n" +
-    "emu3n\n" +
-    "e3my\n" +
-    "en5amo\n" +
-    "e4nant\n" +
-    "ench4er\n" +
-    "en3dic\n" +
-    "e5nea\n" +
-    "e5nee\n" +
-    "en3em\n" +
-    "en5ero\n" +
-    "en5esi\n" +
-    "en5est\n" +
-    "en3etr\n" +
-    "e3new\n" +
-    "en5ics\n" +
-    "e5nie\n" +
-    "e5nil\n" +
-    "e3nio\n" +
-    "en3ish\n" +
-    "en3it\n" +
-    "e5niu\n" +
-    "5eniz\n" +
-    "4enn\n" +
-    "4eno\n" +
-    "eno4g\n" +
-    "e4nos\n" +
-    "en3ov\n" +
-    "en4sw\n" +
-    "ent5age\n" +
-    "4enthes\n" +
-    "en3ua\n" +
-    "en5uf\n" +
-    "e3ny.\n" +
-    "4en3z\n" +
-    "e5of\n" +
-    "eo2g\n" +
-    "e4oi4\n" +
-    "e3ol\n" +
-    "eop3ar\n" +
-    "e1or\n" +
-    "eo3re\n" +
-    "eo5rol\n" +
-    "eos4\n" +
-    "e4ot\n" +
-    "eo4to\n" +
-    "e5out\n" +
-    "e5ow\n" +
-    "e2pa\n" +
-    "e3pai\n" +
-    "ep5anc\n" +
-    "e5pel\n" +
-    "e3pent\n" +
-    "ep5etitio\n" +
-    "ephe4\n" +
-    "e4pli\n" +
-    "e1po\n" +
-    "e4prec\n" +
-    "ep5reca\n" +
-    "e4pred\n" +
-    "ep3reh\n" +
-    "e3pro\n" +
-    "e4prob\n" +
-    "ep4sh\n" +
-    "ep5ti5b\n" +
-    "e4put\n" +
-    "ep5uta\n" +
-    "e1q\n" +
-    "equi3l\n" +
-    "e4q3ui3s\n" +
-    "er1a\n" +
-    "era4b\n" +
-    "4erand\n" +
-    "er3ar\n" +
-    "4erati.\n" +
-    "2erb\n" +
-    "er4bl\n" +
-    "er3ch\n" +
-    "er4che\n" +
-    "2ere.\n" +
-    "e3real\n" +
-    "ere5co\n" +
-    "ere3in\n" +
-    "er5el.\n" +
-    "er3emo\n" +
-    "er5ena\n" +
-    "er5ence\n" +
-    "4erene\n" +
-    "er3ent\n" +
-    "ere4q\n" +
-    "er5ess\n" +
-    "er3est\n" +
-    "eret4\n" +
-    "er1h\n" +
-    "er1i\n" +
-    "e1ria4\n" +
-    "5erick\n" +
-    "e3rien\n" +
-    "eri4er\n" +
-    "er3ine\n" +
-    "e1rio\n" +
-    "4erit\n" +
-    "er4iu\n" +
-    "eri4v\n" +
-    "e4riva\n" +
-    "er3m4\n" +
-    "er4nis\n" +
-    "4ernit\n" +
-    "5erniz\n" +
-    "er3no\n" +
-    "2ero\n" +
-    "er5ob\n" +
-    "e5roc\n" +
-    "ero4r\n" +
-    "er1ou\n" +
-    "er1s\n" +
-    "er3set\n" +
-    "ert3er\n" +
-    "4ertl\n" +
-    "er3tw\n" +
-    "4eru\n" +
-    "eru4t\n" +
-    "5erwau\n" +
-    "e1s4a\n" +
-    "e4sage.\n" +
-    "e4sages\n" +
-    "es2c\n" +
-    "e2sca\n" +
-    "es5can\n" +
-    "e3scr\n" +
-    "es5cu\n" +
-    "e1s2e\n" +
-    "e2sec\n" +
-    "es5ecr\n" +
-    "es5enc\n" +
-    "e4sert.\n" +
-    "e4serts\n" +
-    "e4serva\n" +
-    "4esh\n" +
-    "e3sha\n" +
-    "esh5en\n" +
-    "e1si\n" +
-    "e2sic\n" +
-    "e2sid\n" +
-    "es5iden\n" +
-    "es5igna\n" +
-    "e2s5im\n" +
-    "es4i4n\n" +
-    "esis4te\n" +
-    "esi4u\n" +
-    "e5skin\n" +
-    "es4mi\n" +
-    "e2sol\n" +
-    "es3olu\n" +
-    "e2son\n" +
-    "es5ona\n" +
-    "e1sp\n" +
-    "es3per\n" +
-    "es5pira\n" +
-    "es4pre\n" +
-    "2ess\n" +
-    "es4si4b\n" +
-    "estan4\n" +
-    "es3tig\n" +
-    "es5tim\n" +
-    "4es2to\n" +
-    "e3ston\n" +
-    "2estr\n" +
-    "e5stro\n" +
-    "estruc5\n" +
-    "e2sur\n" +
-    "es5urr\n" +
-    "es4w\n" +
-    "eta4b\n" +
-    "eten4d\n" +
-    "e3teo\n" +
-    "ethod3\n" +
-    "et1ic\n" +
-    "e5tide\n" +
-    "etin4\n" +
-    "eti4no\n" +
-    "e5tir\n" +
-    "e5titio\n" +
-    "et5itiv\n" +
-    "4etn\n" +
-    "et5ona\n" +
-    "e3tra\n" +
-    "e3tre\n" +
-    "et3ric\n" +
-    "et5rif\n" +
-    "et3rog\n" +
-    "et5ros\n" +
-    "et3ua\n" +
-    "et5ym\n" +
-    "et5z\n" +
-    "4eu\n" +
-    "e5un\n" +
-    "e3up\n" +
-    "eu3ro\n" +
-    "eus4\n" +
-    "eute4\n" +
-    "euti5l\n" +
-    "eu5tr\n" +
-    "eva2p5\n" +
-    "e2vas\n" +
-    "ev5ast\n" +
-    "e5vea\n" +
-    "ev3ell\n" +
-    "evel3o\n" +
-    "e5veng\n" +
-    "even4i\n" +
-    "ev1er\n" +
-    "e5verb\n" +
-    "e1vi\n" +
-    "ev3id\n" +
-    "evi4l\n" +
-    "e4vin\n" +
-    "evi4v\n" +
-    "e5voc\n" +
-    "e5vu\n" +
-    "e1wa\n" +
-    "e4wag\n" +
-    "e5wee\n" +
-    "e3wh\n" +
-    "ewil5\n" +
-    "ew3ing\n" +
-    "e3wit\n" +
-    "1exp\n" +
-    "5eyc\n" +
-    "5eye.\n" +
-    "eys4\n" +
-    "1fa\n" +
-    "fa3bl\n" +
-    "fab3r\n" +
-    "fa4ce\n" +
-    "4fag\n" +
-    "fain4\n" +
-    "fall5e\n" +
-    "4fa4ma\n" +
-    "fam5is\n" +
-    "5far\n" +
-    "far5th\n" +
-    "fa3ta\n" +
-    "fa3the\n" +
-    "4fato\n" +
-    "fault5\n" +
-    "4f5b\n" +
-    "4fd\n" +
-    "4fe.\n" +
-    "feas4\n" +
-    "feath3\n" +
-    "fe4b\n" +
-    "4feca\n" +
-    "5fect\n" +
-    "2fed\n" +
-    "fe3li\n" +
-    "fe4mo\n" +
-    "fen2d\n" +
-    "fend5e\n" +
-    "fer1\n" +
-    "5ferr\n" +
-    "fev4\n" +
-    "4f1f\n" +
-    "f4fes\n" +
-    "f4fie\n" +
-    "f5fin.\n" +
-    "f2f5is\n" +
-    "f4fly\n" +
-    "f2fy\n" +
-    "4fh\n" +
-    "1fi\n" +
-    "fi3a\n" +
-    "2f3ic.\n" +
-    "4f3ical\n" +
-    "f3ican\n" +
-    "4ficate\n" +
-    "f3icen\n" +
-    "fi3cer\n" +
-    "fic4i\n" +
-    "5ficia\n" +
-    "5ficie\n" +
-    "4fics\n" +
-    "fi3cu\n" +
-    "fi5del\n" +
-    "fight5\n" +
-    "fil5i\n" +
-    "fill5in\n" +
-    "4fily\n" +
-    "2fin\n" +
-    "5fina\n" +
-    "fin2d5\n" +
-    "fi2ne\n" +
-    "f1in3g\n" +
-    "fin4n\n" +
-    "fis4ti\n" +
-    "f4l2\n" +
-    "f5less\n" +
-    "flin4\n" +
-    "flo3re\n" +
-    "f2ly5\n" +
-    "4fm\n" +
-    "4fn\n" +
-    "1fo\n" +
-    "5fon\n" +
-    "fon4de\n" +
-    "fon4t\n" +
-    "fo2r\n" +
-    "fo5rat\n" +
-    "for5ay\n" +
-    "fore5t\n" +
-    "for4i\n" +
-    "fort5a\n" +
-    "fos5\n" +
-    "4f5p\n" +
-    "fra4t\n" +
-    "f5rea\n" +
-    "fres5c\n" +
-    "fri2\n" +
-    "fril4\n" +
-    "frol5\n" +
-    "2f3s\n" +
-    "2ft\n" +
-    "f4to\n" +
-    "f2ty\n" +
-    "3fu\n" +
-    "fu5el\n" +
-    "4fug\n" +
-    "fu4min\n" +
-    "fu5ne\n" +
-    "fu3ri\n" +
-    "fusi4\n" +
-    "fus4s\n" +
-    "4futa\n" +
-    "1fy\n" +
-    "1ga\n" +
-    "gaf4\n" +
-    "5gal.\n" +
-    "3gali\n" +
-    "ga3lo\n" +
-    "2gam\n" +
-    "ga5met\n" +
-    "g5amo\n" +
-    "gan5is\n" +
-    "ga3niz\n" +
-    "gani5za\n" +
-    "4gano\n" +
-    "gar5n4\n" +
-    "gass4\n" +
-    "gath3\n" +
-    "4gativ\n" +
-    "4gaz\n" +
-    "g3b\n" +
-    "gd4\n" +
-    "2ge.\n" +
-    "2ged\n" +
-    "geez4\n" +
-    "gel4in\n" +
-    "ge5lis\n" +
-    "ge5liz\n" +
-    "4gely\n" +
-    "1gen\n" +
-    "ge4nat\n" +
-    "ge5niz\n" +
-    "4geno\n" +
-    "4geny\n" +
-    "1geo\n" +
-    "ge3om\n" +
-    "g4ery\n" +
-    "5gesi\n" +
-    "geth5\n" +
-    "4geto\n" +
-    "ge4ty\n" +
-    "ge4v\n" +
-    "4g1g2\n" +
-    "g2ge\n" +
-    "g3ger\n" +
-    "gglu5\n" +
-    "ggo4\n" +
-    "gh3in\n" +
-    "gh5out\n" +
-    "gh4to\n" +
-    "5gi.\n" +
-    "1gi4a\n" +
-    "gia5r\n" +
-    "g1ic\n" +
-    "5gicia\n" +
-    "g4ico\n" +
-    "gien5\n" +
-    "5gies.\n" +
-    "gil4\n" +
-    "g3imen\n" +
-    "3g4in.\n" +
-    "gin5ge\n" +
-    "5g4ins\n" +
-    "5gio\n" +
-    "3gir\n" +
-    "gir4l\n" +
-    "g3isl\n" +
-    "gi4u\n" +
-    "5giv\n" +
-    "3giz\n" +
-    "gl2\n" +
-    "gla4\n" +
-    "glad5i\n" +
-    "5glas\n" +
-    "1gle\n" +
-    "gli4b\n" +
-    "g3lig\n" +
-    "3glo\n" +
-    "glo3r\n" +
-    "g1m\n" +
-    "g4my\n" +
-    "gn4a\n" +
-    "g4na.\n" +
-    "gnet4t\n" +
-    "g1ni\n" +
-    "g2nin\n" +
-    "g4nio\n" +
-    "g1no\n" +
-    "g4non\n" +
-    "1go\n" +
-    "3go.\n" +
-    "gob5\n" +
-    "5goe\n" +
-    "3g4o4g\n" +
-    "go3is\n" +
-    "gon2\n" +
-    "4g3o3na\n" +
-    "gondo5\n" +
-    "go3ni\n" +
-    "5goo\n" +
-    "go5riz\n" +
-    "gor5ou\n" +
-    "5gos.\n" +
-    "gov1\n" +
-    "g3p\n" +
-    "1gr\n" +
-    "4grada\n" +
-    "g4rai\n" +
-    "gran2\n" +
-    "5graph.\n" +
-    "g5rapher\n" +
-    "5graphic\n" +
-    "4graphy\n" +
-    "4gray\n" +
-    "gre4n\n" +
-    "4gress.\n" +
-    "4grit\n" +
-    "g4ro\n" +
-    "gruf4\n" +
-    "gs2\n" +
-    "g5ste\n" +
-    "gth3\n" +
-    "gu4a\n" +
-    "3guard\n" +
-    "2gue\n" +
-    "5gui5t\n" +
-    "3gun\n" +
-    "3gus\n" +
-    "4gu4t\n" +
-    "g3w\n" +
-    "1gy\n" +
-    "2g5y3n\n" +
-    "gy5ra\n" +
-    "h3ab4l\n" +
-    "hach4\n" +
-    "hae4m\n" +
-    "hae4t\n" +
-    "h5agu\n" +
-    "ha3la\n" +
-    "hala3m\n" +
-    "ha4m\n" +
-    "han4ci\n" +
-    "han4cy\n" +
-    "5hand.\n" +
-    "han4g\n" +
-    "hang5er\n" +
-    "hang5o\n" +
-    "h5a5niz\n" +
-    "han4k\n" +
-    "han4te\n" +
-    "hap3l\n" +
-    "hap5t\n" +
-    "ha3ran\n" +
-    "ha5ras\n" +
-    "har2d\n" +
-    "hard3e\n" +
-    "har4le\n" +
-    "harp5en\n" +
-    "har5ter\n" +
-    "has5s\n" +
-    "haun4\n" +
-    "5haz\n" +
-    "haz3a\n" +
-    "h1b\n" +
-    "1head\n" +
-    "3hear\n" +
-    "he4can\n" +
-    "h5ecat\n" +
-    "h4ed\n" +
-    "he5do5\n" +
-    "he3l4i\n" +
-    "hel4lis\n" +
-    "hel4ly\n" +
-    "h5elo\n" +
-    "hem4p\n" +
-    "he2n\n" +
-    "hena4\n" +
-    "hen5at\n" +
-    "heo5r\n" +
-    "hep5\n" +
-    "h4era\n" +
-    "hera3p\n" +
-    "her4ba\n" +
-    "here5a\n" +
-    "h3ern\n" +
-    "h5erou\n" +
-    "h3ery\n" +
-    "h1es\n" +
-    "he2s5p\n" +
-    "he4t\n" +
-    "het4ed\n" +
-    "heu4\n" +
-    "h1f\n" +
-    "h1h\n" +
-    "hi5an\n" +
-    "hi4co\n" +
-    "high5\n" +
-    "h4il2\n" +
-    "himer4\n" +
-    "h4ina\n" +
-    "hion4e\n" +
-    "hi4p\n" +
-    "hir4l\n" +
-    "hi3ro\n" +
-    "hir4p\n" +
-    "hir4r\n" +
-    "his3el\n" +
-    "his4s\n" +
-    "hith5er\n" +
-    "hi2v\n" +
-    "4hk\n" +
-    "4h1l4\n" +
-    "hlan4\n" +
-    "h2lo\n" +
-    "hlo3ri\n" +
-    "4h1m\n" +
-    "hmet4\n" +
-    "2h1n\n" +
-    "h5odiz\n" +
-    "h5ods\n" +
-    "ho4g\n" +
-    "hoge4\n" +
-    "hol5ar\n" +
-    "3hol4e\n" +
-    "ho4ma\n" +
-    "home3\n" +
-    "hon4a\n" +
-    "ho5ny\n" +
-    "3hood\n" +
-    "hoon4\n" +
-    "hor5at\n" +
-    "ho5ris\n" +
-    "hort3e\n" +
-    "ho5ru\n" +
-    "hos4e\n" +
-    "ho5sen\n" +
-    "hos1p\n" +
-    "1hous\n" +
-    "house3\n" +
-    "hov5el\n" +
-    "4h5p\n" +
-    "4hr4\n" +
-    "hree5\n" +
-    "hro5niz\n" +
-    "hro3po\n" +
-    "4h1s2\n" +
-    "h4sh\n" +
-    "h4tar\n" +
-    "ht1en\n" +
-    "ht5es\n" +
-    "h4ty\n" +
-    "hu4g\n" +
-    "hu4min\n" +
-    "hun5ke\n" +
-    "hun4t\n" +
-    "hus3t4\n" +
-    "hu4t\n" +
-    "h1w\n" +
-    "h4wart\n" +
-    "hy3pe\n" +
-    "hy3ph\n" +
-    "hy2s\n" +
-    "2i1a\n" +
-    "i2al\n" +
-    "iam4\n" +
-    "iam5ete\n" +
-    "i2an\n" +
-    "4ianc\n" +
-    "ian3i\n" +
-    "4ian4t\n" +
-    "ia5pe\n" +
-    "iass4\n" +
-    "i4ativ\n" +
-    "ia4tric\n" +
-    "i4atu\n" +
-    "ibe4\n" +
-    "ib3era\n" +
-    "ib5ert\n" +
-    "ib5ia\n" +
-    "ib3in\n" +
-    "ib5it.\n" +
-    "ib5ite\n" +
-    "i1bl\n" +
-    "ib3li\n" +
-    "i5bo\n" +
-    "i1br\n" +
-    "i2b5ri\n" +
-    "i5bun\n" +
-    "4icam\n" +
-    "5icap\n" +
-    "4icar\n" +
-    "i4car.\n" +
-    "i4cara\n" +
-    "icas5\n" +
-    "i4cay\n" +
-    "iccu4\n" +
-    "4iceo\n" +
-    "4ich\n" +
-    "2ici\n" +
-    "i5cid\n" +
-    "ic5ina\n" +
-    "i2cip\n" +
-    "ic3ipa\n" +
-    "i4cly\n" +
-    "i2c5oc\n" +
-    "4i1cr\n" +
-    "5icra\n" +
-    "i4cry\n" +
-    "ic4te\n" +
-    "ictu2\n" +
-    "ic4t3ua\n" +
-    "ic3ula\n" +
-    "ic4um\n" +
-    "ic5uo\n" +
-    "i3cur\n" +
-    "2id\n" +
-    "i4dai\n" +
-    "id5anc\n" +
-    "id5d\n" +
-    "ide3al\n" +
-    "ide4s\n" +
-    "i2di\n" +
-    "id5ian\n" +
-    "idi4ar\n" +
-    "i5die\n" +
-    "id3io\n" +
-    "idi5ou\n" +
-    "id1it\n" +
-    "id5iu\n" +
-    "i3dle\n" +
-    "i4dom\n" +
-    "id3ow\n" +
-    "i4dr\n" +
-    "i2du\n" +
-    "id5uo\n" +
-    "2ie4\n" +
-    "ied4e\n" +
-    "5ie5ga\n" +
-    "ield3\n" +
-    "ien5a4\n" +
-    "ien4e\n" +
-    "i5enn\n" +
-    "i3enti\n" +
-    "i1er.\n" +
-    "i3esc\n" +
-    "i1est\n" +
-    "i3et\n" +
-    "4if.\n" +
-    "if5ero\n" +
-    "iff5en\n" +
-    "if4fr\n" +
-    "4ific.\n" +
-    "i3fie\n" +
-    "i3fl\n" +
-    "4ift\n" +
-    "2ig\n" +
-    "iga5b\n" +
-    "ig3era\n" +
-    "ight3i\n" +
-    "4igi\n" +
-    "i3gib\n" +
-    "ig3il\n" +
-    "ig3in\n" +
-    "ig3it\n" +
-    "i4g4l\n" +
-    "i2go\n" +
-    "ig3or\n" +
-    "ig5ot\n" +
-    "i5gre\n" +
-    "igu5i\n" +
-    "ig1ur\n" +
-    "i3h\n" +
-    "4i5i4\n" +
-    "i3j\n" +
-    "4ik\n" +
-    "i1la\n" +
-    "il3a4b\n" +
-    "i4lade\n" +
-    "i2l5am\n" +
-    "ila5ra\n" +
-    "i3leg\n" +
-    "il1er\n" +
-    "ilev4\n" +
-    "il5f\n" +
-    "il1i\n" +
-    "il3ia\n" +
-    "il2ib\n" +
-    "il3io\n" +
-    "il4ist\n" +
-    "2ilit\n" +
-    "il2iz\n" +
-    "ill5ab\n" +
-    "4iln\n" +
-    "il3oq\n" +
-    "il4ty\n" +
-    "il5ur\n" +
-    "il3v\n" +
-    "i4mag\n" +
-    "im3age\n" +
-    "ima5ry\n" +
-    "imenta5r\n" +
-    "4imet\n" +
-    "im1i\n" +
-    "im5ida\n" +
-    "imi5le\n" +
-    "i5mini\n" +
-    "4imit\n" +
-    "im4ni\n" +
-    "i3mon\n" +
-    "i2mu\n" +
-    "im3ula\n" +
-    "2in.\n" +
-    "i4n3au\n" +
-    "4inav\n" +
-    "incel4\n" +
-    "in3cer\n" +
-    "4ind\n" +
-    "in5dling\n" +
-    "2ine\n" +
-    "i3nee\n" +
-    "iner4ar\n" +
-    "i5ness\n" +
-    "4inga\n" +
-    "4inge\n" +
-    "in5gen\n" +
-    "4ingi\n" +
-    "in5gling\n" +
-    "4ingo\n" +
-    "4ingu\n" +
-    "2ini\n" +
-    "i5ni.\n" +
-    "i4nia\n" +
-    "in3io\n" +
-    "in1is\n" +
-    "i5nite.\n" +
-    "5initio\n" +
-    "in3ity\n" +
-    "4ink\n" +
-    "4inl\n" +
-    "2inn\n" +
-    "2i1no\n" +
-    "i4no4c\n" +
-    "ino4s\n" +
-    "i4not\n" +
-    "2ins\n" +
-    "in3se\n" +
-    "insur5a\n" +
-    "2int.\n" +
-    "2in4th\n" +
-    "in1u\n" +
-    "i5nus\n" +
-    "4iny\n" +
-    "2io\n" +
-    "4io.\n" +
-    "ioge4\n" +
-    "io2gr\n" +
-    "i1ol\n" +
-    "io4m\n" +
-    "ion3at\n" +
-    "ion4ery\n" +
-    "ion3i\n" +
-    "io5ph\n" +
-    "ior3i\n" +
-    "i4os\n" +
-    "io5th\n" +
-    "i5oti\n" +
-    "io4to\n" +
-    "i4our\n" +
-    "2ip\n" +
-    "ipe4\n" +
-    "iphras4\n" +
-    "ip3i\n" +
-    "ip4ic\n" +
-    "ip4re4\n" +
-    "ip3ul\n" +
-    "i3qua\n" +
-    "iq5uef\n" +
-    "iq3uid\n" +
-    "iq3ui3t\n" +
-    "4ir\n" +
-    "i1ra\n" +
-    "ira4b\n" +
-    "i4rac\n" +
-    "ird5e\n" +
-    "ire4de\n" +
-    "i4ref\n" +
-    "i4rel4\n" +
-    "i4res\n" +
-    "ir5gi\n" +
-    "ir1i\n" +
-    "iri5de\n" +
-    "ir4is\n" +
-    "iri3tu\n" +
-    "5i5r2iz\n" +
-    "ir4min\n" +
-    "iro4g\n" +
-    "5iron.\n" +
-    "ir5ul\n" +
-    "2is.\n" +
-    "is5ag\n" +
-    "is3ar\n" +
-    "isas5\n" +
-    "2is1c\n" +
-    "is3ch\n" +
-    "4ise\n" +
-    "is3er\n" +
-    "3isf\n" +
-    "is5han\n" +
-    "is3hon\n" +
-    "ish5op\n" +
-    "is3ib\n" +
-    "isi4d\n" +
-    "i5sis\n" +
-    "is5itiv\n" +
-    "4is4k\n" +
-    "islan4\n" +
-    "4isms\n" +
-    "i2so\n" +
-    "iso5mer\n" +
-    "is1p\n" +
-    "is2pi\n" +
-    "is4py\n" +
-    "4is1s\n" +
-    "is4sal\n" +
-    "issen4\n" +
-    "is4ses\n" +
-    "is4ta.\n" +
-    "is1te\n" +
-    "is1ti\n" +
-    "ist4ly\n" +
-    "4istral\n" +
-    "i2su\n" +
-    "is5us\n" +
-    "4ita.\n" +
-    "ita4bi\n" +
-    "i4tag\n" +
-    "4ita5m\n" +
-    "i3tan\n" +
-    "i3tat\n" +
-    "2ite\n" +
-    "it3era\n" +
-    "i5teri\n" +
-    "it4es\n" +
-    "2ith\n" +
-    "i1ti\n" +
-    "4itia\n" +
-    "4i2tic\n" +
-    "it3ica\n" +
-    "5i5tick\n" +
-    "it3ig\n" +
-    "it5ill\n" +
-    "i2tim\n" +
-    "2itio\n" +
-    "4itis\n" +
-    "i4tism\n" +
-    "i2t5o5m\n" +
-    "4iton\n" +
-    "i4tram\n" +
-    "it5ry\n" +
-    "4itt\n" +
-    "it3uat\n" +
-    "i5tud\n" +
-    "it3ul\n" +
-    "4itz.\n" +
-    "i1u\n" +
-    "2iv\n" +
-    "iv3ell\n" +
-    "iv3en.\n" +
-    "i4v3er.\n" +
-    "i4vers.\n" +
-    "iv5il.\n" +
-    "iv5io\n" +
-    "iv1it\n" +
-    "i5vore\n" +
-    "iv3o3ro\n" +
-    "i4v3ot\n" +
-    "4i5w\n" +
-    "ix4o\n" +
-    "4iy\n" +
-    "4izar\n" +
-    "izi4\n" +
-    "5izont\n" +
-    "5ja\n" +
-    "jac4q\n" +
-    "ja4p\n" +
-    "1je\n" +
-    "jer5s\n" +
-    "4jestie\n" +
-    "4jesty\n" +
-    "jew3\n" +
-    "jo4p\n" +
-    "5judg\n" +
-    "3ka.\n" +
-    "k3ab\n" +
-    "k5ag\n" +
-    "kais4\n" +
-    "kal4\n" +
-    "k1b\n" +
-    "k2ed\n" +
-    "1kee\n" +
-    "ke4g\n" +
-    "ke5li\n" +
-    "k3en4d\n" +
-    "k1er\n" +
-    "kes4\n" +
-    "k3est.\n" +
-    "ke4ty\n" +
-    "k3f\n" +
-    "kh4\n" +
-    "k1i\n" +
-    "5ki.\n" +
-    "5k2ic\n" +
-    "k4ill\n" +
-    "kilo5\n" +
-    "k4im\n" +
-    "k4in.\n" +
-    "kin4de\n" +
-    "k5iness\n" +
-    "kin4g\n" +
-    "ki4p\n" +
-    "kis4\n" +
-    "k5ish\n" +
-    "kk4\n" +
-    "k1l\n" +
-    "4kley\n" +
-    "4kly\n" +
-    "k1m\n" +
-    "k5nes\n" +
-    "1k2no\n" +
-    "ko5r\n" +
-    "kosh4\n" +
-    "k3ou\n" +
-    "kro5n\n" +
-    "4k1s2\n" +
-    "k4sc\n" +
-    "ks4l\n" +
-    "k4sy\n" +
-    "k5t\n" +
-    "k1w\n" +
-    "lab3ic\n" +
-    "l4abo\n" +
-    "laci4\n" +
-    "l4ade\n" +
-    "la3dy\n" +
-    "lag4n\n" +
-    "lam3o\n" +
-    "3land\n" +
-    "lan4dl\n" +
-    "lan5et\n" +
-    "lan4te\n" +
-    "lar4g\n" +
-    "lar3i\n" +
-    "las4e\n" +
-    "la5tan\n" +
-    "4lateli\n" +
-    "4lativ\n" +
-    "4lav\n" +
-    "la4v4a\n" +
-    "2l1b\n" +
-    "lbin4\n" +
-    "4l1c2\n" +
-    "lce4\n" +
-    "l3ci\n" +
-    "2ld\n" +
-    "l2de\n" +
-    "ld4ere\n" +
-    "ld4eri\n" +
-    "ldi4\n" +
-    "ld5is\n" +
-    "l3dr\n" +
-    "l4dri\n" +
-    "le2a\n" +
-    "le4bi\n" +
-    "left5\n" +
-    "5leg.\n" +
-    "5legg\n" +
-    "le4mat\n" +
-    "lem5atic\n" +
-    "4len.\n" +
-    "3lenc\n" +
-    "5lene.\n" +
-    "1lent\n" +
-    "le3ph\n" +
-    "le4pr\n" +
-    "lera5b\n" +
-    "ler4e\n" +
-    "3lerg\n" +
-    "3l4eri\n" +
-    "l4ero\n" +
-    "les2\n" +
-    "le5sco\n" +
-    "5lesq\n" +
-    "3less\n" +
-    "5less.\n" +
-    "l3eva\n" +
-    "lev4er.\n" +
-    "lev4era\n" +
-    "lev4ers\n" +
-    "3ley\n" +
-    "4leye\n" +
-    "2lf\n" +
-    "l5fr\n" +
-    "4l1g4\n" +
-    "l5ga\n" +
-    "lgar3\n" +
-    "l4ges\n" +
-    "lgo3\n" +
-    "2l3h\n" +
-    "li4ag\n" +
-    "li2am\n" +
-    "liar5iz\n" +
-    "li4as\n" +
-    "li4ato\n" +
-    "li5bi\n" +
-    "5licio\n" +
-    "li4cor\n" +
-    "4lics\n" +
-    "4lict.\n" +
-    "l4icu\n" +
-    "l3icy\n" +
-    "l3ida\n" +
-    "lid5er\n" +
-    "3lidi\n" +
-    "lif3er\n" +
-    "l4iff\n" +
-    "li4fl\n" +
-    "5ligate\n" +
-    "3ligh\n" +
-    "li4gra\n" +
-    "3lik\n" +
-    "4l4i4l\n" +
-    "lim4bl\n" +
-    "lim3i\n" +
-    "li4mo\n" +
-    "l4im4p\n" +
-    "l4ina\n" +
-    "1l4ine\n" +
-    "lin3ea\n" +
-    "lin3i\n" +
-    "link5er\n" +
-    "li5og\n" +
-    "4l4iq\n" +
-    "lis4p\n" +
-    "l1it\n" +
-    "l2it.\n" +
-    "5litica\n" +
-    "l5i5tics\n" +
-    "liv3er\n" +
-    "l1iz\n" +
-    "4lj\n" +
-    "lka3\n" +
-    "l3kal\n" +
-    "lka4t\n" +
-    "l1l\n" +
-    "l4law\n" +
-    "l2le\n" +
-    "l5lea\n" +
-    "l3lec\n" +
-    "l3leg\n" +
-    "l3lel\n" +
-    "l3le4n\n" +
-    "l3le4t\n" +
-    "ll2i\n" +
-    "l2lin4\n" +
-    "l5lina\n" +
-    "ll4o\n" +
-    "lloqui5\n" +
-    "ll5out\n" +
-    "l5low\n" +
-    "2lm\n" +
-    "l5met\n" +
-    "lm3ing\n" +
-    "l4mod\n" +
-    "lmon4\n" +
-    "2l1n2\n" +
-    "3lo.\n" +
-    "lob5al\n" +
-    "lo4ci\n" +
-    "4lof\n" +
-    "3logic\n" +
-    "l5ogo\n" +
-    "3logu\n" +
-    "lom3er\n" +
-    "5long\n" +
-    "lon4i\n" +
-    "l3o3niz\n" +
-    "lood5\n" +
-    "5lope.\n" +
-    "lop3i\n" +
-    "l3opm\n" +
-    "lora4\n" +
-    "lo4rato\n" +
-    "lo5rie\n" +
-    "lor5ou\n" +
-    "5los.\n" +
-    "los5et\n" +
-    "5losophiz\n" +
-    "5losophy\n" +
-    "los4t\n" +
-    "lo4ta\n" +
-    "loun5d\n" +
-    "2lout\n" +
-    "4lov\n" +
-    "2lp\n" +
-    "lpa5b\n" +
-    "l3pha\n" +
-    "l5phi\n" +
-    "lp5ing\n" +
-    "l3pit\n" +
-    "l4pl\n" +
-    "l5pr\n" +
-    "4l1r\n" +
-    "2l1s2\n" +
-    "l4sc\n" +
-    "l2se\n" +
-    "l4sie\n" +
-    "4lt\n" +
-    "lt5ag\n" +
-    "ltane5\n" +
-    "l1te\n" +
-    "lten4\n" +
-    "ltera4\n" +
-    "lth3i\n" +
-    "l5ties.\n" +
-    "ltis4\n" +
-    "l1tr\n" +
-    "ltu2\n" +
-    "ltur3a\n" +
-    "lu5a\n" +
-    "lu3br\n" +
-    "luch4\n" +
-    "lu3ci\n" +
-    "lu3en\n" +
-    "luf4\n" +
-    "lu5id\n" +
-    "lu4ma\n" +
-    "5lumi\n" +
-    "l5umn.\n" +
-    "5lumnia\n" +
-    "lu3o\n" +
-    "luo3r\n" +
-    "4lup\n" +
-    "luss4\n" +
-    "lus3te\n" +
-    "1lut\n" +
-    "l5ven\n" +
-    "l5vet4\n" +
-    "2l1w\n" +
-    "1ly\n" +
-    "4lya\n" +
-    "4lyb\n" +
-    "ly5me\n" +
-    "ly3no\n" +
-    "2lys4\n" +
-    "l5yse\n" +
-    "1ma\n" +
-    "2mab\n" +
-    "ma2ca\n" +
-    "ma5chine\n" +
-    "ma4cl\n" +
-    "mag5in\n" +
-    "5magn\n" +
-    "2mah\n" +
-    "maid5\n" +
-    "4mald\n" +
-    "ma3lig\n" +
-    "ma5lin\n" +
-    "mal4li\n" +
-    "mal4ty\n" +
-    "5mania\n" +
-    "man5is\n" +
-    "man3iz\n" +
-    "4map\n" +
-    "ma5rine.\n" +
-    "ma5riz\n" +
-    "mar4ly\n" +
-    "mar3v\n" +
-    "ma5sce\n" +
-    "mas4e\n" +
-    "mas1t\n" +
-    "5mate\n" +
-    "math3\n" +
-    "ma3tis\n" +
-    "4matiza\n" +
-    "4m1b\n" +
-    "mba4t5\n" +
-    "m5bil\n" +
-    "m4b3ing\n" +
-    "mbi4v\n" +
-    "4m5c\n" +
-    "4me.\n" +
-    "2med\n" +
-    "4med.\n" +
-    "5media\n" +
-    "me3die\n" +
-    "m5e5dy\n" +
-    "me2g\n" +
-    "mel5on\n" +
-    "mel4t\n" +
-    "me2m\n" +
-    "mem1o3\n" +
-    "1men\n" +
-    "men4a\n" +
-    "men5ac\n" +
-    "men4de\n" +
-    "4mene\n" +
-    "men4i\n" +
-    "mens4\n" +
-    "mensu5\n" +
-    "3ment\n" +
-    "men4te\n" +
-    "me5on\n" +
-    "m5ersa\n" +
-    "2mes\n" +
-    "3mesti\n" +
-    "me4ta\n" +
-    "met3al\n" +
-    "me1te\n" +
-    "me5thi\n" +
-    "m4etr\n" +
-    "5metric\n" +
-    "me5trie\n" +
-    "me3try\n" +
-    "me4v\n" +
-    "4m1f\n" +
-    "2mh\n" +
-    "5mi.\n" +
-    "mi3a\n" +
-    "mid4a\n" +
-    "mid4g\n" +
-    "mig4\n" +
-    "3milia\n" +
-    "m5i5lie\n" +
-    "m4ill\n" +
-    "min4a\n" +
-    "3mind\n" +
-    "m5inee\n" +
-    "m4ingl\n" +
-    "min5gli\n" +
-    "m5ingly\n" +
-    "min4t\n" +
-    "m4inu\n" +
-    "miot4\n" +
-    "m2is\n" +
-    "mis4er.\n" +
-    "mis5l\n" +
-    "mis4ti\n" +
-    "m5istry\n" +
-    "4mith\n" +
-    "m2iz\n" +
-    "4mk\n" +
-    "4m1l\n" +
-    "m1m\n" +
-    "mma5ry\n" +
-    "4m1n\n" +
-    "mn4a\n" +
-    "m4nin\n" +
-    "mn4o\n" +
-    "1mo\n" +
-    "4mocr\n" +
-    "5mocratiz\n" +
-    "mo2d1\n" +
-    "mo4go\n" +
-    "mois2\n" +
-    "moi5se\n" +
-    "4mok\n" +
-    "mo5lest\n" +
-    "mo3me\n" +
-    "mon5et\n" +
-    "mon5ge\n" +
-    "moni3a\n" +
-    "mon4ism\n" +
-    "mon4ist\n" +
-    "mo3niz\n" +
-    "monol4\n" +
-    "mo3ny.\n" +
-    "mo2r\n" +
-    "4mora.\n" +
-    "mos2\n" +
-    "mo5sey\n" +
-    "mo3sp\n" +
-    "moth3\n" +
-    "m5ouf\n" +
-    "3mous\n" +
-    "mo2v\n" +
-    "4m1p\n" +
-    "mpara5\n" +
-    "mpa5rab\n" +
-    "mpar5i\n" +
-    "m3pet\n" +
-    "mphas4\n" +
-    "m2pi\n" +
-    "mpi4a\n" +
-    "mp5ies\n" +
-    "m4p1in\n" +
-    "m5pir\n" +
-    "mp5is\n" +
-    "mpo3ri\n" +
-    "mpos5ite\n" +
-    "m4pous\n" +
-    "mpov5\n" +
-    "mp4tr\n" +
-    "m2py\n" +
-    "4m3r\n" +
-    "4m1s2\n" +
-    "m4sh\n" +
-    "m5si\n" +
-    "4mt\n" +
-    "1mu\n" +
-    "mula5r4\n" +
-    "5mult\n" +
-    "multi3\n" +
-    "3mum\n" +
-    "mun2\n" +
-    "4mup\n" +
-    "mu4u\n" +
-    "4mw\n" +
-    "1na\n" +
-    "2n1a2b\n" +
-    "n4abu\n" +
-    "4nac.\n" +
-    "na4ca\n" +
-    "n5act\n" +
-    "nag5er.\n" +
-    "nak4\n" +
-    "na4li\n" +
-    "na5lia\n" +
-    "4nalt\n" +
-    "na5mit\n" +
-    "n2an\n" +
-    "nanci4\n" +
-    "nan4it\n" +
-    "nank4\n" +
-    "nar3c\n" +
-    "4nare\n" +
-    "nar3i\n" +
-    "nar4l\n" +
-    "n5arm\n" +
-    "n4as\n" +
-    "nas4c\n" +
-    "nas5ti\n" +
-    "n2at\n" +
-    "na3tal\n" +
-    "nato5miz\n" +
-    "n2au\n" +
-    "nau3se\n" +
-    "3naut\n" +
-    "nav4e\n" +
-    "4n1b4\n" +
-    "ncar5\n" +
-    "n4ces.\n" +
-    "n3cha\n" +
-    "n5cheo\n" +
-    "n5chil\n" +
-    "n3chis\n" +
-    "nc1in\n" +
-    "nc4it\n" +
-    "ncour5a\n" +
-    "n1cr\n" +
-    "n1cu\n" +
-    "n4dai\n" +
-    "n5dan\n" +
-    "n1de\n" +
-    "nd5est.\n" +
-    "ndi4b\n" +
-    "n5d2if\n" +
-    "n1dit\n" +
-    "n3diz\n" +
-    "n5duc\n" +
-    "ndu4r\n" +
-    "nd2we\n" +
-    "2ne.\n" +
-    "n3ear\n" +
-    "ne2b\n" +
-    "neb3u\n" +
-    "ne2c\n" +
-    "5neck\n" +
-    "2ned\n" +
-    "ne4gat\n" +
-    "neg5ativ\n" +
-    "5nege\n" +
-    "ne4la\n" +
-    "nel5iz\n" +
-    "ne5mi\n" +
-    "ne4mo\n" +
-    "1nen\n" +
-    "4nene\n" +
-    "3neo\n" +
-    "ne4po\n" +
-    "ne2q\n" +
-    "n1er\n" +
-    "nera5b\n" +
-    "n4erar\n" +
-    "n2ere\n" +
-    "n4er5i\n" +
-    "ner4r\n" +
-    "1nes\n" +
-    "2nes.\n" +
-    "4nesp\n" +
-    "2nest\n" +
-    "4nesw\n" +
-    "3netic\n" +
-    "ne4v\n" +
-    "n5eve\n" +
-    "ne4w\n" +
-    "n3f\n" +
-    "n4gab\n" +
-    "n3gel\n" +
-    "nge4n4e\n" +
-    "n5gere\n" +
-    "n3geri\n" +
-    "ng5ha\n" +
-    "n3gib\n" +
-    "ng1in\n" +
-    "n5git\n" +
-    "n4gla\n" +
-    "ngov4\n" +
-    "ng5sh\n" +
-    "n1gu\n" +
-    "n4gum\n" +
-    "n2gy\n" +
-    "4n1h4\n" +
-    "nha4\n" +
-    "nhab3\n" +
-    "nhe4\n" +
-    "3n4ia\n" +
-    "ni3an\n" +
-    "ni4ap\n" +
-    "ni3ba\n" +
-    "ni4bl\n" +
-    "ni4d\n" +
-    "ni5di\n" +
-    "ni4er\n" +
-    "ni2fi\n" +
-    "ni5ficat\n" +
-    "n5igr\n" +
-    "nik4\n" +
-    "n1im\n" +
-    "ni3miz\n" +
-    "n1in\n" +
-    "5nine.\n" +
-    "nin4g\n" +
-    "ni4o\n" +
-    "5nis.\n" +
-    "nis4ta\n" +
-    "n2it\n" +
-    "n4ith\n" +
-    "3nitio\n" +
-    "n3itor\n" +
-    "ni3tr\n" +
-    "n1j\n" +
-    "4nk2\n" +
-    "n5kero\n" +
-    "n3ket\n" +
-    "nk3in\n" +
-    "n1kl\n" +
-    "4n1l\n" +
-    "n5m\n" +
-    "nme4\n" +
-    "nmet4\n" +
-    "4n1n2\n" +
-    "nne4\n" +
-    "nni3al\n" +
-    "nni4v\n" +
-    "nob4l\n" +
-    "no3ble\n" +
-    "n5ocl\n" +
-    "4n3o2d\n" +
-    "3noe\n" +
-    "4nog\n" +
-    "noge4\n" +
-    "nois5i\n" +
-    "no5l4i\n" +
-    "5nologis\n" +
-    "3nomic\n" +
-    "n5o5miz\n" +
-    "no4mo\n" +
-    "no3my\n" +
-    "no4n\n" +
-    "non4ag\n" +
-    "non5i\n" +
-    "n5oniz\n" +
-    "4nop\n" +
-    "5nop5o5li\n" +
-    "nor5ab\n" +
-    "no4rary\n" +
-    "4nosc\n" +
-    "nos4e\n" +
-    "nos5t\n" +
-    "no5ta\n" +
-    "1nou\n" +
-    "3noun\n" +
-    "nov3el3\n" +
-    "nowl3\n" +
-    "n1p4\n" +
-    "npi4\n" +
-    "npre4c\n" +
-    "n1q\n" +
-    "n1r\n" +
-    "nru4\n" +
-    "2n1s2\n" +
-    "ns5ab\n" +
-    "nsati4\n" +
-    "ns4c\n" +
-    "n2se\n" +
-    "n4s3es\n" +
-    "nsid1\n" +
-    "nsig4\n" +
-    "n2sl\n" +
-    "ns3m\n" +
-    "n4soc\n" +
-    "ns4pe\n" +
-    "n5spi\n" +
-    "nsta5bl\n" +
-    "n1t\n" +
-    "nta4b\n" +
-    "nter3s\n" +
-    "nt2i\n" +
-    "n5tib\n" +
-    "nti4er\n" +
-    "nti2f\n" +
-    "n3tine\n" +
-    "n4t3ing\n" +
-    "nti4p\n" +
-    "ntrol5li\n" +
-    "nt4s\n" +
-    "ntu3me\n" +
-    "nu1a\n" +
-    "nu4d\n" +
-    "nu5en\n" +
-    "nuf4fe\n" +
-    "n3uin\n" +
-    "3nu3it\n" +
-    "n4um\n" +
-    "nu1me\n" +
-    "n5umi\n" +
-    "3nu4n\n" +
-    "n3uo\n" +
-    "nu3tr\n" +
-    "n1v2\n" +
-    "n1w4\n" +
-    "nym4\n" +
-    "nyp4\n" +
-    "4nz\n" +
-    "n3za\n" +
-    "4oa\n" +
-    "oad3\n" +
-    "o5a5les\n" +
-    "oard3\n" +
-    "oas4e\n" +
-    "oast5e\n" +
-    "oat5i\n" +
-    "ob3a3b\n" +
-    "o5bar\n" +
-    "obe4l\n" +
-    "o1bi\n" +
-    "o2bin\n" +
-    "ob5ing\n" +
-    "o3br\n" +
-    "ob3ul\n" +
-    "o1ce\n" +
-    "och4\n" +
-    "o3chet\n" +
-    "ocif3\n" +
-    "o4cil\n" +
-    "o4clam\n" +
-    "o4cod\n" +
-    "oc3rac\n" +
-    "oc5ratiz\n" +
-    "ocre3\n" +
-    "5ocrit\n" +
-    "octor5a\n" +
-    "oc3ula\n" +
-    "o5cure\n" +
-    "od5ded\n" +
-    "od3ic\n" +
-    "odi3o\n" +
-    "o2do4\n" +
-    "odor3\n" +
-    "od5uct.\n" +
-    "od5ucts\n" +
-    "o4el\n" +
-    "o5eng\n" +
-    "o3er\n" +
-    "oe4ta\n" +
-    "o3ev\n" +
-    "o2fi\n" +
-    "of5ite\n" +
-    "ofit4t\n" +
-    "o2g5a5r\n" +
-    "og5ativ\n" +
-    "o4gato\n" +
-    "o1ge\n" +
-    "o5gene\n" +
-    "o5geo\n" +
-    "o4ger\n" +
-    "o3gie\n" +
-    "1o1gis\n" +
-    "og3it\n" +
-    "o4gl\n" +
-    "o5g2ly\n" +
-    "3ogniz\n" +
-    "o4gro\n" +
-    "ogu5i\n" +
-    "1ogy\n" +
-    "2ogyn\n" +
-    "o1h2\n" +
-    "ohab5\n" +
-    "oi2\n" +
-    "oic3es\n" +
-    "oi3der\n" +
-    "oiff4\n" +
-    "oig4\n" +
-    "oi5let\n" +
-    "o3ing\n" +
-    "oint5er\n" +
-    "o5ism\n" +
-    "oi5son\n" +
-    "oist5en\n" +
-    "oi3ter\n" +
-    "o5j\n" +
-    "2ok\n" +
-    "o3ken\n" +
-    "ok5ie\n" +
-    "o1la\n" +
-    "o4lan\n" +
-    "olass4\n" +
-    "ol2d\n" +
-    "old1e\n" +
-    "ol3er\n" +
-    "o3lesc\n" +
-    "o3let\n" +
-    "ol4fi\n" +
-    "ol2i\n" +
-    "o3lia\n" +
-    "o3lice\n" +
-    "ol5id.\n" +
-    "o3li4f\n" +
-    "o5lil\n" +
-    "ol3ing\n" +
-    "o5lio\n" +
-    "o5lis.\n" +
-    "ol3ish\n" +
-    "o5lite\n" +
-    "o5litio\n" +
-    "o5liv\n" +
-    "olli4e\n" +
-    "ol5ogiz\n" +
-    "olo4r\n" +
-    "ol5pl\n" +
-    "ol2t\n" +
-    "ol3ub\n" +
-    "ol3ume\n" +
-    "ol3un\n" +
-    "o5lus\n" +
-    "ol2v\n" +
-    "o2ly\n" +
-    "om5ah\n" +
-    "oma5l\n" +
-    "om5atiz\n" +
-    "om2be\n" +
-    "om4bl\n" +
-    "o2me\n" +
-    "om3ena\n" +
-    "om5erse\n" +
-    "o4met\n" +
-    "om5etry\n" +
-    "o3mia\n" +
-    "om3ic.\n" +
-    "om3ica\n" +
-    "o5mid\n" +
-    "om1in\n" +
-    "o5mini\n" +
-    "5ommend\n" +
-    "omo4ge\n" +
-    "o4mon\n" +
-    "om3pi\n" +
-    "ompro5\n" +
-    "o2n\n" +
-    "on1a\n" +
-    "on4ac\n" +
-    "o3nan\n" +
-    "on1c\n" +
-    "3oncil\n" +
-    "2ond\n" +
-    "on5do\n" +
-    "o3nen\n" +
-    "on5est\n" +
-    "on4gu\n" +
-    "on1ic\n" +
-    "o3nio\n" +
-    "on1is\n" +
-    "o5niu\n" +
-    "on3key\n" +
-    "on4odi\n" +
-    "on3omy\n" +
-    "on3s\n" +
-    "onspi4\n" +
-    "onspir5a\n" +
-    "onsu4\n" +
-    "onten4\n" +
-    "on3t4i\n" +
-    "ontif5\n" +
-    "on5um\n" +
-    "onva5\n" +
-    "oo2\n" +
-    "ood5e\n" +
-    "ood5i\n" +
-    "oo4k\n" +
-    "oop3i\n" +
-    "o3ord\n" +
-    "oost5\n" +
-    "o2pa\n" +
-    "ope5d\n" +
-    "op1er\n" +
-    "3opera\n" +
-    "4operag\n" +
-    "2oph\n" +
-    "o5phan\n" +
-    "o5pher\n" +
-    "op3ing\n" +
-    "o3pit\n" +
-    "o5pon\n" +
-    "o4posi\n" +
-    "o1pr\n" +
-    "op1u\n" +
-    "opy5\n" +
-    "o1q\n" +
-    "o1ra\n" +
-    "o5ra.\n" +
-    "o4r3ag\n" +
-    "or5aliz\n" +
-    "or5ange\n" +
-    "ore5a\n" +
-    "o5real\n" +
-    "or3ei\n" +
-    "ore5sh\n" +
-    "or5est.\n" +
-    "orew4\n" +
-    "or4gu\n" +
-    "4o5ria\n" +
-    "or3ica\n" +
-    "o5ril\n" +
-    "or1in\n" +
-    "o1rio\n" +
-    "or3ity\n" +
-    "o3riu\n" +
-    "or2mi\n" +
-    "orn2e\n" +
-    "o5rof\n" +
-    "or3oug\n" +
-    "or5pe\n" +
-    "3orrh\n" +
-    "or4se\n" +
-    "ors5en\n" +
-    "orst4\n" +
-    "or3thi\n" +
-    "or3thy\n" +
-    "or4ty\n" +
-    "o5rum\n" +
-    "o1ry\n" +
-    "os3al\n" +
-    "os2c\n" +
-    "os4ce\n" +
-    "o3scop\n" +
-    "4oscopi\n" +
-    "o5scr\n" +
-    "os4i4e\n" +
-    "os5itiv\n" +
-    "os3ito\n" +
-    "os3ity\n" +
-    "osi4u\n" +
-    "os4l\n" +
-    "o2so\n" +
-    "os4pa\n" +
-    "os4po\n" +
-    "os2ta\n" +
-    "o5stati\n" +
-    "os5til\n" +
-    "os5tit\n" +
-    "o4tan\n" +
-    "otele4g\n" +
-    "ot3er.\n" +
-    "ot5ers\n" +
-    "o4tes\n" +
-    "4oth\n" +
-    "oth5esi\n" +
-    "oth3i4\n" +
-    "ot3ic.\n" +
-    "ot5ica\n" +
-    "o3tice\n" +
-    "o3tif\n" +
-    "o3tis\n" +
-    "oto5s\n" +
-    "ou2\n" +
-    "ou3bl\n" +
-    "ouch5i\n" +
-    "ou5et\n" +
-    "ou4l\n" +
-    "ounc5er\n" +
-    "oun2d\n" +
-    "ou5v\n" +
-    "ov4en\n" +
-    "over4ne\n" +
-    "over3s\n" +
-    "ov4ert\n" +
-    "o3vis\n" +
-    "oviti4\n" +
-    "o5v4ol\n" +
-    "ow3der\n" +
-    "ow3el\n" +
-    "ow5est\n" +
-    "ow1i\n" +
-    "own5i\n" +
-    "o4wo\n" +
-    "oy1a\n" +
-    "1pa\n" +
-    "pa4ca\n" +
-    "pa4ce\n" +
-    "pac4t\n" +
-    "p4ad\n" +
-    "5pagan\n" +
-    "p3agat\n" +
-    "p4ai\n" +
-    "pain4\n" +
-    "p4al\n" +
-    "pan4a\n" +
-    "pan3el\n" +
-    "pan4ty\n" +
-    "pa3ny\n" +
-    "pa1p\n" +
-    "pa4pu\n" +
-    "para5bl\n" +
-    "par5age\n" +
-    "par5di\n" +
-    "3pare\n" +
-    "par5el\n" +
-    "p4a4ri\n" +
-    "par4is\n" +
-    "pa2te\n" +
-    "pa5ter\n" +
-    "5pathic\n" +
-    "pa5thy\n" +
-    "pa4tric\n" +
-    "pav4\n" +
-    "3pay\n" +
-    "4p1b\n" +
-    "pd4\n" +
-    "4pe.\n" +
-    "3pe4a\n" +
-    "pear4l\n" +
-    "pe2c\n" +
-    "2p2ed\n" +
-    "3pede\n" +
-    "3pedi\n" +
-    "pedia4\n" +
-    "ped4ic\n" +
-    "p4ee\n" +
-    "pee4d\n" +
-    "pek4\n" +
-    "pe4la\n" +
-    "peli4e\n" +
-    "pe4nan\n" +
-    "p4enc\n" +
-    "pen4th\n" +
-    "pe5on\n" +
-    "p4era.\n" +
-    "pera5bl\n" +
-    "p4erag\n" +
-    "p4eri\n" +
-    "peri5st\n" +
-    "per4mal\n" +
-    "perme5\n" +
-    "p4ern\n" +
-    "per3o\n" +
-    "per3ti\n" +
-    "pe5ru\n" +
-    "per1v\n" +
-    "pe2t\n" +
-    "pe5ten\n" +
-    "pe5tiz\n" +
-    "4pf\n" +
-    "4pg\n" +
-    "4ph.\n" +
-    "phar5i\n" +
-    "phe3no\n" +
-    "ph4er\n" +
-    "ph4es.\n" +
-    "ph1ic\n" +
-    "5phie\n" +
-    "ph5ing\n" +
-    "5phisti\n" +
-    "3phiz\n" +
-    "ph2l\n" +
-    "3phob\n" +
-    "3phone\n" +
-    "5phoni\n" +
-    "pho4r\n" +
-    "4phs\n" +
-    "ph3t\n" +
-    "5phu\n" +
-    "1phy\n" +
-    "pi3a\n" +
-    "pian4\n" +
-    "pi4cie\n" +
-    "pi4cy\n" +
-    "p4id\n" +
-    "p5ida\n" +
-    "pi3de\n" +
-    "5pidi\n" +
-    "3piec\n" +
-    "pi3en\n" +
-    "pi4grap\n" +
-    "pi3lo\n" +
-    "pi2n\n" +
-    "p4in.\n" +
-    "pind4\n" +
-    "p4ino\n" +
-    "3pi1o\n" +
-    "pion4\n" +
-    "p3ith\n" +
-    "pi5tha\n" +
-    "pi2tu\n" +
-    "2p3k2\n" +
-    "1p2l2\n" +
-    "3plan\n" +
-    "plas5t\n" +
-    "pli3a\n" +
-    "pli5er\n" +
-    "4plig\n" +
-    "pli4n\n" +
-    "ploi4\n" +
-    "plu4m\n" +
-    "plum4b\n" +
-    "4p1m\n" +
-    "2p3n\n" +
-    "po4c\n" +
-    "5pod.\n" +
-    "po5em\n" +
-    "po3et5\n" +
-    "5po4g\n" +
-    "poin2\n" +
-    "5point\n" +
-    "poly5t\n" +
-    "po4ni\n" +
-    "po4p\n" +
-    "1p4or\n" +
-    "po4ry\n" +
-    "1pos\n" +
-    "pos1s\n" +
-    "p4ot\n" +
-    "po4ta\n" +
-    "5poun\n" +
-    "4p1p\n" +
-    "ppa5ra\n" +
-    "p2pe\n" +
-    "p4ped\n" +
-    "p5pel\n" +
-    "p3pen\n" +
-    "p3per\n" +
-    "p3pet\n" +
-    "ppo5site\n" +
-    "pr2\n" +
-    "pray4e\n" +
-    "5preci\n" +
-    "pre5co\n" +
-    "pre3em\n" +
-    "pref5ac\n" +
-    "pre4la\n" +
-    "pre3r\n" +
-    "p3rese\n" +
-    "3press\n" +
-    "pre5ten\n" +
-    "pre3v\n" +
-    "5pri4e\n" +
-    "prin4t3\n" +
-    "pri4s\n" +
-    "pris3o\n" +
-    "p3roca\n" +
-    "prof5it\n" +
-    "pro3l\n" +
-    "pros3e\n" +
-    "pro1t\n" +
-    "2p1s2\n" +
-    "p2se\n" +
-    "ps4h\n" +
-    "p4sib\n" +
-    "2p1t\n" +
-    "pt5a4b\n" +
-    "p2te\n" +
-    "p2th\n" +
-    "pti3m\n" +
-    "ptu4r\n" +
-    "p4tw\n" +
-    "pub3\n" +
-    "pue4\n" +
-    "puf4\n" +
-    "pul3c\n" +
-    "pu4m\n" +
-    "pu2n\n" +
-    "pur4r\n" +
-    "5pus\n" +
-    "pu2t\n" +
-    "5pute\n" +
-    "put3er\n" +
-    "pu3tr\n" +
-    "put4ted\n" +
-    "put4tin\n" +
-    "p3w\n" +
-    "qu2\n" +
-    "qua5v\n" +
-    "2que.\n" +
-    "3quer\n" +
-    "3quet\n" +
-    "2rab\n" +
-    "ra3bi\n" +
-    "rach4e\n" +
-    "r5acl\n" +
-    "raf5fi\n" +
-    "raf4t\n" +
-    "r2ai\n" +
-    "ra4lo\n" +
-    "ram3et\n" +
-    "r2ami\n" +
-    "rane5o\n" +
-    "ran4ge\n" +
-    "r4ani\n" +
-    "ra5no\n" +
-    "rap3er\n" +
-    "3raphy\n" +
-    "rar5c\n" +
-    "rare4\n" +
-    "rar5ef\n" +
-    "4raril\n" +
-    "r2as\n" +
-    "ration4\n" +
-    "rau4t\n" +
-    "ra5vai\n" +
-    "rav3el\n" +
-    "ra5zie\n" +
-    "r1b\n" +
-    "r4bab\n" +
-    "r4bag\n" +
-    "rbi2\n" +
-    "rbi4f\n" +
-    "r2bin\n" +
-    "r5bine\n" +
-    "rb5ing.\n" +
-    "rb4o\n" +
-    "r1c\n" +
-    "r2ce\n" +
-    "rcen4\n" +
-    "r3cha\n" +
-    "rch4er\n" +
-    "r4ci4b\n" +
-    "rc4it\n" +
-    "rcum3\n" +
-    "r4dal\n" +
-    "rd2i\n" +
-    "rdi4a\n" +
-    "rdi4er\n" +
-    "rdin4\n" +
-    "rd3ing\n" +
-    "2re.\n" +
-    "re1al\n" +
-    "re3an\n" +
-    "re5arr\n" +
-    "5reav\n" +
-    "re4aw\n" +
-    "r5ebrat\n" +
-    "rec5oll\n" +
-    "rec5ompe\n" +
-    "re4cre\n" +
-    "2r2ed\n" +
-    "re1de\n" +
-    "re3dis\n" +
-    "red5it\n" +
-    "re4fac\n" +
-    "re2fe\n" +
-    "re5fer.\n" +
-    "re3fi\n" +
-    "re4fy\n" +
-    "reg3is\n" +
-    "re5it\n" +
-    "re1li\n" +
-    "re5lu\n" +
-    "r4en4ta\n" +
-    "ren4te\n" +
-    "re1o\n" +
-    "re5pin\n" +
-    "re4posi\n" +
-    "re1pu\n" +
-    "r1er4\n" +
-    "r4eri\n" +
-    "rero4\n" +
-    "re5ru\n" +
-    "r4es.\n" +
-    "re4spi\n" +
-    "ress5ib\n" +
-    "res2t\n" +
-    "re5stal\n" +
-    "re3str\n" +
-    "re4ter\n" +
-    "re4ti4z\n" +
-    "re3tri\n" +
-    "reu2\n" +
-    "re5uti\n" +
-    "rev2\n" +
-    "re4val\n" +
-    "rev3el\n" +
-    "r5ev5er.\n" +
-    "re5vers\n" +
-    "re5vert\n" +
-    "re5vil\n" +
-    "rev5olu\n" +
-    "re4wh\n" +
-    "r1f\n" +
-    "rfu4\n" +
-    "r4fy\n" +
-    "rg2\n" +
-    "rg3er\n" +
-    "r3get\n" +
-    "r3gic\n" +
-    "rgi4n\n" +
-    "rg3ing\n" +
-    "r5gis\n" +
-    "r5git\n" +
-    "r1gl\n" +
-    "rgo4n\n" +
-    "r3gu\n" +
-    "rh4\n" +
-    "4rh.\n" +
-    "4rhal\n" +
-    "ri3a\n" +
-    "ria4b\n" +
-    "ri4ag\n" +
-    "r4ib\n" +
-    "rib3a\n" +
-    "ric5as\n" +
-    "r4ice\n" +
-    "4rici\n" +
-    "5ricid\n" +
-    "ri4cie\n" +
-    "r4ico\n" +
-    "rid5er\n" +
-    "ri3enc\n" +
-    "ri3ent\n" +
-    "ri1er\n" +
-    "ri5et\n" +
-    "rig5an\n" +
-    "5rigi\n" +
-    "ril3iz\n" +
-    "5riman\n" +
-    "rim5i\n" +
-    "3rimo\n" +
-    "rim4pe\n" +
-    "r2ina\n" +
-    "5rina.\n" +
-    "rin4d\n" +
-    "rin4e\n" +
-    "rin4g\n" +
-    "ri1o\n" +
-    "5riph\n" +
-    "riph5e\n" +
-    "ri2pl\n" +
-    "rip5lic\n" +
-    "r4iq\n" +
-    "r2is\n" +
-    "r4is.\n" +
-    "ris4c\n" +
-    "r3ish\n" +
-    "ris4p\n" +
-    "ri3ta3b\n" +
-    "r5ited.\n" +
-    "rit5er.\n" +
-    "rit5ers\n" +
-    "rit3ic\n" +
-    "ri2tu\n" +
-    "rit5ur\n" +
-    "riv5el\n" +
-    "riv3et\n" +
-    "riv3i\n" +
-    "r3j\n" +
-    "r3ket\n" +
-    "rk4le\n" +
-    "rk4lin\n" +
-    "r1l\n" +
-    "rle4\n" +
-    "r2led\n" +
-    "r4lig\n" +
-    "r4lis\n" +
-    "rl5ish\n" +
-    "r3lo4\n" +
-    "r1m\n" +
-    "rma5c\n" +
-    "r2me\n" +
-    "r3men\n" +
-    "rm5ers\n" +
-    "rm3ing\n" +
-    "r4ming.\n" +
-    "r4mio\n" +
-    "r3mit\n" +
-    "r4my\n" +
-    "r4nar\n" +
-    "r3nel\n" +
-    "r4ner\n" +
-    "r5net\n" +
-    "r3ney\n" +
-    "r5nic\n" +
-    "r1nis4\n" +
-    "r3nit\n" +
-    "r3niv\n" +
-    "rno4\n" +
-    "r4nou\n" +
-    "r3nu\n" +
-    "rob3l\n" +
-    "r2oc\n" +
-    "ro3cr\n" +
-    "ro4e\n" +
-    "ro1fe\n" +
-    "ro5fil\n" +
-    "rok2\n" +
-    "ro5ker\n" +
-    "5role.\n" +
-    "rom5ete\n" +
-    "rom4i\n" +
-    "rom4p\n" +
-    "ron4al\n" +
-    "ron4e\n" +
-    "ro5n4is\n" +
-    "ron4ta\n" +
-    "1room\n" +
-    "5root\n" +
-    "ro3pel\n" +
-    "rop3ic\n" +
-    "ror3i\n" +
-    "ro5ro\n" +
-    "ros5per\n" +
-    "ros4s\n" +
-    "ro4the\n" +
-    "ro4ty\n" +
-    "ro4va\n" +
-    "rov5el\n" +
-    "rox5\n" +
-    "r1p\n" +
-    "r4pea\n" +
-    "r5pent\n" +
-    "rp5er.\n" +
-    "r3pet\n" +
-    "rp4h4\n" +
-    "rp3ing\n" +
-    "r3po\n" +
-    "r1r4\n" +
-    "rre4c\n" +
-    "rre4f\n" +
-    "r4reo\n" +
-    "rre4st\n" +
-    "rri4o\n" +
-    "rri4v\n" +
-    "rron4\n" +
-    "rros4\n" +
-    "rrys4\n" +
-    "4rs2\n" +
-    "r1sa\n" +
-    "rsa5ti\n" +
-    "rs4c\n" +
-    "r2se\n" +
-    "r3sec\n" +
-    "rse4cr\n" +
-    "rs5er.\n" +
-    "rs3es\n" +
-    "rse5v2\n" +
-    "r1sh\n" +
-    "r5sha\n" +
-    "r1si\n" +
-    "r4si4b\n" +
-    "rson3\n" +
-    "r1sp\n" +
-    "r5sw\n" +
-    "rtach4\n" +
-    "r4tag\n" +
-    "r3teb\n" +
-    "rten4d\n" +
-    "rte5o\n" +
-    "r1ti\n" +
-    "rt5ib\n" +
-    "rti4d\n" +
-    "r4tier\n" +
-    "r3tig\n" +
-    "rtil3i\n" +
-    "rtil4l\n" +
-    "r4tily\n" +
-    "r4tist\n" +
-    "r4tiv\n" +
-    "r3tri\n" +
-    "rtroph4\n" +
-    "rt4sh\n" +
-    "ru3a\n" +
-    "ru3e4l\n" +
-    "ru3en\n" +
-    "ru4gl\n" +
-    "ru3in\n" +
-    "rum3pl\n" +
-    "ru2n\n" +
-    "runk5\n" +
-    "run4ty\n" +
-    "r5usc\n" +
-    "ruti5n\n" +
-    "rv4e\n" +
-    "rvel4i\n" +
-    "r3ven\n" +
-    "rv5er.\n" +
-    "r5vest\n" +
-    "r3vey\n" +
-    "r3vic\n" +
-    "rvi4v\n" +
-    "r3vo\n" +
-    "r1w\n" +
-    "ry4c\n" +
-    "5rynge\n" +
-    "ry3t\n" +
-    "sa2\n" +
-    "2s1ab\n" +
-    "5sack\n" +
-    "sac3ri\n" +
-    "s3act\n" +
-    "5sai\n" +
-    "salar4\n" +
-    "sal4m\n" +
-    "sa5lo\n" +
-    "sal4t\n" +
-    "3sanc\n" +
-    "san4de\n" +
-    "s1ap\n" +
-    "sa5ta\n" +
-    "5sa3tio\n" +
-    "sat3u\n" +
-    "sau4\n" +
-    "sa5vor\n" +
-    "5saw\n" +
-    "4s5b\n" +
-    "scan4t5\n" +
-    "sca4p\n" +
-    "scav5\n" +
-    "s4ced\n" +
-    "4scei\n" +
-    "s4ces\n" +
-    "sch2\n" +
-    "s4cho\n" +
-    "3s4cie\n" +
-    "5scin4d\n" +
-    "scle5\n" +
-    "s4cli\n" +
-    "scof4\n" +
-    "4scopy\n" +
-    "scour5a\n" +
-    "s1cu\n" +
-    "4s5d\n" +
-    "4se.\n" +
-    "se4a\n" +
-    "seas4\n" +
-    "sea5w\n" +
-    "se2c3o\n" +
-    "3sect\n" +
-    "4s4ed\n" +
-    "se4d4e\n" +
-    "s5edl\n" +
-    "se2g\n" +
-    "seg3r\n" +
-    "5sei\n" +
-    "se1le\n" +
-    "5self\n" +
-    "5selv\n" +
-    "4seme\n" +
-    "se4mol\n" +
-    "sen5at\n" +
-    "4senc\n" +
-    "sen4d\n" +
-    "s5ened\n" +
-    "sen5g\n" +
-    "s5enin\n" +
-    "4sentd\n" +
-    "4sentl\n" +
-    "sep3a3\n" +
-    "4s1er.\n" +
-    "s4erl\n" +
-    "ser4o\n" +
-    "4servo\n" +
-    "s1e4s\n" +
-    "se5sh\n" +
-    "ses5t\n" +
-    "5se5um\n" +
-    "5sev\n" +
-    "sev3en\n" +
-    "sew4i\n" +
-    "5sex\n" +
-    "4s3f\n" +
-    "2s3g\n" +
-    "s2h\n" +
-    "2sh.\n" +
-    "sh1er\n" +
-    "5shev\n" +
-    "sh1in\n" +
-    "sh3io\n" +
-    "3ship\n" +
-    "shiv5\n" +
-    "sho4\n" +
-    "sh5old\n" +
-    "shon3\n" +
-    "shor4\n" +
-    "short5\n" +
-    "4shw\n" +
-    "si1b\n" +
-    "s5icc\n" +
-    "3side.\n" +
-    "5sides\n" +
-    "5sidi\n" +
-    "si5diz\n" +
-    "4signa\n" +
-    "sil4e\n" +
-    "4sily\n" +
-    "2s1in\n" +
-    "s2ina\n" +
-    "5sine.\n" +
-    "s3ing\n" +
-    "1sio\n" +
-    "5sion\n" +
-    "sion5a\n" +
-    "si2r\n" +
-    "sir5a\n" +
-    "1sis\n" +
-    "3sitio\n" +
-    "5siu\n" +
-    "1siv\n" +
-    "5siz\n" +
-    "sk2\n" +
-    "4ske\n" +
-    "s3ket\n" +
-    "sk5ine\n" +
-    "sk5ing\n" +
-    "s1l2\n" +
-    "s3lat\n" +
-    "s2le\n" +
-    "slith5\n" +
-    "2s1m\n" +
-    "s3ma\n" +
-    "small3\n" +
-    "sman3\n" +
-    "smel4\n" +
-    "s5men\n" +
-    "5smith\n" +
-    "smol5d4\n" +
-    "s1n4\n" +
-    "1so\n" +
-    "so4ce\n" +
-    "soft3\n" +
-    "so4lab\n" +
-    "sol3d2\n" +
-    "so3lic\n" +
-    "5solv\n" +
-    "3som\n" +
-    "3s4on.\n" +
-    "sona4\n" +
-    "son4g\n" +
-    "s4op\n" +
-    "5sophic\n" +
-    "s5ophiz\n" +
-    "s5ophy\n" +
-    "sor5c\n" +
-    "sor5d\n" +
-    "4sov\n" +
-    "so5vi\n" +
-    "2spa\n" +
-    "5spai\n" +
-    "spa4n\n" +
-    "spen4d\n" +
-    "2s5peo\n" +
-    "2sper\n" +
-    "s2phe\n" +
-    "3spher\n" +
-    "spho5\n" +
-    "spil4\n" +
-    "sp5ing\n" +
-    "4spio\n" +
-    "s4ply\n" +
-    "s4pon\n" +
-    "spor4\n" +
-    "4spot\n" +
-    "squal4l\n" +
-    "s1r\n" +
-    "2ss\n" +
-    "s1sa\n" +
-    "ssas3\n" +
-    "s2s5c\n" +
-    "s3sel\n" +
-    "s5seng\n" +
-    "s4ses.\n" +
-    "s5set\n" +
-    "s1si\n" +
-    "s4sie\n" +
-    "ssi4er\n" +
-    "ss5ily\n" +
-    "s4sl\n" +
-    "ss4li\n" +
-    "s4sn\n" +
-    "sspend4\n" +
-    "ss2t\n" +
-    "ssur5a\n" +
-    "ss5w\n" +
-    "2st.\n" +
-    "s2tag\n" +
-    "s2tal\n" +
-    "stam4i\n" +
-    "5stand\n" +
-    "s4ta4p\n" +
-    "5stat.\n" +
-    "s4ted\n" +
-    "stern5i\n" +
-    "s5tero\n" +
-    "ste2w\n" +
-    "stew5a\n" +
-    "s3the\n" +
-    "st2i\n" +
-    "s4ti.\n" +
-    "s5tia\n" +
-    "s1tic\n" +
-    "5stick\n" +
-    "s4tie\n" +
-    "s3tif\n" +
-    "st3ing\n" +
-    "5stir\n" +
-    "s1tle\n" +
-    "5stock\n" +
-    "stom3a\n" +
-    "5stone\n" +
-    "s4top\n" +
-    "3store\n" +
-    "st4r\n" +
-    "s4trad\n" +
-    "5stratu\n" +
-    "s4tray\n" +
-    "s4trid\n" +
-    "4stry\n" +
-    "4st3w\n" +
-    "s2ty\n" +
-    "1su\n" +
-    "su1al\n" +
-    "su4b3\n" +
-    "su2g3\n" +
-    "su5is\n" +
-    "suit3\n" +
-    "s4ul\n" +
-    "su2m\n" +
-    "sum3i\n" +
-    "su2n\n" +
-    "su2r\n" +
-    "4sv\n" +
-    "sw2\n" +
-    "4swo\n" +
-    "s4y\n" +
-    "4syc\n" +
-    "3syl\n" +
-    "syn5o\n" +
-    "sy5rin\n" +
-    "1ta\n" +
-    "3ta.\n" +
-    "2tab\n" +
-    "ta5bles\n" +
-    "5taboliz\n" +
-    "4taci\n" +
-    "ta5do\n" +
-    "4taf4\n" +
-    "tai5lo\n" +
-    "ta2l\n" +
-    "ta5la\n" +
-    "tal5en\n" +
-    "tal3i\n" +
-    "4talk\n" +
-    "tal4lis\n" +
-    "ta5log\n" +
-    "ta5mo\n" +
-    "tan4de\n" +
-    "tanta3\n" +
-    "ta5per\n" +
-    "ta5pl\n" +
-    "tar4a\n" +
-    "4tarc\n" +
-    "4tare\n" +
-    "ta3riz\n" +
-    "tas4e\n" +
-    "ta5sy\n" +
-    "4tatic\n" +
-    "ta4tur\n" +
-    "taun4\n" +
-    "tav4\n" +
-    "2taw\n" +
-    "tax4is\n" +
-    "2t1b\n" +
-    "4tc\n" +
-    "t4ch\n" +
-    "tch5et\n" +
-    "4t1d\n" +
-    "4te.\n" +
-    "tead4i\n" +
-    "4teat\n" +
-    "tece4\n" +
-    "5tect\n" +
-    "2t1ed\n" +
-    "te5di\n" +
-    "1tee\n" +
-    "teg4\n" +
-    "te5ger\n" +
-    "te5gi\n" +
-    "3tel.\n" +
-    "teli4\n" +
-    "5tels\n" +
-    "te2ma2\n" +
-    "tem3at\n" +
-    "3tenan\n" +
-    "3tenc\n" +
-    "3tend\n" +
-    "4tenes\n" +
-    "1tent\n" +
-    "ten4tag\n" +
-    "1teo\n" +
-    "te4p\n" +
-    "te5pe\n" +
-    "ter3c\n" +
-    "5ter3d\n" +
-    "1teri\n" +
-    "ter5ies\n" +
-    "ter3is\n" +
-    "teri5za\n" +
-    "5ternit\n" +
-    "ter5v\n" +
-    "4tes.\n" +
-    "4tess\n" +
-    "t3ess.\n" +
-    "teth5e\n" +
-    "3teu\n" +
-    "3tex\n" +
-    "4tey\n" +
-    "2t1f\n" +
-    "4t1g\n" +
-    "2th.\n" +
-    "than4\n" +
-    "th2e\n" +
-    "4thea\n" +
-    "th3eas\n" +
-    "the5at\n" +
-    "the3is\n" +
-    "3thet\n" +
-    "th5ic.\n" +
-    "th5ica\n" +
-    "4thil\n" +
-    "5think\n" +
-    "4thl\n" +
-    "th5ode\n" +
-    "5thodic\n" +
-    "4thoo\n" +
-    "thor5it\n" +
-    "tho5riz\n" +
-    "2ths\n" +
-    "1tia\n" +
-    "ti4ab\n" +
-    "ti4ato\n" +
-    "2ti2b\n" +
-    "4tick\n" +
-    "t4ico\n" +
-    "t4ic1u\n" +
-    "5tidi\n" +
-    "3tien\n" +
-    "tif2\n" +
-    "ti5fy\n" +
-    "2tig\n" +
-    "5tigu\n" +
-    "till5in\n" +
-    "1tim\n" +
-    "4timp\n" +
-    "tim5ul\n" +
-    "2t1in\n" +
-    "t2ina\n" +
-    "3tine.\n" +
-    "3tini\n" +
-    "1tio\n" +
-    "ti5oc\n" +
-    "tion5ee\n" +
-    "5tiq\n" +
-    "ti3sa\n" +
-    "3tise\n" +
-    "tis4m\n" +
-    "ti5so\n" +
-    "tis4p\n" +
-    "5tistica\n" +
-    "ti3tl\n" +
-    "ti4u\n" +
-    "1tiv\n" +
-    "tiv4a\n" +
-    "1tiz\n" +
-    "ti3za\n" +
-    "ti3zen\n" +
-    "2tl\n" +
-    "t5la\n" +
-    "tlan4\n" +
-    "3tle.\n" +
-    "3tled\n" +
-    "3tles.\n" +
-    "t5let.\n" +
-    "t5lo\n" +
-    "4t1m\n" +
-    "tme4\n" +
-    "2t1n2\n" +
-    "1to\n" +
-    "to3b\n" +
-    "to5crat\n" +
-    "4todo\n" +
-    "2tof\n" +
-    "to2gr\n" +
-    "to5ic\n" +
-    "to2ma\n" +
-    "tom4b\n" +
-    "to3my\n" +
-    "ton4ali\n" +
-    "to3nat\n" +
-    "4tono\n" +
-    "4tony\n" +
-    "to2ra\n" +
-    "to3rie\n" +
-    "tor5iz\n" +
-    "tos2\n" +
-    "5tour\n" +
-    "4tout\n" +
-    "to3war\n" +
-    "4t1p\n" +
-    "1tra\n" +
-    "tra3b\n" +
-    "tra5ch\n" +
-    "traci4\n" +
-    "trac4it\n" +
-    "trac4te\n" +
-    "tras4\n" +
-    "tra5ven\n" +
-    "trav5es5\n" +
-    "tre5f\n" +
-    "tre4m\n" +
-    "trem5i\n" +
-    "5tria\n" +
-    "tri5ces\n" +
-    "5tricia\n" +
-    "4trics\n" +
-    "2trim\n" +
-    "tri4v\n" +
-    "tro5mi\n" +
-    "tron5i\n" +
-    "4trony\n" +
-    "tro5phe\n" +
-    "tro3sp\n" +
-    "tro3v\n" +
-    "tru5i\n" +
-    "trus4\n" +
-    "4t1s2\n" +
-    "t4sc\n" +
-    "tsh4\n" +
-    "t4sw\n" +
-    "4t3t2\n" +
-    "t4tes\n" +
-    "t5to\n" +
-    "ttu4\n" +
-    "1tu\n" +
-    "tu1a\n" +
-    "tu3ar\n" +
-    "tu4bi\n" +
-    "tud2\n" +
-    "4tue\n" +
-    "4tuf4\n" +
-    "5tu3i\n" +
-    "3tum\n" +
-    "tu4nis\n" +
-    "2t3up.\n" +
-    "3ture\n" +
-    "5turi\n" +
-    "tur3is\n" +
-    "tur5o\n" +
-    "tu5ry\n" +
-    "3tus\n" +
-    "4tv\n" +
-    "tw4\n" +
-    "4t1wa\n" +
-    "twis4\n" +
-    "4two\n" +
-    "1ty\n" +
-    "4tya\n" +
-    "2tyl\n" +
-    "type3\n" +
-    "ty5ph\n" +
-    "4tz\n" +
-    "tz4e\n" +
-    "4uab\n" +
-    "uac4\n" +
-    "ua5na\n" +
-    "uan4i\n" +
-    "uar5ant\n" +
-    "uar2d\n" +
-    "uar3i\n" +
-    "uar3t\n" +
-    "u1at\n" +
-    "uav4\n" +
-    "ub4e\n" +
-    "u4bel\n" +
-    "u3ber\n" +
-    "u4bero\n" +
-    "u1b4i\n" +
-    "u4b5ing\n" +
-    "u3ble.\n" +
-    "u3ca\n" +
-    "uci4b\n" +
-    "uc4it\n" +
-    "ucle3\n" +
-    "u3cr\n" +
-    "u3cu\n" +
-    "u4cy\n" +
-    "ud5d\n" +
-    "ud3er\n" +
-    "ud5est\n" +
-    "udev4\n" +
-    "u1dic\n" +
-    "ud3ied\n" +
-    "ud3ies\n" +
-    "ud5is\n" +
-    "u5dit\n" +
-    "u4don\n" +
-    "ud4si\n" +
-    "u4du\n" +
-    "u4ene\n" +
-    "uens4\n" +
-    "uen4te\n" +
-    "uer4il\n" +
-    "3ufa\n" +
-    "u3fl\n" +
-    "ugh3en\n" +
-    "ug5in\n" +
-    "2ui2\n" +
-    "uil5iz\n" +
-    "ui4n\n" +
-    "u1ing\n" +
-    "uir4m\n" +
-    "uita4\n" +
-    "uiv3\n" +
-    "uiv4er.\n" +
-    "u5j\n" +
-    "4uk\n" +
-    "u1la\n" +
-    "ula5b\n" +
-    "u5lati\n" +
-    "ulch4\n" +
-    "5ulche\n" +
-    "ul3der\n" +
-    "ul4e\n" +
-    "u1len\n" +
-    "ul4gi\n" +
-    "ul2i\n" +
-    "u5lia\n" +
-    "ul3ing\n" +
-    "ul5ish\n" +
-    "ul4lar\n" +
-    "ul4li4b\n" +
-    "ul4lis\n" +
-    "4ul3m\n" +
-    "u1l4o\n" +
-    "4uls\n" +
-    "uls5es\n" +
-    "ul1ti\n" +
-    "ultra3\n" +
-    "4ultu\n" +
-    "u3lu\n" +
-    "ul5ul\n" +
-    "ul5v\n" +
-    "um5ab\n" +
-    "um4bi\n" +
-    "um4bly\n" +
-    "u1mi\n" +
-    "u4m3ing\n" +
-    "umor5o\n" +
-    "um2p\n" +
-    "unat4\n" +
-    "u2ne\n" +
-    "un4er\n" +
-    "u1ni\n" +
-    "un4im\n" +
-    "u2nin\n" +
-    "un5ish\n" +
-    "uni3v\n" +
-    "un3s4\n" +
-    "un4sw\n" +
-    "unt3ab\n" +
-    "un4ter.\n" +
-    "un4tes\n" +
-    "unu4\n" +
-    "un5y\n" +
-    "un5z\n" +
-    "u4ors\n" +
-    "u5os\n" +
-    "u1ou\n" +
-    "u1pe\n" +
-    "uper5s\n" +
-    "u5pia\n" +
-    "up3ing\n" +
-    "u3pl\n" +
-    "up3p\n" +
-    "upport5\n" +
-    "upt5ib\n" +
-    "uptu4\n" +
-    "u1ra\n" +
-    "4ura.\n" +
-    "u4rag\n" +
-    "u4ras\n" +
-    "ur4be\n" +
-    "urc4\n" +
-    "ur1d\n" +
-    "ure5at\n" +
-    "ur4fer\n" +
-    "ur4fr\n" +
-    "u3rif\n" +
-    "uri4fic\n" +
-    "ur1in\n" +
-    "u3rio\n" +
-    "u1rit\n" +
-    "ur3iz\n" +
-    "ur2l\n" +
-    "url5ing.\n" +
-    "ur4no\n" +
-    "uros4\n" +
-    "ur4pe\n" +
-    "ur4pi\n" +
-    "urs5er\n" +
-    "ur5tes\n" +
-    "ur3the\n" +
-    "urti4\n" +
-    "ur4tie\n" +
-    "u3ru\n" +
-    "2us\n" +
-    "u5sad\n" +
-    "u5san\n" +
-    "us4ap\n" +
-    "usc2\n" +
-    "us3ci\n" +
-    "use5a\n" +
-    "u5sia\n" +
-    "u3sic\n" +
-    "us4lin\n" +
-    "us1p\n" +
-    "us5sl\n" +
-    "us5tere\n" +
-    "us1tr\n" +
-    "u2su\n" +
-    "usur4\n" +
-    "uta4b\n" +
-    "u3tat\n" +
-    "4ute.\n" +
-    "4utel\n" +
-    "4uten\n" +
-    "uten4i\n" +
-    "4u1t2i\n" +
-    "uti5liz\n" +
-    "u3tine\n" +
-    "ut3ing\n" +
-    "ution5a\n" +
-    "u4tis\n" +
-    "5u5tiz\n" +
-    "u4t1l\n" +
-    "ut5of\n" +
-    "uto5g\n" +
-    "uto5matic\n" +
-    "u5ton\n" +
-    "u4tou\n" +
-    "uts4\n" +
-    "u3u\n" +
-    "uu4m\n" +
-    "u1v2\n" +
-    "uxu3\n" +
-    "uz4e\n" +
-    "1va\n" +
-    "5va.\n" +
-    "2v1a4b\n" +
-    "vac5il\n" +
-    "vac3u\n" +
-    "vag4\n" +
-    "va4ge\n" +
-    "va5lie\n" +
-    "val5o\n" +
-    "val1u\n" +
-    "va5mo\n" +
-    "va5niz\n" +
-    "va5pi\n" +
-    "var5ied\n" +
-    "3vat\n" +
-    "4ve.\n" +
-    "4ved\n" +
-    "veg3\n" +
-    "v3el.\n" +
-    "vel3li\n" +
-    "ve4lo\n" +
-    "v4ely\n" +
-    "ven3om\n" +
-    "v5enue\n" +
-    "v4erd\n" +
-    "5vere.\n" +
-    "v4erel\n" +
-    "v3eren\n" +
-    "ver5enc\n" +
-    "v4eres\n" +
-    "ver3ie\n" +
-    "vermi4n\n" +
-    "3verse\n" +
-    "ver3th\n" +
-    "v4e2s\n" +
-    "4ves.\n" +
-    "ves4te\n" +
-    "ve4te\n" +
-    "vet3er\n" +
-    "ve4ty\n" +
-    "vi5ali\n" +
-    "5vian\n" +
-    "5vide.\n" +
-    "5vided\n" +
-    "4v3iden\n" +
-    "5vides\n" +
-    "5vidi\n" +
-    "v3if\n" +
-    "vi5gn\n" +
-    "vik4\n" +
-    "2vil\n" +
-    "5vilit\n" +
-    "v3i3liz\n" +
-    "v1in\n" +
-    "4vi4na\n" +
-    "v2inc\n" +
-    "vin5d\n" +
-    "4ving\n" +
-    "vio3l\n" +
-    "v3io4r\n" +
-    "vi1ou\n" +
-    "vi4p\n" +
-    "vi5ro\n" +
-    "vis3it\n" +
-    "vi3so\n" +
-    "vi3su\n" +
-    "4viti\n" +
-    "vit3r\n" +
-    "4vity\n" +
-    "3viv\n" +
-    "5vo.\n" +
-    "voi4\n" +
-    "3vok\n" +
-    "vo4la\n" +
-    "v5ole\n" +
-    "5volt\n" +
-    "3volv\n" +
-    "vom5i\n" +
-    "vor5ab\n" +
-    "vori4\n" +
-    "vo4ry\n" +
-    "vo4ta\n" +
-    "4votee\n" +
-    "4vv4\n" +
-    "v4y\n" +
-    "w5abl\n" +
-    "2wac\n" +
-    "wa5ger\n" +
-    "wag5o\n" +
-    "wait5\n" +
-    "w5al.\n" +
-    "wam4\n" +
-    "war4t\n" +
-    "was4t\n" +
-    "wa1te\n" +
-    "wa5ver\n" +
-    "w1b\n" +
-    "wea5rie\n" +
-    "weath3\n" +
-    "wed4n\n" +
-    "weet3\n" +
-    "wee5v\n" +
-    "wel4l\n" +
-    "w1er\n" +
-    "west3\n" +
-    "w3ev\n" +
-    "whi4\n" +
-    "wi2\n" +
-    "wil2\n" +
-    "will5in\n" +
-    "win4de\n" +
-    "win4g\n" +
-    "wir4\n" +
-    "3wise\n" +
-    "with3\n" +
-    "wiz5\n" +
-    "w4k\n" +
-    "wl4es\n" +
-    "wl3in\n" +
-    "w4no\n" +
-    "1wo2\n" +
-    "wom1\n" +
-    "wo5ven\n" +
-    "w5p\n" +
-    "wra4\n" +
-    "wri4\n" +
-    "writa4\n" +
-    "w3sh\n" +
-    "ws4l\n" +
-    "ws4pe\n" +
-    "w5s4t\n" +
-    "4wt\n" +
-    "wy4\n" +
-    "x1a\n" +
-    "xac5e\n" +
-    "x4ago\n" +
-    "xam3\n" +
-    "x4ap\n" +
-    "xas5\n" +
-    "x3c2\n" +
-    "x1e\n" +
-    "xe4cuto\n" +
-    "x2ed\n" +
-    "xer4i\n" +
-    "xe5ro\n" +
-    "x1h\n" +
-    "xhi2\n" +
-    "xhil5\n" +
-    "xhu4\n" +
-    "x3i\n" +
-    "xi5a\n" +
-    "xi5c\n" +
-    "xi5di\n" +
-    "x4ime\n" +
-    "xi5miz\n" +
-    "x3o\n" +
-    "x4ob\n" +
-    "x3p\n" +
-    "xpan4d\n" +
-    "xpecto5\n" +
-    "xpe3d\n" +
-    "x1t2\n" +
-    "x3ti\n" +
-    "x1u\n" +
-    "xu3a\n" +
-    "xx4\n" +
-    "y5ac\n" +
-    "3yar4\n" +
-    "y5at\n" +
-    "y1b\n" +
-    "y1c\n" +
-    "y2ce\n" +
-    "yc5er\n" +
-    "y3ch\n" +
-    "ych4e\n" +
-    "ycom4\n" +
-    "ycot4\n" +
-    "y1d\n" +
-    "y5ee\n" +
-    "y1er\n" +
-    "y4erf\n" +
-    "yes4\n" +
-    "ye4t\n" +
-    "y5gi\n" +
-    "4y3h\n" +
-    "y1i\n" +
-    "y3la\n" +
-    "ylla5bl\n" +
-    "y3lo\n" +
-    "y5lu\n" +
-    "ymbol5\n" +
-    "yme4\n" +
-    "ympa3\n" +
-    "yn3chr\n" +
-    "yn5d\n" +
-    "yn5g\n" +
-    "yn5ic\n" +
-    "5ynx\n" +
-    "y1o4\n" +
-    "yo5d\n" +
-    "y4o5g\n" +
-    "yom4\n" +
-    "yo5net\n" +
-    "y4ons\n" +
-    "y4os\n" +
-    "y4ped\n" +
-    "yper5\n" +
-    "yp3i\n" +
-    "y3po\n" +
-    "y4poc\n" +
-    "yp2ta\n" +
-    "y5pu\n" +
-    "yra5m\n" +
-    "yr5ia\n" +
-    "y3ro\n" +
-    "yr4r\n" +
-    "ys4c\n" +
-    "y3s2e\n" +
-    "ys3ica\n" +
-    "ys3io\n" +
-    "3ysis\n" +
-    "y4so\n" +
-    "yss4\n" +
-    "ys1t\n" +
-    "ys3ta\n" +
-    "ysur4\n" +
-    "y3thin\n" +
-    "yt3ic\n" +
-    "y1w\n" +
-    "za1\n" +
-    "z5a2b\n" +
-    "zar2\n" +
-    "4zb\n" +
-    "2ze\n" +
-    "ze4n\n" +
-    "ze4p\n" +
-    "z1er\n" +
-    "ze3ro\n" +
-    "zet4\n" +
-    "2z1i\n" +
-    "z4il\n" +
-    "z4is\n" +
-    "5zl\n" +
-    "4zm\n" +
-    "1zo\n" +
-    "zo4m\n" +
-    "zo5ol\n" +
-    "zte4\n" +
-    "4z1z2\n" +
-    "z4zy\n"
-  ;
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/InfoTemplate.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/InfoTemplate.java
deleted file mode 100644
index 3dc0f01..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/InfoTemplate.java
+++ /dev/null
@@ -1,58 +0,0 @@
-package edu.stanford.nlp.ie.pascal;
-
-/**
- * A partial {@link PascalTemplate}.
- * Holds URL, acronym, and name template fields.
- * 
- * @author Chris Cox
- */
-public class InfoTemplate{
-  String whomepage="null";
-  String wacronym="null";
-  String wname="null";
-  String chomepage="null";
-  String cacronym="null";
-  String cname="null";
-  
-  public InfoTemplate(String whomepage, String wacronym, String wname,
-                      String chomepage, String cacronym, String cname,
-                        CliqueTemplates ct) {
-    
-    if(whomepage!=null)this.whomepage=whomepage;
-    if(wacronym!=null)this.wacronym=PascalTemplate.stemAcronym(wacronym,ct);
-    if(wname!=null)this.wname=wname;
-    if(chomepage!=null)this.chomepage=chomepage;
-    if(cacronym!=null)this.cacronym=PascalTemplate.stemAcronym(cacronym,ct);
-    if(cname!=null)this.cname=cname;
-  }
-  
-  @Override
-  public int hashCode() {
-    int tally=31;
-    int n=7;
-    tally = whomepage.hashCode()+n*wacronym.hashCode()+n*n*wname.hashCode();
-    tally += (chomepage.hashCode() + 
-              n*cacronym.hashCode()+ n*n*cname.hashCode());
-    return tally;
-  }
-  
-  @Override
-  public boolean equals(Object obj){
-    if(obj==null)return false;
-    if(!( obj instanceof InfoTemplate)) return false;
-    InfoTemplate i = (InfoTemplate)obj;
-    
-    return(whomepage.equals(i.whomepage)&&
-           wacronym.equals(i.wacronym) &&
-           wname.equals(i.wname) &&
-           chomepage.equals(i.chomepage)&&
-           cacronym.equals(i.cacronym) &&
-           cname.equals(i.cname));              
-  }
-  
-  @Override
-  public String toString(){
-    return ("W_URL: "+whomepage+" W_ACRO: "+wacronym+" W_NAME: "+wname+ 
-            "\nC_URL: "+chomepage+" C_ACRO: "+cacronym+" C_NAME: "+cname);
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/PascalTemplate.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/PascalTemplate.java
deleted file mode 100644
index 32ab58a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/PascalTemplate.java
+++ /dev/null
@@ -1,283 +0,0 @@
-package edu.stanford.nlp.ie.pascal;
-
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.HashIndex;
-
-import java.util.HashMap;
-import java.util.HashSet;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-/**
- * Maps non-background Pascal fields to strings.
- *
- * @author Chris Cox
- */
-
-
-public class PascalTemplate {
-
-  public static final String fields[] = {
-    //dates
-    "workshoppapersubmissiondate",
-    "workshopnotificationofacceptancedate",
-    "workshopcamerareadycopydate",
-    "workshopdate",
-    //location
-    "workshoplocation",
-    //workshop info
-    "workshopacronym",
-    "workshophomepage",
-    "workshopname",
-    //conference info
-    "conferenceacronym",
-    "conferencehomepage",
-    "conferencename",
-    //background symbol
-    "0"
-  };
-
-  public static final String BACKGROUND_SYMBOL = "0";
-
-  private static final Index fieldIndices;
-
-  static {
-    fieldIndices = new HashIndex();
-    for (int i = 0; i < fields.length; i++) {
-      fieldIndices.add(fields[i]);
-    }
-  }
-
-  private String[] values = null;
-
-
-  public PascalTemplate() {
-    values = new String[fields.length];
-    for (int i = 0; i < values.length; i++) {
-      values[i] = null;
-    }
-  }
-
-  //copy constructor
-  public PascalTemplate(PascalTemplate pt) {
-    this.values = new String[fields.length];
-    for (int i = 0; i < values.length; i++) {
-      if (pt.values[i] == null) {
-        this.values[i] = null;
-      } else {
-        this.values[i] = pt.values[i];
-      }
-    }
-  };
-  
-  /*
-   * Acronym stemming and matching fields
-   */
-  private static Pattern acronymPattern = Pattern.compile("([ \r-/a-zA-Z]+?)(?:[ -'*\t\r\n\f0-9]*)", Pattern.DOTALL);
-
-  /**
-   *
-   */
-  public static boolean acronymMatch(String s1, String s2, HashMap stemmedAcronymIndex) {
-    System.err.println("Testing match:" + s1 + " : " + s2);
-    String stem1 = (String) stemmedAcronymIndex.get(s1);
-    String stem2 = (String) stemmedAcronymIndex.get(s2);
-    System.err.println("Got stems:" + s1 + " : " + s2);
-    if (stem1.equals(stem2)) {
-      return true;
-    } else {
-      return false;
-    }
-  }
-  /**
-   *
-   */
-  public static String stemAcronym(String s, CliqueTemplates ct) {
-    if (ct.stemmedAcronymIndex.containsKey(s)) {
-      return (String) ct.stemmedAcronymIndex.get(s);
-    }
-    Matcher matcher = acronymPattern.matcher(s);
-    if (!matcher.matches() || s.equalsIgnoreCase("www")) {
-      System.err.println("Not a valid acronym: " + s);
-      return "null";
-    }
-
-    String stemmed = matcher.group(1).toLowerCase();
-    if (stemmed.endsWith("-")) {
-      stemmed = stemmed.substring(0, stemmed.length() - 1);
-    }
-
-    ct.stemmedAcronymIndex.put(s, stemmed);
-    System.err.println("Stemmed: " + s + " to: " + stemmed);
-    if (ct.inverseAcronymMap.containsKey(stemmed)) {
-      HashSet set = (HashSet) ct.inverseAcronymMap.get(stemmed);
-      set.add(s);
-    } else {
-      HashSet set = new HashSet();
-      set.add(s);
-      ct.inverseAcronymMap.put(stemmed, set);
-    }
-    return stemmed;
-  }
-
-/**
- * Merges partial (clique) templates into a full one.
- *
- * @param dt date template
- * @param location location
- * @param wi workshop/conference info template
- * @return the {@link PascalTemplate} resulting from this merge.
- */
-
-  public static PascalTemplate mergeCliqueTemplates(DateTemplate dt, String location, InfoTemplate wi) {
-    PascalTemplate pt = new PascalTemplate();
-    pt.setValue("workshopnotificationofacceptancedate", dt.noadate);
-    pt.setValue("workshopcamerareadycopydate", dt.crcdate);
-    pt.setValue("workshopdate", dt.workdate);
-    pt.setValue("workshoppapersubmissiondate", dt.subdate);
-    pt.setValue("workshoplocation", location);
-    pt.setValue("workshopacronym", wi.wacronym);
-    pt.setValue("workshophomepage", wi.whomepage);
-    pt.setValue("workshopname", wi.wname);
-    pt.setValue("conferenceacronym", wi.cacronym);
-    pt.setValue("conferencehomepage", wi.chomepage);
-    pt.setValue("conferencename", wi.cname);
-    return pt;
-  }
-
-/**
- * Sets template values.
- * @param fieldName (i.e. workshopname, workshopdate)
- */
-  public void setValue(String fieldName, String value) {
-    int index = getFieldIndex(fieldName);
-    assert(index != -1);
-    values[index] = value;
-  }
-
-  public void setValue(int index, String value) {
-    if (index != values.length - 1) {
-      values[index] = value;
-    }
-  }
-
-  public String getValue(String fieldName) {
-    int i = getFieldIndex(fieldName);
-    if (i == -1 || i == values.length - 1) {
-      return null;
-    } else {
-      return values[i];
-    }
-  }
-
-  @Override
-  public boolean equals(Object obj) {
-
-    if (obj == null) {
-      return false;
-    }
-    if (!(obj instanceof PascalTemplate)) {
-      return false;
-    }
-
-    PascalTemplate pt = (PascalTemplate) obj;
-    String[] values2 = pt.values;
-
-    if (values.length != values2.length) {
-      return false;
-    }
-
-    for (int i = 0; i < values.length - 1; i++) {
-      if (values[i] == null) {
-        if (values2[i] != null) {
-          return false;
-        }
-      } else {
-        if (values2[i] == null) {
-          return false;
-        }
-        if (!values2[i].equals(values[i])) {
-          return false;
-        }
-      }
-    }
-    return true;
-  }
-
-  @Override
-  public int hashCode() {
-    int tally = 37;
-    int n;
-    for (int i = 0; i < values.length - 1; i++) {
-      if (values[i] == null) {
-        n = 11;
-      } else {
-        n = values[i].hashCode();
-      }
-      tally = 17 * tally + n;
-    }
-    return tally;
-  }
-
-  /**
-   *
-   * @param tag field name (i.e. workshopdate, workshoplocation)
-   * @return the reference of that field in the underlying {@link edu.stanford.nlp.util.Index}
-   */
-  static public int getFieldIndex(String tag) {
-    return (fieldIndices.indexOf(tag));
-  }
-
-  /**
-   * Should be passed a <code>Counter[]</code>, each entry of which
-   * keeps scores for possibilities in that template slot.  The counter
-   * for each template value is incremented by the corresponding score of
-   * this PascalTemplate.
-   *
-   * @param fieldValueCounter an array of counters, each of which holds label possibilities for one field
-   * @param score increment counts by this much.
-   */
-
-  public void writeToFieldValueCounter(ClassicCounter[] fieldValueCounter, double score) {
-    for (int i = 0; i < fields.length; i++) {
-      if ((values[i] != null) && !values[i].equals("NULL")) {
-        fieldValueCounter[i].incrementCount(values[i], score);
-      }
-    }
-  }
-/**
- * Divides this template into partial templates, and updates the counts of these
- * partial templates in the {@link CliqueTemplates} object.
- *
- * @param ct the partial templates counter object
- * @param score increment counts by this much
- */
-  public void unpackToCliqueTemplates(CliqueTemplates ct, double score) {
-
-    ct.dateCliqueCounter.incrementCount(new DateTemplate(values[0], values[1], values[2], values[3]), score);
-    if (values[4] != null) {
-      ct.locationCliqueCounter.incrementCount(values[4], score);
-    }
-
-    ct.workshopInfoCliqueCounter.incrementCount(new InfoTemplate(values[6], values[5], values[7], values[9], values[8], values[10], ct), score);
-  }
-
-  public void print() {
-    System.err.println("PascalTemplate: ");
-    System.err.println(this.toString());
-  }
-
-  @Override
-  public String toString() {
-    String str = new String("\n====================\n");
-    for (int i = 0; i < values.length; i++) {
-      if (values[i] != null) {
-        if (!(values[i].equalsIgnoreCase("NULL"))) {
-          str = str.concat(fields[i] + " : " + values[i] + "\n");
-        }
-      }
-    }
-    return str;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/Prior.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/Prior.java
deleted file mode 100644
index 0a1b96b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/Prior.java
+++ /dev/null
@@ -1,77 +0,0 @@
-package edu.stanford.nlp.ie.pascal;
-
-import java.io.BufferedReader;
-import java.io.FileReader;
-import java.io.IOException;
-import java.util.HashMap;
-import java.util.HashSet;
-import java.util.Map;
-import java.util.Set;
-
-/**
- * @author Jamie Nicolson
- */
-public class Prior {
-  // Map<String, int> maps field names to indexes in the matrix
-  private Map fieldIndices;
-  private String[] indexFields;
-
-  // n-dimensional boolean matrix. There will be 2^n entries in the matrix.
-  private double[] matrix;
-
-  public Prior(BufferedReader reader) throws IOException {
-    String line;
-    line = reader.readLine();
-    if (line == null) {
-      throw new IOException();
-    }
-    indexFields = line.split("\\s+");
-    fieldIndices = new HashMap();
-    for (int i = 0; i < indexFields.length; ++i) {
-      fieldIndices.put(indexFields[i], Integer.valueOf(i));
-    }
-    if (indexFields.length < 1 || indexFields.length > 31) {
-      throw new IOException("Invalid number of fields, should be >=1 and <= 31");
-    }
-    int matrixSize = 1 << indexFields.length;
-    matrix = new double[matrixSize];
-    int matrixIdx = 0;
-    while (matrixIdx < matrix.length && (line = reader.readLine()) != null) {
-      String[] tokens = line.split("\\s+");
-      for (int t = 0; matrixIdx < matrix.length && t < tokens.length; ++t) {
-        matrix[matrixIdx++] = Double.parseDouble(tokens[t]);
-      }
-    }
-  }
-
-  /**
-   * Map<String, boolean>
-   */
-  public double get(Set presentFields) {
-    int index = 0;
-    for (int f = 0; f < indexFields.length; ++f) {
-      String field = indexFields[f];
-      index *= 2;
-      if (presentFields.contains(field)) {
-        ++index;
-      }
-    }
-    return matrix[index];
-  }
-
-  public static void main(String args[]) throws Exception {
-
-    BufferedReader br = new BufferedReader(new FileReader("/tmp/acstats"));
-
-    Prior p = new Prior(br);
-
-    HashSet hs = new HashSet();
-    hs.add("workshopname");
-    //hs.add("workshopacronym");
-
-    double d = p.get(hs);
-    System.out.println("d is " + d);
-
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/RelationalModel.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/RelationalModel.java
deleted file mode 100644
index 5bcfb77..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/RelationalModel.java
+++ /dev/null
@@ -1,18 +0,0 @@
-package edu.stanford.nlp.ie.pascal;
-
-
-/**
- *  An interface for the relational models in phase 2 of the pascal system.
- *
- *  @author Jamie Nicolson
- */
-public interface RelationalModel {
-    /**
-     *
-     * @param temp template to be scored
-     * @return its score
-     */
-    public double computeProb(PascalTemplate temp);
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/TeXHyphenator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/TeXHyphenator.java
deleted file mode 100644
index 1f8b9cb..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ie/pascal/TeXHyphenator.java
+++ /dev/null
@@ -1,192 +0,0 @@
-package edu.stanford.nlp.ie.pascal;
-
-import java.io.*;
-import java.util.*;
-import edu.stanford.nlp.util.StringUtils;
-
-/**
- * Hyphenates words according to the TeX algorithm.
- * @author Jamie Nicolson (nicolson@cs.stanford.edu)
- */
-public class TeXHyphenator {
-
-  private static class Node {
-    HashMap children = new HashMap();
-
-    int [] pattern = null;
-  };
-
-  /**
-   * Loads the default hyphenation rules in DefaultTeXHyphenator.
-   */
-  public void loadDefault() {
-    try {
-      load( new BufferedReader(new StringReader(
-        DefaultTeXHyphenData.hyphenData) ) );
-    } catch(IOException e) {
-      // shouldn't happen
-      throw new RuntimeException(e);
-    }
-  }
-
-  /**
-   * Loads custom hyphenation rules. You probably want to use
-   * loadDefault() instead.
-   *
-   */
-  public void load(BufferedReader input) throws IOException {
-    String line;
-    while( (line=input.readLine()) != null ) {
-      if( StringUtils.matches(line, "\\s*(%.*)?") ) {
-        // comment or blank line
-        System.err.println("Skipping: " + line);
-        continue;
-      }
-      char [] linechars = line.toCharArray();
-      int [] pattern = new int[linechars.length];
-      char [] chars  = new char[linechars.length];
-      int c = 0;
-      for( int i = 0; i < linechars.length; ++i) {
-        if( Character.isDigit(linechars[i]) ) {
-          pattern[c] = Character.digit(linechars[i], 10);
-        } else {
-          chars[c++] = linechars[i];
-        }
-      }
-      char[] shortchars = new char[c];
-      int [] shortpattern = new int[c+1];
-      System.arraycopy(chars, 0, shortchars, 0, c);
-      System.arraycopy(pattern, 0, shortpattern, 0, c+1);
-      insertHyphPattern(shortchars, shortpattern);
-    }
-  }
-
-  private Node head = new Node();
-
-  public static String toString(int[]i) {
-    StringBuffer sb = new StringBuffer();
-    for(int j = 0; j < i.length; ++j) {
-      sb.append(i[j]);
-    }
-    return sb.toString();
-  }
-
-  private void insertHyphPattern(char [] chars, int [] pattern) {
-    // find target node, building as we go
-    Node cur = head;
-    for( int c = 0; c < chars.length; ++c) {
-      Character curchar = new Character(chars[c]);
-      Node next = (Node) cur.children.get(curchar);
-      if( next == null ) {
-        next = new Node();
-        cur.children.put( curchar, next );
-      }
-      cur = next;
-    }
-    assert( cur.pattern == null );
-    cur.pattern = pattern;
-  }
-
-  private List getMatchingPatterns( char[] chars, int startingIdx ) {
-    Node cur = head;
-    LinkedList matchingPatterns = new LinkedList();
-    if( cur.pattern != null ) {
-      matchingPatterns.add(cur.pattern);
-    }
-    for(int c = startingIdx; cur != null && c < chars.length; ++c ) {
-      Character curchar = new Character(chars[c]);
-      Node next = (Node) cur.children.get(curchar);
-      cur = next;
-      if( cur != null && cur.pattern != null ) {
-        matchingPatterns.add(cur.pattern);
-      }
-    }
-    return matchingPatterns;
-  }
-      
-
-  private void labelWordBreakPoints( char [] phrase, int start, int end,
-    boolean[] breakPoints)
-  {
-
-    char [] word = new char[end-start+2];
-    System.arraycopy(phrase, start, word, 1, end-start);
-    word[0] = '.';
-    word[word.length-1] = '.';
-
-    // breakScore[i] is the score for breaking before word[i]
-    int [] breakScore = new int [word.length + 1];
-
-    for( int c = 0; c < word.length; ++c ) {
-      List patterns = getMatchingPatterns(word, c);
-      Iterator iter = patterns.iterator();
-      while(iter.hasNext()) {
-        int [] pattern = (int[]) iter.next();
-        for( int i = 0; i < pattern.length; ++i ) {
-          if( breakScore[c+i] < pattern[i] ) {
-            breakScore[c+i] = pattern[i];
-          }
-        }
-      }
-    }
-
-    breakPoints[start] = true;
-    for( int i = start+1; i < end; i++) {
-      // remember that breakPoints is offset by one because we introduced
-      // the leading "."
-      breakPoints[i-1] |= (breakScore[i-start] % 2 == 1 );
-    }
-  }
-  
-  /**
-   * @param lcphrase Some English text in lowercase.
-   * @return An array of booleans, one per character of the input,
-   *    indicating whether it would be OK to insert a hyphen before that
-   *    character.
-   */
-  public boolean[] findBreakPoints(char [] lcphrase) {
-
-    boolean [] breakPoints = new boolean[lcphrase.length];
-
-    boolean inWord = false;
-    int wordStart = 0;
-    int c = 0;
-    for(; c < lcphrase.length; ++c) {
-      if( !inWord && Character.isLetter(lcphrase[c]) ) {
-        wordStart = c;
-        inWord = true;
-      } else if( inWord && !Character.isLetter(lcphrase[c]) ) {
-        inWord = false;
-        labelWordBreakPoints(lcphrase, wordStart, c, breakPoints);
-      }
-    }
-    if( inWord ) {
-      labelWordBreakPoints(lcphrase, wordStart, c, breakPoints);
-    }
-
-    return breakPoints;
-  }
-
-  public static void main(String[] args) throws Exception {
-
-    TeXHyphenator hyphenator = new TeXHyphenator();
-    hyphenator.loadDefault();
-
-    for( int a = 0; a < args.length; ++a) {
-      char[] chars = args[a].toLowerCase().toCharArray();
-      boolean [] breakPoints = hyphenator.findBreakPoints(chars);
-      System.out.println(args[a]);
-      StringBuffer sb = new StringBuffer();
-      for(int i = 0; i < breakPoints.length; ++i) {
-        if( breakPoints[i] ) {
-          sb.append("^");
-        } else {
-          sb.append("-");
-        }
-      }
-      System.out.println(sb.toString());
-    }
-  }
-    
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/international/morph/MorphoFeatureSpecification.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/international/morph/MorphoFeatureSpecification.java
deleted file mode 100644
index 74ff953..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/international/morph/MorphoFeatureSpecification.java
+++ /dev/null
@@ -1,46 +0,0 @@
-package edu.stanford.nlp.international.morph;
-
-import java.io.Serializable;
-
-import java.util.HashSet;
-import java.util.List;
-import java.util.Set;
-
-/**
- * Morphological feature specification for surface forms in a given language.
- * Currently supported feature names are the values of MorphFeatureType.
- * 
- * @author Spence Green
- *
- */
-public abstract class MorphoFeatureSpecification implements Serializable {
-
-  private static final long serialVersionUID = -5720683653931585664L;
-
-  //Delimiter for associating a surface form with a morphological analysis, e.g.,
-  //
-  //     his~#PRP_3ms
-  //
-  public static final String MORPHO_MARK = "~#";
-  
-  public static enum MorphoFeatureType {TENSE,DEF,ASP,MOOD,NUM,GEN,CASE,PER,POSS,VOICE,OTHER};
-  
-  protected final Set<MorphoFeatureType> activeFeatures;
-  
-  public MorphoFeatureSpecification() {
-    activeFeatures = new HashSet<MorphoFeatureType>();
-  }
-  
-  public void activate(MorphoFeatureType feat) {
-    activeFeatures.add(feat);
-  }
-  
-  public boolean isActive(MorphoFeatureType feat) { return activeFeatures.contains(feat); }
-  
-  public abstract List<String> getValues(MorphoFeatureType feat);
-  
-  public abstract MorphoFeatures strToFeatures(String spec);
-  
-  @Override
-  public String toString() { return activeFeatures.toString(); }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/international/morph/MorphoFeatures.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/international/morph/MorphoFeatures.java
deleted file mode 100644
index e4bd28b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/international/morph/MorphoFeatures.java
+++ /dev/null
@@ -1,126 +0,0 @@
-package edu.stanford.nlp.international.morph;
-
-import java.io.Serializable;
-import java.util.Arrays;
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map;
-
-import edu.stanford.nlp.international.morph.MorphoFeatureSpecification.MorphoFeatureType;
-
-/**
- * Holds a set of morphosyntactic features for a given surface form
- * 
- * @author Spence Green
- *
- */
-public class MorphoFeatures implements Serializable {
-  
-  private static final long serialVersionUID = -3893316324305154940L;
-
-  public static final String KEY_VAL_DELIM = ":";
-  
-  protected final Map<MorphoFeatureType,String> fSpec;
-  protected String altTag;
-  
-  public MorphoFeatures() {
-    fSpec = new HashMap<MorphoFeatureType,String>();
-  }
-  
-  public MorphoFeatures(MorphoFeatures other) {
-    this();
-    for(Map.Entry<MorphoFeatureType, String> entry : other.fSpec.entrySet())
-      this.fSpec.put(entry.getKey(), entry.getValue());
-    this.altTag = other.altTag;
-  }
-  
-  public void addFeature(MorphoFeatureType feat, String val) {
-    fSpec.put(feat, val);
-  }
-  
-  public boolean hasFeature(MorphoFeatureType feat) {
-    return fSpec.containsKey(feat);
-  }
-  
-  public String getValue(MorphoFeatureType feat) {
-    if(fSpec.containsKey(feat))
-      return fSpec.get(feat);
-    throw new IllegalArgumentException("Value requested for non-existent feature: " + feat.toString());
-  }
-  
-  public int numFeatureMatches(MorphoFeatures other) {
-    int nMatches = 0;
-    for(Map.Entry<MorphoFeatureType, String> fPair : fSpec.entrySet()) {
-      if(other.hasFeature(fPair.getKey()) && other.getValue(fPair.getKey()).equals(fPair.getValue()))
-        nMatches++;
-    }
-    
-    return nMatches;
-  }
-  
-  public int numActiveFeatures() { return fSpec.keySet().size(); }
-  
-  /**
-   * Build a POS tag consisting of a base category plus inflectional features.
-   * 
-   * @param baseTag
-   * @return the tag
-   */
-  public String getTag(String baseTag) {
-    return baseTag + toString();
-  }
-  
-  public void setAltTag(String tag) { altTag = tag; }
-  
-  
-  /**
-   * An alternate tag form than the one produced by getTag(). Subclasses
-   * may want to use this form to implement someone else's tagset (e.g., CC, ERTS, etc.)
-   * 
-   * @return the tag
-   */
-  public String getAltTag() {
-    return altTag;
-  }
-  
-  /**
-   * Assumes that the tag string has been formed using a call to getTag(). As such,
-   * it removes the basic category from the feature string.
-   * <p>
-   * Note that this method returns a <b>new</b> MorphoFeatures object. As a result, it
-   * behaves like a static method, but is non-static so that subclasses can override
-   * this method.
-   * 
-   * @param str
-   * @return
-   */
-  public MorphoFeatures fromTagString(String str) {
-    List<String> feats = Arrays.asList(str.split("\\-"));
-    MorphoFeatures mFeats = new MorphoFeatures();
-    for(String fPair : feats) {
-      String[] keyValue = fPair.split(KEY_VAL_DELIM);
-      if(keyValue.length != 2)//Manual state split annotations
-        continue;
-      MorphoFeatureType fName = MorphoFeatureType.valueOf(keyValue[0].trim());
-      mFeats.addFeature(fName, keyValue[1].trim());
-    }
-    
-    return mFeats;
-  }
-  
-  /**
-   * values() returns the values in the order in which they are declared. Thus we will not have
-   * the case where two feature types can yield two strings:
-   *    -feat1:A-feat2:B
-   *    -feat2:B-feat1:A
-   */
-  @Override
-  public String toString() {
-    StringBuilder sb = new StringBuilder();
-    for(MorphoFeatureType feat : MorphoFeatureType.values())
-      if(fSpec.containsKey(feat))
-        sb.append(String.format("-%s%s%s",feat.toString(),KEY_VAL_DELIM,fSpec.get(feat)));
-    
-    return sb.toString();
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/BZip2PipedOutputStream.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/BZip2PipedOutputStream.java
deleted file mode 100644
index bae738e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/BZip2PipedOutputStream.java
+++ /dev/null
@@ -1,64 +0,0 @@
-package edu.stanford.nlp.io;
-
-import edu.stanford.nlp.util.ByteStreamGobbler;
-import edu.stanford.nlp.util.StreamGobbler;
-
-import java.io.*;
-
-/**
-* Opens a outputstream for writing into a bzip2 file by piping into the bzip2 command.
-* Output from bzip2 command is written into the specified file.
-* 
-* @author Angel Chang
-*/
-public class BZip2PipedOutputStream extends OutputStream
-{
-  private String filename;
-  private Process process;
-  private ByteStreamGobbler outGobbler;
-  private StreamGobbler errGobbler;
-  private PrintWriter errWriter;
-
-  public BZip2PipedOutputStream(String filename) throws IOException {
-    this(filename, System.err);
-  }
-
-  public BZip2PipedOutputStream(String filename, OutputStream err) throws IOException {
-    String bzip2 = System.getProperty("bzip2", "bzip2");
-    String cmd = bzip2; // + " > " + filename;
-    //System.err.println("getBZip2PipedOutputStream: Running command: "+cmd);
-    ProcessBuilder pb = new ProcessBuilder();
-    pb.command(cmd);
-    this.process = pb.start();
-    this.filename = filename;
-    OutputStream outStream = new FileOutputStream(filename);
-    errWriter = new PrintWriter(new BufferedWriter(new OutputStreamWriter(err)));
-    outGobbler = new ByteStreamGobbler("Output stream gobbler: " + cmd + " " + filename,
-            process.getInputStream(), outStream);
-    errGobbler = new StreamGobbler(process.getErrorStream(), errWriter);
-    outGobbler.start();
-    errGobbler.start();
-  }
-
-  public void flush() throws IOException
-  {
-    process.getOutputStream().flush();
-  }
-
-  public void write(int b) throws IOException
-  {
-    process.getOutputStream().write(b);
-  }
-
-  public void close() throws IOException
-  {
-    process.getOutputStream().close();
-    try {
-      outGobbler.join();
-      errGobbler.join();
-      outGobbler.getOutputStream().close();
-      process.waitFor();
-    } catch (InterruptedException ex) {}
-    //System.err.println("getBZip2PipedOutputStream: Closed. ");
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/EncodingFileReader.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/EncodingFileReader.java
deleted file mode 100644
index eb8d1d0..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/EncodingFileReader.java
+++ /dev/null
@@ -1,92 +0,0 @@
-package edu.stanford.nlp.io;
-
-import java.io.*;
-
-/**
- * This is a convenience class which works almost exactly like 
- * <code>FileReader</code>
- * but allows for the specification of input encoding.
- *
- * @author	Alex Kleeman
- */
-
-public class EncodingFileReader extends InputStreamReader {
-
-  private static final String DEFAULT_ENCODING = "UTF-8";
-  /**
-   * Creates a new <tt>EncodingFileReader</tt>, given the name of the
-   * file to read from.
-   *
-   * @param fileName the name of the file to read from
-   * @exception java.io.FileNotFoundException  if the named file does not 
-   *                   exist, is a directory rather than a regular file,
-   *                   or for some other reason cannot be opened for
-   *                   reading.
-   * @exception java.io.UnsupportedEncodingException  if the encoding does not exist.
-   *
-   */
-  public EncodingFileReader(String fileName) throws UnsupportedEncodingException, FileNotFoundException {
-    super(new FileInputStream(fileName), DEFAULT_ENCODING);
-  }
-
-  /**
-   * Creates a new <tt>EncodingFileReader</tt>, given the name of the
-   * file to read from and an encoding
-   *
-   * @param fileName the name of the file to read from
-   * @param encoding <tt>String</tt> specifying the encoding to be used
-   * @exception java.io.UnsupportedEncodingException  if the encoding does not exist.
-   * @exception java.io.FileNotFoundException  if the named file does not exist,
-   *                   is a directory rather than a regular file,
-   *                   or for some other reason cannot be opened for
-   *                   reading.
-   *
-   */
-  public EncodingFileReader(String fileName, String encoding) throws UnsupportedEncodingException, FileNotFoundException {
-    super(new FileInputStream(fileName), 
-          encoding == null ? DEFAULT_ENCODING: encoding);
-  }
-
-  /**
-   * Creates a new <tt>EncodingFileReader</tt>, given the <tt>File</tt>
-   * to read from, and using default of utf-8.
-   *
-   * @param file the <tt>File</tt> to read from
-   * @exception  FileNotFoundException  if the file does not exist,
-   *                   is a directory rather than a regular file,
-   *                   or for some other reason cannot be opened for
-   *                   reading.
-   *  @exception java.io.UnsupportedEncodingException  if the encoding does not exist.
-   */
-  public EncodingFileReader(File file) throws  UnsupportedEncodingException, FileNotFoundException {
-    super(new FileInputStream(file), DEFAULT_ENCODING);
-  }
-
-  /**
-   * Creates a new <tt>FileReader</tt>, given the <tt>File</tt>
-   * to read from and encoding.
-   *
-   * @param file the <tt>File</tt> to read from
-   * @param encoding <tt>String</tt> specifying the encoding to be used
-   * @exception  FileNotFoundException  if the file does not exist,
-   *                   is a directory rather than a regular file,
-   *                   or for some other reason cannot be opened for
-   *                   reading.
-   *  @exception java.io.UnsupportedEncodingException  if the encoding does not exist.
-   */
-  public EncodingFileReader(File file,String encoding) throws  UnsupportedEncodingException, FileNotFoundException {
-    super(new FileInputStream(file), 
-          encoding == null ? DEFAULT_ENCODING: encoding);
-  }
-
-  /**
-   * Creates a new <tt>FileReader</tt>, given the
-   * <tt>FileDescriptor</tt> to read from.
-   *
-   * @param fd the FileDescriptor to read from
-   */
-  public EncodingFileReader(FileDescriptor fd) {
-    super(new FileInputStream(fd));
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/EncodingPrintWriter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/EncodingPrintWriter.java
deleted file mode 100644
index a088789..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/EncodingPrintWriter.java
+++ /dev/null
@@ -1,125 +0,0 @@
-package edu.stanford.nlp.io;
-
-import java.io.OutputStreamWriter;
-import java.io.PrintWriter;
-import java.io.UnsupportedEncodingException;
-
-/**
- * A convenience IO class with print and println statements to
- * standard output and standard error allowing encoding in an
- * arbitrary character set.  It also provides methods which use UTF-8
- * always, overriding the system default charset.
- *
- * @author Roger Levy
- * @author Christopher Manning
- */
-
-public class EncodingPrintWriter {
-
-  private static final String DEFAULT_ENCODING = "UTF-8";
-
-  private static PrintWriter cachedErrWriter;
-  private static String cachedErrEncoding = "";
-
-  private static PrintWriter cachedOutWriter;
-  private static String cachedOutEncoding = "";
-
-  // uninstantiable
-  private EncodingPrintWriter() {}
-
-  /**
-   * Print methods wrapped around System.err
-   */
-  public static class err {
-
-    private err() {} // uninstantiable
-
-    private static void setupErrWriter(String encoding) {
-      if (encoding == null) {
-        encoding = DEFAULT_ENCODING;
-      }
-      if (cachedErrWriter == null || ! cachedErrEncoding.equals(encoding)) {
-        try {
-          cachedErrWriter = new PrintWriter(new OutputStreamWriter(System.err, encoding), true);
-          cachedErrEncoding = encoding;
-        } catch (UnsupportedEncodingException e) {
-          System.err.println("Error " + e + "Printing as default encoding.");
-          cachedErrWriter = new PrintWriter(new OutputStreamWriter(System.err), true);
-          cachedErrEncoding = "";
-        }
-      }
-    }
-
-    public static void println(String o, String encoding) {
-      setupErrWriter(encoding);
-      cachedErrWriter.println(o);
-    }
-
-    public static void print(String o, String encoding) {
-      setupErrWriter(encoding);
-      cachedErrWriter.print(o);
-      cachedErrWriter.flush();
-    }
-
-    public static void println(String o) {
-      println(o, null);
-    }
-
-    public static void print(String o) {
-      print(o, null);
-    }
-
-  } // end static class err
-
-
-  /**
-   * Print methods wrapped around System.out
-   */
-  public static class out {
-
-    private out() {} // uninstantiable
-
-    private static void setupOutWriter(String encoding) {
-      if (encoding == null) {
-        encoding = DEFAULT_ENCODING;
-      }
-      if (cachedOutWriter == null || ! cachedOutEncoding.equals(encoding)) {
-        try {
-          cachedOutWriter = new PrintWriter(new OutputStreamWriter(System.out, encoding), true);
-          cachedOutEncoding = encoding;
-        } catch (UnsupportedEncodingException e) {
-          System.err.println("Error " + e + "Printing as default encoding.");
-          cachedOutWriter = new PrintWriter(new OutputStreamWriter(System.out), true);
-          cachedOutEncoding = "";
-        }
-      }
-    }
-
-    public static void println(String o, String encoding) {
-      setupOutWriter(encoding);
-      cachedOutWriter.println(o);
-
-    }
-
-    public static void print(String o, String encoding) {
-      setupOutWriter(encoding);
-      cachedOutWriter.print(o);
-      cachedOutWriter.flush();
-    }
-
-    /** Print the argument plus a NEWLINE in UTF-8, regardless of
-     *  the platform default.
-     *
-     *  @param o String to print
-     */
-    public static void println(String o) {
-      println(o, null);
-    }
-
-    public static void print(String o) {
-      print(o, null);
-    }
-
-  } // end static class out
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/ExtensionFileFilter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/ExtensionFileFilter.java
deleted file mode 100644
index 4196b51..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/ExtensionFileFilter.java
+++ /dev/null
@@ -1,75 +0,0 @@
-package edu.stanford.nlp.io;
-
-import java.io.File;
-
-/**
- * Implements a file filter that uses file extensions to filter files.
- *
- * @author cmanning 2000/01/24
- */
-public class ExtensionFileFilter extends javax.swing.filechooser.FileFilter implements java.io.FileFilter {
-
-  private String extension;    // = null
-  private boolean recursively;
-
-  /**
-   * Sets up Extension file filter by specifying an extension
-   * to accept (currently only 1) and whether to also display
-   * folders for recursive search.
-   * The passed extension may be null, in which case the filter
-   * will pass all files (passing an empty String does not have the same
-   * effect -- this would look for file names ending in a period).
-   *
-   * @param ext     File extension (not including period) or null for any
-   * @param recurse go into folders
-   */
-  public ExtensionFileFilter(String ext, boolean recurse) {
-    if (ext != null) {
-      if (ext.startsWith(".")) {
-        extension = ext;
-      } else {
-        extension = '.' + ext;
-      }
-    }
-    recursively = recurse;
-  }
-
-  /**
-   * Sets up an extension file filter that will recurse into sub directories.
-   * @param ext The extension to accept (with or without a leading period).
-   */
-  public ExtensionFileFilter(String ext) {
-    this(ext, true);
-  }
-
-  /**
-   * Checks whether a file satisfies the selection filter.
-   *
-   * @param file The file
-   * @return true if the file is acceptable
-   */
-  @Override
-  public boolean accept(File file) {
-    if (file.isDirectory()) {
-      return recursively;
-    } else if (extension == null) {
-      return true;
-    } else {
-      return file.getName().endsWith(extension);
-    }
-  }
-
-  /**
-   * Returns a description of what extension is being used (for file choosers).
-   * For example, if the suffix is "xml", the description will be
-   * "XML Files (*.xml)".
-   *
-   * @return description of this file filter
-   */
-  @Override
-  public String getDescription() {
-    String ucExt = extension.substring(1).toUpperCase();
-    return (ucExt + " Files (*" + extension + ')');
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/IOUtils.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/IOUtils.java
deleted file mode 100644
index 9f2f7d2..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/IOUtils.java
+++ /dev/null
@@ -1,1148 +0,0 @@
-package edu.stanford.nlp.io;
-
-import java.io.BufferedInputStream;
-import java.io.BufferedOutputStream;
-import java.io.BufferedReader;
-import java.io.BufferedWriter;
-import java.io.Closeable;
-import java.io.File;
-import java.io.FileInputStream;
-import java.io.FileNotFoundException;
-import java.io.FileOutputStream;
-import java.io.FileReader;
-import java.io.IOException;
-import java.io.InputStream;
-import java.io.InputStreamReader;
-import java.io.ObjectInputStream;
-import java.io.ObjectOutputStream;
-import java.io.OutputStream;
-import java.io.OutputStreamWriter;
-import java.io.PrintWriter;
-import java.io.Reader;
-import java.io.Writer;
-import java.lang.reflect.InvocationTargetException;
-import java.net.InetAddress;
-import java.net.SocketTimeoutException;
-import java.net.URL;
-import java.net.URLConnection;
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.Collections;
-import java.util.HashMap;
-import java.util.HashSet;
-import java.util.Iterator;
-import java.util.LinkedList;
-import java.util.List;
-import java.util.Map;
-import java.util.NoSuchElementException;
-import java.util.Queue;
-import java.util.Set;
-import java.util.regex.Pattern;
-import java.util.zip.GZIPInputStream;
-import java.util.zip.GZIPOutputStream;
-
-import edu.stanford.nlp.util.AbstractIterator;
-import edu.stanford.nlp.util.ErasureUtils;
-import edu.stanford.nlp.util.Generics;
-import edu.stanford.nlp.util.StreamGobbler;
-import edu.stanford.nlp.util.StringUtils;
-
-/**
- * Helper Class for storing serialized objects to disk.
- *
- * @author Kayur Patel, Teg Grenager
- */
-
-public class IOUtils {
-
-  private static final int SLURPBUFFSIZE = 16000;
-
-  public static final String eolChar = System.getProperty("line.separator");
-  private static final String defaultEnc = "utf-8";
-
-  // A class of static methods
-  private IOUtils() {
-  }
-
-  /**
-   * Write object to a file with the specified name.
-   *
-   * @param o
-   *          object to be written to file
-   * @param filename
-   *          name of the temp file
-   * @throws IOException
-   *           If can't write file.
-   * @return File containing the object
-   */
-  public static File writeObjectToFile(Object o, String filename)
-  throws IOException {
-    return writeObjectToFile(o, new File(filename));
-  }
-
-  /**
-   * Write an object to a specified File.
-   *
-   * @param o
-   *          object to be written to file
-   * @param file
-   *          The temp File
-   * @throws IOException
-   *           If File cannot be written
-   * @return File containing the object
-   */
-  public static File writeObjectToFile(Object o, File file) throws IOException {
-    return writeObjectToFile(o, file, false);
-  }
-
-  /**
-   * Write an object to a specified File.
-   *
-   * @param o
-   *          object to be written to file
-   * @param file
-   *          The temp File
-   * @param append If true, append to this file instead of overwriting it
-   * @throws IOException
-   *           If File cannot be written
-   * @return File containing the object
-   */
-  public static File writeObjectToFile(Object o, File file, boolean append) throws IOException {
-    // file.createNewFile(); // cdm may 2005: does nothing needed
-    ObjectOutputStream oos = new ObjectOutputStream(new BufferedOutputStream(
-        new GZIPOutputStream(new FileOutputStream(file, append))));
-    oos.writeObject(o);
-    oos.close();
-    return file;
-  }
-
-  /**
-   * Write object to a file with the specified name.
-   *
-   * @param o
-   *          object to be written to file
-   * @param filename
-   *          name of the temp file
-   *
-   * @return File containing the object, or null if an exception was caught
-   */
-  public static File writeObjectToFileNoExceptions(Object o, String filename) {
-    File file = null;
-    ObjectOutputStream oos = null;
-    try {
-      file = new File(filename);
-      // file.createNewFile(); // cdm may 2005: does nothing needed
-      oos = new ObjectOutputStream(new BufferedOutputStream(
-          new GZIPOutputStream(new FileOutputStream(file))));
-      oos.writeObject(o);
-      oos.close();
-    } catch (Exception e) {
-      e.printStackTrace();
-    } finally {
-      closeIgnoringExceptions(oos);
-    }
-    return file;
-  }
-
-  /**
-   * Write object to temp file which is destroyed when the program exits.
-   *
-   * @param o
-   *          object to be written to file
-   * @param filename
-   *          name of the temp file
-   * @throws IOException
-   *           If file cannot be written
-   * @return File containing the object
-   */
-  public static File writeObjectToTempFile(Object o, String filename)
-  throws IOException {
-    File file = File.createTempFile(filename, ".tmp");
-    file.deleteOnExit();
-    ObjectOutputStream oos = new ObjectOutputStream(new BufferedOutputStream(
-        new GZIPOutputStream(new FileOutputStream(file))));
-    oos.writeObject(o);
-    oos.close();
-    return file;
-  }
-
-  /**
-   * Write object to a temp file and ignore exceptions.
-   *
-   * @param o
-   *          object to be written to file
-   * @param filename
-   *          name of the temp file
-   * @return File containing the object
-   */
-  public static File writeObjectToTempFileNoExceptions(Object o, String filename) {
-    try {
-      return writeObjectToTempFile(o, filename);
-    } catch (Exception e) {
-      System.err.println("Error writing object to file " + filename);
-      e.printStackTrace();
-      return null;
-    }
-  }
-
-
-  /**
-   * Read an object from a stored file.
-   *
-   * @param file
-   *          the file pointing to the object to be retrived
-   * @throws IOException
-   *           If file cannot be read
-   * @throws ClassNotFoundException
-   *           If reading serialized object fails
-   * @return the object read from the file.
-   */
-  public static <T> T readObjectFromFile(File file) throws IOException,
-  ClassNotFoundException {
-    ObjectInputStream ois = new ObjectInputStream(new BufferedInputStream(
-        new GZIPInputStream(new FileInputStream(file))));
-    Object o = ois.readObject();
-    ois.close();
-    return ErasureUtils.<T> uncheckedCast(o);
-  }
-
-  public static <T> T readObjectFromObjectStream(ObjectInputStream ois) throws IOException,
-  ClassNotFoundException {
-    Object o = ois.readObject();
-    return ErasureUtils.<T> uncheckedCast(o);
-  }
-
-  /**
-   * Read an object from a stored file.
-   *
-   * @param filename
-   *          The filename of the object to be retrieved
-   * @throws IOException
-   *           If file cannot be read
-   * @throws ClassNotFoundException
-   *           If reading serialized object fails
-   * @return The object read from the file.
-   */
-  public static <T> T readObjectFromFile(String filename) throws IOException,
-  ClassNotFoundException {
-    return ErasureUtils
-    .<T> uncheckedCast(readObjectFromFile(new File(filename)));
-  }
-
-  /**
-   * Read an object from a stored file without throwing exceptions.
-   *
-   * @param file
-   *          the file pointing to the object to be retrieved
-   * @return the object read from the file, or null if an exception occurred.
-   */
-  public static <T> T readObjectFromFileNoExceptions(File file) {
-    Object o = null;
-    try {
-      ObjectInputStream ois = new ObjectInputStream(new BufferedInputStream(
-          new GZIPInputStream(new FileInputStream(file))));
-      o = ois.readObject();
-      ois.close();
-    } catch (IOException e) {
-      e.printStackTrace();
-    } catch (ClassNotFoundException e) {
-      e.printStackTrace();
-    }
-    return ErasureUtils.<T> uncheckedCast(o);
-  }
-
-  public static int lineCount(File textFile) throws IOException {
-    BufferedReader r = new BufferedReader(new FileReader(textFile));
-    int numLines = 0;
-    while (r.readLine() != null) {
-      numLines++;
-    }
-    return numLines;
-  }
-
-  public static ObjectOutputStream writeStreamFromString(String serializePath)
-  throws IOException {
-    ObjectOutputStream oos;
-    if (serializePath.endsWith(".gz")) {
-      oos = new ObjectOutputStream(new BufferedOutputStream(
-          new GZIPOutputStream(new FileOutputStream(serializePath))));
-    } else {
-      oos = new ObjectOutputStream(new BufferedOutputStream(
-          new FileOutputStream(serializePath)));
-    }
-
-    return oos;
-  }
-
-  public static ObjectInputStream readStreamFromString(String filenameOrUrl)
-  throws IOException {
-    ObjectInputStream in;
-    InputStream is = getInputStreamFromURLOrClasspathOrFileSystem(filenameOrUrl);
-    in = new ObjectInputStream(is);
-    return in;
-  }
-
-  /**
-   * Locates this file either in the CLASSPATH or in the file system. The CLASSPATH takes priority
-   * @param fn
-   * @return
-   * @throws FileNotFoundException
-   *         if the file does not exist
-   */
-  private static InputStream findStreamInClasspathOrFileSystem(String fn) throws FileNotFoundException {
-    // ms 10-04-2010:
-    // - even though this may look like a regular file, it may be a path inside a jar in the CLASSPATH
-    // - check for this first. This takes precedence over the file system.
-    InputStream is = IOUtils.class.getClassLoader().getResourceAsStream(fn);
-    // if not found in the CLASSPATH, load from the file system
-    if (is == null) is = new FileInputStream(fn);
-    return is;
-  }
-
-  /**
-   * Locates this file either using the given URL, or in the CLASSPATH, or in the file system
-   * The CLASSPATH takes priority over the file system!
-   * This stream is buffered and gzipped (if necessary)
-   * @param textFileOrUrl
-   * @return An InputStream for loading a resource
-   * @throws IOException
-   */
-  public static InputStream 
-    getInputStreamFromURLOrClasspathOrFileSystem(String textFileOrUrl)
-    throws IOException 
-  {
-    InputStream in;
-    if (textFileOrUrl.matches("https?://.*")) {
-      URL u = new URL(textFileOrUrl);
-      URLConnection uc = u.openConnection();
-      in = uc.getInputStream();
-    } else {
-      try {
-        in = findStreamInClasspathOrFileSystem(textFileOrUrl);
-      } catch (FileNotFoundException e) {
-        try {
-          // Maybe this happens to be some other format of URL?
-          URL u = new URL(textFileOrUrl);
-          URLConnection uc = u.openConnection();
-          in = uc.getInputStream();        
-        } catch (IOException e2) {
-          // TODO: freaking Java 1.5 didn't have an IOException that
-          // could take a throwable as a cause
-          throw new IOException("Unable to resolve \"" + 
-                                textFileOrUrl + "\" as either " +
-                                "class path, filename or URL");
-        }
-      }
-    }
-
-    // buffer this stream
-    in = new BufferedInputStream(in);
-
-    // gzip it if necessary
-    if(textFileOrUrl.endsWith(".gz"))
-      in = new GZIPInputStream(in);
-
-    return in;
-  }
-
-  public static BufferedReader readReaderFromString(String textFileOrUrl)
-  throws IOException {
-    return new BufferedReader(new InputStreamReader(
-        getInputStreamFromURLOrClasspathOrFileSystem(textFileOrUrl)));
-  }
-
-  /**
-   * Open a BufferedReader to a file or URL specified by a String name. If the
-   * String starts with https?://, then it is interpreted as a URL, otherwise it
-   * is interpreted as a local file. If the String ends in .gz, it is
-   * interpreted as a gzipped file (and uncompressed), else it is interpreted as
-   * a regular text file in the given encoding.
-   *
-   * @param textFileOrUrl
-   *          What to read from
-   * @param encoding
-   *          CharSet encoding
-   * @return The BufferedReader
-   * @throws IOException
-   *           If there is an I/O problem
-   */
-  public static BufferedReader readReaderFromString(String textFileOrUrl,
-      String encoding) throws IOException {
-    InputStream is = getInputStreamFromURLOrClasspathOrFileSystem(textFileOrUrl);
-    return new BufferedReader(new InputStreamReader(is, encoding));
-  }
-
-  /**
-   * Returns an Iterable of the lines in the file.
-   *
-   * The file reader will be closed when the iterator is exhausted. IO errors
-   * will throw an (unchecked) RuntimeIOException
-   *
-   * @param path
-   *          The file whose lines are to be read.
-   * @return An Iterable containing the lines from the file.
-   */
-  public static Iterable<String> readLines(String path) {
-    return readLines(new File(path));
-  }
-
-  /**
-   * Returns an Iterable of the lines in the file.
-   *
-   * The file reader will be closed when the iterator is exhausted.
-   *
-   * @param file
-   *          The file whose lines are to be read.
-   * @return An Iterable containing the lines from the file.
-   */
-  public static Iterable<String> readLines(final File file) {
-    return readLines(file, null);
-  }
-
-  /**
-   * Returns an Iterable of the lines in the file, wrapping the generated
-   * FileInputStream with an instance of the supplied class. IO errors will
-   * throw an (unchecked) RuntimeIOException
-   *
-   * @param file
-   *          The file whose lines are to be read.
-   * @param fileInputStreamWrapper
-   *          The class to wrap the InputStream with, e.g. GZIPInputStream. Note
-   *          that the class must have a constructor that accepts an
-   *          InputStream.
-   * @return An Iterable containing the lines from the file.
-   */
-  public static Iterable<String> readLines(final File file,
-      final Class<? extends InputStream> fileInputStreamWrapper) {
-
-    return new Iterable<String>() {
-      public Iterator<String> iterator() {
-        return new Iterator<String>() {
-
-          protected BufferedReader reader = this.getReader();
-          protected String line = this.getLine();
-
-          public boolean hasNext() {
-            return this.line != null;
-          }
-
-          public String next() {
-            String nextLine = this.line;
-            if (nextLine == null) {
-              throw new NoSuchElementException();
-            }
-            line = getLine();
-            return nextLine;
-          }
-
-          protected String getLine() {
-            try {
-              String result = this.reader.readLine();
-              if (result == null) {
-                this.reader.close();
-              }
-              return result;
-            } catch (IOException e) {
-              throw new RuntimeIOException(e);
-            }
-          }
-
-          protected BufferedReader getReader() {
-            try {
-              InputStream stream = new FileInputStream(file);
-              if (fileInputStreamWrapper != null) {
-                stream = fileInputStreamWrapper.getConstructor(
-                    InputStream.class).newInstance(stream);
-              }
-              return new BufferedReader(new InputStreamReader(stream));
-            } catch (Exception e) {
-              throw new RuntimeIOException(e);
-            }
-          }
-
-          public void remove() {
-            throw new UnsupportedOperationException();
-          }
-        };
-      }
-    };
-  }
-
-  /**
-   * Quietly opens a File. If the file ends with a ".gz" extension,
-   * automatically opens a GZIPInputStream to wrap the constructed
-   * FileInputStream.
-   */
-  public static InputStream openFile(File file) throws RuntimeIOException {
-    try {
-      InputStream is = new BufferedInputStream(new FileInputStream(file));
-      if (file.getName().endsWith(".gz")) {
-        is = new GZIPInputStream(is);
-      }
-      return is;
-    } catch (Exception e) {
-      throw new RuntimeIOException(e);
-    }
-  }
-
-  /**
-   * Provides an implementation of closing a file for use in a finally block so
-   * you can correctly close a file without even more exception handling stuff.
-   * From a suggestion in a talk by Josh Bloch.
-   *
-   * @param c
-   *          The IO resource to close (e.g., a Stream/Reader)
-   */
-  public static void closeIgnoringExceptions(Closeable c) {
-    if (c != null) {
-      try {
-        c.close();
-      } catch (IOException ioe) {
-        // ignore
-      }
-    }
-  }
-
-  /**
-   * Iterate over all the files in the directory, recursively.
-   *
-   * @param dir
-   *          The root directory.
-   * @return All files within the directory.
-   */
-  public static Iterable<File> iterFilesRecursive(final File dir) {
-    return iterFilesRecursive(dir, (Pattern) null);
-  }
-
-  /**
-   * Iterate over all the files in the directory, recursively.
-   *
-   * @param dir
-   *          The root directory.
-   * @param ext
-   *          A string that must be at the end of all files (e.g. ".txt")
-   * @return All files within the directory ending in the given extension.
-   */
-  public static Iterable<File> iterFilesRecursive(final File dir,
-      final String ext) {
-    return iterFilesRecursive(dir, Pattern.compile(Pattern.quote(ext) + "$"));
-  }
-
-  /**
-   * Iterate over all the files in the directory, recursively.
-   *
-   * @param dir
-   *          The root directory.
-   * @param pattern
-   *          A regular expression that the file path must match. This uses
-   *          Matcher.find(), so use ^ and $ to specify endpoints.
-   * @return All files within the directory.
-   */
-  public static Iterable<File> iterFilesRecursive(final File dir,
-      final Pattern pattern) {
-    return new Iterable<File>() {
-      public Iterator<File> iterator() {
-        return new AbstractIterator<File>() {
-          private final Queue<File> files = new LinkedList<File>(Collections
-              .singleton(dir));
-          private File file = this.findNext();
-
-          @Override
-          public boolean hasNext() {
-            return this.file != null;
-          }
-
-          @Override
-          public File next() {
-            File result = this.file;
-            if (result == null) {
-              throw new NoSuchElementException();
-            }
-            this.file = this.findNext();
-            return result;
-          }
-
-          private File findNext() {
-            File next = null;
-            while (!this.files.isEmpty() && next == null) {
-              next = this.files.remove();
-              if (next.isDirectory()) {
-                files.addAll(Arrays.asList(next.listFiles()));
-                next = null;
-              } else if (pattern != null) {
-                if (!pattern.matcher(next.getPath()).find()) {
-                  next = null;
-                }
-              }
-            }
-            return next;
-          }
-        };
-      }
-    };
-  }
-
-  /**
-   * Returns all the text in the given File.
-   */
-  public static String slurpFile(File file) throws IOException {
-    Reader r = new FileReader(file);
-    return IOUtils.slurpReader(r);
-  }
-
-  /**
-   * Returns all the text in the given File.
-   *
-   * @param file The file to read from
-   * @param encoding The character encoding to assume.  This may be null, and
-   *       the platform default character encoding is used.
-   */
-  public static String slurpFile(File file, String encoding) throws IOException {
-    Reader r;
-    // InputStreamReader doesn't allow encoding to be null;
-    if (encoding == null) {
-      r = new InputStreamReader(new FileInputStream(file));
-    } else {
-      r = new InputStreamReader(new FileInputStream(file), encoding);
-    }
-    return IOUtils.slurpReader(r);
-  }
-
-  /**
-   * Returns all the text in the given File.
-   */
-  public static String slurpGZippedFile(String filename) throws IOException {
-    Reader r = new InputStreamReader(new GZIPInputStream(new FileInputStream(
-        filename)));
-    return IOUtils.slurpReader(r);
-  }
-
-  /**
-   * Returns all the text in the given File.
-   */
-  public static String slurpGZippedFile(File file) throws IOException {
-    Reader r = new InputStreamReader(new GZIPInputStream(new FileInputStream(
-        file)));
-    return IOUtils.slurpReader(r);
-  }
-
-  public static String slurpGBFileNoExceptions(String filename) {
-    return IOUtils.slurpFileNoExceptions(filename, "GB18030");
-  }
-
-  /**
-   * Returns all the text in the given file with the given encoding.
-   */
-  public static String slurpFile(String filename, String encoding)
-  throws IOException {
-    Reader r = new InputStreamReader(new FileInputStream(filename), encoding);
-    return IOUtils.slurpReader(r);
-  }
-
-  /**
-   * Returns all the text in the given file with the given encoding. If the file
-   * cannot be read (non-existent, etc.), then and only then the method returns
-   * <code>null</code>.
-   */
-  public static String slurpFileNoExceptions(String filename, String encoding) {
-    try {
-      return slurpFile(filename, encoding);
-    } catch (Exception e) {
-      throw new RuntimeIOException("slurpFile IO problem", e);
-    }
-  }
-
-  public static String slurpGBFile(String filename) throws IOException {
-    return slurpFile(filename, "GB18030");
-  }
-
-  /**
-   * Returns all the text in the given file
-   *
-   * @return The text in the file.
-   */
-  public static String slurpFile(String filename) throws IOException {
-    return IOUtils.slurpReader(new FileReader(filename));
-  }
-
-  /**
-   * Returns all the text at the given URL.
-   */
-  public static String slurpGBURL(URL u) throws IOException {
-    return IOUtils.slurpURL(u, "GB18030");
-  }
-
-  /**
-   * Returns all the text at the given URL.
-   */
-  public static String slurpGBURLNoExceptions(URL u) {
-    try {
-      return slurpGBURL(u);
-    } catch (Exception e) {
-      e.printStackTrace();
-      return null;
-    }
-  }
-
-  /**
-   * Returns all the text at the given URL.
-   */
-  public static String slurpURLNoExceptions(URL u, String encoding) {
-    try {
-      return IOUtils.slurpURL(u, encoding);
-    } catch (Exception e) {
-      e.printStackTrace();
-      return null;
-    }
-  }
-
-  /**
-   * Returns all the text at the given URL.
-   */
-  public static String slurpURL(URL u, String encoding) throws IOException {
-    String lineSeparator = System.getProperty("line.separator");
-    URLConnection uc = u.openConnection();
-    uc.setReadTimeout(30000);
-    InputStream is;
-    try {
-      is = uc.getInputStream();
-    } catch (SocketTimeoutException e) {
-      // e.printStackTrace();
-      System.err.println("Time out. Return empty string");
-      return "";
-    }
-    BufferedReader br = new BufferedReader(new InputStreamReader(is, encoding));
-    String temp;
-    StringBuilder buff = new StringBuilder(16000); // make biggish
-    while ((temp = br.readLine()) != null) {
-      buff.append(temp);
-      buff.append(lineSeparator);
-    }
-    br.close();
-    return buff.toString();
-  }
-
-  /**
-   * Returns all the text at the given URL.
-   */
-  public static String slurpURL(URL u) throws IOException {
-    String lineSeparator = System.getProperty("line.separator");
-    URLConnection uc = u.openConnection();
-    InputStream is = uc.getInputStream();
-    BufferedReader br = new BufferedReader(new InputStreamReader(is));
-    String temp;
-    StringBuilder buff = new StringBuilder(16000); // make biggish
-    while ((temp = br.readLine()) != null) {
-      buff.append(temp);
-      buff.append(lineSeparator);
-    }
-    br.close();
-    return buff.toString();
-  }
-
-  /**
-   * Returns all the text at the given URL.
-   */
-  public static String slurpURLNoExceptions(URL u) {
-    try {
-      return slurpURL(u);
-    } catch (Exception e) {
-      e.printStackTrace();
-      return null;
-    }
-  }
-
-  /**
-   * Returns all the text at the given URL.
-   */
-  public static String slurpURL(String path) throws Exception {
-    return slurpURL(new URL(path));
-  }
-
-  /**
-   * Returns all the text at the given URL. If the file cannot be read
-   * (non-existent, etc.), then and only then the method returns
-   * <code>null</code>.
-   */
-  public static String slurpURLNoExceptions(String path) {
-    try {
-      return slurpURL(path);
-    } catch (Exception e) {
-      e.printStackTrace();
-      return null;
-    }
-  }
-
-  /**
-   * Returns all the text in the given File.
-   *
-   * @return The text in the file. May be an empty string if the file is empty.
-   *         If the file cannot be read (non-existent, etc.), then and only then
-   *         the method returns <code>null</code>.
-   */
-  public static String slurpFileNoExceptions(File file) {
-    try {
-      return IOUtils.slurpReader(new FileReader(file));
-    } catch (Exception e) {
-      e.printStackTrace();
-      return null;
-    }
-  }
-
-  /**
-   * Returns all the text in the given File.
-   *
-   * @return The text in the file. May be an empty string if the file is empty.
-   *         If the file cannot be read (non-existent, etc.), then and only then
-   *         the method returns <code>null</code>.
-   */
-  public static String slurpFileNoExceptions(String filename) {
-    try {
-      return slurpFile(filename);
-    } catch (Exception e) {
-      e.printStackTrace();
-      return null;
-    }
-  }
-
-  /**
-   * Returns all the text from the given Reader.
-   *
-   * @return The text in the file.
-   */
-  public static String slurpReader(Reader reader) {
-    BufferedReader r = new BufferedReader(reader);
-    StringBuilder buff = new StringBuilder();
-    try {
-      char[] chars = new char[SLURPBUFFSIZE];
-      while (true) {
-        int amountRead = r.read(chars, 0, SLURPBUFFSIZE);
-        if (amountRead < 0) {
-          break;
-        }
-        buff.append(chars, 0, amountRead);
-      }
-      r.close();
-    } catch (Exception e) {
-      throw new RuntimeIOException("slurpReader IO problem", e);
-    }
-    return buff.toString();
-  }
-
-  /**
-   * Send all bytes from the input stream to the output stream.
-   *
-   * @param input
-   *          The input bytes.
-   * @param output
-   *          Where the bytes should be written.
-   */
-  public static void writeStreamToStream(InputStream input, OutputStream output)
-  throws IOException {
-    byte[] buffer = new byte[4096];
-    while (true) {
-      int len = input.read(buffer);
-      if (len == -1) {
-        break;
-      }
-      output.write(buffer, 0, len);
-    }
-  }
-
-  /**
-   * Read in a CSV formatted file with a header row
-   * @param path - path to CSV file
-   * @param quoteChar - character for enclosing strings, defaults to "
-   * @param escapeChar - character for escaping quotes appearing in quoted strings; defaults to " (i.e. "" is used for " inside quotes, consistent with Excel)
-   * @return a list of maps representing the rows of the csv. The maps' keys are the header strings and their values are the row contents
-   * @throws IOException
-   */
-  public static List<Map<String,String>> readCSVWithHeader(String path, char quoteChar, char escapeChar) throws IOException {
-    String[] labels = null;
-    List<Map<String,String>> rows = Generics.newArrayList();
-    for (String line : IOUtils.readLines(path)) {
-      System.out.println("Splitting "+line);
-      if (labels == null) {
-        labels = StringUtils.splitOnCharWithQuoting(line,',','"',escapeChar);
-      } else {
-        String[] cells = StringUtils.splitOnCharWithQuoting(line,',',quoteChar,escapeChar);
-        assert(cells.length == labels.length);
-        Map<String,String> cellMap = new HashMap<String,String>();
-        for (int i=0; i<labels.length; i++) cellMap.put(labels[i],cells[i]);
-        rows.add(cellMap);
-      }
-    }
-    return rows;
-  }
-  public static List<Map<String,String>> readCSVWithHeader(String path) throws IOException {
-    return readCSVWithHeader(path,'"','"');
-  }
-
-  /**
-   * Get a input file stream (automatically gunzip/bunzip2 depending on file extension)
-   * @param filename Name of file to open
-   * @return Input stream that can be used to read from the file
-   * @throws IOException if there are exceptions opening the file
-   */
-  public static InputStream getFileInputStream(String filename) throws IOException {
-    InputStream in = new FileInputStream(filename);
-    if (filename.endsWith(".gz")) {
-      in = new GZIPInputStream(in);
-    } else if (filename.endsWith(".bz2")) {
-      //in = new CBZip2InputStream(in);
-      in = getBZip2PipedInputStream(filename);
-    }
-    return in;
-  }
-
-  /**
-   * Get a output file stream (automatically gzip/bzip2 depending on file extension)
-   * @param filename Name of file to open
-   * @return Output stream that can be used to write to the file
-   * @throws IOException if there are exceptions opening the file
-   */
-  public static OutputStream getFileOutputStream(String filename) throws IOException {
-    OutputStream out = new FileOutputStream(filename);
-    if (filename.endsWith(".gz")) {
-      out = new GZIPOutputStream(out);
-    } else if (filename.endsWith(".bz2")) {
-      //out = new CBZip2OutputStream(out);
-      out = getBZip2PipedOutputStream(filename);
-    }
-    return out;
-  }
-
-  public static BufferedReader getBufferedFileReader(String filename) throws IOException {
-    return getBufferedFileReader(filename, defaultEnc);
-  }
-
-  public static BufferedReader getBufferedFileReader(String filename, String encoding) throws IOException {
-    InputStream in = getFileInputStream(filename);
-    return new BufferedReader(new InputStreamReader(in, encoding));
-  }
-
-  public static PrintWriter getPrintWriter(File textFile) throws IOException {
-    File f = textFile.getAbsoluteFile();
-    return new PrintWriter(new BufferedWriter(new OutputStreamWriter(new FileOutputStream(f))));
-  }
-
-  public static PrintWriter getPrintWriter(String filename) throws IOException {
-    return getPrintWriter(filename, defaultEnc);
-  }
-
-  public static PrintWriter getPrintWriter(String filename, String encoding) throws IOException {
-    OutputStream out = getFileOutputStream(filename);
-    return new PrintWriter(new BufferedWriter(new OutputStreamWriter(out, encoding)));
-  }
-
-  public static InputStream getBZip2PipedInputStream(String filename) throws IOException
-  {
-    String bzcat = System.getProperty("bzcat", "bzcat");
-    Runtime rt = Runtime.getRuntime();
-    String cmd = bzcat + " " + filename;
-    //System.err.println("getBZip2PipedInputStream: Running command: "+cmd);
-    Process p = rt.exec(cmd);
-    Writer errWriter = new BufferedWriter(new OutputStreamWriter(System.err));
-    StreamGobbler errGobler = new StreamGobbler(p.getErrorStream(), errWriter);
-    errGobler.start();
-    return p.getInputStream();
-  }
-
-  public static OutputStream getBZip2PipedOutputStream(String filename) throws IOException
-  {
-    return new BZip2PipedOutputStream(filename);
-  }
-
-  private static final Pattern tab = Pattern.compile("\t");
-  /**
-   * Read column as set
-   * @param infile - filename
-   * @param field  index of field to read
-   * @return a set of the entries in column field
-   * @throws IOException
-   */
-  public static Set<String> readColumnSet(String infile, int field) throws IOException
-  {
-    BufferedReader br = IOUtils.getBufferedFileReader(infile);
-    String line;
-    Set<String> set = new HashSet<String>();
-    while ((line = br.readLine()) != null) {
-      line = line.trim();
-      if (line.length() > 0) {
-        if (field < 0) {
-          set.add(line);
-        } else {
-          String[] fields = tab.split(line);
-          if (field < fields.length) {
-            set.add(fields[field]);
-          }
-        }
-      }
-    }
-    br.close();
-    return set;
-  }
-
-  public static <C> List<C> readObjectFromColumns(Class objClass, String filename, String[] fieldNames, String delimiter)
-  throws IOException, InstantiationException, IllegalAccessException,
-  NoSuchFieldException, NoSuchMethodException, InvocationTargetException
-  {
-    Pattern delimiterPattern = Pattern.compile(delimiter);
-    List<C> list = new ArrayList<C>();
-    BufferedReader br = IOUtils.getBufferedFileReader(filename);
-    String line;
-    while ((line = br.readLine()) != null) {
-      line = line.trim();
-      if (line.length() > 0) {
-        C item = StringUtils.<C>columnStringToObject(objClass, line, delimiterPattern, fieldNames);
-        list.add(item);
-      }
-    }
-    br.close();
-    return list;
-  }
-
-  public static Map<String,String> readMap(String filename) throws IOException
-  {
-    Map<String,String> map = new HashMap<String,String>();
-    try {
-      BufferedReader br = IOUtils.getBufferedFileReader(filename);
-      String line;
-      while ((line = br.readLine()) != null) {
-        String[] fields = tab.split(line,2);
-        map.put(fields[0], fields[1]);
-      }
-    } catch (IOException ex) {
-      throw new RuntimeException(ex);
-    }
-    return map;
-  }
-
-
-  /**
-   * Returns the contents of a file as a single string.  The string may be
-   * empty, if the file is empty.  If there is an IOException, it is caught
-   * and null is returned.
-   */
-  public static String stringFromFile(String filename) {
-    return stringFromFile(filename,defaultEnc);
-  }
-
-  /**
-   * Returns the contents of a file as a single string.  The string may be
-   * empty, if the file is empty.  If there is an IOException, it is caught
-   * and null is returned.  Encoding can also be specified.
-   */
-  public static String stringFromFile(String filename, String encoding) {
-    try {
-      StringBuilder sb = new StringBuilder();
-      BufferedReader in = new BufferedReader(new EncodingFileReader(filename,encoding));
-      String line;
-      while ((line = in.readLine()) != null) {
-        sb.append(line);
-        sb.append(eolChar);
-      }
-      in.close();
-      return sb.toString();
-    }
-    catch (IOException e) {
-      e.printStackTrace();
-      return null;
-    }
-  }
-
-
-  /**
-   * Returns the contents of a file as a list of strings.  The list may be
-   * empty, if the file is empty.  If there is an IOException, it is caught
-   * and null is returned.
-   */
-  public static List<String> linesFromFile(String filename) {
-    return linesFromFile(filename,defaultEnc);
-  }
-
-  /**
-   * Returns the contents of a file as a list of strings.  The list may be
-   * empty, if the file is empty.  If there is an IOException, it is caught
-   * and null is returned. Encoding can also be specified
-   */
-  public static List<String> linesFromFile(String filename,String encoding) {
-    try {
-      List<String> lines = new ArrayList<String>();
-      BufferedReader in = new BufferedReader(new EncodingFileReader(filename,encoding));
-      String line;
-      while ((line = in.readLine()) != null) {
-        lines.add(line);
-      }
-      in.close();
-      return lines;
-    }
-    catch (IOException e) {
-      e.printStackTrace();
-      return null;
-    }
-  }
-
-  public static String backupName(String filename) {
-    return backupFile(new File(filename)).toString();
-  }
-
-  public static File backupFile(File file) {
-    int max = 1000;
-    String filename = file.toString();
-    File backup = new File(filename + "~");
-    if (!backup.exists()) { return backup; }
-    for (int i = 1; i <= max; i++) {
-      backup = new File(filename + ".~" + i + ".~");
-      if (!backup.exists()) { return backup; }
-    }
-    return null;
-  }
-
-  public static boolean renameToBackupName(File file) {
-    return file.renameTo(backupFile(file));
-  }
-
-
-  /**
-   * A JavaNLP specific convenience routine for obtaining the current
-   * scratch directory for the machine you're currently running on.
-   */
-  public static File getJNLPLocalScratch()  {
-    try {
-      String machineName = InetAddress.getLocalHost().getHostName().split("\\.")[0];
-      String username = System.getProperty("user.name");
-      return new File("/"+machineName+"/scr1/"+username);
-    } catch (Exception e) {
-      return new File("./scr/"); // default scratch
-    }
-  }
-
-  /**
-   * Given a filepath, makes sure a directory exists there.  If not, creates and returns it.
-   * Same as ENSURE-DIRECTORY in CL.
-   * @throws Exception
-   */
-  public static File ensureDir(File tgtDir) throws Exception {
-    if (tgtDir.exists()) {
-      if (tgtDir.isDirectory()) return tgtDir;
-      else
-        throw new Exception("Could not create directory "+tgtDir.getAbsolutePath()+", as a file already exists at that path.");
-    } else {
-      tgtDir.mkdirs();
-      return tgtDir;
-    }
-  }
-
-  public static void main(String[] args) {
-    System.out.println(backupName(args[0]));
-  }
-
-  public static String getExtension(String fileName) {
-    if(!fileName.contains("."))
-      return null;
-    int idx = fileName.lastIndexOf(".");
-    return fileName.substring(idx+1);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/NumberRangesFileFilter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/NumberRangesFileFilter.java
deleted file mode 100644
index e84414c..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/NumberRangesFileFilter.java
+++ /dev/null
@@ -1,169 +0,0 @@
-package edu.stanford.nlp.io;
-
-import edu.stanford.nlp.util.Pair;
-
-import java.io.File;
-import java.io.FileFilter;
-import java.util.ArrayList;
-import java.util.Iterator;
-import java.util.List;
-
-/**
- * Implements a file filter that examines a number in a filename to
- * determine acceptance.  This is useful for wanting to process ranges
- * of numbered files in collections where each file has some name, part
- * of which is alphabetic and constant, and part of which is numeric.
- * The test is evaluated based on the rightmost natural number found in
- * the filename string.  (It only looks in the final filename, not in other
- * components of the path.)  Number ranges are inclusive.
- * <p/>
- * This filter can select multiple discontinuous ranges based on a format
- * similar to page selection ranges in various formatting software, such as
- * "34,52-65,67,93-95".  The constructor takes a String of this sort and
- * deconstructs it into a list of ranges.  The accepted syntax is:<p>
- * ranges = range <br>
- * ranges = range "," ranges <br>
- * range = integer <br>
- * range = integer "-" integer <p>
- * Whitespace will be ignored.  If the filter constructor is passed anything
- * that is not a list of numeric ranges of this sort, including being passed
- * an empty String, then an <code>IllegalArgumentException</code> will be
- * thrown.
- *
- * @author Christopher Manning
- * @version 2003/03/31
- */
-public class NumberRangesFileFilter implements FileFilter {
-
-  private List<Pair<Integer,Integer>> ranges = new ArrayList<Pair<Integer,Integer>>();
-  private boolean recursively;
-
-
-  /**
-   * Sets up a NumberRangesFileFilter by specifying the ranges of numbers
-   * to accept, and whether to also traverse
-   * folders for recursive search.
-   *
-   * @param ranges  The ranges of numbers to accept (see class documentation)
-   * @param recurse Whether to go into subfolders
-   * @throws IllegalArgumentException If the String ranges does not
-   *                                  contain a suitable ranges format
-   */
-  public NumberRangesFileFilter(String ranges, boolean recurse) {
-    recursively = recurse;
-    try {
-      String[] ra = ranges.split(",");
-      for (String range : ra) {
-        String[] one = range.split("-");
-        if (one.length > 2) {
-          throw new IllegalArgumentException("Constructor argument not valid list of number ranges (too many hyphens): ");
-        } else {
-          int low = Integer.parseInt(one[0].trim());
-          int high;
-          if (one.length == 2) {
-            high = Integer.parseInt(one[1].trim());
-          } else {
-            high = low;
-          }
-          Pair<Integer, Integer> p = new Pair<Integer, Integer>(Integer.valueOf(low), Integer.valueOf(high));
-          this.ranges.add(p);
-        }
-      }
-    } catch (Exception e) {
-      IllegalArgumentException iae = new IllegalArgumentException("Constructor argument not valid list of number ranges: " + ranges);
-      iae.initCause(e);
-      throw iae;
-    }
-  }
-
-
-  /**
-   * Checks whether a file satisfies the number range selection filter.
-   * The test is evaluated based on the rightmost natural number found in
-   * the filename string (proper, not including directories in a path).
-   *
-   * @param file The file
-   * @return true If the file is within the ranges filtered for
-   */
-  public boolean accept(File file) {
-    if (file.isDirectory()) {
-      return recursively;
-    } else {
-      String filename = file.getName();
-      return accept(filename);
-    }
-  }
-
-
-  /**
-   * Checks whether a String satisfies the number range selection filter.
-   * The test is evaluated based on the rightmost natural number found in
-   * the String.   Note that this is just evaluated on the String as given.
-   * It is not trying to interpret it as a filename and to decide whether
-   * the file exists, is a directory or anything like that.
-   *
-   * @param str The String to check for a number in
-   * @return true If the String is within the ranges filtered for
-   */
-  public boolean accept(String str) {
-    int k = str.length() - 1;
-    char c = str.charAt(k);
-    while (k >= 0 && !Character.isDigit(c)) {
-      k--;
-      if (k >= 0) {
-        c = str.charAt(k);
-      }
-    }
-    if (k < 0) {
-      return false;
-    }
-    int j = k;
-    c = str.charAt(j);
-    while (j >= 0 && Character.isDigit(c)) {
-      j--;
-      if (j >= 0) {
-        c = str.charAt(j);
-      }
-    }
-    j++;
-    k++;
-    String theNumber = str.substring(j, k);
-    int number = Integer.parseInt(theNumber);
-    for (Pair<Integer,Integer> p : ranges) {
-      int low = p.first().intValue();
-      int high = p.second().intValue();
-      if (number >= low && number <= high) {
-        return true;
-      }
-    }
-    return false;
-  }
-
-
-  @Override
-  public String toString() {
-    StringBuilder sb;
-    if (recursively) {
-      sb = new StringBuilder("recursively ");
-    } else {
-      sb = new StringBuilder();
-    }
-    for (Iterator<Pair<Integer,Integer>> it = ranges.iterator(); it.hasNext(); ) {
-      Pair<Integer,Integer> p = it.next();
-      int low = p.first().intValue();
-      int high = p.second().intValue();
-      if (low == high) {
-        sb.append(low);
-      } else {
-        sb.append(low);
-        sb.append('-');
-        sb.append(high);
-      }
-      if (it.hasNext()) {
-        sb.append(',');
-      }
-    }
-    return sb.toString();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/RegExFileFilter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/RegExFileFilter.java
deleted file mode 100644
index bc6b4cf..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/RegExFileFilter.java
+++ /dev/null
@@ -1,36 +0,0 @@
-package edu.stanford.nlp.io;
-
-import java.io.*;
-import java.util.regex.*;
-/**
- * Implements a file filter that filters based on a passed in {@link java.util.regex.Pattern}.
- * Preciesly, it will accept exactly those {@link java.io.File}s for which
- * the matches() method of the Pattern returns true on the output of the getName()
- * method of the File.
- *
- * @author Jenny Finkel
- */
-public class RegExFileFilter implements FileFilter {
-
-  private Pattern pattern = null;
-
-  /**
-   * Sets up a RegExFileFilter which checks if the file name (not the
-   * entire path) matches the passed in {@link java.util.regex.Pattern}.
-   */
-  public RegExFileFilter(Pattern pattern) {
-    this.pattern = pattern;
-  }
-
-  /**
-   * Checks whether a file satisfies the selection filter.
-   *
-   * @param file The file
-   * @return true if the file is acceptable
-   */
-  public boolean accept(File file) {
-    Matcher m = pattern.matcher(file.getName());
-    return m.matches();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/RuntimeIOException.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/RuntimeIOException.java
deleted file mode 100644
index 505779c..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/io/RuntimeIOException.java
+++ /dev/null
@@ -1,51 +0,0 @@
-package edu.stanford.nlp.io;
-
-
-/**
- * An unchecked version of {@link java.io.IOException}. Thrown by
- * {@link edu.stanford.nlp.process.Tokenizer} implementing classes,
- * among other things.
- *
- * @author Roger Levy
- * @author Christopher Manning
- */
-public class RuntimeIOException extends RuntimeException {
-
-  private static final long serialVersionUID = -8572218999165094626L;
-
-  /**
-   * Creates a new exception.
-   */
-  public RuntimeIOException() {
-  }
-
-
-  /**
-   * Creates a new exception with a message.
-   *
-   * @param message the message for the exception
-   */
-  public RuntimeIOException(String message) {
-    super(message);
-  }
-
-  /**
-   * Creates a new exception with an embedded cause.
-   *
-   * @param cause The cause for the exception
-   */
-  public RuntimeIOException(Throwable cause) {
-    super(cause);
-  }
-
-  /**
-   * Creates a new exception with a message and an embedded cause.
-   *
-   * @param message the message for the exception
-   * @param cause   The cause for the exception
-   */
-  public RuntimeIOException(String message, Throwable cause) {
-    super(message, cause);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/AnnotationLookup.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/AnnotationLookup.java
deleted file mode 100644
index 27d4c7e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/AnnotationLookup.java
+++ /dev/null
@@ -1,230 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.util.HashMap;
-import java.util.Map;
-
-import edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.OriginalTextAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.FeaturesAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.IDFAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.InterpretationAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.LeftTermAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.MarkingAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.MorphoCaseAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.MorphoGenAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.MorphoNumAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.MorphoPersAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.NormalizedNamedEntityTagAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ParentAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.PolarityAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ProjectedCategoryAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ProtoAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.RoleAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadTagAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadWordAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.SentenceIndexAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ShapeAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.SpanAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.StemAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.VerbSenseAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.WordnetSynAnnotation;
-import edu.stanford.nlp.ling.CoreLabel.GenericAnnotation;
-import edu.stanford.nlp.util.ErasureUtils;
-
-/** @author Anna Rafferty */
-public class AnnotationLookup {
-
-  private AnnotationLookup() {}
-
-  public enum KeyLookup {
-    VALUE_KEY(ValueAnnotation.class, OldFeatureLabelKeys.VALUE_KEY),
-    TAG_KEY(PartOfSpeechAnnotation.class, OldFeatureLabelKeys.TAG_KEY),
-    WORD_KEY(TextAnnotation.class, OldFeatureLabelKeys.WORD_KEY),
-    LEMMA_KEY(LemmaAnnotation.class, OldFeatureLabelKeys.LEMMA_KEY),
-    CATEGORY_KEY(CategoryAnnotation.class, OldFeatureLabelKeys.CATEGORY_KEY),
-    PROJ_CAT_KEY(ProjectedCategoryAnnotation.class, OldFeatureLabelKeys.PROJ_CAT_KEY),
-    HEAD_WORD_KEY("edu.stanford.nlp.ling.TreeCoreAnnotations.HeadWordAnnotation", OldFeatureLabelKeys.HEAD_WORD_KEY),
-    HEAD_TAG_KEY("edu.stanford.nlp.ling.TreeCoreAnnotations.HeadTagAnnotation", OldFeatureLabelKeys.HEAD_TAG_KEY),
-    INDEX_KEY(IndexAnnotation.class, OldFeatureLabelKeys.INDEX_KEY),
-    ARG_KEY(ArgumentAnnotation.class, OldFeatureLabelKeys.ARG_KEY),
-    MARKING_KEY(MarkingAnnotation.class, OldFeatureLabelKeys.MARKING_KEY),
-    SEMANTIC_HEAD_WORD_KEY(SemanticHeadWordAnnotation.class, OldFeatureLabelKeys.SEMANTIC_HEAD_WORD_KEY),
-    SEMANTIC_HEAD_POS_KEY(SemanticHeadTagAnnotation.class, OldFeatureLabelKeys.SEMANTIC_HEAD_POS_KEY),
-    VERB_SENSE_KEY(VerbSenseAnnotation.class, OldFeatureLabelKeys.VERB_SENSE_KEY),
-    CATEGORY_FUNCTIONAL_TAG_KEY(CategoryFunctionalTagAnnotation.class, OldFeatureLabelKeys.CATEGORY_FUNCTIONAL_TAG_KEY),
-    NER_KEY(NamedEntityTagAnnotation.class, OldFeatureLabelKeys.NER_KEY),
-    SHAPE_KEY(ShapeAnnotation.class, OldFeatureLabelKeys.SHAPE_KEY),
-    LEFT_TERM_KEY(LeftTermAnnotation.class, OldFeatureLabelKeys.LEFT_TERM_KEY),
-    PARENT_KEY(ParentAnnotation.class, OldFeatureLabelKeys.PARENT_KEY),
-    SPAN_KEY(SpanAnnotation.class, OldFeatureLabelKeys.SPAN_KEY),
-    BEFORE_KEY(BeforeAnnotation.class, OldFeatureLabelKeys.BEFORE_KEY),
-    AFTER_KEY(AfterAnnotation.class, OldFeatureLabelKeys.AFTER_KEY),
-    CURRENT_KEY(OriginalTextAnnotation.class, OldFeatureLabelKeys.CURRENT_KEY),
-    ANSWER_KEY(AnswerAnnotation.class, OldFeatureLabelKeys.ANSWER_KEY),
-    GOLDANSWER_Key(GoldAnswerAnnotation.class, OldFeatureLabelKeys.GOLDANSWER_KEY),
-    FEATURES_KEY(FeaturesAnnotation.class, OldFeatureLabelKeys.FEATURES_KEY),
-    INTERPRETATION_KEY(InterpretationAnnotation.class, OldFeatureLabelKeys.INTERPRETATION_KEY),
-    ROLE_KEY(RoleAnnotation.class, OldFeatureLabelKeys.ROLE_KEY),
-    GAZETTEER_KEY(GazetteerAnnotation.class, OldFeatureLabelKeys.GAZETTEER_KEY),
-    STEM_KEY(StemAnnotation.class, OldFeatureLabelKeys.STEM_KEY),
-    POLARITY_KEY(PolarityAnnotation.class, OldFeatureLabelKeys.POLARITY_KEY),
-    CH_CHAR_KEY(ChineseCharAnnotation.class, OldFeatureLabelKeys.CH_CHAR_KEY),
-    CH_ORIG_SEG_KEY(ChineseOrigSegAnnotation.class, OldFeatureLabelKeys.CH_ORIG_SEG_KEY),
-    CH_SEG_KEY(ChineseSegAnnotation.class, OldFeatureLabelKeys.CH_SEG_KEY),
-    BEGIN_POSITION_KEY(CharacterOffsetBeginAnnotation.class, OldFeatureLabelKeys.BEGIN_POSITION_KEY),
-    END_POSITION_KEY(CharacterOffsetEndAnnotation.class, OldFeatureLabelKeys.END_POSITION_KEY),
-    DOCID_KEY(DocIDAnnotation.class, OldFeatureLabelKeys.DOCID_KEY),
-    SENTINDEX_KEY(SentenceIndexAnnotation.class, OldFeatureLabelKeys.SENTINDEX_KEY),
-    IDF_KEY(IDFAnnotation.class, "idf"),
-    END_POSITION_KEY2(CharacterOffsetEndAnnotation.class, "endPosition"),
-    CHUNK_KEY(ChunkAnnotation.class, "chunk"),
-    NORMALIZED_NER_KEY(NormalizedNamedEntityTagAnnotation.class, "normalized"),
-    MORPHO_NUM_KEY(MorphoNumAnnotation.class,"num"),
-    MORPHO_PERS_KEY(MorphoPersAnnotation.class,"pers"),
-    MORPHO_GEN_KEY(MorphoGenAnnotation.class,"gen"),
-    MORPHO_CASE_KEY(MorphoCaseAnnotation.class,"case"),
-    WORDNET_SYN_KEY(WordnetSynAnnotation.class,"wordnetsyn"),
-    PROTO_SYN_KEY(ProtoAnnotation.class,"proto");
-
-    public final Class<? extends CoreAnnotation<?>> coreKey;
-    public final String oldKey;
-
-    private <T> KeyLookup(Class<? extends CoreAnnotation<T>> coreKey, String oldKey) {
-      this.coreKey = coreKey;
-      this.oldKey = oldKey;
-    }
-
-    /**
-     * This constructor allows us to use reflection for loading old class keys.
-     * This is useful because we can then create distributions that do not have
-     * all of the classes required for all the old keys (such as trees package classes).
-     */
-    private KeyLookup(String className, String oldKey) {
-      Class<?> keyClass;
-      try {
-       keyClass = Class.forName(className);
-      } catch(ClassNotFoundException e) {
-        GenericAnnotation<Object> newKey = new GenericAnnotation<Object>() {
-          public Class<Object> getType() { return Object.class;} };
-        keyClass = newKey.getClass();
-      }
-      this.coreKey = ErasureUtils.uncheckedCast(keyClass);
-      this.oldKey = oldKey;
-    }
-
-
-  }
-
-  /**
-   * Returns a CoreAnnotation class key for the given old-style FeatureLabel
-   * key if one exists; null otherwise.
-   */
-  public static KeyLookup getCoreKey(String oldKey) {
-    for (KeyLookup lookup : KeyLookup.values()) {
-      if (lookup.oldKey.equals(oldKey)) {
-        return lookup;
-      }
-    }
-    return null;
-  }
-
-  private static Map<Class<CoreAnnotation<?>>,Class<?>> valueCache
-  = new HashMap<Class<CoreAnnotation<?>>,Class<?>>();
-
-  /**
-   * Returns the runtime value type associated with the given key.  Caches
-   * results.
-   */
-  @SuppressWarnings("unchecked")
-  public static Class<?> getValueType(Class<? extends CoreAnnotation> key) {
-    Class type = valueCache.get(key);
-    if (type == null) {
-      try {
-        type = key.newInstance().getType();
-      } catch (Exception e) {
-        throw new RuntimeException("Unexpected failure to instantiate - is your key class fancy?", e);
-      }
-      valueCache.put((Class)key, type);
-    }
-    return type;
-  }
-
-  /**
-   * Lookup table for mapping between old-style *Label keys and classes
-   * the provide comparable backings in the core.
-   */
-//OLD keys kept around b/c we're kill IndexedFeatureLabel and these keys used to live there
-  private static class OldFeatureLabelKeys {
-
-    public static final String DOCID_KEY = "docID";
-    public static final String SENTINDEX_KEY = "sentIndex";
-    public static final Object WORD_FORMAT = "WORD_FORMAT";
-    public static final Object WORD_TAG_FORMAT = "WORD_TAG_FORMAT";
-    public static final Object WORD_TAG_INDEX_FORMAT = "WORD_TAG_INDEX_FORMAT";
-    public static final Object VALUE_FORMAT = "VALUE_FORMAT";
-    public static final Object COMPLETE_FORMAT = "COMPLETE_FORMAT";
-    public static final String VALUE_KEY = "value";
-    public static final String TAG_KEY = "tag";
-    public static final String WORD_KEY = "word";
-    public static final String LEMMA_KEY = "lemma";
-    public static final String CATEGORY_KEY = "cat";
-    public static final String PROJ_CAT_KEY = "pcat";
-    public static final String HEAD_WORD_KEY = "hw";
-    public static final String HEAD_TAG_KEY = "ht";
-    public static final String INDEX_KEY = "idx";
-    public static final String ARG_KEY = "arg";
-    public static final String MARKING_KEY = "mark";
-    public static final String SEMANTIC_HEAD_WORD_KEY = "shw";
-    public static final String SEMANTIC_HEAD_POS_KEY = "shp";
-    public static final String VERB_SENSE_KEY = "vs";
-    public static final String CATEGORY_FUNCTIONAL_TAG_KEY = "cft";
-    public static final String NER_KEY = "ner";
-    public static final String SHAPE_KEY = "shape";
-    public static final String LEFT_TERM_KEY = "LEFT_TERM";
-    public static final String PARENT_KEY = "PARENT";
-    public static final String SPAN_KEY = "SPAN";
-    public static final String BEFORE_KEY = "before";
-    public static final String AFTER_KEY = "after";
-    public static final String CURRENT_KEY = "current";
-    public static final String ANSWER_KEY = "answer";
-    public static final String GOLDANSWER_KEY = "goldAnswer";
-    public static final String FEATURES_KEY = "features";
-    public static final String INTERPRETATION_KEY = "interpretation";
-    public static final String ROLE_KEY = "srl";
-    public static final String GAZETTEER_KEY = "gazetteer";
-    public static final String STEM_KEY = "stem";
-    public static final String POLARITY_KEY = "polarity";
-    public static final String CH_CHAR_KEY = "char";
-    public static final String CH_ORIG_SEG_KEY = "orig_seg"; // the segmentation info existing in the original text
-    public static final String CH_SEG_KEY = "seg"; // the segmentation information from the segmenter
-    public static final String BEGIN_POSITION_KEY = "BEGIN_POS";
-    public static final String END_POSITION_KEY = "END_POS";
-
-
-    private OldFeatureLabelKeys() {
-    }
-
-  } // end static class OldFeatureLabelKeys
-
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/BasicDatum.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/BasicDatum.java
deleted file mode 100644
index 5da9a3a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/BasicDatum.java
+++ /dev/null
@@ -1,146 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.List;
-
-/**
- * Basic implementation of Datum interface that can be constructed with a
- * Collection of features and one more more labels. The features must be
- * specified
- * at construction, but the labels can be set and/or changed later.
- *
- * @author Joseph Smarr (jsmarr@stanford.edu)
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (Templatization)
- *
- * @param <LabelType> The type of the labels in the Dataset
- * @param <FeatureType> The type of the features in the Dataset
- */
-public class BasicDatum<LabelType, FeatureType> implements Datum<LabelType, FeatureType> {
-
-  /**
-   * features for this Datum
-   */
-  @SuppressWarnings({"NonSerializableFieldInSerializableClass"})
-  private final Collection<FeatureType> features;
-
-  /**
-   * labels for this Datum. Invariant: always non-null
-   */
-  @SuppressWarnings({"NonSerializableFieldInSerializableClass"})
-  private final List<LabelType> labels = new ArrayList<LabelType>();
-
-  /**
-   * Constructs a new BasicDatum with the given features and labels.
-   */
-  public BasicDatum(Collection<FeatureType> features, Collection<LabelType> labels) {
-    this(features);
-    setLabels(labels);
-  }
-
-  /**
-   * Constructs a new BasicDatum with the given features and label.
-   */
-  public BasicDatum(Collection<FeatureType> features, LabelType label) {
-    this(features);
-    setLabel(label);
-  }
-
-  /**
-   * Constructs a new BasicDatum with the given features and no labels.
-   */
-  public BasicDatum(Collection<FeatureType> features) {
-    this.features = features;
-  }
-
-  /**
-   * Constructs a new BasicDatum with no features or labels.
-   */
-  public BasicDatum() {
-    this(null);
-  }
-
-  /**
-   * Returns the collection that this BasicDatum was constructed with.
-   */
-  public Collection<FeatureType> asFeatures() {
-    return (features);
-  }
-
-  /**
-   * Returns the first label for this Datum, or null if none have been set.
-   */
-  public LabelType label() {
-    return ((labels.size() > 0) ?  labels.get(0) : null);
-  }
-
-  /**
-   * Returns the complete List of labels for this Datum, which may be empty.
-   */
-  public Collection<LabelType> labels() {
-    return labels;
-  }
-
-  /**
-   * Removes all currently assigned Labels for this Datum then adds the
-   * given Label.
-   * Calling <tt>setLabel(null)</tt> effectively clears all labels.
-   */
-  public void setLabel(LabelType label) {
-    labels.clear();
-    addLabel(label);
-  }
-
-  /**
-   * Removes all currently assigned labels for this Datum then adds all
-   * of the given Labels.
-   */
-  public void setLabels(Collection<LabelType> labels) {
-    this.labels.clear();
-    if (labels != null) {
-      this.labels.addAll(labels);
-    }
-  }
-
-  /**
-   * Adds the given Label to the List of labels for this Datum if it is not
-   * null.
-   */
-  public void addLabel(LabelType label) {
-    if (label != null) {
-      labels.add(label);
-    }
-  }
-
-  /**
-   * Returns a String representation of this BasicDatum (lists features and labels).
-   */
-  @Override
-  public String toString() {
-    return ("BasicDatum[features=" + asFeatures() + ",labels=" + labels() + "]");
-  }
-
-
-  /**
-   * Returns whether the given Datum contains the same features as this Datum.
-   * Doesn't check the labels, should we change this?
-   */
-  @SuppressWarnings("unchecked")
-  @Override
-  public boolean equals(Object o) {
-    if (!(o instanceof Datum)) {
-      return (false);
-    }
-
-    Datum<LabelType, FeatureType> d = (Datum<LabelType, FeatureType>) o;
-    return features.equals(d.asFeatures());
-  }
-
-  public int hashCode() {
-    return features.hashCode();
-  }
-
-  private static final long serialVersionUID = -4857004070061779966L;
-
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CategoryWordTag.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CategoryWordTag.java
deleted file mode 100644
index 18f6eaa..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CategoryWordTag.java
+++ /dev/null
@@ -1,182 +0,0 @@
-package edu.stanford.nlp.ling;
-
-
-/**
- * A <code>CategoryWordTag</code> object acts as a complex Label
- * which contains a category, a head word, and a tag.
- * The category label is the primary <code>value</code>
- *
- * @author Christopher Manning
- */
-public class CategoryWordTag extends StringLabel implements HasCategory, HasWord, HasTag {
-
-  private static final long serialVersionUID = -745085381666943254L;
-
-  protected String word;
-  protected String tag;
-
-  /**
-   * If this is false, the tag and word are never printed in toString()
-   * calls.
-   */
-  public static boolean printWordTag = true;
-
-  /**
-   * If set to true, when a terminal or preterminal has as its category
-   * something that is also the word or tag value, the latter are
-   * suppressed.
-   */
-  public static boolean suppressTerminalDetails; // = false;
-
-
-  public CategoryWordTag() {
-    super();
-  }
-
-  /**
-   * This one argument constructor sets just the value.
-   *
-   * @param label the string that will become the category/value
-   */
-  public CategoryWordTag(String label) {
-    super(label);
-  }
-
-  public CategoryWordTag(String category, String word, String tag) {
-    super(category);
-    this.word = word;
-    this.tag = tag;
-  }
-
-  /**
-   * Creates a new CategoryWordTag label from an existing label.
-   * The oldLabel value() -- i.e., category -- is used for the new label.
-   * The tag and word
-   * are initialized iff the current label implements HasTag and HasWord
-   * respectively.
-   *
-   * @param oldLabel The label to use as a basis of this Label
-   */
-  public CategoryWordTag(Label oldLabel) {
-    super(oldLabel);
-    if (oldLabel instanceof HasTag) {
-      this.tag = ((HasTag) oldLabel).tag();
-    }
-    if (oldLabel instanceof HasWord) {
-      this.word = ((HasWord) oldLabel).word();
-    }
-  }
-
-  public String category() {
-    return value();
-  }
-
-  public void setCategory(String category) {
-    setValue(category);
-  }
-
-  public String word() {
-    return word;
-  }
-
-  public void setWord(String word) {
-    this.word = word;
-  }
-
-  public String tag() {
-    return tag;
-  }
-
-  public void setTag(String tag) {
-    this.tag = tag;
-  }
-
-  public void setCategoryWordTag(String category, String word, String tag) {
-    setCategory(category);
-    setWord(word);
-    setTag(tag);
-  }
-
-
-  /**
-   * Returns a <code>String</code> representation of the label.
-   * This attempts to be somewhat clever in choosing to print or
-   * suppress null components and the details of words or categories
-   * depending on the setting of <code>printWordTag</code> and
-   * <code>suppressTerminalDetails</code>.
-   *
-   * @return The label as a string
-   */
-  @Override
-  public String toString() {
-    if (category() != null) {
-      if ((word() == null || tag() == null) || !printWordTag || (suppressTerminalDetails && (word().equals(category()) || tag().equals(category())))) {
-        return category();
-      } else {
-        return category() + "[" + word() + "/" + tag() + "]";
-      }
-    } else {
-      if (tag() == null) {
-        return word();
-      } else {
-        return word() + "/" + tag();
-      }
-    }
-  }
-
-
-  /**
-   * Returns a <code>String</code> representation of the label.
-   * If the argument String is "full" then all components of the label
-   * are returned, and otherwise the normal toString() is returned.
-   *
-   * @return The label as a string
-   */
-  public String toString(String mode) {
-    if ("full".equals(mode)) {
-        return category() + "[" + word() + "/" + tag() + "]";
-    }
-    return toString();
-  }
-
-
-  /**
-   * Set everything by reversing a toString operation.
-   * This should be added at some point.
-   */
-  @Override
-  public void setFromString(String labelStr) {
-    throw new UnsupportedOperationException();
-  }
-
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class LabelFactoryHolder {
-    private LabelFactoryHolder() {}
-    private static final LabelFactory lf = new CategoryWordTagFactory();
-  }
-
-  /**
-   * Return a factory for this kind of label
-   * (i.e., <code>CategoryWordTag</code>).
-   * The factory returned is always the same one (a singleton).
-   *
-   * @return The label factory
-   */
-  @Override
-  public LabelFactory labelFactory() {
-    return LabelFactoryHolder.lf;
-  }
-
-
-  /**
-   * Return a factory for this kind of label
-   *
-   * @return The label factory
-   */
-  public static LabelFactory factory() {
-    return LabelFactoryHolder.lf;
-  }
-
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CategoryWordTagFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CategoryWordTagFactory.java
deleted file mode 100644
index c11da31..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CategoryWordTagFactory.java
+++ /dev/null
@@ -1,75 +0,0 @@
-package edu.stanford.nlp.ling;
-
-
-/**
- * A <code>CategoryWordTagFactory</code> is a factory that makes
- * a <code>Label</code> which is a <code>CategoryWordTag</code> triplet.
- *
- * @author Christopher Manning
- */
-public class CategoryWordTagFactory implements LabelFactory {
-
-  /**
-   * Make a new label with this <code>String</code> as the "name".
-   *
-   * @param labelStr The string to use as a label
-   * @return The newly created Label
-   */
-  public Label newLabel(String labelStr) {
-    return new CategoryWordTag(labelStr);
-  }
-
-  /**
-   * Make a new label with this <code>String</code> as the value.
-   * This implementation ignores the options
-   *
-   * @param labelStr The String that will be used for balue
-   * @param options  This argument is ignored
-   * @return The newly created Label
-   */
-  public Label newLabel(String labelStr, int options) {
-    return new CategoryWordTag(labelStr);
-  }
-
-  /**
-   * Make a new label with this <code>String</code> as the "name".
-   *
-   * @param labelStr The string to use as a label
-   * @return The newly created Label
-   */
-  public Label newLabelFromString(String labelStr) {
-    CategoryWordTag cwt = new CategoryWordTag();
-    cwt.setFromString(labelStr);
-    return cwt;
-  }
-
-  /**
-   * Create a new CategoryWordTag label, where the label is formed from
-   * the various <code>String</code> objects passed in.
-   *
-   * @param word     The word part of the label
-   * @param tag      The tag part of the label
-   * @param category The category part of the label
-   * @return The newly created Label
-   */
-  public Label newLabel(String word, String tag, String category) {
-    // System.out.println("Making new CWT label: " + category + " | " +
-    //		   word + " | " + tag);
-    return new CategoryWordTag(category, word, tag);
-  }
-
-  /**
-   * Create a new <code>CategoryWordTag Label</code>, where the label is
-   * formed from
-   * the <code>Label</code> object passed in.  Depending on what fields
-   * each label has, other things will be <code>null</code>.
-   *
-   * @param oldLabel The Label that the new label is being created from
-   * @return a new label of a particular type
-   */
-  public Label newLabel(Label oldLabel) {
-    return new CategoryWordTag(oldLabel);
-  }
-
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CoreAnnotation.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CoreAnnotation.java
deleted file mode 100644
index 41c85ac..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CoreAnnotation.java
+++ /dev/null
@@ -1,25 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.TypesafeMap;
-
-/**
- * The base class for any annotation that can be marked on a {@link CoreMap},
- * parameterized by the type of the value associated with the annotation.
- * Subclasses of this class are the keys in the {@link CoreMap}, so they are
- * instantiated only by utility methods in {@link CoreAnnotations}.
- * 
- * @author dramage
- * @author rafferty
- */
-public interface CoreAnnotation<V>
-  extends TypesafeMap.Key<CoreMap, V> {
-
-  /**
-   * Returns the type associated with this annotation.  This method must
-   * return the same class type as its value type parameter.  It feels like
-   * one should be able to get away without this method, but because Java
-   * erases the generic type signature, that info disappears at runtime.
-   */
-  public Class<V> getType();
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CoreAnnotations.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CoreAnnotations.java
deleted file mode 100644
index dbb6486..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CoreAnnotations.java
+++ /dev/null
@@ -1,1457 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.util.Calendar;
-import java.util.List;
-import java.util.Map;
-import java.util.SortedSet;
-
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.ErasureUtils;
-import edu.stanford.nlp.util.IntPair;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.Triple;
-
-/**
- * <p>
- * Set of common annotations for {@link CoreMap}s. The classes
- * defined here are typesafe keys for getting and setting annotation
- * values. These classes need not be instantiated outside of this
- * class. e.g {@link TextAnnotation}.class serves as the key and a
- * <code>String</code> serves as the value containing the
- * corresponding word.
- * </p>
- *
- * <p>
- * New types of {@link CoreAnnotation} can be defined anywhere that is
- * convenient in the source tree - they are just classes. This file exists to
- * hold widely used "core" annotations and others inherited from the
- * {@link Label} family. In general, most keys should be placed in this file as
- * they may often be reused throughout the code. This architecture allows for
- * flexibility, but in many ways it should be considered as equivalent to an
- * enum in which everything should be defined
- * </p>
- *
- * <p>
- * The getType method required by CoreAnnotation must return the same class type
- * as its value type parameter. It feels like one should be able to get away
- * without that method, but because Java erases the generic type signature, that
- * info disappears at runtime. See {@link ValueAnnotation} for an example.
- * </p>
- *
- * @author dramage
- * @author rafferty
- * @author bethard
- */
-public class CoreAnnotations {
-
-  private CoreAnnotations() {
-  } // only static members
-
-  /**
-   * The CoreMap key identifying the annotation's text.
-   *
-   * Note that this key is intended to be used with many different kinds of
-   * annotations - documents, sentences and tokens all have their own text.
-   */
-  public static class TextAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-
-  /**
-   * The CoreMap key for getting the lemma (morphological stem) of a token.
-   *
-   * This key is typically set on token annotations.
-   *
-   * TODO: merge with StemAnnotation?
-   */
-  public static class LemmaAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The CoreMap key for getting the Penn part of speech of a token.
-   *
-   * This key is typically set on token annotations.
-   */
-  public static class PartOfSpeechAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The CoreMap key for getting the token-level named entity tag (e.g., DATE,
-   * PERSON, etc.)
-   *
-   * This key is typically set on token annotations.
-   */
-  public static class NamedEntityTagAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The CoreMap key for getting the token-level named entity tag (e.g., DATE,
-   * PERSON, etc.) from a previous NER tagger. NERFeatureFactory is sensitive to
-   * this tag and will turn the annotations from the previous NER tagger into
-   * new features. This is currently used to implement one level of stacking --
-   * we may later change it to take a list as needed.
-   *
-   * This key is typically set on token annotations.
-   */
-  public static class StackedNamedEntityTagAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The CoreMap key for getting the token-level true case annotation (e.g.,
-   * INIT_UPPER)
-   *
-   * This key is typically set on token annotations.
-   */
-  public static class TrueCaseAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The CoreMap key identifying the annotation's true-cased text.
-   *
-   * Note that this key is intended to be used with many different kinds of
-   * annotations - documents, sentences and tokens all have their own text.
-   */
-  public static class TrueCaseTextAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The CoreMap key for getting the tokens contained by an annotation.
-   *
-   * This key should be set for any annotation that contains tokens. It can be
-   * done without much memory overhead using List.subList.
-   */
-  public static class TokensAnnotation implements CoreAnnotation<List<CoreLabel>> {
-    public Class<List<CoreLabel>> getType() {
-      return ErasureUtils.<Class<List<CoreLabel>>> uncheckedCast(List.class);
-    }
-  }
-
-  /**
-   * The CoreMap key for getting the tokens (can be words, phrases or anything that are of type CoreMap) contained by an annotation.
-   *
-   * This key should be set for any annotation that contains tokens (words, phrases etc). It can be
-   * done without much memory overhead using List.subList.
-   */
-  public static class GenericTokensAnnotation implements CoreAnnotation<List<CoreMap>> {
-    public Class<List<CoreMap>> getType() {
-      return ErasureUtils.<Class<List<CoreMap>>> uncheckedCast(List.class);
-    }
-  }
-
-  /**
-   * The CoreMap key for getting the sentences contained by an annotation.
-   *
-   * This key is typically set only on document annotations.
-   */
-  public static class SentencesAnnotation implements CoreAnnotation<List<CoreMap>> {
-    public Class<List<CoreMap>> getType() {
-      return ErasureUtils.uncheckedCast(List.class);
-    }
-  }
-
-  /**
-   * The CoreMap key for getting the paragraphs contained by an annotation.
-   *
-   * This key is typically set only on document annotations.
-   */
-  public static class ParagraphsAnnotation implements CoreAnnotation<List<CoreMap>> {
-    public Class<List<CoreMap>> getType() {
-      return ErasureUtils.uncheckedCast(List.class);
-    }
-  }
-
-  /**
-   * The CoreMap key identifying the first token included in an annotation. The
-   * token with index 0 is the first token in the document.
-   *
-   * This key should be set for any annotation that contains tokens.
-   */
-  public static class TokenBeginAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * The CoreMap key identifying the last token after the end of an annotation.
-   * The token with index 0 is the first token in the document.
-   *
-   * This key should be set for any annotation that contains tokens.
-   */
-  public static class TokenEndAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * The CoreMap key identifying the date and time associated with an
-   * annotation.
-   *
-   * This key is typically set on document annotations.
-   */
-  public static class CalendarAnnotation implements CoreAnnotation<Calendar> {
-    public Class<Calendar> getType() {
-      return Calendar.class;
-    }
-  }
-
-  /**
-   * These are the keys hashed on by IndexedWord
-   */
-  /**
-   * This refers to the unique identifier for a "document", where document may
-   * vary based on your application.
-   */
-  public static class DocIDAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * This indexes a token number inside a sentence.  Standardly, tokens are
-   * indexed within a sentence starting at 1 (not 0: we follow common parlance
-   * whereby we speak of the first word of a sentence).
-   * This is generally an individual word or feature index - it is local, and
-   * may not be uniquely identifying without other identifiers such as sentence
-   * and doc. However, if these are the same, the index annotation should be a
-   * unique identifier for differentiating objects.
-   */
-  public static class IndexAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * This indexes the beginning of a span of words, e.g., a constituent in a
-   * tree. See {@link edu.stanford.nlp.trees.Tree#indexSpans(int)}. This annotation counts tokens.
-   * It standardly indexes from 1 (like IndexAnnotation).
-   */
-  public static class BeginIndexAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * This indexes the end of a span of words, e.g., a constituent in a
-   * tree.  See {@link edu.stanford.nlp.trees.Tree#indexSpans(int)}. This annotation counts
-   * tokens.  It standardly indexes from 1 (like IndexAnnotation).
-   * The end index is not a fencepost: its value is equal to the
-   * IndexAnnotation of the last word in the span.
-   */
-  public static class EndIndexAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * This indicates the sentence should end at this token.  Used to
-   * force the ssplit annotator (eg the WordToSentenceProcessor) to
-   * start a new sentence at the next token.
-   */
-  public static class ForcedSentenceEndAnnotation
-  implements CoreAnnotation<Boolean> {
-    public Class<Boolean> getType() {
-      return Boolean.class;
-    }
-  }
-
-  /**
-   * Unique identifier within a document for a given sentence.
-   */
-  public static class SentenceIndexAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * Contains the "value" - an ill-defined string used widely in MapLabel.
-   */
-  public static class ValueAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class CategoryAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The exact original surface form of a token.  This is created in the
-   * invertible PTBTokenizer. The tokenizer may normalize the token form to
-   * match what appears in the PTB, but this key will hold the original characters.
-   */
-  public static class OriginalTextAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * Annotation for the whitespace characters appearing before this word. This
-   * can be filled in by the tokenizer so that the original text string can be
-   * reconstructed.
-   */
-  public static class BeforeAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * Annotation for the whitespace characters appear after this word. This can
-   * be filled in by the tokenizer so that the original text string can be
-   * reconstructed.
-   */
-  public static class AfterAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * CoNLL dep parsing - coarser POS tags.
-   */
-  public static class CoarseTagAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * CoNLL dep parsing - the dependency type
-   */
-  public static class CoNLLDepAnnotation implements CoreAnnotation<CoreMap> {
-    public Class<CoreMap> getType() {
-      return CoreMap.class;
-    }
-  }
-
-  /**
-   * CoNLL SRL/dep parsing - whether the word is a predicate
-   */
-  public static class CoNLLPredicateAnnotation implements CoreAnnotation<Boolean> {
-    public Class<Boolean> getType() {
-      return Boolean.class;
-    }
-  }
-
-  /**
-   * CoNLL SRL/dep parsing - map which, for the current word, specifies its
-   * specific role for each predicate
-   */
-  @SuppressWarnings("unchecked")
-  public static class CoNLLSRLAnnotation implements CoreAnnotation<Map> {
-    public Class<Map> getType() {
-      return Map.class;
-    }
-  }
-
-  /**
-   * CoNLL dep parsing - the dependency type
-   */
-  public static class CoNLLDepTypeAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * CoNLL dep parsing - the index of the word which is the parent of this word
-   * in the dependency tree
-   */
-  public static class CoNLLDepParentIndexAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * Inverse document frequency of the word this label represents
-   */
-  public static class IDFAnnotation implements CoreAnnotation<Double> {
-    public Class<Double> getType() {
-      return Double.class;
-    }
-  }
-
-  /**
-   * Keys from AbstractMapLabel (descriptions taken from that class)
-   */
-  /**
-   * The standard key for storing a projected category in the map, as a String.
-   * For any word (leaf node), the projected category is the syntactic category
-   * of the maximal constituent headed by the word. Used in SemanticGraph.
-   */
-  public static class ProjectedCategoryAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The standard key for a propbank label which is of type Argument
-   */
-  public static class ArgumentAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * Another key used for propbank - to signify core arg nodes or predicate
-   * nodes
-   */
-  public static class MarkingAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The standard key for Semantic Head Word which is a String
-   */
-  public static class SemanticHeadWordAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The standard key for Semantic Head Word POS which is a String
-   */
-  public static class SemanticHeadTagAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * Probank key for the Verb sense given in the Propbank Annotation, should
-   * only be in the verbnode
-   */
-  public static class VerbSenseAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The standard key for storing category with functional tags.
-   */
-  public static class CategoryFunctionalTagAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * This is an NER ID annotation (in case the all caps parsing didn't work out
-   * for you...)
-   */
-  public static class NERIDAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The key for the normalized value of numeric named entities.
-   */
-  public static class NormalizedNamedEntityTagAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public enum SRL_ID {
-    ARG, NO, ALL_NO, REL
-  }
-
-  /**
-   * The key for semantic role labels (Note: please add to this description if
-   * you use this key)
-   */
-  public static class SRLIDAnnotation implements CoreAnnotation<SRL_ID> {
-    public Class<SRL_ID> getType() {
-      return SRL_ID.class;
-    }
-  }
-
-  /**
-   * The standard key for the "shape" of a word: a String representing the type
-   * of characters in a word, such as "Xx" for a capitalized word. See
-   * {@link edu.stanford.nlp.process.WordShapeClassifier} for functions for
-   * making shape strings.
-   */
-  public static class ShapeAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The Standard key for storing the left terminal number relative to the root
-   * of the tree of the leftmost terminal dominated by the current node
-   */
-  public static class LeftTermAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * The standard key for the parent which is a String
-   */
-  public static class ParentAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class INAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The standard key for span which is an IntPair
-   */
-  public static class SpanAnnotation implements CoreAnnotation<IntPair> {
-    public Class<IntPair> getType() {
-      return IntPair.class;
-    }
-  }
-
-  /**
-   * The standard key for the answer which is a String
-   */
-  public static class AnswerAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The standard key for gold answer which is a String
-   */
-  public static class GoldAnswerAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The standard key for the features which is a Collection
-   */
-  public static class FeaturesAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The standard key for the semantic interpretation
-   */
-  public static class InterpretationAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The standard key for the semantic role label of a phrase.
-   */
-  public static class RoleAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The standard key for the gazetteer information
-   */
-  public static class GazetteerAnnotation implements CoreAnnotation<List<String>> {
-    @SuppressWarnings( { "unchecked" })
-    public Class<List<String>> getType() {
-      return (Class) List.class;
-    }
-  }
-
-  /**
-   * Morphological stem of the word this label represents
-   */
-  public static class StemAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class PolarityAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class MorphoNumAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class MorphoPersAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class MorphoGenAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class MorphoCaseAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * for Chinese: character level information, segmentation
-   */
-  public static class ChineseCharAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class ChineseOrigSegAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class ChineseSegAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * Not sure exactly what this is, but it is different from
-   * ChineseSegAnnotation and seems to indicate if the text is segmented
-   */
-  public static class ChineseIsSegmentedAnnotation implements CoreAnnotation<Boolean> {
-    public Class<Boolean> getType() {
-      return Boolean.class;
-    }
-  }
-
-  /**
-   * The CoreMap key identifying the offset of the first character of an
-   * annotation. The character with index 0 is the first character in the
-   * document.
-   *
-   * This key should be set for any annotation that represents a span of text.
-   */
-  public static class CharacterOffsetBeginAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * The CoreMap key identifying the offset of the last character after the end
-   * of an annotation. The character with index 0 is the first character in the
-   * document.
-   *
-   * This key should be set for any annotation that represents a span of text.
-   */
-  public static class CharacterOffsetEndAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * Key for relative value of a word - used in RTE
-   */
-  public static class CostMagnificationAnnotation implements CoreAnnotation<Double> {
-    public Class<Double> getType() {
-      return Double.class;
-    }
-  }
-
-  public static class WordSenseAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  @SuppressWarnings( { "unchecked" })
-  public static class SRLInstancesAnnotation implements CoreAnnotation<List<List<Pair<String, Pair>>>> {
-    public Class<List<List<Pair<String, Pair>>>> getType() {
-      return (Class) List.class;
-    }
-  }
-
-  /**
-   * Used by RTE to track number of text sentences, to determine when hyp
-   * sentences begin.
-   */
-  public static class NumTxtSentencesAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * Used in Trees
-   */
-  public static class TagLabelAnnotation implements CoreAnnotation<Label> {
-    public Class<Label> getType() {
-      return Label.class;
-    }
-  }
-
-  /**
-   * Used in CRFClassifier stuff PositionAnnotation should possibly be an int -
-   * it's present as either an int or string depending on context CharAnnotation
-   * may be "CharacterAnnotation" - not sure
-   */
-  public static class DomainAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class PositionAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class CharAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  // note: this is not a catchall "unknown" annotation but seems to have a
-  // specific meaning for sequence classifiers
-  public static class UnknownAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class IDAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  // possibly this should be grouped with gazetteer annotation - original key
-  // was "gaz"
-  public static class GazAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class PossibleAnswersAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class DistSimAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class AbbrAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class ChunkAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class GovernorAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class AbgeneAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class GeniaAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class AbstrAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class FreqAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class DictAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class WebAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class FemaleGazAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class MaleGazAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class LastGazAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * it really seems like this should have a different name or else be a boolean
-   */
-  public static class IsURLAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class EntityTypeAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * it really seems like this should have a different name or else be a boolean
-   */
-  public static class IsDateRangeAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class PredictedAnswerAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /** Seems like this could be consolidated with something else... */
-  public static class OriginalAnswerAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /** Seems like this could be consolidated with something else... */
-  public static class OriginalCharAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class UTypeAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  public static class EntityRuleAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class SectionAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class WordPositionAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class ParaPositionAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class SentencePositionAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  // Why do both this and sentenceposannotation exist? I don't know, but one
-  // class
-  // uses both so here they remain for now...
-  public static class SentenceIDAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class EntityClassAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class AnswerObjectAnnotation implements CoreAnnotation<Object> {
-    public Class<Object> getType() {
-      return Object.class;
-    }
-  }
-
-  /**
-   * Used in Task3 Pascal system
-   */
-  public static class BestCliquesAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class BestFullAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class LastTaggedAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * Used in wsd.supwsd package
-   */
-  public static class LabelAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class NeighborsAnnotation implements CoreAnnotation<List<Pair<WordLemmaTag, String>>> {
-    @SuppressWarnings( { "unchecked" })
-    public Class<List<Pair<WordLemmaTag, String>>> getType() {
-      return (Class) List.class;
-    }
-  }
-
-  public static class ContextsAnnotation implements CoreAnnotation<List<Pair<String, String>>> {
-    @SuppressWarnings( { "unchecked" })
-    public Class<List<Pair<String, String>>> getType() {
-      return (Class) List.class;
-    }
-  }
-
-  public static class DependentsAnnotation implements
-  CoreAnnotation<List<Pair<Triple<String, String, String>, String>>> {
-    @SuppressWarnings( { "unchecked" })
-    public Class<List<Pair<Triple<String, String, String>, String>>> getType() {
-      return (Class) List.class;
-    }
-  }
-
-  public static class WordFormAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class TrueTagAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class SubcategorizationAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class BagOfWordsAnnotation implements CoreAnnotation<List<Pair<String, String>>> {
-    @SuppressWarnings( { "unchecked" })
-    public Class<List<Pair<String, String>>> getType() {
-      return (Class) List.class;
-    }
-  }
-
-  /**
-   * Used in srl.unsup
-   */
-  public static class HeightAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class LengthAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * Used in Gale2007ChineseSegmenter
-   */
-  public static class LBeginAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class LMiddleAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class LEndAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class D2_LBeginAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class D2_LMiddleAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class D2_LEndAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class UBlockAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /** Used in Chinese segmenters for whether there was space before a character. */
-  public static class SpaceBeforeAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * Used in parser.discrim
-   */
-
-  /**
-   * The base version of the parser state, like NP or VBZ or ...
-   */
-  public static class StateAnnotation implements CoreAnnotation<CoreLabel> {
-    public Class<CoreLabel> getType() {
-      return CoreLabel.class;
-    }
-  }
-
-  /**
-   * used in binarized trees to say the name of the most recent child
-   */
-  public static class PrevChildAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * used in binarized trees to specify the first child in the rule for which
-   * this node is the parent
-   */
-  public static class FirstChildAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * whether the node is the parent in a unary rule
-   */
-  public static class UnaryAnnotation implements CoreAnnotation<Boolean> {
-    public Class<Boolean> getType() {
-      return Boolean.class;
-    }
-  }
-
-  /**
-   * annotation stolen from the lex parser
-   */
-  public static class DoAnnotation implements CoreAnnotation<Boolean> {
-    public Class<Boolean> getType() {
-      return Boolean.class;
-    }
-  }
-
-  /**
-   * annotation stolen from the lex parser
-   */
-  public static class HaveAnnotation implements CoreAnnotation<Boolean> {
-    public Class<Boolean> getType() {
-      return Boolean.class;
-    }
-  }
-
-  /**
-   * annotation stolen from the lex parser
-   */
-  public static class BeAnnotation implements CoreAnnotation<Boolean> {
-    public Class<Boolean> getType() {
-      return Boolean.class;
-    }
-  }
-
-  /**
-   * annotation stolen from the lex parser
-   */
-  public static class NotAnnotation implements CoreAnnotation<Boolean> {
-    public Class<Boolean> getType() {
-      return Boolean.class;
-    }
-  }
-
-  /**
-   * annotation stolen from the lex parser
-   */
-  public static class PercentAnnotation implements CoreAnnotation<Boolean> {
-    public Class<Boolean> getType() {
-      return Boolean.class;
-    }
-  }
-
-  /**
-   * specifies the base state of the parent of this node in the parse tree
-   */
-  public static class GrandparentAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * The key for storing a Head word as a string rather than a pointer (as in
-   * TreeCoreAnnotations.HeadWordAnnotation)
-   */
-  public static class HeadWordStringAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * Used in nlp.coref
-   */
-  public static class MonthAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class DayAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class YearAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * Used in propbank.srl
-   */
-  public static class PriorAnnotation implements CoreAnnotation<Map<String, Double>> {
-    @SuppressWarnings( { "unchecked" })
-    public Class<Map<String, Double>> getType() {
-      return (Class) Map.class;
-    }
-  }
-
-  public static class SemanticWordAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class SemanticTagAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class CovertIDAnnotation implements CoreAnnotation<List<IntPair>> {
-    @SuppressWarnings( { "unchecked" })
-    public Class<List<IntPair>> getType() {
-      return (Class) List.class;
-    }
-  }
-
-  public static class ArgDescendentAnnotation implements CoreAnnotation<Pair<String, Double>> {
-
-    public Class<Pair<String, Double>> getType() {
-      return ErasureUtils.uncheckedCast(Pair.class);
-    }
-  }
-
-  /**
-   * Used in nlp.trees. When nodes are duplicated in Stanford Dependencies
-   * conversion (to represent conjunction of PPs with preposition collapsing,
-   * this gets set to a positive number on duplicated nodes.
-   */
-  public static class CopyAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * Used in SimpleXMLAnnotator. The value is an XML element name String for the
-   * innermost element in which this token was contained.
-   */
-  public static class XmlElementAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  public static class XmlContextAnnotation implements CoreAnnotation<List<String>> {
-
-    public Class<List<String>> getType() {
-      return ErasureUtils.uncheckedCast(List.class);
-    }
-  }
-
-  /**
-   *
-   * Used for Topic Assignments from LDA or its equivalent models. The value is
-   * the topic ID assigned to the current token.
-   *
-   */
-  public static class TopicAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  // gets the synonymn of a word in the Wordnet (use a bit differently in sonalg's code)
-  public static class WordnetSynAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  //to get prototype feature, see Haghighi Exemplar driven learning
-  public static class ProtoAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  // Document date
-  // Needed by SUTime
-  public static class DocDateAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  // Numeric annotations
-
-  // Per token annotation indicating whether the token represents a NUMBER or ORDINAL
-  // (twenty first => NUMBER ORDINAL)
-  public static class NumericTypeAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  // Per token annotation indicating the numeric value of the token
-  // (twenty first => 20 1)
-  public static class NumericValueAnnotation implements CoreAnnotation<Number> {
-    public Class<Number> getType() {
-      return Number.class;
-    }
-  }
-
-  // Per token annotation indicating the numeric object associated with an annotation
-  public static class NumericObjectAnnotation implements CoreAnnotation<Object> {
-    public Class<Object> getType() {
-      return Object.class;
-    }
-  }
-
-  // Annotation indicating whether the numeric phrase the token is part of
-  // represents a NUMBER or ORDINAL (twenty first => ORDINAL ORDINAL)
-  public static class NumericCompositeValueAnnotation implements CoreAnnotation<Number> {
-    public Class<Number> getType() {
-      return Number.class;
-    }
-  }
-
-  // Annotation indicating the numeric value of the phrase the token is part of
-  // (twenty first => 21 21 )
-  public static class NumericCompositeTypeAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  // Annotation indicating the numeric object associated with an annotation
-  public static class NumericCompositeObjectAnnotation implements CoreAnnotation<Object> {
-    public Class<Object> getType() {
-      return Object.class;
-    }
-  }
-
-  public static class NumerizedTokensAnnotation implements CoreAnnotation<List<CoreMap>> {
-    @SuppressWarnings("unchecked")
-    public Class<List<CoreMap>> getType() {
-      return (Class) List.class;
-    }
-  }
-  /**
-   * used in dcoref.
-   * to store discourse information. (marking <TURN> or quotation)
-   */
-  public static class UtteranceAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * used in dcoref.
-   * to store speaker information.
-   */
-  public static class SpeakerAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-
-  /**
-   * used in dcoref.
-   * to store paragraph information.
-   */
-  public static class ParagraphAnnotation implements CoreAnnotation<Integer> {
-    public Class<Integer> getType() {
-      return Integer.class;
-    }
-  }
-
-  /**
-   * used in incremental DAG parser
-   */
-  public static class LeftChildrenNodeAnnotation implements CoreAnnotation<SortedSet<Pair<CoreLabel, String>>> {
-    public Class<SortedSet<Pair<CoreLabel, String>>> getType() {
-      return ErasureUtils.uncheckedCast(SortedSet.class);
-    }
-  }
-
-
-  /**
-   * The CoreMap key identifying the annotation's antecedent.
-   *
-   * The intent of this annotation is to go with words that have been
-   * linked via coref to some other entity.  For example, if "dog" is
-   * corefed to "cirrus" in the sentence "Cirrus, a small dog, ate an
-   * entire pumpkin pie", then "dog" would have the
-   * AntecedentAnnotation "cirrus".
-   *
-   * This annotation is currently used ONLY in the KBP slot filling project
-   * Generally, you want to use the usual coref graph annotations
-   */
-  public static class AntecedentAnnotation implements CoreAnnotation<String> {
-    public Class<String> getType() {
-      return String.class;
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CoreLabel.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CoreLabel.java
deleted file mode 100644
index 13ffff2..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CoreLabel.java
+++ /dev/null
@@ -1,564 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.util.HashMap;
-import java.util.Set;
-
-import edu.stanford.nlp.ling.AnnotationLookup.KeyLookup;
-import edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.OriginalTextAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.SentenceIndexAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation;
-import edu.stanford.nlp.util.ArrayCoreMap;
-import edu.stanford.nlp.util.CoreMap;
-
-
-/**
- * A CoreLabel is a Map from keys (which are Class objects) to values,
- * whose type is determined by the key.  That is, it is a heterogeneous
- * typesafe Map (see Josh Bloch, Effective Java, 2nd edition).
- * <p>
- * The CoreLabel class in particular bridges the gap between old-style JavaNLP
- * Labels and the new CoreMap infrastructure.  Instances of this class can be
- * used (almost) anywhere that the now-defunct FeatureLabel family could be
- * used.  This data structure is backed by an {@link ArrayCoreMap}.
- *
- * @author dramage
- * @author rafferty
- */
-public class CoreLabel extends ArrayCoreMap implements Label, HasWord, HasTag, HasCategory,
-HasContext, HasIndex, HasOffset {
-
-  private static final long serialVersionUID = 2L;
-
-
-  // /**
-  //  * Should warnings be printed when converting from MapLabel family.
-  //  */
-  // private static final boolean VERBOSE = false;
-
-
-  /** Default constructor, calls super() */
-  public CoreLabel() {
-    super();
-  }
-
-  /**
-   * Initializes this CoreLabel, pre-allocating arrays to hold
-   * up to capacity key,value pairs.  This array will grow if necessary.
-   *
-   * @param capacity Initial capacity of object in key,value pairs
-   */
-  public CoreLabel(int capacity) {
-    super(capacity);
-  }
-
-  /**
-   * Returns a new CoreLabel instance based on the contents of the given
-   * CoreLabel.  It copies the contents of the other CoreLabel.
-   * <i>Implementation note:</i> this is a the same as the constructor
-   * that takes a CoreMap, but is needed to ensure unique most specific
-   * type inference for selecting a constructor at compile-time.
-   *
-   * @param label The CoreLabel to copy
-   */
-  public CoreLabel(CoreLabel label) {
-    this((CoreMap) label);
-  }
-
-  /**
-   * Returns a new CoreLabel instance based on the contents of the given
-   * CoreMap.  It copies the contents of the other CoreMap.
-   *
-   * @param label The CoreMap to copy
-   */
-  @SuppressWarnings({"unchecked"})
-  public CoreLabel(CoreMap label) {
-    super(label.size());
-    Set<Class<?>> otherKeys = label.keySet();
-    for (Class key : otherKeys) {
-      set(key, label.get(key));
-    }
-  }
-
-  /**
-   * Returns a new CoreLabel instance based on the contents of the given
-   * label.   Warning: The behavior of this method is a bit disjunctive!
-   * If label is a CoreMap (including CoreLabel), then it's entire
-   * contents is copied into this label.  But, otherwise, just the
-   * value() is copied.
-   *
-   * @param label Basis for this label
-   */
-  public CoreLabel(Label label) {
-    super(1);
-    if (label instanceof CoreMap) {
-      CoreMap cl = (CoreMap) label;
-      Set<Class<?>> otherKeys = cl.keySet();
-      setCapacity(otherKeys.size());
-      for (Class key : otherKeys) {
-        set(key, cl.get(key));
-      }
-    } else {
-      setValue(label.value());
-    }
-  }
-
-  /**
-   * This constructor attempts to parse the String keys
-   * into Class keys.  It's mainly useful for reading from
-   * a file.  A best effort attempt is made to correctly
-   * parse the keys according to the String lookup function
-   * in {@link CoreAnnotations}.
-   *
-   * @param keys Array of Strings that are class names
-   * @param values Array of values (as String)
-   */
-  public CoreLabel(String[] keys, String[] values) {
-    super(keys.length);
-    //this.map = new ArrayCoreMap();
-    initFromStrings(keys, values);
-  }
-
-
-  /**
-   * Class that all "generic" annotations extend.
-   * This allows you to read in arbitrary values from a file as features, for example.
-   */
-  public static interface GenericAnnotation<T> extends CoreAnnotation<T> {  }
-  //Unchecked is below because eclipse can't handle the level of type inference if we correctly parameterize GenericAnnotation with String
-  @SuppressWarnings("unchecked")
-  public static HashMap<String, Class<? extends GenericAnnotation>> genericKeys = new HashMap<String, Class<? extends GenericAnnotation>>();
-  @SuppressWarnings("unchecked")
-  public static HashMap<Class<? extends GenericAnnotation>, String> genericValues = new HashMap<Class<? extends GenericAnnotation>, String>();
-
-
-  @SuppressWarnings("unchecked")
-  private void initFromStrings(String[] keys, String[] values) {
-    for (int i = 0; i < Math.min(keys.length, values.length); i++) {
-      String key = keys[i];
-      String value = values[i];
-      KeyLookup lookup = AnnotationLookup.getCoreKey(key);
-
-      //now work with the key we got above
-      if (lookup == null) {
-        if (key != null) {
-          throw new UnsupportedOperationException("Unknown key " + key);
-        }
-
-        // It used to be that the following code let you put unknown keys
-        // in the CoreLabel.  However, you can't create classes dynamically
-        // at run time, which meant only one of these classes could ever
-        // exist, which meant multiple unknown keys would clobber each
-        // other and be very annoying.  It's easier just to not allow
-        // it at all.
-        // If it becomes possible to create classes dynamically,
-        // we could add this code back.
-        //if(genericKeys.containsKey(key)) {
-        //  this.set(genericKeys.get(key), value);
-        //} else {
-        //  GenericAnnotation<String> newKey = new GenericAnnotation<String>() {
-        //    public Class<String> getType() { return String.class;} };
-        //  this.set(newKey.getClass(), values[i]);
-        //  genericKeys.put(keys[i], newKey.getClass());
-        //  genericValues.put(newKey.getClass(), keys[i]);
-        //}
-        // unknown key; ignore
-        //if (VERBOSE) {
-        //  System.err.println("CORE: CoreLabel.fromAbstractMapLabel: " +
-        //      "Unknown key "+key);
-        //}
-      } else {
-        try {
-          Class<?> valueClass = AnnotationLookup.getValueType(lookup.coreKey);
-          if(valueClass.equals(String.class)) {
-            this.set((Class<? extends CoreAnnotation>)lookup.coreKey, values[i]);
-          } else if(valueClass == Integer.class) {
-            this.set((Class<? extends CoreAnnotation>)lookup.coreKey, Integer.parseInt(values[i]));
-          } else if(valueClass == Double.class) {
-            this.set((Class<? extends CoreAnnotation>)lookup.coreKey, Double.parseDouble(values[i]));
-          } else if(valueClass == Long.class) {
-            this.set((Class<? extends CoreAnnotation>)lookup.coreKey, Long.parseLong(values[i]));
-          }
-        } catch(Exception e) {
-          e.printStackTrace();
-          // unexpected value type
-          System.err.println("CORE: CoreLabel.initFromStrings: "
-              + "Bad type for " + key
-              + ". Value was: " + value
-              + "; expected "+AnnotationLookup.getValueType(lookup.coreKey));
-        }
-      }
-    }
-  }
-
-
-  private static class CoreLabelFactory implements LabelFactory {
-
-    public Label newLabel(String labelStr) {
-      CoreLabel label = new CoreLabel();
-      label.setValue(labelStr);
-      return label;
-    }
-
-    public Label newLabel(String labelStr, int options) {
-      return newLabel(labelStr);
-    }
-
-    public Label newLabel(Label oldLabel) {
-      if (oldLabel instanceof CoreLabel) {
-        return new CoreLabel((CoreLabel)oldLabel);
-
-      } else {
-        //wsg Map the old interfaces to the correct key/value pairs
-        //Don't need to worry about HasIndex, which doesn't appear in any legacy code
-        CoreLabel label = new CoreLabel();
-        if((oldLabel instanceof HasWord))
-          label.setWord(((HasWord) oldLabel).word());
-        if((oldLabel instanceof HasTag))
-          label.setTag(((HasTag) oldLabel).tag());
-        if((oldLabel instanceof HasCategory))
-          label.setCategory(((HasCategory) oldLabel).category());
-        if((oldLabel instanceof HasOffset)) {
-          label.setBeginPosition(((HasOffset) oldLabel).beginPosition());
-          label.setEndPosition(((HasOffset) oldLabel).endPosition());
-        }
-        if((oldLabel instanceof HasCategory))
-          label.setCategory(((HasCategory) oldLabel).category());
-
-        label.setValue(oldLabel.value());
-
-        return label;
-      }
-    }
-
-    public Label newLabelFromString(String encodedLabelStr) {
-      throw new UnsupportedOperationException("This code branch left blank" +
-      " because we do not understand what this method should do.");
-    }
-
-  }
-
-
-  /**
-   * Return a factory for this kind of label
-   *
-   * @return The label factory
-   */
-  public static LabelFactory factory() {
-    return new CoreLabelFactory();
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public LabelFactory labelFactory() {
-    return CoreLabel.factory();
-  }
-
-  /**
-   * Return a non-null String value for a key.
-   * This method is included for backwards compatibility with AbstractMapLabel.
-   * It is guaranteed to not return null; if the key is not present or
-   * has a null value, it returns the empty string ("").  It is only valid to
-   * call this method when key is paired with a value of type String.
-   *
-   * @param <KEY> A key type with a String value
-   * @param key The key to return the value of.
-   * @return "" if the key is not in the map or has the value <code>null</code>
-   *     and the String value of the key otherwise
-   */
-  public <KEY extends Key<CoreMap, String>> String getString(Class<KEY> key) {
-    String value = get(key);
-    if (value == null) {
-      return "";
-    }
-    return value;
-  }
-
-
-  /**
-   * {@inheritDoc}
-   */
-//  public int size() {
-//    return map.size();
-//  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public void setFromString(String labelStr) {
-    throw new UnsupportedOperationException("Cannot set from string");
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public final void setValue(String value) {
-    set(ValueAnnotation.class, value);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public final String value() {
-    return get(ValueAnnotation.class);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public void setWord(String word) {
-    set(TextAnnotation.class, word);
-    // pado feb 09: if you change the word, delete the lemma.
-    remove(LemmaAnnotation.class);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public String word() {
-    return get(TextAnnotation.class);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public void setTag(String tag) {
-    set(PartOfSpeechAnnotation.class, tag);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public String tag() {
-    return get(PartOfSpeechAnnotation.class);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public void setCategory(String category) {
-    set(CategoryAnnotation.class, category);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public String category() {
-    return get(CategoryAnnotation.class);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public void setAfter(String after) {
-    set(AfterAnnotation.class, after);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public String after() {
-    return getString(AfterAnnotation.class);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public void setBefore(String before) {
-    set(BeforeAnnotation.class, before);
-  }
-
-
-  /**
-   * {@inheritDoc}
-   */
-  public String before() {
-    return getString(BeforeAnnotation.class);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public void setOriginalText(String originalText) {
-    set(CoreAnnotations.OriginalTextAnnotation.class, originalText);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public String originalText() {
-    return getString(OriginalTextAnnotation.class);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public String docID() {
-    return get(DocIDAnnotation.class);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public void setDocID(String docID) {
-    set(DocIDAnnotation.class, docID);
-  }
-
-  /**
-   * Return the named entity class of the label (or null if none).
-   *
-   * @return String the word value for the label
-   */
-  public String ner() {
-    return get(NamedEntityTagAnnotation.class);
-  }
-
-  public void setNER(String ner) {
-    set(NamedEntityTagAnnotation.class, ner);
-  }
-
-  /**
-   * Return the lemma of the label (or null if none).
-   *
-   * @return String the word value for the label
-   */
-  public String lemma() {
-    return get(LemmaAnnotation.class);
-  }
-
-  public void setLemma(String lemma) {
-    set(LemmaAnnotation.class, lemma);
-  }
-
-
-  /**
-   * {@inheritDoc}
-   */
-  public int index() {
-    Integer n = get(IndexAnnotation.class);
-    if(n == null)
-      return -1;
-    return n;
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public void setIndex(int index) {
-    set(IndexAnnotation.class, index);
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public int sentIndex() {
-    Integer n = get(SentenceIndexAnnotation.class);
-    if(n == null)
-      return -1;
-    return n;
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public void setSentIndex(int sentIndex) {
-    set(SentenceIndexAnnotation.class, sentIndex);
-  }
-
-  public int beginPosition() {
-    Integer i = get(CoreAnnotations.CharacterOffsetBeginAnnotation.class);
-    if(i != null) return i;
-    return -1;
-  }
-
-  public int endPosition() {
-    Integer i = get(CoreAnnotations.CharacterOffsetEndAnnotation.class);
-    if(i != null) return i;
-    return -1;
-  }
-
-  public void setBeginPosition(int beginPos) {
-    set(CoreAnnotations.CharacterOffsetBeginAnnotation.class, beginPos);
-  }
-
-  public void setEndPosition(int endPos) {
-    set(CoreAnnotations.CharacterOffsetEndAnnotation.class, endPos);
-  }
-
-  /**
-   * Tag separator to use by default
-   */
-  public static final String TAG_SEPARATOR = "/";
-
-  /** {@inheritDoc} */
-//  public <VALUE, KEY extends edu.stanford.nlp.util.TypesafeMap.Key<CoreMap, VALUE>>
-//  VALUE get(Class<KEY> key) {
-//    return map.get(key);
-//  }
-
-  /** {@inheritDoc} */
-//  public <VALUE, KEY extends edu.stanford.nlp.util.TypesafeMap.Key<CoreMap, VALUE>>
-//  boolean has(Class<KEY> key) {
-//    return map.has(key);
-//  }
-
-  /** {@inheritDoc} */
-//  public Set<Class<?>> keySet() {
-//    return map.keySet();
-//  }
-
-  /** {@inheritDoc} */
-//  public <VALUE, KEY extends edu.stanford.nlp.util.TypesafeMap.Key<CoreMap, VALUE>>
-//  VALUE remove(Class<KEY> key) {
-//    return map.remove(key);
-//  }
-
-  /** {@inheritDoc} */
-//  public <VALUEBASE, VALUE extends VALUEBASE, KEY extends edu.stanford.nlp.util.TypesafeMap.Key<CoreMap, VALUEBASE>>
-//  VALUE set(Class<KEY> key, VALUE value) {
-//    return map.set(key, value);
-//  }
-
-  /** {@inheritDoc} */
-//  public <VALUE, KEY extends Key<CoreMap, VALUE>>
-//  boolean containsKey(Class<KEY> key) {
-//    return map.containsKey(key);
-//  }
-
- // @Override
-//  public String toString() {
-//    return value();
-//    return map.toString();
-//  }
-
- // @Override
-//  public boolean equals(Object other) {
-//    if (other instanceof CyclicCoreLabel) {
-//      // CyclicCoreLabel overrides our equality, use its
-//      return other.equals(this);
-//    } else if (other instanceof CoreLabel) {
-//      // If its a CoreLabel, compare our map with its
-//      return map.equals(((CoreLabel)other).map);
-//    } else if (other instanceof CoreMap) {
-//      // If its any other type of CoreMap, compare our map with it directly
-//      return map.equals(other);
-//    } else {
-//      return false;
-//    }
-//  }
-
- // @Override
-//  public int hashCode() {
-//    return map.hashCode();
-//  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CyclicCoreLabel.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CyclicCoreLabel.java
deleted file mode 100644
index 13c58a9..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/CyclicCoreLabel.java
+++ /dev/null
@@ -1,234 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.util.Comparator;
-import java.util.Map;
-import java.util.TreeMap;
-
-import edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation;
-import edu.stanford.nlp.util.CoreMap;
-
-/**
- * Version of CoreLabel that allows for cycles in values/keys.
- *
- * Equals is defined as object equality, hashCode is defined on
- * object address, and toString will not print cycles.
- *
- * TODO: This class may be removable if it is the case that
- * TreeGraphNode (it's main user) doesn't actually need the
- * cyclic semantics (because we fixed a bug in its lack of
- * hashCode).
- * TODO: However, something now used in various places is that it has a tidy minimal toString output of value-index, which is not preserved in CoreLabel.  Maybe it should be but changing that might also break stuff now.
- *
- * @author rafferty
- *
- */
-public class CyclicCoreLabel extends CoreLabel {
-
-  private static final long serialVersionUID = 1L;
-
-  /**
-   * Based on MapLabel printing structure
-   */
-  private static String printOptions = "value-index";
-
-  /** Default constructor, calls super() */
-  public CyclicCoreLabel() {
-    super();
-  }
-
-  /** Copy constructor from any CoreMap. */
-  public CyclicCoreLabel(Label label) {
-    super(label);
-  }
-
-  /** Copy constructor from any CoreMap. */
-  public CyclicCoreLabel(CoreMap label) {
-    super(label);
-  }
-
-  /** Copy constructor from any CoreMap. */
-  public CyclicCoreLabel(CoreLabel label) {
-    super(label);
-  }
-
-  /** Copy constructor from any CoreMap. */
-  public CyclicCoreLabel(CyclicCoreLabel label) {
-    this((CoreMap) label);
-  }
-
-  /**
-   * Two CoreMaps are equal iff all keys and values are equal (really, ==).
-   * This equals method that is well defined even if there
-   * are cycles in keys/values.  Checks for object address
-   * equality for key-value pairs.
-   */
-  @SuppressWarnings({"unchecked"})
-  @Override
-  public boolean equals(Object obj) {
-    if (!(obj instanceof CoreLabel)) {
-      return false;
-    }
-
-    CoreLabel other = (CoreLabel) obj;
-
-    if (!this.keySet().equals(other.keySet())) {
-      return false;
-    }
-
-    for (Class key : this.keySet()) {
-      if (this.get(key) != other.get(key)) {
-        return false;
-      }
-    }
-
-    return true;
-  }
-
-  /**
-   * Returns a composite hashcode over all the keys and values currently
-   * stored in the map.  Because they may change over time, this class
-   * is not appropriate for use as map keys.
-   *
-   * This hashcode function works on object address
-   * equality.  Compatible with cyclicEquals.
-
-   */
-  @Override
-  @SuppressWarnings({"unchecked"})
-  public int hashCode() {
-    int keyscode = 0;
-    int valuescode = 0;
-    for (Class key : keySet()) {
-      keyscode += key.hashCode();
-      valuescode += (get(key) != null ? System.identityHashCode(get(key)) : 0);
-    }
-    return keyscode * 37 + valuescode;
-  }
-
-  private static final Comparator<Class<?>> asClassComparator = new Comparator<Class<?>>() {
-    public int compare(Class<?> o1, Class<?> o2) {
-      return o1.getName().compareTo(o2.getName());
-    }
-  };
-  /**
-   * Return a <code>String</code> containing the value (and index,
-   * if any) of this label.  This is equivalent to
-   * toString("value-index").
-   */
-  @Override
-  public String toString() {
-    return toString(printOptions);
-  }
-
-  /**
-   * Returns a formatted string representing this label.  The
-   * desired format is passed in as a <code>String</code>.
-   * Currently supported formats include:
-   * <ul>
-   * <li>"value": just prints the value</li>
-   * <li>"{map}": prints the complete map</li>
-   * <li>"value{map}": prints the value followed by the contained
-   * map (less the map entry containing key <code>CATEGORY_KEY</code>)</li>
-   * <li>"value-index": extracts a value and an integer index from
-   * the contained map using keys  <code>INDEX_KEY</code>,
-   * respectively, and prints them with a hyphen in between</li>
-   * <li>"value-index{map}": a combination of the above; the index is
-   * displayed first and then not shown in the map that is displayed</li>
-   * <li>"word": Just the value of HEAD_WORD_KEY in the map</li>
-   * </ul>
-   * <p/>
-   * Map is printed in alphabetical order of keys.
-   */
-  @SuppressWarnings("unchecked")
-  public String toString(String format) {
-    StringBuilder buf = new StringBuilder();
-    if (format.equals("value")) {
-      buf.append(value());
-    } else if (format.equals("{map}")) {
-      Map map2 = new TreeMap(asClassComparator);
-      for(Class<?> key : this.keySet()) {
-        map2.put(key, get((Class<? extends CoreAnnotation>) key));
-      }
-      buf.append(map2);
-    } else if (format.equals("value{map}")) {
-      buf.append(value());
-      Map map2 = new TreeMap(asClassComparator);
-      for(Class<?> key : this.keySet()) {
-        map2.put(key, get((Class<? extends CoreAnnotation>) key));
-      }
-      map2.remove(ValueAnnotation.class);
-      buf.append(map2);
-    } else if (format.equals("value-index")) {
-      buf.append(value());
-      Integer index = this.get(IndexAnnotation.class);
-      if (index != null) {
-        buf.append("-").append((index).intValue());
-      }
-    } else if (format.equals("value-index{map}")) {
-      buf.append(value());
-      Integer index = this.get(IndexAnnotation.class);
-      if (index != null) {
-        buf.append("-").append((index).intValue());
-      }
-      Map<String,Object> map2 = new TreeMap<String,Object>();
-      for(Class<?> key : this.keySet()) {
-        String cls = key.getName();
-        // special shortening of all the Annotation classes
-        int idx = cls.indexOf('$');
-        if (idx >= 0) {
-          cls = cls.substring(idx + 1);
-        }
-        map2.put(cls, this.get((Class<? extends CoreAnnotation>) key));
-      }
-      map2.remove("IndexAnnotation");
-      map2.remove("ValueAnnotation");
-      if (!map2.isEmpty()) {
-        buf.append(map2);
-      }
-    } else if (format.equals("word")) {
-      buf.append(word());
-    } else if (format.equals("text-index")) {
-      buf.append(this.get(TextAnnotation.class));
-      Integer index = this.get(IndexAnnotation.class);
-      if (index != null) {
-        buf.append("-").append((index).intValue());
-      }
-    }
-    return buf.toString();
-  }
-
-  public static LabelFactory factory() {
-    return new LabelFactory() {
-
-      public Label newLabel(String labelStr) {
-        CyclicCoreLabel label = new CyclicCoreLabel();
-        label.setValue(labelStr);
-        return label;
-      }
-
-      public Label newLabel(String labelStr, int options) {
-        return newLabel(labelStr);
-      }
-
-      public Label newLabel(Label oldLabel) {
-        return new CyclicCoreLabel(oldLabel);
-      }
-
-      public Label newLabelFromString(String encodedLabelStr) {
-        throw new UnsupportedOperationException("This code branch left blank" +
-        " because we do not understand what this method should do.");
-      }
-    };
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  @Override
-  public LabelFactory labelFactory() {
-    return CyclicCoreLabel.factory();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Datum.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Datum.java
deleted file mode 100644
index 8fa8300..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Datum.java
+++ /dev/null
@@ -1,23 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.io.Serializable;
-
-
-/**
- * Interface for Objects which can be described by their features.
- * An Object is described by a Datum as a List of categorical features.
- * (For features which have numeric values, see {@link RVFDatum}.
- * These objects can also be Serialized (for insertion into a file database).
- *
- * @author Sepandar Kamvar (sdkamvar@stanford.edu)
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (Templatization)
- *
- * @param <L> The type of the labels in the Datum
- * @param <F> The type of the features in the Datum
- */
-public abstract interface Datum<L, F> extends Serializable, Featurizable<F>, Labeled<L> {
-}
-
-
-
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Document.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Document.java
deleted file mode 100644
index 1e42c48..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Document.java
+++ /dev/null
@@ -1,38 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.util.List;
-
-/**
- * Represents a text document as a list of Words with a String title.
- *
- * @author Sepandar Kamvar (sdkamvar@stanford.edu)
- * @author Joseph Smarr (jsmarr@stanford.edu)
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (Templatization - added another parameter)
- *
- * @param <L> The type of the labels in the Datum
- * @param <F> The type of the features in the Datum,
- *	and the type stored in the List
- */
-public interface Document<L, F, T> extends Datum<L, F>, List<T> {
-
-  /**
-   * Returns title of document, or "" if the document has no title.
-   * Implementations should never return <tt>null</tt>.
-   *
-   * @return The document's title
-   */
-  public abstract String title();
-
-  /**
-   * Returns a new empty Document with the same meta-data (title, labels, etc)
-   * as this Document. Subclasses that store extra state should provide custom
-   * implementations of this method. This method is primarily used by the
-   * processing API, so the input document can be preserved and the output
-   * document can maintain the meta-data of the in document.
-   *
-   * @return An empty document of the right sort.
-   */
-  public <OUT> Document<L, F, OUT> blankDocument();
-
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Featurizable.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Featurizable.java
deleted file mode 100644
index 40ef140..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Featurizable.java
+++ /dev/null
@@ -1,20 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.util.Collection;
-
-/**
- * Interface for Objects that can be described by their features.
- *
- * @author Sepandar Kamvar (sdkamvar@stanford.edu)
- * 
- * Type-safety added by Sarah Spikes (sdspikes@cs.stanford.edu)
- */
-
-public interface Featurizable<F> {
-
-  /**
-   * returns Object as a Collection of its features
-   */
-  public Collection<F> asFeatures();
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasCategory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasCategory.java
deleted file mode 100644
index edb5635..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasCategory.java
+++ /dev/null
@@ -1,26 +0,0 @@
-package edu.stanford.nlp.ling;
-
-/**
- * Something that implements the <code>HasCategory</code> interface
- * knows about categories.
- *
- * @author Christopher Manning
- */
-public interface HasCategory {
-
-  /**
-   * Return the category value of the label (or null if none).
-   *
-   * @return String the category value for the label
-   */
-  public String category();
-
-
-  /**
-   * Set the category value for the label (if one is stored).
-   *
-   * @param category The category value for the label
-   */
-  public void setCategory(String category);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasContext.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasContext.java
deleted file mode 100644
index f4e33f4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasContext.java
+++ /dev/null
@@ -1,47 +0,0 @@
-package edu.stanford.nlp.ling;
-
-/**
- * @author grenager
- */
-public interface HasContext {
-
-  /**
-   * @return the String before the word
-   */
-  public String before();
-
-  /**
-   * Set the whitespace String before the word.
-   * @param before the whitespace String before the word
-   */
-  public void setBefore(String before);
-
-  /**
-   * Return the String which is the original character sequence of the token.
-   *
-   * @return The original character sequence of the token
-   */
-  public String originalText();
-
-  /**
-   * Set the String which is the original character sequence of the token.
-   *
-   * @param originalText The original character sequence of the token
-   */
-  public void setOriginalText(String originalText);
-
-  /**
-   * Return the whitespace String after the word.
-   *
-   * @return The whitespace String after the word
-   */
-  public String after();
-
-  /**
-   * Set the whitespace String after the word.
-   *
-   * @param after The whitespace String after the word
-   */
-  public void setAfter(String after);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasIndex.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasIndex.java
deleted file mode 100644
index c236f62..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasIndex.java
+++ /dev/null
@@ -1,13 +0,0 @@
-package edu.stanford.nlp.ling;
-
-/**
- * @author grenager
- */
-public interface HasIndex {
-  String docID();
-  void setDocID(String docID);
-  int sentIndex();
-  void setSentIndex(int sentIndex);
-  int index();
-  void setIndex(int index);
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasOffset.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasOffset.java
deleted file mode 100644
index 24d4ca8..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasOffset.java
+++ /dev/null
@@ -1,44 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.io.Serializable;
-
-/**
- * Something that implements the <code>HasOffset</code> interface
- * bears a offset reference to the original text
- *
- * @author Richard Eckart (Technische Universitat Darmstadt)
- */
-public interface HasOffset extends Serializable {
-
-  /**
-   * Return the beginning character offset of the label (or -1 if none).
-   *
-   * @return the beginning position for the label
-   */
-  public int beginPosition();
-
-
-  /**
-   * Set the beginning character offset for the label.
-   * Setting this key to "-1" can be used to
-   * indicate no valid value.
-   *
-   * @param beginPos The beginning position
-   */
-  public void setBeginPosition(int beginPos);
-
-  /**
-   * Return the ending character offset of the label (or -1 if none).
-   *
-   * @return the end position for the label
-   */
-  public int endPosition();
-
-  /**
-   * Set the ending character offset of the label (or -1 if none).
-   *
-   * @param endPos The end character offset for the label
-   */
-  public void setEndPosition(int endPos);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasTag.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasTag.java
deleted file mode 100644
index 83c32e8..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasTag.java
+++ /dev/null
@@ -1,26 +0,0 @@
-package edu.stanford.nlp.ling;
-
-/**
- * Something that implements the <code>HasTag</code> interface
- * knows about part-of-speech tags.
- *
- * @author Christopher Manning
- */
-public interface HasTag {
-
-  /**
-   * Return the tag value of the label (or null if none).
-   *
-   * @return String the tag value for the label
-   */
-  public String tag();
-
-
-  /**
-   * Set the tag value for the label (if one is stored).
-   *
-   * @param tag The tag value for the label
-   */
-  public void setTag(String tag);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasWord.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasWord.java
deleted file mode 100644
index 2fbcc7a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/HasWord.java
+++ /dev/null
@@ -1,28 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.io.Serializable;
-
-/**
- * Something that implements the <code>HasWord</code> interface
- * knows about words.
- *
- * @author Christopher Manning
- */
-public interface HasWord extends Serializable {
-
-  /**
-   * Return the word value of the label (or null if none).
-   *
-   * @return String the word value for the label
-   */
-  public String word();
-
-
-  /**
-   * Set the word value for the label (if one is stored).
-   *
-   * @param word The word value for the label
-   */
-  public void setWord(String word);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Label.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Label.java
deleted file mode 100644
index 4b42a0d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Label.java
+++ /dev/null
@@ -1,77 +0,0 @@
-package edu.stanford.nlp.ling;
-
-/**
- * Something that implements the <code>Label</code> interface can act as a
- * constituent, node, or word label with linguistic attributes.
- * A <code>Label</code> is required to have a "primary" <code>String</code>
- * <code>value()</code> (although this may be null).  This is referred to as
- * its <code>value</code>.
- * <p>
- * Implementations of Label split into two groups with
- * respect to equality. Classes that extend ValueLabel define equality
- * solely in terms of String equality of its value (secondary facets may be
- * present but are ignored for purposes of equality), and have equals and
- * compareTo defined across all subclasses of ValueLabel. This behavior
- * should not be changed. Other classes that implement Label define equality only
- * with their own type and require all fields of the type to be equal.
- * <p>
- * A subclass that extends another Label class <i>should</i> override
- * the definition of <code>labelFactory()</code>, since the contract for
- * this method is that it should return a factory for labels of the
- * exact same object type.
-
- * @author Christopher Manning
- */
-public interface Label {
-
-  /**
-   * Return a String representation of just the "main" value of this label.
-   *
-   * @return the "value" of the label
-   */
-  public String value();
-
-
-  /**
-   * Set the value for the label (if one is stored).
-   *
-   * @param value - the value for the label
-   */
-  public void setValue(String value);
-
-
-  /**
-   * Return a String representation of the label.  For a multipart label,
-   * this will return all parts.  The <code>toString()</code> method
-   * causes a label to spill its guts.  It should always return an
-   * empty string rather than <code>null</code> if there is no value.
-   *
-   * @return a text representation of the full label contents
-   */
-  public String toString();
-
-
-  /**
-   * Set the contents of this label to this <code>String</code>
-   * representing the
-   * complete contents of the label.  A class implementing label may
-   * throw an <code>UnsupportedOperationException</code> for this
-   * method (only).  Typically, this method would do
-   * some appropriate decoding of the string in a way that sets
-   * multiple fields in an inverse of the <code>toString()</code>
-   * method.
-   *
-   * @param labelStr the String that translates into the content of the
-   *                 label
-   */
-  public void setFromString(String labelStr);
-
-  /**
-   * Returns a factory that makes labels of the exact same type as this one.
-   * May return <code>null</code> if no appropriate factory is known.
-   *
-   * @return the LabelFactory for this kind of label
-   */
-  public LabelFactory labelFactory();
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/LabelFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/LabelFactory.java
deleted file mode 100644
index 2508230..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/LabelFactory.java
+++ /dev/null
@@ -1,66 +0,0 @@
-package edu.stanford.nlp.ling;
-
-
-/**
- * A <code>LabelFactory</code> object acts as a factory for creating
- * objects of class <code>Label</code>, or some descendant class.
- * It can also make Labels from Strings, optionally with options.
- *
- * @author Christopher Manning
- * @version 2000/12/25
- */
-public interface LabelFactory {
-
-  /**
-   * Make a new label with this <code>String</code> as the
-   * <code>value</code>.
-   * Any other fields of the label would normally be <code>null</code>.
-   *
-   * @param labelStr The String that will be used for value
-   * @return The new Label
-   */
-  public Label newLabel(String labelStr);
-
-
-  /**
-   * Make a new label with this <code>String</code> as the value, and
-   * the type determined in an implementation-dependent way from the
-   * options value.
-   *
-   * @param labelStr The String that will be used for value
-   * @param options  May determine what kind of label is created
-   * @return The new Label
-   */
-  public Label newLabel(String labelStr, int options);
-
-
-  /**
-   * Make a new label.  The String argument will be decomposed into
-   * multiple fields in an implementing class-specific way, in
-   * accordance with the class's setFromString() method.
-   *
-   * @param encodedLabelStr The String that will be used for labelling the
-   *                        object (by decoding it into parts)
-   * @return The new Label
-   */
-  public Label newLabelFromString(String encodedLabelStr);
-
-
-  /**
-   * Create a new <code>Label</code>, where the label is formed from
-   * the <code>Label</code> object passed in.  The new Label is
-   * guaranteed to at least copy the <code>value()</code> of the
-   * source label (if non-null); it may also copy other components
-   * (this is implementation-specific).  However, if oldLabel is of
-   * the same type as is produced by the factory, then the whole
-   * label should be cloned, so that the returnedLabel.equals(oldLabel).
-   * <i>Implementation note:</i> That last sentence isn't true of all
-   * current implementations (e.g., WordTag), but we should make it
-   * so that it is true!
-   *
-   * @param oldLabel The Label that the new label is being created from
-   * @return The new label of a particular type
-   */
-  public Label newLabel(Label oldLabel);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Labeled.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Labeled.java
deleted file mode 100644
index 3d76925..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Labeled.java
+++ /dev/null
@@ -1,30 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.util.Collection;
-
-/**
- * Interface for Objects that have a label, whose label is an Object.
- * There are only two methods: Object label() and Collection labels().
- * If there is only one label, labels() will return a collection of one label.
- * If there are multiple labels, label() will return the primary label,
- * or a consistent arbitrary label if there is not primary label.
- *
- * @author Sepandar Kamvar (sdkamvar@stanford.edu)
- * 
- * Updated to take a specific type rather than just a blanket Object.  I'm hoping 
- * that it's true that the Collection will be of the same type as the primary label...
- * @author Sarah Spikes (sdspikes@cs.stanford.edu)
- */
-public interface Labeled<E> {
-
-  /**
-   * Returns the primary label for this Object, or null if none have been set.
-   */
-  public E label();
-
-  /**
-   * Returns the complete list of labels for this Object, which may be empty.
-   */
-  public Collection<E> labels();
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/LabeledWord.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/LabeledWord.java
deleted file mode 100644
index ddb4c09..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/LabeledWord.java
+++ /dev/null
@@ -1,97 +0,0 @@
-package edu.stanford.nlp.ling;
-
-/**
- * A <code>LabeledWord</code> object contains a word and its tag.
- * The <code>value()</code> of a TaggedWord is the Word.  The tag
- * is, and is a Label instead of a String
- */
-public class LabeledWord extends Word {
-
-  private Label tag;
-  
-  private static final String DIVIDER = "/";
-
-  /**
-   * Create a new <code>TaggedWord</code>.
-   * It will have <code>null</code> for its content fields.
-   */
-  public LabeledWord() {
-    super();
-  }
-
-  /**
-   * Create a new <code>TaggedWord</code>.
-   *
-   * @param word The word, which will have a <code>null</code> tag
-   */
-  public LabeledWord(String word) {
-    super(word);
-  }
-
-  /**
-   * Create a new <code>TaggedWord</code>.
-   *
-   * @param word The word
-   * @param tag  The tag
-   */
-  public LabeledWord(String word, Label tag) {
-    super(word);
-    this.tag = tag;
-  }
-
-  public LabeledWord(Label word, Label tag) {
-    super(word);
-    this.tag = tag;
-  }
-
-  public Label tag() {
-    return tag;
-  }
-
-  public void setTag(Label tag) {
-    this.tag = tag;
-  }
-
-  @Override
-  public String toString() {
-    return toString(DIVIDER);
-  }
-
-  public String toString(String divider) {
-    return word() + divider + tag;
-  }
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class LabelFactoryHolder {
-
-    private LabelFactoryHolder() {}
-
-    private static final LabelFactory lf = new TaggedWordFactory();
-
-  }
-
-  /**
-   * Return a factory for this kind of label
-   * (i.e., <code>TaggedWord</code>).
-   * The factory returned is always the same one (a singleton).
-   *
-   * @return The label factory
-   */
-  @Override
-  public LabelFactory labelFactory() {
-    return LabelFactoryHolder.lf;
-  }
-
-
-  /**
-   * Return a factory for this kind of label.
-   *
-   * @return The label factory
-   */
-  public static LabelFactory factory() {
-    return LabelFactoryHolder.lf;
-  }
-
-  private static final long serialVersionUID = -7252006452127051085L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/RVFDatum.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/RVFDatum.java
deleted file mode 100644
index e8a5b4e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/RVFDatum.java
+++ /dev/null
@@ -1,139 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.stats.Counter;
-
-import java.util.Collection;
-import java.util.Collections;
-
-/**
- * A basic implementation of the Datum interface that can be constructed with
- * a Collection of features and one more more labels. The features must be
- * specified at construction, but the labels can be set and/or changed later.
- *
- * @author Jenny Finkel <a href="mailto:jrfinkel@stanford.edu">jrfinkel@stanford.edu</a>
- * @author Sarah Spikes (sdspikes@stanford.edu) [templatized]
- *
- * @param <L> The type of the label of the datum
- * @param <F> The type of individual features stored in the datum
- */
-public class RVFDatum<L, F> implements Datum<L, F> {
-
-  private static final long serialVersionUID = -255312811814660438L;
-
-  /**
-   * features for this Datum
-   */
-  private final Counter<F> features;
-
-  /**
-   * labels for this Datum. Invariant: always non-null
-   */
-  private L label; // = null;
-
-  /**
-   * Constructs a new RVFDatum with the given features and label.
-   */
-  public RVFDatum(Counter<F> features, L label) {
-    this.features = features;
-    setLabel(label);
-  }
-
-  /**
-   * Constructs a new RVFDatum taking the data from a Datum.
-   * <i>Implementation note:</i> This constructor allocates its own
-   * counter over features, but is only guaranteed correct if the label and
-   * feature names are immutable.
-   *
-   * @param m The Datum to copy.
-   */
-  public RVFDatum(Datum<L, F> m) {
-    this.features = new ClassicCounter<F>();
-    for (F key : m.asFeatures()) {
-      features.incrementCount(key, 1.0);
-    }
-    setLabel(m.label());
-  }
-
-  /**
-   * Constructs a new RVFDatum with the given features and no labels.
-   */
-  public RVFDatum(Counter<F> features) {
-    this.features = features;
-  }
-
-  /**
-   * Constructs a new RVFDatum with no features or labels.
-   */
-  public RVFDatum() {
-    this((ClassicCounter<F>) null);
-  }
-
-  /**
-   * Returns the Counter of features and values
-   */
-  public Counter<F> asFeaturesCounter() {
-    return features;
-  }
-
-  /**
-   * Returns the list of features without values
-   */
-  public Collection<F> asFeatures() {
-    return features.keySet();
-  }
-
-
-  /**
-   * Removes all currently assigned Labels for this Datum then adds the
-   * given Label.
-   * Calling <tt>setLabel(null)</tt> effectively clears all labels.
-   */
-  public void setLabel(L label) {
-    this.label = label;
-  }
-
-  /**
-   * Returns a String representation of this BasicDatum (lists features and labels).
-   */
-  @Override
-  public String toString() {
-    return "RVFDatum[features=" + asFeatures() + ",label=" + label() + "]";
-  }
-
-  public L label() {
-    return label;
-  }
-
-  public Collection<L> labels() {
-    return Collections.singletonList(label);
-  }
-
-  /**
-   * Returns whether the given RVFDatum contains the same features
-   * with the same values as this RVFDatum.  An RVFDatum can only be equal
-   * to another RVFDatum.
-   * <i>Implementation note:</i>
-   * Doesn't check the labels, should we change this?
-   */
-  @Override
-  @SuppressWarnings("unchecked")
-  public boolean equals(Object o) {
-    if (this == o) {
-      return true;
-    }
-    if (!(o instanceof RVFDatum)) {
-      return (false);
-    }
-    RVFDatum<L, F> d = (RVFDatum<L, F>) o;
-    return features.equals(d.asFeaturesCounter());
-  }
-
-  /** {@inheritDoc} */
-  @Override
-  public int hashCode() {
-    return features.hashCode();
-  }
-
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Sentence.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Sentence.java
deleted file mode 100644
index a2d66fb..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Sentence.java
+++ /dev/null
@@ -1,223 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.util.ArrayList;
-import java.util.Iterator;
-import java.util.List;
-
-/**
- * Sentence holds a couple utility methods for lists.
- * Those include a method that nicely prints a list and methods that
- * construct lists of words from lists of strings.
- *
- * @author Dan Klein
- * @author Christopher Manning (generified)
- * @author John Bauer
- * @version 2010
- */
-//public class Sentence<T extends HasWord> extends ArrayList<T> {
-public class Sentence {
-
-  private Sentence() {}
-
-  /**
-   * Create an ArrayList as a list of <code>TaggedWord</code> from two
-   * lists of <code>String</code>, one for the words, and the second for
-   * the tags.
-   *
-   * @param lex  a list whose items are of type <code>String</code> and
-   *             are the words
-   * @param tags a list whose items are of type <code>String</code> and
-   *             are the tags
-   * @return The Sentence
-   */
-  public static ArrayList<TaggedWord> toTaggedList(List<String> lex, List<String> tags) {
-    ArrayList<TaggedWord> sent = new ArrayList<TaggedWord>();
-    int ls = lex.size();
-    int ts = tags.size();
-    if (ls != ts) {
-      throw new IllegalArgumentException("Sentence.toSentence: lengths differ");
-    }
-    for (int i = 0; i < ls; i++) {
-      sent.add(new TaggedWord(lex.get(i), tags.get(i)));
-    }
-    return sent;
-  }
-
-  /**
-   * Create an ArrayList as a list of <code>Word</code> from a
-   * list of <code>String</code>.
-   *
-   * @param lex  a list whose items are of type <code>String</code> and
-   *             are the words
-   * @return The Sentence
-   */
-  //TODO wsg2010: This should be deprecated in favor of the method below with new labels
-  public static ArrayList<Word> toUntaggedList(List<String> lex) {
-    ArrayList<Word> sent = new ArrayList<Word>();
-    int ls = lex.size();
-    for (int i = 0; i < ls; i++) {
-      sent.add(new Word(lex.get(i)));
-    }
-    return sent;
-  }
-
-  public static List<HasWord> toWordList(List<String> lex) {
-    List<HasWord> sent = new ArrayList<HasWord>();
-    for(String str : lex) {
-      CoreLabel cl = new CoreLabel();
-      cl.setValue(str);
-      cl.setWord(str);
-      sent.add(cl);
-    }
-    return sent;
-  }
-
-  /**
-   * Create a Sentence as a list of <code>Word</code> objects from
-   * an array of String objects.
-   *
-   * @param words  The words to make it from
-   * @return The Sentence
-   */
-  //TODO wsg2010: This should be deprecated in favor of the method below with new labels
-  public static ArrayList<Word> toUntaggedList(String... words) {
-    ArrayList<Word> sent = new ArrayList<Word>();
-    for (String str : words) {
-      sent.add(new Word(str));
-    }
-    return sent;
-  }
-  
-  public static List<HasWord> toWordList(String... words) {
-    List<HasWord> sent = new ArrayList<HasWord>();
-    for(int i = 0; i < words.length; i++) {
-      CoreLabel cl = new CoreLabel();
-      cl.setValue(words[i]);
-      cl.setWord(words[i]);
-      sent.add(cl);
-    }
-    return sent;
-  }
-
-  /**
-   * Returns the sentence as a string with a space between words.
-   * It strictly prints out the <code>value()</code> of each item -
-   * this will give the expected answer for a shortform representation
-   * of the "sentence" over a range of cases.  It is equivalent to
-   * calling <code>toString(true)</code>
-   *
-   * TODO: Sentence used to be a subclass of ArrayList, with this
-   * method as the toString.  Therefore, there may be instances of
-   * ArrayList being printed that expect this method to be used.
-  *
-   * @return The sentence
-   */
-  public static <T> String listToString(List<T> list) {
-    return listToString(list, true);
-  }
-
-
-  /**
-   * Returns the sentence as a string with a space between words.
-   * Designed to work robustly, even if the elements stored in the
-   * 'Sentence' are not of type Label.
-   *
-   * This one uses the default separators for any word type that uses
-   * separators, such as TaggedWord.
-   *
-   * @param justValue If <code>true</code> and the elements are of type
-   *                  <code>Label</code>, return just the
-   *                  <code>value()</code> of the <code>Label</code> of each word;
-   *                  otherwise,
-   *                  call the <code>toString()</code> method on each item.
-   * @return The sentence in String form
-   */
-  public static <T> String listToString(List<T> list, final boolean justValue) {
-    return listToString(list, justValue, null);
-  }
-
-  /**
-   * As already described, but if separator is not null, then objects
-   * such as TaggedWord
-   *
-   * @param separator The string used to separate Word and Tag
-   *                  in TaggedWord, etc
-   */
-  public static <T> String listToString(List<T> list, final boolean justValue,
-                                        final String separator) {
-    StringBuilder s = new StringBuilder();
-    for (Iterator<T> wordIterator = list.iterator(); wordIterator.hasNext();) {
-      T o = wordIterator.next();
-      s.append(wordToString(o, justValue, separator));
-      if (wordIterator.hasNext()) {
-        s.append(' ');
-      }
-    }
-    return s.toString();
-  }
-
-  public static <T> String wordToString(T o, final boolean justValue) {
-    return wordToString(o, justValue, null);
-  }
-
-  public static <T> String wordToString(T o, final boolean justValue,
-                                        final String separator) {
-    if (justValue && o instanceof Label) {
-      if (o instanceof CoreLabel) {
-        CoreLabel l = (CoreLabel) o;
-        String w = l.value();
-        if (w == null)
-          w = l.word();
-        return w;
-      } else {
-        return (((Label) o).value());
-      }
-    } else if (o instanceof CoreLabel) {
-      CoreLabel l = ((CoreLabel) o);
-      String w = l.value();
-      if (w == null)
-        w = l.word();
-      if (l.tag() != null) {
-        if (separator == null) {
-          return w + CoreLabel.TAG_SEPARATOR + l.tag();
-        } else {
-          return w + separator + l.tag();
-        }
-      }
-      return w;
-      // an interface that covered these next four cases would be
-      // nice, but we're moving away from these data types anyway
-    } else if (separator != null && o instanceof TaggedWord) {
-      return (((TaggedWord) o).toString(separator));
-    } else if (separator != null && o instanceof LabeledWord) {
-      return (((LabeledWord) o).toString(separator));
-    } else if (separator != null && o instanceof WordLemmaTag) {
-      return (((WordLemmaTag) o).toString(separator));
-    } else if (separator != null && o instanceof WordTag) {
-      return (((WordTag) o).toString(separator));
-    } else {
-      return (o.toString());
-    }
-  }
-
-  /**
-   * Returns the substring of the sentence from start (inclusive)
-   * to end (exclusive).
-   *
-   * @param start Leftmost index of the substring
-   * @param end Rightmost index of the ngram
-   * @return The ngram as a String
-   */
-  public static <T> String extractNgram(List<T> list, int start, int end) {
-    if (start < 0 || end > list.size() || start >= end) return null;
-    final StringBuilder sb = new StringBuilder();
-    // TODO: iterator
-    for (int i = start; i < end; i++) {
-      T o = list.get(i);
-      if (sb.length() != 0) sb.append(" ");
-      sb.append((o instanceof HasWord) ? ((HasWord) o).word() : o.toString());
-    }
-    return sb.toString();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/StringLabel.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/StringLabel.java
deleted file mode 100644
index 4836b5b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/StringLabel.java
+++ /dev/null
@@ -1,162 +0,0 @@
-package edu.stanford.nlp.ling;
-
-/**
- * A <code>StringLabel</code> object acts as a Label by containing a
- * single String, which it sets or returns in response to requests.
- * The hashCode() and compareTo() methods for this class assume that this
- * string value is non-null.  equals() is correctly implemented
- *
- * @author Christopher Manning
- * @version 2000/12/20
- */
-public class StringLabel extends ValueLabel implements HasOffset {
-
-  private String str;
-
-  /**
-   * Start position of the word in the original input string
-   */
-  private int beginPosition = -1;
-
-  /**
-   * End position of the word in the original input string
-   */
-  private int endPosition = -1;
-
-
-  /**
-   * Create a new <code>StringLabel</code> with a null content (i.e., str).
-   */
-  public StringLabel() {
-  }
-
-
-  /**
-   * Create a new <code>StringLabel</code> with the given content.
-   *
-   * @param str The new label's content
-   */
-  public StringLabel(String str) {
-    this.str = str;
-  }
-
-  /**
-   * Create a new <code>StringLabel</code> with the given content.
-   *
-   * @param str The new label's content
-   * @param beginPosition Start offset in original text
-   * @param endPosition End offset in original text
-   */
-  public StringLabel(String str, int beginPosition, int endPosition) {
-    this.str = str;
-    setBeginPosition(beginPosition);
-    setEndPosition(endPosition);
-  }
-
-
-  /**
-   * Create a new <code>StringLabel</code> with the
-   * <code>value()</code> of another label as its label.
-   *
-   * @param label The other label
-   */
-  public StringLabel(Label label) {
-    this.str = label.value();
-    if (label instanceof HasOffset) {
-      HasOffset ofs = (HasOffset) label;
-      setBeginPosition(ofs.beginPosition());
-      setEndPosition(ofs.endPosition());
-    }
-  }
-
-
-  /**
-   * Return the word value of the label (or null if none).
-   *
-   * @return String the word value for the label
-   */
-  @Override
-  public String value() {
-    return str;
-  }
-
-
-  /**
-   * Set the value for the label.
-   *
-   * @param value The value for the label
-   */
-  @Override
-  public void setValue(final String value) {
-    str = value;
-  }
-
-
-  /**
-   * Set the label from a String.
-   *
-   * @param str The str for the label
-   */
-  @Override
-  public void setFromString(final String str) {
-    this.str = str;
-  }
-
-  @Override
-  public String toString() {
-    return str;
-  }
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class StringLabelFactoryHolder {
-
-    private StringLabelFactoryHolder() {}
-
-    static final LabelFactory lf = new StringLabelFactory();
-  }
-
-  /**
-   * Return a factory for this kind of label
-   * (i.e., <code>StringLabel</code>).
-   * The factory returned is always the same one (a singleton).
-   *
-   * @return The label factory
-   */
-  @Override
-  public LabelFactory labelFactory() {
-    return StringLabelFactoryHolder.lf;
-  }
-
-
-  /**
-   * Return a factory for this kind of label.
-   *
-   * @return The label factory
-   */
-  public static LabelFactory factory() {
-    return StringLabelFactoryHolder.lf;
-  }
-
-  public int beginPosition()
-  {
-    return beginPosition;
-  }
-
-  public int endPosition()
-  {
-    return endPosition;
-  }
-
-  public void setBeginPosition(int beginPosition)
-  {
-    this.beginPosition = beginPosition;
-  }
-
-  public void setEndPosition(int endPosition)
-  {
-    this.endPosition = endPosition;
-  }
-
-  private static final long serialVersionUID = -4153619273767524247L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/StringLabelFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/StringLabelFactory.java
deleted file mode 100644
index bde6274..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/StringLabelFactory.java
+++ /dev/null
@@ -1,63 +0,0 @@
-package edu.stanford.nlp.ling;
-
-
-/**
- * A <code>StringLabelFactory</code> object makes a simple
- * <code>StringLabel</code> out of a <code>String</code>.
- *
- * @author Christopher Manning
- */
-public class StringLabelFactory implements LabelFactory {
-
-  /**
-   * Make a new label with this <code>String</code> as the "name".
-   *
-   * @param labelStr A string that determines the content of the label.
-   *                 For a StringLabel, it is exactly the given string
-   * @return The created label
-   */
-  public Label newLabel(String labelStr) {
-    return new StringLabel(labelStr);
-  }
-
-
-  /**
-   * Make a new label with this <code>String</code> as the "name".
-   *
-   * @param labelStr A string that determines the content of the label.
-   *                 For a StringLabel, it is exactly the given string
-   * @param options  The options are ignored by a StringLabelFactory
-   * @return The created label
-   */
-  public Label newLabel(String labelStr, int options) {
-    return new StringLabel(labelStr);
-  }
-
-
-  /**
-   * Make a new label with this <code>String</code> as the "name".
-   * This version does no decoding -- StringLabels just have a value.
-   *
-   * @param labelStr A string that determines the content of the label.
-   *                 For a StringLabel, it is exactly the given string
-   * @return The created label
-   */
-  public Label newLabelFromString(String labelStr) {
-    return new StringLabel(labelStr);
-  }
-
-
-  /**
-   * Create a new <code>StringLabel</code>, where the label is
-   * formed from
-   * the <code>Label</code> object passed in.  Depending on what fields
-   * each label has, other things will be <code>null</code>.
-   *
-   * @param oldLabel The Label that the new label is being created from
-   * @return a new label of a particular type
-   */
-  public Label newLabel(Label oldLabel) {
-    return new StringLabel(oldLabel);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/TaggedWord.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/TaggedWord.java
deleted file mode 100644
index 1e38985..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/TaggedWord.java
+++ /dev/null
@@ -1,148 +0,0 @@
-package edu.stanford.nlp.ling;
-
-/**
- * A <code>TaggedWord</code> object contains a word and its tag.
- * The <code>value()</code> of a TaggedWord is the Word.  The tag
- * is secondary.
- *
- * @author Christopher Manning
- */
-public class TaggedWord extends Word implements HasTag {
-
-  private String tag;
-
-  private static final String DIVIDER = "/";
-
-  /**
-   * Create a new <code>TaggedWord</code>.
-   * It will have <code>null</code> for its content fields.
-   */
-  public TaggedWord() {
-    super();
-  }
-
-  /**
-   * Create a new <code>TaggedWord</code>.
-   *
-   * @param word The word, which will have a <code>null</code> tag
-   */
-  public TaggedWord(String word) {
-    super(word);
-  }
-
-  /**
-   * Create a new <code>TaggedWord</code>.
-   *
-   * @param word The word
-   * @param tag  The tag
-   */
-  public TaggedWord(String word, String tag) {
-    super(word);
-    this.tag = tag;
-  }
-
-  /**
-   * Create a new <code>TaggedWord</code>.
-   *
-   * @param oldLabel A Label.  If it implements the HasWord and/or
-   *                 HasTag interface, then the corresponding value will be set
-   */
-  public TaggedWord(Label oldLabel) {
-    super(oldLabel.value());
-    if (oldLabel instanceof HasTag) {
-      this.tag = ((HasTag) oldLabel).tag();
-    }
-  }
-
-  /**
-   * Create a new <code>TaggedWord</code>.
-   *
-   * @param word This word is passed to the supertype constructor
-   * @param tag  The <code>value()</code> of this label is set as the
-   *             tag of this Label
-   */
-  public TaggedWord(Label word, Label tag) {
-    super(word);
-    this.tag = tag.value();
-  }
-
-  public String tag() {
-    return tag;
-  }
-
-  public void setTag(String tag) {
-    this.tag = tag;
-  }
-
-  @Override
-  public String toString() {
-    return toString(DIVIDER);
-  }
-
-  public String toString(String divider) {
-    return word() + divider + tag;
-  }
-
-
-  /**
-   * Sets a TaggedWord from decoding
-   * the <code>String</code> passed in.  The String is divided according
-   * to the divider character (usually, "/").  We assume that we can
-   * always just
-   * divide on the rightmost divider character, rather than trying to
-   * parse up escape sequences.  If the divider character isn't found
-   * in the word, then the whole string becomes the word, and the tag
-   * is <code>null</code>.
-   *
-   * @param taggedWord The word that will go into the <code>Word</code>
-   */
-  public void setFromString(String taggedWord) {
-    setFromString(taggedWord, DIVIDER);
-  }
-
-  public void setFromString(String taggedWord, String divider) {  
-    int where = taggedWord.lastIndexOf(divider);
-    if (where >= 0) {
-      setWord(taggedWord.substring(0, where));
-      setTag(taggedWord.substring(where + 1));
-    } else {
-      setWord(taggedWord);
-      setTag(null);
-    }
-  }
-
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class LabelFactoryHolder {
-
-    private LabelFactoryHolder() {}
-
-    private static final LabelFactory lf = new TaggedWordFactory();
-
-  }
-
-  /**
-   * Return a factory for this kind of label
-   * (i.e., <code>TaggedWord</code>).
-   * The factory returned is always the same one (a singleton).
-   *
-   * @return The label factory
-   */
-  @Override
-  public LabelFactory labelFactory() {
-    return LabelFactoryHolder.lf;
-  }
-
-
-  /**
-   * Return a factory for this kind of label.
-   *
-   * @return The label factory
-   */
-  public static LabelFactory factory() {
-    return LabelFactoryHolder.lf;
-  }
-
-  private static final long serialVersionUID = -7252006452127051085L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/TaggedWordFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/TaggedWordFactory.java
deleted file mode 100644
index ba8cd71..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/TaggedWordFactory.java
+++ /dev/null
@@ -1,103 +0,0 @@
-package edu.stanford.nlp.ling;
-
-/**
- * A <code>TaggedWordFactory</code> acts as a factory for creating objects of
- * class <code>TaggedWord</code>.
- *
- * @author Christopher Manning
- * @version 2000/12/21
- */
-public class TaggedWordFactory implements LabelFactory {
-
-  public final static int TAG_LABEL = 2;
-
-  private final char divider;
-
-
-  /**
-   * Create a new <code>TaggedWordFactory</code>.
-   * The divider will be taken as '/'.
-   */
-  public TaggedWordFactory() {
-    this('/');
-  }
-
-
-  /**
-   * Create a new <code>TaggedWordFactory</code>.
-   *
-   * @param divider This character will be used in calls to the one
-   *                argument version of <code>newLabel()</code>, to divide
-   *                the word from the tag.  Stuff after the last instance of this
-   *                character will become the tag, and stuff before it will
-   *                become the label.
-   */
-  public TaggedWordFactory(char divider) {
-    this.divider = divider;
-  }
-
-
-  /**
-   * Make a new label with this <code>String</code> as the value (word).
-   * Any other fields of the label would normally be null.
-   *
-   * @param labelStr The String that will be used for value
-   * @return The new TaggedWord (tag will be <code>null</code>)
-   */
-  public Label newLabel(String labelStr) {
-    return new TaggedWord(labelStr);
-  }
-
-
-  /**
-   * Make a new label with this <code>String</code> as a value component.
-   * Any other fields of the label would normally be null.
-   *
-   * @param labelStr The String that will be used for value
-   * @param options  what to make (use labelStr as word or tag)
-   * @return The new TaggedWord (tag or word will be <code>null</code>)
-   */
-  public Label newLabel(String labelStr, int options) {
-    if (options == TAG_LABEL) {
-      return new TaggedWord(null, labelStr);
-    }
-    return new TaggedWord(labelStr);
-  }
-
-
-  /**
-   * Create a new word, where the label is formed from
-   * the <code>String</code> passed in.  The String is divided according
-   * to the divider character.  We assume that we can always just
-   * divide on the rightmost divider character, rather than trying to
-   * parse up escape sequences.  If the divider character isn't found
-   * in the word, then the whole string becomes the word, and the tag
-   * is <code>null</code>.
-   *
-   * @param word The word that will go into the <code>Word</code>
-   * @return The new TaggedWord
-   */
-  public Label newLabelFromString(String word) {
-    int where = word.lastIndexOf(divider);
-    if (where >= 0) {
-      return new TaggedWord(word.substring(0, where), word.substring(where + 1));
-    } else {
-      return new TaggedWord(word);
-    }
-  }
-
-
-  /**
-   * Create a new <code>TaggedWord Label</code>, where the label is
-   * formed from
-   * the <code>Label</code> object passed in.  Depending on what fields
-   * each label has, other things will be <code>null</code>.
-   *
-   * @param oldLabel The Label that the new label is being created from
-   * @return a new label of a particular type
-   */
-  public Label newLabel(Label oldLabel) {
-    return new TaggedWord(oldLabel);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/ValueLabel.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/ValueLabel.java
deleted file mode 100644
index 1ec26dd..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/ValueLabel.java
+++ /dev/null
@@ -1,119 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.io.Serializable;
-
-/**
- * A <code>ValueLabel</code> object acts as a Label with linguistic
- * attributes.  This is an abstract class, which doesn't actually store
- * or return anything.  It returns <code>null</code> to any requests. However,
- * it does
- * stipulate that equals() and compareTo() are defined solely with respect to
- * value(); this should not be changed by subclasses.
- * Other fields of a ValueLabel subclass should be regarded
- * as secondary facets (it is almost impossible to override equals in
- * a useful way while observing the contract for equality defined for Object,
- * in particular, that equality must by symmetric).
- * This class is designed to be extended.
- *
- * @author Christopher Manning
- */
-public abstract class ValueLabel implements Label, Comparable<ValueLabel>, Serializable {
-
-  protected ValueLabel() {
-  }
-
-
-  /**
-   * Return the value of the label (or null if none).
-   * The default value returned by an <code>ValueLabel</code> is
-   * always <code>null</code>
-   *
-   * @return the value for the label
-   */
-  public String value() {
-    return null;
-  }
-
-
-  /**
-   * Set the value for the label (if one is stored).
-   *
-   * @param value - the value for the label
-   */
-  public void setValue(String value) {
-  }
-
-
-  /**
-   * Return a string representation of the label.  This will just
-   * be the <code>value()</code> if it is non-<code>null</code>,
-   * and the empty string otherwise.
-   *
-   * @return The string representation
-   */
-  @Override
-  public String toString() {
-    String val = value();
-    return (val == null) ? "" : val;
-  }
-
-
-  public void setFromString(String labelStr) {
-    throw new UnsupportedOperationException();
-  }
-
-
-  /**
-   * Equality for <code>ValueLabel</code>s is defined in the first instance
-   * as equality of their <code>String</code> <code>value()</code>.
-   * Now rewritten to correctly enforce the contract of equals in Object.
-   * Equality for a <code>ValueLabel</code> is determined simply by String
-   * equality of its <code>value()</code>.  Subclasses should not redefine
-   * this to include other aspects of the <code>ValueLabel</code>, or the
-   * contract for <code>equals()</code> is broken.
-   *
-   * @param obj the object against which equality is to be checked
-   * @return true if <code>this</code> and <code>obj</code> are equal
-   */
-  @Override
-  public boolean equals(Object obj) {
-    String val = value();
-    return (obj instanceof ValueLabel) && (val == null ? ((Label) obj).value() == null : val.equals(((Label) obj).value()));
-  }
-
-
-  /**
-   * Return the hashCode of the String value providing there is one.
-   * Otherwise, returns an arbitrary constant for the case of
-   * <code>null</code>.
-   */
-  @Override
-  public int hashCode() {
-    String val = value();
-    return val == null ? 3 : val.hashCode();
-  }
-
-
-  /**
-   * Orders by <code>value()</code>'s lexicographic ordering.
-   *
-   * @param valueLabel object to compare to
-   * @return result (positive if this is greater than obj)
-   */
-  public int compareTo(ValueLabel valueLabel) {
-    return value().compareTo(valueLabel.value());
-  }
-
-
-  /**
-   * Returns a factory that makes Labels of the appropriate sort.
-   *
-   * @return the <code>LabelFactory</code>
-   */
-  public abstract LabelFactory labelFactory();
-
-
-  private static final long serialVersionUID = -1413303679077285530L;
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Word.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Word.java
deleted file mode 100644
index b8dee13..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/Word.java
+++ /dev/null
@@ -1,100 +0,0 @@
-package edu.stanford.nlp.ling;
-
-
-/**
- * A <code>Word</code> object acts as a Label by containing a String.
- * This class is in essence identical to a <code>StringLabel</code>, but
- * it also uses the value to implement the <code>HasWord</code> interface.
- *
- * @author Christopher Manning
- * @version 2000/12/20
- */
-public class Word extends StringLabel implements HasWord {
-
-  /**
-   * String representation of an empty.
-   */
-  public static final String EMPTYSTRING = "*t*";
-
-  /**
-   * Word representation of an empty.
-   */
-  public static final Word EMPTY = new Word(EMPTYSTRING);
-
-  /**
-   * Construct a new word with a <code>null</code> value.
-   */
-  public Word() {
-    super();
-  }
-
-  /**
-   * Construct a new word, with the given value.
-   *
-   * @param word String value of the Word
-   */
-  public Word(String word) {
-    super(word);
-  }
-
-  /**
-   * Construct a new word, with the given value.
-   *
-   * @param word String value of the Word
-   */
-  public Word(String word, int beginPosition, int endPosition) {
-    super(word, beginPosition, endPosition);
-  }
-
-
-  /**
-   * Creates a new word whose word value is the value of any
-   * class that supports the <code>Label</code> interface.
-   *
-   * @param lab The label to be used as the basis of the new Word
-   */
-  public Word(Label lab) {
-    super(lab);
-  }
-
-
-  public String word() {
-    return value();
-  }
-
-
-  public void setWord(String word) {
-    setValue(word);
-  }
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class WordFactoryHolder {
-
-    private static final LabelFactory lf = new WordFactory();
-
-  }
-
-  /**
-   * Return a factory for this kind of label (i.e., <code>Word</code>).
-   * The factory returned is always the same one (a singleton).
-   *
-   * @return The label factory
-   */
-  @Override
-  public LabelFactory labelFactory() {
-    return WordFactoryHolder.lf;
-  }
-
-
-  /**
-   * Return a factory for this kind of label.
-   *
-   * @return The label factory
-   */
-  public static LabelFactory factory() {
-    return WordFactoryHolder.lf;
-  }
-
-  private static final long serialVersionUID = -4817252915997034058L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordFactory.java
deleted file mode 100644
index a48c2b8..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordFactory.java
+++ /dev/null
@@ -1,69 +0,0 @@
-package edu.stanford.nlp.ling;
-
-/**
- * A <code>WordFactory</code> acts as a factory for creating objects of
- * class <code>Word</code>.
- *
- * @author Christopher Manning
- * @version 2000/12/20
- */
-public class WordFactory implements LabelFactory {
-
-  /**
-   * Creates a new WordFactory.
-   */
-  public WordFactory() {
-  }
-
-
-  /**
-   * Create a new word, where the label is formed from
-   * the <code>String</code> passed in.
-   *
-   * @param word The word that will go into the <code>Word</code>
-   * @return The new label
-   */
-  public Label newLabel(String word) {
-    return new Word(word);
-  }
-
-
-  /**
-   * Create a new word, where the label is formed from
-   * the <code>String</code> passed in.
-   *
-   * @param word    The word that will go into the <code>Word</code>
-   * @param options is ignored by a WordFactory
-   * @return The new label
-   */
-  public Label newLabel(String word, int options) {
-    return new Word(word);
-  }
-
-
-  /**
-   * Create a new word, where the label is formed from
-   * the <code>String</code> passed in.
-   *
-   * @param word The word that will go into the <code>Word</code>
-   * @return The new label
-   */
-  public Label newLabelFromString(String word) {
-    return new Word(word);
-  }
-
-
-  /**
-   * Create a new <code>Word Label</code>, where the label is
-   * formed from
-   * the <code>Label</code> object passed in.  Depending on what fields
-   * each label has, other things will be <code>null</code>.
-   *
-   * @param oldLabel The Label that the new label is being created from
-   * @return a new label of a particular type
-   */
-  public Label newLabel(Label oldLabel) {
-    return new Word(oldLabel);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordLemmaTag.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordLemmaTag.java
deleted file mode 100644
index 704884c..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordLemmaTag.java
+++ /dev/null
@@ -1,258 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import edu.stanford.nlp.process.Morphology;
-
-/**
- * A WordLemmaTag corresponds to a pair of a tagged (e.g., for part of speech)
- * word and its lemma. WordLemmaTag is implemented with String-valued word,
- * lemma and tag.
- * It implements the Label interface; the <code>value()</code> method for that
- * interface corresponds to the word of the WordLemmaTag.
- * <p/>
- * The equality relation for WordLemmaTag is defined as identity of
- * word, lemma and tag.
- *
- * @author Marie-Catherine de Marneffe
- */
-public class WordLemmaTag implements Label, Comparable<WordLemmaTag>, HasWord, HasTag {
-
-  private String word;
-  private String lemma;
-  private String tag;
-  private static final String DIVIDER = "/";
-
-  public WordLemmaTag(String word) {
-    this.word = word;
-    this.lemma = null;
-    setTag(null);
-  }
-
-  public WordLemmaTag(Label word) {
-    this(word.value());
-  }
-
-  public WordLemmaTag() {
-  }
-
-  /**
-   * Create a new <code>WordLemmaTag</code>.
-   *
-   * @param word This word is set as the word of this Label
-   * @param tag  The <code>value()</code> of this Label is set as the
-   *             tag of this Label
-   */
-  public WordLemmaTag(String word, String tag) {
-    WordTag wT = new WordTag(word, tag);
-    this.word = word;
-    this.lemma = Morphology.stemStatic(wT).word();
-    setTag(tag);
-  }
-
-  /**
-   * Create a new <code>WordLemmaTag</code>.
-   *
-   * @param word  This word is passed to the supertype constructor
-   * @param lemma The lemma is set as the lemma of this Label
-   * @param tag   The <code>value()</code> of this Label is set as the
-   *              tag of this Label
-   */
-  public WordLemmaTag(String word, String lemma, String tag) {
-    this(word);
-    this.lemma = lemma;
-    setTag(tag);
-  }
-
-  /**
-   * Create a new <code>WordLemmaTag</code> from a Label.  The value of
-   * the Label corresponds to the word of the WordLemmaTag.
-   *
-   * @param word This word is passed to the supertype constructor
-   * @param tag  The <code>value()</code> of this Label is set as the
-   *             tag of this Label
-   */
-  public WordLemmaTag(Label word, Label tag) {
-    this(word);
-    WordTag wT = new WordTag(word, tag);
-    this.lemma = Morphology.stemStatic(wT).word();
-    setTag(tag.value());
-  }
-
-
-  /**
-   * Return a String representation of just the "main" value of this Label.
-   *
-   * @return the "value" of the Label
-   */
-  public String value() {
-    return word;
-  }
-
-  public String word() {
-    return value();
-  }
-
-  /**
-   * Set the value for the Label.
-   *
-   * @param value the value for the Label
-   */
-  public void setValue(String value) {
-    word = value;
-  }
-
-  public void setWord(String word) {
-    setValue(word);
-  }
-
-  public void setLemma(String lemma) {
-    this.lemma = lemma;
-  }
-
-  /**
-   * Set the tag for the Label.
-   *
-   * @param tag the value for the Label
-   */
-  public final void setTag(String tag) {
-    this.tag = tag;
-  }
-
-  public String tag() {
-    return tag;
-  }
-
-  public String lemma() {
-    return lemma;
-  }
-
-  /**
-   * Return a String representation of the Label.  For a multipart Label,
-   * this will return all parts.
-   *
-   * @return a text representation of the full label contents: word/lemma/tag
-   */
-  @Override
-  public String toString() {
-    return toString(DIVIDER);
-  }
-
-  public String toString(String divider) {
-    return word() + divider + lemma + divider + tag;
-  }
-
-
-  /**
-   * The String is divided according to the divider character (usually, "/").
-   * We assume that we can always just divide on the rightmost divider character,
-   * rather than trying to parse up escape sequences.  If the divider character isn't found
-   * in the word, then the whole string becomes the word, and lemma and tag
-   * are <code>null</code>.
-   * We assume that if only one divider character is found, word and tag are present in
-   * the String, and lemma will be computed.
-   *
-   * @param labelStr The word that will go into the <code>WordLemmaTag</code>
-   */
-  public void setFromString(String labelStr) {
-    setFromString(labelStr, DIVIDER);
-  }
-
-  public void setFromString(String labelStr, String divider) {
-    int first = labelStr.indexOf(divider);
-    int second = labelStr.lastIndexOf(divider);
-    if (first == second) {
-      setWord(labelStr.substring(0, first));
-      setTag(labelStr.substring(first + 1));
-      setLemma(Morphology.stemStatic(labelStr.substring(0, first), labelStr.substring(first + 1)).word());
-    } else if (first >= 0) {
-      setWord(labelStr.substring(0, first));
-      setLemma(labelStr.substring(first + 1, second));
-      setTag(labelStr.substring(second + 1));
-    } else {
-      setWord(labelStr);
-      setLemma(null);
-      setTag(null);
-    }
-  }
-
-  /**
-   * Equality is satisfied only if the compared object is a WordLemmaTag
-   * and has String-equal word, lemma and tag fields.
-   */
-  @Override
-  public boolean equals(Object o) {
-    if (this == o) return true;
-    if (!(o instanceof WordLemmaTag)) return false;
-
-    final WordLemmaTag other = (WordLemmaTag) o;
-    return word().equals(other.word()) && lemma().equals(other.lemma()) &&
-           tag().equals(other.tag());
-  }
-
-
-  @Override
-  public int hashCode() {
-    int result;
-    result = (word != null ? word.hashCode() : 3);
-    result = 29 * result + (tag != null ? tag.hashCode() : 0);
-    result = 29 * result + (lemma != null ? lemma.hashCode() : 0);
-    return result;
-  }
-
-
-  /**
-   * Orders first by word, then by lemma, then by tag.
-   *
-   * @param wordLemmaTag object to compare to
-   * @return result (positive if <code>this</code> is greater than
-   *         <code>obj</code>, 0 if equal, negative otherwise)
-   */
-  public int compareTo(WordLemmaTag wordLemmaTag) {
-    int first = word().compareTo(wordLemmaTag.word());
-    if (first != 0)
-      return first;
-    int second = lemma().compareTo(wordLemmaTag.lemma());
-    if (second != 0)
-      return second;
-    else
-      return tag().compareTo(wordLemmaTag.tag());
-  }
-
-
-  /**
-   * Return a factory for this kind of label
-   * (i.e., <code>TaggedWord</code>).
-   * The factory returned is always the same one (a singleton).
-   *
-   * @return The label factory
-   */
-  public LabelFactory labelFactory() {
-    return new WordLemmaTagFactory();
-  }
-
-
-  /*for debugging only*/
-  public static void main(String[] args) {
-    WordLemmaTag wLT = new WordLemmaTag();
-    wLT.setFromString("hunter/NN");
-
-    System.out.println(wLT.word());
-    System.out.println(wLT.lemma());
-    System.out.println(wLT.tag());
-
-    WordLemmaTag wLT2 = new WordLemmaTag();
-    wLT2.setFromString("bought/buy/V");
-    System.out.println(wLT2.word());
-    System.out.println(wLT2.lemma());
-    System.out.println(wLT2.tag());
-
-    WordLemmaTag wLT3 = new WordLemmaTag();
-    wLT2.setFromString("life");
-    System.out.println(wLT3.word());
-    System.out.println(wLT3.lemma());
-    System.out.println(wLT3.tag());
-
-  }
-
-  private static final long serialVersionUID = -5993410244163988138L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordLemmaTagFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordLemmaTagFactory.java
deleted file mode 100644
index 5c39606..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordLemmaTagFactory.java
+++ /dev/null
@@ -1,112 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import edu.stanford.nlp.process.Morphology;
-
-/**
- * /**
- * A <code>WordLemmaTagFactory</code> acts as a factory for creating
- * objects of class <code>WordLemmaTag</code>.
- *
- * @author Marie-Catherine de Marneffe
- */
-public class WordLemmaTagFactory implements LabelFactory {
-
-  public final static int LEMMA_LABEL = 1;
-  public final static int TAG_LABEL = 2;
-
-  private final char divider;
-
-
-  /**
-   * Create a new <code>WordLemmaTagFactory</code>.
-   * The divider will be taken as '/'.
-   */
-  public WordLemmaTagFactory() {
-    this('/');
-  }
-
-
-  /**
-   * Create a new <code>WordLemmaTagFactory</code>.
-   *
-   * @param divider This character will be used in calls to the one
-   *                argument version of <code>newLabel()</code>, to divide
-   *                word from lemma and tag.
-   */
-  public WordLemmaTagFactory(char divider) {
-    this.divider = divider;
-  }
-
-
-  /**
-   * Make a new label with this <code>String</code> as the value (word).
-   * Any other fields of the label would normally be null.
-   *
-   * @param labelStr The String that will be used for value
-   * @return The new WordLemmaTag (lemma and tag will be <code>null</code>)
-   */
-  public Label newLabel(String labelStr) {
-    return new WordLemmaTag(labelStr);
-  }
-
-
-  /**
-   * Make a new label with this <code>String</code> as a value component.
-   * Any other fields of the label would normally be null.
-   *
-   * @param labelStr The String that will be used for value
-   * @param options  what to make (use labelStr as word, lemma or tag)
-   * @return The new WordLemmaTag (word or lemma or tag will be <code>null</code>)
-   */
-  public Label newLabel(String labelStr, int options) {
-    if (options == TAG_LABEL) {
-      return new WordLemmaTag(null, null, labelStr);
-    } else if (options == LEMMA_LABEL) {
-      return new WordLemmaTag(null, labelStr, null);
-    } else {
-      return new WordLemmaTag(labelStr);
-    }
-
-  }
-
-
-  /**
-   * Create a new word, where the label is formed from
-   * the <code>String</code> passed in.  The String is divided according
-   * to the divider character.  We assume that we can always just
-   * divide on the rightmost divider character, rather than trying to
-   * parse up escape sequences.  If the divider character isn't found
-   * in the word, then the whole string becomes the word, and lemma and tag
-   * are <code>null</code>.
-   * We assume that if only one divider character is found, word and tag are presents in
-   * the String, and lemma will be computed.
-   *
-   * @param labelStr The word that will go into the <code>Word</code>
-   * @return The new WordLemmaTag
-   */
-  public Label newLabelFromString(String labelStr) {
-    int first = labelStr.indexOf(divider);
-    int second = labelStr.lastIndexOf(divider);
-    if (first == second) {
-      return new WordLemmaTag(labelStr.substring(0, first), Morphology.stemStatic(labelStr.substring(0, first), labelStr.substring(first + 1)).word(), labelStr.substring(first + 1));
-    } else if (first >= 0) {
-      return new WordLemmaTag(labelStr.substring(0, first), labelStr.substring(first + 1, second), labelStr.substring(second + 1));
-    } else {
-      return new WordLemmaTag(labelStr);
-    }
-  }
-
-
-  /**
-   * Create a new <code>WordLemmaTag Label</code>, where the label is
-   * formed from the <code>Label</code> object passed in.  Depending on what fields
-   * each label has, other things will be <code>null</code>.
-   *
-   * @param oldLabel The Label that the new label is being created from
-   * @return a new label of a particular type
-   */
-  public Label newLabel(Label oldLabel) {
-    return new WordLemmaTag(oldLabel);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordTag.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordTag.java
deleted file mode 100644
index d45892b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordTag.java
+++ /dev/null
@@ -1,252 +0,0 @@
-package edu.stanford.nlp.ling;
-
-import java.io.DataInputStream;
-import java.io.DataOutputStream;
-
-/**
- * A WordTag corresponds to a tagged (e.g., for part of speech) word
- * and is implemented with String-valued word and tag.  It implements
- * the Label interface; the <code>value()</code> method for that
- * interface corresponds to the word of the WordTag.
- * <p/>
- * The equality relation for WordTag is defined as identity of both
- * word and tag.  Note that this is different from
- * <code>TaggedWord</code>, for which equality derives from
- * <code>ValueLabel</code> and requires only identity of value.
- * @author Roger Levy
- */
-
-public class WordTag implements Label, HasWord, HasTag, Comparable<WordTag> {
-
-  private String word;
-  private String tag;
-  private static final String DIVIDER = "/";
-
-  /**
-   * Create a new <code>WordTag</code>.
-   *
-   * @param word This word is passed to the supertype constructor
-   * @param tag  The <code>value()</code> of this label is set as the
-   *             tag of this Label
-   */
-  public WordTag(String word, String tag) {
-    setWord(word);
-    setTag(tag);
-  }
-  
-  public WordTag(String word) {
-    this(word, null);
-  }
-
-  public <E extends Label & HasTag> WordTag(E word) {
-    this(word.value(), word.tag());
-  }
-
-  public WordTag() { }
-
-  /**
-   * Create a new <code>WordTag</code> from a Label.  The value of
-   * the Label corresponds to the word of the WordTag.
-   *
-   * @param word The <code>value()</code> of this label is set as the
-   *             word of the <code>WordTag</code>
-   * @param tag  The <code>value()</code> of this label is set as the
-   *             tag of the <code>WordTag</code>
-   */
-  public WordTag(Label word, Label tag) {
-    this(word.value(), tag.value());
-  }
-
-  
-  public static WordTag valueOf(String s) {
-    WordTag result = new WordTag();
-    result.setFromString(s);
-    return result;
-  }
-
-  public static WordTag valueOf(String s, String tagDivider) {
-    WordTag result = new WordTag();
-    result.setFromString(s, tagDivider);
-    return result;
-  }
-
-  /**
-   * Return a String representation of just the "main" value of this label.
-   *
-   * @return the "value" of the label
-   */
-  public String value() {
-    return word;
-  }
-
-  public String word() {
-    return value();
-  }
-
-  /**
-   * Set the value for the label (if one is stored).
-   *
-   * @param value - the value for the label
-   */
-  public void setValue(String value) {
-    word = value;
-  }
-
-  public String tag() {
-    return tag;
-  }
-
-  public void setWord(String word) {
-    setValue(word);
-  }
-
-  public void setTag(String tag) {
-    this.tag = tag;
-  }
-
-
-  /**
-   * Return a String representation of the label.  For a multipart label,
-   * this will return all parts.  The <code>toString()</code> method
-   * causes a label to spill its guts.  It should always return an
-   * empty string rather than <code>null</code> if there is no value.
-   *
-   * @return a text representation of the full label contents
-   */
-  @Override
-  public String toString() {
-    return toString(DIVIDER);
-  }
-
-  public String toString(String divider) {  
-    String tag = tag();
-    if (tag == null) {
-      return word();
-    } else {
-      return word() + divider + tag;
-    }
-  }
-
-
-  /**
-   * Sets a WordTag from decoding
-   * the <code>String</code> passed in.  The String is divided according
-   * to the divider character (usually, "/").  We assume that we can
-   * always just
-   * divide on the rightmost divider character, rather than trying to
-   * parse up escape sequences.  If the divider character isn't found
-   * in the word, then the whole string becomes the word, and the tag
-   * is <code>null</code>.
-   *
-   * @param wordTagString The word that will go into the <code>Word</code>
-   */
-  public void setFromString(String wordTagString) {
-    setFromString(wordTagString, DIVIDER);
-  }
-
-  public void setFromString(String wordTagString, String divider) {
-    int where = wordTagString.lastIndexOf(divider);
-    if (where >= 0) {
-      setWord(wordTagString.substring(0, where).intern());
-      setTag(wordTagString.substring(where + 1).intern());
-    } else {
-      setWord(wordTagString.intern());
-      setTag(null);
-    }
-  }
-
-  /** A WordTag is equal only to another WordTag with the same word and tag values.
-   */
-  @Override
-  public boolean equals(Object o) {
-    if (this == o) return true;
-    if (!(o instanceof WordTag)) return false;
-    final WordTag wordTag = (WordTag) o;
-    if (tag != null ? !tag.equals(wordTag.tag) : wordTag.tag != null) return false;
-    if (word != null ? !word.equals(wordTag.word) : wordTag.word != null) return false;
-    return true;
-  }
-
-  @Override
-  public int hashCode() {
-    int result;
-    result = (word != null ? word.hashCode() : 0);
-    result = 29 * result + (tag != null ? tag.hashCode() : 0);
-    return result;
-  }
-
-  /**
-   * Orders first by word, then by tag.
-   *
-   * @param wordTag object to compare to
-   * @return result (positive if <code>this</code> is greater than
-   *         <code>obj</code>, 0 if equal, negative otherwise)
-   */
-  public int compareTo(WordTag wordTag) {    
-    int first = (word != null ? word().compareTo(wordTag.word()) : 0);
-    if(first != 0)
-      return first;
-    else {
-      if (tag() == null) {
-        if (wordTag.tag() == null)
-          return 0;
-        else
-          return -1;
-      }
-      return tag().compareTo(wordTag.tag());
-    }
-  }
-
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class LabelFactoryHolder {
-
-    private static final LabelFactory lf = new WordTagFactory();
-
-  }
-
-  /**
-   * Return a factory for this kind of label
-   * (i.e., <code>TaggedWord</code>).
-   * The factory returned is always the same one (a singleton).
-   *
-   * @return The label factory
-   */
-  public LabelFactory labelFactory() {
-    return LabelFactoryHolder.lf;
-  }
-
-
-  /**
-   * Return a factory for this kind of label.
-   *
-   * @return The label factory
-   */
-  public static LabelFactory factory() {
-    return LabelFactoryHolder.lf;
-  }
-
-
-  public void read(DataInputStream in) {
-    try {
-      word = in.readUTF();
-      tag = in.readUTF();
-
-    } catch (Exception e) {
-      e.printStackTrace();
-    }
-  }
-
-
-  public void save(DataOutputStream out) {
-    try {
-      out.writeUTF(word);
-      out.writeUTF(tag);
-    } catch (Exception e) {
-      e.printStackTrace();
-    }
-  }
-
-  private static final long serialVersionUID = -1859527239216813742L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordTagFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordTagFactory.java
deleted file mode 100644
index 28288ef..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/ling/WordTagFactory.java
+++ /dev/null
@@ -1,108 +0,0 @@
-package edu.stanford.nlp.ling;
-
-/**
- * A <code>WordTagFactory</code> acts as a factory for creating
- * objects of class <code>WordTag</code>.  Note that
- * <code>WordTag</code> is a replacement for (now deprecated)
- * <code>TaggedWord</code>, which has a less stringent equality
- * condition.
- *
- * @author Christopher Manning, Roger Levy
- * @version 2003/04
- */
-public class WordTagFactory implements LabelFactory {
-
-  private final char divider;
-
-
-  /**
-   * Create a new <code>WordTagFactory</code>.
-   * The divider will be taken as '/'.
-   */
-  public WordTagFactory() {
-    this('/');
-  }
-
-
-  /**
-   * Create a new <code>WordTagFactory</code>.
-   *
-   * @param divider This character will be used in calls to the one
-   *                argument version of <code>newLabel()</code>, to divide
-   *                the word from the tag.  Stuff after the last instance of this
-   *                character will become the tag, and stuff before it will
-   *                become the label.
-   */
-  public WordTagFactory(char divider) {
-    this.divider = divider;
-  }
-
-
-  /**
-   * Make a new label with this <code>String</code> as the value (word).
-   * Any other fields of the label would normally be null.
-   *
-   * @param labelStr The String that will be used for value
-   * @return The new WordTag (tag will be <code>null</code>)
-   */
-  public Label newLabel(String labelStr) {
-    return new WordTag(labelStr);
-  }
-
-
-  /**
-   * Make a new label with this <code>String</code> as a value component.
-   * Any other fields of the label would normally be null.
-   *
-   * @param labelStr The String that will be used for value
-   * @param options  what to make (use labelStr as word or tag)
-   * @return The new WordTag (tag or word will be <code>null</code>)
-   */
-  public Label newLabel(String labelStr, int options) {
-    if (options == TaggedWordFactory.TAG_LABEL) {
-      return new WordTag(null, labelStr);
-    } else {
-      return new WordTag(labelStr);
-    }
-  }
-
-
-  /**
-   * Create a new word, where the label is formed from
-   * the <code>String</code> passed in.  The String is divided according
-   * to the divider character.  We assume that we can always just
-   * divide on the rightmost divider character, rather than trying to
-   * parse up escape sequences.  If the divider character isn't found
-   * in the word, then the whole string becomes the word, and the tag
-   * is <code>null</code>.
-   *
-   * @param word The word that will go into the <code>Word</code>
-   * @return The new WordTag
-   */
-  public Label newLabelFromString(String word) {
-    int where = word.lastIndexOf(divider);
-    if (where >= 0) {
-      return new WordTag(word.substring(0, where), word.substring(where + 1));
-    } else {
-      return new WordTag(word);
-    }
-  }
-
-
-  /**
-   * Create a new <code>WordTag Label</code>, where the label is
-   * formed from
-   * the <code>Label</code> object passed in.  Depending on what fields
-   * each label has, other things will be <code>null</code>.
-   *
-   * @param oldLabel The Label that the new label is being created from
-   * @return a new label of a particular type
-   */
-  public Label newLabel(Label oldLabel) {
-    if (oldLabel instanceof HasTag) {
-      return new WordTag(oldLabel.value(), ((HasTag) oldLabel).tag());
-    } else {
-      return new WordTag(oldLabel.value());
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/math/ADMath.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/math/ADMath.java
deleted file mode 100644
index be80832..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/math/ADMath.java
+++ /dev/null
@@ -1,142 +0,0 @@
-package edu.stanford.nlp.math;
-
-/**
- * The class <code>ADMath</code> was created to extend the
- * current calculations of gradient to automatically include a calculation of the
- * hessian vector product with another vector <code>v</code>.  It contains all the functions
- * for the DoubleAlgorithmicDifferentiationo class This is used with the
- * Stochastic Meta Descent Optimization, but could be extended for use in any application
- * that requires a additional order of differentiation without explicitly creating the code.
- *
- * @author Alex Kleeman
- * @version 2006/12/06
- */
-
-public class ADMath {
-
-  public static  DoubleAD mult(DoubleAD a,DoubleAD b){
-    DoubleAD c = new DoubleAD();
-    c.setval( a.getval() * b.getval() );
-    c.setdot(a.getdot()*b.getval() + b.getdot()*a.getval());
-    return c;
-  }
-
-  public static  DoubleAD multConst(DoubleAD a,double b){
-    DoubleAD c = new DoubleAD();
-    c.setval( a.getval() * b );
-    c.setdot(a.getdot()*b);
-    return c;
-  }
-
-
-  public static DoubleAD divide(DoubleAD a, DoubleAD b){
-    DoubleAD c = new DoubleAD();
-    c.setval(a.getval()/b.getval());
-    c.setdot(  (  a.getdot()/b.getval() )    -    a.getval()*b.getdot() / (b.getval()*b.getval()) );
-    return c;
-  }
-
-    public static DoubleAD divideConst(DoubleAD a, double b){
-    DoubleAD c = new DoubleAD();
-    c.setval(a.getval()/b);
-    c.setdot( a.getdot()/b  );
-    return c;
-  }
-
-
-  public static  DoubleAD exp(DoubleAD a){
-    DoubleAD c = new DoubleAD();
-    c.setval( Math.exp(a.getval()));
-    c.setdot(a.getdot() * Math.exp(a.getval()));
-    return c;
-  }
-
-  public static  DoubleAD log(DoubleAD a){
-    DoubleAD c = new DoubleAD();
-    c.setval( Math.log(a.getval()));
-    c.setdot( a.getdot()/a.getval());
-    return c;
-  }
-
-  public static  DoubleAD plus(DoubleAD a, DoubleAD b){
-    DoubleAD c = new DoubleAD();
-    c.setval( a.getval() + b.getval() );
-    c.setdot( a.getdot() + b.getdot());
-    return c;
-  }
-
-  public static  DoubleAD plusConst( DoubleAD a,double b){
-    DoubleAD c = new DoubleAD();
-    c.setval(  a.getval() + b );
-    c.setdot( a.getdot());
-    return c;
-  }
-
-
-  public static  DoubleAD minus(DoubleAD a, DoubleAD b){
-    DoubleAD c = new DoubleAD();
-    c.setval( a.getval() - b.getval() );
-    c.setdot( a.getdot() - b.getdot());
-    return c;
-  }
-
-  public static  DoubleAD minusConst( DoubleAD a,double b){
-    DoubleAD c = new DoubleAD();
-    c.setval(  a.getval() - b );
-    c.setdot( a.getdot());
-    return c;
-  }
-
-
-  public static DoubleAD logSum(DoubleAD[] logInputs) {
-    return logSum(logInputs,0,logInputs.length);
-  }
-    // Some of this might need to change for optimal AD
-
-
-  public static DoubleAD logSum(DoubleAD[] logInputs, int fromIndex, int toIndex) {
-    if (logInputs.length == 0)
-      throw new IllegalArgumentException();
-    if(fromIndex >= 0 && toIndex < logInputs.length && fromIndex >= toIndex)
-      return new DoubleAD(Double.NEGATIVE_INFINITY,Double.NEGATIVE_INFINITY);
-    int maxIdx = fromIndex;
-    double max = logInputs[fromIndex].getval();
-    double maxdot = logInputs[fromIndex].getdot();
-
-    for (int i = fromIndex+1; i < toIndex; i++) {
-      if (logInputs[i].getval() > max) {
-        maxIdx = i;
-        maxdot = logInputs[i].getdot();
-        max = logInputs[i].getval();
-      }
-    }
-
-    DoubleAD ret = new DoubleAD();
-    boolean haveTerms = false;
-    double intermediate = 0.0;
-    double intermediateDot = 0.0;
-    double curEXP;
-    double cutoff = max - SloppyMath.LOGTOLERANCE;
-    // we avoid rearranging the array and so test indices each time!
-    for (int i = fromIndex; i < toIndex; i++) {
-      if (i != maxIdx && logInputs[i].getval() > cutoff) {
-        haveTerms = true;
-        curEXP = Math.exp(logInputs[i].getval() - max);
-        intermediate += curEXP;
-        intermediateDot += curEXP*logInputs[i].getdot();
-      }
-    }
-    if (haveTerms) {
-      ret.setval(max + Math.log(1.0 + intermediate));
-      ret.setdot((maxdot + intermediateDot)/(1.0 + intermediate));
-    } else {
-      ret.setval(max);
-      ret.setdot(maxdot);
-    }
-      return ret;
-  }
-
-
-
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/math/ArrayMath.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/math/ArrayMath.java
deleted file mode 100644
index fc046dd..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/math/ArrayMath.java
+++ /dev/null
@@ -1,1926 +0,0 @@
-package edu.stanford.nlp.math;
-
-import java.io.IOException;
-import java.text.NumberFormat;
-import java.util.Arrays;
-import java.util.Collection;
-import java.util.List;
-import java.util.Random;
-
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.util.StringUtils;
-
-/**
- * Class ArrayMath
- *
- * @author Teg Grenager
- */
-public class ArrayMath {
-
-  private static final Random rand = new Random();
-
-
-  private ArrayMath() { } // not instantiable
-
-
-  // BASIC INFO -----------------------------------------------------------------
-
-  public static int numRows(double[] v) {
-    return v.length;
-  }
-
-
-  // CASTS ----------------------------------------------------------------------
-
-  public static float[] doubleArrayToFloatArray(double[] a) {
-    float[] result = new float[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = (float) a[i];
-    }
-    return result;
-  }
-
-  public static double[] floatArrayToDoubleArray(float[] a) {
-    double[] result = new double[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = a[i];
-    }
-    return result;
-  }
-
-  public static double[][] floatArrayToDoubleArray(float[][] a) {
-    double[][] result = new double[a.length][];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = new double[a[i].length];
-      for (int j = 0; j < a[i].length; j++) {
-        result[i][j] = a[i][j];
-      }
-    }
-    return result;
-  }
-
-  public static float[][] doubleArrayToFloatArray(double[][] a) {
-    float[][] result = new float[a.length][];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = new float[a[i].length];
-      for (int j = 0; j < a[i].length; j++) {
-        result[i][j] = (float) a[i][j];
-      }
-    }
-    return result;
-  }
-
-  public static int makeIntFromByte4(byte[] b, int offset) {
-    return (b[offset+3]&0xff)<<24 | (b[offset+2]&0xff)<<16 | (b[offset+1]&0xff)<<8 | (b[offset]&0xff);
-  }
-
-  public static int makeIntFromByte2(byte[] b, int offset) {
-    return (b[offset+1]&0xff)<<8 | (b[offset]&0xff);
-  }
-
-  // OPERATIONS ON AN ARRAY - NONDESTRUCTIVE
-
-  public static double[] exp(double[] a) {
-    double[] result = new double[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = Math.exp(a[i]);
-    }
-    return result;
-  }
-
-  public static double[] log(double[] a) {
-    double[] result = new double[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = Math.log(a[i]);
-    }
-    return result;
-  }
-
-  // OPERATIONS ON AN ARRAY - DESTRUCTIVE
-
-  public static void expInPlace(double[] a) {
-    for (int i = 0; i < a.length; i++) {
-      a[i] = Math.exp(a[i]);
-    }
-  }
-
-  public static void logInPlace(double[] a) {
-    for (int i = 0; i < a.length; i++) {
-      a[i] = Math.log(a[i]);
-    }
-  }
-
-  // OPERATIONS WITH SCALAR - DESTRUCTIVE
-
-  /**
-   * Increases the values in this array by b. Does it in place.
-   *
-   * @param a The array
-   * @param b The amount by which to increase each item
-   */
-  public static void addInPlace(double[] a, double b) {
-    for (int i = 0; i < a.length; i++) {
-      a[i] = a[i] + b;
-    }
-  }
-
-  /**
-   * Increases the values in this array by b. Does it in place.
-   *
-   * @param a The array
-   * @param b The amount by which to increase each item
-   */
-  public static void addInPlace(float[] a, double b) {
-    for (int i = 0; i < a.length; i++) {
-      a[i] = (float) (a[i] + b);
-    }
-  }
-
-  /**
-   * Add c times the array b to array a. Does it in place.
-   */
-  public static void addMultInPlace(double[] a, double[] b, double c) {
-    for (int i=0; i<a.length; i++) {
-      a[i] += b[i] * c;
-    }
-  }
-
-  /**
-   * Scales the values in this array by b. Does it in place.
-   */
-  public static void multiplyInPlace(double[] a, double b) {
-    for (int i = 0; i < a.length; i++) {
-      a[i] = a[i] * b;
-    }
-  }
-
-  /**
-   * Scales the values in this array by b. Does it in place.
-   */
-  public static void multiplyInPlace(float[] a, double b) {
-    for (int i = 0; i < a.length; i++) {
-      a[i] = (float) (a[i] * b);
-    }
-  }
-
-  /**
-   * Scales the values in this array by c.
-   */
-  public static void powInPlace(double[] a, double c) {
-    for (int i = 0; i < a.length; i++) {
-      a[i] = Math.pow(a[i], c);
-    }
-  }
-
-  /**
-   * Sets the values in this array by to their value taken to cth power.
-   */
-  public static void powInPlace(float[] a, float c) {
-    for (int i = 0; i < a.length; i++) {
-      a[i] = (float) Math.pow(a[i], c);
-    }
-  }
-
-  // OPERATIONS WITH SCALAR - NONDESTRUCTIVE
-
-  public static double[] add(double[] a, double c) {
-    double[] result = new double[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = a[i] + c;
-    }
-    return result;
-  }
-
-  public static float[] add(float[] a, double c) {
-    float[] result = new float[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = (float) (a[i] + c);
-    }
-    return result;
-  }
-
-  /**
-   * Scales the values in this array by c.
-   */
-  public static double[] multiply(double[] a, double c) {
-    double[] result = new double[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = a[i] * c;
-    }
-    return result;
-  }
-
-  /**
-   * Scales the values in this array by c.
-   */
-  public static float[] multiply(float[] a, float c) {
-    float[] result = new float[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = a[i] * c;
-    }
-    return result;
-  }
-
-  /**
-   * raises each entry in array a by power c
-   */
-  public static double[] pow(double[] a, double c) {
-    double[] result = new double[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = Math.pow(a[i], c);
-    }
-    return result;
-  }
-
-  /**
-   * raises each entry in array a by power c
-   */
-  public static float[] pow(float[] a, float c) {
-    float[] result = new float[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = (float) Math.pow(a[i], c);
-    }
-    return result;
-  }
-
-  // OPERATIONS WITH TWO ARRAYS - DESTRUCTIVE
-
-  public static void pairwiseAddInPlace(double[] to, double[] from) {
-    if (to.length != from.length) {
-      throw new RuntimeException();
-    }
-    for (int i = 0; i < to.length; i++) {
-      to[i] = to[i] + from[i];
-    }
-  }
-
-  public static void pairwiseAddInPlace(double[] to, int[] from) {
-    if (to.length != from.length) {
-      throw new RuntimeException();
-    }
-    for (int i = 0; i < to.length; i++) {
-      to[i] = to[i] + from[i];
-    }
-  }
-
-  public static void pairwiseAddInPlace(double[] to, short[] from) {
-    if (to.length != from.length) {
-      throw new RuntimeException();
-    }
-    for (int i = 0; i < to.length; i++) {
-      to[i] = to[i] + from[i];
-    }
-  }
-
-  public static void pairwiseSubtractInPlace(double[] to, double[] from) {
-    if (to.length != from.length) {
-      throw new RuntimeException();
-    }
-    for (int i = 0; i < to.length; i++) {
-      to[i] = to[i] - from[i];
-    }
-  }
-
-  public static void pairwiseScaleAddInPlace(double[] to, double[] from, double fromScale) {
-    if (to.length != from.length) {
-      throw new RuntimeException();
-    }
-    for (int i = 0; i < to.length; i++) {
-      to[i] = to[i] + fromScale * from[i];
-    }
-  }
-
-  // OPERATIONS WITH TWO ARRAYS - NONDESTRUCTIVE
-
-  public static int[] pairwiseAdd(int[] a, int[] b) {
-    int[] result = new int[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = a[i] + b[i];
-    }
-    return result;
-  }
-
-  public static double[] pairwiseAdd(double[] a, double[] b) {
-    double[] result = new double[a.length];
-    for (int i = 0; i < a.length; i++) {
-      if (i < b.length) {
-        result[i] = a[i] + b[i];
-      } else {
-        result[i] = a[i];
-      }
-    }
-    return result;
-  }
-
-  public static float[] pairwiseAdd(float[] a, float[] b) {
-    float[] result = new float[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = a[i] + b[i];
-    }
-    return result;
-  }
-
-  public static double[] pairwiseScaleAdd(double[] a, double[] b, double bScale) {
-    double[] result = new double[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = a[i] + bScale * b[i];
-    }
-    return result;
-  }
-
-
-  public static double[] pairwiseSubtract(double[] a, double[] b) {
-    double[] c = new double[a.length];
-
-    for (int i = 0; i < a.length; i++) {
-      c[i] = a[i] - b[i];
-    }
-    return c;
-  }
-
-  public static float[] pairwiseSubtract(float[] a, float[] b) {
-    float[] c = new float[a.length];
-
-    for (int i = 0; i < a.length; i++) {
-      c[i] = a[i] - b[i];
-    }
-    return c;
-  }
-
-  /**
-   * Assumes that both arrays have same length.
-   */
-  public static double[] pairwiseMultiply(double[] a, double[] b) {
-    if (a.length != b.length) {
-      throw new RuntimeException("Can't pairwise multiple different lengths: a.length=" + a.length + " b.length=" + b.length);
-    }
-    double[] result = new double[a.length];
-    for (int i = 0; i < result.length; i++) {
-      result[i] = a[i] * b[i];
-    }
-    return result;
-  }
-
-  /**
-   * Assumes that both arrays have same length.
-   */
-  public static float[] pairwiseMultiply(float[] a, float[] b) {
-    if (a.length != b.length) {
-      throw new RuntimeException();
-    }
-    float[] result = new float[a.length];
-    for (int i = 0; i < result.length; i++) {
-      result[i] = a[i] * b[i];
-    }
-    return result;
-  }
-
-  /**
-   * Puts the result in the result array.
-   * Assumes that all arrays have same length.
-   */
-  public static void pairwiseMultiply(double[] a, double[] b, double[] result) {
-    if (a.length != b.length) {
-      throw new RuntimeException();
-    }
-    for (int i = 0; i < result.length; i++) {
-      result[i] = a[i] * b[i];
-    }
-  }
-
-  /**
-   * Puts the result in the result array.
-   * Assumes that all arrays have same length.
-   */
-  public static void pairwiseMultiply(float[] a, float[] b, float[] result) {
-    if (a.length != b.length) {
-      throw new RuntimeException();
-    }
-    for (int i = 0; i < result.length; i++) {
-      result[i] = a[i] * b[i];
-    }
-  }
-
-  // ERROR CHECKING
-
-  public static boolean hasNaN(double[] a) {
-    for (double x : a) {
-      if (Double.isNaN(x)) return true;
-    }
-    return false;
-  }
-
-  public static boolean hasInfinite(double[] a) {
-    for (int i = 0; i < a.length; i++) {
-      if (Double.isInfinite(a[i])) return true;
-    }
-    return false;
-  }
-
-  // methods for filtering vectors ------------------------------------------
-
-  public static int countNaN(double[] v) {
-    int c = 0;
-    for (double d : v) {
-      if (Double.isNaN(d)) {
-        c++;
-      }
-    }
-    return c;
-  }
-
-  public static double[] filterNaN(double[] v) {
-    double[] u = new double[numRows(v) - countNaN(v)];
-    int j = 0;
-    for (double d : v) {
-      if ( ! Double.isNaN(d)) {
-        u[j++] = d;
-      }
-    }
-    return u;
-  }
-
-  public static int countInfinite(double[] v) {
-    int c = 0;
-    for (int i = 0; i < v.length; i++)
-      if (Double.isInfinite(v[i]))
-        c++;
-    return c;
-  }
-
-  public static int countNonZero(double[] v) {
-    int c = 0;
-    for (int i = 0; i < v.length; i++)
-      if (v[i] != 0.0)
-        ++c;
-    return c;
-  }
-
-  public static int countCloseToZero(double[] v, double epsilon) {
-    int c = 0;
-    for (int i = 0; i < v.length; i++)
-      if (Math.abs(v[i])< epsilon)
-        ++c;
-    return c;
-  }
-
-  public static int countPositive(double[] v) {
-    int c = 0;
-    for (int i = 0; i < v.length; i++)
-      if (v[i] > 0.0)
-        ++c;
-    return c;
-  }
-
-  public static int countNegative(double[] v) {
-    int c = 0;
-    for (int i = 0; i < v.length; i++)
-      if (v[i] < 0.0)
-        ++c;
-    return c;
-  }
-
-  public static double[] filterInfinite(double[] v) {
-    double[] u = new double[numRows(v) - countInfinite(v)];
-    int j = 0;
-    for (int i = 0; i < v.length; i++) {
-      if (!Double.isInfinite(v[i])) {
-        u[j++] = v[i];
-      }
-    }
-    return u;
-  }
-
-  public static double[] filterNaNAndInfinite(double[] v) {
-    return filterInfinite(filterNaN(v));
-  }
-
-
-  // VECTOR PROPERTIES
-
-  /**
-   * Returns the sum of an array of numbers.
-   */
-  public static double sum(double[] a) {
-    return sum(a,0,a.length);
-  }
-
-  /**
-   * Returns the sum of the portion of an array of numbers between
-   * <code>fromIndex</code>, inclusive, and <code>toIndex</code>, exclusive.
-   * Returns 0 if <code>fromIndex</code> &gt;= <code>toIndex</code>.
-   */
-  public static double sum(double[] a, int fromIndex, int toIndex) {
-    double result = 0.0;
-    for (int i = fromIndex; i < toIndex; i++) {
-      result += a[i];
-    }
-    return result;
-  }
-
-
-
-  public static int sum(int[] a) {
-    int result = 0;
-    for (int i : a) {
-      result += i;
-    }
-    return result;
-  }
-
-  public static float sum(float[] a) {
-    float result = 0.0F;
-    for (float f : a) {
-      result += f;
-    }
-    return result;
-  }
-
-  public static int sum(int[][] a) {
-    int result = 0;
-    for (int i = 0; i < a.length; i++) {
-      for (int j=0; j<a[i].length; j++) {
-        result += a[i][j];
-      }
-    }
-    return result;
-  }
-
-  /**
-   * Returns diagonal elements of the given (square) matrix.
-   */
-  public static int[] diag(int[][] a) {
-    int[] rv = new int[a.length];
-    for (int i = 0; i < a.length; i++) {
-      rv[i] = a[i][i];
-    }
-    return rv;
-  }
-
-  public static double average(double[] a) {
-    double total = ArrayMath.sum(a);
-    return total / a.length;
-  }
-
-  /**
-   * Computes inf-norm of vector
-   *
-   * @param a Array of double
-   * @return inf-norm of a
-   */
-  public static double norm_inf(double[] a) {
-    double max = Double.NEGATIVE_INFINITY;
-    for (double d : a) {
-      if (Math.abs(d) > max) {
-        max = Math.abs(d);
-      }
-    }
-    return max;
-  }
-
-
-  /**
-   * Computes inf-norm of vector
-   *
-   * @return inf-norm of a
-   */
-  public static double norm_inf(float[] a) {
-    double max = Double.NEGATIVE_INFINITY;
-    for (int i = 0; i < a.length; i++) {
-      if (Math.abs(a[i]) > max) {
-        max = Math.abs(a[i]);
-      }
-    }
-    return max;
-  }
-
-  /**
-   * Computes 1-norm of vector
-   *
-   * @param a A vector of double
-   * @return 1-norm of a
-   */
-  public static double norm_1(double[] a) {
-    double sum = 0;
-    for (double anA : a) {
-      sum += (anA < 0 ? -anA : anA);
-    }
-    return sum;
-  }
-
-  /**
-   * Computes 1-norm of vector
-   *
-   * @param a A vector of floats
-   * @return 1-norm of a
-   */
-  public static double norm_1(float[] a) {
-    double sum = 0;
-    for (float anA : a) {
-      sum += (anA < 0 ? -anA : anA);
-    }
-    return sum;
-  }
-
-
-  /**
-   * Computes 2-norm of vector
-   *
-   * @param a A vector of double
-   * @return Euclidean norm of a
-   */
-  public static double norm(double[] a) {
-    double squaredSum = 0;
-    for (double anA : a) {
-      squaredSum += anA * anA;
-    }
-    return Math.sqrt(squaredSum);
-  }
-
-  /**
-   * Computes 2-norm of vector
-   *
-   * @param a A vector of floats
-   * @return Euclidean norm of a
-   */
-  public static double norm(float[] a) {
-    double squaredSum = 0;
-    for (float anA : a) {
-      squaredSum += anA * anA;
-    }
-    return Math.sqrt(squaredSum);
-  }
-
-  /**
-   * @return the index of the max value; if max is a tie, returns the first one.
-   */
-  public static int argmax(double[] a) {
-    double max = Double.NEGATIVE_INFINITY;
-    int argmax = 0;
-    for (int i = 0; i < a.length; i++) {
-      if (a[i] > max) {
-        max = a[i];
-        argmax = i;
-      }
-    }
-    return argmax;
-  }
-
-  /**
-   * @return the index of the max value; if max is a tie, returns the last one.
-   */
-  public static int argmax_tieLast(double[] a) {
-    double max = Double.NEGATIVE_INFINITY;
-    int argmax = 0;
-    for (int i = 0; i < a.length; i++) {
-      if (a[i] >= max) {
-        max = a[i];
-        argmax = i;
-      }
-    }
-    return argmax;
-  }
-
-  public static double max(double[] a) {
-    return a[argmax(a)];
-  }
-
-  public static double max(Collection<Double> a) {
-    double max = Double.NEGATIVE_INFINITY;
-    for (double d : a) {
-      if (d > max) { max = d; }
-    }
-    return max;
-  }
-
-  /**
-   * @return the index of the max value; if max is a tie, returns the first one.
-   */
-  public static int argmax(float[] a) {
-    float max = Float.NEGATIVE_INFINITY;
-    int argmax = 0;
-    for (int i = 0; i < a.length; i++) {
-      if (a[i] > max) {
-        max = a[i];
-        argmax = i;
-      }
-    }
-    return argmax;
-  }
-
-  public static float max(float[] a) {
-    return a[argmax(a)];
-  }
-
-  /**
-   * @return the index of the max value; if max is a tie, returns the first one.
-   */
-  public static int argmin(double[] a) {
-    double min = Double.POSITIVE_INFINITY;
-    int argmin = 0;
-    for (int i = 0; i < a.length; i++) {
-      if (a[i] < min) {
-        min = a[i];
-        argmin = i;
-      }
-    }
-    return argmin;
-  }
-
-  public static double min(double[] a) {
-    return a[argmin(a)];
-  }
-
-  /**
-   * Returns the largest value in a vector of doubles.  Any values which
-   * are NaN or infinite are ignored.  If the vector is empty, 0.0 is
-   * returned.
-   */
-  public static double safeMin(double[] v) {
-    double[] u = filterNaNAndInfinite(v);
-    if (numRows(u) == 0) return 0.0;
-    return min(u);
-  }
-
-  /**
-   * @return the index of the max value; if max is a tie, returns the first one.
-   */
-  public static int argmin(float[] a) {
-    float min = Float.POSITIVE_INFINITY;
-    int argmin = 0;
-    for (int i = 0; i < a.length; i++) {
-      if (a[i] < min) {
-        min = a[i];
-        argmin = i;
-      }
-    }
-    return argmin;
-  }
-
-  public static float min(float[] a) {
-    return a[argmin(a)];
-  }
-
-  /**
-   * @return the index of the max value; if max is a tie, returns the first one.
-   */
-  public static int argmin(int[] a) {
-    int min = Integer.MAX_VALUE;
-    int argmin = 0;
-    for (int i = 0; i < a.length; i++) {
-      if (a[i] < min) {
-        min = a[i];
-        argmin = i;
-      }
-    }
-    return argmin;
-  }
-
-  public static int min(int[] a) {
-    return a[argmin(a)];
-  }
-
-  /**
-   * @return the index of the max value; if max is a tie, returns the first one.
-   */
-  public static int argmax(int[] a) {
-    int max = Integer.MIN_VALUE;
-    int argmax = 0;
-    for (int i = 0; i < a.length; i++) {
-      if (a[i] > max) {
-        max = a[i];
-        argmax = i;
-      }
-    }
-    return argmax;
-  }
-
-  public static int max(int[] a) {
-    return a[argmax(a)];
-  }
-
-  /** Returns the smallest element of the matrix */
-  public static int min(int[][] matrix) {
-    int min = Integer.MAX_VALUE;
-    for (int[] row : matrix) {
-      for (int elem : row) {
-        min = Math.min(min, elem);
-      }
-    }
-    return min;
-  }
-
-  /** Returns the smallest element of the matrix */
-  public static int max(int[][] matrix) {
-    int max = Integer.MIN_VALUE;
-    for (int[] row : matrix) {
-      for (int elem : row) {
-        max = Math.max(max, elem);
-      }
-    }
-    return max;
-  }
-
-  /**
-   * Returns the largest value in a vector of doubles.  Any values which
-   * are NaN or infinite are ignored.  If the vector is empty, 0.0 is
-   * returned.
-   */
-  public static double safeMax(double[] v) {
-    double[] u = filterNaNAndInfinite(v);
-    if (numRows(u) == 0) return 0.0;
-    return max(u);
-  }
-
-  /**
-   * Returns the log of the sum of an array of numbers, which are
-   * themselves input in log form.  This is all natural logarithms.
-   * Reasonable care is taken to do this as efficiently as possible
-   * (under the assumption that the numbers might differ greatly in
-   * magnitude), with high accuracy, and without numerical overflow.
-   *
-   * @param logInputs An array of numbers [log(x1), ..., log(xn)]
-   * @return log(x1 + ... + xn)
-   */
-  public static double logSum(double[] logInputs) {
-    return logSum(logInputs,0,logInputs.length);
-  }
-
-  /**
-   * Returns the log of the portion between <code>fromIndex</code>, inclusive, and
-   * <code>toIndex</code>, exclusive, of an array of numbers, which are
-   * themselves input in log form.  This is all natural logarithms.
-   * Reasonable care is taken to do this as efficiently as possible
-   * (under the assumption that the numbers might differ greatly in
-   * magnitude), with high accuracy, and without numerical overflow.  Throws an
-   * {@link IllegalArgumentException} if <code>logInputs</code> is of length zero.
-   * Otherwise, returns Double.NEGATIVE_INFINITY if <code>fromIndex</code> &gt;=
-   * <code>toIndex</code>.
-   *
-   * @param logInputs An array of numbers [log(x1), ..., log(xn)]
-   * @param fromIndex the
-   * @return log(x1 + ... + xn)
-   */
-  public static double logSum(double[] logInputs, int fromIndex, int toIndex) {
-    if (logInputs.length == 0)
-      throw new IllegalArgumentException();
-    if(fromIndex >= 0 && toIndex < logInputs.length && fromIndex >= toIndex)
-      return Double.NEGATIVE_INFINITY;
-    int maxIdx = fromIndex;
-    double max = logInputs[fromIndex];
-    for (int i = fromIndex+1; i < toIndex; i++) {
-      if (logInputs[i] > max) {
-        maxIdx = i;
-        max = logInputs[i];
-      }
-    }
-    boolean haveTerms = false;
-    double intermediate = 0.0;
-    double cutoff = max - SloppyMath.LOGTOLERANCE;
-    // we avoid rearranging the array and so test indices each time!
-    for (int i = fromIndex; i < toIndex; i++) {
-      if (i != maxIdx && logInputs[i] > cutoff) {
-        haveTerms = true;
-        intermediate += Math.exp(logInputs[i] - max);
-      }
-    }
-    if (haveTerms) {
-      return max + Math.log(1.0 + intermediate);
-    } else {
-      return max;
-    }
-  }
-
-  public static double logSum(List<Double> logInputs) {
-    return logSum(logInputs, 0, logInputs.size());
-  }
-
-  public static double logSum(List<Double> logInputs, int fromIndex, int toIndex) {
-    int length = logInputs.size();
-    if (length == 0)
-      throw new IllegalArgumentException();
-    if(fromIndex >= 0 && toIndex < length && fromIndex >= toIndex)
-      return Double.NEGATIVE_INFINITY;
-    int maxIdx = fromIndex;
-    double max = logInputs.get(fromIndex);
-    for (int i = fromIndex+1; i < toIndex; i++) {
-      double d = logInputs.get(i);
-      if (d > max) {
-        maxIdx = i;
-        max = d;
-      }
-    }
-    boolean haveTerms = false;
-    double intermediate = 0.0;
-    double cutoff = max - SloppyMath.LOGTOLERANCE;
-    // we avoid rearranging the array and so test indices each time!
-    for (int i = fromIndex; i < toIndex; i++) {
-      double d = logInputs.get(i);
-      if (i != maxIdx && d > cutoff) {
-        haveTerms = true;
-        intermediate += Math.exp(d - max);
-      }
-    }
-    if (haveTerms) {
-      return max + Math.log(1.0 + intermediate);
-    } else {
-      return max;
-    }
-  }
-
-
-  /**
-   * Returns the log of the sum of an array of numbers, which are
-   * themselves input in log form.  This is all natural logarithms.
-   * Reasonable care is taken to do this as efficiently as possible
-   * (under the assumption that the numbers might differ greatly in
-   * magnitude), with high accuracy, and without numerical overflow.
-   *
-   * @param logInputs An array of numbers [log(x1), ..., log(xn)]
-   * @return log(x1 + ... + xn)
-   */
-  public static float logSum(float[] logInputs) {
-    int leng = logInputs.length;
-    if (leng == 0) {
-      throw new IllegalArgumentException();
-    }
-    int maxIdx = 0;
-    float max = logInputs[0];
-    for (int i = 1; i < leng; i++) {
-      if (logInputs[i] > max) {
-        maxIdx = i;
-        max = logInputs[i];
-      }
-    }
-    boolean haveTerms = false;
-    double intermediate = 0.0f;
-    float cutoff = max - SloppyMath.LOGTOLERANCE_F;
-    // we avoid rearranging the array and so test indices each time!
-    for (int i = 0; i < leng; i++) {
-      if (i != maxIdx && logInputs[i] > cutoff) {
-        haveTerms = true;
-        intermediate += Math.exp(logInputs[i] - max);
-      }
-    }
-    if (haveTerms) {
-      return max + (float) Math.log(1.0 + intermediate);
-    } else {
-      return max;
-    }
-  }
-
-  // LINEAR ALGEBRAIC FUNCTIONS
-
-  public static double innerProduct(double[] a, double[] b) {
-    double result = 0.0;
-    int len = Math.min(a.length, b.length);
-    for (int i = 0; i < len; i++) {
-      result += a[i] * b[i];
-    }
-    return result;
-  }
-
-  public static double innerProduct(float[] a, float[] b) {
-    double result = 0.0;
-    int len = Math.min(a.length, b.length);
-    for (int i = 0; i < len; i++) {
-      result += a[i] * b[i];
-    }
-    return result;
-  }
-
-  // UTILITIES
-
-  public static int[] subArray(int[] a, int from, int to) {
-    int[] result = new int[to-from];
-    System.arraycopy(a, from, result, 0, to-from);
-    return result;
-  }
-
-  public static double[][] load2DMatrixFromFile(String filename) throws IOException {
-    String s = IOUtils.slurpFile(filename);
-    String[] rows = s.split("[\r\n]+");
-    double[][] result = new double[rows.length][];
-    for (int i=0; i<result.length; i++) {
-      String[] columns = rows[i].split("\\s+");
-      result[i] = new double[columns.length];
-      for (int j=0; j<result[i].length; j++) {
-        result[i][j] = Double.parseDouble(columns[j]);
-      }
-    }
-    return result;
-  }
-
-  public static Integer[] box(int[] assignment) {
-    Integer[] result = new Integer[assignment.length];
-    for (int i=0; i<assignment.length; i++) {
-      result[i] = Integer.valueOf(assignment[i]);
-    }
-    return result;
-  }
-
-  public static int[] unboxToInt(Collection<Integer> list) {
-    int[] result = new int[list.size()];
-    int i = 0;
-    for (int v : list) {
-      result[i++] = v;
-    }
-    return result;
-  }
-
-  public static Double[] box(double[] assignment) {
-    Double[] result = new Double[assignment.length];
-    for (int i=0; i<assignment.length; i++) {
-      result[i] = Double.valueOf(assignment[i]);
-    }
-    return result;
-  }
-
-  public static double[] unbox(Collection<Double> list) {
-    double[] result = new double[list.size()];
-    int i = 0;
-    for (double v : list) {
-      result[i++] = v;
-    }
-    return result;
-  }
-
-  public static int indexOf(int n, int[] a) {
-    for (int i=0; i<a.length; i++) {
-      if (a[i]==n) return i;
-    }
-    return -1;
-  }
-
-  public static int[][] castToInt(double[][] doubleCounts) {
-    int[][] result = new int[doubleCounts.length][];
-    for (int i=0; i<doubleCounts.length; i++) {
-      result[i] = new int[doubleCounts[i].length];
-      for (int j=0; j<doubleCounts[i].length; j++) {
-        result[i][j] = (int) doubleCounts[i][j];
-      }
-    }
-    return result;
-  }
-
-  // PROBABILITY FUNCTIONS
-
-  /**
-   * Makes the values in this array sum to 1.0. Does it in place.
-   * If the total is 0.0 or NaN, throws an RuntimeException.
-   */
-  public static void normalize(double[] a) {
-    double total = sum(a);
-    if (total == 0.0 || Double.isNaN(total)) {
-      throw new RuntimeException("Can't normalize an array with sum 0.0 or NaN: " + Arrays.toString(a));
-    }
-    multiplyInPlace(a, 1.0/total); // divide each value by total
-  }
-  
-  public static void L1normalize(double[] a) {
-    double total = L1Norm(a);
-    if (total == 0.0 || Double.isNaN(total)) {      
-      if (a.length < 100) {
-        throw new RuntimeException("Can't normalize an array with sum 0.0 or NaN: " + Arrays.toString(a));
-      } else {
-        double[] aTrunc = new double[100];
-        System.arraycopy(a, 0, aTrunc, 0, 100);
-        throw new RuntimeException("Can't normalize an array with sum 0.0 or NaN: " + Arrays.toString(aTrunc) + " ... ");
-      }
-      
-    }
-    multiplyInPlace(a, 1.0/total); // divide each value by total
-  }
-
-  /**
-   * Makes the values in this array sum to 1.0. Does it in place.
-   * If the total is 0.0 or NaN, throws an RuntimeException.
-   */
-  public static void normalize(float[] a) {
-    float total = sum(a);
-    if (total == 0.0 || Double.isNaN(total)) {
-      throw new RuntimeException("Can't normalize an array with sum 0.0 or NaN");
-    }
-    multiplyInPlace(a, 1.0/total); // divide each value by total
-  }
-
-  /**
-   * Standardize values in this array, i.e., subtract the mean and divide by the standard deviation.
-   * If standard deviation is 0.0, throws an RuntimeException.
-   */
-  public static void standardize(double[] a) {
-    double m = mean(a);
-    if (Double.isNaN(m))
-      throw new RuntimeException("Can't standardize array whose mean is NaN");
-    double s = stdev(a);
-    if(s == 0.0 || Double.isNaN(s))
-      throw new RuntimeException("Can't standardize array whose standard deviation is 0.0 or NaN");
-    addInPlace(a, -m); // subtract mean
-    multiplyInPlace(a, 1.0/s); // divide by standard deviation
-  }
-
-  public static double L2Norm(double[] a) {
-    double result = 0.0;
-    for(double d: a) {
-      result += Math.pow(d,2);
-    }
-    return Math.sqrt(result);
-  }
-
-  public static double L1Norm(double[] a) {
-    double result = 0.0;
-    for (double d: a) {
-      result += Math.abs(d);
-    }
-    return result;
-  }
-
-  /**
-   * Makes the values in this array sum to 1.0. Does it in place.
-   * If the total is 0.0, throws a RuntimeException.
-   * If the total is Double.NEGATIVE_INFINITY, then it replaces the
-   * array with a normalized uniform distribution. CDM: This last bit is
-   * weird!  Do we really want that?
-   */
-  public static void logNormalize(double[] a) {
-    double logTotal = logSum(a);
-    if (logTotal == Double.NEGATIVE_INFINITY) {
-      // to avoid NaN values
-      double v = -Math.log(a.length);
-      for (int i = 0; i < a.length; i++) {
-        a[i] = v;
-      }
-      return;
-    }
-    addInPlace(a, -logTotal); // subtract log total from each value
-  }
-
-  /**
-   * Samples from the distribution over values 0 through d.length given by d.
-   * Assumes that the distribution sums to 1.0.
-   *
-   * @param d the distribution to sample from
-   * @return a value from 0 to d.length
-   */
-  public static int sampleFromDistribution(double[] d) {
-    return sampleFromDistribution(d, rand);
-  }
-
-  /**
-   * Samples from the distribution over values 0 through d.length given by d.
-   * Assumes that the distribution sums to 1.0.
-   *
-   * @param d the distribution to sample from
-   * @return a value from 0 to d.length
-   */
-  public static int sampleFromDistribution(double[] d, Random random) {
-    // sample from the uniform [0,1]
-    double r = random.nextDouble();
-    // now compare its value to cumulative values to find what interval it falls in
-    double total = 0;
-    for (int i = 0; i < d.length - 1; i++) {
-      if (Double.isNaN(d[i])) {
-        throw new RuntimeException("Can't sample from NaN");
-      }
-      total += d[i];
-      if (r < total) {
-        return i;
-      }
-    }
-    return d.length - 1; // in case the "double-math" didn't total to exactly 1.0
-  }
-
-  /**
-   * Samples from the distribution over values 0 through d.length given by d.
-   * Assumes that the distribution sums to 1.0.
-   *
-   * @param d the distribution to sample from
-   * @return a value from 0 to d.length
-   */
-  public static int sampleFromDistribution(float[] d, Random random) {
-    // sample from the uniform [0,1]
-    double r = random.nextDouble();
-    // now compare its value to cumulative values to find what interval it falls in
-    double total = 0;
-    for (int i = 0; i < d.length - 1; i++) {
-      if (Float.isNaN(d[i])) {
-        throw new RuntimeException("Can't sample from NaN");
-      }
-      total += d[i];
-      if (r < total) {
-        return i;
-      }
-    }
-    return d.length - 1; // in case the "double-math" didn't total to exactly 1.0
-  }
-
-  public static double klDivergence(double[] from, double[] to) {
-    double kl = 0.0;
-    double tot = sum(from);
-    double tot2 = sum(to);
-    // System.out.println("tot is " + tot + " tot2 is " + tot2);
-    for (int i = 0; i < from.length; i++) {
-      if (from[i] == 0.0) {
-        continue;
-      }
-      double num = from[i] / tot;
-      double num2 = to[i] / tot2;
-      // System.out.println("num is " + num + " num2 is " + num2);
-      kl += num * (Math.log(num / num2) / Math.log(2.0));
-    }
-    return kl;
-  }
-
-  /**
-   * Returns the Jensen Shannon divergence (information radius) between
-   * a and b, defined as the average of the kl divergences from a to b
-   * and from b to a.
-   */
-  public static double jensenShannonDivergence(double[] a, double[] b) {
-    double[] average = pairwiseAdd(a, b);
-    multiplyInPlace(average, .5);
-    return .5 * klDivergence(a, average) + .5 * klDivergence(b, average);
-  }
-
-  public static void setToLogDeterministic(float[] a, int i) {
-    for (int j = 0; j < a.length; j++) {
-      if (j == i) {
-        a[j] = 0.0F;
-      } else {
-        a[j] = Float.NEGATIVE_INFINITY;
-      }
-    }
-  }
-
-  public static void setToLogDeterministic(double[] a, int i) {
-    for (int j = 0; j < a.length; j++) {
-      if (j == i) {
-        a[j] = 0.0;
-      } else {
-        a[j] = Double.NEGATIVE_INFINITY;
-      }
-    }
-  }
-
-  // SAMPLE ANALYSIS
-
-  public static double mean(double[] a) {
-    return sum(a) / a.length;
-  }
-
-  public static double median(double[] a) {
-    double[] b = new double[a.length];
-    System.arraycopy(a, 0, b, 0, b.length);
-    Arrays.sort(b);
-    int mid = b.length / 2;
-    if (b.length % 2 == 0) {
-      return (b[mid - 1] + b[mid]) / 2.0;
-    } else {
-      return b[mid];
-    }
-  }
-
-  /**
-   * Returns the mean of a vector of doubles.  Any values which are NaN or
-   * infinite are ignored.  If the vector is empty, 0.0 is returned.
-   */
-  public static double safeMean(double[] v) {
-    double[] u = filterNaNAndInfinite(v);
-    if (numRows(u) == 0) return 0.0;
-    return mean(u);
-  }
-
-  public static double sumSquaredError(double[] a) {
-    double mean = mean(a);
-    double result = 0.0;
-    for (double anA : a) {
-      double diff = anA - mean;
-      result += (diff * diff);
-    }
-    return result;
-  }
-
-  public static double sumSquared(double[] a) {
-    double result = 0.0;
-    for (double anA : a) {
-      result += (anA * anA);
-    }
-    return result;
-  }
-
-  public static double variance(double[] a) {
-    return sumSquaredError(a) / (a.length - 1);
-  }
-
-  public static double stdev(double[] a) {
-    return Math.sqrt(variance(a));
-  }
-
-  /**
-   * Returns the standard deviation of a vector of doubles.  Any values which
-   * are NaN or infinite are ignored.  If the vector contains fewer than two
-   * values, 1.0 is returned.
-   */
-  public static double safeStdev(double[] v) {
-    double[] u = filterNaNAndInfinite(v);
-    if (numRows(u) < 2) return 1.0;
-    return stdev(u);
-  }
-
-  public static double standardErrorOfMean(double[] a) {
-    return stdev(a) / Math.sqrt(a.length);
-  }
-
-
-  /**
-   * Fills the array with sample from 0 to numArgClasses-1 without replacement.
-   */
-  public static void sampleWithoutReplacement(int[] array, int numArgClasses) {
-    sampleWithoutReplacement(array, numArgClasses, rand);
-  }
-  /**
-   * Fills the array with sample from 0 to numArgClasses-1 without replacement.
-   */
-  public static void sampleWithoutReplacement(int[] array, int numArgClasses, Random rand) {
-    int[] temp = new int[numArgClasses];
-    for (int i = 0; i < temp.length; i++) {
-      temp[i] = i;
-    }
-    shuffle(temp, rand);
-    System.arraycopy(temp, 0, array, 0, array.length);
-  }
-
-  public static void shuffle(int[] a) {
-    shuffle(a, rand);
-  }
-
-  public static void shuffle(int[] a, Random rand) {
-    for (int i=a.length-1; i>=1; i--) {
-      int j = rand.nextInt(i+1); // a random index from 0 to i inclusive, may shuffle with itself
-      int tmp = a[i];
-      a[i] = a[j];
-      a[j] = tmp;
-    }
-  }
-
-  public static void reverse(int[] a) {
-    for (int i=0; i<a.length/2; i++) {
-      int j = a.length - i - 1;
-      int tmp = a[i];
-      a[i] = a[j];
-      a[j] = tmp;
-    }
-  }
-
-  public static boolean contains(int[] a, int i) {
-    for (int k : a) {
-      if (k == i) return true;
-    }
-    return false;
-  }
-
-  public static boolean containsInSubarray(int[] a, int begin, int end, int i) {
-    for (int j = begin; j < end; j++) {
-      if (a[j]==i) return true;
-    }
-    return false;
-  }
-
-  /**
-   * Direct computation of Pearson product-moment correlation coefficient.
-   * Note that if x and y are involved in several computations of
-   * pearsonCorrelation, it is perhaps more advisable to first standardize
-   * x and y, then compute innerProduct(x,y)/(x.length-1).
-   */
-  public static double pearsonCorrelation(double[] x, double[] y) {
-		double result;
-		double sum_sq_x = 0, sum_sq_y = 0;
-    double mean_x = x[0], mean_y = y[0];
-		double sum_coproduct = 0;
-		for(int i=2; i<x.length+1;++i) {
-			double w = (i - 1)*1.0/i;
-			double delta_x = x[i-1] - mean_x;
-			double delta_y = y[i-1] - mean_y;
-			sum_sq_x += delta_x * delta_x*w;
-			sum_sq_y += delta_y * delta_y*w;
-			sum_coproduct += delta_x * delta_y*w;
-			mean_x += delta_x / i;
-			mean_y += delta_y / i;
-		}
-		double pop_sd_x = Math.sqrt(sum_sq_x/x.length);
-		double pop_sd_y = Math.sqrt(sum_sq_y/y.length);
-		double cov_x_y = sum_coproduct / x.length;
-    double denom = pop_sd_x*pop_sd_y;
-    if(denom == 0.0)
-      return 0.0;
-    result = cov_x_y/denom;
-		return result;
-	}
-
-  /**
-   * Computes the significance level by approximate randomization, using a
-   * default value of 1000 iterations.  See documentation for other version
-   * of method.
-   */
-  public static double sigLevelByApproxRand(double[] A, double[] B) {
-    return sigLevelByApproxRand(A, B, 1000);
-  }
-
-  /**
-   * Takes a pair of arrays, A and B, which represent corresponding
-   * outcomes of a pair of random variables: say, results for two different
-   * classifiers on a sequence of inputs.  Returns the estimated
-   * probability that the difference between the means of A and B is not
-   * significant, that is, the significance level.  This is computed by
-   * "approximate randomization".  The test statistic is the absolute
-   * difference between the means of the two arrays.  A randomized test
-   * statistic is computed the same way after initially randomizing the
-   * arrays by swapping each pair of elements with 50% probability.  For
-   * the given number of iterations, we generate a randomized test
-   * statistic and compare it to the actual test statistic.  The return
-   * value is the proportion of iterations in which a randomized test
-   * statistic was found to exceed the actual test statistic.
-   *
-   * @param A Outcome of one r.v.
-   * @param B Outcome of another r.v.
-   * @return Significance level by randomization
-   */
-  public static double sigLevelByApproxRand(double[] A, double[] B, int iterations) {
-    if (A.length == 0)
-      throw new IllegalArgumentException("Input arrays must not be empty!");
-    if (A.length != B.length)
-      throw new IllegalArgumentException("Input arrays must have equal length!");
-    if (iterations <= 0)
-      throw new IllegalArgumentException("Number of iterations must be positive!");
-    double testStatistic = absDiffOfMeans(A, B, false); // not randomized
-    int successes = 0;
-    for (int i = 0; i < iterations; i++) {
-      double t =  absDiffOfMeans(A, B, true); // randomized
-      if (t >= testStatistic) successes++;
-    }
-    return (double) (successes + 1) / (double) (iterations + 1);
-  }
-
-  public static double sigLevelByApproxRand(int[] A, int[] B) {
-    return sigLevelByApproxRand(A, B, 1000);
-  }
-
-  public static double sigLevelByApproxRand(int[] A, int[] B, int iterations) {
-    if (A.length == 0)
-      throw new IllegalArgumentException("Input arrays must not be empty!");
-    if (A.length != B.length)
-      throw new IllegalArgumentException("Input arrays must have equal length!");
-    if (iterations <= 0)
-      throw new IllegalArgumentException("Number of iterations must be positive!");
-    double[] X = new double[A.length];
-    double[] Y = new double[B.length];
-    for (int i = 0; i < A.length; i++) {
-      X[i] = A[i];
-      Y[i] = B[i];
-    }
-    return sigLevelByApproxRand(X, Y, iterations);
-  }
-
-  public static double sigLevelByApproxRand(boolean[] A, boolean[] B) {
-    return sigLevelByApproxRand(A, B, 1000);
-  }
-
-  public static double sigLevelByApproxRand(boolean[] A, boolean[] B, int iterations) {
-    if (A.length == 0)
-      throw new IllegalArgumentException("Input arrays must not be empty!");
-    if (A.length != B.length)
-      throw new IllegalArgumentException("Input arrays must have equal length!");
-    if (iterations <= 0)
-      throw new IllegalArgumentException("Number of iterations must be positive!");
-    double[] X = new double[A.length];
-    double[] Y = new double[B.length];
-    for (int i = 0; i < A.length; i++) {
-      X[i] = (A[i] ? 1.0 : 0.0);
-      Y[i] = (B[i] ? 1.0 : 0.0);
-    }
-    return sigLevelByApproxRand(X, Y, iterations);
-  }
-
-
-  // Returns the absolute difference between the means of arrays A and B.
-  // If 'randomize' is true, swaps matched A & B entries with 50% probability
-  // Assumes input arrays have equal, non-zero length.
-  private static double absDiffOfMeans(double[] A, double[] B, boolean randomize) {
-    Random random = new Random();
-    double aTotal = 0.0;
-    double bTotal = 0.0;
-    for (int i = 0; i < A.length; i++) {
-      if (randomize && random.nextBoolean()) {
-        aTotal += B[i];
-        bTotal += A[i];
-      } else {
-        aTotal += A[i];
-        bTotal += B[i];
-      }
-    }
-    double aMean = aTotal / A.length;
-    double bMean = bTotal / B.length;
-    return Math.abs(aMean - bMean);
-  }
-
-  // PRINTING FUNCTIONS
-
-  public static String toBinaryString(byte[] b) {
-    StringBuilder s = new StringBuilder();
-    for (byte by : b) {
-      for (int j = 7; j >= 0; j--) {
-        if ((by & (1 << j)) > 0) {
-          s.append('1');
-        } else {
-          s.append('0');
-        }
-      }
-      s.append(' ');
-    }
-    return s.toString();
-  }
-
-  public static String toString(double[] a) {
-    return toString(a, null);
-  }
-
-  public static String toString(double[] a, NumberFormat nf) {
-    if (a == null) return null;
-    if (a.length == 0) return "[]";
-    StringBuilder b = new StringBuilder();
-    b.append('[');
-    for (int i = 0; i < a.length - 1; i++) {
-      String s;
-      if (nf == null) {
-        s = String.valueOf(a[i]);
-      } else {
-        s = nf.format(a[i]);
-      }
-      b.append(s);
-      b.append(", ");
-    }
-    String s;
-    if (nf == null) {
-      s = String.valueOf(a[a.length - 1]);
-    } else {
-      s = nf.format(a[a.length - 1]);
-    }
-    b.append(s);
-    b.append(']');
-    return b.toString();
-  }
-
-  public static String toString(float[] a) {
-    return toString(a, null);
-  }
-
-  public static String toString(float[] a, NumberFormat nf) {
-    if (a == null) return null;
-    if (a.length == 0) return "[]";
-    StringBuilder b = new StringBuilder();
-    b.append('[');
-    for (int i = 0; i < a.length - 1; i++) {
-      String s;
-      if (nf == null) {
-        s = String.valueOf(a[i]);
-      } else {
-        s = nf.format(a[i]);
-      }
-      b.append(s);
-      b.append(", ");
-    }
-    String s;
-    if (nf == null) {
-      s = String.valueOf(a[a.length - 1]);
-    } else {
-      s = nf.format(a[a.length - 1]);
-    }
-    b.append(s);
-    b.append(']');
-    return b.toString();
-  }
-
-  public static String toString(int[] a) {
-    return toString(a, null);
-  }
-
-  public static String toString(int[] a, NumberFormat nf) {
-    if (a == null) return null;
-    if (a.length == 0) return "[]";
-    StringBuilder b = new StringBuilder();
-    b.append('[');
-    for (int i = 0; i < a.length - 1; i++) {
-      String s;
-      if (nf == null) {
-        s = String.valueOf(a[i]);
-      } else {
-        s = nf.format(a[i]);
-      }
-      b.append(s);
-      b.append(", ");
-    }
-    String s;
-    if (nf == null) {
-      s = String.valueOf(a[a.length - 1]);
-    } else {
-      s = nf.format(a[a.length - 1]);
-    }
-    b.append(s);
-    b.append(']');
-    return b.toString();
-  }
-
-  public static String toString(byte[] a) {
-    return toString(a, null);
-  }
-
-  public static String toString(byte[] a, NumberFormat nf) {
-    if (a == null) return null;
-    if (a.length == 0) return "[]";
-    StringBuilder b = new StringBuilder();
-    b.append('[');
-    for (int i = 0; i < a.length - 1; i++) {
-      String s;
-      if (nf == null) {
-        s = String.valueOf(a[i]);
-      } else {
-        s = nf.format(a[i]);
-      }
-      b.append(s);
-      b.append(", ");
-    }
-    String s;
-    if (nf == null) {
-      s = String.valueOf(a[a.length - 1]);
-    } else {
-      s = nf.format(a[a.length - 1]);
-    }
-    b.append(s);
-    b.append(']');
-    return b.toString();
-  }
-
-  public static String toString(int[][] counts) {
-    return toString(counts, null, null, 10, 10, NumberFormat.getInstance(), false);
-  }
-
-  public static String toString(int[][] counts, Object[] rowLabels, Object[] colLabels, int labelSize, int cellSize, NumberFormat nf, boolean printTotals) {
-    // first compute row totals and column totals
-    if (counts.length==0 || counts[0].length==0) return "";
-    int[] rowTotals = new int[counts.length];
-    int[] colTotals = new int[counts[0].length]; // assume it's square
-    int total = 0;
-    for (int i = 0; i < counts.length; i++) {
-      for (int j = 0; j < counts[i].length; j++) {
-        rowTotals[i] += counts[i][j];
-        colTotals[j] += counts[i][j];
-        total += counts[i][j];
-      }
-    }
-    StringBuilder result = new StringBuilder();
-    // column labels
-    if (colLabels != null) {
-      result.append(StringUtils.padLeft("", labelSize)); // spacing for the row labels!
-      for (int j = 0; j < counts[0].length; j++) {
-        String s = (colLabels[j]==null ? "null" : colLabels[j].toString());
-        if (s.length() > cellSize - 1) {
-          s = s.substring(0, cellSize - 1);
-        }
-        s = StringUtils.padLeft(s, cellSize);
-        result.append(s);
-      }
-      if (printTotals) {
-        result.append(StringUtils.padLeftOrTrim("Total", cellSize));
-      }
-      result.append('\n');
-    }
-    for (int i = 0; i < counts.length; i++) {
-      // row label
-      if (rowLabels != null) {
-        String s = (rowLabels[i]==null ? "null" : rowLabels[i].toString());
-        s = StringUtils.padOrTrim(s, labelSize); // left align this guy only
-        result.append(s);
-      }
-      // value
-      for (int j = 0; j < counts[i].length; j++) {
-        result.append(StringUtils.padLeft(nf.format(counts[i][j]), cellSize));
-      }
-      // the row total
-      if (printTotals) {
-        result.append(StringUtils.padLeft(nf.format(rowTotals[i]), cellSize));
-      }
-      result.append('\n');
-    }
-    // the col totals
-    if (printTotals) {
-      result.append(StringUtils.pad("Total", labelSize));
-      for (int colTotal : colTotals) {
-        result.append(StringUtils.padLeft(nf.format(colTotal), cellSize));
-      }
-      result.append(StringUtils.padLeft(nf.format(total), cellSize));
-    }
-    return result.toString();
-  }
-
-
-  public static String toString(double[][] counts) {
-    return toString(counts, 10, null, null, NumberFormat.getInstance(), false);
-  }
-
-  public static String toString(double[][] counts, int cellSize, Object[] rowLabels, Object[] colLabels, NumberFormat nf, boolean printTotals) {
-    if (counts==null) return null;
-    // first compute row totals and column totals
-    double[] rowTotals = new double[counts.length];
-    double[] colTotals = new double[counts[0].length]; // assume it's square
-    double total = 0.0;
-    for (int i = 0; i < counts.length; i++) {
-      for (int j = 0; j < counts[i].length; j++) {
-        rowTotals[i] += counts[i][j];
-        colTotals[j] += counts[i][j];
-        total += counts[i][j];
-      }
-    }
-    StringBuilder result = new StringBuilder();
-    // column labels
-    if (colLabels != null) {
-      result.append(StringUtils.padLeft("", cellSize));
-      for (int j = 0; j < counts[0].length; j++) {
-        String s = colLabels[j].toString();
-        if (s.length() > cellSize - 1) {
-          s = s.substring(0, cellSize - 1);
-        }
-        s = StringUtils.padLeft(s, cellSize);
-        result.append(s);
-      }
-      if (printTotals) {
-        result.append(StringUtils.padLeftOrTrim("Total", cellSize));
-      }
-      result.append('\n');
-    }
-    for (int i = 0; i < counts.length; i++) {
-      // row label
-      if (rowLabels != null) {
-        String s = rowLabels[i].toString();
-        s = StringUtils.padOrTrim(s, cellSize); // left align this guy only
-        result.append(s);
-      }
-      // value
-      for (int j = 0; j < counts[i].length; j++) {
-        result.append(StringUtils.padLeft(nf.format(counts[i][j]), cellSize));
-      }
-      // the row total
-      if (printTotals) {
-        result.append(StringUtils.padLeft(nf.format(rowTotals[i]), cellSize));
-      }
-      result.append('\n');
-    }
-    // the col totals
-    if (printTotals) {
-      result.append(StringUtils.pad("Total", cellSize));
-      for (double colTotal : colTotals) {
-        result.append(StringUtils.padLeft(nf.format(colTotal), cellSize));
-      }
-      result.append(StringUtils.padLeft(nf.format(total), cellSize));
-    }
-    return result.toString();
-  }
-
-  public static String toString(float[][] counts) {
-    return toString(counts, 10, null, null, NumberFormat.getIntegerInstance(), false);
-  }
-
-  public static String toString(float[][] counts, int cellSize, Object[] rowLabels, Object[] colLabels, NumberFormat nf, boolean printTotals) {
-    // first compute row totals and column totals
-    double[] rowTotals = new double[counts.length];
-    double[] colTotals = new double[counts[0].length]; // assume it's square
-    double total = 0.0;
-    for (int i = 0; i < counts.length; i++) {
-      for (int j = 0; j < counts[i].length; j++) {
-        rowTotals[i] += counts[i][j];
-        colTotals[j] += counts[i][j];
-        total += counts[i][j];
-      }
-    }
-    StringBuilder result = new StringBuilder();
-    // column labels
-    if (colLabels != null) {
-      result.append(StringUtils.padLeft("", cellSize));
-      for (int j = 0; j < counts[0].length; j++) {
-        String s = colLabels[j].toString();
-        s = StringUtils.padLeftOrTrim(s, cellSize);
-        result.append(s);
-      }
-      if (printTotals) {
-        result.append(StringUtils.padLeftOrTrim("Total", cellSize));
-      }
-      result.append('\n');
-    }
-    for (int i = 0; i < counts.length; i++) {
-      // row label
-      if (rowLabels != null) {
-        String s = rowLabels[i].toString();
-        s = StringUtils.pad(s, cellSize); // left align this guy only
-        result.append(s);
-      }
-      // value
-      for (int j = 0; j < counts[i].length; j++) {
-        result.append(StringUtils.padLeft(nf.format(counts[i][j]), cellSize));
-      }
-      // the row total
-      if (printTotals) {
-        result.append(StringUtils.padLeft(nf.format(rowTotals[i]), cellSize));
-      }
-      result.append('\n');
-    }
-    // the col totals
-    if (printTotals) {
-      result.append(StringUtils.pad("Total", cellSize));
-      for (double colTotal : colTotals) {
-        result.append(StringUtils.padLeft(nf.format(colTotal), cellSize));
-      }
-      result.append(StringUtils.padLeft(nf.format(total), cellSize));
-    }
-    return result.toString();
-  }
-
-  /**
-   * For testing only.
-   * @param args Ignored
-   */
-  public static void main(String[] args) {
-    Random random = new Random();
-    int length = 100;
-    double[] A = new double[length];
-    double[] B = new double[length];
-    double aAvg = 70.0;
-    double bAvg = 70.5;
-    for (int i = 0; i < length; i++) {
-      A[i] = aAvg + random.nextGaussian();
-      B[i] = bAvg + random.nextGaussian();
-    }
-    System.out.println("A has length " + A.length + " and mean " + mean(A));
-    System.out.println("B has length " + B.length + " and mean " + mean(B));
-    for (int t = 0; t < 10; t++) {
-      System.out.println("p-value: " + sigLevelByApproxRand(A, B));
-    }
-  }
-
-  public static int[][] deepCopy(int[][] counts) {
-    int[][] result = new int[counts.length][];
-    for (int i=0; i<counts.length; i++) {
-      result[i] = new int[counts[i].length];
-      System.arraycopy(counts[i], 0, result[i], 0, counts[i].length);
-    }
-    return result;
-  }
-
-  public static double[][] covariance(double[][] data) {
-    double[] means = new double[data.length];
-    for (int i = 0; i < means.length; i++) {
-      means[i] = mean(data[i]);
-    }
-
-    double[][] covariance = new double[means.length][means.length];
-    for (int i = 0; i < data[0].length; i++) {
-      for (int j = 0; j < means.length; j++) {
-        for (int k = 0; k < means.length; k++) {
-          covariance[j][k] += (means[j]-data[j][i])*(means[k]-data[k][i]);
-        }
-      }
-    }
-
-    for (int i = 0; i < covariance.length; i++) {
-      for (int j = 0; j < covariance[i].length; j++) {
-        covariance[i][j] = Math.sqrt(covariance[i][j])/(data[0].length);
-      }
-    }
-    return covariance;
-  }
-
-
-  public static void addMultInto(double[] a, double[] b, double[] c, double d) {
-    for (int i=0; i<a.length; i++) {
-      a[i] = b[i] + c[i] * d;
-    }
-  }
-
-  public static void multiplyInto(double[] a, double[] b, double c) {
-    for (int i=0; i<a.length; i++) {
-      a[i] = b[i] * c;
-    }
-  }
-  
-  /**
-   * Simulate Arrays.copyOf method provided by Java 6
-   * When/if the JavaNLP-core code base moves past Java 5, this method can be removed
-   *   
-   * @param original
-   * @param newSize
-   */
-  public static double[] copyOf(double[] original, int newSize) {
-     double[] a = new double[newSize];
-     System.arraycopy(original, 0, a, 0, original.length);
-     return a;
-  }
- 
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/math/DoubleAD.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/math/DoubleAD.java
deleted file mode 100644
index e6593c2..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/math/DoubleAD.java
+++ /dev/null
@@ -1,118 +0,0 @@
-package edu.stanford.nlp.math;
-
-/**
- * The class <code>DoubleAD</code> was created to extend the
- * current calculations of gradient to automatically include a calculation of the
- * hessian vector product with another vector <code>v</code>.  This is used with the
- * Stochastic Meta Descent Optimization, but could be extended for use in any application
- * that requires a additional order of differentiation without explicitly creating the code.
- *
- * @author Alex Kleeman
- * @version 2006/12/06
- */
-
-public class DoubleAD extends Number {
-  /**
-   * 
-   */
-  private static final long serialVersionUID = -5702334375099248894L;
-  private double val;
-  private double dot;
-
-
-  public DoubleAD(){
-    setval(0);
-    setdot(1);
-  }
-
-  public DoubleAD(double initVal, double initDot){
-    val = initVal;
-    dot = initDot;
-  }
-
-  public boolean equals(DoubleAD b){
-    if(b.getval() == val && b.getdot() == dot){
-      return true;
-    } else return false;
-  }
-  
-  public boolean equals(double valToCompare,double dotToCompare){
-    if(valToCompare == val && dotToCompare == dot){
-      return true;
-    }else return false;
-  }
-
-  public boolean equals(double valToCompare,double dotToCompare,double TOL){
-    if( Math.abs(valToCompare - val) < TOL && Math.abs(dotToCompare - dot) < TOL){
-      return true;
-    }else return false;
-  }
-
-  public double getval(){
-    return val;
-  }
-
-  public double getdot(){
-    return dot;
-  }
-
-  public void set(double value, double dotValue){
-    val = value;
-    dot = dotValue;
-  }
-
-  public void setval(double a){
-    val = a;
-  }
-
-  public void setdot(double a){
-    dot = a;
-  }
-
-  public void plusEqualsConst(double a){
-    setval(val + a);
-  }
-
-
-
-  public void plusEquals(DoubleAD a){
-    setval(val + a.getval() );
-    setdot(dot + a.getdot() );
-  }
-
-  public void minusEquals(DoubleAD a){
-    setval(val - a.getval() );
-    setdot(dot - a.getdot() );
-  }
-
-  public void minusEqualsConst(double a){
-    setval(val - a);
-  }
-
-
-  @Override
-  public double doubleValue() {
-    return getval();
-  }
-
-  @Override
-  public float floatValue() {
-    return (float) doubleValue();
-  }
-
-  @Override
-  public int intValue() {
-    return (int) doubleValue();
-  }
-
-  @Override
-  public long longValue() {
-    return (long) doubleValue();
-  }
-
-  @Override
-  public String toString() {
-      return "Value= " + val + "; Dot= " + dot;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/math/SloppyMath.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/math/SloppyMath.java
deleted file mode 100644
index 75bf63e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/math/SloppyMath.java
+++ /dev/null
@@ -1,685 +0,0 @@
-package edu.stanford.nlp.math;
-
-import java.util.Collection;
-
-/**
- * The class <code>SloppyMath</code> contains methods for performing basic
- * numeric operations.  In some cases, such as max and min, they cut a few
- * corners in
- * the implementation for the sake of efficiency.  In particular, they may
- * not handle special notions like NaN and -0.0 correctly.  This was the
- * origin of the class name, but many other methods are just useful
- * math additions, such as logSum.  This class just has static math methds.
- *
- * @author Christopher Manning
- * @version 2003/01/02
- */
-public final class SloppyMath {
-
-  private SloppyMath() {}  // this class is just static methods.
-
-  /** Round a double to the nearest integer, via conventional rules
-   *  (.5 rounds up, .49 rounds down), and return the result, still as a double.
-   *
-   *  @param x What to round
-   *  @return The rounded value
-   */
-  public static double round(double x) {
-    return Math.floor(x + 0.5d);
-  }
-
-  /** Round a double to the given number of decimal places,
-   *  rounding to the nearest value via conventional rules (5 rounds up, 49
-   *  rounds down).
-   *  E.g. round(3.1416, 2) == 3.14, round(431.5, -2) == 400,
-   *  round(431.5, 0) = 432
-   */
-  public static double round(double x, int precision) {
-    double power = Math.pow(10.0, precision);
-    return round(x * power) / power;
-  }
-
-  /**
-   * max() that works on three integers.  Like many of the other max() functions in this class,
-   * doesn't perform special checks like NaN or -0.0f to save time.
-   *
-   * @return The maximum of three int values.
-   */
-  public static int max(int a, int b, int c) {
-    int ma;
-    ma = a;
-    if (b > ma) {
-      ma = b;
-    }
-    if (c > ma) {
-      ma = c;
-    }
-    return ma;
-  }
-
-  public static int max(Collection<Integer> vals) {
-    if (vals.isEmpty()) { throw new RuntimeException(); }
-    int max = Integer.MIN_VALUE;
-
-    for (int i : vals) {
-      if (i > max) { max = i; }
-    }
-
-    return max;
-  }
-
-  /**
-   * Returns the greater of two <code>int</code> values.  That
-   * is, the result is the argument closer to positive infinity. If
-   * the arguments have the same value, the result is that same
-   * value.  Does none of the special checks for NaN or -0.0f that
-   * <code>Math.max</code> does.
-   *
-   * @param a an argument.
-   * @param b another argument.
-   * @return the larger of <code>a</code> and <code>b</code>.
-   */
-  public static int max(int a, int b) {
-    return (a >= b) ? a : b;
-  }
-
-  /**
-   * Returns the greater of two <code>float</code> values.  That is,
-   * the result is the argument closer to positive infinity. If the
-   * arguments have the same value, the result is that same
-   * value.  Does none of the special checks for NaN or -0.0f that
-   * <code>Math.max</code> does.
-   *
-   * @param a an argument.
-   * @param b another argument.
-   * @return the larger of <code>a</code> and <code>b</code>.
-   */
-  public static float max(float a, float b) {
-    return (a >= b) ? a : b;
-  }
-
-  /**
-   * Returns the greater of two <code>double</code> values.  That
-   * is, the result is the argument closer to positive infinity. If
-   * the arguments have the same value, the result is that same
-   * value.  Does none of the special checks for NaN or -0.0f that
-   * <code>Math.max</code> does.
-   *
-   * @param a an argument.
-   * @param b another argument.
-   * @return the larger of <code>a</code> and <code>b</code>.
-   */
-  public static double max(double a, double b) {
-    return (a >= b) ? a : b;
-  }
-  
-  /**
-   * Returns the minimum of three int values.
-   */
-  public static int min(int a, int b, int c) {
-    int mi;
-
-    mi = a;
-    if (b < mi) {
-      mi = b;
-    }
-    if (c < mi) {
-      mi = c;
-    }
-    return mi;
-  }
-
-  /**
-   * Returns the smaller of two <code>float</code> values.  That is,
-   * the result is the value closer to negative infinity. If the
-   * arguments have the same value, the result is that same
-   * value.  Does none of the special checks for NaN or -0.0f that
-   * <code>Math.max</code> does.
-   *
-   * @param a an argument.
-   * @param b another argument.
-   * @return the smaller of <code>a</code> and <code>b.</code>
-   */
-  public static float min(float a, float b) {
-    return (a <= b) ? a : b;
-  }
-
-
-  /**
-   * Returns the smaller of two <code>double</code> values.  That
-   * is, the result is the value closer to negative infinity. If the
-   * arguments have the same value, the result is that same
-   * value.  Does none of the special checks for NaN or -0.0f that
-   * <code>Math.max</code> does.
-   *
-   * @param a an argument.
-   * @param b another argument.
-   * @return the smaller of <code>a</code> and <code>b</code>.
-   */
-  public static double min(double a, double b) {
-    return (a <= b) ? a : b;
-  }
-
-  /**
-   * @return an approximation of the log of the Gamma function * of x.  Laczos Approximation
-   * Reference: Numerical Recipes in C
-   * http://www.library.cornell.edu/nr/cbookcpdf.html
-   * from www.cs.berkeley.edu/~milch/blog/versions/blog-0.1.3/blog/distrib
-   */
-  public static double lgamma(double x) {
-    double[] cof = {76.18009172947146, -86.50532032941677,
-      24.01409824083091,-1.231739572450155,
-      0.1208650973866179e-2,-0.5395239384953e-5};
-    double y, ser, tmp;
-    y = x;
-    tmp = x + 5.5;
-    tmp -= ((x + 0.5) * Math.log(tmp));
-    ser = 1.000000000190015;
-    for (int j = 0; j < 6; j += 1) {
-      y += 1;
-      ser += (cof[j] / y);
-    }
-    return (-tmp + Math.log(2.5066282746310005*ser / x));
-  }
-  
-  /**
-   * Returns true if the argument is a "dangerous" double to have
-   * around, namely one that is infinite, NaN or zero.
-   */
-  public static boolean isDangerous(double d) {
-    return Double.isInfinite(d) || Double.isNaN(d) || d == 0.0;
-  }
-
-  /**
-   * Returns true if the argument is a "very dangerous" double to have
-   * around, namely one that is infinite or NaN.
-   */
-  public static boolean isVeryDangerous(double d) {
-    return Double.isInfinite(d) || Double.isNaN(d);
-  }
-
-  public static boolean isCloseTo(double a, double b) {
-    if (a>b) {
-      return (a-b)<1e-4;
-    } else {
-      return (b-a)<1e-4;
-    }
-  }
-
-  /**
-   * If a difference is bigger than this in log terms, then the sum or
-   * difference of them will just be the larger (to 12 or so decimal
-   * places for double, and 7 or 8 for float).
-   */
-  static final double LOGTOLERANCE = 30.0;
-  static final float LOGTOLERANCE_F = 20.0f;
-
-  public static double gamma(double n) {
-    return Math.sqrt(2.0*Math.PI/n) * Math.pow((n/Math.E)*Math.sqrt(n*Math.sinh((1.0/n)+(1/810*Math.pow(n,6)))),n);
-  }
-
-  /**
-   * Convenience method for log to a different base
-   */
-  public static double log(double num, double base) {
-    return Math.log(num)/Math.log(base);
-  }
-
-  /**
-   * Returns the log of the sum of two numbers, which are
-   * themselves input in log form.  This uses natural logarithms.
-   * Reasonable care is taken to do this as efficiently as possible
-   * (under the assumption that the numbers might differ greatly in
-   * magnitude), with high accuracy, and without numerical overflow.
-   * Also, handle correctly the case of arguments being -Inf (e.g.,
-   * probability 0).
-   *
-   * @param lx First number, in log form
-   * @param ly Second number, in log form
-   * @return log(exp(lx) + exp(ly))
-   */
-  public static float logAdd(float lx, float ly) {
-    float max, negDiff;
-    if (lx > ly) {
-      max = lx;
-      negDiff = ly - lx;
-    } else {
-      max = ly;
-      negDiff = lx - ly;
-    }
-    if (max == Double.NEGATIVE_INFINITY) {
-      return max;
-    } else if (negDiff < -LOGTOLERANCE_F) {
-      return max;
-    } else {
-      return max + (float) Math.log(1.0 + Math.exp(negDiff));
-    }
-  }
-
-  /**
-   * Returns the log of the sum of two numbers, which are
-   * themselves input in log form.  This uses natural logarithms.
-   * Reasonable care is taken to do this as efficiently as possible
-   * (under the assumption that the numbers might differ greatly in
-   * magnitude), with high accuracy, and without numerical overflow.
-   * Also, handle correctly the case of arguments being -Inf (e.g.,
-   * probability 0).
-   *
-   * @param lx First number, in log form
-   * @param ly Second number, in log form
-   * @return log(exp(lx) + exp(ly))
-   */
-  public static double logAdd(double lx, double ly) {
-    double max, negDiff;
-    if (lx > ly) {
-      max = lx;
-      negDiff = ly - lx;
-    } else {
-      max = ly;
-      negDiff = lx - ly;
-    }
-    if (max == Double.NEGATIVE_INFINITY) {
-      return max;
-    } else if (negDiff < -LOGTOLERANCE) {
-      return max;
-    } else {
-      return max + Math.log(1.0 + Math.exp(negDiff));
-    }
-  }
-
-  /**
-   * Computes n choose k in an efficient way.  Works with
-   * k == 0 or k == n but undefined if k < 0 or k > n
-   *
-   * @return fact(n) / fact(k) * fact(n-k)
-   */
-  public static int nChooseK(int n, int k) {
-    k = Math.min(k, n - k);
-    if (k == 0) {
-      return 1;
-    }
-    int accum = n;
-    for (int i = 1; i < k; i++) {
-      accum *= (n - i);
-      accum /= i;
-    }
-    return accum / k;
-  }
-
-  /**
-   * Returns an approximation to Math.pow(a,b) that is ~27x faster
-   * with a margin of error possibly around ~10%.  From
-   * http://martin.ankerl.com/2007/10/04/optimized-pow-approximation-for-java-and-c-c/
-   */
-  public static double pow(final double a, final double b) {
-    final int x = (int) (Double.doubleToLongBits(a) >> 32);
-    final int y = (int) (b * (x - 1072632447) + 1072632447);
-    return Double.longBitsToDouble(((long) y) << 32);
-  }
-
-  /**
-   * Exponentiation like we learned in grade school:
-   * multiply b by itself e times.  Uses power of two trick.
-   * e must be nonnegative!!!  no checking!!!  For e &lt;= 0,
-   * the exponent is treated as 0, and 1 is returned.  0^0 also
-   * returns 1.
-   *
-   * @param b base
-   * @param e exponent
-   * @return b^e
-   */
-  public static int intPow(int b, int e) {
-    int result = 1;
-    int currPow = b;
-    while (e > 0) {
-      if ((e & 1) != 0) { result *= currPow; }
-      currPow = currPow * currPow;
-      e >>= 1;
-    }
-    return result;
-  }
-
-  /**
-   * Exponentiation like we learned in grade school:
-   * multiply b by itself e times.  Uses power of two trick.
-   * e must be nonnegative!!!  no checking!!!
-   *
-   * @param b base
-   * @param e exponent
-   * @return b^e
-   */
-  public static float intPow(float b, int e) {
-    float result = 1.0f;
-    float currPow = b;
-    while (e > 0) {
-      if ((e & 1) != 0) { result *= currPow; }
-      currPow = currPow * currPow;
-      e >>= 1;
-    }
-    return result;
-  }
-
-  /**
-   * Exponentiation like we learned in grade school:
-   * multiply b by itself e times.  Uses power of two trick.
-   * e must be nonnegative!!!  no checking!!!
-   * @param b base
-   * @param e exponent
-   * @return b^e
-   */
-  public static double intPow(double b, int e) {
-    double result = 1.0;
-    double currPow = b;
-     while (e > 0) {
-      if ((e & 1) != 0) { result *= currPow; }
-      currPow = currPow * currPow;
-      e >>= 1;
-    }
-    return result;
-  }
-
-  /**
-   * Find a hypergeometric distribution.  This uses exact math, trying
-   * fairly hard to avoid numeric overflow by interleaving
-   * multiplications and divisions.
-   * (To do: make it even better at avoiding overflow, by using loops
-   * that will do either a multiple or divide based on the size of the
-   * intermediate result.)
-   *
-   * @param k The number of black balls drawn
-   * @param n The total number of balls
-   * @param r The number of black balls
-   * @param m The number of balls drawn
-   * @return The hypergeometric value
-   */
-  public static double hypergeometric(int k, int n, int r, int m) {
-    if (k < 0 || r > n || m > n || n <= 0 || m < 0 || r < 0) {
-      throw new IllegalArgumentException("Invalid hypergeometric");
-    }
-
-    // exploit symmetry of problem
-    if (m > n / 2) {
-      m = n - m;
-      k = r - k;
-    }
-    if (r > n / 2) {
-      r = n - r;
-      k = m - k;
-    }
-    if (m > r) {
-      int temp = m;
-      m = r;
-      r = temp;
-    }
-    // now we have that k <= m <= r <= n/2
-
-    if (k < (m + r) - n || k > m) {
-      return 0.0;
-    }
-
-    // Do limit cases explicitly
-    // It's unclear whether this is a good idea.  I put it in fearing
-    // numerical errors when the numbers seemed off, but actually there
-    // was a bug in the Fisher's exact routine.
-    if (r == n) {
-      if (k == m) {
-        return 1.0;
-      } else {
-        return 0.0;
-      }
-    } else if (r == n - 1) {
-      if (k == m) {
-        return (n - m) / (double) n;
-      } else if (k == m - 1) {
-        return m / (double) n;
-      } else {
-        return 0.0;
-      }
-    } else if (m == 1) {
-      if (k == 0) {
-        return (n - r) / (double) n;
-      } else if (k == 1) {
-        return r / (double) n;
-      } else {
-        return 0.0;
-      }
-    } else if (m == 0) {
-      if (k == 0) {
-        return 1.0;
-      } else {
-        return 0.0;
-      }
-    } else if (k == 0) {
-      double ans = 1.0;
-      for (int m0 = 0; m0 < m; m0++) {
-        ans *= ((n - r) - m0);
-        ans /= (n - m0);
-      }
-      return ans;
-    }
-
-    double ans = 1.0;
-    // do (n-r)x...x((n-r)-((m-k)-1))/n x...x (n-((m-k-1)))
-    // leaving rest of denominator to get to multimply by (n-(m-1))
-    // that's k things which goes into next loop
-    for (int nr = n - r, n0 = n; nr > (n - r) - (m - k); nr--, n0--) {
-      // System.out.println("Multiplying by " + nr);
-      ans *= nr;
-      // System.out.println("Dividing by " + n0);
-      ans /= n0;
-    }
-    // System.out.println("Done phase 1");
-    for (int k0 = 0; k0 < k; k0++) {
-      ans *= (m - k0);
-      // System.out.println("Multiplying by " + (m-k0));
-      ans /= ((n - (m - k0)) + 1);
-      // System.out.println("Dividing by " + ((n-(m+k0)+1)));
-      ans *= (r - k0);
-      // System.out.println("Multiplying by " + (r-k0));
-      ans /= (k0 + 1);
-      // System.out.println("Dividing by " + (k0+1));
-    }
-    return ans;
-  }
-
-
-  /**
-   * Find a one tailed exact binomial test probability.  Finds the chance
-   * of this or a higher result
-   *
-   * @param k number of successes
-   * @param n Number of trials
-   * @param p Probability of a success
-   */
-  public static double exactBinomial(int k, int n, double p) {
-    double total = 0.0;
-    for (int m = k; m <= n; m++) {
-      double nChooseM = 1.0;
-      for (int r = 1; r <= m; r++) {
-        nChooseM *= (n - r) + 1;
-        nChooseM /= r;
-      }
-      // System.out.println(n + " choose " + m + " is " + nChooseM);
-      // System.out.println("prob contribution is " +
-      //	       (nChooseM * Math.pow(p, m) * Math.pow(1.0-p, n - m)));
-      total += nChooseM * Math.pow(p, m) * Math.pow(1.0 - p, n - m);
-    }
-    return total;
-  }
-
-
-  /**
-   * Find a one-tailed Fisher's exact probability.  Chance of having seen
-   * this or a more extreme departure from what you would have expected
-   * given independence.  I.e., k >= the value passed in.
-   * Warning: this was done just for collocations, where you are
-   * concerned with the case of k being larger than predicted.  It doesn't
-   * correctly handle other cases, such as k being smaller than expected.
-   *
-   * @param k The number of black balls drawn
-   * @param n The total number of balls
-   * @param r The number of black balls
-   * @param m The number of balls drawn
-   * @return The Fisher's exact p-value
-   */
-  public static double oneTailedFishersExact(int k, int n, int r, int m) {
-    if (k < 0 || k < (m + r) - n || k > r || k > m || r > n || m > n) {
-      throw new IllegalArgumentException("Invalid Fisher's exact: " + "k=" + k + " n=" + n + " r=" + r + " m=" + m + " k<0=" + (k < 0) + " k<(m+r)-n=" + (k < (m + r) - n) + " k>r=" + (k > r) + " k>m=" + (k > m) + " r>n=" + (r > n) + "m>n=" + (m > n));
-    }
-    // exploit symmetry of problem
-    if (m > n / 2) {
-      m = n - m;
-      k = r - k;
-    }
-    if (r > n / 2) {
-      r = n - r;
-      k = m - k;
-    }
-    if (m > r) {
-      int temp = m;
-      m = r;
-      r = temp;
-    }
-    // now we have that k <= m <= r <= n/2
-
-    double total = 0.0;
-    if (k > m / 2) {
-      // sum from k to m
-      for (int k0 = k; k0 <= m; k0++) {
-        // System.out.println("Calling hypg(" + k0 + "; " + n +
-        // 		   ", " + r + ", " + m + ")");
-        total += SloppyMath.hypergeometric(k0, n, r, m);
-      }
-    } else {
-      // sum from max(0, (m+r)-n) to k-1, and then subtract from 1
-      int min = Math.max(0, (m + r) - n);
-      for (int k0 = min; k0 < k; k0++) {
-        // System.out.println("Calling hypg(" + k0 + "; " + n +
-        // 		   ", " + r + ", " + m + ")");
-        total += SloppyMath.hypergeometric(k0, n, r, m);
-      }
-      total = 1.0 - total;
-    }
-    return total;
-  }
-
-  /**
-   * Find a 2x2 chi-square value.
-   * Note: could do this more neatly using simplified formula for 2x2 case.
-   *
-   * @param k The number of black balls drawn
-   * @param n The total number of balls
-   * @param r The number of black balls
-   * @param m The number of balls drawn
-   * @return The Fisher's exact p-value
-   */
-  public static double chiSquare2by2(int k, int n, int r, int m) {
-    int[][] cg = {{k, r - k}, {m - k, n - (k + (r - k) + (m - k))}};
-    int[] cgr = {r, n - r};
-    int[] cgc = {m, n - m};
-    double total = 0.0;
-    for (int i = 0; i < 2; i++) {
-      for (int j = 0; j < 2; j++) {
-        double exp = (double) cgr[i] * cgc[j] / n;
-        total += (cg[i][j] - exp) * (cg[i][j] - exp) / exp;
-      }
-    }
-    return total;
-  }
-
-  /**
-   * Compute the sigmoid function with mean zero.
-   * Care is taken to compute an accurate answer without
-   * numerical overflow. (Added by rajatr)
-   *
-   * @param x Point to compute sigmoid at.
-   * @return Value of the sigmoid, given by 1/(1+exp(-x))
-   */
-  public static double sigmoid(double x) {
-    if (x<0) {
-      double num = Math.exp(x);
-      return num / (1.0 + num);
-    }
-    else {
-      double den = 1.0 + Math.exp(-x);
-      return 1.0 / den;
-    }
-  }
-
-  public static double poisson(int x, double lambda) {
-    if (x<0 || lambda<=0.0) throw new RuntimeException("Bad arguments: " + x + " and " + lambda);
-    double p = (Math.exp(-lambda) * Math.pow(lambda, x)) / factorial(x);
-    if (Double.isInfinite(p) || p<=0.0) throw new RuntimeException(Math.exp(-lambda) +" "+ Math.pow(lambda, x) +" "+ factorial(x));
-    return p;
-  }
-
-  /**
-   * Uses floating point so that it can represent the really big numbers that come up.
-   * @param x Argumet to take factorial of
-   * @return Factorial of argument
-   */
-  public static double factorial(int x) {
-    double result = 1.0;
-    for (int i=x; i>1; i--) {
-      result *= i;
-    }
-    return result;
-  }
-
-  /**
-   * Tests the hypergeometric distribution code, or other functions
-   * provided in this module.
-   *
-   * @param args Either none, and the log add rountines are tested, or the
-   *             following 4 arguments: k (cell), n (total), r (row), m (col)
-   */
-  public static void main(String[] args) {
-    if (args.length == 0) {
-      System.err.println("Usage: java edu.stanford.nlp.math.SloppyMath " + "[-logAdd|-fishers k n r m|-binomial r n p");
-    } else if (args[0].equals("-logAdd")) {
-      System.out.println("Log adds of neg infinity numbers, etc.");
-      System.out.println("(logs) -Inf + -Inf = " + logAdd(Double.NEGATIVE_INFINITY, Double.NEGATIVE_INFINITY));
-      System.out.println("(logs) -Inf + -7 = " + logAdd(Double.NEGATIVE_INFINITY, -7.0));
-      System.out.println("(logs) -7 + -Inf = " + logAdd(-7.0, Double.NEGATIVE_INFINITY));
-      System.out.println("(logs) -50 + -7 = " + logAdd(-50.0, -7.0));
-      System.out.println("(logs) -11 + -7 = " + logAdd(-11.0, -7.0));
-      System.out.println("(logs) -7 + -11 = " + logAdd(-7.0, -11.0));
-      System.out.println("real 1/2 + 1/2 = " + logAdd(Math.log(0.5), Math.log(0.5)));
-    } else if (args[0].equals("-fishers")) {
-      int k = Integer.parseInt(args[1]);
-      int n = Integer.parseInt(args[2]);
-      int r = Integer.parseInt(args[3]);
-      int m = Integer.parseInt(args[4]);
-      double ans = SloppyMath.hypergeometric(k, n, r, m);
-      System.out.println("hypg(" + k + "; " + n + ", " + r + ", " + m + ") = " + ans);
-      ans = SloppyMath.oneTailedFishersExact(k, n, r, m);
-      System.out.println("1-tailed Fisher's exact(" + k + "; " + n + ", " + r + ", " + m + ") = " + ans);
-      double ansChi = SloppyMath.chiSquare2by2(k, n, r, m);
-      System.out.println("chiSquare(" + k + "; " + n + ", " + r + ", " + m + ") = " + ansChi);
-
-      System.out.println("Swapping arguments should give same hypg:");
-      ans = SloppyMath.hypergeometric(k, n, r, m);
-      System.out.println("hypg(" + k + "; " + n + ", " + m + ", " + r + ") = " + ans);
-      int othrow = n - m;
-      int othcol = n - r;
-      int cell12 = m - k;
-      int cell21 = r - k;
-      int cell22 = othrow - (r - k);
-      ans = SloppyMath.hypergeometric(cell12, n, othcol, m);
-      System.out.println("hypg(" + cell12 + "; " + n + ", " + othcol + ", " + m + ") = " + ans);
-      ans = SloppyMath.hypergeometric(cell21, n, r, othrow);
-      System.out.println("hypg(" + cell21 + "; " + n + ", " + r + ", " + othrow + ") = " + ans);
-      ans = SloppyMath.hypergeometric(cell22, n, othcol, othrow);
-      System.out.println("hypg(" + cell22 + "; " + n + ", " + othcol + ", " + othrow + ") = " + ans);
-    } else if (args[0].equals("-binomial")) {
-      int k = Integer.parseInt(args[1]);
-      int n = Integer.parseInt(args[2]);
-      double p = Double.parseDouble(args[3]);
-      double ans = SloppyMath.exactBinomial(k, n, p);
-      System.out.println("Binomial p(X >= " + k + "; " + n + ", " + p + ") = " + ans);
-    } else {
-      System.err.println("Unknown option: " + args[0]);
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/maxent/Convert.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/maxent/Convert.java
deleted file mode 100644
index 9197692..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/maxent/Convert.java
+++ /dev/null
@@ -1,816 +0,0 @@
-/**
- * Title:        StanfordMaxEnt<p>
- * Description:  A Maximum Entropy Toolkit<p>
- * Copyright:    Copyright (c) Kristina Toutanova<p>
- * Company:      Stanford University<p>
- * @author Pavlin Dobrev
- * @version 1.0
- */
-
-package edu.stanford.nlp.maxent;
-
-
-import java.io.*;
-import java.util.Vector;
-
-/**
- * This is used to convert an array of double into byte array which makes it possible to keep it more efficiently.
- */
-public final class Convert {
-
-  private Convert() {}
-
-  static short SHORTFLAG = 0x00ff;
-  static int INTFLAG = 0x000000ff;
-  static long LONGFLAG = 0x00000000000000ff;
-
-  public static final String codeTable = "8859_1";
-
-  public static void main(String[] str) {
-    System.out.println(getEncoding());
-  }
-
-  public static String getEncoding() {
-    String encode = "error";
-    try {
-      OutputStreamWriter output = new OutputStreamWriter(new ByteArrayOutputStream());
-      encode = output.getEncoding();
-      output.close();
-    } catch (Exception e) {
-      e.printStackTrace();
-    }
-    return encode;
-  }
-
-  public static byte[] nativeToAscii(String s) {
-    byte[] res = null;
-    try {
-      res = s.getBytes(codeTable);
-    } catch (java.io.UnsupportedEncodingException e) {
-      throw new RuntimeException(e);
-    }
-    return res;
-  }
-
-  public static String asciiToNative(byte[] b) {
-    String s = null;
-    try {
-      s = new String(b, codeTable);
-    } catch (java.io.UnsupportedEncodingException e) {
-      throw new RuntimeException(e);
-    }
-    return s;
-  }
-
-  public static String asciiToNative(byte[] b, int off, int i) {
-    String s = null;
-    try {
-      s = new String(b, off, i, codeTable);
-    } catch (java.io.UnsupportedEncodingException e) {
-      throw new RuntimeException(e);
-    }
-    return s;
-  }
-
-  public static byte charToAscii(char c) {
-    String temp = String.valueOf(c);
-    byte[] arr = nativeToAscii(temp);
-    return arr[0];
-  }
-
-  public static char asciiToChar(byte b) {
-    byte[] arr = new byte[1];
-    arr[0] = b;
-    String temp = asciiToNative(arr);
-    return temp.charAt(0);
-  }
-
-  public static void writeIntToByteArr(byte[] b, int off, int i) {
-    b[off] = (byte) i;
-    b[off + 1] = (byte) (i >> 8);
-    b[off + 2] = (byte) (i >> 16);
-    b[off + 3] = (byte) (i >> 24);
-  }
-
-  public static void writeLongToByteArr(byte[] b, int off, long l) {
-    for (int i = 0; i < 8; i++) {
-      b[off + i] = (byte) (l >> (8 * i));
-    }
-  }
-
-  public static void writeFloatToByteArr(byte[] b, int off, float f) {
-    int i = Float.floatToIntBits(f);
-    writeIntToByteArr(b, off, i);
-  }
-
-  public static void writeDoubleToByteArr(byte[] b, int off, double d) {
-    long l = Double.doubleToLongBits(d);
-    writeLongToByteArr(b, off, l);
-  }
-
-  public static void writeBooleanToByteArr(byte[] b, int off, boolean bool) {
-    if (bool) {
-      b[off] = 0;
-    } else {
-      b[off] = 1;
-    }
-  }
-
-  public static void writeCharToByteArr(byte[] b, int off, char c) {
-    b[off + 1] = (byte) c;
-    b[off] = (byte) (c >> 8);
-  }
-
-  public static void writeShortToByteArr(byte[] b, int off, short s) {
-    b[off] = (byte) s;
-    b[off + 1] = (byte) (s >> 8);
-  }
-
-  public static void writeUStringToByteArr(byte[] b, int off, String s) {
-    char c;
-    for (int i = 0; i < s.length(); i++) {
-      c = s.charAt(i);
-      b[2 * i + 1 + off] = (byte) c;
-      b[2 * i + off] = (byte) (c >> 8);
-    }
-  }
-
-  public static void writeUStringToByteArr(byte[] b, int off, String s, int pos, int length) {
-    char c;
-    for (int i = pos; i < (pos + length); i++) {
-      c = s.charAt(i);
-      b[2 * i + 1 + off] = (byte) c;
-      b[2 * i + off] = (byte) (c >> 8);
-    }
-  }
-
-  public static void writeAStringToByteArr(byte[] b, int off, String s) {
-    System.arraycopy(s.getBytes(), 0, b, off, s.length());
-  }
-
-  public static void writeAStringToByteArr(byte[] b, int off, String s, int pos, int length) {
-    String sub = s.substring(pos, pos + length);
-    writeAStringToByteArr(b, off, sub);
-  }
-
-  //-------------------------------------------------------------------
-
-  public static int byteArrToInt(byte[] b, int off) {
-    int z = 0;
-    for (int i = 3; i > 0; i--) {
-      z = (z | (b[off + i] & INTFLAG)) << 8;
-    }
-    z = z | (b[off] & INTFLAG);
-    return z;
-  }
-
-  public static short byteArrToShort(byte[] b, int off) {
-    short s = (short) (((0 | (b[off + 1] & SHORTFLAG)) << 8) | (b[off] & SHORTFLAG));
-    return s;
-  }
-
-  public static float byteArrToFloat(byte[] b, int off) {
-    int i = byteArrToInt(b, off);
-    return Float.intBitsToFloat(i);
-  }
-
-  public static double byteArrToDouble(byte[] b, int off) {
-    long l = byteArrToLong(b, off);
-    return Double.longBitsToDouble(l);
-  }
-
-  public static long byteArrToLong(byte[] b, int off) {
-    long z = 0;
-    for (int i = 7; i > 0; i--) {
-      z = (z | (b[off + i] & LONGFLAG)) << 8;
-    }
-    z = z | (b[off] & LONGFLAG);
-    return z;
-  }
-
-  public static boolean byteArrToBoolean(byte[] b, int off) {
-    if (b[off] == 0) {
-      return true;
-    } else {
-      return false;
-    }
-  }
-
-  public static char byteArrToChar(byte[] b, int off) {
-    char c = (char) ((b[off] << 8) | b[off + 1]);
-    return c;
-  }
-
-  public static String byteArrToUString(byte[] b) {
-    String s;
-    if (b.length == 0) {
-      s = new String();
-    } else {
-      int j;
-      char c[] = new char[b.length / 2];
-      for (int i = 0; i < (b.length / 2); i++) {
-        j = (b[2 * i] << 8) | b[2 * i + 1];
-        c[i] = (char) j;
-      }
-      s = new String(c);
-    }
-    return s;
-  }
-
-  public static String byteArrToUString(byte[] b, int off, int strLen) {
-    String s;
-    if (strLen == 0) {
-      s = new String();
-    } else {
-      int j;
-      char c[] = new char[strLen];
-      for (int i = 0; i < strLen; i++) {
-        j = (b[2 * i + off] << 8) | b[2 * i + 1 + off];
-        c[i] = (char) j;
-      }
-      s = new String(c);
-    }
-    return s;
-  }
-
-  public static String byteArrToAString(byte[] b) {
-    return new String(b);
-  }
-
-  public static String byteArrToAString(byte[] b, int off, int length) {
-    if (length == 0) {
-      return new String();
-    } else {
-      return new String(b, off, length);
-    }
-  }
-
-  //-----------------------------------------------------------------
-
-  public static byte[] stringUToByteArr(String s) {
-    char c;
-    byte[] b = new byte[2 * s.length()];
-    for (int i = 0; i < s.length(); i++) {
-      c = s.charAt(i);
-      b[2 * i + 1] = (byte) c;
-      b[2 * i] = (byte) (c >> 8);
-    }
-    return b;
-  }
-
-  public static byte[] stringAToByteArr(String s) {
-    return s.getBytes();
-  }
-
-  //-----------------------------------------------------------------
-
-  public static byte[] intArrToByteArr(int[] i) {
-    return intArrToByteArr(i, 0, i.length);
-  }
-
-  public static byte[] intArrToByteArr(int[] i, int off, int length) {
-    byte[] y = new byte[4 * length];
-    for (int j = off; j < (off + length); j++) {
-      y[4 * (j - off)] = (byte) i[j];
-      y[4 * (j - off) + 1] = (byte) (i[j] >> 8);
-      y[4 * (j - off) + 2] = (byte) (i[j] >> 16);
-      y[4 * (j - off) + 3] = (byte) (i[j] >> 24);
-    }
-    return y;
-  }
-
-  public static void intArrToByteArr(byte[] b, int pos, int[] i, int off, int len) {
-    for (int j = off; j < (off + len); j++) {
-      b[4 * (j - off) + pos] = (byte) i[j];
-      b[4 * (j - off) + 1 + pos] = (byte) (i[j] >> 8);
-      b[4 * (j - off) + 2 + pos] = (byte) (i[j] >> 16);
-      b[4 * (j - off) + 3 + pos] = (byte) (i[j] >> 24);
-    }
-  }
-
-  public static byte[] longArrToByteArr(long[] l) {
-    return longArrToByteArr(l, 0, l.length);
-  }
-
-  public static byte[] longArrToByteArr(long[] l, int off, int length) {
-    byte[] b = new byte[8 * length];
-    for (int j = off; j < (off + length); j++) {
-      for (int i = 0; i < 8; i++) {
-        b[8 * (j - off) + i] = (byte) (l[j] >> (8 * i));
-      }
-    }
-    return b;
-  }
-
-  public static void longArrToByteArr(byte[] b, int pos, long[] l, int off, int length) {
-    for (int j = off; j < (off + length); j++) {
-      for (int i = 0; i < 8; i++) {
-        b[8 * (j - off) + i + pos] = (byte) (l[j] >> (8 * i));
-      }
-    }
-  }
-
-  public static byte[] booleanArrToByteArr(boolean[] b) {
-    return booleanArrToByteArr(b, 0, b.length);
-  }
-
-  public static byte[] booleanArrToByteArr(boolean[] b, int off, int len) {
-    byte[] bytes = new byte[len];
-    for (int i = 0; i < len; i++) {
-      if (b[i]) {
-        bytes[i] = 0;
-      } else {
-        bytes[i] = 1;
-      }
-    }
-    return bytes;
-  }
-
-  public static void booleanArrToByteArr(byte[] bytes, int pos, boolean[] b, int off, int length) {
-    for (int i = 0; i < length; i++) {
-      if (b[i]) {
-        bytes[i + pos] = 0;
-      } else {
-        bytes[i + pos] = 1;
-      }
-    }
-  }
-
-  public static byte[] charArrToByteArr(char[] c) {
-    return charArrToByteArr(c, 0, c.length);
-  }
-
-  public static byte[] charArrToByteArr(char[] c, int off, int len) {
-    byte[] b = new byte[len * 2];
-    for (int i = 0; i < len; i++) {
-      b[2 * i + 1] = (byte) c[off + i];
-      b[2 * i] = (byte) (c[off + i] >> 8);
-    }
-    return b;
-  }
-
-  public static void charArrToByteArr(byte[] b, int pos, char[] c, int off, int len) {
-    for (int i = 0; i < len; i++) {
-      b[2 * i + 1 + pos] = (byte) c[off + i];
-      b[2 * i + pos] = (byte) (c[off + i] >> 8);
-    }
-  }
-
-  public static byte[] floatArrToByteArr(float[] f) {
-    return floatArrToByteArr(f, 0, f.length);
-  }
-
-  public static byte[] floatArrToByteArr(float[] f, int off, int length) {
-    byte[] y = new byte[4 * length];
-    int i;
-    for (int j = off; j < (off + length); j++) {
-      i = Float.floatToIntBits(f[j]);
-      y[4 * (j - off)] = (byte) i;
-      y[4 * (j - off) + 1] = (byte) (i >> 8);
-      y[4 * (j - off) + 2] = (byte) (i >> 16);
-      y[4 * (j - off) + 3] = (byte) (i >> 24);
-    }
-    return y;
-  }
-
-  public static void floatArrToByteArr(byte[] b, int pos, float[] f, int off, int len) {
-    int i;
-    for (int j = off; j < (off + len); j++) {
-      i = Float.floatToIntBits(f[j]);
-      b[4 * (j - off) + pos] = (byte) i;
-      b[4 * (j - off) + 1 + pos] = (byte) (i >> 8);
-      b[4 * (j - off) + 2 + pos] = (byte) (i >> 16);
-      b[4 * (j - off) + 3 + pos] = (byte) (i >> 24);
-    }
-  }
-
-  public static byte[] doubleArrToByteArr(double[] d) {
-    return doubleArrToByteArr(d, 0, d.length);
-  }
-
-  public static byte[] doubleArrToByteArr(double[] d, int off, int length) {
-    byte[] b = new byte[8 * length];
-    long l;
-    for (int j = off; j < (off + length); j++) {
-      l = Double.doubleToLongBits(d[j]);
-      for (int i = 0; i < 8; i++) {
-        b[8 * (j - off) + i] = (byte) (l >> (8 * i));
-      }
-    }
-    return b;
-  }
-
-  public static void doubleArrToByteArr(byte[] b, int pos, double[] d, int off, int length) {
-    long l;
-    for (int j = off; j < (off + length); j++) {
-      l = Double.doubleToLongBits(d[j]);
-      for (int i = 0; i < 8; i++) {
-        b[8 * (j - off) + i + pos] = (byte) (l >> (8 * i));
-      }
-    }
-  }
-
-  public static byte[] shortArrToByteArr(short[] s) {
-    return shortArrToByteArr(s, 0, s.length);
-  }
-
-  public static byte[] shortArrToByteArr(short[] s, int off, int length) {
-    byte[] y = new byte[2 * length];
-    for (int j = off; j < (off + length); j++) {
-      y[4 * (j - off)] = (byte) s[j];
-      y[4 * (j - off) + 1] = (byte) (s[j] >> 8);
-    }
-    return y;
-  }
-
-  public static void shortArrToByteArr(byte[] b, int pos, short[] s, int off, int len) {
-    for (int j = off; j < (off + len); j++) {
-      b[4 * (j - off) + pos] = (byte) s[j];
-      b[4 * (j - off) + 1 + pos] = (byte) (s[j] >> 8);
-    }
-  }
-
-  public static byte[] uStringArrToByteArr(String[] s) {
-    return uStringArrToByteArr(s, 0, s.length);
-  }
-
-  public static byte[] uStringArrToByteArr(String[] s, int off, int length) {
-    int byteOff = 0;
-    int byteCount = 0;
-    for (int i = off; i < (off + length); i++) {
-      if (s[i] != null) {
-        byteCount += 2 * s[i].length();
-      }
-    }
-    byte[] b = new byte[byteCount + 4 * s.length];
-    for (int i = off; i < (off + length); i++) {
-      if (s[i] != null) {
-        writeIntToByteArr(b, byteOff, s[i].length());
-        byteOff += 4;
-        writeUStringToByteArr(b, byteOff, s[i]);
-        byteOff += 2 * s[i].length();
-      } else {
-        writeIntToByteArr(b, byteOff, 0);
-        byteOff += 4;
-      }
-    }
-    return b;
-  }
-
-  public static void uStringArrToByteArr(byte[] b, int pos, String[] s, int off, int length) {
-    for (int i = off; i < (off + length); i++) {
-      if (s[i] != null) {
-        writeIntToByteArr(b, pos, s[i].length());
-        pos += 4;
-        writeUStringToByteArr(b, pos, s[i]);
-        pos += 2 * s[i].length();
-      } else {
-        writeIntToByteArr(b, pos, 0);
-        pos += 4;
-      }
-    }
-  }
-
-  public static byte[] aStringArrToByteArr(String[] s) {
-    return aStringArrToByteArr(s, 0, s.length);
-  }
-
-  public static byte[] aStringArrToByteArr(String[] s, int off, int length) {
-    int byteOff = 0;
-    int byteCount = 0;
-    for (int i = off; i < (off + length); i++) {
-      if (s[i] != null) {
-        byteCount += s[i].length();
-      }
-    }
-    byte[] b = new byte[byteCount + 4 * s.length];
-    for (int i = off; i < (off + length); i++) {
-      if (s[i] != null) {
-        writeIntToByteArr(b, byteOff, s[i].length());
-        byteOff += 4;
-        writeAStringToByteArr(b, byteOff, s[i]);
-        byteOff += s[i].length();
-      } else {
-        writeIntToByteArr(b, byteOff, 0);
-        byteOff += 4;
-      }
-    }
-    return b;
-  }
-
-  public static void aStringArrToByteArr(byte[] b, int pos, String[] s, int off, int length) {
-    for (int i = off; i < (off + length); i++) {
-      if (s[i] != null) {
-        writeIntToByteArr(b, pos, s[i].length());
-        pos += 4;
-        writeAStringToByteArr(b, pos, s[i]);
-        pos += s[i].length();
-      } else {
-        writeIntToByteArr(b, pos, 0);
-        pos += 4;
-      }
-    }
-  }
-
-  //-----------------------------------------------------------------
-
-  public static int[] byteArrToIntArr(byte[] b) {
-    return byteArrToIntArr(b, 0, b.length / 4);
-  }
-
-  public static int[] byteArrToIntArr(byte[] b, int off, int length) {
-    int[] z = new int[length];
-    for (int i = 0; i < length; i++) {
-      z[i] = 0;
-      for (int j = 3; j > 0; j--) {
-        z[i] = (z[i] | (b[off + j + 4 * i] & INTFLAG)) << 8;
-      }
-      z[i] = z[i] | (b[off + 4 * i] & INTFLAG);
-    }
-    return z;
-  }
-
-  public static void byteArrToIntArr(byte[] b, int off, int[] i, int pos, int length) {
-    for (int j = 0; j < length; j++) {
-      i[j + pos] = 0;
-      for (int k = 3; k > 0; k--) {
-        i[j + pos] = (i[j + pos] | (b[off + k + 4 * j] & INTFLAG)) << 8;
-      }
-      i[j + pos] = i[j + pos] | (b[off + 4 * j] & INTFLAG);
-    }
-  }
-
-  public static long[] byteArrToLongArr(byte[] b) {
-    return byteArrToLongArr(b, 0, b.length / 8);
-  }
-
-  public static long[] byteArrToLongArr(byte[] b, int off, int length) {
-    long[] l = new long[length];
-    for (int i = 0; i < length; i++) {
-      l[i] = 0;
-      for (int j = 0; j < 8; j++) {
-        l[i] = l[i] | ((b[8 * i + j + off] & 0x000000ff) << (8 * j));
-      }
-    }
-    return l;
-  }
-
-  public static void byteArrToLongArr(byte[] b, int off, long[] l, int pos, int length) {
-    for (int i = 0; i < length; i++) {
-      l[i + pos] = 0;
-      for (int j = 0; j < 8; j++) {
-        l[i + pos] = l[i + pos] | ((b[8 * i + j + off] & 0x000000ff) << (8 * j));
-      }
-    }
-  }
-
-  public static boolean[] byteArrToBooleanArr(byte[] b) {
-    return byteArrToBooleanArr(b, 0, b.length);
-  }
-
-  public static boolean[] byteArrToBooleanArr(byte[] b, int off, int length) {
-    boolean[] bool = new boolean[length];
-    for (int i = 0; i < length; i++) {
-      if (b[i + off] == 0) {
-        bool[i] = true;
-      } else {
-        bool[i] = false;
-      }
-    }
-    return bool;
-  }
-
-  public static void byteArrToBooleanArr(byte[] b, int off, boolean[] bool, int pos, int length) {
-    for (int i = 0; i < length; i++) {
-      if (b[i + off] == 0) {
-        bool[i + pos] = true;
-      } else {
-        bool[i + pos] = false;
-      }
-    }
-  }
-
-  public static char[] byteArrToCharArr(byte[] b) {
-    return byteArrToCharArr(b, 0, b.length / 2);
-  }
-
-  public static char[] byteArrToCharArr(byte[] b, int off, int length) {
-    char[] c = new char[length];
-    for (int i = 0; i < (length); i++) {
-      c[i] = (char) ((b[2 * i + off] << 8) | b[2 * i + 1 + off]);
-    }
-    return c;
-  }
-
-  public static void byteArrToCharArr(byte[] b, int off, char[] c, int pos, int length) {
-    for (int i = 0; i < (length); i++) {
-      c[i + pos] = (char) ((b[2 * i + off] << 8) | b[2 * i + 1 + off]);
-    }
-  }
-
-  public static short[] byteArrToShortArr(byte[] b) {
-    return byteArrToShortArr(b, 0, b.length / 2);
-  }
-
-  public static short[] byteArrToShortArr(byte[] b, int off, int length) {
-    short[] z = new short[length];
-    for (int i = 0; i < length; i++) {
-      z[i] = (short) (((0 | (b[off + 1 + 2 * i] & SHORTFLAG)) << 8) | (b[off + 2 * i] & SHORTFLAG));
-    }
-    return z;
-  }
-
-  public static void byteArrToShortArr(byte[] b, int off, short[] s, int pos, int length) {
-    for (int i = 0; i < length; i++) {
-      s[i + pos] = (short) (((0 | (b[off + 1 + 2 * i] & SHORTFLAG)) << 8) | (b[off + 2 * i] & SHORTFLAG));
-    }
-  }
-
-  public static float[] byteArrToFloatArr(byte[] b) {
-    return byteArrToFloatArr(b, 0, b.length / 4);
-  }
-
-  public static float[] byteArrToFloatArr(byte[] b, int off, int length) {
-    float[] z = new float[length];
-    for (int i = 0; i < length; i++) {
-      int k = 0;
-      for (int j = 3; j > 0; j--) {
-        k = (k | (b[off + j + 4 * i] & INTFLAG)) << 8;
-      }
-      k = k | (b[off + 4 * i] & INTFLAG);
-      z[i] = Float.intBitsToFloat(k);
-    }
-    return z;
-  }
-
-  public static void byteArrToFloatArr(byte[] b, int off, float[] f, int pos, int length) {
-    for (int i = 0; i < length; i++) {
-      int k = 0;
-      for (int j = 3; j > 0; j--) {
-        k = (k | (b[off + j + 4 * i] & INTFLAG)) << 8;
-      }
-      k = k | (b[off + 4 * i] & INTFLAG);
-      f[pos + i] = Float.intBitsToFloat(k);
-    }
-  }
-
-  /** This method allocates a new double[] to return, based on the size of
-   *  the array b (namely b.length / 8 in size)
-   * @param b Array to decode to doubles
-   * @return Array of doubles.
-   */
-  public static double[] byteArrToDoubleArr(byte[] b) {
-    return byteArrToDoubleArr(b, 0, b.length / 8);
-  }
-
-  public static double[] byteArrToDoubleArr(byte[] b, int off, int length) {
-    double[] d = new double[length];
-    for (int i = 0; i < length; i++) {
-      long l = 0;
-      for (int j = 0; j < 8; j++) {
-        l = l | ((long) (b[8 * i + j + off] & 0x00000000000000ff) << (8 * j));
-      }
-      d[i] = Double.longBitsToDouble(l);
-    }
-    return d;
-  }
-
-  public static void byteArrToDoubleArr(byte[] b, int off, double[] d, int pos, int length) {
-    for (int i = 0; i < length; i++) {
-      long l = 0;
-      for (int j = 0; j < 8; j++) {
-        l = l | ((long) (b[8 * i + j + off] & 0x00000000000000ff) << (8 * j));
-      }
-      d[pos + i] = Double.longBitsToDouble(l);
-    }
-  }
-
-  public static String[] byteArrToUStringArr(byte[] b) {
-    int off = 0;
-    Vector<String> v = new Vector<String>();
-    int length;
-    while (off < b.length) {
-      length = byteArrToInt(b, off);
-      if (length != 0) {
-        v.addElement(byteArrToUString(b, off + 4, length));
-      } else {
-        v.addElement(new String(""));
-      }
-      off = off + 2 * length + 4;
-    }
-    String[] s = new String[v.size()];
-    for (int i = 0; i < s.length; i++) {
-      s[i] = v.elementAt(i);
-    }
-    return s;
-  }
-
-  public static String[] byteArrToUStringArr(byte[] b, int off, int length) {
-    String[] s = new String[length];
-    int stringLen;
-    for (int i = 0; i < length; i++) {
-      stringLen = byteArrToInt(b, off);
-      off += 4;
-      if (stringLen != 0) {
-        s[i] = byteArrToUString(b, off, stringLen);
-        off += 2 * s[i].length();
-      } else {
-        s[i] = new String("");
-      }
-    }
-    return s;
-  }
-
-  public static void byteArrToUStringArr(byte[] b, int off, String[] s, int pos, int length) {
-    int stringLen;
-    for (int i = 0; i < length; i++) {
-      stringLen = byteArrToInt(b, off);
-      off += 4;
-      if (stringLen != 0) {
-        s[i + pos] = byteArrToUString(b, off, stringLen);
-        off += 2 * s[i].length();
-      } else {
-        s[i] = new String("");
-      }
-    }
-  }
-
-  public static String[] byteArrToAStringArr(byte[] b) {
-    int off = 0;
-    Vector<String> v = new Vector<String>();
-    int length;
-    while (off < b.length) {
-      length = byteArrToInt(b, off);
-      if (length != 0) {
-        v.addElement(byteArrToAString(b, off + 4, length));
-      } else {
-        v.addElement(new String(""));
-      }
-      off = off + length + 4;
-    }
-    String[] s = new String[v.size()];
-    for (int i = 0; i < s.length; i++) {
-      s[i] = v.elementAt(i);
-    }
-    return s;
-  }
-
-  public static String[] byteArrToAStringArr(byte[] b, int off, int length) {
-    String[] s = new String[length];
-    int stringLen;
-    for (int i = 0; i < length; i++) {
-      stringLen = byteArrToInt(b, off);
-      off += 4;
-      if (stringLen != 0) {
-        s[i] = byteArrToAString(b, off, stringLen);
-        off += s[i].length();
-      } else {
-        s[i] = new String("");
-      }
-    }
-    return s;
-  }
-
-  public static void byteArrToAStringArr(byte[] b, int off, String[] s, int pos, int length) {
-    int stringLen;
-    for (int i = 0; i < length; i++) {
-      stringLen = byteArrToInt(b, off);
-      off += 4;
-      if (stringLen != 0) {
-        s[i + pos] = byteArrToAString(b, off, stringLen);
-        off += s[i].length();
-      } else {
-        s[i] = new String("");
-      }
-    }
-  }
-
-  public static void saveDoubleArr(DataOutputStream rf, double[] arr) throws IOException {
-    rf.writeInt(arr.length);
-    byte[] lArr = doubleArrToByteArr(arr);
-    rf.write(lArr);
-    rf.close();
-  }
-
-  public static void saveFloatArr(DataOutputStream rf, float[] arr) throws IOException {
-    rf.writeInt(arr.length);
-    byte[] lArr = floatArrToByteArr(arr);
-    rf.write(lArr);
-    rf.close();
-  }
-
-  public static double[] readDoubleArr(DataInputStream rf) throws IOException {
-    int size = rf.readInt();
-    byte[] b = new byte[8 * size];
-    rf.read(b);
-    return byteArrToDoubleArr(b);
-  }
-
-  public static float[] readFloatArr(DataInputStream rf) throws IOException {
-    int size = rf.readInt();
-    byte[] b = new byte[4 * size];
-    rf.read(b);
-    return byteArrToFloatArr(b);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/movetrees/EmptyTreeLeaf.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/movetrees/EmptyTreeLeaf.java
deleted file mode 100644
index cfeeee0..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/movetrees/EmptyTreeLeaf.java
+++ /dev/null
@@ -1,137 +0,0 @@
-package edu.stanford.nlp.movetrees;
-
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.LabeledWord;
-import edu.stanford.nlp.ling.StringLabel;
-import edu.stanford.nlp.trees.LabeledScoredTreeFactory;
-import edu.stanford.nlp.trees.LabeledScoredTreeNode;
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.TreeFactory;
-
-import java.util.List;
-
-
-/**
- * @author Roger Levy
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (Templatization)
- *
- * @param <EmptyType> 
- */
-
-public class EmptyTreeLeaf<EmptyType> extends LabeledScoredTreeNode implements HasTrace {
-
-  /**
-   * 
-   */
-  private static final long serialVersionUID = 77798427030716852L;
-
-  static final String STANDIN = "standin";
-
-  private Tree movedTree;
-  private EmptyType emptyType;
-
-
-  public EmptyType emptyType() {
-    return emptyType;
-  }
-
-  public void setEmptyType(EmptyType o) {
-    emptyType = o;
-  }
-
-  public Tree traceTo() {
-    return movedTree;
-  }
-
-  public void setTraceTo(Tree t) {
-    movedTree = t;
-  }
-
-
-  /**
-   * A <code>EmptyTreeLeaf</code> is invisible in the yield
-   */
-  @Override
-  public <T> List<T> yield(List<T> y) {
-    return y;
-  }
-
-  /**
-   * A <code>EmptyTreeLeaf</code> is invisible in the tagged yield
-   */
-  @Override
-  public List<LabeledWord> labeledYield(List<LabeledWord> y) {
-    return y;
-  }
-
-  /**
-   * prints the trace, plus the label and the yield of the pointed-to
-   * constituent
-   */
-  @Override
-  public String toString() {
-    String str = label().toString() + "_" + emptyType().toString();
-    if (traceTo() != null) {
-      if (traceTo().dominates(this)) // error-checking
-      {
-        System.err.println("Warning -- trace points to self-dominating node");
-      }
-      str = str + "[" + traceTo().label() + " " + traceTo().yield() + "]";
-    }
-    return str;
-  }
-
-  /**
-   * major yuk here. Reproduces the emptyType and traceTo from the
-   * leaf out of which the treeFactory is vended.
-   */
-  @Override
-  public TreeFactory treeFactory() {
-    return new TreeFactory() {
-      TreeFactory lstf = new LabeledScoredTreeFactory();
-
-      public Tree newLeaf(Label l) {
-        return new EmptyTreeLeaf<EmptyType>(l, emptyType(), traceTo());
-      }
-
-      public Tree newLeaf(String str) {
-        return new EmptyTreeLeaf<EmptyType>(new StringLabel(str), emptyType(), traceTo());
-      }
-
-      public Tree newTreeNode(Label l, List<Tree> kids) {
-        return lstf.newTreeNode(l, kids);
-      }
-
-      public Tree newTreeNode(String str, List<Tree> kids) {
-        return lstf.newTreeNode(str, kids);
-      }
-
-
-    };
-  }
-
-  /**
-   * Create a leaf parse tree with given word.
-   *
-   * @param label the <code>Label</code> representing the <i>word</i> for
-   *              this new tree leaf.
-   * @param t     the antecedent returned by {@link #traceTo()}
-   */
-  public EmptyTreeLeaf(Label label, EmptyType type, Tree t) {
-    this(label, type);
-    movedTree = t;
-  }
-
-  /**
-   * Create a leaf parse tree with given word.
-   *
-   * @param label the <code>Label</code> representing the <i>word</i> for
-   *              this new tree leaf.
-   */
-  public EmptyTreeLeaf(Label label, EmptyType type) {
-    super(label);
-    emptyType = type;
-    movedTree = null;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/movetrees/HasTrace.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/movetrees/HasTrace.java
deleted file mode 100644
index 986df32..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/movetrees/HasTrace.java
+++ /dev/null
@@ -1,9 +0,0 @@
-package edu.stanford.nlp.movetrees;
-
-import edu.stanford.nlp.trees.Tree;
-
-interface HasTrace {
-
-  public Tree traceTo();
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/DelimitRegExIterator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/DelimitRegExIterator.java
deleted file mode 100644
index 4d6fd70..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/DelimitRegExIterator.java
+++ /dev/null
@@ -1,163 +0,0 @@
-package edu.stanford.nlp.objectbank;
-
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.util.AbstractIterator;
-
-import java.io.BufferedReader;
-import java.io.Reader;
-import java.io.StringReader;
-import java.io.Serializable;
-import java.util.*;
-import java.util.regex.Pattern;
-import java.util.regex.Matcher;
-
-/**
- * An Iterator that reads the contents of a Reader, delimited by the specified
- * delimiter, and then be subsequently processed by an Function to produce
- * Objects of type T.
- *
- * @author Jenny Finkel <A HREF="mailto:jrfinkel@stanford.edu>jrfinkel@stanford.edu</A>
- * @param <T> The type of the objects returned
- */
-public class DelimitRegExIterator<T> extends AbstractIterator<T> {
-
-  private Iterator<String> tokens;
-  private final Function<String,T> op;
-  private T nextToken; // = null;
-
-  //TODO: not sure if this is the best way to name things...
-  public static DelimitRegExIterator<String> defaultDelimitRegExIterator(Reader in, String delimiter) {
-    return new DelimitRegExIterator<String>(in, delimiter, new IdentityFunction<String>());
-  }
-
-  public DelimitRegExIterator(Reader r, String delimiter, Function<String,T> op) {
-    this.op = op;
-    BufferedReader in = new BufferedReader(r);
-    try {
-      String line;
-      StringBuilder input = new StringBuilder();
-      while ((line = in.readLine()) != null) {
-        input.append(line).append("\n");
-      }
-      line = input.toString();
-      Pattern p = Pattern.compile("^"+delimiter);
-      Matcher m = p.matcher(line);
-      line = m.replaceAll("");
-      p = Pattern.compile(delimiter+"$");
-      m = p.matcher(line);
-      line = m.replaceAll("");
-      line = line.trim();
-
-      tokens = Arrays.asList(line.split(delimiter)).iterator();
-    } catch (Exception e) {
-    }
-    setNext();
-  }
-
-  private void setNext() {
-    if (tokens.hasNext()) {
-      String s = tokens.next();
-      nextToken = parseString(s);
-    } else {
-      nextToken = null;
-    }
-  }
-
-  protected T parseString(String s) {
-    return op.apply(s);
-  }
-
-  @Override
-  public boolean hasNext() {
-    return nextToken != null;
-  }
-
-  @Override
-  public T next() {
-    if (nextToken == null) {
-      throw new NoSuchElementException("DelimitRegExIterator exhausted");
-    }
-    T token = nextToken;
-    setNext();
-    return token;
-  }
-
-  public Object peek() {
-    return nextToken;
-  }
-
-  /**
-   * Returns a factory that vends DelimitRegExIterators that read the contents of the
-   * given Reader, splits on the specified delimiter, then returns the result.
-   */
-  public static IteratorFromReaderFactory<String> getFactory(String delim) {
-    return DelimitRegExIteratorFactory.defaultDelimitRegExIteratorFactory(delim);
-  }
-
-  /**
-   * Returns a factory that vends DelimitRegExIterators that reads the contents of the
-   * given Reader, splits on the specified delimiter, then returns the result.
-   */
-  public static IteratorFromReaderFactory<String> getFactory(String delim, boolean eolIsSignificant) {
-    return DelimitRegExIteratorFactory.defaultDelimitRegExIteratorFactory(delim, eolIsSignificant);
-  }
-
-  /**
-   * Returns a factory that vends DelimitRegExIterators that reads the contents of the
-   * given Reader, splits on the specified delimiter, applies op, then returns the result.
-   */
-  public static <T> IteratorFromReaderFactory<T> getFactory(String delim, Function<String,T> op) {
-    return new DelimitRegExIteratorFactory<T>(delim, op);
-  }
-
-  /**
-   * Returns a factory that vends DelimitRegExIterators that reads the contents of the
-   * given Reader, splits on the specified delimiter, applies op, then returns the result.
-   */
-  public static <T> IteratorFromReaderFactory<T> getFactory(String delim, Function<String,T> op, boolean eolIsSignificant) {
-    return new DelimitRegExIteratorFactory<T>(delim, op, eolIsSignificant);
-  }
-
-  public static class DelimitRegExIteratorFactory<T> implements IteratorFromReaderFactory<T>, Serializable {
-
-    private static final long serialVersionUID = 6846060575832573082L;
-
-    private final String delim;
-    private final Function<String,T> op;
-    // seems to be an actual problem. DO NOT REMOVE! -- dlwh TODO
-    @SuppressWarnings("unused")
-    private final boolean eolIsSignificant;
-
-    public static DelimitRegExIteratorFactory<String> defaultDelimitRegExIteratorFactory(String delim) {
-      return new DelimitRegExIteratorFactory<String>(delim, new IdentityFunction<String>());
-    }
-
-    public static DelimitRegExIteratorFactory<String> defaultDelimitRegExIteratorFactory(String delim, boolean eolIsSignificant) {
-      return new DelimitRegExIteratorFactory<String>(delim, new IdentityFunction<String>(), eolIsSignificant);
-    }
-
-    public DelimitRegExIteratorFactory(String delim, Function<String,T> op) {
-      this(delim, op, true);
-    }
-
-    public DelimitRegExIteratorFactory(String delim, Function<String,T> op, boolean eolIsSignificant) {
-      this.delim = delim;
-      this.op = op;
-      this.eolIsSignificant = eolIsSignificant;
-    }
-
-    public Iterator<T> getIterator(Reader r) {
-      return new DelimitRegExIterator<T>(r, delim, op);
-    }
-
-  }
-
-  public static void main(String[] args) {
-    String s = "@@123\nthis\nis\na\nsentence\n\n@@124\nThis\nis\nanother\n.\n\n@125\nThis\nis\nthe\nlast\n";
-    DelimitRegExIterator<String> di = DelimitRegExIterator.defaultDelimitRegExIterator(new StringReader(s), "\n\n");
-    while (di.hasNext()) {
-      System.out.println("****\n" + di.next() + "\n****");
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/IdentityFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/IdentityFunction.java
deleted file mode 100644
index d2b473e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/IdentityFunction.java
+++ /dev/null
@@ -1,20 +0,0 @@
-package edu.stanford.nlp.objectbank;
-
-import edu.stanford.nlp.util.Function;
-
-
-/** An Identity function that returns its argument.
- * 
- *  @author Jenny Finkel
- */
-public class IdentityFunction<X> implements Function<X, X> {
-
-  /**
-   * @param o The Object to be returned
-   * @return o
-   */
-  public X apply(X o) {
-    return o;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/IteratorFromReaderFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/IteratorFromReaderFactory.java
deleted file mode 100644
index 8109984..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/IteratorFromReaderFactory.java
+++ /dev/null
@@ -1,21 +0,0 @@
-package edu.stanford.nlp.objectbank;
-
-import java.util.Iterator;
-
-/**
- * An IteratorFromReaderFactory is used to convert a java.io.Reader
- * into an Iterator over the Objects of type T represented by the text
- * in the java.io.Reader.
- *
- * @author Jenny Finkel
- */
-public interface IteratorFromReaderFactory<T> {
-
-  /** Return an iterator over the contents read from r.
-   *
-   * @param r Where to read objects from
-   * @return An Iterator over the objects
-   */
-  public Iterator<T> getIterator(java.io.Reader r);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/LineIterator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/LineIterator.java
deleted file mode 100644
index 71cce2d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/LineIterator.java
+++ /dev/null
@@ -1,122 +0,0 @@
-package edu.stanford.nlp.objectbank;
-
-import java.io.*;
-import java.util.*;
-
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.util.AbstractIterator;
-
-
-/**
- * An Iterator that returns a line of a file at a time.
- * Lines are broken as determined by Java's readLine() method.
- * The returned lines do not include the newline character.
- *
- * @author Christopher Manning
- */
-public class LineIterator<X> extends AbstractIterator<X> {
-
-  private Function<String,X> op;
-  private BufferedReader in;
-  private X nextToken; // = null;
-
-  @SuppressWarnings({"unchecked"})
-  public LineIterator(Reader r) {
-    this(r, new IdentityFunction());  // it seems like this can't be generified: seems a weird brokenness of Java to me! [cdm]
-  }
-
-  public LineIterator(Reader r, Function<String,X> op) {
-    this.op = op;
-    in = new BufferedReader(r);
-    setNext();
-  }
-
-  private void setNext() {
-    String line = null;
-    try {
-      line = in.readLine();
-    } catch (IOException ioe) {
-      ioe.printStackTrace();
-    }
-    if (line != null) {
-      nextToken = op.apply(line);
-    } else {
-      nextToken = null;
-    }
-  }
-
-  @Override
-  public boolean hasNext() {
-    return nextToken != null;
-  }
-
-  @Override
-  public X next() {
-    if (nextToken == null) {
-      throw new NoSuchElementException("LineIterator reader exhausted");
-    }
-    X token = nextToken;
-    setNext();
-
-    return token;
-  }
-
-  public Object peek() {
-    return nextToken;
-  }
-
-  /**
-   * Returns a factory that vends LineIterators that read the contents of the
-   * given Reader, splitting on newlines.
-   *
-   * @return An iterator over the lines of a file
-   */
-  public static <X> IteratorFromReaderFactory<X> getFactory() {
-    return new LineIteratorFactory<X>();
-  }
-
-  /**
-   * Returns a factory that vends LineIterators that read the contents of the
-   * given Reader, splitting on newlines.
-   *
-   * @param op A function to be applied to each line before it is returned
-   * @return An iterator over the lines of a file
-   */
-  public static <X> IteratorFromReaderFactory<X> getFactory(Function<String,X> op) {
-    return new LineIteratorFactory<X>(op);
-  }
-
-
-  public static class LineIteratorFactory<X> implements IteratorFromReaderFactory<X>, Serializable {
-
-    private static final long serialVersionUID = 1L;
-
-    @SuppressWarnings({"NonSerializableFieldInSerializableClass"})
-    private Function<String,X> oper;
-
-    @SuppressWarnings({"unchecked"})
-    public LineIteratorFactory() {
-      this(new IdentityFunction());  // it seems like this can't be generified: seems a weird brokenness of Java to me! [cdm]
-    }
-
-    public LineIteratorFactory(Function<String,X> op) {
-      this.oper = op;
-    }
-
-    public Iterator<X> getIterator(Reader r) {
-      return new LineIterator<X>(r, oper);
-    }
-
-  }
-
-  public static void main(String[] args) {
-    String s = "\n\n@@123\nthis\nis\na\nsentence\n\n@@124\nThis\nis\nanother\n.\n\n@125\nThis\nis\nthe\nlast\n";
-    Iterator<String> di = new LineIterator<String>(new StringReader(s), new IdentityFunction<String>());
-    System.out.println("--- start ---");
-    while (di.hasNext()) {
-      System.out.println(di.next());
-    }
-    System.out.println("---- end ----");
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/ObjectBank.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/ObjectBank.java
deleted file mode 100644
index a36986f..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/ObjectBank.java
+++ /dev/null
@@ -1,446 +0,0 @@
-package edu.stanford.nlp.objectbank;
-
-import edu.stanford.nlp.util.AbstractIterator;
-import edu.stanford.nlp.util.Function;
-
-import java.util.List;
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.Collections;
-import java.util.Iterator;
-import java.util.NoSuchElementException;
-import java.io.Reader;
-import java.io.File;
-import java.io.IOException;
-import java.io.Serializable;
-
-/**
- * The ObjectBank class is designed to make it easy to change the format/source
- * of data read in by other classes and to standardize how data is read in
- * javaNLP classes.
- * This should make reuse of existing code (by non-authors of the code)
- * easier because one has to just create a new ObjectBank which knows where to
- * look for the data and how to turn it into Objects, and then use the new
- * ObjectBank in the class.  This will also make it easier to reuse code for
- * reading in the same data.
- * <p/>
- * An ObjectBank is a Collection of Objects.  These objects are taken
- * from input sources and then tokenized and parsed into the desired
- * kind of Object.  An ObjectBank requires a ReaderIteratorFactory and a
- * IteratorFromReaderFactory.  The ReaderIteratorFactory is used to get
- * an Iterator over java.util.Readers which contain representations of
- * the Objects.  A ReaderIteratorFactory resembles a collection that
- * takes input sources and dispenses Iterators over java.util.Readers
- * of those sources.  A IteratorFromReaderFactory is used to turn a single
- * java.io.Reader into an Iterator over Objects.  The
- * IteratorFromReaderFactory splits the contents of the java.util.Reader
- * into Strings and then parses them into appropriate Objects.
- * <p/>
- *
- * <h3>Example Usages:</h3>
- * The general case is covered below, but the most common thing people
- * <i>actually</i> want to do is read lines from a file.  There are special
- * methods to make this easy!  You use the <code>getLineIterator</code> method.
- * In its simplest use, it returns an ObjectBank&lt;String&gt;, which is a subclass of
- * Collection&lt;String&gt;.  So, statements like these work:
- * <blockquote>
- * <code>
- * for (String str : ObjectBank.getLineIterator(filename) { <br>
- *   System.out.println(str); <br>
- * } <br><br>
- * String[] strings = ObjectBank.getLineIterator(filename).toArray(new String[0]); <br><br>
- * String[] strings = ObjectBank.getLineIterator(filename, "GB18030").toArray(new String[0]);
- * </code>
- * </blockquote>
- * More complex uses of getLineIterator let you interpret each line of a file
- * as an object of arbitrary type via a transformer Function.
- *
- * <p/>
- * As an example of the general power of this class, suppose you have
- * a collection of files in the directory /u/nlp/data/gre/questions.  Each file
- * contains several Puzzle documents which look like:
- * <pre>
- * &lt;puzzle>
- *    &lt;preamble> some text &lt;/preamble>
- *    &lt;question> some intro text
- *      &lt;answer> answer1 &lt;/answer>
- *      &lt;answer> answer2 &lt;/answer>
- *      &lt;answer> answer3 &lt;/answer>
- *      &lt;answer> answer4 &lt;/answer>
- *    &lt;/question>
- *    &lt;question> another question
- *      &lt;answer> answer1 &lt;/answer>
- *      &lt;answer> answer2 &lt;/answer>
- *      &lt;answer> answer3 &lt;/answer>
- *      &lt;answer> answer4 &lt;/answer>
- *    &lt;/question>
- * &lt;/puzzle>
- * </pre>
- * <p/>
- * First you need to build a ReaderIteratorFactory which will provide java.io.Readers
- * over all the files in your directory:
- * <p/>
- * <pre>
- * Collection c = new FileSequentialCollection("/u/nlp/data/gre/questions/", "", false);
- * ReaderIteratorFactory rif = new ReaderIteratorFactory(c);
- * </pre>
- * <p/>
- * Next you need to make an IteratorFromReaderFactory which will take the
- * java.io.Readers vended by the ReaderIteratorFactory, split them up into
- * documents (Strings) and
- * then convert the Strings into Objects.  In this case we want to keep everything
- * between each set of <puzzle> </puzzle> tags so we would use a BeginEndTokenizerFactory.
- * You would also need to write a class which extends Function and whose apply method
- * converts the String between the <puzzle> </puzzle> tags into Puzzle objects.
- * <p/>
- * <pre>
- * public class PuzzleParser implements Function {
- *   public Object apply (Object o) {
- *     String s = (String)o;
- *     ...
- *     Puzzle p = new Puzzle(...);
- *     ...
- *     return p;
- *   }
- * }
- * </pre>
- * <p/>
- * Now to build the IteratorFromReaderFactory:
- * <p/>
- * <pre>
- * IteratorFromReaderFactory rtif = new BeginEndTokenizerFactory("<puzzle>", "</puzzle>", new PuzzleParser());
- * </pre>
- * <p/>
- * Now, to create your ObjectBank you just give it the ReaderIteratorFactory and
- * IteratorFromReaderFactory that you just created:
- * <p/>
- * <pre>
- * ObjectBank puzzles = new ObjectBank(rif, rtif);
- * </pre>
- * <p/>
- * Now, if you get a new set of puzzles that are located elsewhere and formatted differently
- * you create a new ObjectBank for reading them in and use that ObjectBank instead with only
- * trivial changes (or possible none at all if the ObjectBank is read in on a constructor)
- * to your code.  Or even better, if someone else wants to use your code to evaluate their puzzles,
- * which are  located elsewhere and formatted differently, they already know what they have to do
- * to make your code work for them.
- * <p/>
- *
- * @author Jenny Finkel <A HREF="mailto:jrfinkel@stanford.edu>jrfinkel@stanford.edu</A>
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) - cleanup and filling in types
- */
-
-public class ObjectBank<E> implements Collection<E>, Serializable {
-
-  /**
-   * This creates a new ObjectBank with the given ReaderIteratorFactory
-   * and ObjectIteratorFactory.
-   *
-   * @param rif  The {@link ReaderIteratorFactory} from which to get Readers
-   * @param ifrf The {@link IteratorFromReaderFactory} which turns java.io.Readers
-   *             into Iterators of Objects
-   */
-  public ObjectBank(ReaderIteratorFactory rif, IteratorFromReaderFactory<E> ifrf) {
-    this.rif = rif;
-    this.ifrf = ifrf;
-  }
-
-
-  @SuppressWarnings({"NonSerializableFieldInSerializableClass"})
-  protected ReaderIteratorFactory rif;
-
-  @SuppressWarnings({"NonSerializableFieldInSerializableClass"})
-  protected IteratorFromReaderFactory<E> ifrf;
-
-  @SuppressWarnings({"NonSerializableFieldInSerializableClass"})
-  private List<E> contents; // = null;
-
-
-  public static ObjectBank<String> getLineIterator(String filename) {
-    return getLineIterator(new File(filename));
-  }
-
-  public static <X> ObjectBank<X> getLineIterator(String filename, Function<String,X> op) {
-    return getLineIterator(new File(filename), op);
-  }
-
-  public static ObjectBank<String> getLineIterator(String filename, String encoding) {
-    return getLineIterator(new File(filename), encoding);
-  }
-
-  public static ObjectBank<String> getLineIterator(Reader reader) {
-    return getLineIterator(reader, new IdentityFunction<String>());
-  }
-
-  public static <X> ObjectBank<X> getLineIterator(Reader reader, Function<String,X> op) {
-    ReaderIteratorFactory rif = new ReaderIteratorFactory(reader);
-    IteratorFromReaderFactory<X> ifrf = LineIterator.getFactory(op);
-    return new ObjectBank<X>(rif, ifrf);
-  }
-
-  public static ObjectBank<String> getLineIterator(File file) {
-    return getLineIterator(Collections.singleton(file), new IdentityFunction<String>());
-  }
-
-  public static <X> ObjectBank<X> getLineIterator(File file, Function<String,X> op) {
-    return getLineIterator(Collections.singleton(file), op);
-  }
-
-  public static ObjectBank<String> getLineIterator(File file, String encoding) {
-    return getLineIterator(file, new IdentityFunction<String>(), encoding);
-  }
-
-  public static <X> ObjectBank<X> getLineIterator(File file, Function<String,X> op, String encoding) {
-    ReaderIteratorFactory rif = new ReaderIteratorFactory(file, encoding);
-    IteratorFromReaderFactory<X> ifrf = LineIterator.getFactory(op);
-    return new ObjectBank<X>(rif, ifrf);
-  }
-
-  public static <X> ObjectBank<X> getLineIterator(Collection<?> filesStringsAndReaders, Function<String,X> op) {
-    ReaderIteratorFactory rif = new ReaderIteratorFactory(filesStringsAndReaders);
-    IteratorFromReaderFactory<X> ifrf = LineIterator.getFactory(op);
-    return new ObjectBank<X>(rif, ifrf);
-  }
-
-  public static ObjectBank<String> getLineIterator(Collection<?> filesStringsAndReaders, String encoding) {
-    return getLineIterator(filesStringsAndReaders, new IdentityFunction<String>(), encoding);
-  }
-
-  public static <X> ObjectBank<X> getLineIterator(Collection<?> filesStringsAndReaders, Function<String,X> op, String encoding) {
-    ReaderIteratorFactory rif = new ReaderIteratorFactory(filesStringsAndReaders, encoding);
-    IteratorFromReaderFactory<X> ifrf = LineIterator.getFactory(op);
-    return new ObjectBank<X>(rif, ifrf);
-  }
-
-  /** This is handy for having getLineIterator return a collection of files for feeding into another ObjectBank. */
-  public static class PathToFileFunction implements Function<String, File> {
-
-    public File apply(String str) {
-      return new File(str);
-    }
-
-  }
-
-
-  public Iterator<E> iterator() {
-
-    // basically concatenates Iterator's made from
-    // each java.io.Reader.
-    if (keepInMemory) {
-      if (contents == null) {
-        contents = new ArrayList<E>();
-        Iterator<E> iter = new OBIterator();
-        while (iter.hasNext()) {
-          contents.add(iter.next());
-        }
-      }
-      return contents.iterator();
-    }
-
-    return new OBIterator();
-  }
-
-  private boolean keepInMemory; // = false;
-
-  /**
-   * Tells the ObjectBank to store all of
-   * its contents in memory so that it doesn't
-   * have to be recomputed each time you iterate
-   * through it.  This is useful when the data
-   * is small enough that it can be kept in
-   * memory, but reading/processing it
-   * is expensive/slow.  Defaults to false.
-   *
-   * @param keep Whether to keep contents in memory
-   */
-  public void keepInMemory(boolean keep) {
-    keepInMemory = keep;
-  }
-
-  /**
-   * If you are keeping the contents in memory,
-   * this will clear hte memory, and they will be
-   * recomputed the next time iterator() is
-   * called.
-   */
-  public void clearMemory(){
-    contents = null;
-  }
-
-  public boolean isEmpty() {
-    return !iterator().hasNext();
-  }
-
-  /**
-   * Can be slow.  Usage not recommended.
-   */
-  public boolean contains(Object o) {
-    Iterator<E> iter = iterator();
-    while (iter.hasNext()) {
-      if (iter.next() == o) {
-        return true;
-      }
-    }
-    return false;
-  }
-
-  /**
-   * Can be slow.  Usage not recommended.
-   */
-  public boolean containsAll(Collection<?> c) {
-    for (Object obj : c) {
-      if ( ! contains(obj)) {
-        return false;
-      }
-    }
-    return true;
-  }
-
-  /**
-   * Can be slow.  Usage not recommended.
-   */
-  public int size() {
-    Iterator<E> iter = iterator();
-    int size = 0;
-    while (iter.hasNext()) {
-      size++;
-      iter.next();
-    }
-    return size;
-  }
-
-  public void clear() {
-    rif = new ReaderIteratorFactory();
-  }
-
-  /**
-   * Can be slow.  Usage not recommended.
-   */
-  public Object[] toArray() {
-    Iterator<E> iter = iterator();
-    ArrayList<Object> al = new ArrayList<Object>();
-    while (iter.hasNext()) {
-      al.add(iter.next());
-    }
-    return al.toArray();
-  }
-
-  /**
-   * Can be slow.  Usage not recommended.
-   */
-  @SuppressWarnings({"SuspiciousToArrayCall"})
-  public <T> T[] toArray(T[] o) {
-    Iterator<E> iter = iterator();
-    ArrayList<E> al = new ArrayList<E>();
-    while (iter.hasNext()) {
-      al.add(iter.next());
-    }
-    return al.toArray(o);
-  }
-
-
-  /**
-   * Unsupported Operation.  If you wish to add a new data source,
-   * do so in the underlying ReaderIteratorFactory
-   */
-  public boolean add(E o) {
-    throw new UnsupportedOperationException();
-  }
-
-  /**
-   * Unsupported Operation.  If you wish to remove a data source,
-   * do so in the underlying ReaderIteratorFactory
-   */
-  public boolean remove(Object o) {
-    throw new UnsupportedOperationException();
-  }
-
-  /**
-   * Unsupported Operation.  If you wish to add new data sources,
-   * do so in the underlying ReaderIteratorFactory
-   */
-  public boolean addAll(Collection<? extends E> c) {
-    throw new UnsupportedOperationException();
-  }
-
-  /**
-   * Unsupported Operation.  If you wish to remove data sources,
-   * remove, do so in the underlying ReaderIteratorFactory.
-   */
-  public boolean removeAll(Collection<?> c) {
-    throw new UnsupportedOperationException();
-  }
-
-  /**
-   * Unsupported Operation.  If you wish to retain only certain data
-   * sources, do so in the underlying ReaderIteratorFactory.
-   */
-  public boolean retainAll(Collection<?> c) {
-    throw new UnsupportedOperationException();
-  }
-
-  /**
-   * Iterator of Objects
-   */
-  class OBIterator extends AbstractIterator<E> {
-
-    Iterator<Reader> readerIterator;
-    Iterator<E> tok;
-    E nextObject;
-    Reader currReader; // = null;
-
-    public OBIterator() {
-      readerIterator = rif.iterator();
-      setNextObject();
-    }
-
-    private void setNextObject() {
-
-      if (tok != null && tok.hasNext()) {
-        nextObject = tok.next();
-        return;
-      }
-
-      while (true) {
-        try {
-          if (currReader != null) {
-            currReader.close();
-          }
-        } catch (IOException e) {
-          throw new RuntimeException(e);
-        }
-
-        if (readerIterator.hasNext()) {
-          currReader = readerIterator.next();
-          tok = ifrf.getIterator(currReader);
-        } else {
-          nextObject = null;
-          return;
-        }
-
-        if (tok.hasNext()) {
-          nextObject = tok.next();
-          return;
-        }
-      }
-    }
-
-    @Override
-    public boolean hasNext() {
-      return nextObject != null;
-    }
-
-    @Override
-    public E next() {
-      if (nextObject == null) {
-        throw new NoSuchElementException();
-      }
-      E tmp = nextObject;
-      setNextObject();
-      return tmp;
-    }
-  }
-
-  private static final long serialVersionUID = -4030295596701541770L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/ReaderIteratorFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/ReaderIteratorFactory.java
deleted file mode 100644
index 554b13e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/ReaderIteratorFactory.java
+++ /dev/null
@@ -1,253 +0,0 @@
-package edu.stanford.nlp.objectbank;
-
-import edu.stanford.nlp.util.AbstractIterator;
-import edu.stanford.nlp.io.EncodingFileReader;
-
-import java.io.*;
-import java.net.URL;
-import java.util.*;
-import java.util.zip.*;
-
-/**
- * A ReaderIteratorFactory provides a means of getting an Iterator
- * which returns java.util.Readers over a Collection of input
- * sources.  Currently supported input sources are: Files, Strings,
- * URLs and Readers.  A ReaderIteratorFactory may take a Collection
- * on construction and new sources may be added either individually
- * (via the add(Object) method) or as a Collection (via the
- * addAll(Collection method).  The implementation automatically
- * determines the type of input and produces a java.util.Reader
- * accordingly.  If you wish to add support for a new kind of input,
- * refer the the setNextObject() method of the nested class
- * ReaderIterator.
- * <p>
- * The Readers returned by this class are not closed by the class when you
- * move to the next element (nor at any other time). So, if you want the
- * files closed, then the caller needs to close them.  The caller can only
- * do this if they pass in Readers.  Otherwise, this class should probably
- * close them but currently doesn't.
- * <p>
- * TODO: Have this class close the files that it opens.
- *
- * @author <A HREF="mailto:jrfinkel@stanford.edu">Jenny Finkel</A>
- * @version 1.0
- */
-//TODO: does this always store the same kind of thing in a given instance, 
-//or do you want to allow having some Files, some Strings, etc.?
-public class ReaderIteratorFactory implements Iterable<Reader> {
-
-  /**
-   * Constructs a ReaderIteratorFactory from the input sources
-   * contained in the Collection.  The Collection should contain
-   * Objects of type File, String, URL and Reader.  See class
-   * description for details.
-   *
-   * @param c Collection of input sources.
-   */
-  public ReaderIteratorFactory(Collection<?> c) {
-    this();
-    this.c.addAll(c);
-  }
-
-  public ReaderIteratorFactory(Collection<?> c, String encoding){
-    this();
-    this.enc = encoding;
-    this.c.addAll(c);
-  }
-
-  /**
-   * Convenience constructor to construct a ReaderIteratorFactory from a single
-   * input source. The Object should be of type File, String, URL and Reader.  See class
-   * description for details.
-   *
-   * @param o an input source that can be converted into a Reader
-   */
-  public ReaderIteratorFactory(Object o) {
-    this(Collections.singleton(o));
-  }
-
-  public ReaderIteratorFactory(Object o, String encoding) {
-    this(Collections.singleton(o), encoding);
-  }
-
-
-  public ReaderIteratorFactory() {
-    c = new ArrayList<Object>();
-  }
-
-  /**
-   * The underlying Collection of input sources.  Currently supported
-   * input sources are: Files, Strings, URLs and Readers.   The
-   * implementation automatically  determines the type of input and
-   * produces a java.util.Reader accordingly.
-   */
-  protected Collection<Object> c;
-
-  /**
-   * The encoding for file input.  This is defaulted to "utf-8"
-   * only applies when c is of type <code> File </code>.
-   */
-  protected String enc = "UTF-8";
-
-  /**
-   * Returns an Iterator over the input sources in the underlying Collection.
-   *
-   * @return an Iterator over the input sources in the underlying Collection.
-   */
-  public Iterator<Reader> iterator() {
-    return new ReaderIterator();
-  }
-
-  /**
-   * Adds an Object to the underlying Collection of  input sources.
-   *
-   * @param o Input source to be added to the underlying Collection.
-   */
-  public boolean add(Object o) {
-    return this.c.add(o);
-  }
-
-  /**
-   * Removes an Object from the underlying Collection of  input sources.
-   *
-   * @param o Input source to be removed from the underlying Collection.
-   */
-  public boolean remove(Object o) {
-    return this.c.remove(o);
-  }
-
-  /**
-   * Adds all Objects in Collection c to the underlying Collection of
-   * input sources.
-   *
-   * @param c Collection of input sources to be added to the underlying Collection.
-   */
-  public boolean addAll(Collection<?> c) {
-    return this.c.addAll(c);
-  }
-
-  /**
-   * Removes all Objects in Collection c from the underlying Collection of
-   * input sources.
-   *
-   * @param c Collection of input sources to be removed from the underlying Collection.
-   */
-  public boolean removeAll(Collection<?> c) {
-    return this.c.removeAll(c);
-  }
-
-  /**
-   * Removes all Objects from the underlying Collection of input sources
-   * except those in Collection c
-   *
-   * @param c Collection of input sources to be retained in the underlying Collection.
-   */
-  public boolean retainAll(Collection<?> c) {
-    return this.c.retainAll(c);
-  }
-
-  /**
-   * Iterator which contains BufferedReaders.
-   */
-  class ReaderIterator extends AbstractIterator<Reader> {
-    private Iterator<?> iter;
-    private Reader nextObject;
-
-    /**
-     * Sole constructor.
-     */
-    public ReaderIterator() {
-      iter = c.iterator();
-      setNextObject();
-    }
-
-    /**
-     * sets nextObject to a BufferedReader for the next input source,
-     * or null of there is no next input source.
-     */
-    private void setNextObject() {
-      if (!iter.hasNext()) {
-        nextObject = null;
-        iter = null;
-        return;
-      }
-
-      Object o = iter.next();
-      
-      try {
-        if (o instanceof File) {
-          File file = (File) o;
-          if (file.isDirectory()) {
-            ArrayList<Object> l = new ArrayList<Object>();
-            l.addAll(Arrays.asList(file.listFiles()));
-            while (iter.hasNext()) {
-              l.add(iter.next());
-            }
-            iter = l.iterator();
-            file = (File) iter.next();
-          }
-          if (file.getName().endsWith(".gz")) {
-            nextObject = new BufferedReader(new InputStreamReader(new GZIPInputStream(new FileInputStream(file)), enc));
-          } else {
-            nextObject = new BufferedReader(new EncodingFileReader(file, enc));
-          }
-          //nextObject = new BufferedReader(new FileReader(file));
-        } else if (o instanceof String) {
-//           File file = new File((String)o);
-//           if (file.exists()) {
-//             if (file.isDirectory()) {
-//               ArrayList l = new ArrayList();
-//               l.addAll(Arrays.asList(file.listFiles()));
-//               while (iter.hasNext()) {
-//                 l.add(iter.next());
-//               }
-//               iter = l.iterator();
-//               file = (File) iter.next();
-//             }
-//             if (((String)o).endsWith(".gz")) {
-//               BufferedReader tmp = new BufferedReader(new InputStreamReader(new GZIPInputStream(new FileInputStream(file)), enc));
-//               nextObject = tmp;
-//             } else {
-//               nextObject = new BufferedReader(new EncodingFileReader(file, enc));
-//             }
-//           } else {
-            nextObject = new BufferedReader(new StringReader((String) o));
-//          }
-        } else if (o instanceof URL) {
-          // todo: add encoding specification to this as well? -akleeman
-          nextObject = new BufferedReader(new InputStreamReader(((URL) o).openStream()));
-        } else if (o instanceof Reader) {
-          nextObject = new BufferedReader((Reader) o);
-        } else {
-          throw new RuntimeException("don't know how to get Reader from " + o);
-        }
-      } catch (IOException e) {
-        throw new RuntimeException(e);
-      }
-    }
-
-    /**
-     * @return true if there is another (valid) input source to read from
-     */
-    @Override
-    public boolean hasNext() {
-      return nextObject != null;
-    }
-
-    /**
-     * Returns nextObject and then sets nextObject to the next input source.
-     *
-     * @return BufferedReader for next input source.
-     */
-    @Override
-    public Reader next() {
-      if (nextObject == null) {
-        throw new NoSuchElementException();
-      }
-      Reader tmp = nextObject;
-      setNextObject();
-      return tmp;
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/ResettableReaderIteratorFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/ResettableReaderIteratorFactory.java
deleted file mode 100644
index 2359b6a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/ResettableReaderIteratorFactory.java
+++ /dev/null
@@ -1,93 +0,0 @@
-package edu.stanford.nlp.objectbank;
-
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.util.StringUtils;
-
-import java.util.Iterator;
-import java.util.Collection;
-import java.util.ArrayList;
-import java.io.Reader;
-import java.io.File;
-
-/**
- * Vends ReaderIterators which can always be rewound.
- * Java's Readers cannot be reset, but this ReaderIteratorFactory allows resetting.
- * It the input types are anything other than Readers, then it resets them in
- * the obvious way.  If the input is a Reader, then it's contents are saved
- * to a tmp file (which is destroyed when the VM exits) which is then resettable.
- *
- * @author Jenny Finkel
- */
-public class ResettableReaderIteratorFactory extends ReaderIteratorFactory {
-
-
-  /**
-   * Constructs a ResettableReaderIteratorFactory from the input sources
-   * contained in the Collection.  The Collection should contain
-   * Objects of type File, String, URL and Reader.  See class
-   * description for details.
-   *
-   * @param c Collection of input sources.
-   */
-  public ResettableReaderIteratorFactory(Collection<?> c) {
-    super(c);
-  }
-
-  public ResettableReaderIteratorFactory(Collection<?> c, String encoding) {
-    super(c, encoding);
-  }
-
-  /**
-   * Convenience constructor to construct a ResettableReaderIteratorFactory
-   * from a single input source. The Object should be of type File,
-   * String, URL and Reader.  See class
-   * description for details.
-   *
-   * @param o an input source that can be converted into a Reader
-   */
-  public ResettableReaderIteratorFactory(Object o) {
-    super(o);
-  }
-
-  public ResettableReaderIteratorFactory(Object o, String encoding) {
-    super(o, encoding);
-  }
-
-  /**
-   * Constructs a ResettableReaderIteratorFactory with no initial
-   * input sources.
-   */
-  public ResettableReaderIteratorFactory() {
-    super();
-  }
-
-  /**
-   * Returns an Iterator over the input sources in the underlying Collection.
-   *
-   * @return an Iterator over the input sources in the underlying Collection.
-   */
-  @Override
-  public Iterator<Reader> iterator() {
-    Collection<Object> newCollection = new ArrayList<Object>();
-    for (Object o : c) {
-      if (o instanceof Reader) {
-        String name = o.toString()+".tmp";
-        File tmpFile;
-        try {
-          tmpFile = File.createTempFile(name,"");
-        } catch (Exception e) {
-          throw new RuntimeException(e.getMessage());
-        }
-        tmpFile.deleteOnExit();
-        StringUtils.printToFile(tmpFile, IOUtils.slurpReader((Reader)o),
-                                false, false, enc);
-        newCollection.add(tmpFile);
-      } else {
-        newCollection.add(o);
-      }
-    }
-    c = newCollection;
-    return new ReaderIterator();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/TokenizerFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/TokenizerFactory.java
deleted file mode 100644
index dce9528..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/objectbank/TokenizerFactory.java
+++ /dev/null
@@ -1,28 +0,0 @@
-package edu.stanford.nlp.objectbank;
-
-import edu.stanford.nlp.process.Tokenizer;
-
-import java.io.Reader;
-
-/**
- * A TokenizerFactory is used to convert a java.io.Reader
- * into a Tokenizer (or an Iterator) over the Objects represented by the text
- * in the java.io.Reader.  It's mainly a convenience, since you could cast
- * down anyway.
- *
- * <i>Note:</i> A TokenizerFactory should also provide a static method: <br><code>
- * public static TokenizerFactory&lt;? extends HasWord&gt; newTokenizerFactory();
- * </code><br>
- * This is expected by certain JavaNLP code which wants to produce a
- * TokenizerFactory by reflection.
- * 
- * @author Christopher Manning
- *
- * @param <T> The type of the tokens returned by the Tokenizer
- */
-public interface TokenizerFactory<T> extends IteratorFromReaderFactory<T> {
-
-  public Tokenizer<T> getTokenizer(Reader r);
-  
-  public void setOptions(String options);
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/AbstractCachingDiffFloatFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/AbstractCachingDiffFloatFunction.java
deleted file mode 100644
index dde08ee..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/AbstractCachingDiffFloatFunction.java
+++ /dev/null
@@ -1,66 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import java.util.Arrays;
-
-/**
- * @author Dan Klein
- */
-
-public abstract class AbstractCachingDiffFloatFunction implements DiffFloatFunction, HasFloatInitial {
-
-  float[] lastX = null;
-
-  protected float[] derivative = null;
-  protected float value = 0.0f;
-
-
-  abstract public int domainDimension();
-
-  /**
-   * Calculate the value at x and the derivative and save them in the respective fields
-   *
-   */
-  abstract protected void calculate(float[] x);
-
-  public float[] initial() {
-    float[] initial = new float[domainDimension()];
-    Arrays.fill(initial, 0.0f);
-    return initial;
-  }
-
-  protected void copy(float[] y, float[] x) {
-    System.arraycopy(x, 0, y, 0, x.length);
-  }
-
-  void ensure(float[] x) {
-    if (Arrays.equals(x, lastX)) {
-      return;
-    }
-    if (lastX == null) {
-      lastX = new float[domainDimension()];
-    }
-    if (derivative == null) {
-      derivative = new float[domainDimension()];
-    }
-    copy(lastX, x);
-    calculate(x);
-  }
-
-  public float valueAt(float[] x) {
-    ensure(x);
-    return value;
-  }
-
-  float norm2(float[] x) {
-    float sum = 0.0f;
-    for (int i = 0; i < x.length; i++) {
-      sum += x[i] * x[i];
-    }
-    return (float) Math.sqrt(sum);
-  }
-
-  public float[] derivativeAt(float[] x) {
-    ensure(x);
-    return derivative;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/AbstractCachingDiffFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/AbstractCachingDiffFunction.java
deleted file mode 100644
index 65dfc3f..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/AbstractCachingDiffFunction.java
+++ /dev/null
@@ -1,75 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import java.util.Arrays;
-
-/**
- * @author Dan Klein
- */
-
-public abstract class AbstractCachingDiffFunction implements DiffFunction, HasInitial {
-
-  double[] lastX = null;
-  int fevals = 0;
-  protected double[] derivative = null;
-  protected double value = 0.0;
-
-
-  abstract public int domainDimension();
-
-  /**
-   * Calculate the value at x and the derivative and save them in the respective fields
-   *
-   */
-  abstract protected void calculate(double[] x);
-
-  /**
-   * Clears the cache in a way that doesn't require reallocation :-)
-   */
-  protected void clearCache() {
-    if (lastX != null) lastX[0] = Double.NaN;
-  }
-
-  public double[] initial() {
-    double[] initial = new double[domainDimension()];
-    Arrays.fill(initial, 0.0);
-    return initial;
-  }
-
-  protected void copy(double[] y, double[] x) {
-    System.arraycopy(x, 0, y, 0, x.length);
-  }
-
-  void ensure(double[] x) {
-    if (Arrays.equals(x, lastX)) {
-      return;
-    }
-    if (lastX == null) {
-      lastX = new double[domainDimension()];
-    }
-    if (derivative == null) {
-      derivative = new double[domainDimension()];
-    }
-    copy(lastX, x);
-    fevals += 1;
-    calculate(x);
-  }
-
-  public double valueAt(double[] x) {
-    ensure(x);
-    return value;
-  }
-
-  public double[] derivativeAt(double[] x) {
-    ensure(x);
-    return derivative;
-  }
-
-  public double lastValue() {
-    return value;
-  }
-
-  public void setValue(double v) {
-    value = v;
-  }
-  
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/AbstractStochasticCachingDiffFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/AbstractStochasticCachingDiffFunction.java
deleted file mode 100644
index 0b4cd8b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/AbstractStochasticCachingDiffFunction.java
+++ /dev/null
@@ -1,558 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.Collections;
-import java.util.List;
-import java.util.Random;
-
-
-/**
- *
- * @author Alex Kleeman
- */
-
-public abstract class AbstractStochasticCachingDiffFunction extends AbstractCachingDiffFunction {
-
-  public boolean hasNewVals = true;
-  public boolean recalculatePrevBatch = false;
-  public boolean returnPreviousValues = false;
-
-  protected int lastBatchSize = 0;
-  protected int[] lastBatch = null;
-  protected int[] thisBatch = null;
-  protected double[] lastXBatch = null;
-  protected double[] lastVBatch = null;
-  // protected double[] extFiniteDiffDerivative = null;
-
-  protected int lastElement = 0;
-  protected double[] HdotV = null;
-  protected double[] gradPerturbed = null;
-  protected double[] xPerturbed = null;
-  protected int curElement = 0;
-
-  protected List<Integer> allIndices = null;
-  protected Random randGenerator = new Random(1);//System.currentTimeMillis());
-
-  protected boolean scaleUp = false;
-
-  public enum SamplingMethod {
-    NoneSpecified,
-    RandomWithReplacement,
-    RandomWithoutReplacement,
-    Ordered,
-  }
-
-  public void incrementRandom(int numTimes) {
-    System.err.println("incrementing random "+numTimes+" times.");
-    for (int i = 0; i < numTimes; i++) {
-      randGenerator.nextInt(this.dataDimension());
-    }
-  }
-
-  public void scaleUp(boolean toScaleUp){
-    scaleUp = toScaleUp;
-  }
-
-  public StochasticCalculateMethods method = StochasticCalculateMethods.ExternalFiniteDifference;
-  public SamplingMethod sampleMethod = SamplingMethod.RandomWithoutReplacement;
-
-  /**
-   * finiteDifferenceStepSize - this is the fixed step size for the finite difference approximation.
-   *    a few tests were run using the SMD minimizer, and step sizes of 1e-4 to 1e-3 seemed to be ideal.
-   * (akleeman)
-   */
-  protected double finiteDifferenceStepSize = 1e-4;
-
-
-  /**
-   * calculateStochastic needs to calculate a stochastic approximation to the derivative and value of
-   *    of a function for a given batch of the data.  The approximation to the derivative must be stored
-   *    in the array <code> derivative </code>, the approximation to the value in <code> value </code>
-   *    and the approximation to the Hessian vector product H.v in the array <code> HdotV </code>.  Note
-   *    that the hessian vector product is used primarily with the Stochastic Meta Descent optimization
-   *    routine <code> SMDMinimizer </code>.
-   *
-   *  Important: The stochastic approximation must be such that the sum of all stochastic calculations over
-   *    each of the batches in the data must equal the full calculation.  i.e. for a data set of size 100
-   *    the sum of the gradients for batches 1-10 , 11-20 , 21-30 .... 91-100 must be the same as the gradient
-   *    for the full calculation (at the very least in expectation).  Be sure to take into account the priors.
-   *
-   *
-   * @param x           -  value to evaluate at
-   * @param v           -  the vector for the Hessian vector product H.v
-   * @param batch       -  an array containing the indices of the data to use in the calculation, this array is being calculated
-   *                        internal to the abstract, and only needs to be handled not generated by the implemenation.
-   */
-  abstract public void calculateStochastic(double[] x, double[] v, int[] batch);
-
-
-  /**
-   * Data dimension must return the size of the data used by the function.
-   */
-  abstract public int dataDimension();
-
-  /**
-   * Clears the cache in a way that doesn't require reallocation :-)
-   */
-  @Override
-  protected void clearCache() {
-    if (lastX != null) lastX[0] = Double.NaN;
-    if (lastXBatch != null) lastXBatch[0] = Double.NaN;
-    if (lastVBatch != null) lastVBatch[0] = Double.NaN;
-  }
-
-  @Override
-  public double[] initial() {
-    double[] initial = new double[domainDimension()];
-    Arrays.fill(initial, 0.0);
-    return initial;
-  }
-
-  /**
-   * decrementBatch - This decrements the curElement variable by the amount batchSize.
-   *  by decrementing the batch and then calling calculate you can recalculate over the previous batch.
-   */
-  public void decrementBatch(int batchSize){
-    curElement -= batchSize;
-    if(curElement < 0){curElement = 0;}
-  }
-
-  /**
-   *
-   * incrementBatch will shift the curElement variable to mark the next batch.  It also resets the flags:
-   *    hasNewElements
-   *    recalculatePrevBatch
-   *    returnPreviousValues
-   *
-   *
-   */
-
-  public void incrementBatch(int batchSize){
-    curElement += batchSize;
-    hasNewVals = false;
-    recalculatePrevBatch = false;
-    returnPreviousValues = false;
-  }
-
-
-
-
-
-  /**
-   * getBatch is used to generate the next sequence of indices to be passed to the actual function.
-   *  Depending on the current sample method this is done by:
-   *    Ordered - simply generates the indices 1,2,3,4,....
-   *    RandomWithReplacement - Samples uniformly from the set of possible indices
-   *    RandomWithoutReplacement - Samples from the set of possible indices removing each used index, then restarting
-   *          after each pass
-   */
-
-  //private int numCalls = 0;
-  protected void getBatch(int batchSize){
-
-//      if (numCalls == 0) {
-//        for (int i = 0; i < 1538*\15; i++) {
-//          randGenerator.nextInt(this.dataDimension());
-//        }
-//      }
-//      numCalls++;
-
-    if (thisBatch == null || thisBatch.length != batchSize){
-      thisBatch = new int[batchSize];
-    }
-
-    //-----------------------------
-    //RANDOM WITH REPLACEMENT
-    //-----------------------------
-    if (sampleMethod.equals(SamplingMethod.RandomWithReplacement)){
-      for(int i = 0; i<batchSize;i++){
-        thisBatch[i] = randGenerator.nextInt(this.dataDimension());        //Just generate a random index
-//        System.err.println("numCalls = "+(numCalls++));
-      }
-      //-----------------------------
-      //ORDERED
-      //-----------------------------
-    }else if(sampleMethod.equals(SamplingMethod.Ordered)){
-      for(int i = 0; i<batchSize;i++){
-        thisBatch[i] = (curElement + i) % this.dataDimension() ;          //Take the next batchSize points in order
-      }
-      curElement = (curElement + batchSize) % this.dataDimension();       //watch out for overflow
-
-      //-----------------------------
-      //RANDOM WITHOUT REPLACEMENT
-      //-----------------------------
-    }else if(sampleMethod.equals(SamplingMethod.RandomWithoutReplacement)){
-      //Declare the indices array if needed.
-      if (allIndices == null || allIndices.size()!= this.dataDimension()){
-
-        allIndices = new ArrayList<Integer>();
-        for(int i=0;i<this.dataDimension();i++){
-          allIndices.add(i);
-        }
-        Collections.shuffle(allIndices,randGenerator);
-      }
-
-      for(int i = 0; i<batchSize;i++){
-        thisBatch[i] = allIndices.get((curElement + i) % allIndices.size());  //Grab the next batchSize indices
-      }
-
-      if (curElement + batchSize > this.dataDimension()){
-        Collections.shuffle(Arrays.asList(allIndices),randGenerator);                   //Shuffle if we got to the end of the list
-      }
-
-      //watch out for overflow
-      curElement = (curElement + batchSize) % allIndices.size();          //Rollover
-
-
-    }else{
-      System.err.println("NO SAMPLING METHOD SELECTED");
-      System.exit(1);
-    }
-
-
-  }
-
-
-
-
-  void stochasticEnsure(double[] x, double[] v, int batchSize){
-
-    if (lastXBatch == null) {
-      lastXBatch = new double[domainDimension()];
-      System.err.println("Setting previous position (x).");
-    }
-
-    if (lastVBatch == null) {
-      lastVBatch = new double[domainDimension()];
-      System.err.println("Setting previous gain (v)");
-    }
-
-    if (derivative == null) {
-      derivative = new double[domainDimension()];
-      System.err.println("Setting Derivative.");
-    }
-
-    if (HdotV == null) {
-      HdotV = new double[domainDimension()];
-      System.err.println("Setting HdotV.");
-    }
-
-    if (lastBatch == null){
-      lastBatch = new int[batchSize];
-      System.err.println("Setting last batch");
-    }
-    //If we want to recalculate using the previous batch
-    if(recalculatePrevBatch && batchSize == lastBatch.length){
-
-      thisBatch = lastBatch;
-
-    }else{
-
-      /*
-     If we dont want to calculate anything we just want the last values.  This is especially usefull if you know
-         the values have already been calculated, and you don't want to waste time comparing the entire
-         array of x's and v's.
-      */
-      if(returnPreviousValues){
-        returnPreviousValues = false;
-        return;
-      }
-
-      //If we dont know there are new values, and we havnt asked to recalculate then compare
-      //to avoid needing to recalculate
-      if( !hasNewVals && lastElement!=curElement ){
-        if ((lastBatchSize==batchSize) && Arrays.equals(x, lastXBatch) && Arrays.equals(v,lastVBatch) && Arrays.equals(thisBatch,lastBatch)) {
-          return;
-        }
-      }
-
-      getBatch(batchSize);
-    }
-
-
-    copy(lastXBatch,x);
-    if(lastBatch.length != batchSize){
-      lastBatch = new int[batchSize];
-    }
-    System.arraycopy(thisBatch,0,lastBatch,0,thisBatch.length);
-
-    if(v!=null){copy(lastVBatch,v);}
-    lastBatchSize = batchSize;
-
-    calculateStochastic(x,v,thisBatch);
-
-    //This is used to make the function evaluation equal the true function in expectation.
-    if(scaleUp){
-      double ratio = ( (double) this.dataDimension()) / ( (double)batchSize) ;
-      for(int i=0;i<x.length;i++){
-        derivative[i] = derivative[i] * ratio;
-      }
-      value = ratio*value;
-    }
-
-    incrementBatch(batchSize);
-    lastElement = curElement;
-
-  }
-
-  /*
-  void stochasticEnsure(double[] x, double[] v, int batchSize) {
-
-
-    if (lastXBatch == null) {
-      lastXBatch = new double[domainDimension()];
-      System.out.println("Setting previous position (x).");
-    }
-
-    if (lastVBatch == null) {
-      lastVBatch = new double[domainDimension()];
-      System.out.println("Setting previous gain (v)");
-    }
-
-    if (derivative == null) {
-      derivative = new double[domainDimension()];
-      System.out.println("Setting Derivative.");
-    }
-
-    if (HdotV == null) {
-      HdotV = new double[domainDimension()];
-      System.out.println("Setting HdotV.");
-    }
-
-
-
-    //If we want to recalculate using the previous batch
-    if(recalculatePrevBatch){
-
-      decrementBatch(batchSize);
-
-    }else{
-
-      //
-      //If we dont want to calculate anything we just want the last values.  This is especially usefull if you know
-      //   the values have already been calculated, and you don't want to waste time comparing the entire
-      //   array of x's and v's.
-      //
-      if(returnPreviousValues){
-        returnPreviousValues = false;
-        return;
-      }
-
-      //If we dont know there are new values, and we havnt asked to recalculate then compare
-      //to avoid needing to recalculate
-      if( !hasNewVals && lastElement!=curElement ){
-        if ((lastBatchSize==batchSize) && Arrays.equals(x, lastXBatch) && Arrays.equals(v,lastVBatch)) {
-          return;
-        }
-      }
-
-    }
-
-
-    copy(lastXBatch,x);
-    if(v!=null){copy(lastVBatch,v);}
-    lastBatchSize = batchSize;
-    calculateStochastic(x,v,batchSize);
-
-    lastElement = curElement;
-
-    incrementBatch(batchSize);
-
-  }
-  */
-
-
-
-
-  /**
-   *    valueAt(x,batchSize)   derivativeAt(x,batchSize)
-   *
-   * invokes the calculateStochastic function to get the current value at x for the next batchSize data points.  Will
-   *    not return a HdotV since it passes v = null;
-   *
-   */
-
-  public double valueAt(double[] x, int batchSize){
-    stochasticEnsure(x,null,batchSize);
-    return value;
-  }
-
-  public double[] derivativeAt(double[] x, int batchSize) {
-    stochasticEnsure(x,null,batchSize);
-    return derivative;
-  }
-
-  /**
-   *
-   * This function will return the stochastic approximation at the point x.  the vector v is the vector
-   *    to be used in the vector product H.v.
-   *
-   * passing v = null will simply revert to a calculation without the hessian vector product.
-   *
-   *
-   */
-  public double valueAt(double[] x, double[] v, int batchSize) {
-    stochasticEnsure(x,v,batchSize);
-    return value;
-  }
-
-  public double[] derivativeAt(double[] x, double[] v, int batchSize) {
-    stochasticEnsure(x,v,batchSize);
-    return derivative;
-  }
-
-
-
-  /**
-   * Calculate the Hessian vector product with a vector v of the current function based on a finite difference approximation.
-   *    This is done using the approximation:
-   *
-   * H.v ~ ( Grad( x + h * v ) - Grad( x ) ) / h
-   *
-   * Note that this method will not be exact, and the value of h should be choosen to be small enough to avoid truncation error
-   *    due to neglecting second order taylor series terms, and big enough to avoid numerical error which is almost gaurenteed
-   *    since the operation involves subtracting similar values and dividing by a small number.  In general a step size of
-   *    h = 1e-4 has proved to provide accurate enough calculations.
-   *
-   * @param x                 the point at which the hessian should be calculated
-   * @param v                 the vector for the vector product ... thus the function will return  H(x) . v
-   * @param curDerivative     the derivative at x.  Note this must have been calculated using the same batchSize
-   */
-  private void getHdotVFiniteDifference(double[] x, double[] v, double[] curDerivative){
-
-
-    double h = finiteDifferenceStepSize;
-    double hInv = 1/h;    // this avoids dividing too much since it's a bit more expensive than multiplying
-
-    if (gradPerturbed == null) {
-      gradPerturbed = new double[x.length];
-      System.out.println("Setting approximate gradient.");
-    }
-
-    if (xPerturbed == null){
-      xPerturbed = new double[x.length];
-      System.out.println("Setting perturbed.");
-    }
-
-    if (HdotV == null) {
-      HdotV = new double[x.length];
-      System.out.println("Setting H dot V.");
-    }
-
-    //  This adds h*v to x  --->  x = x + h*v
-    for( int i = 0;i<x.length;i++){
-      xPerturbed[i] = x[i] + h*v[i];
-    }
-
-
-    double prevValue = value;
-
-    recalculatePrevBatch = true;
-
-    calculateStochastic(xPerturbed,null,thisBatch);  // Call the calculate function without updating the batch
-
-    // System.arraycopy(derivative, 0, gradPerturbed, 0, gradPerturbed.length);
-
-    //  This comes up with the approximate difference, and renormalizes it on h.
-    for( int i = 0;i<x.length;i++){
-      double tmp = (derivative[i]-curDerivative[i]);
-      HdotV[i] = hInv*(tmp);
-    }
-
-    //Make sure the original derivative is in place
-    System.arraycopy(curDerivative,0,derivative,0,derivative.length);
-    value = prevValue;
-    hasNewVals = false;
-    recalculatePrevBatch = false;
-    returnPreviousValues = false;
-
-  }
-
-  /**
-   *
-   * HdotVAt  will return the hessian vector product H.v at the point x for a batchSize subset of the data
-   *
-   * There are several ways to perform this calculation, as of now Finite Difference, and Algorithmic Differentiation
-   *  are the methods that have been used.  To use this function calculateStochastic must also fill the array
-   *  Hv with the hessian vector product.
-   *
-   * Alternative:  use the function getHdotVFiniteDifference which will simply make two calls to the function and
-   *    come up with an approximation to this value.
-   *
-   */
-
-  public double[] HdotVAt(double[] x, double[] v, int batchSize){
-
-    if(method.equals(StochasticCalculateMethods.ExternalFiniteDifference)){
-      System.err.println("Attempt to use ExternalFiniteDifference without passing currentDerivative");
-      throw new RuntimeException();
-      /*
-      if( extFiniteDiffDerivative == null )
-        extFiniteDiffDerivative = new double[x.length];
-
-      System.arraycopy(derivativeAt(x,x,batchSize),0,extFiniteDiffDerivative,0,extFiniteDiffDerivative.length);
-      getHdotVFiniteDifference(x,v,extFiniteDiffDerivative,batchSize);
-      */
-
-    }else{
-      //Call the objective Function
-      stochasticEnsure(x,v,batchSize);
-    }
-    return HdotV;
-  }
-
-
-
-
-
-
-
-  public double[] HdotVAt(double[] x, double[] v, double[] curDerivative, int batchSize){
-
-    if(method.equals(StochasticCalculateMethods.ExternalFiniteDifference)){
-
-      //If H.v is going to be calculated by using Finite Difference using two calls to the objective Function
-      //
-      //note:  This assumes that the derivative was calculated at x already.
-      getHdotVFiniteDifference(x,v,curDerivative);
-
-    }else{
-      //Call the objective Function
-      stochasticEnsure(x,v,batchSize);
-    }
-    return HdotV;
-  }
-
-
-  public double[] HdotVAt(double[] x,double[] v){
-
-    if(method.equals(StochasticCalculateMethods.ExternalFiniteDifference)){
-
-      System.err.println("Attempt to use ExternalFiniteDifference without passing currentDerivative");
-      throw new RuntimeException();
-
-    }
-    //Call the objective Function
-    stochasticEnsure(x,v,this.dataDimension());
-
-    //Roll back the batch to the previous val.
-    decrementBatch(this.dataDimension());
-    return HdotV;
-  }
-
-  public double[] lastDerivative() {
-    return derivative;
-  }
-
-  @Override
-  public double lastValue() {
-    return value;
-  }
-
-  @Override
-  public void setValue(double v) {
-    value = v;
-  }
-  
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/AbstractStochasticCachingDiffUpdateFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/AbstractStochasticCachingDiffUpdateFunction.java
deleted file mode 100644
index b0308e9..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/AbstractStochasticCachingDiffUpdateFunction.java
+++ /dev/null
@@ -1,65 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-/**
- * Function for stochastic calculations that does update in place
- * (instead of maintaining and returning the derivative)
- *
- * Weights are represented by an array of doubles and a scalar
- *  that indicates how much to scale all weights by
- * This allows all weights to be scaled by just modifying the scalar
- *
- * @author Angel Chang
- */
-public abstract class AbstractStochasticCachingDiffUpdateFunction
-        extends AbstractStochasticCachingDiffFunction {
-
-  /**
-   * Gets a random sample (this is sampling with replacement)
-   * @param sampleSize number of samples to generate
-   * @return array of indices for random sample of sampleSize
-   */
-  public int[] getSample(int sampleSize)
-  {
-    int[] sample = new int[sampleSize];
-    for(int i = 0; i< sampleSize;i++){
-      sample[i] = randGenerator.nextInt(this.dataDimension()); //Just generate a random index
-    }
-    return sample;
-  }
-
-  /**
-   * Computes value of function for specified value of x (scaled by xcale)
-   *  only over samples indexed by batch
-   * @param x - unscaled weights
-   * @param xscale - how much to scale x by when performing calculations
-   * @param batch - indices of which samples to compute function over
-   * @return value of function at specified x (scaled by xscale) for samples
-   */
-  abstract public double valueAt(double[] x, double xscale, int[] batch);
-
-  /**
-   * Performs stochastic update of weights x (scaled by xscale) based
-   *  on samples indexed by batch
-   * @param x - unscaled weights
-   * @param xscale - how much to scale x by when performing calculations
-   * @param batch - indices of which samples to compute function over
-   * @param gain - how much to scale adjustments to x
-   * @return value of function at specified x (scaled by xscale) for samples
-   */
-  abstract public double calculateStochasticUpdate(double[] x, double xscale, int[] batch, double gain);
-
-  /**
-   * Performs stochastic update of weights x (scaled by xscale) based
-   *  on next batch of batchSize
-   * @param x - unscaled weights
-   * @param xscale - how much to scale x by when performing calculations
-   * @param batchSize - number of samples to pick next
-   * @param gain - how much to scale adjustments to x
-   * @return value of function at specified x (scaled by xscale) for samples
-   */
-  public double calculateStochasticUpdate(double[] x, double xscale, int batchSize, double gain) {
-    getBatch(batchSize);
-    return calculateStochasticUpdate(x, xscale, thisBatch, gain);
-  }
-
-}
\ No newline at end of file
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/CGMinimizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/CGMinimizer.java
deleted file mode 100644
index 81dbccf..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/CGMinimizer.java
+++ /dev/null
@@ -1,617 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-
-/**
- * Conjugate-gradient implementation based on the code in Numerical
- * Recipes in C.  (See p. 423 and others.)  As of now, it requires a
- * differentiable function (DiffFunction) as input.  Equality
- * constraints are supported; inequality constraints may soon be
- * added.
- * <p/>
- * The basic way to use the minimizer is with a null constructor, then
- * the simple minimize method:
- * <p/>
- * <p><code>Minimizer cgm = new CGMinimizer();</code>
- * <br><code>DiffFunction df = new SomeDiffFunction();</code>
- * <br><code>double tol = 1e-4;</code>
- * <br><code>double[] initial = getInitialGuess();</code>
- * <br><code>double[] minimum = cgm.minimize(df,tol,initial);</code>
- *
- * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a>
- * @version 1.0
- * @since 1.0
- */
-public class CGMinimizer implements Minimizer<DiffFunction> {
-
-  private static NumberFormat nf = new DecimalFormat("0.000E0");
-
-  private Function monitor; // = null;
-
-  private static final int numToPrint = 5;
-  private static final boolean simpleGD = false;
-  private static final boolean checkSimpleGDConvergence = true;
-  private static final boolean verbose = false;
-  private boolean silent;
-
-  private static final int ITMAX = 2000; // overridden in dbrent(); made bigger
-  private static final double EPS = 1.0e-30;
-
-  private static final int resetFrequency = 10;
-
-  static double[] copyArray(double[] a) {
-    double[] result = new double[a.length];
-    for (int i = 0; i < a.length; i++) {
-      result[i] = a[i];
-    }
-    return result;
-  }
-
-  //  private static String arrayToString(double[] x) {
-  //    return arrayToString(x, x.length);
-  //  }
-
-  private static String arrayToString(double[] x, int num) {
-    StringBuilder sb = new StringBuilder("(");
-    if (num > x.length) {
-      num = x.length;
-    }
-    for (int j = 0; j < num; j++) {
-      sb.append(x[j]);
-      if (j != x.length - 1) {
-        sb.append(", ");
-      }
-    }
-    if (num < x.length) {
-      sb.append("...");
-    }
-    sb.append(")");
-    return sb.toString();
-  }
-
-  private static double fabs(double x) {
-    if (x < 0) {
-      return -x;
-    }
-    return x;
-  }
-
-  private static double fmax(double x, double y) {
-    if (x < y) {
-      return y;
-    }
-    return x;
-  }
-
-  //  private static double fmin(double x, double y) {
-  //    if (x>y)
-  //      return y;
-  //    return x;
-  //  }
-
-  private static double sign(double x, double y) {
-    if (y >= 0.0) {
-      return fabs(x);
-    }
-    return -fabs(x);
-  }
-
-  //  private static double arrayMax(double[] x) {
-  //    double max = Double.NEGATIVE_INFINITY;
-  //    for (int i=0; i<x.length; i++) {
-  //      if (max < x[i])
-  //	max = x[i];
-  //    }
-  //    return max;
-  //  }
-  //
-  //  private static int arrayArgMax(double[] x) {
-  //    double max = Double.NEGATIVE_INFINITY;
-  //    int index = -1;
-  //    for (int i=0; i<x.length; i++) {
-  //      if (max < x[i]) {
-  //	max = x[i];
-  //	index = i;
-  //      }
-  //    }
-  //    return index;
-  //  }
-  //
-  //  private static double arrayMin(double[] x) {
-  //    double min = Double.POSITIVE_INFINITY;
-  //    for (int i=0; i<x.length; i++) {
-  //      if (min > x[i])
-  //	min = x[i];
-  //    }
-  //    return min;
-  //  }
-  //
-  //  private static int arrayArgMin(double[] x) {
-  //    double min = Double.POSITIVE_INFINITY;
-  //    int index = -1;
-  //    for (int i=0; i<x.length; i++) {
-  //      if (min > x[i]) {
-  //	min = x[i];
-  //	index = i;
-  //      }
-  //    }
-  //    return index;
-  //  }
-
-  static class OneDimDiffFunction {
-    private DiffFunction function;
-    private double[] initial;
-    private double[] direction;
-    private double[] tempVector;
-
-    private double[] vectorOf(double x) {
-      for (int j = 0; j < initial.length; j++) {
-        tempVector[j] = initial[j] + x * direction[j];
-      }
-      //System.err.println("Tmp "+arrayToString(tempVector,10));
-      //System.err.println("Dir "+arrayToString(direction,10));
-      return tempVector;
-    }
-
-    double valueAt(double x) {
-      return function.valueAt(vectorOf(x));
-    }
-
-    double derivativeAt(double x) {
-      double[] g = function.derivativeAt(vectorOf(x));
-      double d = 0.0;
-      for (int j = 0; j < g.length; j++) {
-        d += g[j] * direction[j];
-      }
-      return d;
-    }
-
-    OneDimDiffFunction(DiffFunction function, double[] initial, double[] direction) {
-      this.function = function;
-      this.initial = copyArray(initial);
-      this.direction = copyArray(direction);
-      this.tempVector = new double[function.domainDimension()];
-    }
-
-  } // end class OneDimDiffFunction
-
-
-  // constants
-  private static final double GOLD = 1.618034;
-  private static final double GLIMIT = 100.0;
-  private static final double TINY = 1.0e-20;
-
-  private static Triple mnbrak(Triple abc, OneDimDiffFunction function) {
-    // inputs
-    double ax = abc.a;
-    double fa = function.valueAt(ax);
-
-    double bx = abc.b;
-    double fb = function.valueAt(bx);
-
-    if (fb > fa) {
-      // swap
-      double temp = fa;
-      fa = fb;
-      fb = temp;
-      temp = ax;
-      ax = bx;
-      bx = temp;
-    }
-
-    // guess cx
-    double cx = bx + GOLD * (bx - ax);
-    double fc = function.valueAt(cx);
-
-    // loop until we get a bracket
-    while (fb > fc) {
-      double r = (bx - ax) * (fb - fc);
-      double q = (bx - cx) * (fb - fa);
-      double u = bx - ((bx - cx) * q - (bx - ax) * r) / (2.0 * sign(fmax(fabs(q - r), TINY), q - r));
-      double fu;
-      double ulim = bx + GLIMIT * (cx - bx);
-      if ((bx - u) * (u - cx) > 0.0) {
-        fu = function.valueAt(u);
-        if (fu < fc) {
-          //Ax = new Double(bx);
-          //Bx = new Double(u);
-          //Cx = new Double(cx);
-          //System.err.println("\nReturning3: a="+bx+" ("+fb+") b="+u+"("+fu+") c="+cx+" ("+fc+")");
-          return new Triple(bx, u, cx);
-        } else if (fu > fb) {
-          //Cx = new Double(u);
-          //Ax = new Double(ax);
-          //Bx = new Double(bx);
-          //System.err.println("\nReturning2: a="+ax+" ("+fa+") b="+bx+"("+fb+") c="+u+" ("+fu+")");
-          return new Triple(ax, bx, u);
-        }
-        u = cx + GOLD * (cx - bx);
-        fu = function.valueAt(u);
-      } else if ((cx - u) * (u - ulim) > 0.0) {
-        fu = function.valueAt(u);
-        if (fu < fc) {
-          bx = cx;
-          cx = u;
-          u = cx + GOLD * (cx - bx);
-          fb = fc;
-          fc = fu;
-          fu = function.valueAt(u);
-        }
-      } else if ((u - ulim) * (ulim - cx) >= 0.0) {
-        u = ulim;
-        fu = function.valueAt(u);
-      } else {
-        u = cx + GOLD * (cx - bx);
-        fu = function.valueAt(u);
-      }
-      ax = bx;
-      bx = cx;
-      cx = u;
-      fa = fb;
-      fb = fc;
-      fc = fu;
-    }
-    //System.err.println("\nReturning: a="+ax+" ("+fa+") b="+bx+"("+fb+") c="+cx+" ("+fc+")");
-    return new Triple(ax, bx, cx);
-  }
-
-  private static double dbrent(OneDimDiffFunction function, double ax, double bx, double cx) {
-    // constants
-    final boolean dbVerbose = false;
-    final int ITMAX = 100;
-    final double TOL = 1.0e-4;
-
-    boolean ok1, ok2;
-    double d = 0.0, d1, d2, du, e = 0.0;
-    double fu, olde, tol1, tol2, u, u1, u2, xm;
-
-    double a = (ax < cx ? ax : cx);
-    double b = (ax > cx ? ax : cx);
-    double x = bx;
-    double v = bx;
-    double w = bx;
-    double fx = function.valueAt(x);
-    double fv = fx;
-    double fw = fx;
-    double dx = function.derivativeAt(x);
-    double dv = dx;
-    double dw = dx;
-    for (int iteration = 0; iteration < ITMAX; iteration++) {
-      //System.err.println("dbrent "+iteration+" x "+x+" fx "+fx);
-      xm = 0.5 * (a + b);
-      tol1 = TOL * fabs(x); //+ZEPS (was 1e-10);
-      tol2 = 2.0 * tol1;
-      if (fabs(x - xm) <= (tol2 - 0.5 * (b - a))) {
-        if (dbVerbose) {
-          System.err.println("dbrent returning because min is cornered " + a + " (" + function.valueAt(a) + ") ~ " + x + " (" + fx + ") " + b + " (" + function.valueAt(b) + ")");
-        }
-        return x;
-      }
-      if (fabs(e) > tol1) {
-        d1 = 2.0 * (b - a);
-        d2 = d1;
-        if (dw != dx) {
-          d1 = (w - x) * dx / (dx - dw);
-        }
-        if (dv != dx) {
-          d2 = (v - x) * dx / (dx - dv);
-        }
-        u1 = x + d1;
-        u2 = x + d2;
-        ok1 = ((a - u1) * (u1 - b) > 0.0 && dx * d1 <= 0.0);
-        ok2 = ((a - u2) * (u2 - b) > 0.0 && dx * d2 <= 0.0);
-        olde = e;
-        e = d;
-        if (ok1 || ok2) {
-          if (ok1 && ok2) {
-            d = (fabs(d1) < fabs(d2) ? d1 : d2);
-          } else if (ok1) {
-            d = d1;
-          } else {
-            d = d2;
-          }
-          if (fabs(d) <= fabs(0.5 * olde)) {
-            u = x + d;
-            if (u - a < tol2 || b - u < tol2) {
-              d = sign(tol1, xm - x);
-            }
-          } else {
-            e = (dx >= 0.0 ? a - x : b - x);
-            d = 0.5 * e;
-          }
-        } else {
-          e = (dx >= 0.0 ? a - x : b - x);
-          d = 0.5 * e;
-        }
-      } else {
-        e = (dx >= 0.0 ? a - x : b - x);
-        d = 0.5 * e;
-      }
-      if (fabs(d) >= tol1) {
-        u = x + d;
-        fu = function.valueAt(u);
-      } else {
-        u = x + sign(tol1, d);
-        fu = function.valueAt(u);
-        if (fu > fx) {
-          if (dbVerbose) {
-            System.err.println("dbrent returning because derivative is broken");
-          }
-          return x;
-        }
-      }
-      du = function.derivativeAt(u);
-      if (fu <= fx) {
-        if (u >= x) {
-          a = x;
-        } else {
-          b = x;
-        }
-        v = w;
-        fv = fw;
-        dv = dw;
-        w = x;
-        fw = fx;
-        dw = dx;
-        x = u;
-        fx = fu;
-        dx = du;
-      } else {
-        if (u < x) {
-          a = u;
-        } else {
-          b = u;
-        }
-        if (fu <= fw || w == x) {
-          v = w;
-          fv = fw;
-          dv = dw;
-          w = u;
-          fw = fu;
-          dw = du;
-        } else if (fu < fv || v == x || v == w) {
-          v = u;
-          fv = fu;
-          dv = du;
-        }
-      }
-    }
-    // dan's addition:
-    if (fx < function.valueAt(0.0)) {
-      return x;
-    }
-    if (dbVerbose) {
-      System.err.println("Warning: exiting dbrent because ITMAX exceeded!");
-    }
-    return 0.0;
-  }
-
-  private static class Triple {
-    public double a;
-    public double b;
-    public double c;
-
-    public Triple(double a, double b, double c) {
-      this.a = a;
-      this.b = b;
-      this.c = c;
-    }
-
-  }
-
-  //public double lastXx = 1.0;
-  double[] lineMinimize(DiffFunction function, double[] initial, double[] direction) {
-    // make a 1-dim function along the direction line
-    // THIS IS A HACK (but it's the NRiC peoples' hack)
-    OneDimDiffFunction oneDim = new OneDimDiffFunction(function, initial, direction);
-    // do a 1-dim line min on this function
-    //Double Ax = new Double(0.0);
-    //Double Xx = new Double(1.0);
-    //Double Bx = new Double(0.0);
-    // bracket the extreme pt
-    double guess = 0.01;
-    //System.err.println("Current "+oneDim.valueAt(0)+" nudge "+(oneDim.smallestZeroPositiveLocation()*1e-2)+" "+oneDim.valueAt(oneDim.smallestZeroPositiveLocation()*1e-5));
-    if (!silent) {
-      System.err.print("[");
-    }
-    Triple bracketing = mnbrak(new Triple(0, guess, 0), oneDim);
-    if (!silent) {
-      System.err.print("]");
-    }
-    double ax = bracketing.a;
-    double xx = bracketing.b;
-    double bx = bracketing.c;
-    //lastXx = xx;
-    // CHECK FOR END OF WORLD
-    if (!(ax <= xx && xx <= bx) && !(bx <= xx && xx <= ax)) {
-      System.err.println("Bad bracket order!");
-    }
-    if (verbose) {
-      System.err.println("Bracketing found: " + ax + " " + xx + " " + bx);
-      System.err.println("Bracketing found: " + oneDim.valueAt(ax) + " " + oneDim.valueAt(xx) + " " + oneDim.valueAt(bx));
-      //System.err.println("Bracketing found: "+arrayToString(oneDim.vectorOf(ax),3)+" "+arrayToString(oneDim.vectorOf(xx),3)+" "+arrayToString(oneDim.vectorOf(bx),3));
-    }
-    // find the extreme pt
-    if (!silent) {
-      System.err.print("<");
-    }
-    double xmin = dbrent(oneDim, ax, xx, bx);
-    if (!silent) {
-      System.err.print(">");
-    }
-    // return the full vector
-    //System.err.println("Went "+xmin+" during lineMinimize");
-    return oneDim.vectorOf(xmin);
-  }
-
-  public double[] minimize(DiffFunction function, double functionTolerance, double[] initial) {
-    return minimize(function, functionTolerance, initial, ITMAX);
-  }
-
-  public double[] minimize(DiffFunction dfunction, double functionTolerance, double[] initial, int maxIterations) {
-    // check for derivatives
-
-    int dimension = dfunction.domainDimension();
-    //lastXx = 1.0;
-
-    // evaluate function
-    double fp = dfunction.valueAt(initial);
-    if (verbose) {
-      System.err.println("Initial: " + fp);
-    }
-    double[] xi = copyArray(dfunction.derivativeAt(initial));
-    if (verbose) {
-      System.err.println("Initial at: " + arrayToString(initial, numToPrint));
-      System.err.println("Initial deriv: " + arrayToString(xi, numToPrint));
-    }
-
-    // make some vectors
-    double[] g = new double[dimension];
-    double[] h = new double[dimension];
-    double[] p = new double[dimension];
-    for (int j = 0; j < dimension; j++) {
-      g[j] = -xi[j];
-      xi[j] = g[j];
-      h[j] = g[j];
-      p[j] = initial[j];
-    }
-
-    // iterations
-    boolean simpleGDStep = false;
-    for (int iterations = 1; iterations < maxIterations; iterations++) {
-
-      if (!silent) {
-        System.err.print("Iter " + iterations + " ");
-      }
-      // do a line min along descent direction
-      //System.err.println("Minimizing from ("+p[0]+","+p[1]+") along ("+xi[0]+","+xi[1]+")\n");
-      if (verbose) {
-        System.err.println("Minimizing along " + arrayToString(xi, numToPrint));
-      }
-      //System.err.println("Current is "+fp);
-      double[] p2 = lineMinimize(dfunction, p, xi);
-      double fp2 = dfunction.valueAt(p2);
-      //System.err.println("Result is "+fp2+" (from "+fp+") at ("+p2[0]+","+p2[1]+")\n");
-      if (verbose) {
-        System.err.println("Result is " + fp2 + " after " + iterations);
-        System.err.println("Result at " + arrayToString(p2, numToPrint));
-      }
-      //System.err.print(fp2+"|"+(int)(Math.log((fabs(fp2-fp)+1e-100)/(fabs(fp)+fabs(fp2)+1e-100))/Math.log(10)));
-      if (!silent) {
-        System.err.printf(" %s (delta: %s)\n",
-          nf.format(fp2), nf.format(fp-fp2));
-      }
-      if (monitor != null) {
-        double monitorReturn = monitor.valueAt(p2);
-        if (monitorReturn < functionTolerance) {
-          return p2;
-        }
-      }
-      // check convergence
-      if (2.0 * fabs(fp2 - fp) <= functionTolerance * (fabs(fp2) + fabs(fp) + EPS)) {
-        // convergence
-        if (!checkSimpleGDConvergence || simpleGDStep || simpleGD) {
-          return p2;
-        }
-        simpleGDStep = true;
-        //System.err.println("Switched to GD for a step.");
-      } else {
-        //if (!simpleGD)
-        //System.err.println("Switching to CGD.");
-        simpleGDStep = false;
-      }
-      // shift variables
-      for (int j = 0; j < dimension; j++) {
-        xi[j] = p2[j] - p[j];
-        p[j] = p2[j];
-      }
-      fp = fp2;
-      // find the new gradient
-      xi = copyArray(dfunction.derivativeAt(p));
-      //System.err.print("mx "+arrayMax(xi)+" mn "+arrayMin(xi));
-
-      if (!simpleGDStep && !simpleGD && (iterations % resetFrequency != 0)) {
-        // do the magic -- part i
-        // (calculate some dot products we'll need)
-        double dgg = 0.0;
-        double gg = 0.0;
-        for (int j = 0; j < dimension; j++) {
-          // g dot g
-          gg += g[j] * g[j];
-          // grad dot grad
-          // FR method is:
-          // dgg += x[j]*x[j];
-          // PR method is:
-          dgg += (xi[j] + g[j]) * xi[j];
-        }
-
-        // check for miraculous convergence
-        if (gg == 0.0) {
-          return p;
-        }
-
-        // magic part ii
-        // (update the sequence in a way that tries to preserve conjugacy)
-        double gam = dgg / gg;
-        for (int j = 0; j < dimension; j++) {
-          g[j] = -xi[j];
-          h[j] = g[j] + gam * h[j];
-          xi[j] = h[j];
-        }
-      } else {
-        // miraculous simpleGD convergence
-        double xixi = 0.0;
-        for (int j = 0; j < dimension; j++) {
-          xixi += xi[j] * xi[j];
-        }
-        // reset cgd
-        for (int j = 0; j < dimension; j++) {
-          g[j] = -xi[j];
-          xi[j] = g[j];
-          h[j] = g[j];
-        }
-        if (xixi == 0.0) {
-          return p;
-        }
-      }
-    }
-
-    // too many iterations
-    System.err.println("Warning: exiting minimize because ITER exceeded!");
-    return p;
-
-  }
-
-  /**
-   * Basic constructor, use this.
-   */
-  public CGMinimizer() {
-    this(true);
-  }
-
-  /**
-   * Pass in <code>false</code> to get per-iteration progress reports
-   * (to stderr).
-   *
-   * @param silent a <code>boolean</code> value
-   */
-  public CGMinimizer(boolean silent) {
-    this.silent = silent;
-  }
-
-  /**
-   * Perform minimization with monitoring.  After each iteration,
-   * monitor.valueAt(x) gets called, with the double array <code>x</code>
-   * being that iteration's ending point.  A return <code>&lt;
-   * tol</code> forces convergence (terminates the CG procedure).
-   * Specially for Kristina.
-   *
-   * @param monitor a <code>Function</code> value
-   */
-  public CGMinimizer(Function monitor) {
-    this();
-    this.monitor = monitor;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/CmdEvaluator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/CmdEvaluator.java
deleted file mode 100644
index 19b37a4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/CmdEvaluator.java
+++ /dev/null
@@ -1,67 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-//import edu.stanford.nlp.util.StreamGobbler;
-import edu.stanford.nlp.util.SystemUtils;
-
-import java.io.*;
-import java.util.regex.Pattern;
-
-/**
- * Runs a cmdline to evaluate a dataset (assumes cmd takes input from stdin)
- *
- * @author Angel Chang
- */
-public abstract class CmdEvaluator implements Evaluator {
-  private static final Pattern cmdSplitPattern = Pattern.compile("\\s+");
-  private boolean saveOutput = false;
-  private String outString;
-  private String errString;
-  protected String description;
-
-  public abstract void setValues(double[] x);
-  public abstract String[] getCmd();
-  public abstract void outputToCmd(OutputStream outputStream);
-
-  protected String[] getCmd(String cmdStr)
-  {
-    if (cmdStr == null) return null;
-    return cmdSplitPattern.split(cmdStr);
-  }
-
-  public String getOutput() {
-    return outString;
-  }
-
-  public String getError() {
-    return errString;
-  }
-
-  public String toString() {
-    return description;
-  }
-
-  public void evaluateCmd(String[] cmd) {
-    try {
-      SystemUtils.ProcessOutputStream outputStream;
-      if (saveOutput) {
-        StringWriter outSw = new StringWriter();
-        StringWriter errSw = new StringWriter();
-        outputStream = new SystemUtils.ProcessOutputStream(cmd, outSw, errSw);
-        outString = outSw.toString();
-        errString = errSw.toString();
-      } else {
-        outputStream = new SystemUtils.ProcessOutputStream(cmd, new PrintWriter(System.err));
-      }
-      outputToCmd(outputStream);
-      outputStream.close();
-    } catch (IOException ex) {
-      throw new RuntimeException(ex);
-    }
-  }
-  
-  public double evaluate(double[] x) {
-    setValues(x);
-    evaluateCmd(getCmd());
-    return 0;
-  }
-}
\ No newline at end of file
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/DiffFloatFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/DiffFloatFunction.java
deleted file mode 100644
index 123e49e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/DiffFloatFunction.java
+++ /dev/null
@@ -1,21 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-/**
- * An interface for once-differentiable double-valued functions over
- * double arrays.  NOTE: it'd be good to have an AbstractDiffFunction
- * that wrapped a Function with a finite-difference approximation.
- *
- * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a>
- * @version 1.0
- * @see Function
- * @since 1.0
- */
-public interface DiffFloatFunction extends FloatFunction {
-  /**
-   * Returns the first-derivative vector at the input location.
-   *
-   * @param x a <code>double[]</code> input vector
-   * @return the vector of first partial derivatives.
-   */
-  float[] derivativeAt(float[] x);
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/DiffFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/DiffFunction.java
deleted file mode 100644
index 4e6b17a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/DiffFunction.java
+++ /dev/null
@@ -1,21 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-/**
- * An interface for once-differentiable double-valued functions over
- * double arrays.  NOTE: it'd be good to have an AbstractDiffFunction
- * that wrapped a Function with a finite-difference approximation.
- *
- * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a>
- * @version 1.0
- * @see Function
- * @since 1.0
- */
-public interface DiffFunction extends Function {
-  /**
-   * Returns the first-derivative vector at the input location.
-   *
-   * @param x a <code>double[]</code> input vector
-   * @return the vector of first partial derivatives.
-   */
-  double[] derivativeAt(double[] x);
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/Evaluator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/Evaluator.java
deleted file mode 100644
index f98d53b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/Evaluator.java
+++ /dev/null
@@ -1,8 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-/**
- * @author Angel Chang
- */
-public interface Evaluator {
-  public double evaluate(double[] x);
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/FloatFunction.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/FloatFunction.java
deleted file mode 100644
index e29488b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/FloatFunction.java
+++ /dev/null
@@ -1,25 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-/**
- * An interface for double-valued functions over double arrays.
- *
- * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a>
- * @version 1.0
- * @since 1.0
- */
-public interface FloatFunction {
-  /**
-   * Returns the value of the function at a single point.
-   *
-   * @param x a <code>double[]</code> input
-   * @return the function value at the input
-   */
-  float valueAt(float[] x);
-
-  /**
-   * Returns the number of dimensions in the function's domain
-   *
-   * @return the number of domain dimensions
-   */
-  int domainDimension();
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/Function.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/Function.java
deleted file mode 100644
index 075e00d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/Function.java
+++ /dev/null
@@ -1,25 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-/**
- * An interface for double-valued functions over double arrays.
- *
- * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a>
- * @version 1.0
- * @since 1.0
- */
-public interface Function {
-  /**
-   * Returns the value of the function at a single point.
-   *
-   * @param x a <code>double[]</code> input
-   * @return the function value at the input
-   */
-  double valueAt(double[] x);
-
-  /**
-   * Returns the number of dimensions in the function's domain
-   *
-   * @return the number of domain dimensions
-   */
-  int domainDimension();
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/GoldenSectionLineSearch.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/GoldenSectionLineSearch.java
deleted file mode 100644
index 0de3e2b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/GoldenSectionLineSearch.java
+++ /dev/null
@@ -1,222 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import edu.stanford.nlp.util.Function;
-
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-import java.util.HashMap;
-import java.util.Arrays;
-
-/**
- * A class to do golden section line search.  Should it implement Minimizer?  Prob. not.
- *
- * @author Galen Andrew
- */
-public class GoldenSectionLineSearch implements LineSearcher {
-
-  private static final double GOLDEN_RATIO = (1.0 + Math.sqrt(5.0)) / 2.0;
-  private static final double GOLDEN_SECTION = (GOLDEN_RATIO / (1.0 + GOLDEN_RATIO));
-  private static boolean VERBOSE = true;
-
-  private HashMap<Double, Double> memory = new HashMap<Double, Double>(); //remember where it was called and what were the values
-  private boolean geometric;
-
-  private double tol;
-  private double low;
-  private double high;
-
-  public GoldenSectionLineSearch(double tol, double low, double high) {
-    this(false, tol, low, high);
-  }
-
-  public GoldenSectionLineSearch(double tol, double low, double high, boolean verbose) {
-    this(false, tol, low, high, verbose);
-  }
-
-  public GoldenSectionLineSearch(boolean geometric) {
-    this(geometric, 1e-4, 1e-2, 10);
-  }
-
-  public GoldenSectionLineSearch(boolean geometric, double tol, double low, double high) {
-    this.geometric = geometric;
-    this.tol = tol;
-    this.low = low;
-    this.high = high;
-  }
-
-  public GoldenSectionLineSearch(boolean geometric, double tol, double low, double high, boolean verbose) {
-    this.geometric = geometric;
-    this.tol = tol;
-    this.low = low;
-    this.high = high;
-    GoldenSectionLineSearch.VERBOSE = verbose;
-  }
-
-  private static final NumberFormat nf = new DecimalFormat("0.000");
-
-  public double minimize(Function<Double, Double> function, double tol, double low, double high) {
-    this.tol = tol;
-    this.low = low;
-    this.high = high;
-    return minimize(function);
-  }
-
-
-  public double minimize(Function<Double, Double> function) {
-
-    double tol = this.tol;
-    double low = this.low;
-    double high = this.high;
-
-    // cdm Oct 2006: The code used to do nothing to find or check
-    // the validity of an initial
-    // bracketing; it just blindly placed the midpoint at the golden ratio
-    // I now try to grid search a little in case the function is very flat
-    // (RTE contradictions).
-
-    double flow = function.apply(low);
-    double fhigh = function.apply(high);
-    if (VERBOSE) {
-      System.err.println("Finding min between " + low + " (value: " +
-                flow + ") and " + high + " (value: " + fhigh + ")");
-    }
-
-    double mid;
-    double oldY;
-    boolean searchRight;
-    if (false) {
-      // initialize with golden means
-      mid = goldenMean(low, high);
-      oldY = function.apply(mid);
-      if (VERBOSE) System.err.println("Initially probed at " + mid + ", value is " + oldY);
-      if (oldY < flow || oldY < fhigh) {
-        searchRight = false; // Galen had this true; should be false
-      } else {
-        mid = goldenMean(high, low);
-        oldY = function.apply(mid);
-        if (VERBOSE) System.err.println("Probed at " + mid + ", value is " + oldY);
-        searchRight = true;
-        if ( ! (oldY < flow || oldY < fhigh)) {
-          System.err.println("Warning: GoldenSectionLineSearch init didn't find slope!!");
-        }
-      }
-    } else {
-        // grid search a little; this case doesn't do geometric differently...
-        if (VERBOSE) System.err.println("20 point gridsearch for good mid point....");
-        double bestPoint = low;
-        double bestVal = flow;
-        double incr = (high - low)/22.0;
-        for (mid = low+incr; mid < high; mid += incr) {
-          oldY = function.apply(mid);
-          if (VERBOSE) System.err.print("Probed at " + mid + ", value is " + oldY);
-          if (oldY < bestVal) {
-            bestPoint = mid;
-            bestVal = oldY;
-            if (VERBOSE) System.err.print(" [best so far!]");
-          }
-          if (VERBOSE) System.err.println();
-        }
-        mid = bestPoint;
-        oldY = bestVal;
-        searchRight = mid < low + (high - low)/2.0;
-        if (oldY < flow && oldY < fhigh) {
-          if (VERBOSE) System.err.println("Found a good mid point at (" + mid + ", " + oldY + ")");
-        } else {
-          System.err.println("Warning: GoldenSectionLineSearch grid search couldn't find slope!!");
-          // revert to initial positioning and pray
-          mid = goldenMean(low, high);
-          oldY = function.apply(mid);
-          searchRight = false;
-        }
-    }
-
-    memory.put(mid, oldY);
-    while (geometric ? (high / low > 1 + tol) : high - low > tol) {
-      if (VERBOSE) System.err.println("Current low, mid, high: " + nf.format(low) + " " + nf.format(mid) + " " + nf.format(high));
-      double newX = goldenMean(searchRight ? high : low, mid);
-      double newY = function.apply(newX);
-      memory.put(newX, newY);
-      if (VERBOSE) System.err.println("Probed " + (searchRight ? "right": "left") + " at " + newX + ", value is " + newY);
-      if (newY < oldY) {
-        // keep going in this direction
-        if (searchRight) low = mid; else high = mid;
-        mid = newX;
-        oldY = newY;
-      } else {
-        // go the other way
-        if (searchRight) high = newX; else low = newX;
-        searchRight = !searchRight;
-      }
-    }
-
-    return mid;
-  }
-
-  /**
-   * dump the <x,y> pairs it computed found
-   */
-  public void dumpMemory() {
-    Double[] keys = memory.keySet().toArray(new Double[memory.keySet().size()]);
-    Arrays.sort(keys);
-    for (Double key : keys) {
-      System.err.println(key + "\t" + memory.get(key));
-    }
-  }
-
-
-  public void discretizeCompute(Function<Double, Double> function, int numPoints, double low, double high) {
-    double inc = (high - low) / numPoints;
-    memory = new HashMap<Double, Double>();
-    for (int i = 0; i < numPoints; i++) {
-      double x = low + i * inc;
-      double y = function.apply(x);
-      memory.put(x, y);
-      System.err.println("for point " + x + "\t" + y);
-    }
-    dumpMemory();
-  }
-
-  /**
-   * The point that is the GOLDEN_SECTION along the way from a to b.
-   * a may be less or greater than b, you find the point 60-odd percent
-   * of the way from a to b.
-   *
-   * @param a Interval minimum
-   * @param b Interval maximum
-   * @return The GOLDEN_SECTION along the way from a to b.
-   */
-  private double goldenMean(double a, double b) {
-    if (geometric) {
-      return a * Math.pow(b / a, GOLDEN_SECTION);
-    } else {
-      return a + (b - a) * GOLDEN_SECTION;
-    }
-  }
-
-  public static void main(String[] args) {
-    GoldenSectionLineSearch min =
-        new GoldenSectionLineSearch(true, 0.00001, 0.001, 121.0);
-    Function<Double, Double> f1 = new Function<Double, Double>() {
-      public Double apply(Double x) {
-        return Math.log(x * x - x + 1);
-      }
-    };
-    System.out.println(min.minimize(f1));
-    System.out.println();
-
-    min = new GoldenSectionLineSearch(false, 0.00001, 0.0, 1.0);
-    Function<Double,Double> f2 = new Function<Double,Double>() {
-       public Double apply(Double x) {
-         // this function used to fail in Galen's version; min should be 0.2
-         // return - x * (2 * x - 1) * (x - 0.8);
-         // this function fails if you don't find an initial bracketing
-         return x < 0.1 ? 0.0: (x > 0.2 ? 0.0: (x - 0.1) * (x - 0.2));
-         // return - Math.sin(x * Math.PI);
-         // return -(3 + 6 * x - 4 * x * x);
-       }
-    };
-
-    System.out.println(min.minimize(f2));
-  } // end main
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/HasEvaluators.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/HasEvaluators.java
deleted file mode 100644
index 42571d6..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/HasEvaluators.java
+++ /dev/null
@@ -1,10 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-/**
- * Indicates that an minimizer supports evaluation periodically
- *
- * @author Angel Chang
- */
-public interface HasEvaluators {
-  public void setEvaluators(int iters, Evaluator[] evaluators);
-}
\ No newline at end of file
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/HasFloatInitial.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/HasFloatInitial.java
deleted file mode 100644
index dfb4dc8..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/HasFloatInitial.java
+++ /dev/null
@@ -1,17 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-/**
- * Indicates that a function has a method for supplying an intitial value.
- *
- * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a>
- * @version 1.0
- * @since 1.0
- */
-public interface HasFloatInitial {
-  /**
-   * Returns the intitial point in the domain (but not necessarily a feasible one).
-   *
-   * @return a domain point
-   */
-  float[] initial();
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/HasInitial.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/HasInitial.java
deleted file mode 100644
index 16e1b67..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/HasInitial.java
+++ /dev/null
@@ -1,17 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-/**
- * Indicates that a function has a method for supplying an intitial value.
- *
- * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a>
- * @version 1.0
- * @since 1.0
- */
-public interface HasInitial {
-  /**
-   * Returns the intitial point in the domain (but not necessarily a feasible one).
-   *
-   * @return a domain point
-   */
-  double[] initial();
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/HybridMinimizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/HybridMinimizer.java
deleted file mode 100644
index 17de83e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/HybridMinimizer.java
+++ /dev/null
@@ -1,54 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-
-/**
- * <p>
- * Hybrid Minimizer is set up as a combination of two minimizers.  The first minimizer will ideally
- * quick convergence regardless of proximity to the true minimium, while the second minimizer would
- * generally be a Quadratic method, that is only fully quadratic near the solution.
- *
- * If you read this, send me an e-mail saying, "Alex!  You should finish adding the description to the Hybrid Minimizer!"
- *
- * @author <a href="mailto:akleeman@stanford.edu">Alex Kleeman</a>
- * @version 1.0
- * @since 1.0
- */
-public class HybridMinimizer implements Minimizer<DiffFunction>, HasEvaluators {
-
-  Minimizer<DiffFunction> firstMinimizer = new SMDMinimizer<DiffFunction>();
-  Minimizer<DiffFunction> secondMinimizer = new QNMinimizer(15);
-  int iterationCutoff = 1000;
-
-  public HybridMinimizer(Minimizer<DiffFunction> minimizerOne, Minimizer<DiffFunction> minimizerTwo, int iterationCutoff){
-    this.firstMinimizer = minimizerOne;
-    this.secondMinimizer = minimizerTwo;
-    this.iterationCutoff = iterationCutoff;
-  }
-
-  public void setEvaluators(int iters, Evaluator[] evaluators)
-  {
-    if (firstMinimizer instanceof HasEvaluators) {
-      ((HasEvaluators) firstMinimizer).setEvaluators(iters, evaluators);
-    }
-    if (secondMinimizer instanceof HasEvaluators) {
-      ((HasEvaluators) secondMinimizer).setEvaluators(iters, evaluators);
-    }
-  }
-
-
-  public double[] minimize(DiffFunction function, double functionTolerance, double[] initial) {
-			return minimize(function, functionTolerance, initial, -1);
-	}
-
-
-  public double[] minimize(DiffFunction function, double functionTolerance, double[] initial, int maxIterations) {
-
-    double[] x;
-    x = firstMinimizer.minimize(function,functionTolerance,initial,iterationCutoff);
-
-    x = secondMinimizer.minimize(function,functionTolerance,x,maxIterations);
-
-    return x;
-  }
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/LineSearcher.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/LineSearcher.java
deleted file mode 100644
index 51f5ac1..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/LineSearcher.java
+++ /dev/null
@@ -1,18 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-/**
- * The interface for one variable function minimizers.
- *
- * @author Jenny Finkel
- */
-public interface LineSearcher {
-
-  /**
-   * Attempts to find an unconstrained minimum of the objective
-   * <code>function</code> starting at <code>initial</code>, within
-   * <code>functionTolerance</code>.
-   *
-   * @param function          the objective function
-   */
-  double minimize(edu.stanford.nlp.util.Function<Double, Double> function) ;
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/MemoryEvaluator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/MemoryEvaluator.java
deleted file mode 100644
index 80a1950..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/MemoryEvaluator.java
+++ /dev/null
@@ -1,32 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import edu.stanford.nlp.util.MemoryMonitor;
-
-/**
- * Evaluate current memory usage
- *
- * @author Angel Chang
- */
-public class MemoryEvaluator implements Evaluator {
-  private MemoryMonitor memMonitor;
-
-  public MemoryEvaluator()
-  {
-    memMonitor = new MemoryMonitor();
-  }
-
-  public String toString()
-  {
-    return "Memory Usage";
-  }
-
-  public double evaluate(double[] x) {
-    StringBuilder sb = new StringBuilder("Memory Usage: ");
-    sb.append(" used(KB):").append(memMonitor.getUsedMemory(false));
-    sb.append(" maxAvailable(KB):").append(memMonitor.getMaxAvailableMemory(false));
-    sb.append(" max(KB):").append(memMonitor.getMaxMemory());
-    String memString = sb.toString();
-    System.err.println(memString);
-    return 0;
-  }
-}
\ No newline at end of file
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/Minimizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/Minimizer.java
deleted file mode 100644
index 2f5e317..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/Minimizer.java
+++ /dev/null
@@ -1,32 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-/**
- * The interface for unconstrained function minimizers.
- * <p/>
- * Implementations may also vary in their requirements for the
- * arguments.  For example, implementations may or may not care if the
- * <code>initial</code> feasible vector turns out to be non-feasible
- * (or null!).  Similarly, some methods may insist that objectives
- * and/or constraint <code>Function</code> objects actually be
- * <code>DiffFunction</code> objects.
- *
- * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a>
- * @version 1.0
- * @since 1.0
- */
-public interface Minimizer<T extends Function> {
-
-  /**
-   * Attempts to find an unconstrained minimum of the objective
-   * <code>function</code> starting at <code>initial</code>, within
-   * <code>functionTolerance</code>.
-   *
-   * @param function          the objective function
-   * @param functionTolerance a <code>double</code> value
-   * @param initial           a initial feasible point
-   * @return Unconstrained minimum of function
-   */
-  double[] minimize(T function, double functionTolerance, double[] initial);
-  double[] minimize(T function, double functionTolerance, double[] initial, int maxIterations);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/QNMinimizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/QNMinimizer.java
deleted file mode 100644
index f0a167f..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/QNMinimizer.java
+++ /dev/null
@@ -1,2332 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import java.io.FileOutputStream;
-import java.io.IOException;
-import java.io.PrintWriter;
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-import java.util.ArrayList;
-import java.util.List;
-
-import edu.stanford.nlp.math.ArrayMath;
-
-
-/**
- *
- * An implementation of L-BFGS for Quasi Newton unconstrained minimization.
- *
- * The general outline of the algorithm is taken from:
- * <blockquote>
- * <i>Numerical Optimization</i> (second edition) 2006
- * Jorge Nocedal and Stephen J. Wright
- * </blockquote>
- * A variety of different options are available.
- *
- * <h3>LINESEARCHES</h3>
- *
- * BACKTRACKING: This routine
- * simply starts with a guess for step size of 1. If the step size doesn't
- * supply a sufficient decrease in the function value the step is updated
- * through step = 0.1*step. This method is certainly simpler, but doesn't allow
- * for an increase in step size, and isn't well suited for Quasi Newton methods.
- *
- * MINPACK: This routine is based off of the implementation used in MINPACK.
- * This routine finds a point satisfying the Wolfe conditions, which state that
- * a point must have a sufficiently smaller function value, and a gradient of
- * smaller magnitude. This provides enough to prove theoretically quadratic
- * convergence. In order to find such a point the linesearch first finds an
- * interval which must contain a satisfying point, and then progressively
- * reduces that interval all using cubic or quadratic interpolation.
- *
- *
- * SCALING: L-BFGS allows the initial guess at the hessian to be updated at each
- * step. Standard BFGS does this by approximating the hessian as a scaled
- * identity matrix. To use this method set the scaleOpt to SCALAR. A better way
- * of approximate the hessian is by using a scaling diagonal matrix. The
- * diagonal can then be updated as more information comes in. This method can be
- * used by setting scaleOpt to DIAGONAL.
- *
- *
- * CONVERGENCE: Previously convergence was gauged by looking at the average
- * decrease per step dividing that by the current value and terminating when
- * that value because smaller than TOL. This method fails when the function
- * value approaches zero, so two other convergence criteria are used. The first
- * stores the initial gradient norm |g0|, then terminates when the new gradient
- * norm, |g| is sufficiently smaller: i.e., |g| &lt; eps*|g0| the second checks if
- * |g| &lt; eps*max( 1 , |x| ) which is essentially checking to see if the gradient
- * is numerically zero.
- *
- * Each of these convergence criteria can be turned on or off by setting the
- * flags:
- * <blockquote><code>
- * private boolean useAveImprovement = true;
- * private boolean useRelativeNorm = true;
- * private boolean useNumericalZero = true;
- * </code></blockquote>
- *
- * To use the QNMinimizer first construct it using
- * <blockquote><code>
- * QNMinimizer qn = new QNMinimizer(mem, true)
- * </code></blockquote>
- * mem - the number of previous estimate vector pairs to
- * store, generally 15 is plenty. true - this tells the QN to use the MINPACK
- * linesearch with DIAGONAL scaling. false would lead to the use of the criteria
- * used in the old QNMinimizer class.
- *
- * Then call:
- * <blockquote><code>
- * qn.minimize(dfunction,convergenceTolerance,initialGuess,maxFunctionEvaluations);
- * </code></blockquote>
- *
- * @author akleeman
- */
-
-public class QNMinimizer implements Minimizer<DiffFunction>, HasEvaluators {
-
-  private int fevals = 0; // the number of function evaluations
-  private int maxFevals = -1;
-  private int mem = 10; // the number of s,y pairs to retain for BFGS
-  private int its = 0; // the number of iterations
-  private Function monitor = null;
-  private boolean quiet;
-  private static final NumberFormat nf = new DecimalFormat("0.000E0");
-  private static final NumberFormat nfsec = new DecimalFormat("0.00"); // for times
-  private static final double ftol = 1e-4; // Linesearch parameters
-  private double gtol = 0.9;
-  private static final double aMin = 1e-12; // Min step size
-  private static final double aMax = 1e12; // Max step size
-  private static final double p66 = 0.66; // used to check getting more than 2/3 of width improvement
-  private static final double p5 = 0.5; // Some other magic constant
-  private static final int a = 0;  // used as array index
-  private static final int f = 1;  // used as array index
-  private static final int g = 2;  // used as array index
-  public boolean outputToFile = false;
-  private boolean success = false;
-  private boolean bracketed = false; // used for linesearch
-  private QNInfo presetInfo = null;
-  private boolean noHistory = true;
-
-  private boolean useAveImprovement = true;
-  private boolean useRelativeNorm = true;
-  private boolean useNumericalZero = true;
-
-  private int evaluateIters = 0;    // Evaluate every x interations (0 = no evaluation)
-  private Evaluator[] evaluators;  // separate set of evaluators to check how optimization is going
-
-  public enum eState {
-    TERMINATE_MAXEVALS, TERMINATE_RELATIVENORM, TERMINATE_GRADNORM, TERMINATE_AVERAGEIMPROVE, CONTINUE
-  }
-
-  public enum eLineSearch {
-    BACKTRACK, MINPACK
-  }
-
-  public enum eScaling {
-    DIAGONAL, SCALAR
-  }
-
-  eLineSearch lsOpt = eLineSearch.MINPACK;// eLineSearch.MINPACK;
-  eScaling scaleOpt = eScaling.DIAGONAL;// eScaling.DIAGONAL;
-  eState state = eState.CONTINUE;
-
-  public QNMinimizer(int m) {
-    mem = m;
-  }
-
-  public QNMinimizer(int m, boolean useRobustOptions) {
-    mem = m;
-    if (useRobustOptions) {
-      this.setRobustOptions();
-    }
-  }
-
-  public QNMinimizer() {
-  }
-
-  public QNMinimizer(Function monitor) {
-    this.monitor = monitor;
-  }
-
-  public QNMinimizer(FloatFunction monitor) {
-    System.err.println("Doesn't support floats yet");
-    System.exit(1);
-  }
-
-  public QNMinimizer(Function monitor, int m) {
-    this.monitor = monitor;
-    mem = m;
-  }
-
-  public QNMinimizer(Function monitor, int m, boolean useRobustOptions) {
-    this.monitor = monitor;
-    mem = m;
-    if (useRobustOptions) {
-      this.setRobustOptions();
-    }
-  }
-
-  public void setOldOptions() {
-    useAveImprovement = true;
-    useRelativeNorm = false;
-    useNumericalZero = false;
-    lsOpt = eLineSearch.BACKTRACK;
-    scaleOpt = eScaling.SCALAR;
-  }
-
-  public final void setRobustOptions() {
-    useAveImprovement = true;
-    useRelativeNorm = true;
-    useNumericalZero = true;
-    lsOpt = eLineSearch.MINPACK;
-    scaleOpt = eScaling.DIAGONAL;
-  }
-
-  public void setEvaluators(int iters, Evaluator[] evaluators)
-  {
-    this.evaluateIters = iters;
-    this.evaluators = evaluators;
-  }
-
-  public void terminateOnRelativeNorm(boolean toTerminate) {
-    useRelativeNorm = toTerminate;
-  }
-
-  public void terminateOnNumericalZero(boolean toTerminate) {
-    useNumericalZero = toTerminate;
-  }
-
-  public void terminateOnAverageImprovement(boolean toTerminate) {
-    useAveImprovement = toTerminate;
-  }
-
-  public void useMinPackSearch() {
-    lsOpt = eLineSearch.MINPACK;
-  }
-
-  public void useBacktracking() {
-    lsOpt = eLineSearch.BACKTRACK;
-  }
-
-  public void useDiagonalScaling() {
-    scaleOpt = eScaling.DIAGONAL;
-  }
-
-  public void useScalarScaling() {
-    scaleOpt = eScaling.SCALAR;
-  }
-
-  public boolean wasSuccessful() {
-    return success;
-  }
-
-  public void shutUp() {
-    this.quiet = true;
-  }
-
-  public void setM(int m) {
-    mem = m;
-  }
-
-  public static class SurpriseConvergence extends Throwable {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 4290178321643529559L;
-
-    public SurpriseConvergence(String s) {
-      super(s);
-    }
-  }
-
-  private static class MaxEvaluationsExceeded extends Throwable {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 8044806163343218660L;
-
-    public MaxEvaluationsExceeded(String s) {
-      super(s);
-    }
-  }
-
-  /**
-   *
-   * The Record class is used to collect information about the function value
-   * over a series of iterations. This information is used to determine
-   * convergence, and to (attempt to) ensure numerical errors are not an issue.
-   * It can also be used for plotting the results of the optimization routine.
-   *
-   * @author akleeman
-   *
-   */
-
-  public class Record {
-    // convergence options.
-    // have average difference like before
-    // zero gradient.
-
-    // for convergence test
-    List<Double> values = new ArrayList<Double>();
-    List<Double> gNorms = new ArrayList<Double>();
-    List<Double> xNorms = new ArrayList<Double>();
-    List<Integer> funcEvals = new ArrayList<Integer>();
-    List<Double> time = new ArrayList<Double>();
-    private double gNormInit = Double.MIN_VALUE; // This makes is so if for
-                                                  // some reason you try and
-                                                  // divide by the inital norm
-    // before its been initialized you dont get a NAN but you will also never
-    // get false convergence.
-    private double relativeTOL = 1e-8;
-    private double TOL = 1e-6;
-    private double EPS = 1e-6;
-    private long startTime;
-    private double gNormLast; // This is used for convergence.
-    private double[] xLast;
-    private int maxSize = 100; // This will control the number of func values /
-                                // gradients to retain.
-    private Function mon = null;
-    private boolean quiet = false;
-    private boolean memoryConscious = true;
-    private PrintWriter outputFile = null;
-
-    public Record() {
-    }
-
-    public Record(PrintWriter output) {
-      outputFile = output;
-    }
-
-    public Record(boolean beQuiet) {
-      this.quiet = beQuiet;
-    }
-
-    public Record(boolean beQuiet, Function monitor) {
-      this.quiet = beQuiet;
-      this.mon = monitor;
-    }
-
-    public Record(boolean beQuiet, Function monitor, double tolerance) {
-      this.quiet = beQuiet;
-      this.mon = monitor;
-      this.TOL = tolerance;
-    }
-
-    public Record(boolean beQuiet, Function monitor, double tolerance,
-        PrintWriter output) {
-      this.quiet = beQuiet;
-      this.mon = monitor;
-      this.TOL = tolerance;
-      this.outputFile = output;
-    }
-
-    public Record(boolean beQuiet, Function monitor, double tolerance,
-        double eps) {
-      this.quiet = beQuiet;
-      this.mon = monitor;
-      this.TOL = tolerance;
-      this.EPS = eps;
-    }
-
-    public void setEPS(double eps) {
-      EPS = eps;
-    }
-
-    public void setTOL(double tolerance) {
-      TOL = tolerance;
-    }
-
-    public void start(double val, double[] grad) {
-      start(val, grad, null);
-    }
-
-    /*
-     * Stops output to stdout.
-     */
-    public void shutUp() {
-      this.quiet = true;
-    }
-
-    /*
-     * Initialize the class, this starts the timer, and initiates the gradient
-     * norm for use with convergence.
-     */
-    public void start(double val, double[] grad, double[] x) {
-      startTime = System.currentTimeMillis();
-      gNormInit = ArrayMath.norm(grad);
-      xLast = x;
-      writeToFile(1, val, gNormInit, 0.0);
-
-      if (x != null) {
-        monitorX(x);
-      }
-    }
-
-    private void writeToFile(double fevals, double val, double gNorm,
-        double time) {
-      if (outputFile != null) {
-        outputFile.println(fevals + "," + val + "," + gNorm + "," + time);
-      }
-    }
-
-    public void add(double val, double[] grad, double[] x, int fevals) {
-
-      if (!memoryConscious) {
-        if (gNorms.size() > maxSize) {
-          gNorms.remove(0);
-        }
-        if (time.size() > maxSize) {
-          time.remove(0);
-        }
-        if (funcEvals.size() > maxSize) {
-          funcEvals.remove(0);
-        }
-        gNorms.add(gNormLast);
-        time.add(howLong());
-        funcEvals.add(fevals);
-      } else {
-        maxSize = 10;
-      }
-
-      gNormLast = ArrayMath.norm(grad);
-      if (values.size() > maxSize) {
-        values.remove(0);
-      }
-
-      values.add(val);
-
-      writeToFile(fevals, val, gNormLast, howLong());
-
-      say(nf.format(val) + " " + nfsec.format(howLong()) + "s");
-
-      xLast = x;
-      monitorX(x);
-    }
-
-    public void monitorX(double[] x) {
-      if (this.mon != null) {
-        this.mon.valueAt(x);
-      }
-    }
-
-    /**
-     * This function checks for convergence through first
-     * order optimality,  numerical convergence (i.e., zero numerical
-     * gradient), and also by checking the average improvement.
-     *
-     * @return A value of the enumeration type <p>eState</p> which tells the
-     *   state of the optimization routine indicating whether the routine should
-     *   terminate, and if so why.
-     */
-    public eState toContinue() {
-
-      double relNorm = gNormLast / gNormInit;
-      int size = values.size();
-      double newestVal = values.get(size - 1);
-      double previousVal = (size >= 10 ? values.get(size - 10) : values.get(0));
-      double averageImprovement = (previousVal - newestVal) / size;
-
-      // This is used to be able to reproduce results that were trained on the
-      // QNMinimizer before
-      // convergence criteria was updated.
-      if (useAveImprovement
-          && (size > 5 && Math.abs(averageImprovement / newestVal) < TOL)) {
-        return eState.TERMINATE_AVERAGEIMPROVE;
-      }
-
-      // Check to see if the gradient is sufficiently small
-      if (useRelativeNorm && relNorm <= relativeTOL) {
-        return eState.TERMINATE_RELATIVENORM;
-      }
-
-      if (useNumericalZero) {
-        // This checks if the gradient is sufficiently small compared to x that
-        // it is treated as zero.
-        if (gNormLast < EPS * Math.max(1.0, ArrayMath.norm_1(xLast))) {
-          // |g| < |x|_1
-          // First we do the one norm, because that's easiest, and always bigger.
-          if (gNormLast < EPS * Math.max(1.0, ArrayMath.norm(xLast))) {
-            // |g| < max(1,|x|)
-            // Now actually compare with the two norm if we have to.
-            System.err
-                .println("Gradient is numerically zero, stopped on machine epsilon.");
-            return eState.TERMINATE_GRADNORM;
-          }
-        }
-        // give user information about the norms.
-      }
-
-      say(" |" + nf.format(gNormLast) + "| {" + nf.format(relNorm) + "} "
-            + nf.format(Math.abs(averageImprovement / newestVal)) + " ");
-      return eState.CONTINUE;
-    }
-
-    /**
-     *  Return the time in seconds since this class was created.
-     *  @return The time in seconds since this class was created.
-     */
-    public double howLong() {
-      return ((System.currentTimeMillis() - startTime)) / 1000.0;
-    }
-
-  }
-
-  /**
-   * The QNInfo class is used to store information about the Quasi Newton
-   * update. it holds all the s,y pairs, updates the diagonal and scales
-   * everything as needed.
-   */
-  public class QNInfo {
-    // Diagonal Options
-    // Linesearch Options
-    // Memory stuff
-    private List<double[]> s = null;
-    private List<double[]> y = null;
-    private List<Double> rho = null;
-    private double gamma;
-    public double[] d = null;
-    private int mem;
-    private int maxMem = 20;
-    public eScaling scaleOpt = eScaling.SCALAR;
-
-    public QNInfo(int size) {
-      s = new ArrayList<double[]>();
-      y = new ArrayList<double[]>();
-      rho = new ArrayList<Double>();
-      gamma = 1;
-      mem = size;
-    }
-
-    public QNInfo() {
-      s = new ArrayList<double[]>();
-      y = new ArrayList<double[]>();
-      rho = new ArrayList<Double>();
-      gamma = 1;
-      mem = maxMem;
-    }
-
-    public QNInfo(List<double[]> sList, List<double[]> yList) {
-      s = new ArrayList<double[]>();
-      y = new ArrayList<double[]>();
-      rho = new ArrayList<Double>();
-      gamma = 1;
-      setHistory(sList, yList);
-    }
-
-    public int size() {
-      return s.size();
-    }
-
-    public double getRho(int ind) {
-      return rho.get(ind);
-    }
-
-    public double[] getS(int ind) {
-      return s.get(ind);
-    }
-
-    public double[] getY(int ind) {
-      return y.get(ind);
-    }
-
-    public void useDiagonalScaling() {
-      this.scaleOpt = eScaling.DIAGONAL;
-    }
-
-    public void useScalarScaling() {
-      this.scaleOpt = eScaling.SCALAR;
-    }
-
-    /*
-     * Free up that memory.
-     */
-    public void free() {
-      s = null;
-      y = null;
-      rho = null;
-      d = null;
-    }
-
-    public void clear() {
-      s.clear();
-      y.clear();
-      rho.clear();
-      d = null;
-    }
-
-    /*
-     * applyInitialHessian(double[] x)
-     *
-     * This function takes the vector x, and applies the best guess at the
-     * initial hessian to this vector, based off available information from
-     * previous updates.
-     */
-    public void setHistory(List<double[]> sList, List<double[]> yList) {
-      int size = sList.size();
-
-      for (int i = 0; i < size; i++) {
-        update(sList.get(i), yList.get(i), ArrayMath.innerProduct(yList.get(i),
-            yList.get(i)), ArrayMath.innerProduct(sList.get(i), yList.get(i)),
-            0, 1.0);
-      }
-    }
-
-    public double[] applyInitialHessian(double[] x) {
-
-      switch (scaleOpt) {
-      case SCALAR:
-        say("I");
-        ArrayMath.multiplyInPlace(x, gamma);
-        break;
-      case DIAGONAL:
-        say("D");
-        if (d != null) {
-          // Check sizes
-          if (x.length != d.length) {
-            throw new IllegalArgumentException("Vector of incorrect size passed to applyInitialHessian in QNInfo class");
-          }
-          // Scale element-wise
-          for (int i = 0; i < x.length; i++) {
-            x[i] = x[i] / (d[i]);
-          }
-        }
-        break;
-      }
-
-      return x;
-
-    }
-
-    /*
-     * The update function is used to update the hessian approximation used by
-     * the quasi newtion optimization routine.
-     *
-     * If everything has behaved nicely, this involves deciding on a new initial
-     * hessian through scaling or diagonal update, and then storing of the
-     * secant pairs s = x - previousX and y = grad - previousGrad.
-     *
-     * Things can go wrong, if any non convex behavior is detected (s^T y < 0)
-     * or numerical errors are likely the update is skipped.
-     *
-     */
-    public int update(double[] newX, double[] x, double[] newGrad,
-        double[] grad, double step) throws SurpriseConvergence {
-      // todo: add outofmemory error.
-      double[] newS, newY;
-      double sy, yy, sg;
-
-      // allocate arrays for new s,y pairs (or replace if the list is already
-      // full)
-      if (mem > 0 && s.size() == mem || s.size() == maxMem) {
-        newS = s.remove(0);
-        newY = y.remove(0);
-        rho.remove(0);
-      } else {
-        newS = new double[x.length];
-        newY = new double[x.length];
-      }
-
-      // Here we construct the new pairs, and check for positive definiteness.
-      sy = 0;
-      yy = 0;
-      sg = 0;
-      for (int i = 0; i < x.length; i++) {
-        newS[i] = newX[i] - x[i];
-        newY[i] = newGrad[i] - grad[i];
-        sy += newS[i] * newY[i];
-        yy += newY[i] * newY[i];
-        sg += newS[i] * newGrad[i];
-      }
-
-      // Apply the updates used for the initial hessian.
-
-      return update(newS, newY, yy, sy, sg, step);
-    }
-
-    private class NegativeCurvature extends Throwable {
-      /**
-       *
-       */
-      private static final long serialVersionUID = 4676562552506850519L;
-
-      public NegativeCurvature() {
-      }
-    }
-
-    private class ZeroGradient extends Throwable {
-      /**
-       *
-       */
-      private static final long serialVersionUID = -4001834044987928521L;
-
-      public ZeroGradient() {
-      }
-    }
-
-    public int update(double[] newS, double[] newY, double yy, double sy,
-        double sg, double step) {
-
-      // Initialize diagonal to the identity
-      if (scaleOpt == eScaling.DIAGONAL && d == null) {
-        d = new double[newS.length];
-        for (int i = 0; i < d.length; i++) {
-          d[i] = 1.0;
-        }
-      }
-
-      try {
-
-        if (sy < 0) {
-          throw new NegativeCurvature();
-        }
-
-        if (yy == 0.0) {
-          throw new ZeroGradient();
-        }
-
-        switch (scaleOpt) {
-        /*
-         * SCALAR: The standard L-BFGS initial approximation which is just a
-         * scaled identity.
-         */
-        case SCALAR:
-          gamma = sy / yy;
-          break;
-        /*
-         * DIAGONAL: A diagonal scaling matrix is used as the initial
-         * approximation. The updating method used is used thanks to Andrew
-         * Bradley of the ICME dept.
-         */
-        case DIAGONAL:
-
-          double sDs;
-          // Gamma is designed to scale such that a step length of one is
-          // generally accepted.
-          gamma = sy / (step * (sy - sg));
-          sDs = 0.0;
-          for (int i = 0; i < d.length; i++) {
-            d[i] = gamma * d[i];
-            sDs += newS[i] * d[i] * newS[i];
-          }
-          // This diagonal update was introduced by Andrew Bradley
-          for (int i = 0; i < d.length; i++) {
-            d[i] = (1 - d[i] * newS[i] * newS[i] / sDs) * d[i] + newY[i]
-                * newY[i] / sy;
-          }
-          // Here we make sure that the diagonal is alright
-          double minD = ArrayMath.min(d);
-          double maxD = ArrayMath.max(d);
-
-          // If things have gone bad, just fill with the SCALAR approx.
-          if (minD <= 0 || Double.isInfinite(maxD) || maxD / minD > 1e12) {
-            System.err
-                .println("QNInfo:update() : PROBLEM WITH DIAGONAL UPDATE");
-            double fill = yy / sy;
-            for (int i = 0; i < d.length; i++) {
-              d[i] = fill;
-            }
-          }
-
-        }
-
-        // If s is already of size mem, remove the oldest vector and free it up.
-
-        if (mem > 0 && s.size() == mem || s.size() == maxMem) {
-          s.remove(0);
-          y.remove(0);
-          rho.remove(0);
-        }
-
-        // Actually add the pair.
-        s.add(newS);
-        y.add(newY);
-        rho.add(1 / sy);
-
-      } catch (NegativeCurvature nc) {
-        // NOTE: if applying QNMinimizer to a non convex problem, we would still
-        // like to update the matrix
-        // or we could get stuck in a series of skipped updates.
-        say(" Negative curvature detected, update skipped ");
-      } catch (ZeroGradient zg) {
-        say(" Either convergence, or floating point errors combined with extremely linear region ");
-      }
-
-      return s.size();
-    } // end update
-
-  } // end class QNInfo
-
-  public void setHistory(List<double[]> s, List<double[]> y) {
-    presetInfo = new QNInfo(s, y);
-  }
-
-  /*
-   * computeDir()
-   *
-   * This function will calculate an approximation of the inverse hessian based
-   * off the seen s,y vector pairs. This particular approximation uses the BFGS
-   * update.
-   *
-   */
-
-  private void computeDir(double[] dir, double[] fg, QNInfo qn)
-      throws SurpriseConvergence {
-    System.arraycopy(fg, 0, dir, 0, fg.length);
-
-    int mmm = qn.size();
-    double[] as = new double[mmm];
-
-    for (int i = mmm - 1; i >= 0; i--) {
-      as[i] = qn.getRho(i) * ArrayMath.innerProduct(qn.getS(i), dir);
-      plusAndConstMult(dir, qn.getY(i), -as[i], dir);
-    }
-
-    // multiply by hessian approximation
-    qn.applyInitialHessian(dir);
-
-    for (int i = 0; i < mmm; i++) {
-      double b = qn.getRho(i) * ArrayMath.innerProduct(qn.getY(i), dir);
-      plusAndConstMult(dir, qn.getS(i), as[i] - b, dir);
-    }
-
-    ArrayMath.multiplyInPlace(dir, -1);
-  }
-
-  // computes d = a + b * c
-  private static double[] plusAndConstMult(double[] a, double[] b, double c,
-      double[] d) {
-    for (int i = 0; i < a.length; i++) {
-      d[i] = a[i] + c * b[i];
-    }
-    return d;
-  }
-
-  private void doEvaluation(double[] x) {
-    // Evaluate solution
-    if (evaluators == null) return;
-    for (Evaluator eval:evaluators) {
-      sayln("  Evaluating: " + eval.toString());
-      eval.evaluate(x);
-    }
-  }
-
-  public float[] minimize(DiffFloatFunction function, float functionTolerance,
-      float[] initial) {
-    System.err.println("Float not yet supported for QN");
-    System.exit(1);
-    return null;
-  }
-
-  public double[] minimize(DiffFunction function, double functionTolerance,
-      double[] initial) {
-    return minimize(function, functionTolerance, initial, -1);
-  }
-
-  public double[] minimize(DiffFunction dfunction, double functionTolerance,
-      double[] initial, int maxFunctionEvaluations) {
-    return minimize(dfunction, functionTolerance, initial,
-        maxFunctionEvaluations, null);
-  }
-
-  public double[] minimize(DiffFunction dfunction, double functionTolerance,
-      double[] initial, int maxFunctionEvaluations, QNInfo qn) {
-
-    say("QNMinimizer called on double function of "
-        + dfunction.domainDimension() + " variables,");
-    if (mem > 0) {
-      sayln(" using M = " + mem + ".");
-    } else {
-      sayln(" using dynamic setting of M.");
-    }
-
-    if (qn == null && presetInfo == null) {
-      qn = new QNInfo(mem);
-      noHistory = true;
-    } else if (presetInfo != null) {
-      qn = presetInfo;
-      noHistory = false;
-    } else if (qn != null) {
-      noHistory = false;
-    }
-
-    double[] x, newX, grad, newGrad, dir;
-    double value;
-    its = 0;
-    fevals = 0;
-    success = false;
-
-    qn.scaleOpt = scaleOpt;
-
-    // initialize weights
-    x = initial;
-
-    // initialize gradient
-    grad = new double[x.length];
-    newGrad = new double[x.length];
-    newX = new double[x.length];
-    dir = new double[x.length];
-
-    // initialize function value and gradient (gradient is stored in grad inside
-    // evaluateFunction)
-    value = evaluateFunction(dfunction, x, grad);
-
-    PrintWriter outFile = null;
-    PrintWriter infoFile = null;
-
-    if (outputToFile) {
-      try {
-        String baseName = "QN_m" + mem + "_" + lsOpt.toString() + "_"
-            + scaleOpt.toString();
-        outFile = new PrintWriter(new FileOutputStream(baseName + ".output"),
-            true);
-        infoFile = new PrintWriter(new FileOutputStream(baseName + ".info"),
-            true);
-        infoFile.println(dfunction.domainDimension() + "; DomainDimension ");
-        infoFile.println(mem + "; memory");
-      } catch (IOException e) {
-        System.err.println("Caught IOException outputing QN data to file: "
-            + e.getMessage());
-        System.exit(1);
-      }
-    }
-
-    Record rec = new Record(quiet, monitor, functionTolerance, outFile);
-    // sets the original gradient and x. Also stores the monitor.
-    rec.start(value, grad, x);
-
-    // Check if max Evaluations and Iterations have been provided.
-    maxFevals = (maxFunctionEvaluations > 0) ? maxFunctionEvaluations
-        : Integer.MAX_VALUE;
-    // maxIterations = (maxIterations > 0) ? maxIterations : Integer.MAX_VALUE;
-
-    sayln("               An explanation of the output:");
-    sayln("Iter           The number of iterations");
-    sayln("evals          The number of function evaluations");
-    sayln("SCALING        <D> Diagonal scaling was used; <I> Scaled Identity");
-    sayln("LINESEARCH     [## M steplength]  Minpack linesearch");
-    sayln("                   1-Function value was too high");
-    sayln("                   2-Value ok, gradient positive, positive curvature");
-    sayln("                   3-Value ok, gradient negative, positive curvature");
-    sayln("                   4-Value ok, gradient negative, negative curvature");
-    sayln("               [.. B]  Backtracking");
-    sayln("VALUE          The current function value");
-    sayln("TIME           Total elapsed time");
-    sayln("|GNORM|        The current norm of the gradient");
-    sayln("{RELNORM}      The ratio of the current to initial gradient norms");
-    sayln("AVEIMPROVE     The average improvement / current value");
-    sayln();
-    sayln("Iter ## evals ## <SCALING> [LINESEARCH] VALUE TIME |GNORM| {RELNORM} AVEIMPROVE");
-
-    boolean doEval = false;
-    // Beginning of the loop.
-    do {
-
-      try {
-        sayln();
-        doEval = (its > 0 && evaluateIters > 0 && its % evaluateIters == 0);
-        if (doEval) {
-          doEvaluation(x);
-        }
-        its += 1;
-        double newValue;
-        double[] newPoint = new double[3]; // initialized in loop
-        say("Iter " + its + " evals " + fevals + " ");
-
-        // Compute the search direction
-        say("<");
-        computeDir(dir, grad, qn);
-        say("> ");
-
-        // sanity check dir
-        boolean hasNaNDir = false;
-        boolean hasNaNGrad = false;
-        for (int i = 0; i < dir.length; i++) {
-          if (dir[i] != dir[i]) hasNaNDir = true;
-          if (grad[i] != grad[i]) hasNaNGrad = true;
-        }
-        if (hasNaNDir && !hasNaNGrad) {
-          say("(NaN dir likely due to Hessian approx - resetting) ");
-          qn.clear();
-          // re-compute the search direction
-          say("<");
-          computeDir(dir, grad, qn);
-          say("> ");
-        }
-
-        // perform line search
-        say("[");
-
-        // switch between line search options.
-        switch (lsOpt) {
-        case BACKTRACK:
-          newPoint = lineSearchBacktrack(dfunction, dir, x, newX, grad, value);
-          say("B");
-          break;
-        case MINPACK:
-          newPoint = lineSearchMinPack(dfunction, dir, x, newX, grad, value,
-              functionTolerance);
-          say("M");
-          break;
-        default:
-          sayln("Invalid line search option for QNMinimizer. ");
-          System.exit(1);
-          break;
-
-        }
-
-        newValue = newPoint[f];
-        System.err.print(" " + nf.format(newPoint[a]));
-        say("] ");
-
-        // This shouldn't actually evaluate anything since that should have been
-        // done in the lineSearch.
-        System.arraycopy(dfunction.derivativeAt(newX), 0, newGrad, 0,
-            newGrad.length);
-
-        // This is where all the s, y updates are applied.
-        qn.update(newX, x, newGrad, grad, newPoint[a]);
-
-        // Add the current value and gradient to the records, this also monitors
-        // X and writes to output
-        rec.add(newValue, newGrad, newX, fevals);
-
-        // shift
-        value = newValue;
-        // double[] temp = x;
-        // x = newX;
-        // newX = temp;
-        System.arraycopy(newX, 0, x, 0, x.length);
-        System.arraycopy(newGrad, 0, grad, 0, newGrad.length);
-
-        if (quiet) {
-          System.err.print(".");
-        }
-        if (fevals > maxFevals) {
-          throw new MaxEvaluationsExceeded(" Exceeded in minimize() loop ");
-        }
-
-      } catch (SurpriseConvergence s) {
-        sayln();
-        sayln("QNMinimizer aborted due to surprise convergence");
-        break;
-      } catch (MaxEvaluationsExceeded m) {
-        sayln();
-        sayln("QNMinimizer aborted due to maxiumum number of function evaluations");
-        sayln(m.toString());
-        sayln("** This is not an acceptable termination of QNMinimizer, consider    ");
-        sayln("** increasing the max number of evaluations, or safeguarding your    ");
-        sayln("** program by checking the QNMinimizer.wasSuccesful() method.        ");
-        break;
-      } catch (OutOfMemoryError oome) {
-        sayln();
-        qn.s.remove(0);
-        qn.y.remove(0);
-        qn.rho.remove(0);
-        qn.mem = qn.s.size();
-        System.err.println("Caught OutOfMemoryError, changing m = "+qn.mem);
-      }
-
-    } while ((state = rec.toContinue()) == eState.CONTINUE); // do
-
-    if (evaluateIters > 0) {
-      // do final evaluation
-      doEvaluation(x);
-    }
-
-    //
-    // Announce the reason minimization has terminated.
-    //
-    System.err.println();
-    switch (state) {
-    case TERMINATE_GRADNORM:
-      System.err
-          .println("QNMinimizer terminated due to numerically zero gradient: |g| < EPS  max(1,|x|) ");
-      success = true;
-      break;
-    case TERMINATE_RELATIVENORM:
-      System.err
-          .println("QNMinimizer terminated due to sufficient decrease in gradient norms: |g|/|g0| < TOL ");
-      success = true;
-      break;
-    case TERMINATE_AVERAGEIMPROVE:
-      System.err
-          .println("QNMinimizer terminated due to average improvement: | newest_val - previous_val | / |newestVal| < TOL ");
-      success = true;
-      break;
-    default:
-      System.err.println("QNMinimizer terminated without converging");
-      success = false;
-      break;
-    }
-
-    double completionTime = rec.howLong();
-    sayln("Total time spent in optimization: " + nfsec.format(completionTime) + "s");
-
-    if (outputToFile) {
-      infoFile.println(completionTime + "; Total Time ");
-      infoFile.println(fevals + "; Total evaluations");
-      infoFile.close();
-      outFile.close();
-    }
-
-    qn.free();
-    return x;
-
-  } // end minimize()
-
-
-
-  private void sayln() {
-    if (!quiet) {
-      System.err.println();
-    }
-  }
-
-  private void sayln(String s) {
-    if (!quiet) {
-      System.err.println(s);
-    }
-  }
-
-  private void say(String s) {
-    if (!quiet) {
-      System.err.print(s);
-    }
-  }
-
-  private double evaluateFunction(DiffFunction dfunc, double[] x, double[] grad) {
-    System.arraycopy(dfunc.derivativeAt(x), 0, grad, 0, grad.length);
-    fevals += 1;
-    return dfunc.valueAt(x);
-  }
-
-  /*
-   * lineSearchBacktrack is the original linesearch used for the first version
-   * of QNMinimizer. it only satisfies sufficient descent not the Wolfe
-   * conditions.
-   */
-  private double[] lineSearchBacktrack(Function func, double[] dir, double[] x,
-      double[] newX, double[] grad, double lastValue)
-      throws MaxEvaluationsExceeded {
-
-    double normGradInDir = ArrayMath.innerProduct(dir, grad);
-    say("(" + nf.format(normGradInDir) + ")");
-    if (normGradInDir > 0) {
-      say("{WARNING--- direction of positive gradient chosen!}");
-    }
-
-    // c1 can be anything between 0 and 1, exclusive (usu. 1/10 - 1/2)
-    double step, c1;
-
-    // for first few steps, we have less confidence in our initial step-size a
-    // so scale back quicker
-    if (its <= 2) {
-      step = 0.1;
-      c1 = 0.1;
-    } else {
-      step = 1.0;
-      c1 = 0.1;
-    }
-
-    // should be small e.g. 10^-5 ... 10^-1
-    double c = 0.01;
-
-    // double v = func.valueAt(x);
-    // c = c * mult(grad, dir);
-    c = c * normGradInDir;
-
-    double[] newPoint = new double[3];
-
-    while ((newPoint[f] = func.valueAt((plusAndConstMult(x, dir, step, newX)))) > lastValue
-        + c * step) {
-      fevals += 1;
-      if (newPoint[f] < lastValue) {
-        // an improvement, but not good enough... suspicious!
-        say("!");
-      } else {
-        say(".");
-      }
-      step = c1 * step;
-    }
-
-    newPoint[a] = step;
-    fevals += 1;
-    if (fevals > maxFevals) {
-      throw new MaxEvaluationsExceeded(
-          " Exceeded during linesearch() Function ");
-    }
-
-    return newPoint;
-  }
-
-  private double[] lineSearchMinPack(DiffFunction dfunc, double[] dir,
-      double[] x, double[] newX, double[] grad, double f0, double tol)
-      throws MaxEvaluationsExceeded {
-    double xtrapf = 4.0;
-    int info = 0;
-    int infoc = 1;
-    bracketed = false;
-    boolean stage1 = true;
-    double width = aMax - aMin;
-    double width1 = 2 * width;
-    // double[] wa = x;
-
-    // Should check input parameters
-
-    double g0 = ArrayMath.innerProduct(grad, dir);
-    if (g0 >= 0) {
-      // We're looking in a direction of positive gradient. This wont' work.
-      // set dir = -grad
-      for (int i = 0; i < x.length; i++) {
-        dir[i] = -grad[i];
-      }
-      g0 = ArrayMath.innerProduct(grad, dir);
-    }
-    double gTest = ftol * g0;
-
-    double[] newPt = new double[3];
-    double[] bestPt = new double[3];
-    double[] endPt = new double[3];
-
-    newPt[a] = 1.0; // Always guess 1 first, this should be right if the
-                    // function is "nice" and BFGS is working.
-
-    if (its == 1 && noHistory) {
-      newPt[a] = 1e-1;
-    }
-
-    bestPt[a] = 0.0;
-    bestPt[f] = f0;
-    bestPt[g] = g0;
-    endPt[a] = 0.0;
-    endPt[f] = f0;
-    endPt[g] = g0;
-
-    // int cnt = 0;
-
-    do {
-
-      double stpMin; // = aMin; [cdm: this initialization was always overridden below]
-      double stpMax; // = aMax; [cdm: this initialization was always overridden below]
-      if (bracketed) {
-        stpMin = Math.min(bestPt[a], endPt[a]);
-        stpMax = Math.max(bestPt[a], endPt[a]);
-      } else {
-        stpMin = bestPt[a];
-        stpMax = newPt[a] + xtrapf * (newPt[a] - bestPt[a]);
-      }
-
-      newPt[a] = Math.max(newPt[a], aMin);
-      newPt[a] = Math.min(newPt[a], aMax);
-
-      // Use the best point if we have some sort of strange termination
-      // conditions.
-      if ((bracketed && (newPt[a] <= stpMin || newPt[a] >= stpMax))
-          || fevals >= maxFevals || infoc == 0
-          || (bracketed && stpMax - stpMin <= tol * stpMax)) {
-        // todo: below..
-        plusAndConstMult(x, dir, bestPt[a], newX);
-        newPt[f] = bestPt[f];
-        newPt[a] = bestPt[a];
-      }
-
-      newPt[f] = dfunc.valueAt((plusAndConstMult(x, dir, newPt[a], newX)));
-      newPt[g] = ArrayMath.innerProduct(dfunc.derivativeAt(newX), dir);
-      double fTest = f0 + newPt[a] * gTest;
-      fevals += 1;
-
-      // Check and make sure everything is normal.
-      if ((bracketed && (newPt[a] <= stpMin || newPt[a] >= stpMax))
-          || infoc == 0) {
-        info = 6;
-        say(" line search failure: bracketed but no feasible found ");
-      }
-      if (newPt[a] == aMax && newPt[f] <= fTest && newPt[g] <= gTest) {
-        info = 5;
-        say(" line search failure: sufficient decrease, but gradient is more negative ");
-      }
-      if (newPt[a] == aMin && (newPt[f] > fTest || newPt[g] >= gTest)) {
-        info = 4;
-        say(" line search failure: minimum step length reached ");
-      }
-      if (fevals >= maxFevals) {
-        info = 3;
-        throw new MaxEvaluationsExceeded(
-            " Exceeded during linesearchMinPack() Function ");
-      }
-      if (bracketed && stpMax - stpMin <= tol * stpMax) {
-        info = 2;
-        say(" line search failure: interval is too small ");
-      }
-      if (newPt[f] <= fTest && Math.abs(newPt[g]) <= -gtol * g0) {
-        info = 1;
-      }
-
-      if (info != 0) {
-        return newPt;
-      }
-
-      // this is the first stage where we look for a point that is lower and
-      // increasing
-
-      if (stage1 && newPt[f] <= fTest && newPt[g] >= Math.min(ftol, gtol) * g0) {
-        stage1 = false;
-      }
-
-      // A modified function is used to predict the step only if
-      // we have not obtained a step for which the modified
-      // function has a nonpositive function value and nonnegative
-      // derivative, and if a lower function value has been
-      // obtained but the decrease is not sufficient.
-
-      if (stage1 && newPt[f] <= bestPt[f] && newPt[f] > fTest) {
-        newPt[f] = newPt[f] - newPt[a] * gTest;
-        bestPt[f] = bestPt[f] - bestPt[a] * gTest;
-        endPt[f] = endPt[f] - endPt[a] * gTest;
-
-        newPt[g] = newPt[g] - gTest;
-        bestPt[g] = bestPt[g] - gTest;
-        endPt[g] = endPt[g] - gTest;
-
-        infoc = getStep(x, dir, newX, f0, g0, newPt, bestPt, endPt, stpMin,
-            stpMax);
-
-        bestPt[f] = bestPt[f] + bestPt[a] * gTest;
-        endPt[f] = endPt[f] + endPt[a] * gTest;
-
-        bestPt[g] = bestPt[g] + gTest;
-        endPt[g] = endPt[g] + gTest;
-      } else {
-        infoc = getStep(x, dir, newX, f0, g0, newPt, bestPt, endPt, stpMin,
-            stpMax);
-      }
-
-      if (bracketed) {
-        if (Math.abs(endPt[a] - bestPt[a]) >= p66 * width1) {
-          newPt[a] = bestPt[a] + p5 * (endPt[a] - bestPt[a]);
-        }
-        width1 = width;
-        width = Math.abs(endPt[a] - bestPt[a]);
-      }
-
-    } while (true);
-  }
-
-
-  /*
-   * getStep()
-   *
-   * THIS FUNCTION IS A TRANSLATION OF A TRANSLATION OF THE MINPACK SUBROUTINE
-   * cstep(). Dianne O'Leary July 1991
-   *
-   * It was then interpreted from matlab implementation supplied by Andrew
-   * Bradley. Modification have been made for this particular application.
-   *
-   * This function is used to find a new safe guarded step to be used for
-   * linesearch procedures. Comments in the function were also taken from the
-   * matlab implementation.
-   *
-   */
-  private int getStep(double[] x, double[] dir, double[] newX, double f0,
-      double g0, double[] newPt, double[] bestPt, double[] endPt,
-      double stpMin, double stpMax) throws MaxEvaluationsExceeded {
-    int info = 0;
-
-    // Should check for input errors.
-    boolean bound = false;
-    double theta, gamma, p, q, r, s, stpc, stpq, stpf;
-    double signG = newPt[g] * bestPt[g] / Math.abs(bestPt[g]);
-
-    //
-    // First case. A higher function value.
-    // The minimum is bracketed. If the cubic step is closer
-    // to stx than the quadratic step, the cubic step is taken,
-    // else the average of the cubic and quadratic steps is taken.
-    //
-    if (newPt[f] > bestPt[f]) {
-      info = 1;
-      bound = true;
-      theta = 3 * (bestPt[f] - newPt[f]) / (newPt[a] - bestPt[a]) + bestPt[g]
-          + newPt[g];
-      s = Math.max(Math.max(theta, newPt[g]), bestPt[g]);
-      gamma = s
-          * Math.sqrt((theta / s) * (theta / s) - (bestPt[g] / s)
-              * (newPt[g] / s));
-      if (newPt[a] < bestPt[a]) {
-        gamma = -gamma;
-      }
-      p = (gamma - bestPt[g]) + theta;
-      q = ((gamma - bestPt[g]) + gamma) + newPt[g];
-      r = p / q;
-      stpc = bestPt[a] + r * (newPt[a] - bestPt[a]);
-      stpq = bestPt[a]
-          + ((bestPt[g] / ((bestPt[f] - newPt[f]) / (newPt[a] - bestPt[a]) + bestPt[g])) / 2)
-          * (newPt[a] - bestPt[a]);
-
-      if (Math.abs(stpc - bestPt[a]) < Math.abs(stpq - bestPt[a])) {
-        stpf = stpc;
-      } else {
-        stpf = stpq;
-        // stpf = stpc + (stpq - stpc)/2;
-      }
-      bracketed = true;
-      if (newPt[a] < 0.1) {
-        stpf = 0.01 * stpf;
-      }
-
-    } else if (signG < 0.0) {
-      //
-      // Second case. A lower function value and derivatives of
-      // opposite sign. The minimum is bracketed. If the cubic
-      // step is closer to stx than the quadratic (secant) step,
-      // the cubic step is taken, else the quadratic step is taken.
-      //
-      info = 2;
-      bound = false;
-      theta = 3 * (bestPt[f] - newPt[f]) / (newPt[a] - bestPt[a]) + bestPt[g]
-          + newPt[g];
-      s = Math.max(Math.max(theta, bestPt[g]), newPt[g]);
-      gamma = s
-          * Math.sqrt((theta / s) * (theta / s) - (bestPt[g] / s)
-              * (newPt[g] / s));
-      if (newPt[a] > bestPt[a]) {
-        gamma = -gamma;
-      }
-      p = (gamma - newPt[g]) + theta;
-      q = ((gamma - newPt[g]) + gamma) + bestPt[g];
-      r = p / q;
-      stpc = newPt[a] + r * (bestPt[a] - newPt[a]);
-      stpq = newPt[a] + (newPt[g] / (newPt[g] - bestPt[g]))
-          * (bestPt[a] - newPt[a]);
-      if (Math.abs(stpc - newPt[a]) > Math.abs(stpq - newPt[a])) {
-        stpf = stpc;
-      } else {
-        stpf = stpq;
-      }
-      bracketed = true;
-
-    } else if (Math.abs(newPt[g]) < Math.abs(bestPt[g])) {
-      //
-      // Third case. A lower function value, derivatives of the
-      // same sign, and the magnitude of the derivative decreases.
-      // The cubic step is only used if the cubic tends to infinity
-      // in the direction of the step or if the minimum of the cubic
-      // is beyond stp. Otherwise the cubic step is defined to be
-      // either stpmin or stpmax. The quadratic (secant) step is also
-      // computed and if the minimum is bracketed then the the step
-      // closest to stx is taken, else the step farthest away is taken.
-      //
-      info = 3;
-      bound = true;
-      theta = 3 * (bestPt[f] - newPt[f]) / (newPt[a] - bestPt[a]) + bestPt[g]
-          + newPt[g];
-      s = Math.max(Math.max(theta, bestPt[g]), newPt[g]);
-      gamma = s
-          * Math.sqrt(Math.max(0.0, (theta / s) * (theta / s) - (bestPt[g] / s)
-              * (newPt[g] / s)));
-      if (newPt[a] < bestPt[a]) {
-        gamma = -gamma;
-      }
-      p = (gamma - bestPt[g]) + theta;
-      q = ((gamma - bestPt[g]) + gamma) + newPt[g];
-      r = p / q;
-      if (r < 0.0 && gamma != 0.0) {
-        stpc = newPt[a] + r * (bestPt[a] - newPt[a]);
-      } else if (newPt[a] > bestPt[a]) {
-        stpc = stpMax;
-      } else {
-        stpc = stpMin;
-      }
-      stpq = newPt[a] + (newPt[g] / (newPt[g] - bestPt[g]))
-          * (bestPt[a] - newPt[a]);
-
-      if (bracketed) {
-        if (Math.abs(newPt[a] - stpc) < Math.abs(newPt[a] - stpq)) {
-          stpf = stpc;
-        } else {
-          stpf = stpq;
-        }
-      } else {
-        if (Math.abs(newPt[a] - stpc) > Math.abs(newPt[a] - stpq)) {
-          stpf = stpc;
-        } else {
-          stpf = stpq;
-        }
-      }
-
-    } else {
-      //
-      // Fourth case. A lower function value, derivatives of the
-      // same sign, and the magnitude of the derivative does
-      // not decrease. If the minimum is not bracketed, the step
-      // is either stpmin or stpmax, else the cubic step is taken.
-      //
-      info = 4;
-      bound = false;
-
-      if (bracketed) {
-        theta = 3 * (bestPt[f] - newPt[f]) / (newPt[a] - bestPt[a]) + bestPt[g]
-            + newPt[g];
-        s = Math.max(Math.max(theta, bestPt[g]), newPt[g]);
-        gamma = s
-            * Math.sqrt((theta / s) * (theta / s) - (bestPt[g] / s)
-                * (newPt[g] / s));
-        if (newPt[a] > bestPt[a]) {
-          gamma = -gamma;
-        }
-        p = (gamma - newPt[g]) + theta;
-        q = ((gamma - newPt[g]) + gamma) + bestPt[g];
-        r = p / q;
-        stpc = newPt[a] + r * (bestPt[a] - newPt[a]);
-        stpf = stpc;
-      } else if (newPt[a] > bestPt[a]) {
-        stpf = stpMax;
-      } else {
-        stpf = stpMin;
-      }
-
-    }
-
-    //
-    // Update the interval of uncertainty. This update does not
-    // depend on the new step or the case analysis above.
-    //
-    if (newPt[f] > bestPt[f]) {
-      copy(newPt, endPt);
-    } else {
-      if (signG < 0.0) {
-        copy(bestPt, endPt);
-      }
-      copy(newPt, bestPt);
-    }
-
-    say(String.valueOf(info));
-
-    //
-    // Compute the new step and safeguard it.
-    //
-    stpf = Math.min(stpMax, stpf);
-    stpf = Math.max(stpMin, stpf);
-    newPt[a] = stpf;
-
-    if (bracketed && bound) {
-      if (endPt[a] > bestPt[a]) {
-        newPt[a] = Math.min(bestPt[a] + p66 * (endPt[a] - bestPt[a]), newPt[a]);
-      } else {
-        newPt[a] = Math.max(bestPt[a] + p66 * (endPt[a] - bestPt[a]), newPt[a]);
-      }
-    }
-
-    return info;
-  }
-
-  private static void copy(double[] src, double[] dest) {
-    System.arraycopy(src, 0, dest, 0, src.length);
-  }
-
-  //
-  //
-  //
-  // private double[] lineSearchNocedal(DiffFunction dfunc, double[] dir,
-  // double[] x, double[] newX, double[] grad, double f0) throws
-  // MaxEvaluationsExceeded {
-  //
-  //
-  // double g0 = ArrayMath.innerProduct(grad,dir);
-  // if(g0 > 0){
-  // //We're looking in a direction of positive gradient. This wont' work.
-  // //set dir = -grad
-  // plusAndConstMult(new double[x.length],grad,-1,dir);
-  // g0 = ArrayMath.innerProduct(grad,dir);
-  // }
-  // say("(" + nf.format(g0) + ")");
-  //
-  //
-  // double[] newPoint = new double[3];
-  // double[] prevPoint = new double[3];
-  // newPoint[a] = 1.0; //Always guess 1 first, this should be right if the
-  // function is "nice" and BFGS is working.
-  //
-  // //Special guess for the first iteration.
-  // if(its == 1){
-  // double aLin = - f0 / (ftol*g0);
-  // //Keep aLin within aMin and 1 for the first guess. But make a more
-  // intelligent guess based off the gradient
-  // aLin = Math.min(1.0, aLin);
-  // aLin = Math.max(aMin, aLin);
-  // newPoint[a] = aLin; // Guess low at first since we have no idea of scale at
-  // first.
-  // }
-  //
-  // prevPoint[a] = 0.0;
-  // prevPoint[f] = f0;
-  // prevPoint[g] = g0;
-  //
-  // int cnt = 0;
-  //
-  // do{
-  // newPoint[f] = dfunc.valueAt((plusAndConstMult(x, dir, newPoint[a], newX)));
-  // newPoint[g] = ArrayMath.innerProduct(dfunc.derivativeAt(newX),dir);
-  // fevals += 1;
-  //
-  // //If fNew > f0 + small*aNew*g0 or fNew > fPrev
-  // if( (newPoint[f] > f0 + ftol*newPoint[a]*g0) || newPoint[f] > prevPoint[f]
-  // ){
-  // //We know there must be a point that satisfies the strong wolfe conditions
-  // between
-  // //the previous and new point, so search between these points.
-  // say("->");
-  // return zoom(dfunc,x,dir,newX,f0,g0,prevPoint,newPoint);
-  // }
-  //
-
-  // //Here we check if the magnitude of the gradient has decreased, if
-  // //it is more negative we can expect to find a much better point
-  // //by stepping a little farther.
-  //
-  // //If |gNew| < 0.9999 |g0|
-  // if( Math.abs(newPoint[g]) <= -gtol*g0 ){
-  // //This is exactly what we wanted
-  // return newPoint;
-  // }
-  //
-  // if (newPoint[g] > 0){
-  // //Hmm, our step is too big to be a satisfying point, lets look backwards.
-  // say("<-");//say("^");
-  //
-  // return zoom(dfunc,x,dir,newX,f0,g0,newPoint,prevPoint);
-  // }
-  //
-  // //if we made it here, our function value has decreased enough, but the
-  // gradient is more negative.
-  // //we should increase our step size, since we have potential to decrease the
-  // function
-  // //value a lot more.
-  // newPoint[a] *= 10; // this is stupid, we should interpolate it. since we
-  // already have info for quadratic at least.
-  // newPoint[f] = Double.NaN;
-  // newPoint[g] = Double.NaN;
-  // cnt +=1;
-  // say("*");
-  //
-  // //if(cnt > 10 || fevals > maxFevals){
-  // if(fevals > maxFevals){ throw new MaxEvaluationsExceeded(" Exceeded during
-  // zoom() Function ");}
-  //
-  // if(newPoint[a] > aMax){
-  // System.err.println(" max stepsize reached. This is unusual. ");
-  // System.exit(1);
-  // }
-  //
-  // }while(true);
-  //
-  // }
-
-  // private double interpolate( double[] point0, double[] point1){
-  // double newAlpha;
-
-  // double intvl = Math.abs(point0[a] -point1[a]);
-
-  // //if(point2 == null){
-  // if( Double.isNaN(point0[g]) ){
-  // //We dont know the gradient at aLow so do bisection
-  // newAlpha = 0.5*(point0[a] + point1[a]);
-  // }else{
-  // //We know the gradient so do Quadratic 2pt
-  // newAlpha = interpolateQuadratic2pt(point0,point1);
-  // }
-
-  // //If the newAlpha is outside of the bounds just do bisection.
-
-  // if( ((newAlpha > point0[a]) && (newAlpha > point1[a])) ||
-  // ((newAlpha < point0[a]) && (newAlpha < point1[a])) ){
-
-  // //bisection.
-  // return 0.5*(point0[a] + point1[a]);
-  // }
-
-  // //If we aren't moving fast enough, revert to bisection.
-  // if( ((newAlpha/intvl) < 1e-6) || ((newAlpha/intvl) > (1- 1e-6)) ){
-  // //say("b");
-  // return 0.5*(point0[a] + point1[a]);
-  // }
-
-  // return newAlpha;
-  // }
-
-  /*
-   * private double interpolate( List<double[]> pointList ,) {
-   *
-   * int n = pointList.size(); double newAlpha = 0.0;
-   *
-   * if( n > 2){ newAlpha =
-   * interpolateCubic(pointList.get(0),pointList.get(n-2),pointList.get(n-1));
-   * }else if(n == 2){
-   *
-   * //Only have two points
-   *
-   * if( Double.isNaN(pointList.get(0)[gInd]) ){ // We dont know the gradient at
-   * aLow so do bisection newAlpha = 0.5*(pointList.get(0)[aInd] +
-   * pointList.get(1)[aInd]); }else{ // We know the gradient so do Quadratic 2pt
-   * newAlpha = interpolateQuadratic2pt(pointList.get(0),pointList.get(1)); }
-   *
-   * }else { //not enough info to interpolate with!
-   * System.err.println("QNMinimizer:interpolate() attempt to interpolate with
-   * only one point."); System.exit(1); }
-   *
-   * return newAlpha;
-   *  }
-   */
-
-  // Returns the minimizer of a quadratic running through point (a0,f0) with
-  // derivative g0 and passing through (a1,f1).
-  // private double interpolateQuadratic2pt(double[] pt0, double[] pt1){
-  // if( Double.isNaN(pt0[g]) ){
-  // System.err.println("QNMinimizer:interpolateQuadratic - Gradient at point
-  // zero doesn't exist, interpolation failed");
-  // System.exit(1);
-  // }
-  // double aDif = pt1[a]-pt0[a];
-  // double fDif = pt1[f]-pt0[f];
-  // return (- pt0[g]*aDif*aDif)/(2*(fDif-pt0[g]*aDif)) + pt0[a];
-  // }
-  // private double interpolateCubic(double[] pt0, double[] pt1, double[] pt2){
-  // double a0 = pt1[a]-pt0[a];
-  // double a1 = pt2[a]-pt0[a];
-  // double f0 = pt1[f]-pt0[f];
-  // double f1 = pt2[f]-pt0[f];
-  // double g0 = pt0[g];
-  // double[][] mat = new double[2][2];
-  // double[] rhs = new double[2];
-  // double[] coefs = new double[2];
-  // double scale = 1/(a0*a0*a1*a1*(a1-a0));
-  // mat[0][0] = a0*a0;
-  // mat[0][1] = -a1*a1;
-  // mat[1][0] = -a0*a0*a0;
-  // mat[1][1] = a1*a1*a1;
-  // rhs[0] = f1 - g0*a1;
-  // rhs[1] = f0 - g0*a0;
-  // for(int i=0;i<2;i++){
-  // for(int j=0;j<2;j++){
-  // coefs[i] += mat[i][j]*rhs[j];
-  // }
-  // coefs[i] *= scale;
-  // }
-  // double a = coefs[0];
-  // double b = coefs[1];
-  // double root = b*b-3*a*g0;
-  // if( root < 0 ){
-  // System.err.println("QNminimizer:interpolateCubic - interpolate failed");
-  // System.exit(1);
-  // }
-  // return (-b+Math.sqrt(root))/(3*a);
-  // }
-
-  // private double[] zoom(DiffFunction dfunc, double[] x, double[] dir,
-  // double[] newX, double f0, double g0, double[] bestPoint, double[] endPoint)
-  // throws MaxEvaluationsExceeded {
-  // return zoom(dfunc,x, dir, newX,f0,g0, bestPoint, endPoint,null);
-  // }
-
-  // private double[] zoom(DiffFunction dfunc, double[] x, double[] dir,
-  // double[] newX, double f0, double g0, double[] bestPt, double[] endPt,
-  // double[] newPt) throws MaxEvaluationsExceeded {
-  // double width = Math.abs(bestPt[a] - endPt[a]);
-  // double reduction = 1.0;
-  // double p66 = 0.66;
-  // int info = 0;
-  // double stpf;
-  // double theta,gamma,s,p,q,r,stpc,stpq;
-  // boolean bound = false;
-  // boolean bracketed = false;
-  // int cnt = 1;
-  // if(newPt == null){ newPt = new double[3]; newPt[a] =
-  // interpolate(bestPt,endPt);}// quadratic interp
-
-  // do{
-  // say(".");
-  // newPt[f] = dfunc.valueAt((plusAndConstMult(x, dir, newPt[a] , newX)));
-  // newPt[g] = ArrayMath.innerProduct(dfunc.derivativeAt(newX),dir);
-  // fevals += 1;
-  // //If we have satisfied Wolfe...
-  // //fNew <= f0 + small*aNew*g0
-  // //|gNew| <= 0.9999*|g0|
-  // //return the point.
-  // if( (newPt[f] <= f0 + ftol*newPt[a]*g0) && Math.abs(newPt[g]) <= -gtol*g0
-  // ){
-  // //Sweet, we found a point that satisfies the strong wolfe conditions!!!
-  // lets return it.
-  // return newPt;
-  // }else{
-
-  // double signG = newPt[g]*bestPt[g]/Math.abs(bestPt[g]);
-  // //Our new point has a higher function value
-  // if( newPt[f] > bestPt[f]){
-  // info = 1;
-  // bound = true;
-  // theta = 3*(bestPt[f] - newPt[f])/(newPt[a] - bestPt[a]) + bestPt[g] +
-  // newPt[g];
-  // s = Math.max(Math.max(theta,newPt[g]), bestPt[g]);
-  // gamma = s*Math.sqrt( (theta/s)*(theta/s) - (bestPt[g]/s)*(newPt[g]/s) );
-  // if (newPt[a] < bestPt[a]){
-  // gamma = -gamma;
-  // }
-  // p = (gamma - bestPt[g]) + theta;
-  // q = ((gamma-bestPt[g]) + gamma) + newPt[g];
-  // r = p/q;
-  // stpc = bestPt[a] + r*(newPt[a] - bestPt[a]);
-  // stpq = bestPt[a] +
-  // ((bestPt[g]/((bestPt[f]-newPt[f])/(newPt[a]-bestPt[a])+bestPt[g]))/2)*(newPt[a]
-  // - bestPt[a]);
-  // if ( Math.abs(stpc-bestPt[a]) < Math.abs(stpq - bestPt[a] )){
-  // stpf = stpc;
-  // } else{
-  // stpf = stpq;
-  // //stpf = stpc + (stpq - stpc)/2;
-  // }
-  // bracketed = true;
-  // if (newPt[a] < 0.1){
-  // stpf = 0.01*stpf;
-  // }
-
-  // } else if (signG < 0.0){
-  // info = 2;
-  // bound = false;
-  // theta = 3*(bestPt[f] - newPt[f])/(newPt[a] - bestPt[a]) + bestPt[g] +
-  // newPt[g];
-  // s = Math.max(Math.max(theta,bestPt[g]),newPt[g]);
-  // gamma = s*Math.sqrt((theta/s)*(theta/s) - (bestPt[g]/s)*(newPt[g]/s));
-  // if (newPt[a] > bestPt[a]) {
-  // gamma = -gamma;
-  // }
-  // p = (gamma - newPt[g]) + theta;
-  // q = ((gamma - newPt[g]) + gamma) + bestPt[g];
-  // r = p/q;
-  // stpc = newPt[a] + r*(bestPt[a] - newPt[a]);
-  // stpq = newPt[a] + (newPt[g]/(newPt[g]-bestPt[g]))*(bestPt[a] - newPt[a]);
-  // if (Math.abs(stpc-newPt[a]) > Math.abs(stpq-newPt[a])){
-  // stpf = stpc;
-  // } else {
-  // stpf = stpq;
-  // }
-  // bracketed = true;
-  // } else if ( Math.abs(newPt[g]) < Math.abs(bestPt[g])){
-  // info = 3;
-  // bound = true;
-  // theta = 3*(bestPt[f] - newPt[f])/(newPt[a] - bestPt[a]) + bestPt[g] +
-  // newPt[g];
-  // s = Math.max(Math.max(theta,bestPt[g]),newPt[g]);
-  // gamma = s*Math.sqrt(Math.max(0.0,(theta/s)*(theta/s) -
-  // (bestPt[g]/s)*(newPt[g]/s)));
-  // if (newPt[a] < bestPt[a]){
-  // gamma = -gamma;
-  // }
-  // p = (gamma - bestPt[g]) + theta;
-  // q = ((gamma-bestPt[g]) + gamma) + newPt[g];
-  // r = p/q;
-  // if (r < 0.0 && gamma != 0.0){
-  // stpc = newPt[a] + r*(bestPt[a] - newPt[a]);
-  // } else if (newPt[a] > bestPt[a]){
-  // stpc = aMax;
-  // } else{
-  // stpc = aMin;
-  // }
-  // stpq = newPt[a] + (newPt[g]/(newPt[g]-bestPt[g]))*(bestPt[a] - newPt[a]);
-  // if(bracketed){
-  // if (Math.abs(newPt[a]-stpc) < Math.abs(newPt[a]-stpq)){
-  // stpf = stpc;
-  // } else {
-  // stpf = stpq;
-  // }
-  // } else{
-  // if (Math.abs(newPt[a]-stpc) > Math.abs(newPt[a]-stpq)){
-  // stpf = stpc;
-  // } else {
-  // stpf = stpq;
-  // }
-  // }
-
-  // }else{
-  // info = 4;
-  // bound = false;
-  // if (bracketed){
-  // theta = 3*(bestPt[f] - newPt[f])/(newPt[a] - bestPt[a]) + bestPt[g] +
-  // newPt[g];
-  // s = Math.max(Math.max(theta,bestPt[g]),newPt[g]);
-  // gamma = s*Math.sqrt((theta/s)*(theta/s) - (bestPt[g]/s)*(newPt[g]/s));
-  // if (newPt[a] > bestPt[a]) {
-  // gamma = -gamma;
-  // }
-  // p = (gamma - newPt[g]) + theta;
-  // q = ((gamma - newPt[g]) + gamma) + bestPt[g];
-  // r = p/q;
-  // stpc = newPt[a] + r*(bestPt[a] - newPt[a]);
-  // stpf = stpc;
-  // }else if( newPt[a] > bestPt[a]){
-  // stpf = aMax;
-  // } else {
-  // stpf = aMin;
-  // }
-  // }
-  // //Reduce the interval of uncertainty
-  // if (newPt[f] > bestPt[f]) {
-  // copy(newPt,endPt);
-  // }else{
-  // if (signG < 0.0){
-  // copy(bestPt,endPt);
-  // }
-  // copy(newPt,bestPt);
-  // }
-  // say("" + info );
-  // newPt[a] = stpf;
-  // if(bracketed && bound){
-  // if (endPt[a] > bestPt[a]){
-  // newPt[a] = Math.min(bestPt[a]+p66*(endPt[a]-bestPt[a]),newPt[a]);
-  // }else{
-  // newPt[a] = Math.max(bestPt[a]+p66*(endPt[a]-bestPt[a]),newPt[a]);
-  // }
-  // }
-  // }
-  // //Check to see if the step has reached an extreme.
-  // newPt[a] = Math.max(aMin, newPt[a]);
-  // newPt[a] = Math.min(aMax,newPt[a]);
-  // if( newPt[a] == aMin || newPt[a] == aMax){
-  // return newPt;
-  // }
-  // cnt +=1;
-  // if(fevals > maxFevals){
-  // throw new MaxEvaluationsExceeded(" Exceeded during zoom() Function ");}
-  // }while(true);
-  // }
-  // private double[] zoom2(DiffFunction dfunc, double[] x, double[] dir,
-  // double[] newX, double f0, double g0, double[] bestPoint, double[] endPoint)
-  // throws MaxEvaluationsExceeded {
-  //
-  // double[] newPoint = new double[3];
-  // double width = Math.abs(bestPoint[a] - endPoint[a]);
-  // double reduction = 0.0;
-  //
-  // int cnt = 1;
-  //
-  // //make sure the interval reduces enough.
-  // //if(reduction >= 0.66){
-  // //say(" |" + nf.format(reduction)+"| ");
-  // //newPoint[a] = 0.5*(bestPoint[a]+endPoint[a]);
-  // //} else{
-  // newPoint[a] = interpolate(bestPoint,endPoint);// quadratic interp
-  // //}
-  //
-  // do{
-  // //Check to see if the step has reached an extreme.
-  // newPoint[a] = Math.max(aMin, newPoint[a]);
-  // newPoint[a] = Math.min(aMax,newPoint[a]);
-  //
-  // newPoint[f] = dfunc.valueAt((plusAndConstMult(x, dir, newPoint[a] ,
-  // newX)));
-  // newPoint[g] = ArrayMath.innerProduct(dfunc.derivativeAt(newX),dir);
-  // fevals += 1;
-  //
-  // //fNew > f0 + small*aNew*g0 or fNew > fLow
-  // if( (newPoint[f] > f0 + ftol*newPoint[a]*g0) || newPoint[f] > bestPoint[f]
-  // ){
-  // //Our new point didn't beat the best point, so just reduce the interval
-  // copy(newPoint,endPoint);
-  // say(".");//say("l");
-  // }else{
-  //
-  // //if |gNew| <= 0.9999*|g0| If gNew is slightly smaller than g0
-  // if( Math.abs(newPoint[g]) <= -gtol*g0 ){
-  // //Sweet, we found a point that satisfies the strong wolfe conditions!!!
-  // lets return it.
-  // return newPoint;
-  // }
-  //
-  // //If we made it this far, we've found a point that has satisfied descent,
-  // but hasn't satsified
-  // //the decrease in gradient. if the new gradient is telling us >0 we need to
-  // look behind us
-  // //if the new gradient is negative still we can increase the step.
-  // if(newPoint[g]*(endPoint[a] - bestPoint[a] ) >= 0){
-  // //Get going the right way.
-  // say(".");//say("f");
-  // copy(bestPoint,endPoint);
-  // }
-  //
-  // if( (Math.abs(newPoint[a]-bestPoint[a]) < 1e-6) ||
-  // (Math.abs(newPoint[a]-endPoint[a]) < 1e-6) ){
-  // //Not moving fast enough.
-  // sayln("had to improvise a bit");
-  // newPoint[a] = 0.5*(bestPoint[a] + endPoint[a]);
-  // }
-  //
-  // say(".");//say("r");
-  // copy(newPoint,bestPoint);
-  // }
-  //
-  //
-  // if( newPoint[a] == aMin || newPoint[a] == aMax){
-  // return newPoint;
-  // }
-  //
-  // reduction = Math.abs(bestPoint[a] - endPoint[a]) / width;
-  // width = Math.abs(bestPoint[a] - endPoint[a]);
-  //
-  // cnt +=1;
-  //
-  //
-  // //if(Math.abs(bestPoint[a] -endPoint[a]) < 1e-12 ){
-  // //sayln();
-  // //sayln("!!!!!!!!!!!!!!!!!!");
-  // //sayln("points are too close");
-  // //sayln("!!!!!!!!!!!!!!!!!!");
-  // //sayln("f0 " + nf.format(f0));
-  // //sayln("f0+crap " + nf.format(f0 + cVal*bestPoint[a]*g0));
-  // //sayln("g0 " + nf.format(g0));
-  // //sayln("ptLow");
-  // //printPt(bestPoint);
-  // //sayln();
-  // //sayln("ptHigh");
-  // //printPt(endPoint);
-  // //sayln();
-  //
-  // //DiffFunctionTester.test(dfunc, x,1e-4);
-  // //System.exit(1);
-  // ////return dfunc.valueAt((plusAndConstMult(x, dir, aMin , newX)));
-  // //}
-  //
-  // //if( (cnt > 20) ){
-  //
-  // //sayln("!!!!!!!!!!!!!!!!!!");
-  // //sayln("! " + cnt + " iterations. I think we're out of luck");
-  // //sayln("!!!!!!!!!!!!!!!!!!");
-  // //sayln("f0" + nf.format(f0));
-  // //sayln("f0+crap" + nf.format(f0 + cVal*bestPoint[a]*g0));
-  // //sayln("g0 " + nf.format(g0));
-  // //sayln("bestPoint");
-  // //printPt(bestPoint);
-  // //sayln();
-  // //sayln("ptHigh");
-  // //printPt(endPoint);
-  // //sayln();
-  //
-  //
-  //
-  // ////if( cnt > 25 || fevals > maxFevals){
-  // ////System.err.println("Max evaluations exceeded.");
-  // ////System.exit(1);
-  // ////return dfunc.valueAt((plusAndConstMult(x, dir, aMin , newX)));
-  // ////}
-  // //}
-  //
-  // if(fevals > maxFevals){ throw new MaxEvaluationsExceeded(" Exceeded during
-  // zoom() Function ");}
-  //
-  // }while(true);
-  //
-  // }
-  //
-  // private double lineSearchNocedal(DiffFunction dfunc, double[] dir, double[]
-  // x, double[] newX, double[] grad, double f0, int maxEvals){
-  //
-  // boolean bracketed = false;
-  // boolean stage1 = false;
-  // double width = aMax - aMin;
-  // double width1 = 2*width;
-  // double stepMin = 0.0;
-  // double stepMax = 0.0;
-  // double xtrapf = 4.0;
-  // int nFevals = 0;
-  // double TOL = 1e-4;
-  // double X_TOL = 1e-8;
-  // int info = 0;
-  // int infoc = 1;
-  //
-  // double g0 = ArrayMath.innerProduct(grad,dir);
-  // if(g0 > 0){
-  // //We're looking in a direction of positive gradient. This wont' work.
-  // //set dir = -grad
-  // plusAndConstMult(new double[x.length],grad,-1,dir);
-  // g0 = ArrayMath.innerProduct(grad,dir);
-  // System.err.println("Searching in direction of positive gradient.");
-  // }
-  // say("(" + nf.format(g0) + ")");
-  //
-  //
-  // double[] newPt = new double[3];
-  // double[] bestPt = new double[3];
-  // double[] endPt = new double[3];
-  //
-  // newPt[a] = 1.0; //Always guess 1 first, this should be right if the
-  // function is "nice" and BFGS is working.
-  //
-  // if(its == 1){
-  // newPt[a] = 1e-6; // Guess low at first since we have no idea of scale.
-  // }
-  //
-  // bestPt[a] = 0.0;
-  // bestPt[f] = f0;
-  // bestPt[g] = g0;
-  //
-  // endPt[a] = 0.0;
-  // endPt[f] = f0;
-  // endPt[g] = g0;
-  //
-  // int cnt = 0;
-  //
-  // do{
-  // //Determine the max and min step size given what we know already.
-  // if(bracketed){
-  // stepMin = Math.min(bestPt[a], endPt[a]);
-  // stepMax = Math.max(bestPt[a], endPt[a]);
-  // } else{
-  // stepMin = bestPt[a];
-  // stepMax = newPt[a] + xtrapf*(newPt[a] - bestPt[a]);
-  // }
-  //
-  // //Make sure our next guess is within the bounds
-  // newPt[a] = Math.max(newPt[a], stepMin);
-  // newPt[a] = Math.min(newPt[a], stepMax);
-  //
-  // if( (bracketed && (newPt[a] <= stepMin || newPt[a] >= stepMax) )
-  // || nFevals > maxEvals || (bracketed & (stepMax-stepMin) <= TOL*stepMax)){
-  // System.err.println("Linesearch for QN, Need to make srue that newX is set
-  // before returning bestPt. -akleeman");
-  // System.exit(1);
-  // return bestPt[f];
-  // }
-  //
-  //
-  // newPt[f] = dfunc.valueAt((plusAndConstMult(x, dir, newPt[a], newX)));
-  // newPt[g] = ArrayMath.innerProduct(dfunc.derivativeAt(newX),dir);
-  // nFevals += 1;
-  //
-  // double fTest = f0 + newPt[a]*g0;
-  //
-  // System.err.println("fTest " + fTest + " new" + newPt[a] + " newf" +
-  // newPt[f] + " newg" + newPt[g] );
-  //
-  // if( ( bracketed && (newPt[a] <= stepMin | newPt[a] >= stepMax )) || infoc
-  // == 0){
-  // info = 6;
-  // }
-  //
-  // if( newPt[a] == stepMax && ( newPt[f] <= fTest || newPt[g] >= ftol*g0 )){
-  // info = 5;
-  // }
-  //
-  // if( (newPt[a] == stepMin && ( newPt[f] > fTest || newPt[g] >= ftol*g0 ) )){
-  // info = 4;
-  // }
-  //
-  // if( (nFevals >= maxEvals)){
-  // info = 3;
-  // }
-  //
-  // if( bracketed && stepMax-stepMin <= X_TOL*stepMax){
-  // info = 2;
-  // }
-  //
-  // if( (newPt[f] <= fTest) && (Math.abs(newPt[g]) <= - gtol*g0) ){
-  // info = 1;
-  // }
-  //
-  // if(info != 0){
-  // return newPt[f];
-  // }
-  //
-  // if(stage1 && newPt[f]< fTest && newPt[g] >= ftol*g0){
-  // stage1 = false;
-  // }
-  //
-  //
-  // if( stage1 && f<= bestPt[f] && f > fTest){
-  //
-  // double[] newPtMod = new double[3];
-  // double[] bestPtMod = new double[3];
-  // double[] endPtMod = new double[3];
-  //
-  // newPtMod[f] = newPt[f] - newPt[a]*ftol*g0;
-  // newPtMod[g] = newPt[g] - ftol*g0;
-  // bestPtMod[f] = bestPt[f] - bestPt[a]*ftol*g0;
-  // bestPtMod[g] = bestPt[g] - ftol*g0;
-  // endPtMod[f] = endPt[f] - endPt[a]*ftol*g0;
-  // endPtMod[g] = endPt[g] - ftol*g0;
-  //
-  // //this.cstep(newPtMod, bestPtMod, endPtMod, bracketed);
-  //
-  // bestPt[f] = bestPtMod[f] + bestPt[a]*ftol*g0;
-  // bestPt[g] = bestPtMod[g] + ftol*g0;
-  // endPt[f] = endPtMod[f] + endPt[a]*ftol*g0;
-  // endPt[g] = endPtMod[g] + ftol*g0;
-  //
-  // }else{
-  // //this.cstep(newPt, bestPt, endPt, bracketed);
-  // }
-  //
-  // double p66 = 0.66;
-  // double p5 = 0.5;
-  //
-  // if(bracketed){
-  // if ( Math.abs(endPt[a] - bestPt[a]) >= p66*width1){
-  // newPt[a] = bestPt[a] + p5*(endPt[a]-bestPt[a]);
-  // }
-  // width1 = width;
-  // width = Math.abs(endPt[a]-bestPt[a]);
-  // }
-  //
-  //
-  //
-  // }while(true);
-  //
-  // }
-  //
-  // private double cstepBackup( double[] newPt, double[] bestPt, double[]
-  // endPt, boolean bracketed ){
-  //
-  // double p66 = 0.66;
-  // int info = 0;
-  // double stpf;
-  // double theta,gamma,s,p,q,r,stpc,stpq;
-  // boolean bound = false;
-  //
-  // double signG = newPt[g]*bestPt[g]/Math.abs(bestPt[g]);
-  //
-  //
-  // //Our new point has a higher function value
-  // if( newPt[f] > bestPt[f]){
-  // info = 1;
-  // bound = true;
-  // theta = 3*(bestPt[f] - newPt[f])/(newPt[a] - bestPt[a]) + bestPt[g] +
-  // newPt[g];
-  // s = Math.max(Math.max(theta,newPt[g]), bestPt[g]);
-  // gamma = s*Math.sqrt( (theta/s)*(theta/s) - (bestPt[g]/s)*(newPt[g]/s) );
-  // if (newPt[a] < bestPt[a]){
-  // gamma = -gamma;
-  // }
-  // p = (gamma - bestPt[g]) + theta;
-  // q = ((gamma-bestPt[g]) + gamma) + newPt[g];
-  // r = p/q;
-  // stpc = bestPt[a] + r*(newPt[a] - bestPt[a]);
-  // stpq = bestPt[a] +
-  // ((bestPt[g]/((bestPt[f]-newPt[f])/(newPt[a]-bestPt[a])+bestPt[g]))/2)*(newPt[a]
-  // - bestPt[a]);
-  //
-  // if ( Math.abs(stpc-bestPt[a]) < Math.abs(stpq - bestPt[a] )){
-  // stpf = stpc;
-  // } else{
-  // stpf = stpc + (stpq - stpc)/2;
-  // }
-  // bracketed = true;
-  //
-  // } else if (signG < 0.0){
-  //
-  // info = 2;
-  // bound = false;
-  // theta = 3*(bestPt[f] - newPt[f])/(newPt[a] - bestPt[a]) + bestPt[g] +
-  // newPt[g];
-  // s = Math.max(Math.max(theta,bestPt[g]),newPt[g]);
-  // gamma = s*Math.sqrt((theta/s)*(theta/s) - (bestPt[g]/s)*(newPt[g]/s));
-  // if (newPt[a] > bestPt[a]) {
-  // gamma = -gamma;
-  // }
-  // p = (gamma - newPt[g]) + theta;
-  // q = ((gamma - newPt[g]) + gamma) + bestPt[g];
-  // r = p/q;
-  // stpc = newPt[a] + r*(bestPt[a] - newPt[a]);
-  // stpq = newPt[a] + (newPt[g]/(newPt[g]-bestPt[g]))*(bestPt[a] - newPt[a]);
-  // if (Math.abs(stpc-newPt[a]) > Math.abs(stpq-newPt[a])){
-  // stpf = stpc;
-  // } else {
-  // stpf = stpq;
-  // }
-  // bracketed = true;
-  // } else if ( Math.abs(newPt[g]) < Math.abs(bestPt[g])){
-  // info = 3;
-  // bound = true;
-  // theta = 3*(bestPt[f] - newPt[f])/(newPt[a] - bestPt[a]) + bestPt[g] +
-  // newPt[g];
-  // s = Math.max(Math.max(theta,bestPt[g]),newPt[g]);
-  // gamma = s*Math.sqrt(Math.max(0.0,(theta/s)*(theta/s) -
-  // (bestPt[g]/s)*(newPt[g]/s)));
-  // if (newPt[a] < bestPt[a]){
-  // gamma = -gamma;
-  // }
-  // p = (gamma - bestPt[g]) + theta;
-  // q = ((gamma-bestPt[g]) + gamma) + newPt[g];
-  // r = p/q;
-  // if (r < 0.0 && gamma != 0.0){
-  // stpc = newPt[a] + r*(bestPt[a] - newPt[a]);
-  // } else if (newPt[a] > bestPt[a]){
-  // stpc = aMax;
-  // } else{
-  // stpc = aMin;
-  // }
-  // stpq = newPt[a] + (newPt[g]/(newPt[g]-bestPt[g]))*(bestPt[a] - newPt[a]);
-  // if (bracketed){
-  // if (Math.abs(newPt[a]-stpc) < Math.abs(newPt[a]-stpq)){
-  // stpf = stpc;
-  // } else {
-  // stpf = stpq;
-  // }
-  // } else {
-  // if (Math.abs(newPt[a]-stpc) > Math.abs(newPt[a]-stpq)){
-  // System.err.println("modified to take only quad");
-  // stpf = stpq;
-  // }else{
-  // stpf = stpq;
-  // }
-  // }
-  //
-  //
-  // }else{
-  // info = 4;
-  // bound = false;
-  //
-  // if(bracketed){
-  // theta = 3*(bestPt[f] - newPt[f])/(newPt[a] - bestPt[a]) + bestPt[g] +
-  // newPt[g];
-  // s = Math.max(Math.max(theta,bestPt[g]),newPt[g]);
-  // gamma = s*Math.sqrt((theta/s)*(theta/s) - (bestPt[g]/s)*(newPt[g]/s));
-  // if (newPt[a] > bestPt[a]) {
-  // gamma = -gamma;
-  // }
-  // p = (gamma - newPt[g]) + theta;
-  // q = ((gamma - newPt[g]) + gamma) + bestPt[g];
-  // r = p/q;
-  // stpc = newPt[a] + r*(bestPt[a] - newPt[a]);
-  // stpf = stpc;
-  // }else if (newPt[a] > bestPt[a]){
-  // stpf = aMax;
-  // }else{
-  // stpf = aMin;
-  // }
-  //
-  // }
-  //
-  //
-  // if (newPt[f] > bestPt[f]) {
-  // copy(newPt,endPt);
-  // }else{
-  // if (signG < 0.0){
-  // copy(bestPt,endPt);
-  // }
-  // copy(newPt,bestPt);
-  // }
-  //
-  // stpf = Math.min(aMax,stpf);
-  // stpf = Math.max(aMin,stpf);
-  // newPt[a] = stpf;
-  // if (bracketed & bound){
-  // if (endPt[a] > bestPt[a]){
-  // newPt[a] = Math.min(bestPt[a]+p66*(endPt[a]-bestPt[a]),newPt[a]);
-  // }else{
-  // newPt[a] = Math.max(bestPt[a]+p66*(endPt[a]-bestPt[a]),newPt[a]);
-  // }
-  // }
-  //
-  // //newPt[f] =
-  // System.err.println("cstep " + nf.format(newPt[a]) + " info " + info);
-  // return newPt[a];
-  //
-  // }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/ResultStoringFloatMonitor.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/ResultStoringFloatMonitor.java
deleted file mode 100644
index 64132bc..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/ResultStoringFloatMonitor.java
+++ /dev/null
@@ -1,47 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import edu.stanford.nlp.maxent.Convert;
-
-import java.io.BufferedOutputStream;
-import java.io.DataOutputStream;
-import java.io.FileOutputStream;
-import java.io.IOException;
-import java.util.zip.GZIPOutputStream;
-
-/**
- * @author Galen Andrew
- */
-public class ResultStoringFloatMonitor implements FloatFunction {
-  int i = 0;
-  final int outputFreq;
-  final String filename;
-
-  public ResultStoringFloatMonitor(int outputFreq, String filename) {
-    if (filename.lastIndexOf('.') >= 0) {
-      this.filename = filename.substring(0, filename.lastIndexOf('.')) + ".fdat";
-    } else {
-      this.filename = filename + ".fdat";
-    }
-    this.outputFreq = outputFreq;
-  }
-
-  public float valueAt(float[] x) {
-    if (++i % outputFreq == 0) {
-      System.err.print("Storing interim (float) weights to " + filename + " ... ");
-      try {
-        DataOutputStream dos = new DataOutputStream(new BufferedOutputStream(new GZIPOutputStream(new FileOutputStream(filename))));
-        Convert.saveFloatArr(dos, x);
-        dos.close();
-      } catch (IOException e) {
-        System.err.println("ERROR!");
-        return 1;
-      }
-      System.err.println("DONE.");
-    }
-    return 0;
-  }
-
-  public int domainDimension() {
-    return 0;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/ResultStoringMonitor.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/ResultStoringMonitor.java
deleted file mode 100644
index 4bba394..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/ResultStoringMonitor.java
+++ /dev/null
@@ -1,47 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import edu.stanford.nlp.maxent.Convert;
-
-import java.io.BufferedOutputStream;
-import java.io.DataOutputStream;
-import java.io.FileOutputStream;
-import java.io.IOException;
-import java.util.zip.GZIPOutputStream;
-
-/**
- * @author Galen Andrew
- */
-public class ResultStoringMonitor implements Function {
-  int i = 0;
-  final int outputFreq;
-  final String filename;
-
-  public ResultStoringMonitor(int outputFreq, String filename) {
-    if (filename.lastIndexOf('.') >= 0) {
-      this.filename = filename.substring(0, filename.lastIndexOf('.')) + ".ddat";
-    } else {
-      this.filename = filename + ".ddat";
-    }
-    this.outputFreq = outputFreq;
-  }
-
-  public double valueAt(double[] x) {
-    if (++i % outputFreq == 0) {
-      System.err.print("Storing interim (double) weights to " + filename + " ... ");
-      try {
-        DataOutputStream dos = new DataOutputStream(new BufferedOutputStream(new GZIPOutputStream(new FileOutputStream(filename))));
-        Convert.saveDoubleArr(dos, x);
-        dos.close();
-      } catch (IOException e) {
-        System.err.println("ERROR!");
-        return 1;
-      }
-      System.err.println("DONE.");
-    }
-    return 0;
-  }
-
-  public int domainDimension() {
-    return 0;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/SGDMinimizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/SGDMinimizer.java
deleted file mode 100644
index 4e8bd22..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/SGDMinimizer.java
+++ /dev/null
@@ -1,155 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import edu.stanford.nlp.util.Pair;
-
-/**
- * <p>
- * Stochastic Gradient Descent Minimizer
- *
- *
- * The basic way to use the minimizer is with a null constructor, then
- * the simple minimize method:
- * <p/>
- * <p><code>Minimizer smd = new SGDMinimizer();</code>
- * <br><code>DiffFunction df = new SomeDiffFunction(); //Note that it must be a incidence of AbstractStochasticCachingDiffFunction</code>
- * <br><code>double tol = 1e-4;</code>
- * <br><code>double[] initial = getInitialGuess();</code>
- * <br><code>int maxIterations = someSafeNumber;
- * <br><code>double[] minimum = qnm.minimize(df,tol,initial,maxIterations);</code>
- * <p/>
- * Constructing with a null constructor will use the default values of
- * <p>
- * <br><code>batchSize = 15;</code>
- * <br><code>initialGain = 0.1;</code>
- * <p/>
- * <p/>
- *
- * @author <a href="mailto:akleeman@stanford.edu">Alex Kleeman</a>
- * @version 1.0
- * @since 1.0
- */
-public class SGDMinimizer<T extends Function> extends StochasticMinimizer<T> {
-  
-
-  @Override
-  public void shutUp() {
-    this.quiet = true;
-  }
-
-  public void setBatchSize(int batchSize) {
-    bSize = batchSize;
-  }
-
-  public SGDMinimizer() {
-  }
-
-  public SGDMinimizer(double SGDGain, int batchSize){
-    this(SGDGain,batchSize,50);
-  }
-  
-  public SGDMinimizer(double SGDGain, int batchSize, int passes){
-    this(SGDGain,batchSize,passes,Long.MAX_VALUE,false);
-  }
-
-  public SGDMinimizer(double SGDGain, int batchSize, int passes, boolean outputToFile){
-    this(SGDGain, batchSize, passes, Long.MAX_VALUE ,outputToFile );
-  }
-  
-  public SGDMinimizer(double SGDGain, int batchSize, int passes, long maxTime){
-    this(SGDGain,batchSize,passes,maxTime,false);
-  }
-  
-  public SGDMinimizer(double SGDGain, int batchSize, int passes, long maxTime, boolean outputToFile){
-    StochasticMinimizer.bSize = batchSize;
-    StochasticMinimizer.gain = SGDGain;
-    this.numPasses = passes;
-    this.outputIterationsToFile = outputToFile;
-    this.maxTime = maxTime;
-  }
-
-  
-  @Override
-  protected String getName(){
-    int g = (int) gain*1000;
-      return "SGD" + bSize + "_g" + g;
-  }
- 
-  
-  public Pair <Integer,Double> tune(Function function, double[] initial,long msPerTest,double gainLow,double gainHigh){
-    this.quiet = true;
-    StochasticMinimizer.gain = tuneGain(function, initial, msPerTest, gainLow,gainHigh);
-    StochasticMinimizer.bSize = tuneBatch(function,initial,msPerTest,1);
-    
-    return new Pair<Integer,Double>(StochasticMinimizer.bSize , StochasticMinimizer.gain);
-  }
-  
-  @Override
-  public Pair<Integer,Double> tune(Function function,double[] initial, long msPerTest){
-    return this.tune(function, initial, msPerTest, 1e-7,1.0);
-
-  }
-  
-  @Override
-  protected void takeStep(AbstractStochasticCachingDiffFunction dfunction){
-    for(int i = 0; i < x.length; i++){    
-      newX[i] = x[i] - gain*gainSchedule(k,5*numBatches)*grad[i];
-    }
-  }
-  
-
-
-
-
-
-  public static void main(String[] args) {
-    // optimizes test function using doubles and floats
-    // test function is (0.5 sum(x_i^2 * var_i)) ^ PI
-    // where var is a vector of random nonnegative numbers
-    // dimensionality is variable.
-    final int dim = 500000;
-    final double maxVar = 5;
-    final double[] var = new double[dim];
-    double[] init = new double[dim];
-
-    for (int i = 0; i < dim; i++) {
-      init[i] = ((i + 1) / (double) dim - 0.5);//init[i] = (Math.random() - 0.5);
-      var[i] = maxVar * (i + 1) / dim;
-    }
-
-    final double[] grads = new double[dim];
-
-    final DiffFunction f = new DiffFunction() {
-      public double[] derivativeAt(double[] x) {
-        double val = Math.PI * valuePow(x, Math.PI - 1);
-        for (int i = 0; i < dim; i++) {
-          grads[i] = x[i] * var[i] * val;
-        }
-        return grads;
-      }
-
-      public double valueAt(double[] x) {
-        return 1.0 + valuePow(x, Math.PI);
-      }
-
-      private double valuePow(double[] x, double pow) {
-        double val = 0.0;
-        for (int i = 0; i < dim; i++) {
-          val += x[i] * x[i] * var[i];
-        }
-        return Math.pow(val * 0.5, pow);
-      }
-
-      public int domainDimension() {
-        return dim;
-      }
-    };
-
-
-
-    SGDMinimizer<DiffFunction> min = new SGDMinimizer<DiffFunction>();
-
-    min.minimize(f, 1.0E-4, init);
-
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/SGDToQNMinimizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/SGDToQNMinimizer.java
deleted file mode 100644
index c5d3eef..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/SGDToQNMinimizer.java
+++ /dev/null
@@ -1,152 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import java.io.Serializable;
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-import java.util.List;
-
-import edu.stanford.nlp.sequences.SeqClassifierFlags;
-
-/**
- * <p>
- * Stochastic Gradient Descent To Quasi Newton Minimizer
- *
- *  An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction)
- * and executes SGD for the first couple passes,  During the final iterations a series of approximate hessian vector
- * products are built up...  These are then passed to the QNminimizer so that it can start right up without the typical
- * delay.
- *
- * @author <a href="mailto:akleeman@stanford.edu">Alex Kleeman</a>
- * @version 1.0
- * @since 1.0
- */
-public class SGDToQNMinimizer implements Minimizer<DiffFunction>,Serializable  {
-
-  /**
-   * 
-   */
-  private static final long serialVersionUID = -7551807670291500396L;
-  private int k;
-  private int bSize = 15;
-  private boolean quiet = false;
-
-  public boolean outputIterationsToFile = false;
-  public int outputFrequency = 10;
-  public double gain = 0.1;
-  private List<double[]> gradList = null;
-  private List<double[]> yList = null;
-  private List<double[]> sList = null;
-  private List<double[]> tmpYList = null;
-  private List<double[]> tmpSList = null;
-  private int memory = 5;
-  public int SGDPasses = -1;
-  public int QNPasses = -1;
-  private int hessSampleSize = 50;
-  private int QNMem = 10;
-  private boolean toTest = false;
-
-  public void shutUp() {
-    this.quiet = true;
-  }
-
-  public void setBatchSize(int batchSize) {
-    bSize = batchSize;
-  }
-
-
-  private static NumberFormat nf = new DecimalFormat("0.000E0");
-
-
-  public SGDToQNMinimizer(SeqClassifierFlags flags){
-    this.bSize = flags.stochasticBatchSize;
-    this.gain = flags.initialGain;
-    this.SGDPasses = flags.SGDPasses;
-    this.QNPasses = flags.QNPasses;
-    this.QNMem = flags.QNsize;
-    this.outputIterationsToFile = flags.outputIterationsToFile;
-    this.toTest = flags.testObjFunction;
-    this.hessSampleSize = flags.SGD2QNhessSamples; 
-  }
-
-  public SGDToQNMinimizer(double SGDGain, int batchSize, int sgdPasses, int qnPasses, int hessSamples, int QNMem){
-    this( SGDGain, batchSize, sgdPasses, qnPasses, hessSamples, QNMem,false);
-  }
-  
-  public SGDToQNMinimizer(double SGDGain, int batchSize, int sgdPasses, int qnPasses, int hessSamples, int QNMem,boolean outputToFile){
-    this.bSize = batchSize;
-    this.gain = SGDGain;
-    this.SGDPasses = sgdPasses;
-    this.QNPasses = qnPasses;
-    this.QNMem = QNMem;
-    this.outputIterationsToFile = outputToFile;
-    this.hessSampleSize = hessSamples;
-  }
-
-  public SGDToQNMinimizer(double SGDGain, int batchSize, int SGDPasses, int QNPasses){
-    this(SGDGain,batchSize,SGDPasses,QNPasses,50,10);
-  }
-
-  public void setQNMem(int mem){
-    QNMem = mem;
-  }
-
-  public void setHessSampleSize(int size){
-    hessSampleSize = size;
-  }
-
-  
-  protected String getName(){
-    int g = (int) (gain * 1000);
-    return "SGD2QN" + bSize + "_g" + g;
-  }
-
-  public double[] minimize(DiffFunction function, double functionTolerance, double[] initial) {
-    return minimize(function,functionTolerance,initial,-1);
-  }
-  
-  public double[] minimize(DiffFunction function, double functionTolerance, double[] initial, int maxIterations) {
-    sayln("SGDToQNMinimizer called on function of " + function.domainDimension() + " variables;");
-
-    // check for stochastic derivatives
-    if (!(function instanceof AbstractStochasticCachingDiffFunction)) {
-      throw new UnsupportedOperationException();
-    }
-    AbstractStochasticCachingDiffFunction dfunction = (AbstractStochasticCachingDiffFunction) function;
-
-    dfunction.method = StochasticCalculateMethods.GradientOnly;
-    
-    ScaledSGDMinimizer sgd = new ScaledSGDMinimizer(this.gain,this.bSize,this.SGDPasses,1,this.outputIterationsToFile);
-    QNMinimizer qn = new QNMinimizer(this.QNMem,true);
-    
-    double[] x = sgd.minimize(dfunction, functionTolerance, initial, this.SGDPasses);
-    
-    QNMinimizer.QNInfo qnInfo = qn.new QNInfo(sgd.sList , sgd.yList);
-    qnInfo.d = sgd.diag;    
-    
-    qn.minimize(dfunction, functionTolerance, x, this.QNPasses, qnInfo);
-
-    System.err.println("");
-    System.err.println("Minimization complete.");
-    System.err.println("");
-    System.err.println("Exiting for Debug");
-    return x;
-  }
-
-
-  private void sayln(String s) {
-    if (!quiet) {
-      System.err.println(s);
-    }
-  }
-
-  private void say(String s) {
-    if (!quiet) {
-      System.err.print(s);
-    }
-  }
-
-
-
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/SMDMinimizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/SMDMinimizer.java
deleted file mode 100644
index 06bde59..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/SMDMinimizer.java
+++ /dev/null
@@ -1,248 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.util.Pair;
-
-/**
- * <p>
- * Stochastic Meta Descent Minimizer based on
- *
- * <p>
- * Accelerated training of conditional random fields with stochastic gradient methods
- * S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy
- * June 2006 	 	Proceedings of the 23rd international conference on Machine learning ICML '06
- * Publisher: ACM Press
- * <p/>
- * The basic way to use the minimizer is with a null constructor, then
- * the simple minimize method:
- * <p/>
- * <p><code>Minimizer smd = new SMDMinimizer();</code>
- * <br><code>DiffFunction df = new SomeDiffFunction();</code>
- * <br><code>double tol = 1e-4;</code>
- * <br><code>double[] initial = getInitialGuess();</code>
- * <br><code>int maxIterations = someSafeNumber;
- * <br><code>double[] minimum = qnm.minimize(df,tol,initial,maxIterations);</code>
- * <p/>
- * Constructing with a null constructor will use the default values of
- * <p>
- * <br><code>batchSize = 15;</code>
- * <br><code>initialGain = 0.1;</code>
- * <br><code>useAlgorithmicDifferentiation = true;</code>
- * <p/>
- * <p/>
- *
- * @author <a href="mailto:akleeman@stanford.edu">Alex Kleeman</a>
- * @version 1.0
- * @since 1.0
- */
-public class SMDMinimizer<T extends Function> extends StochasticMinimizer<T> {
-
-
-
-  public double mu = 0.01;
-  public double lam = 1.0;
-  public double cPosDef = 0.00;
-  public double meta;
-  //DEBUG ONLY
-  public boolean printMinMax = false;
-  private double[] Hv,gains;
-  StochasticCalculateMethods method = null;
-
-  @Override
-  public void shutUp() {
-    this.quiet = true;
-  }
-
-  public void setBatchSize(int batchSize) {
-    bSize = batchSize;
-  }
-
-
-  private static NumberFormat nf = new DecimalFormat("0.000E0");
-
-  public SMDMinimizer() {
-  }
-
-  public SMDMinimizer(double initialSMDGain, int batchSize, StochasticCalculateMethods method, int passes) {
-    this(initialSMDGain, batchSize, method, passes, false);
-  }
-  
-  public SMDMinimizer(double initGain, int batchSize,StochasticCalculateMethods method, int passes, boolean outputToFile){
-    StochasticMinimizer.bSize = batchSize;
-    StochasticMinimizer.gain = initGain;
-    this.method = method;
-    this.numPasses = passes;
-    this.outputIterationsToFile = outputToFile;
-  }
-
-
-  @Override
-  public double[] minimize(Function function, double functionTolerance, double[] initial) {
-    return minimize(function, functionTolerance, initial, -1);
-  }
-
-
-  @Override
-  protected void init(AbstractStochasticCachingDiffFunction func){
-    func.method = this.method;
-    gains = new double[x.length];
-    v = new double[x.length];
-    Hv = new double[x.length];
-    for(int i = 0; i<v.length;i++){
-      gains[i] = gain;
-    }
-  }
-  
-  
-  private class setMu implements PropertySetter<Double>{
-    SMDMinimizer<T> parent = null;
-
-    public setMu(SMDMinimizer<T> smd){parent = smd;}
-    
-    public void set(Double in){
-      parent.mu = in ;
-    }
-  }
-  
-  private class setLam implements PropertySetter<Double>{
-    SMDMinimizer<T> parent = null;
-
-    public setLam(SMDMinimizer<T> smd){parent = smd;}
-    
-    public void set(Double in){
-      parent.lam = in ;
-    }
-  }
-  
-
-  
-  @Override
-  public Pair<Integer,Double> tune( edu.stanford.nlp.optimization.Function function,double[] initial, long msPerTest){
-
-    this.quiet = true;
-    this.lam = 0.9;
-    this.mu = tuneDouble(function,initial,msPerTest,new setMu(this),1e-8,1e-2);
-    this.lam = tuneDouble(function,initial,msPerTest,new setLam(this),0.1,1.0);
-    StochasticMinimizer.gain = tuneGain(function, initial, msPerTest, 1e-8,1.0);
-    StochasticMinimizer.bSize= tuneBatch(function,initial,msPerTest,1);
-    
-    System.err.println("Results:  gain: " + nf.format(StochasticMinimizer.gain) + "  batch " + StochasticMinimizer.bSize  + "   mu" + nf.format(this.mu) + "  lam" + nf.format(this.lam));
-    
-    return new Pair<Integer,Double>(StochasticMinimizer.bSize,StochasticMinimizer.gain);
-  }
-  
-  
-  @Override
-  protected void takeStep(AbstractStochasticCachingDiffFunction dfunction){
-    dfunction.returnPreviousValues = true;
-    
-    System.arraycopy(dfunction.HdotVAt(x,v,grad,bSize), 0, Hv, 0, Hv.length);
-    
-    //Update the weights
-    for(int i = 0; i < x.length; i++){
-      meta = 1-mu*grad[i]*v[i];
-      if(0.5 > meta){
-        gains[i] = gains[i]*0.5;
-      }else{
-        gains[i] = gains[i]*meta;
-      }
-      //Update gain history
-      v[i] = lam*(1+cPosDef*gains[i])*v[i] - gains[i]*(grad[i] + lam*Hv[i]);
-      //Get the next X
-      newX[i] = x[i] - gains[i]*grad[i];
-    }
-
-    if(printMinMax){
-      say("vMin = " + ArrayMath.min(v) + "  ");
-      say("vMax = " + ArrayMath.max(v) + "  ");
-      say("gainMin = " + ArrayMath.min(gains) + "  ");
-      say("gainMax = " + ArrayMath.max(gains) + "  ");
-    }
-    
-  }
-  
-
-  
-  
-  @Override
-  protected String getName(){
-    int m = (int) (mu*1000);
-    int l = (int) (lam * 1000);
-    int g = (int) (gain*10000);
-    return "SMD" + bSize +"_mu" + m + "_lam" + l + "_g" + g ;
-  }
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-  public static void main(String[] args) {
-    // optimizes test function using doubles and floats
-    // test function is (0.5 sum(x_i^2 * var_i)) ^ PI
-    // where var is a vector of random nonnegative numbers
-    // dimensionality is variable.
-    final int dim = 500000;
-    final double maxVar = 5;
-    final double[] var = new double[dim];
-    double[] init = new double[dim];
-
-    for (int i = 0; i < dim; i++) {
-      init[i] = ((i + 1) / (double) dim - 0.5);//init[i] = (Math.random() - 0.5);
-      var[i] = maxVar * (i + 1) / dim;
-    }
-
-    final double[] grads = new double[dim];
-
-    final DiffFunction f = new DiffFunction() {
-      public double[] derivativeAt(double[] x) {
-        double val = Math.PI * valuePow(x, Math.PI - 1);
-        for (int i = 0; i < dim; i++) {
-          grads[i] = x[i] * var[i] * val;
-        }
-        return grads;
-      }
-
-      public double valueAt(double[] x) {
-        return 1.0 + valuePow(x, Math.PI);
-      }
-
-      private double valuePow(double[] x, double pow) {
-        double val = 0.0;
-        for (int i = 0; i < dim; i++) {
-          val += x[i] * x[i] * var[i];
-        }
-        return Math.pow(val * 0.5, pow);
-      }
-
-      public int domainDimension() {
-        return dim;
-      }
-    };
-
-
-
-    SMDMinimizer<DiffFunction> min = new SMDMinimizer<DiffFunction>();
-
-    min.minimize(f, 1.0E-4, init);
-
-  }
-
-}
-
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/SQNMinimizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/SQNMinimizer.java
deleted file mode 100644
index 1f8680f..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/SQNMinimizer.java
+++ /dev/null
@@ -1,218 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import java.util.ArrayList;
-import java.util.List;
-
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.util.Pair;
-
-/**
- * Online Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in
- * <p>
- * Nocedal, Jorge, and Stephen J. Wright.  2000.  Numerical Optimization.  Springer.  pp. 224--
- * <p>
- * and modified to the online version presented in
- * <p>
- * A Stocahstic Quasi-Newton Method for Online Convex Optimization
- * Schraudolph, Yu, Gunter (2007)
- * <p>
- * As of now, it requires a
- * Stochastic differentiable function (AbstractStochasticCachingDiffFunction) as input.
- * <p/>
- * The basic way to use the minimizer is with a null constructor, then
- * the simple minimize method:
- * !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
- * THIS IS NOT UPDATE FOR THE STOCHASTIC VERSION YET.
- * !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
- * <p/>
- * <p><code>Minimizer qnm = new QNMinimizer();</code>
- * <br><code>DiffFunction df = new SomeDiffFunction();</code>
- * <br><code>double tol = 1e-4;</code>
- * <br><code>double[] initial = getInitialGuess();</code>
- * <br><code>double[] minimum = qnm.minimize(df,tol,initial);</code>
- * <p/>
- * <p/>
- * If you do not choose a value of M, it will use the max amount of memory
- * available, up to M of 20.  This will slow things down a bit at first due
- * to forced garbage collection, but is probably faster overall b/c you are
- * guaranteed the largest possible M.
- *
- * The Stochastic version was written by Alex Kleeman, but about 95% of the code
- * was taken directly from the previous QNMinimizer written mostly by Jenny.
- *
- * @author <a href="mailto:jrfinkel@stanford.edu">Jenny Finkel</a>
- * @author Galen Andrew
- * @author <a href="mailto:akleeman@stanford.edu">Alex Kleeman</a>
- * @version 1.0
- * @since 1.0
- */
-public class SQNMinimizer<T extends Function> extends StochasticMinimizer<T> {
-
-  private int M = 0;
-  private double lambda = 1.0;
-
-  private double cPosDef = 1;
-  private double epsilon = 1e-10;
-
-  private List<double[]> sList = new ArrayList<double[]>();
-  private List<double[]> yList = new ArrayList<double[]>();
-  private List<Double> roList = new ArrayList<Double>();
-  
-  double[] dir, s,y;
-  double ro;
-
-  public void setM(int m) {
-    M = m;
-  }
-
-  public SQNMinimizer(int m) {
-    M = m;
-  }
-
-  public SQNMinimizer() {
-  }
-
-  public SQNMinimizer(int mem,double initialGain, int batchSize,boolean output) {
-    StochasticMinimizer.gain = initialGain;
-    StochasticMinimizer.bSize = batchSize;
-    this.M = mem;
-    this.outputIterationsToFile = output;
-  }
-
-  
-  @Override
-  public String getName(){
-    int g = (int) (gain*1000.0);
-    return "SQN" + bSize + "_g" + g ;
-  }
-
-  // computes d = a + b * c
-  private static double[] plusAndConstMult(double[] a, double[] b, double c, double[] d) {
-    for (int i = 0; i < a.length; i++) {
-      d[i] = a[i] + c * b[i];
-    }
-    return d;
-  }
-
-  @Override
-  public Pair<Integer,Double> tune( edu.stanford.nlp.optimization.Function function,double[] initial, long msPerTest){
-    System.err.println("No tuning set yet");
-    return new Pair<Integer,Double>(StochasticMinimizer.bSize,StochasticMinimizer.gain);
-  }
-
-  private void computeDir(double[] dir, double[] fg) throws SQNMinimizer.SurpriseConvergence {
-    System.arraycopy(fg, 0, dir, 0, fg.length);
-
-    int mmm = sList.size();
-    double[] as = new double[mmm];
-    double[] factors = new double[dir.length];
-
-    for (int i = mmm - 1; i >= 0; i--) {
-      as[i] = roList.get(i) * ArrayMath.innerProduct(sList.get(i), dir);
-      plusAndConstMult(dir, yList.get(i), -as[i], dir);
-    }
-
-    // multiply by hessian approximation
-    if (mmm != 0) {
-      double[] y = yList.get(mmm - 1);
-      double yDotY = ArrayMath.innerProduct(y, y);
-      if (yDotY == 0) {
-        throw new SQNMinimizer.SurpriseConvergence("Y is 0!!");
-      }
-      double gamma = ArrayMath.innerProduct(sList.get(mmm - 1), y) / yDotY;
-      ArrayMath.multiplyInPlace(dir, gamma);
-    }else if(mmm == 0){
-      //This is a safety feature preventing too large of an initial step (see Yu Schraudolph Gunter)
-      ArrayMath.multiplyInPlace(dir,epsilon);
-    }
-
-    for (int i = 0; i < mmm; i++) {
-      double b = roList.get(i) * ArrayMath.innerProduct(yList.get(i), dir);
-      plusAndConstMult(dir, sList.get(i), cPosDef*as[i] - b, dir);
-      plusAndConstMult(ArrayMath.pairwiseMultiply(yList.get(i),sList.get(i)),factors,1,factors);
-    }
-
-    ArrayMath.multiplyInPlace(dir, -1);
-  }
-
-  
-  @Override
-  protected void init(AbstractStochasticCachingDiffFunction func){
-
-    sList = new ArrayList<double[]>();
-    yList = new ArrayList<double[]>();
-   dir = new double[func.domainDimension()];
-  }
-  
-
-  @Override
-  protected void takeStep(AbstractStochasticCachingDiffFunction dfunction){
-    
-    try {
-      computeDir(dir, newGrad);
-    } catch (SQNMinimizer.SurpriseConvergence s) {
-      clearStuff();
-    }
-    
-    double thisGain = gain*gainSchedule(k,5*numBatches);
-    for(int i = 0; i < x.length; i++){    
-      newX[i] = x[i] + thisGain*dir[i];
-    }
-
-    //Get a new pair...
-    say(" A ");
-    if (M > 0 && sList.size() == M || sList.size() == M) {
-      s = sList.remove(0);
-      y = yList.remove(0);
-    } else {
-      s = new double[x.length];
-      y = new double[x.length];
-    }
-
-
-    dfunction.recalculatePrevBatch = true;
-    System.arraycopy(dfunction.derivativeAt(newX,bSize),0,y,0,grad.length);
-    
-    
-    // compute s_k, y_k
-    ro = 0;
-    for(int i=0;i<x.length;i++){
-      s[i] = newX[i] - x[i];
-      y[i] = y[i] - newGrad[i] + lambda*s[i];
-      ro += s[i]*y[i];
-    }
-    
-    ro = 1.0 / ro;
-    sList.add(s);
-    yList.add(y);
-    roList.add(ro);
-    
-  }
-
-
-
-
-
- 
-
-  private void clearStuff() {
-    sList = null;
-    yList = null;
-    roList = null;
-  }
-
-  private static class SurpriseConvergence extends Throwable {
-    /**
-     * 
-     */
-    private static final long serialVersionUID = -4377976289620760327L;
-
-    public SurpriseConvergence(String s) {
-      super(s);
-    }
-  }
-
-
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/ScaledSGDMinimizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/ScaledSGDMinimizer.java
deleted file mode 100644
index 8cd6d5e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/ScaledSGDMinimizer.java
+++ /dev/null
@@ -1,432 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import java.io.IOException;
-import java.io.Serializable;
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-import java.util.ArrayList;
-import java.util.List;
-
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.sequences.SeqClassifierFlags;
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.util.Pair;
-/**
- * <p>
- * Stochastic Gradient Descent To Quasi Newton Minimizer
- *
- *  An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction)
- * and executes SGD for the first couple passes,  During the final iterations a series of approximate hessian vector
- * products are built up...  These are then passed to the QNminimizer so that it can start right up without the typical
- * delay.
- *
- * @author <a href="mailto:akleeman@stanford.edu">Alex Kleeman</a>
- * @version 1.0
- * @since 1.0
- */
-public class ScaledSGDMinimizer extends StochasticMinimizer {
-
-
-  private static int method = 1;  // 0=MinErr  1=Bradley
-  public List<double[]> yList = null;
-  public List<double[]> sList = null;
-  public double[] diag;
-
-  private double fixedGain = 0.99;
-  private double[] s,y;
-  private static int pairMem = 20;
-  private double aMax = 1e6;
-
-
-  public double tuneFixedGain(edu.stanford.nlp.optimization.Function function, double[] initial, long msPerTest,double fixedStart){
-
-    double[] xtest = new double[initial.length];
-    double fOpt = 0.0;
-    double factor = 1.2;
-    double min = Double.POSITIVE_INFINITY;
-    double result;
-    this.maxTime = msPerTest;
-    double prev = Double.POSITIVE_INFINITY;
-    // check for stochastic derivatives
-    if (!(function instanceof AbstractStochasticCachingDiffFunction)) {
-      throw new UnsupportedOperationException();
-    }
-    AbstractStochasticCachingDiffFunction dfunction = (AbstractStochasticCachingDiffFunction) function;
-
-    int it = 1;
-    boolean  toContinue = true;
-    double f = fixedStart;
-
-    do{
-      System.arraycopy(initial, 0, xtest, 0, initial.length);
-      System.err.println("");
-      this.fixedGain = f;
-      System.err.println("Testing with batchsize: " + StochasticMinimizer.bSize + "    gain:  " +  StochasticMinimizer.gain + "  fixedGain:  " + nf.format(fixedGain) );
-      this.numPasses = 10000;
-      this.minimize(function, 1e-100, xtest);
-      result = dfunction.valueAt(xtest);
-
-      if(it == 1){
-        f = f/factor;
-      }
-
-      if( result < min ){
-        min = result;
-        fOpt = this.fixedGain;
-        f = f/factor;
-        prev = result;
-      }else if(result < prev){
-        f =f/factor;
-        prev = result;
-      }else if(result > prev){
-        toContinue = false;
-      }
-
-      it += 1;
-      System.err.println("");
-      System.err.println("Final value is: " + nf.format(result));
-      System.err.println("Optimal so far is:  fixedgain: " + fOpt);
-    } while(toContinue);
-
-
-    return fOpt;
-
-  }
-
-
-  private class setFixedGain implements PropertySetter<Double>{
-    ScaledSGDMinimizer parent = null;
-
-    public setFixedGain(ScaledSGDMinimizer min){parent = min;}
-
-    public void set(Double in){
-      parent.fixedGain = in ;
-    }
-  }
-
-
-  @Override
-  public Pair<Integer,Double> tune( edu.stanford.nlp.optimization.Function function,double[] initial, long msPerTest){
-
-    this.quiet = true;
-
-    for(int i =0;i<2; i++){
-      this.fixedGain = tuneDouble(function,initial,msPerTest,new setFixedGain(this),0.1,1.0);
-      StochasticMinimizer.gain = tuneGain(function,initial,msPerTest,1e-7,1.0);
-      StochasticMinimizer.bSize= tuneBatch(function,initial,msPerTest,1);
-      System.err.println("Results:  fixedGain: " + nf.format(this.fixedGain) + "  gain: " + nf.format(StochasticMinimizer.gain) + "  batch " + StochasticMinimizer.bSize );
-    }
-
-    return new Pair<Integer,Double>(StochasticMinimizer.bSize,StochasticMinimizer.gain);
-  }
-
-  @Override
-  public void shutUp() {
-    this.quiet = true;
-  }
-
-  public void setBatchSize(int batchSize) {
-    bSize = batchSize;
-  }
-
-
-  private static NumberFormat nf = new DecimalFormat("0.000E0");
-
-
-  public ScaledSGDMinimizer(SeqClassifierFlags flags){
-    StochasticMinimizer.bSize = flags.stochasticBatchSize;
-    StochasticMinimizer.gain = flags.initialGain;
-    this.numPasses = flags.SGDPasses;
-    this.outputIterationsToFile = flags.outputIterationsToFile;
-  }
-
-
-  public ScaledSGDMinimizer(double SGDGain, int batchSize, int sgdPasses){
-    this(SGDGain,batchSize,sgdPasses, 1,false);
-  }
-
-  public ScaledSGDMinimizer(double SGDGain, int batchSize, int sgdPasses, int method){
-    this(SGDGain,batchSize,sgdPasses, method,false);
-  }
-
-  public ScaledSGDMinimizer(double SGDGain, int batchSize, int sgdPasses, int method,boolean outputToFile){
-    StochasticMinimizer.bSize = batchSize;
-    StochasticMinimizer.gain = SGDGain;
-    this.numPasses = sgdPasses;
-    ScaledSGDMinimizer.method = method;
-    this.outputIterationsToFile = outputToFile;
-  } 
-
-  public ScaledSGDMinimizer(double SGDGain, int batchSize){
-    this(SGDGain,batchSize,50);
-  }
-
-  public void setMaxTime(Long max){
-    maxTime = max;
-  }
-
-
-
-  @Override
-  public String getName(){
-    int g = (int) (gain*1000.0);
-    int f =  (int) (fixedGain *1000.0);
-    return "ScaledSGD" + bSize + "_g" + g + "_f" + f ;
-  }
-
-
-  @Override
-  protected void takeStep(AbstractStochasticCachingDiffFunction dfunction){
-    for(int i = 0; i < x.length; i++){    
-      double thisGain = fixedGain*gainSchedule(k,5*numBatches)/(diag[i]);
-      newX[i] = x[i] - thisGain*grad[i];
-    }
-
-    //Get a new pair...
-    say(" A ");
-    if (pairMem > 0 && sList.size() == pairMem || sList.size() == pairMem) {
-      s = sList.remove(0);
-      y = yList.remove(0);
-    } else {
-      s = new double[x.length];
-      y = new double[x.length];
-    }
-
-    s = ArrayMath.pairwiseSubtract(newX, x);
-    dfunction.recalculatePrevBatch = true;
-    System.arraycopy(dfunction.derivativeAt(newX,bSize),0,y,0,grad.length);
-    
-    ArrayMath.pairwiseSubtractInPlace(y,newGrad);  // newY = newY-newGrad
-    double[] comp = new double[x.length];
-    
-    sList.add(s);
-    yList.add(y);
-    updateDiag(diag,s,y);
-
-  }
-
-
-
-  @Override
-  protected void init(AbstractStochasticCachingDiffFunction func){
-    diag = new double[x.length];
-    memory = 1;
-    for(int i=0;i<x.length;i++){diag[i]=fixedGain/gain;}
-    sList = new ArrayList<double[]>();
-    yList = new ArrayList<double[]>();
-  }
-
-
-
-
-
-
-  private void updateDiag(double[] diag,double[] s,double[] y){
-
-    if(method == 0){
-      updateDiagMinErr(diag,s,y);
-    }else if(method == 1){
-      updateDiagBFGS(diag,s,y);
-    }
-
-  }
-
-
-  private void updateDiagBFGS(double[] diag,double[] s,double[] y){
-
-    double sDs = 0.0;
-    double sy = 0.0;
-    for(int i=0;i<s.length;i++){
-      sDs += s[i]*diag[i]*s[i];
-      sy += s[i]*y[i];
-    }
-    say("B");
-    double[] newDiag = new double[s.length];
-    boolean updateDiag = true;
-    for(int i=0;i<s.length;i++){
-      newDiag[i] = (1-diag[i]*s[i]*s[i]/sDs)*diag[i] + y[i]*y[i]/sy;
-      if(newDiag[i] < 0){updateDiag = false;break;}
-    }
-
-    if(updateDiag){
-      System.arraycopy(newDiag, 0, diag, 0, s.length);
-    }else{
-      say("!");
-    }
-
-  }
-
-
-
-
-  private void updateDiagMinErr(double[] diag,double[] s,double[] y){
-
-    double low = 0.0;
-    double high = 0.0;
-    double alpha = 10.0;
-    double tmp;
-
-    for(int i=0;i<s.length;i++){
-      tmp = s[i]*(y[i]-diag[i]);
-      high += tmp*tmp;
-    }
-    say("M");
-    alpha = Math.sqrt((ArrayMath.norm(y)/ArrayMath.norm(s))) *Math.sqrt(( 50.0/ (50.0 + k) ));
-    alpha = alpha*Math.sqrt(ArrayMath.average(diag));
-    say(" alpha " + nf.format(alpha));
-    high = Math.sqrt(high)/(2*alpha);
-
-    Function<Double,Double> func = new lagrange(s,y,diag,alpha);
-
-    double lamStar;
-    if( func.apply(low) > 0 ){
-      lamStar = getRoot(func,low,high);
-    } else{
-      lamStar = 0.0;
-      say(" * ");
-    }
-
-    for(int i=0;i<s.length;i++){
-      diag[i] = ( Math.abs(y[i]*s[i]) + 2*lamStar*diag[i])/(s[i]*s[i] + 1e-8 + 2*lamStar);
-      //diag[i] = (y[i]*s[i] + 2*lamStar*diag[i])/(s[i]*s[i] + 2*lamStar);
-      if (diag[i] <= 1.0/aMax) {
-        diag[i] = 1.0/gain;
-      }
-    }
-
-  }
-
-
-
-
-  private double getRoot(Function<Double,Double> func, double lower, double upper){
-    double mid = 0.5*(lower + upper);
-    double fval = 0.0;
-    double TOL = 1e-8;
-    double skew = 0.4;
-    int count = 0;
-
-    if(func.apply(upper) > 0 || func.apply(lower) < 0){
-      say("LOWER AND UPPER SUPPLIED TO GET ROOT DO NOT BOUND THE ROOT.");
-    }
-
-    fval = func.apply(mid);
-    while( Math.abs(fval) > TOL ){
-      count += 1;
-      if( fval > 0 ){
-        lower = mid;
-      } else if( fval < 0){
-        upper = mid;
-      }
-
-      mid = skew*lower + (1-skew)*upper;
-      fval = func.apply(mid);
-      if (count > 100){
-        break;
-      }
-    }
-    say( "   " +  nf.format(mid) + "  f" + nf.format(fval) );
-    return mid;
-  }
-
-
-  class lagrange implements Function<Double,Double>  {
-    double[] s;
-    double[] y;
-    double[] d;
-    double a;
-    double tmp;
-
-
-    public lagrange(double[] s, double[] y, double[] d, double a){
-      this.s = s;
-      this.y = y;
-      this.d = d;
-      this.a = a;
-    }
-
-    public Double apply(Double lam) {
-
-      double val = 0.0;
-      for(int i=0;i<s.length;i++){
-        tmp = (y[i]*s[i] + 2*lam*d[i])/(s[i]*s[i] + 2*lam) - d[i];
-        val += tmp*tmp;
-      }
-
-      val -= a*a;
-
-      return val;
-
-    }
-
-  }
-
-  public class weight implements Serializable{
-    public double [] w;
-    public double [] d;
-    private static final long serialVersionUID = 814182172645533781L;
-
-    public weight(double[] wt){
-      w = wt;
-    }
-
-    public weight(double[] wt,double[] di){
-      w = wt;
-      d = di;
-    }
-
-  }
-
-
-  public void serializeWeights(String serializePath,double[] weights){
-    serializeWeights(serializePath,weights,null);
-  }
-
-  public void serializeWeights(String serializePath,double[] weights,double[] diag) {
-
-    System.err.println("Serializing weights to " + serializePath + "...");
-
-    try {
-      weight out = new weight(weights,diag);
-      IOUtils.writeObjectToFile(out, serializePath);
-    } catch (Exception e) {
-      System.err.println("Error serializing to " + serializePath);
-      e.printStackTrace();
-    }
-
-  }
-
-
-  public double[] getWeights(String loadPath) throws IOException, ClassCastException, ClassNotFoundException {
-
-    System.err.println("Loading weights from " + loadPath + "...");
-    double[] wt;
-    weight w;
-
-    w = (weight) IOUtils.readObjectFromFile(loadPath);
-    wt = w.w;
-
-    return wt;
-
-  }
-
-  public double[] getDiag(String loadPath) throws IOException, ClassCastException, ClassNotFoundException {
-
-    System.err.println("Loading weights from " + loadPath + "...");
-    double[] diag;
-    weight w;
-
-    w = (weight) IOUtils.readObjectFromFile(loadPath);
-    diag = w.d;
-
-    return diag;
-
-  }
-
-
-
-
-
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/StochasticCalculateMethods.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/StochasticCalculateMethods.java
deleted file mode 100644
index fc6b7d8..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/StochasticCalculateMethods.java
+++ /dev/null
@@ -1,56 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-/**
- * This enumeratin was created to organize the selection of different methods for stochastic
- * calculations.  It was also created for use with Stochastic Meta Descent (SMDMinimizer) due
- * to the need for Hessian Vector Products, and the inefficiency of continuing to calculate these
- * vector products in other minimization methods like Stochastic Gradient Descent (SGDMinimizer)
- *
- * @author Alex Kleeman (akleeman@stanford.edu)
- */
-public enum StochasticCalculateMethods {
-
-  NoneSpecified(false),
-  /*  Used for procedures like Stochastic Gradient Descent */
-  GradientOnly (false),
-  /*  This is used with the Objective Function can handle calculations using Algorithmic Differentiation*/
-  AlgorithmicDifferentiation (true),
-  /*  It is often more efficient to calculate the Finite difference within one single for loop,
-      if the objective function can handle this, this method should be used instead of
-       ExternalFiniteDifference
-   */
-  IncorporatedFiniteDifference (true),
-  /*  ExternalFiniteDifference uses two calls to the objective function to come up with an approximation of
-      the H.v
-   */
-  ExternalFiniteDifference (false);
-
-
-  /*
-  *This boolean is true if the Objective Function is required to calculate the hessian vector product
-  *   In the case of ExternalFiniteDifference this is false since two calls are made to the objective
-  *   function.
-  */
-  private boolean objFuncCalculatesHdotV;
-
-  StochasticCalculateMethods(boolean ObjectiveFunctionCalculatesHdotV){
-    this.objFuncCalculatesHdotV = ObjectiveFunctionCalculatesHdotV;
-  }
-
-  public boolean calculatesHessianVectorProduct(){
-    return objFuncCalculatesHdotV;
-  }
-
-  public static StochasticCalculateMethods parseMethod(String method) {
-    if (method.equalsIgnoreCase("AlgorithmicDifferentiation")){
-      return StochasticCalculateMethods.AlgorithmicDifferentiation;
-    } else if(method.equalsIgnoreCase("IncorporatedFiniteDifference")){
-      return StochasticCalculateMethods.IncorporatedFiniteDifference ;
-    } else if(method.equalsIgnoreCase("ExternalFinitedifference")){
-      return StochasticCalculateMethods.ExternalFiniteDifference ;
-    } else {
-      return null;
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/StochasticDiffFunctionTester.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/StochasticDiffFunctionTester.java
deleted file mode 100644
index 197ff6c..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/StochasticDiffFunctionTester.java
+++ /dev/null
@@ -1,730 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import edu.stanford.nlp.math.ArrayMath;
-
-import java.util.Random;
-import java.util.ArrayList;
-import java.util.List;
-import java.text.NumberFormat;
-import java.text.DecimalFormat;
-import java.io.PrintWriter;
-import java.io.FileOutputStream;
-import java.io.IOException;
-
-/**
- * @author Alex Kleeman
- */
-public class StochasticDiffFunctionTester {
-  static private double EPS = 1e-8;
-  static private boolean quiet = false;
-
-  protected int testBatchSize;
-  protected int numBatches;
-  protected AbstractStochasticCachingDiffFunction thisFunc;
-
-  double[]  approxGrad,fullGrad,diff,Hv,HvFD,v,curGrad,gradFD;
-  double diffNorm,diffValue,fullValue,approxValue,diffGrad,maxGradDiff = 0.0,maxHvDiff = 0.0;
-  Random generator;
-  private static NumberFormat nf = new DecimalFormat("00.0");
-
-  public StochasticDiffFunctionTester(Function function){
-
-    // check for derivatives
-    if (!(function instanceof AbstractStochasticCachingDiffFunction)) {
-      System.err.println("Attempt to test non stochastic function using StochasticDiffFunctionTester");
-      throw new UnsupportedOperationException();
-    }
-
-    thisFunc = (AbstractStochasticCachingDiffFunction) function; // Make sure the function is Stochastic
-
-    generator = new Random(System.currentTimeMillis());  // used to generate random test vectors
-
-    //  Look for a good batchSize to test with by getting factors
-    testBatchSize = (int) getTestBatchSize(thisFunc.dataDimension());
-
-    //  Again make sure that our calculated batchSize is actually valid
-    if(testBatchSize < 0 || testBatchSize > thisFunc.dataDimension() || (thisFunc.dataDimension()%testBatchSize != 0)){
-      System.err.println("Invalid testBatchSize found, testing aborted.  Data size: " + thisFunc.dataDimension() + " batchSize: " + testBatchSize);
-      System.exit(1);
-    }
-
-    numBatches = thisFunc.dataDimension()/testBatchSize;
-
-    sayln("StochasticDiffFunctionTester created with:");
-    sayln("   data dimension  = " + thisFunc.dataDimension());
-    sayln("   batch size = " + testBatchSize);
-    sayln("   number of batches = " + numBatches);
-
-  }
-
-
-
-  private void sayln(String s) {
-    if (!quiet) {
-      System.err.println(s);
-    }
-  }
-
-
-
-
-
-
-
-
-  //  Get Prime Factors of an integer ....
-  //  Code was originally from    http://www.idinews.com/sourcecode/IntegerFunction.html
-  //  Decompose integer into prime factors
-  //  ------------------------------------
-
-  //  Upon return result[0] contains the number of factors (0 if N is 0), and
-  //  result[1] . . . result[result[0]] contain the factors in ascending order.
-
-  private static long[] primeFactors(long N)
-  {long [] fctr = new long[64];       //  Result array
-    long n = Math.abs(N);              //  Guard against negative
-
-    short fctrIndex = 0;
-
-    if (n > 0) {                       //  Guard against zero
-
-      //  First do special cases 2 and 3
-
-      while (n % 2 == 0)  {fctr[++fctrIndex] = 2; n /= 2;}
-      while (n % 3 == 0)  {fctr[++fctrIndex] = 3; n /= 3;}
-
-      //  Then every 6n-1 and 6n+1 until the divisor exceeds the square root
-      //  of the current quotient.  NOTE:  Some trial divisors will be
-      //  non-primes, e.g. 25, 35, 49, 55.  They have no effect, however,
-      //  since their prime factors will already have been tried.
-
-      for (int k = 5; k*k <= n; k += 6)
-        for (int dvsr = k; dvsr <= k+2; dvsr+=2)
-        { while (n % dvsr == 0)
-        {fctr[++fctrIndex] = dvsr;  n /= dvsr;}
-        }
-
-      if (n > 1) fctr[++fctrIndex] = n; //  Store final factor, if any
-    }
-
-    fctr[0] = fctrIndex;                //  Store number of factors
-    return fctr;
-  }
-
-
-  /**
-   *      getTestBatchSize - This function takes as input the size of the data and returns the largest factor of the data size
-   *    this is done so that when testing the function we are gaurenteed to have equally sized batches, and that the fewest
-   *    number of evaluations needs to be made in order to test the function.
-   *
-   * @param size   - The size of the current data set
-   * @return         The largest factor of the data size
-   */
-  private static long getTestBatchSize(long size){
-
-    long testBatchSize = 1;
-
-    long[] factors = primeFactors( size );
-
-    long factorCount = factors[0];
-
-    // Calculate the batchsize for the factors
-    if( factorCount == 0 ){
-      System.err.println("Attempt to test function on data of prime dimension.  This would involve a batchSize of 1 and may take a very long time.");
-      System.exit(1);
-    }else if (factorCount == 2){
-      testBatchSize = (int) factors[1];
-    }else {
-      //  find the largest factor.
-      for( int f = 1; f< factorCount;f++){
-        testBatchSize *= factors[f];
-      }
-    }
-
-    return testBatchSize;
-  }
-
-
-
-
-
-
-
-  /**
-   *
-   * This function tests to make sure that the sum of the stochastic calculated gradients is equal to the
-   *  full gradient.  This requires using ordered sampling, so if the ObjectiveFunction itself randomizes
-   *  the inputs this function will likely fail.
-   *
-   *
-   * @param x   is the point to evaluate the function at
-   * @param functionTolerance   is the tolerance to place on the infinity norm of the gradient and value
-   * @return  boolean indicating success or failure.
-   */
-
-  public boolean testSumOfBatches(double[] x, double functionTolerance){
-    boolean ret = false;
-    System.err.println("Making sure that the sum of stochastic gradients equals the full gradient");
-
-
-    AbstractStochasticCachingDiffFunction.SamplingMethod tmpSampleMethod = thisFunc.sampleMethod;
-    StochasticCalculateMethods tmpMethod = thisFunc.method;
-
-    //Make sure that our function is using ordered sampling.  Otherwise we have no gaurentees.
-    thisFunc.sampleMethod = AbstractStochasticCachingDiffFunction.SamplingMethod.Ordered;
-
-    if(thisFunc.method==StochasticCalculateMethods.NoneSpecified){
-      System.err.println("No calculate method has been specified");
-    }
-
-    approxValue = 0;
-    approxGrad = new double[x.length];
-    curGrad = new double[x.length];
-    fullGrad = new double[x.length];
-    double percent = 0.0;
-
-    //This loop runs through all the batches and sums of the calculations to compare against the full gradient
-    for (int i = 0; i < numBatches ; i ++){
-
-      percent = 100*((double) i)/(numBatches);
-
-
-      //  update the value
-      approxValue += thisFunc.valueAt(x,v,testBatchSize);
-
-      //  update the gradient
-      thisFunc.returnPreviousValues = true;
-      System.arraycopy(thisFunc.derivativeAt(x,v,testBatchSize ), 0,curGrad, 0, curGrad.length);
-
-      //Update Approximate
-      approxGrad = ArrayMath.pairwiseAdd(approxGrad,curGrad);
-      double norm = ArrayMath.norm(approxGrad);
-
-      System.err.printf("%5.1f percent complete  %6.2f \n",percent,norm);
-
-    }
-
-    // !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-    // Get the full gradient and value, these should equal the approximates
-    // !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-    System.err.println("About to calculate the full derivative and value");
-    System.arraycopy(thisFunc.derivativeAt(x),0,fullGrad,0,fullGrad.length);
-    thisFunc.returnPreviousValues = true;
-    fullValue = thisFunc.valueAt(x);
-
-    diff = new double[x.length];
-
-    if( (ArrayMath.norm_inf(diff = ArrayMath.pairwiseSubtract(fullGrad,approxGrad))) < functionTolerance){
-      sayln("");
-      sayln("Success: sum of batch gradients equals full gradient");
-      ret = true;
-    }else{
-      diffNorm = ArrayMath.norm(diff);
-      sayln("");
-      sayln("Failure: sum of batch gradients minus full gradient has norm " + diffNorm);
-      ret = false;
-    }
-
-
-    if(Math.abs(approxValue - fullValue) < functionTolerance){
-      sayln("");
-      sayln("Success: sum of batch values equals full value");
-      ret = true;
-    }else{
-      sayln("");
-      sayln("Failure: sum of batch values minus full value has norm " + Math.abs(approxValue - fullValue));
-      ret = false;
-    }
-
-    thisFunc.sampleMethod = tmpSampleMethod;
-    thisFunc.method = tmpMethod;
-
-    return ret;
-  }
-
-
-
-
-
-
-
-
-  /**
-   *
-   * This function tests to make sure that the sum of the stochastic calculated gradients is equal to the
-   *  full gradient.  This requires using ordered sampling, so if the ObjectiveFunction itself randomizes
-   *  the inputs this function will likely fail.
-   *
-   *
-   * @param x   is the point to evaluate the function at
-   * @param functionTolerance   is the tolerance to place on the infinity norm of the gradient and value
-   * @return  boolean indicating success or failure.
-   */
-
-  public boolean testDerivatives(double[] x, double functionTolerance){
-    boolean ret = false;
-    boolean compareHess = true;
-    System.err.println("Making sure that the stochastic derivatives are ok.");
-
-
-    AbstractStochasticCachingDiffFunction.SamplingMethod tmpSampleMethod = thisFunc.sampleMethod;
-    StochasticCalculateMethods tmpMethod = thisFunc.method;
-
-    //Make sure that our function is using ordered sampling.  Otherwise we have no gaurentees.
-    thisFunc.sampleMethod = AbstractStochasticCachingDiffFunction.SamplingMethod.Ordered;
-
-    if(thisFunc.method==StochasticCalculateMethods.NoneSpecified){
-      System.err.println("No calculate method has been specified");
-    } else if( !thisFunc.method.calculatesHessianVectorProduct() ){
-      compareHess = false;
-    }
-
-    approxValue = 0;
-    approxGrad = new double[x.length];
-    curGrad = new double[x.length];
-    Hv = new double[x.length];
-
-
-    double percent = 0.0;
-
-    //This loop runs through all the batches and sums of the calculations to compare against the full gradient
-    for (int i = 0; i < numBatches ; i ++){
-
-      percent = 100*((double) i)/(numBatches);
-
-      //Can't figure out how to get a carriage return???  ohh well
-      System.err.printf("%5.1f percent complete\n",percent);
-
-
-      //  update the "hopefully" correct Hessian
-      thisFunc.method = tmpMethod;
-      System.arraycopy(thisFunc.HdotVAt(x,v,testBatchSize),0,Hv,0,Hv.length);
-
-      //  Now get the hessian through finite difference
-      thisFunc.method = StochasticCalculateMethods.ExternalFiniteDifference;
-      System.arraycopy(thisFunc.derivativeAt(x,v,testBatchSize ), 0,gradFD, 0, gradFD.length);
-      thisFunc.recalculatePrevBatch = true;
-      System.arraycopy(thisFunc.HdotVAt(x,v,gradFD,testBatchSize),0,HvFD,0,HvFD.length);
-
-      //Compare the difference
-      double DiffHv = ArrayMath.norm_inf(ArrayMath.pairwiseSubtract(Hv,HvFD));
-
-      //Keep track of the biggest H.v error
-      if (DiffHv > maxHvDiff){maxHvDiff = DiffHv;}
-
-    }
-
-    if( maxHvDiff < functionTolerance){
-      sayln("");
-      sayln("Success: Hessian approximations lined up");
-      ret = true;
-    }else{
-      sayln("");
-      sayln("Failure: Hessian approximation at somepoint was off by " + maxHvDiff);
-      ret = false;
-    }
-
-    thisFunc.sampleMethod = tmpSampleMethod;
-    thisFunc.method = tmpMethod;
-
-    return ret;
-  }
-
-
-  /*
-  This function is used to get a lower bound on the condition number.  as it stands this is pretty straight forward:
-
-    a random point (x) and vector (v) are generated, the Raleigh quotient ( v.H(x).v / v.v ) is then taken which provides both
-    a lower bound on the largest eigenvalue, and an upper bound on the smallest eigenvalue.  This can then be used to
-    come up with a lower bound on the condition number of the hessian.
-   */
-
-  public double testConditionNumber(int samples){
-    double maxSeen = 0.0;
-    double minSeen = 0.0;
-    double[] thisV = new double[ thisFunc.domainDimension() ];
-    double[] thisX = new double[thisV.length];
-    gradFD = new double[thisV.length];
-    HvFD = new double[thisV.length];
-
-    double thisVHV;
-    boolean isNeg = false;
-    boolean isPos = false;
-    boolean isSemi = false;
-
-    thisFunc.method = StochasticCalculateMethods.ExternalFiniteDifference;
-
-    for(int j=0;j<samples;j++){
-
-      for (int i=0; i< thisV.length; i++){
-        thisV[i] = generator.nextDouble();
-      }
-      for (int i=0; i< thisX.length; i++){
-        thisX[i] = generator.nextDouble();
-      }
-
-      System.err.println("Evaluating Hessian Product");
-      System.arraycopy(thisFunc.derivativeAt(thisX,thisV,testBatchSize ), 0,gradFD, 0, gradFD.length);
-      thisFunc.recalculatePrevBatch = true;
-      System.arraycopy(thisFunc.HdotVAt(thisX,thisV,gradFD,testBatchSize),0,HvFD,0,HvFD.length);
-
-      thisVHV = ArrayMath.innerProduct(thisV,HvFD);
-
-      if( Math.abs(thisVHV) > maxSeen){
-        maxSeen = Math.abs(thisVHV);
-      }
-
-      if( Math.abs(thisVHV) < minSeen){
-        minSeen = Math.abs(thisVHV);
-      }
-
-      if( thisVHV < 0 ){
-        isNeg = true;
-      }
-
-      if( thisVHV > 0){
-        isPos = true;
-      }
-
-      if( thisVHV ==0 ){
-        isSemi = true;
-      }
-
-      System.err.println("It:" + j + "  C:" + maxSeen/minSeen + "N:" + isNeg + "P:" + isPos + "S:" + isSemi);
-    }
-
-    System.out.println("Condition Number of: " + maxSeen/minSeen);
-    System.out.println("Is negative: " + isNeg);
-    System.out.println("Is positive: " + isPos);
-    System.out.println("Is semi:     " + isSemi);
-
-    return maxSeen/minSeen;
-  }
-
-
-  public double[] getVariance(double[] x){
-    return getVariance(x,testBatchSize);
-  }
-
-  public double[] getVariance(double[] x, int batchSize){
-
-    double[] ret = new double[4];
-    double[] fullHx = new double[thisFunc.domainDimension()];
-    double[] thisHx = new double[x.length];
-    double[] thisGrad = new double[x.length];
-    List<double[]> HxList = new ArrayList<double[]>();
-
-    /*
-    PrintWriter file = null;
-    NumberFormat nf = new DecimalFormat("0.000E0");
-
-    try{
-      file = new PrintWriter(new FileOutputStream("var.out"),true);
-    }
-    catch (IOException e){
-      System.err.println("Caught IOException outputing List to file: " + e.getMessage());
-      System.exit(1);
-    }
-    */
-
-    //get the full hessian
-    thisFunc.sampleMethod = AbstractStochasticCachingDiffFunction.SamplingMethod.Ordered;
-    System.arraycopy(thisFunc.derivativeAt(x,x,thisFunc.dataDimension()),0,thisGrad,0,thisGrad.length);
-    System.arraycopy(thisFunc.HdotVAt(x,x,thisGrad,thisFunc.dataDimension()),0,fullHx,0,fullHx.length);
-    double fullNorm = ArrayMath.norm(fullHx);
-    double hessScale = ((double) thisFunc.dataDimension()) / ((double) batchSize);
-    thisFunc.sampleMethod = AbstractStochasticCachingDiffFunction.SamplingMethod.RandomWithReplacement;
-
-    int n = 100;
-    double simDelta;
-    double ratDelta;
-    double simMean = 0;
-    double ratMean = 0;
-    double simS = 0;
-    double ratS = 0;
-    int k = 0;
-    System.err.println(fullHx[4] +"  " + x[4]);
-    for(int i = 0; i<n; i++){
-      System.arraycopy(thisFunc.derivativeAt(x,x,batchSize),0,thisGrad,0,thisGrad.length);
-      System.arraycopy(thisFunc.HdotVAt(x,x,thisGrad,batchSize),0,thisHx,0,thisHx.length);
-      ArrayMath.multiplyInPlace(thisHx,hessScale);
-
-      double thisNorm = ArrayMath.norm(thisHx);
-      double sim = ArrayMath.innerProduct(thisHx,fullHx)/(thisNorm*fullNorm);
-      double rat = thisNorm/fullNorm;
-      k += 1;
-
-      simDelta = sim - simMean;
-      simMean += simDelta/k;
-      simS += simDelta*(sim-simMean);
-
-      ratDelta = rat-ratMean;
-      ratMean += ratDelta/k;
-      ratS += ratDelta*(rat-ratMean);
-
-      //file.println( nf.format(sim) + " , " + nf.format(rat));
-
-    }
-
-    double simVar = simS/(k-1);
-    double ratVar = ratS/(k-1);
-
-
-    //file.close();
-
-    ret[0]=simMean;
-    ret[1]=simVar;
-    ret[2]=ratMean;
-    ret[3]=ratVar;
-    return ret;
-  }
-
-
-  public void testVariance(double[] x){
-
-    int[] batchSizes = {10,20,35,50,75,150,300,500,750,1000,5000,10000};
-    double[] varResult;
-
-    PrintWriter file = null;
-    NumberFormat nf = new DecimalFormat("0.000E0");
-
-    try{
-      file = new PrintWriter(new FileOutputStream("var.out"),true);
-    }
-    catch (IOException e){
-      System.err.println("Caught IOException outputing List to file: " + e.getMessage());
-      System.exit(1);
-    }
-
-    for(int bSize:batchSizes){
-
-      varResult = getVariance(x,bSize);
-      file.println(bSize + "," + nf.format(varResult[0]) + "," + nf.format(varResult[1]) + "," + nf.format(varResult[2]) + "," + nf.format(varResult[3]));
-      System.err.println("Batch size of: " + bSize + "   " + varResult[0] + "," + nf.format(varResult[1]) + "," + nf.format(varResult[2]) + "," + nf.format(varResult[3]));
-    }
-
-
-    file.close();
-
-  }
-
-  /*
-  public double getNormVariance(List<double[]> thisList){
-    double[] ratio = new double[thisList.size()];
-    double[] mean = new double[thisList.get(0).length];
-    double sizeInv = 1/( (double) thisList.size() );
-
-    for(double[] arr:thisList){
-      for(int i=0;i<arr.length;i++){
-        mean[i] += arr[i]*sizeInv;
-      }
-    }
-
-    double meanNorm = ArrayMath.norm(mean);
-
-    for(int i=0;i<thisList.size();i++){
-      ratio[i] = (ArrayMath.norm(thisList.get(i))/ meanNorm);
-    }
-
-    arrayToFile(ratio,"ratio.out");
-
-    return ArrayMath.variance(ratio);
-
-  }
-
-  public double getSimVariance(List<double[]> thisList){
-
-    double[] ang = new double[thisList.size()];
-    double[] mean = new double[thisList.get(0).length];
-    double sizeInv = 1/( (double) thisList.size() );
-
-    for(double[] arr:thisList){
-      for(int i=0;i<arr.length;i++){
-        mean[i] += arr[i]*sizeInv;
-      }
-    }
-
-    double meanNorm = ArrayMath.norm(mean);
-
-    for(int i=0;i<thisList.size();i++){
-      ang[i] = ArrayMath.innerProduct(thisList.get(i),mean);
-      ang[i] = ang[i]/ ( meanNorm * ArrayMath.norm(thisList.get(i)));
-    }
-
-    arrayToFile(ang,"angle.out");
-
-    return ArrayMath.variance(ang);
-  }
-  */
-
-  public void listToFile(List<double[]> thisList,String fileName){
-    PrintWriter file = null;
-    NumberFormat nf = new DecimalFormat("0.000E0");
-
-    try{
-      file = new PrintWriter(new FileOutputStream(fileName),true);
-    }
-    catch (IOException e){
-      System.err.println("Caught IOException outputing List to file: " + e.getMessage());
-      System.exit(1);
-    }
-
-    for(double[] element:thisList){
-      for(double val:element){
-        file.print(nf.format(val) + "  ");
-      }
-      file.println("");
-    }
-
-    file.close();
-
-  }
-
-  public void arrayToFile(double[] thisArray,String fileName){
-    PrintWriter file = null;
-    NumberFormat nf = new DecimalFormat("0.000E0");
-
-    try{
-      file = new PrintWriter(new FileOutputStream(fileName),true);
-    }
-    catch (IOException e){
-      System.err.println("Caught IOException outputing List to file: " + e.getMessage());
-      System.exit(1);
-    }
-
-    for(double element:thisArray){
-      file.print(nf.format(element) + "  ");
-    }
-
-    file.close();
-
-  }
-
-  /**
-   * testObjectiveFunction
-   *  This function was written to provide a test for accuracy of stochastic objective functions.  The test
-   *  checks for the following properties:
-   *
-   * 1) The sum of the value over each batch equals the full value
-   * 2) The sum of the gradients over each batch equals the full gradient
-   * 3) The gradient calculated using Incorporated Finite Difference is never more than functionTolerance from the
-   *        gradient using External Finite Difference
-   * 4) The hessian vector also does not varry between Incorporated and External Finite Difference
-   *
-   * @param function          The function to test
-   * @param x                 The point to use for testing (v is generated randomly
-   * @param functionTolerance The tolerance
-   */
-
-  /*
-  public boolean testObjectiveFunction(Function function, double[] x, double functionTolerance){
-
-
-
-    approxGrad = new double[x.length];
-    curGrad = new double[x.length];
-    approxValue = 0;
-
-    //Generate the initial vectors
-    for (int i = 0; i < x.length; i ++){
-      approxGrad[i] = 0;
-      v[i] = generator.nextDouble() ;
-    }
-
-
-    //This loop runs through all the batches and sums of the calculations to compare against the full gradient
-    for (int i = 0; i < numBatches ; i ++){
-
-// !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-// Perform calculation using IncorporatedFiniteDifference
-// !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-
-      dfunction.method = StochasticCalculateMethods.IncorporatedFiniteDifference;
-
-      //  update the value
-      approxValue += dfunction.valueAt(x,v,testBatchSize);
-
-      //  update the gradient
-      dfunction.returnPreviousValues = true;
-      System.arraycopy(dfunction.derivativeAt(x,v,testBatchSize ), 0,curGrad, 0, curGrad.length);
-
-      //  update the Hessian
-      dfunction.returnPreviousValues = true;
-      System.arraycopy(dfunction.HdotVAt(x,v,testBatchSize),0,HvAD,0,HvAD.length);
-
-      //Update Approximate
-      approxGrad = ArrayMath.pairwiseAdd(approxGrad,curGrad);
-
- // !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
- // Perform calculations using external finite difference
- // !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-
-      dfunction.method = StochasticCalculateMethods.ExternalFiniteDifference;
-
-      dfunction.recalculatePrevBatch = true;
-      System.arraycopy(dfunction.derivativeAt(x,v,testBatchSize ), 0,gradFD, 0, gradFD.length);
-
-      dfunction.recalculatePrevBatch = true;
-      System.arraycopy(dfunction.HdotVAt(x,v,gradFD,testBatchSize),0,HvFD,0,HvFD.length);
-
-      double DiffGrad = ArrayMath.norm_inf(ArrayMath.pairwiseSubtract(gradFD,curGrad));
-
-      // Keep track of the biggest error.
-      if (DiffGrad > maxGradDiff){maxGradDiff = DiffGrad;}
-
-      double DiffHv = ArrayMath.norm_inf(ArrayMath.pairwiseSubtract(HvAD,HvFD));
-
-      //Keep track of the biggest H.v error
-      if (DiffHv > maxHvDiff){maxHvDiff = DiffHv;}
-    }
-
- // !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
- // Get the full gradient and value, these should equal the approximates
- // !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-    System.arraycopy(dfunction.derivativeAt(x),0,fullGrad,0,fullGrad.length);
-    fullValue = dfunction.valueAt(x);
-
-
-    if(ArrayMath.norm_inf(ArrayMath.pairwiseSubtract(fullGrad,approxGrad)) < functionTolerance){
-      sayln("");
-      sayln("  Gradient is looking good");
-    }else{
-      diff = new double[x.length];
-      diff = ArrayMath.pairwiseSubtract(approxGrad,fullGrad);
-      diffNorm = ArrayMath.norm(diff);
-      sayln("");
-      sayln("  Seems there is a problem.  Gradient is off by norm of " + diffNorm);
-    };
-
-    if( maxGradDiff < functionTolerance ){
-      sayln("");
-      sayln("  Both gradients are the same");
-    }else{
-      diffValue = approxValue - fullValue;
-      sayln("");
-      sayln("  Seems there is a problem.  The two methods of calculating the gradient are different  max |AD-FD|_inf Error of " + maxGradDiff);
-    };
-
-
-    if( Math.abs(fullValue - approxValue) < functionTolerance){
-      sayln("");
-      sayln("  Value is looking good");
-    }else{
-      diffValue = approxValue - fullValue;
-      sayln("");
-      sayln("  Seems there is a problem.  Value is off by " + diffValue);
-    };
-
-    if(maxHvDiff < functionTolerance){
-      sayln("");
-      sayln("  Hv Approimations line up well");
-    }else{
-      sayln("");
-      sayln("    Seems there is a problem.  Hv approximations aren't quite close enough -- max |AD-FD|_inf Error of " + maxHvDiff);
-    }
-
-    return true;
-  }
-*/
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/StochasticInPlaceMinimizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/StochasticInPlaceMinimizer.java
deleted file mode 100644
index 40b18dc..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/StochasticInPlaceMinimizer.java
+++ /dev/null
@@ -1,363 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import edu.stanford.nlp.classify.LogPrior;
-import edu.stanford.nlp.util.Timing;
-
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-import java.util.Random;
-
-/**
- * In place Stochastic Gradient Descent Minimizer.
- * <ul>
- * <li> Follows weight decay and tuning of learning parameter of crfsgd of
- *   Leon Bottou: http://leon.bottou.org/projects/sgd
- * <li> Only support L2 regularization (QUADRATIC)
- * <li> Requires objective function to be an AbstractStochasticCachingDiffUpdateFunction.
- *   NOTE: unlike other minimizers, regularization is done in the minimizer, not the objective function
- * @author Angel Chang
- */
-public class StochasticInPlaceMinimizer<T extends Function> implements Minimizer<Function>, HasEvaluators {
-  protected double xscale,xnorm;
-  protected double[] x;
-  protected int t0;  // Initial stochastic iteration count
-  protected double sigma = 1,lambda;
-  protected boolean quiet = false;
-  protected int numPasses = 50; //-1;
-  protected int bSize = 1;  // NOTE: If bSize does not divide evenly into total number of samples,
-                            // some samples may get accounted for twice in one pass
-  protected int tuningSamples = 1000;
-
-  protected Random gen = new Random(1);
-  protected long maxTime = Long.MAX_VALUE;
-
-  private int evaluateIters = 0;    // Evaluate every x iterations (0 = no evaluation)
-  private Evaluator[] evaluators;  // separate set of evaluators to check how optimization is going
-
-  public StochasticInPlaceMinimizer()
-  {
-  }
-
-  public StochasticInPlaceMinimizer(double sigma, int numPasses)
-  {
-    this(sigma, numPasses, -1);
-  }
-
-  public StochasticInPlaceMinimizer(double sigma, int numPasses, int tuningSamples)
-  {
-    this.sigma = sigma;
-    if (numPasses >= 0) {
-      this.numPasses = numPasses;
-    } else {
-      sayln("  StochasticInPlaceMinimizer: numPasses=" + numPasses + ", defaulting to " + this.numPasses);
-    }
-    if (tuningSamples > 0) {
-      this.tuningSamples = tuningSamples;
-    } else {
-      sayln("  StochasticInPlaceMinimizer: tuneSampleSize=" + tuningSamples + ", defaulting to " + this.tuningSamples);
-    }
-  }
-
-  public StochasticInPlaceMinimizer(LogPrior prior, int numPasses, int batchSize, int tuningSamples)
-  {
-    if (LogPrior.LogPriorType.QUADRATIC.equals(prior.getType())) {
-      sigma = prior.getSigma();
-    } else {
-      throw new RuntimeException("Unsupported prior type " + prior.getType());
-    }
-    if (numPasses >= 0) {
-      this.numPasses = numPasses;
-    } else {
-      sayln("  StochasticInPlaceMinimizer: numPasses=" + numPasses + ", defaulting to " + this.numPasses);
-    }
-    this.bSize = batchSize;
-    if (tuningSamples > 0) {
-      this.tuningSamples = tuningSamples;
-    } else {
-      sayln("  StochasticInPlaceMinimizer: tuneSampleSize=" + tuningSamples + ", defaulting to " + this.tuningSamples);
-    }
-  }
-
-  public void shutUp() {
-    this.quiet = true;
-  }
-
-  private static NumberFormat nf = new DecimalFormat("0.000E0");
-
-  protected String getName() {
-    return "SGD_InPlace_b" + bSize + "_lambda" + nf.format(lambda);
-  }
-
-  public void setEvaluators(int iters, Evaluator[] evaluators)
-  {
-    this.evaluateIters = iters;
-    this.evaluators = evaluators;
-  }
-
-  public static class InvalidElementException extends Throwable {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 1647150702529757545L;
-
-    public InvalidElementException(String s) {
-      super(s);
-    }
-  }
-
-  private void ensureFinite(double[] vect, String name) throws InvalidElementException{
-    for(int i=0;i<vect.length;i++){
-      if(Double.isNaN(vect[i])){
-        throw new InvalidElementException("NAN found in " + name + " element " + i);
-      }else if(Double.isInfinite(vect[i])){
-        throw new InvalidElementException("Infinity found in " + name + " element " + i);
-      }
-    }
-  }
-
-  //This can be filled if an extending class needs to initialize things.
-  protected void init(AbstractStochasticCachingDiffUpdateFunction func){
-  }
-
-  public double getObjective(AbstractStochasticCachingDiffUpdateFunction function, double[] w, double wscale, int[] sample)
-  {
-    double wnorm = getNorm(w) * wscale*wscale;
-    double obj = function.valueAt(w,wscale,sample);
-    // Calculate objective with L2 regularization
-    return obj + 0.5*sample.length*lambda*wnorm;
-  }
-
-  public double tryEta(AbstractStochasticCachingDiffUpdateFunction function, double[] initial, int[] sample, double eta)
-  {
-    int numBatches =  sample.length / bSize;
-    double[] w = new double[initial.length];
-    double wscale = 1;
-    double obj = 0;
-    System.arraycopy(initial, 0, w, 0, w.length);
-    int[] sampleBatch = new int[bSize];
-    int sampleIndex = 0;
-    for (int batch = 0; batch < numBatches; batch++) {
-      for (int i = 0; i < bSize; i++) {
-        sampleBatch[i] = sample[(sampleIndex + i) % sample.length];
-      }
-      sampleIndex += bSize;
-      double gain = eta/wscale;
-      function.calculateStochasticUpdate(w, wscale, sampleBatch, gain);
-      wscale *= (1 - eta * lambda*bSize);
-    }
-    obj = getObjective(function, w, wscale, sample);
-    return obj;
-  }
-
-  /**
-   * Finds a good learning rate to start with
-   * eta = 1/(lambda*(t0+t)) - we find good t0
-   * @param function
-   * @param initial
-   * @param sampleSize
-   * @param seta
-   * @return
-   */
-  public double tune(AbstractStochasticCachingDiffUpdateFunction function, double[] initial, int sampleSize, double seta)
-  {
-    Timing timer = new Timing();
-    int[] sample = function.getSample(sampleSize);
-    double sobj = getObjective(function, initial, 1, sample);
-    double besteta = 1;
-    double bestobj = sobj;
-    double eta = seta;
-    int totest = 10;
-    double factor = 2;
-    boolean phase2 = false;
-    while (totest > 0 || !phase2)
-    {
-      double obj = tryEta(function, initial, sample, eta);
-      boolean okay = (obj < sobj);
-      sayln("  Trying eta=" + eta + "  obj=" + obj + ((okay)? "(possible)":"(too large)"));
-      if (okay)
-      {
-        totest -= 1;
-        if (obj < bestobj) {
-          bestobj = obj;
-          besteta = eta;
-        }
-      }
-      if (! phase2)
-      {
-        if (okay) {
-          eta = eta * factor;
-        } else {
-          phase2 = true;
-          eta = seta;
-        }
-      }
-      if (phase2) {
-        eta = eta / factor;
-      }
-    }
-    // take it on the safe side (implicit regularization)
-    besteta /= factor;
-    // determine t
-    t0 = (int) (1 / (besteta * lambda));
-    sayln("  Taking eta=" + besteta + " t0=" + t0);
-    sayln("  Tuning completed in: " + Timing.toSecondsString(timer.report()) + " s");
-    return besteta;
-  }
-
-  private double getNorm(double[] w)
-  {
-    double norm = 0;
-    for (int i = 0; i < w.length; i++) {
-      norm += w[i]*w[i];
-    }
-    return norm;
-  }
-
-  private void rescale()
-  {
-    if (xscale == 1) return;
-    for (int i = 0; i < x.length; i++) {
-      x[i] *= xscale;
-    }
-    xscale = 1;
-  }
-
-  private void doEvaluation(double[] x) {
-    // Evaluate solution
-    if (evaluators == null) return;
-    for (Evaluator eval:evaluators) {
-      sayln("  Evaluating: " + eval.toString());
-      eval.evaluate(x);
-    }
-  }
-
-  public double[] minimize(Function function, double functionTolerance, double[] initial) {
-    return minimize(function, functionTolerance, initial, -1);
-  }
-
-  public double[] minimize(Function f, double functionTolerance, double[] initial, int maxIterations) {
-    if (!(f instanceof AbstractStochasticCachingDiffUpdateFunction)) {
-      throw new UnsupportedOperationException();
-    }
-    AbstractStochasticCachingDiffUpdateFunction function = (AbstractStochasticCachingDiffUpdateFunction) f;
-    int totalSamples = function.dataDimension();
-    int tuneSampleSize = Math.min(totalSamples, tuningSamples);
-    if (tuneSampleSize < tuningSamples) {
-      System.err.println("WARNING: Total number of samples=" + totalSamples +
-              " is smaller than requested tuning sample size=" + tuningSamples + "!!!");
-    }
-    lambda = 1.0/(sigma*totalSamples);
-    sayln("Using sigma=" + sigma + " lambda=" + lambda + " tuning sample size " + tuneSampleSize);
-    tune(function, initial, tuneSampleSize, 0.1);
-
-    x = new double[initial.length];
-    System.arraycopy(initial, 0, x, 0, x.length);
-    xscale = 1;
-    xnorm = getNorm(x);
-    int numBatches =  totalSamples/ bSize;
-
-    init(function);
-
-    boolean have_max = (maxIterations > 0 || numPasses > 0);
-
-    if (!have_max){
-      throw new UnsupportedOperationException("No maximum number of iterations has been specified.");
-    } else{
-      maxIterations = Math.max(maxIterations, numPasses)*numBatches;
-    }
-
-    sayln("       Batchsize of: " + bSize);
-    sayln("       Data dimension of: " + totalSamples );
-    sayln("       Batches per pass through data:  " + numBatches );
-    sayln("       Number of passes is = " + numPasses);
-    sayln("       Max iterations is = " + maxIterations);
-
-    //!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-    //!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-    //            Loop
-    //!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-    //!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-    boolean doEval = false;
-
-    Timing total = new Timing();
-    Timing current = new Timing();
-    total.start();
-    current.start();
-    int t=t0;
-    int iters = 0;
-    for (int pass = 0; pass < numPasses; pass++)  {
-      doEval = (pass > 0 && evaluateIters > 0 && pass % evaluateIters == 0);
-      if (doEval) {
-        rescale();
-        doEvaluation(x);
-      }
-
-      double totalValue = 0;
-      double lastValue = 0;
-      say("Iter: " + iters + " pass " + pass + " batch 1 ... ");
-      for (int batch = 0; batch < numBatches; batch++) {
-        iters++;
-
-        //Get the next X
-        double eta = 1/(lambda*t);
-        double gain = eta/xscale;
-        lastValue = function.calculateStochasticUpdate(x, xscale, bSize, gain);
-        totalValue += lastValue;
-        // weight decay (for L2 regularization)
-        xscale *= (1 - eta * lambda*bSize);
-        t+=bSize;
-      }
-      if (xscale < 1e-6) {
-        rescale();
-      }
-      try{
-        ensureFinite(x,"x");
-      }catch(InvalidElementException e){
-        System.err.println(e.toString());
-        for(int i=0;i<x.length;i++){ x[i]=Double.NaN; }
-        break;
-      }
-      xnorm = getNorm(x)*xscale*xscale;
-      // Calculate loss based on L2 regularization
-      double loss = totalValue + 0.5 * xnorm * lambda * totalSamples;
-      say(String.valueOf(numBatches));
-      say("[" + ( total.report() )/1000.0 + " s " );
-      say("{" + (current.restart()/1000.0) + " s}] ");
-      sayln(" "+lastValue + " " + totalValue + " " + loss);
-
-      if (iters >= maxIterations) {
-        sayln("Stochastic Optimization complete.  Stopped after max iterations");
-        break;
-      }
-
-      if (total.report() >= maxTime){
-        sayln("Stochastic Optimization complete.  Stopped after max time");
-        break;
-      }
-
-    }
-    rescale();
-
-    if (evaluateIters > 0) {
-      // do final evaluation
-      doEvaluation(x);
-    }
-
-    sayln("Completed in: " + Timing.toSecondsString(total.report()) + " s");
-
-    return x;
-  }
-
-  protected void sayln(String s) {
-    if (!quiet) {
-      System.err.println(s);
-    }
-  }
-
-  protected void say(String s) {
-    if (!quiet) {
-      System.err.print(s);
-    }
-  }
-
-}
\ No newline at end of file
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/StochasticMinimizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/StochasticMinimizer.java
deleted file mode 100644
index 92bb0e8..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/optimization/StochasticMinimizer.java
+++ /dev/null
@@ -1,554 +0,0 @@
-package edu.stanford.nlp.optimization;
-
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.util.Timing;
-
-import java.text.NumberFormat;
-import java.text.DecimalFormat;
-import java.io.PrintWriter;
-import java.io.FileOutputStream;
-import java.io.IOException;
-import java.util.List;
-import java.util.ArrayList;
-import java.util.Random;
-import edu.stanford.nlp.util.Pair;
-
-/**
- * <p>
- * Stochastic Gradient Descent Minimizer.
- * Note: If you want a fast SGD minimizer, then you probably want to use
- * StochasticInPlaceMinimizer, not this class!
- *
- * The basic way to use the minimizer is with a null constructor, then
- * the simple minimize method:
- * <p/>
- * <p><code>Minimizer smd = new SGDMinimizer();</code>
- * <br><code>DiffFunction df = new SomeDiffFunction(); //Note that it must be a incidence of AbstractStochasticCachingDiffFunction</code>
- * <br><code>double tol = 1e-4;</code>
- * <br><code>double[] initial = getInitialGuess();</code>
- * <br><code>int maxIterations = someSafeNumber;
- * <br><code>double[] minimum = qnm.minimize(df,tol,initial,maxIterations);</code>
- * <p/>
- * Constructing with a null constructor will use the default values of
- * <p>
- * <br><code>batchSize = 15;</code>
- * <br><code>initialGain = 0.1;</code>
- * <p/>
- * <p/>
- *
- * @author <a href="mailto:akleeman@stanford.edu">Alex Kleeman</a>
- * @version 1.0
- * @since 1.0
- */
-public abstract class StochasticMinimizer<T extends Function> implements Minimizer<T>, HasEvaluators
-{
-  public boolean outputIterationsToFile = false;
-  public int outputFrequency = 1000;
-  public static double gain = 0.1;
-
-  protected double[] x, newX, grad, newGrad,v;
-  protected int numBatches;
-  protected int k;
-  // todo [cdm 2011]: Having this be static is CLEARLY wrong
-  protected static int bSize = 15;
-  protected boolean quiet = false;
-  protected List<double[]> gradList = null;
-  protected int memory = 10;
-  protected int numPasses = -1;
-  protected Random gen = new Random(1);
-  protected PrintWriter file = null;
-  protected PrintWriter infoFile = null;
-  protected long maxTime = Long.MAX_VALUE;
-
-  private int evaluateIters = 0;    // Evaluate every x iterations (0 = no evaluation)
-  private Evaluator[] evaluators;  // separate set of evaluators to check how optimization is going
-
-  public void shutUp() {
-    this.quiet = true;
-  }
-
-  private static NumberFormat nf = new DecimalFormat("0.000E0");
-
-
-  protected abstract String getName();
-
-  protected abstract void takeStep(AbstractStochasticCachingDiffFunction dfunction);
-
-  public void setEvaluators(int iters, Evaluator[] evaluators)
-  {
-    this.evaluateIters = iters;
-    this.evaluators = evaluators;
-  }
-
-  /*
-    This is the scaling factor for the gains to ensure convergence
-  */
-  protected static double gainSchedule(int it, double tau){
-    return (tau / (tau + it));
-  }
-
-  /*
-   * This is used to smooth the gradients, providing a more robust calculation which
-   * generally leads to a better routine.
-   */
-
-  protected static double[] smooth(List<double[]> toSmooth){
-    double[] smoothed = new double[toSmooth.get(0).length];
-
-    for(double[] thisArray:toSmooth){
-      ArrayMath.pairwiseAddInPlace(smoothed,thisArray);
-    }
-
-    ArrayMath.multiplyInPlace(smoothed,1/((double) toSmooth.size() ));
-    return smoothed;
-  }
-
-
-  public static class InvalidElementException extends Throwable {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 1647150702529757545L;
-
-    public InvalidElementException(String s) {
-      super(s);
-    }
-  }
-
-  private static void ensureFinite(double[] vect, String name) throws InvalidElementException{
-
-    for(int i=0;i<vect.length;i++){
-      if(Double.isNaN(vect[i])){
-        throw new InvalidElementException("NAN found in " + name + " element " + i);
-      }else if(Double.isInfinite(vect[i])){
-        throw new InvalidElementException("Infinity found in " + name + " element " + i);
-      }
-    }
-
-  }
-
-
-  private void initFiles() {
-    if (outputIterationsToFile) {
-
-      String fileName = getName() + ".output";
-      String infoName = getName() + ".info";
-
-      try {
-        file = new PrintWriter(new FileOutputStream(fileName),true);
-        infoFile = new PrintWriter(new FileOutputStream(infoName),true);
-      }
-      catch (IOException e) {
-        System.err.println("Caught IOException outputting data to file: " + e.getMessage());
-        System.exit(1);
-      }
-    }
-  }
-
-
-  public abstract Pair<Integer,Double> tune(Function function,double[] initial, long msPerTest);
-
-  public double tuneDouble(edu.stanford.nlp.optimization.Function function, double[] initial, long msPerTest,PropertySetter<Double> ps,double lower,double upper){
-    return this.tuneDouble(function, initial, msPerTest, ps, lower, upper, 1e-3*Math.abs(upper-lower));
-  }
-
-public double tuneDouble(edu.stanford.nlp.optimization.Function function, double[] initial, long msPerTest,PropertySetter<Double> ps,double lower,double upper,double TOL){
-
-    double[] xtest = new double[initial.length];
-    this.maxTime = msPerTest;
-    // check for stochastic derivatives
-    if (!(function instanceof AbstractStochasticCachingDiffFunction)) {
-      throw new UnsupportedOperationException();
-    }
-    AbstractStochasticCachingDiffFunction dfunction = (AbstractStochasticCachingDiffFunction) function;
-
-    List<Pair<Double,Double>> res = new ArrayList<Pair<Double,Double>>();
-    Pair<Double,Double> best = new Pair<Double,Double>(lower,Double.POSITIVE_INFINITY); //this is set to lower because the first it will always use the lower first, so it has to be best
-    Pair<Double,Double> low = new Pair<Double,Double>(lower,Double.POSITIVE_INFINITY);
-    Pair<Double,Double> high = new Pair<Double,Double>(upper,Double.POSITIVE_INFINITY);
-    Pair<Double,Double> cur = new Pair<Double,Double>();
-    Pair<Double,Double> tmp = new Pair<Double,Double>();
-
-    List<Double> queue = new ArrayList<Double>();
-    queue.add(lower);
-    queue.add(upper);
-    //queue.add(0.5* (lower + upper));
-
-    int it = 1;
-    boolean  toContinue = true;
-    this.numPasses = 10000;
-
-    do{
-        System.arraycopy(initial, 0, xtest, 0, initial.length);
-        if(queue.size() != 0){
-          cur.first = queue.remove(0);
-        }else{
-          cur.first = 0.5*( low.first() + high.first() );
-        }
-
-        ps.set(cur.first() );
-
-        System.err.println("");
-        System.err.println("About to test with batchsize:  " + StochasticMinimizer.bSize + "  gain: "  + StochasticMinimizer.gain + " and  " + ps.toString() + " set to  " + cur.first());
-
-        xtest = this.minimize(function, 1e-100, xtest);
-
-        if(Double.isNaN( xtest[0] ) ){
-          cur.second = Double.POSITIVE_INFINITY;
-        } else {
-          cur.second = dfunction.valueAt(xtest);
-        }
-
-        if( cur.second() < best.second() ){
-
-          copyPair(best,tmp);
-          copyPair(cur,best);
-
-          if(tmp.first() > best.first()){
-            copyPair(tmp,high); // The old best is now the upper bound
-          }else{
-            copyPair(tmp,low);  // The old best is now the lower bound
-          }
-          queue.add( 0.5 * ( cur.first() + high.first()  ) ); // check in the right interval next
-        } else if ( cur.first() < best.first() ){
-          copyPair(cur,low);
-        } else if( cur.first() > best.first()){
-          copyPair(cur,high);
-        }
-
-        if( Math.abs( low.first() - high.first() ) < TOL   ) {
-          toContinue = false;
-        }
-
-        res.add(new Pair<Double,Double>(cur.first(),cur.second()));
-
-       it += 1;
-        System.err.println("");
-        System.err.println("Final value is: " + nf.format(cur.second()));
-        System.err.println("Optimal so far using " + ps.toString() + " is: "+ best.first() );
-    } while(toContinue);
-
-
-    //output the results to screen.
-    System.err.println("-------------");
-    System.err.println(" RESULTS          ");
-    System.err.println(ps.getClass().toString());
-    System.err.println("-------------");
-    System.err.println("  val    ,    function after " + msPerTest + " ms");
-    for(int i=0;i<res.size();i++ ){
-      System.err.println(res.get(i).first() + "    ,    " + res.get(i).second() );
-     }
-    System.err.println("");
-    System.err.println("");
-
-    return best.first();
-
-  }
-
-  private static void copyPair(Pair<Double,Double> from, Pair<Double,Double> to){
-    to.first = from.first();
-    to.second = from.second();
-  }
-
-
-  private class setGain implements PropertySetter<Double>{
-    StochasticMinimizer<T> parent = null;
-
-    public setGain(StochasticMinimizer<T> min){parent = min;}
-
-    public void set(Double in){
-      StochasticMinimizer.gain = in ;
-    }
-  }
-
-
-  public double tuneGain(Function function, double[] initial, long msPerTest, double lower, double upper){
-
-    return tuneDouble(function,initial,msPerTest,new setGain(this),lower,upper);
-
-  }
-
-
-
-  public int  tuneBatch(Function function, double[] initial, long msPerTest, int bStart){
-
-    double[] xtest = new double[initial.length];
-    int bOpt = 0;
-    double min = Double.POSITIVE_INFINITY;
-    this.maxTime = msPerTest;
-    double prev = Double.POSITIVE_INFINITY;
-
-    // check for stochastic derivatives
-    if (!(function instanceof AbstractStochasticCachingDiffFunction)) {
-      throw new UnsupportedOperationException();
-    }
-    AbstractStochasticCachingDiffFunction dfunction = (AbstractStochasticCachingDiffFunction) function;
-
-    int b = bStart;
-    int it = 1;
-    boolean  toContinue = true;
-
-    do {
-      System.arraycopy(initial, 0, xtest, 0, initial.length);
-      System.err.println("");
-      System.err.println("Testing with batchsize:  " + b );
-      StochasticMinimizer.bSize = b;
-      this.quiet = true;
-      this.minimize(function, 1e-100, xtest);
-      double result = dfunction.valueAt(xtest);
-
-      if(it == 1){
-          b *=2;
-        }
-
-        if( result < min ){
-          min = result;
-          bOpt = StochasticMinimizer.bSize;
-          b *= 2;
-          prev = result;
-        }else if(result < prev){
-          b*=2;
-          prev = result;
-        }else if(result > prev){
-          toContinue = false;
-        }
-
-
-        System.err.println("");
-        System.err.println("Final value is: " + nf.format(result));
-        System.err.println("Optimal so far is:  batchsize: " + bOpt );
-    } while(toContinue);
-
-
-    return bOpt;
-
-  }
-
-  public Pair<Integer,Double> tune(Function function, double[] initial, long msPerTest,List<Integer> batchSizes, List<Double> gains){
-
-    double[] xtest = new double[initial.length];
-    int bOpt = 0;
-    double gOpt = 0.0;
-    double min = Double.POSITIVE_INFINITY;
-
-    double[][] results = new double[batchSizes.size()][gains.size()];
-
-    this.maxTime = msPerTest;
-
-    for( int b=0;b<batchSizes.size();b++){
-      for(int g=0;g<gains.size();g++){
-        System.arraycopy(initial, 0, xtest, 0, initial.length);
-        StochasticMinimizer.bSize = batchSizes.get(b);
-        StochasticMinimizer.gain = gains.get(g);
-        System.err.println("");
-        System.err.println("Testing with batchsize: " + StochasticMinimizer.bSize + "    gain:  " + nf.format(StochasticMinimizer.gain) );
-        this.quiet = true;
-        this.minimize(function, 1e-100, xtest);
-        results[b][g] = function.valueAt(xtest);
-
-        if( results[b][g] < min ){
-          min = results[b][g];
-          bOpt = StochasticMinimizer.bSize;
-          gOpt = StochasticMinimizer.gain;
-        }
-
-        System.err.println("");
-        System.err.println("Final value is: " + nf.format(results[b][g]));
-        System.err.println("Optimal so far is:  batchsize: " + bOpt + "   gain:  " + nf.format(gOpt) );
-
-      }
-    }
-
-    return new Pair<Integer,Double>(bOpt,gOpt);
-
-  }
-
-
-  //This can be filled if an extending class needs to initialize things.
-  protected void init(AbstractStochasticCachingDiffFunction func){
-  }
-
-
-  private void doEvaluation(double[] x) {
-    // Evaluate solution
-    if (evaluators == null) return;
-    for (Evaluator eval:evaluators) {
-      sayln("  Evaluating: " + eval.toString());
-      eval.evaluate(x);
-    }
-  }
-
-  public double[] minimize(Function function, double functionTolerance, double[] initial) {
-    return minimize(function, functionTolerance, initial, -1);
-  }
-
-
-  public double[] minimize(Function function, double functionTolerance, double[] initial, int maxIterations) {
-
-    // check for stochastic derivatives
-    if (!(function instanceof AbstractStochasticCachingDiffFunction)) {
-      throw new UnsupportedOperationException();
-    }
-    AbstractStochasticCachingDiffFunction dfunction = (AbstractStochasticCachingDiffFunction) function;
-
-    dfunction.method = StochasticCalculateMethods.GradientOnly;
-
-    if(false){
-      StochasticDiffFunctionTester sdft = new StochasticDiffFunctionTester(dfunction);
-      ArrayMath.add(initial, gen.nextDouble() ); // to make sure that priors are working.
-      sdft.testSumOfBatches(initial, 1e-4);
-      System.exit(1);
-    }
-
-    x = initial;
-    grad = new double[x.length];
-    newX = new double[x.length];
-    gradList = new ArrayList<double[]>();
-    numBatches =  dfunction.dataDimension()/ bSize;
-    outputFrequency = (int) Math.ceil( ((double) numBatches) /( (double) outputFrequency) )  ;
-
-    init(dfunction);
-    initFiles();
-
-    boolean have_max = (maxIterations > 0 || numPasses > 0);
-
-    if (!have_max){
-      throw new UnsupportedOperationException("No maximum number of iterations has been specified.");
-    }else{
-      maxIterations = Math.max(maxIterations, numPasses)*numBatches;
-    }
-
-    sayln("       Batchsize of: " + bSize);
-    sayln("       Data dimension of: " + dfunction.dataDimension() );
-    sayln("       Batches per pass through data:  " + numBatches );
-    sayln("       Max iterations is = " + maxIterations);
-
-    if (outputIterationsToFile) {
-      infoFile.println(function.domainDimension() + "; DomainDimension " );
-      infoFile.println(bSize + "; batchSize ");
-      infoFile.println(maxIterations + "; maxIterations");
-      infoFile.println(numBatches + "; numBatches ");
-      infoFile.println(outputFrequency  + "; outputFrequency");
-    }
-
-    //!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-    //!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-    //            Loop
-    //!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-    //!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-    Timing total = new Timing();
-    Timing current = new Timing();
-    total.start();
-    current.start();
-    boolean doEval = false;
-    for (k = 0; k<maxIterations ; k++)  {
-      try{
-        doEval = (k > 0 && evaluateIters > 0 && k % evaluateIters == 0);
-        if (doEval) {
-          doEvaluation(x);
-        }
-        int pass = k/numBatches;
-        int batch = k%numBatches;
-        say("Iter: " + k + " pass " + pass + " batch " + batch);
-
-        // restrict number of saved gradients
-        //  (recycle memory of first gradient in list for new gradient)
-        if(k > 0 && gradList.size() >= memory){
-          newGrad = gradList.remove(0);
-        }else{
-          newGrad = new double[grad.length];
-        }
-
-        dfunction.hasNewVals = true;
-        System.arraycopy(dfunction.derivativeAt(x,v,bSize),0,newGrad,0,newGrad.length);
-        ensureFinite(newGrad,"newGrad");
-        gradList.add(newGrad);
-        grad = smooth(gradList);
-
-        //Get the next X
-        takeStep(dfunction);
-
-        ensureFinite(newX,"newX");
-
-        //!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-        // THIS IS FOR DEBUG ONLY
-        //!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-        if(outputIterationsToFile && (k%outputFrequency == 0) && k!=0 ) {
-          double curVal = dfunction.valueAt(x);
-          say(" TrueValue{ " + curVal + " } ");
-          file.println(k + " , " + curVal + " , " + total.report() );
-        }
-        //!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-        // END OF DEBUG STUFF
-        //!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
-
-        if (k >= maxIterations) {
-          sayln("Stochastic Optimization complete.  Stopped after max iterations");
-          x = newX;
-          break;
-        }
-
-        if (total.report() >= maxTime){
-          sayln("Stochastic Optimization complete.  Stopped after max time");
-          x = newX;
-          break;
-        }
-
-        System.arraycopy(newX, 0, x, 0, x.length);
-
-        say("[" + ( total.report() )/1000.0 + " s " );
-        say("{" + (current.restart()/1000.0) + " s}] ");
-        say(" "+dfunction.lastValue());
-
-        if (quiet) {
-          System.err.print(".");
-        }else{
-          sayln("");
-        }
-
-      }catch(InvalidElementException e){
-        System.err.println(e.toString());
-        for(int i=0;i<x.length;i++){ x[i]=Double.NaN; }
-        break;
-      }
-
-    }
-    if (evaluateIters > 0) {
-      // do final evaluation
-      doEvaluation(x);
-    }
-
-    if(outputIterationsToFile){
-      infoFile.println(k + "; Iterations");
-      infoFile.println(( total.report() )/1000.0 + "; Completion Time");
-      infoFile.println(dfunction.valueAt(x) + "; Finalvalue");
-
-      infoFile.close();
-      file.close();
-      System.err.println("Output Files Closed");
-      //System.exit(1);
-    }
-
-    say("Completed in: " + ( total.report() )/1000.0 + " s");
-
-    return x;
-  }
-
-
-  public interface PropertySetter <T1> {
-    public void set(T1 in);
-  }
-
-  protected void sayln(String s) {
-    if (!quiet) {
-      System.err.println(s);
-    }
-  }
-
-  protected void say(String s) {
-    if (!quiet) {
-      System.err.print(s);
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/pipeline/Annotation.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/pipeline/Annotation.java
deleted file mode 100644
index 73c2365..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/pipeline/Annotation.java
+++ /dev/null
@@ -1,88 +0,0 @@
-//
-// Annotation -- annotation protocol used by StanfordCoreNLP
-// Copyright (c) 2009-2010 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//
-
-package edu.stanford.nlp.pipeline;
-
-import edu.stanford.nlp.ling.CoreAnnotations;
-import edu.stanford.nlp.util.ArrayCoreMap;
-
-/**
- * An annotation representing a span of text in a document.
- *
- * Basically just an implementation of CoreMap that knows about text.
- * There was an original set of keys for annotation pipelines, listed here
- * and still used in older code, but now you're meant to use the ones in
- * CoreAnnotations.
- *
- * @author Jenny Finkel
- * @author Anna Rafferty
- * @author bethard
- */
-public class Annotation extends ArrayCoreMap {
-
-  /**
-   * SerialUID
-   */
-  private static final long serialVersionUID = 1L;
-
-
-  /** Copy constructor.
-   *  @param map The new Annotation copies this one.
-   */
-  public Annotation(Annotation map) {
-    super(map);
-  }
-
-  /** Copies the map, but not a deep copy.
-   *  @return The copy
-   */
-  public Annotation copy() {
-    return new Annotation(this);
-  }
-
-  /**
-   * The text becomes the CoreAnnotations.TextAnnotation of the newly
-   * created Annotation.
-   */
-  public Annotation(String text) {
-    this.set(CoreAnnotations.TextAnnotation.class, text);
-  }
-
-  @Override
-  public String toString() {
-    return this.get(CoreAnnotations.TextAnnotation.class);
-  }
-  
-  // ==================
-  // Old Deprecated API
-  // ==================
-
-  @Deprecated
-  public Annotation() {
-    super(12);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/pipeline/ChunkAnnotationUtils.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/pipeline/ChunkAnnotationUtils.java
deleted file mode 100644
index 1a83169..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/pipeline/ChunkAnnotationUtils.java
+++ /dev/null
@@ -1,841 +0,0 @@
-package edu.stanford.nlp.pipeline;
-
-import edu.stanford.nlp.ling.AnnotationLookup;
-import edu.stanford.nlp.ling.CoreAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations;
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.process.CoreLabelTokenFactory;
-import edu.stanford.nlp.util.*;
-
-import java.lang.reflect.Method;
-import java.util.ArrayList;
-import java.util.List;
-import java.util.Map;
-import java.util.Set;
-import java.util.logging.Logger;
-
-/**
- * Utility functions for annotating chunks
- *
- * @author Angel Chang
- */
-public class ChunkAnnotationUtils {
-  private static final Logger logger = Logger.getLogger(ChunkAnnotationUtils.class.getName());
-  private static CoreLabelTokenFactory tokenFactory = new CoreLabelTokenFactory(true);
-
-  /**
-   * Checks if offsets of doc and sentence matches
-   * @param docAnnotation
-   * @return true if the offsets match, false otherwise
-   */
-  public static boolean checkOffsets(CoreMap docAnnotation)
-  {
-    boolean okay = true;
-    String docText = docAnnotation.get(CoreAnnotations.TextAnnotation.class);
-    String docId = docAnnotation.get(CoreAnnotations.DocIDAnnotation.class);
-    List<CoreLabel> docTokens = docAnnotation.get(CoreAnnotations.TokensAnnotation.class);
-    List<CoreMap> sentences = docAnnotation.get(CoreAnnotations.SentencesAnnotation.class);
-    for (CoreMap sentence:sentences) {
-      String sentText = sentence.get(CoreAnnotations.TextAnnotation.class);
-      List<CoreLabel> sentTokens = sentence.get(CoreAnnotations.TokensAnnotation.class);
-      int sentBeginChar = sentence.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class);
-      int sentEndChar = sentence.get(CoreAnnotations.CharacterOffsetEndAnnotation.class);
-      int sentBeginToken = sentence.get(CoreAnnotations.TokenBeginAnnotation.class);
-      int sentEndToken = sentence.get(CoreAnnotations.TokenEndAnnotation.class);
-      String docTextSpan = docText.substring(sentBeginChar, sentEndChar);
-      List<CoreLabel> docTokenSpan = new ArrayList<CoreLabel>(docTokens.subList(sentBeginToken, sentEndToken));
-      logger.finer("Checking Document " + docId + " span (" + sentBeginChar + "," + sentEndChar + ") ");
-      if (!docTextSpan.equals(sentText) ) {
-        okay = false;
-        logger.finer("WARNING: Document " + docId + " span does not match sentence");
-        logger.finer("DocSpanText: " + docTextSpan);
-        logger.finer("SentenceText: " + sentText);
-      }
-      String sentTokenStr = getTokenText(sentTokens, CoreAnnotations.TextAnnotation.class);
-      String docTokenStr = getTokenText(docTokenSpan, CoreAnnotations.TextAnnotation.class);
-      if (!docTokenStr.equals(sentTokenStr) ) {
-        okay = false;
-        logger.finer("WARNING: Document " + docId + " tokens does not match sentence");
-        logger.finer("DocSpanTokens: " + docTokenStr);
-        logger.finer("SentenceTokens: " + sentTokenStr);
-      }
-    }
-    return okay;
-  }
-
-  /**
-   * Fix token offsets of sentences to match those in the document (assumes tokens are shared)
-   * sentence token indices may not match document token list if certain html elements are ignored
-   * @param docAnnotation
-   * @return true if fix was okay, false otherwise
-   */
-  public static boolean fixTokenOffsets(CoreMap docAnnotation)
-  {
-    List<CoreLabel> docTokens = docAnnotation.get(CoreAnnotations.TokensAnnotation.class);
-    List<CoreMap> sentences = docAnnotation.get(CoreAnnotations.SentencesAnnotation.class);
-    int i = 0;
-    CoreLabel curDocToken = docTokens.get(0);
-    for (CoreMap sentence:sentences) {
-      List<CoreLabel> sentTokens = sentence.get(CoreAnnotations.TokensAnnotation.class);
-      CoreLabel sentTokenFirst = sentTokens.get(0);
-      while (curDocToken != sentTokenFirst) {
-        i++;
-        if (i >= docTokens.size()) { return false; }
-        curDocToken = docTokens.get(i);
-      }
-      int sentTokenBegin = i;
-      CoreLabel sentTokenLast = sentTokens.get(sentTokens.size()-1);
-      while (curDocToken != sentTokenLast) {
-        i++;
-        if (i >= docTokens.size()) { return false; }
-        curDocToken = docTokens.get(i);
-      }
-      int sentTokenEnd = i+1;
-      sentence.set(CoreAnnotations.TokenBeginAnnotation.class, sentTokenBegin);
-      sentence.set(CoreAnnotations.TokenEndAnnotation.class, sentTokenEnd);
-    }
-    return true;
-  }
-
-
-  /**
-   * Copies annotation over to this coremap if not already set
-   */
-  public static void copyUnsetAnnotations(CoreMap src, CoreMap dest) {
-    Set<Class<?>> otherKeys = src.keySet();
-    for (Class key : otherKeys) {
-      if (!dest.has(key)) {
-        dest.set(key, src.get(key));
-      }
-    }
-  }
-
-  /**
-   * Give an list of character offsets for chunk, fix tokenization so tokenization occurs at
-   * boundary of chunks
-   * @param docAnnotation
-   * @param chunkCharOffsets
-   */
-  public static boolean fixChunkTokenBoundaries(CoreMap docAnnotation, List<IntPair> chunkCharOffsets)
-  {
-    // First identify any tokens that need to be fixed
-    String text = docAnnotation.get(CoreAnnotations.TextAnnotation.class);
-    List<CoreLabel> tokens = docAnnotation.get(CoreAnnotations.TokensAnnotation.class);
-    List<CoreLabel> output = new ArrayList<CoreLabel>(tokens.size());
-    int i = 0;
-    CoreLabel token = tokens.get(i);
-    for (IntPair offsets:chunkCharOffsets) {
-      assert(token.beginPosition() >= 0);
-      assert(token.endPosition() >= 0);
-      int offsetBegin = offsets.getSource();
-      int offsetEnd = offsets.getTarget();
-      // Find tokens where token begins after chunk starts
-      // and token ends after chunk starts
-      while (offsetBegin < token.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class)
-              || offsetBegin >= token.get(CoreAnnotations.CharacterOffsetEndAnnotation.class)) {
-        output.add(token);
-        i++;
-        if (i >= tokens.size()) { return false; }
-        token = tokens.get(i);
-      }
-      // offsetBegin is now >= token begin and < token end
-      // go until we find a token that starts after our chunk has ended
-      while (offsetEnd > token.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class)) {
-        // Check if chunk includes token
-        if (offsetBegin > token.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class)) {
-          // Chunk starts in the middle of the token
-          if (offsetEnd < token.get(CoreAnnotations.CharacterOffsetEndAnnotation.class)) {
-            output.add(tokenFactory.makeToken(text.substring(token.beginPosition(), offsetBegin),
-                    token.beginPosition(), offsetBegin-token.beginPosition()));
-            output.add(tokenFactory.makeToken(text.substring(offsetBegin,offsetEnd),
-                    offsetBegin, offsetEnd-offsetBegin));
-            output.add(tokenFactory.makeToken(text.substring(offsetEnd,token.endPosition()),
-                    offsetEnd, token.endPosition()-offsetEnd));
-          } else {
-            output.add(tokenFactory.makeToken(text.substring(token.beginPosition(), offsetBegin),
-                    token.beginPosition(), offsetBegin-token.beginPosition()));
-            output.add(tokenFactory.makeToken(text.substring(offsetBegin,token.endPosition()),
-                    offsetBegin, token.endPosition()-offsetBegin));
-          }
-        } else if (offsetEnd < token.get(CoreAnnotations.CharacterOffsetEndAnnotation.class)) {
-          output.add(tokenFactory.makeToken(text.substring(token.beginPosition(),offsetEnd),
-                  token.beginPosition(), offsetEnd-token.beginPosition()));
-          output.add(tokenFactory.makeToken(text.substring(offsetEnd,token.endPosition()), offsetEnd,
-                  token.endPosition()-offsetEnd));
-        } else {
-          // success!  chunk contains token
-          output.add(token);
-        }
-        i++;
-        if (i >= tokens.size()) { return false; }
-        token = tokens.get(i);
-      }
-    }
-    // Add rest of the tokens
-    for (; i < tokens.size(); i++) {
-      token = tokens.get(i);
-      output.add(token);
-    }
-    docAnnotation.set(CoreAnnotations.TokensAnnotation.class, output);
-    return true;
-  }
-
-  /**
-   * Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive)
-   * @param chunkList - List of chunks
-   * @param origText - Text from which to extract chunk text
-   * @param chunkIndexStart - Index of first chunk to merge
-   * @param chunkIndexEnd - Index of last chunk to merge (exclusive)
-   * @return new merged chunk
-   */
-  public static CoreMap getMergedChunk(List<? extends CoreMap> chunkList, String origText,
-                                       int chunkIndexStart, int chunkIndexEnd)
-  {
-    CoreMap firstChunk = chunkList.get(chunkIndexStart);
-    CoreMap lastChunk = chunkList.get(chunkIndexEnd-1);
-    int firstCharOffset = firstChunk.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class);
-    int lastCharOffset = lastChunk.get(CoreAnnotations.CharacterOffsetEndAnnotation.class);
-    int firstTokenIndex = firstChunk.get(CoreAnnotations.TokenBeginAnnotation.class);
-    int lastTokenIndex = lastChunk.get(CoreAnnotations.TokenEndAnnotation.class);
-
-    String chunkText = origText.substring(firstCharOffset, lastCharOffset);
-    CoreMap newChunk = new Annotation(chunkText);
-
-    newChunk.set(CoreAnnotations.CharacterOffsetBeginAnnotation.class, firstCharOffset);
-    newChunk.set(CoreAnnotations.CharacterOffsetEndAnnotation.class, lastCharOffset);
-    newChunk.set(CoreAnnotations.TokenBeginAnnotation.class, firstTokenIndex);
-    newChunk.set(CoreAnnotations.TokenEndAnnotation.class, lastTokenIndex);
-    List<CoreLabel> tokens = new ArrayList<CoreLabel>(lastTokenIndex-firstTokenIndex);
-    for (int i = chunkIndexStart; i < chunkIndexEnd; i++) {
-      CoreMap chunk = chunkList.get(i);
-      tokens.addAll(chunk.get(CoreAnnotations.TokensAnnotation.class));
-    }
-    newChunk.set(CoreAnnotations.TokensAnnotation.class, tokens);
-    // TODO: merge other keys into this new chunk ??
-
-    return newChunk;
-  }
-
-  /**
-   * Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive)
-   * @param chunkList - List of chunks
-   * @param chunkIndexStart - Index of first chunk to merge
-   * @param chunkIndexEnd - Index of last chunk to merge (exclusive)
-   * @param aggregators - Aggregators
-   * @return new merged chunk
-   */
-  public static CoreMap getMergedChunk(List<? extends CoreMap> chunkList,
-                                       int chunkIndexStart, int chunkIndexEnd,
-                                       Map<Class, CoreMapAttributeAggregator> aggregators)
-  {
-    CoreMap newChunk = new Annotation("");
-    for (Map.Entry<Class,CoreMapAttributeAggregator> entry:aggregators.entrySet()) {
-      Object value = entry.getValue().aggregate(entry.getKey(), chunkList.subList(chunkIndexStart, chunkIndexEnd));
-      newChunk.set(entry.getKey(), value);
-    }
-    return newChunk;
-  }
-
-  /**
-   * Return chunk offsets
-   * @param chunkList - List of chunks
-   * @param charStart - character begin offset
-   * @param charEnd - character end offset
-   * @return chunk offsets
-   */
-  public static Interval<Integer> getChunkOffsetsUsingCharOffsets(List<? extends CoreMap> chunkList,
-                                       int charStart, int charEnd)
-  {
-    int chunkStart = 0;
-    int chunkEnd = chunkList.size();
-    // Find first chunk with start > charStart
-    for (int i = 0; i < chunkList.size(); i++) {
-      int start = chunkList.get(i).get(CoreAnnotations.CharacterOffsetBeginAnnotation.class);
-      if (start > charStart) {
-        break;
-      }
-      chunkStart = i;
-    }
-    // Find first chunk with start > charEnd
-    for (int i = chunkStart; i < chunkList.size(); i++) {
-      int start = chunkList.get(i).get(CoreAnnotations.CharacterOffsetBeginAnnotation.class);
-      if (start > charEnd) {
-        chunkEnd = i;
-        break;
-      }
-    }
-    return Interval.toInterval(chunkStart, chunkEnd, Interval.INTERVAL_OPEN_END);
-  }
-
-
-  /**
-   * Merge chunks from chunkIndexStart to chunkIndexEnd (exclusive) and replace them in the list
-   * @param chunkList - List of chunks
-   * @param origText - Text from which to extract chunk text
-   * @param chunkIndexStart - Index of first chunk to merge
-   * @param chunkIndexEnd - Index of last chunk to merge (exclusive)
-   */
-  public static void mergeChunks(List<CoreMap> chunkList, String origText,
-                                 int chunkIndexStart, int chunkIndexEnd)
-  {
-    CoreMap newChunk = getMergedChunk(chunkList, origText, chunkIndexStart, chunkIndexEnd);
-    int nChunksToRemove = chunkIndexEnd - chunkIndexStart - 1;
-    for (int i = 0; i < nChunksToRemove; i++) {
-      chunkList.remove(chunkIndexStart);
-    }
-    chunkList.set(chunkIndexStart, newChunk);
-  }
-
-  public static Character getFirstNonWsChar(CoreMap sent)
-  {
-    String sentText = sent.get(CoreAnnotations.TextAnnotation.class);
-    for (int j = 0; j < sentText.length(); j++) {
-      char c = sentText.charAt(j);
-      if (!Character.isWhitespace(c)) {
-        return c;
-      }
-    }
-    return null;
-  }
-
-  public static Integer getFirstNonWsCharOffset(CoreMap sent, boolean relative)
-  {
-    String sentText = sent.get(CoreAnnotations.TextAnnotation.class);
-    for (int j = 0; j < sentText.length(); j++) {
-      char c = sentText.charAt(j);
-      if (!Character.isWhitespace(c)) {
-        if (relative) {
-          return j;
-        } else {
-          return j + sent.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class);
-        }
-      }
-    }
-    return null;
-  }
-
-  public static String getTrimmedText(CoreMap sent)
-  {
-    String sentText = sent.get(CoreAnnotations.TextAnnotation.class);
-    return sentText.trim();
-  }
-
-  /**
-   * Give an list of character offsets for chunk, fix sentence splitting
-   * so sentences doesn't break the chunks
-   * @param docAnnotation Document with sentences
-   * @param chunkCharOffsets ordered pairs of different chunks that should appear in sentences
-   * @return true if fix was okay (chunks are in all sentences), false otherwise
-   */
-  public static boolean fixChunkSentenceBoundaries(CoreMap docAnnotation, List<IntPair> chunkCharOffsets)
-  {
-    return fixChunkSentenceBoundaries(docAnnotation, chunkCharOffsets, false, false, false);
-  }
-
-  /**
-   * Give an list of character offsets for chunk, fix sentence splitting
-   * so sentences doesn't break the chunks
-   * @param docAnnotation Document with sentences
-   * @param chunkCharOffsets ordered pairs of different chunks that should appear in sentences
-   * @param offsetsAreNotSorted Treat each pair of offsets as independent (look through all sentences again)
-   * @param extendedFixSentence Do extended sentence fixing based on some heuristics
-   * @param moreExtendedFixSentence Do even more extended sentence fixing based on some heuristics
-   * @return true if fix was okay (chunks are in all sentences), false otherwise
-   */
-  public static boolean fixChunkSentenceBoundaries(CoreMap docAnnotation, List<IntPair> chunkCharOffsets,
-                                                   boolean offsetsAreNotSorted,
-                                                   boolean extendedFixSentence, boolean moreExtendedFixSentence)
-  {
-    String text = docAnnotation.get(CoreAnnotations.TextAnnotation.class);
-    List<CoreMap> sentences = docAnnotation.get(CoreAnnotations.SentencesAnnotation.class);
-    if (sentences == null || sentences.size() == 0) return true;
-    if (chunkCharOffsets != null) {
-      int i = 0;
-      CoreMap sentence = sentences.get(i);
-      for (IntPair offsets:chunkCharOffsets) {
-        int offsetBegin = offsets.getSource();
-        int offsetEnd = offsets.getTarget();
-        // Find sentence where sentence begins after chunk starts
-        // and sentence ends after chunk starts
-        while (offsetBegin < sentence.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class)
-                || offsetBegin >= sentence.get(CoreAnnotations.CharacterOffsetEndAnnotation.class)) {
-          i++;
-          if (i >= sentences.size()) { return false; }
-          sentence = sentences.get(i);
-        }
-        // offsetBegin is now >= sentence begin and < sentence end
-        // Check if sentence end includes chunk
-        if (sentence.get(CoreAnnotations.CharacterOffsetEndAnnotation.class) >= offsetEnd) {
-          // success!  sentence contains chunk
-        } else {
-          // hmm, sentence contains beginning of chunk, but not end
-          // Lets find sentence that contains end of chunk and merge sentences
-          int startSentIndex = i;
-          while (offsetEnd > sentence.get(CoreAnnotations.CharacterOffsetEndAnnotation.class)) {
-            i++;
-            if (i >= sentences.size()) { return false; }
-            sentence = sentences.get(i);
-          }
-          Integer firstNonWsCharOffset = getFirstNonWsCharOffset(sentence, false);
-          if (firstNonWsCharOffset != null && firstNonWsCharOffset >= offsetEnd) {
-            // Ends before first real character of this sentence, don't include this sentence
-            i--;
-            sentence = sentences.get(i);
-          }
-          // Okay, now let's merge sentences from startSendIndex to i (includes i)
-          mergeChunks(sentences, text, startSentIndex, i+1);
-          // Reset our iterating index i to startSentIndex
-          i = startSentIndex;
-          sentence = sentences.get(i);
-        }
-        if (extendedFixSentence) {
-          //System.err.println("Doing extended fixing of sentence:" + text.substring(offsetBegin,offsetEnd));
-          if (i+1 < sentences.size()) {
-            // Extended sentence fixing:
-            // Check if entity is at the end of this sentence and if next sentence starts with uppercase
-            // If not uppercase, merge with next sentence
-            boolean entityAtSentEnd = true;
-            int sentCharBegin = sentence.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class);
-            String sentText = sentence.get(CoreAnnotations.TextAnnotation.class);
-            int offsetEndInSentText = offsetEnd - sentCharBegin;
-            for (int j = offsetEndInSentText; j < sentText.length(); j++) {
-              char c = sentText.charAt(j);
-              if (!Character.isWhitespace(c)) {
-                entityAtSentEnd = false;
-                break;
-              }
-            }
-            boolean doMerge = false;
-            if (entityAtSentEnd) {
-              CoreMap nextSentence = sentences.get(i+1);
-              Character c = getFirstNonWsChar(nextSentence);
-              if (c != null) {
-                doMerge = !Character.isUpperCase(c);
-                if (!doMerge) {
-                  logger.finer("No merge: c is '" + c + "'");
-                }
-              } else {
-                logger.finer("No merge: no char");
-              }
-            } else {
-              logger.finer("No merge: entity not at end");
-            }
-            if (doMerge) {
-              logger.finer("Merge chunks");
-              mergeChunks(sentences, text, i, i+2);
-            }
-          }
-        }
-        if (offsetsAreNotSorted) {
-          i = 0;
-        }
-        sentence = sentences.get(i);
-      }
-    }
-    // Do a bit more sentence fixing
-    if (moreExtendedFixSentence) {
-      int i = 0;
-      while (i+1 < sentences.size()) {
-        boolean doMerge = false;
-        CoreMap sentence = sentences.get(i);
-        CoreMap nextSentence = sentences.get(i+1);
-        String sentTrimmedText = getTrimmedText(sentence);
-        String nextSentTrimmedText = getTrimmedText(nextSentence);
-        if (sentTrimmedText.length() <= 1 || nextSentTrimmedText.length() <= 1) {
-          // Merge
-          doMerge = true;
-        } else {
- //         List<CoreLabel> sentTokens = sentence.get(CoreAnnotations.TokensAnnotation.class);
- //         CoreLabel lastSentToken = sentTokens.get(sentTokens.size()-1);
-          Character c = getFirstNonWsChar(nextSentence);
- //         List<CoreLabel> nextSentTokens = nextSentence.get(CoreAnnotations.TokensAnnotation.class);
-          if (c != null && !Character.isUpperCase(c)) {
-            if (c == ',' || (Character.isLowerCase(c))) {
-              doMerge = true;
-            }
-          }
-        }
-        if (doMerge) {
-          mergeChunks(sentences, text, i, i+2);
-        } else {
-          i++;
-        }
-      }
-    }
-    return true;
-  }
-  /**
-   * Annotates a CoreMap representing a chunk with basic chunk information
-   *   CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
-   *   CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
-   *   TokensAnnotation - List of tokens in this chunk
-   *   TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
-   *                          tokenStartIndex + totalTokenOffset
-   *   TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
-   *                          tokenEndIndex + totalTokenOffset
-   * @param chunk - CoreMap to be annotated
-   * @param tokens - List of tokens to look for chunks
-   * @param tokenStartIndex - Index (relative to current list of tokens) at which this chunk starts
-   * @param tokenEndIndex - Index (relative to current list of tokens) at which this chunk ends (not inclusive)
-   * @param totalTokenOffset - Index of tokens to offset by
-   */
-  public static void annotateChunk(CoreMap chunk,
-                                   List<CoreLabel> tokens, int tokenStartIndex, int tokenEndIndex,  int totalTokenOffset)
-  {
-    List<CoreLabel> chunkTokens = new ArrayList<CoreLabel>(tokens.subList(tokenStartIndex, tokenEndIndex));
-    chunk.set(CoreAnnotations.CharacterOffsetBeginAnnotation.class,
-            chunkTokens.get(0).get(CoreAnnotations.CharacterOffsetBeginAnnotation.class));
-    chunk.set(CoreAnnotations.CharacterOffsetEndAnnotation.class,
-            chunkTokens.get(chunkTokens.size()-1).get(CoreAnnotations.CharacterOffsetEndAnnotation.class));
-    chunk.set(CoreAnnotations.TokensAnnotation.class, chunkTokens);
-    chunk.set(CoreAnnotations.TokenBeginAnnotation.class, tokenStartIndex+totalTokenOffset);
-    chunk.set(CoreAnnotations.TokenEndAnnotation.class, tokenEndIndex+totalTokenOffset);
-  }
-
-  public static String getTokenText(List<? extends CoreMap> tokens, Class tokenTextKey)
-  {
-    return getTokenText(tokens, tokenTextKey, " ");
-  }
-  public static String getTokenText(List<? extends CoreMap> tokens, Class tokenTextKey, String delimiter)
-  {
-    StringBuilder sb = new StringBuilder();
-    for (CoreMap t: tokens) {
-      if (sb.length() != 0) {
-        sb.append(delimiter);
-      }
-      sb.append(t.get(tokenTextKey));
-    }
-    return sb.toString();
-  }
-
-  /**
-   * Annotates a CoreMap representing a chunk with text information
-   *   TextAnnotation - String representing tokens in this chunks (token text separated by space)
-   * @param chunk - CoreMap to be annotated
-   * @param tokenTextKey - Key to use to find the token text
-   */
-  public static void annotateChunkText(CoreMap chunk, Class tokenTextKey)
-  {
-    List<CoreLabel> chunkTokens = chunk.get(CoreAnnotations.TokensAnnotation.class);
-    String text = getTokenText(chunkTokens, tokenTextKey);
-    chunk.set(CoreAnnotations.TextAnnotation.class, text);
-  }
-
-  /**
-   * Annotates a CoreMap representing a chunk with text information
-   *   TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
-   * @param chunk - CoreMap to be annotated
-   * @param origAnnotation - Annotation from which to extract the text for this chunk
-   */
-  public static void annotateChunkText(CoreMap chunk, CoreMap origAnnotation)
-  {
-    String annoText = origAnnotation.get(CoreAnnotations.TextAnnotation.class);
-    Integer annoBeginCharOffset = origAnnotation.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class);
-    if (annoBeginCharOffset == null) { annoBeginCharOffset = 0; }
-    int chunkBeginCharOffset = chunk.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class) - annoBeginCharOffset;
-    int chunkEndCharOffset = chunk.get(CoreAnnotations.CharacterOffsetEndAnnotation.class) - annoBeginCharOffset;
-    if (chunkBeginCharOffset < 0) {
-      logger.fine("Adjusting begin char offset from " + chunkBeginCharOffset + " to 0");
-      logger.fine("Chunk begin offset: " + chunk.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class) +
-        ", Source text begin offset " + annoBeginCharOffset);
-      chunkBeginCharOffset = 0;
-    }
-    if (chunkBeginCharOffset > annoText.length()) {
-      logger.fine("Adjusting begin char offset from " + chunkBeginCharOffset + " to " + annoText.length());
-      logger.fine("Chunk begin offset: " + chunk.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class) +
-        ", Source text begin offset " + annoBeginCharOffset);
-      chunkBeginCharOffset = annoText.length();
-    }
-    if (chunkEndCharOffset < 0) {
-      logger.fine("Adjusting end char offset from " + chunkEndCharOffset + " to 0");
-      logger.fine("Chunk end offset: " + chunk.get(CoreAnnotations.CharacterOffsetEndAnnotation.class) +
-        ", Source text begin offset " + annoBeginCharOffset);
-      chunkEndCharOffset = 0;
-    }
-    if (chunkEndCharOffset > annoText.length()) {
-      logger.fine("Adjusting end char offset from " + chunkEndCharOffset + " to " + annoText.length());
-      logger.fine("Chunk end offset: " + chunk.get(CoreAnnotations.CharacterOffsetEndAnnotation.class) +
-        ", Source text begin offset " + annoBeginCharOffset);
-      chunkEndCharOffset = annoText.length();
-    }
-    String chunkText = annoText.substring(chunkBeginCharOffset, chunkEndCharOffset);
-    chunk.set(CoreAnnotations.TextAnnotation.class, chunkText);
-  }
-
-  /**
-   * Annotates tokens in chunk
-   * @param chunk - CoreMap representing chunk (should have TextAnnotation and TokensAnnotation)
-   * @param tokenChunkKey - If not null, each token is annotated with the chunk using this key
-   * @param tokenLabelKey - If not null, each token is annotated with the text associated with the chunk using this key
-   */
-  public static void annotateChunkTokens(CoreMap chunk, Class tokenChunkKey, Class tokenLabelKey)
-  {
-    List<CoreLabel> chunkTokens = chunk.get(CoreAnnotations.TokensAnnotation.class);
-    if (tokenLabelKey != null) {
-      String text = chunk.get(CoreAnnotations.TextAnnotation.class);
-      for (CoreLabel t: chunkTokens) {
-        t.set(tokenLabelKey, text);
-      }
-    }
-    if (tokenChunkKey != null) {
-      for (CoreLabel t: chunkTokens) {
-        t.set(tokenChunkKey, chunk);
-      }
-    }
-  }
-
-  /**
-   * Create a new chunk Annotation with basic chunk information
-   *   CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
-   *   CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
-   *   TokensAnnotation - List of tokens in this chunk
-   *   TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
-   *                          tokenStartIndex + totalTokenOffset
-   *   TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
-   *                          tokenEndIndex + totalTokenOffset
-   * @param tokens - List of tokens to look for chunks
-   * @param tokenStartIndex - Index (relative to current list of tokens) at which this chunk starts
-   * @param tokenEndIndex - Index (relative to current list of tokens) at which this chunk ends (not inclusive)
-   * @param totalTokenOffset - Index of tokens to offset by
-   * @return Annotation representing new chunk
-   */
-  public static Annotation getAnnotatedChunk(List<CoreLabel> tokens, int tokenStartIndex, int tokenEndIndex, int totalTokenOffset)
-  {
-    Annotation chunk = new Annotation("");
-    annotateChunk(chunk, tokens, tokenStartIndex, tokenEndIndex, totalTokenOffset);
-    return chunk;
-  }
-
-  /**
-   * Create a new chunk Annotation with basic chunk information
-   *   CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
-   *   CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
-   *   TokensAnnotation - List of tokens in this chunk
-   *   TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
-   *                          tokenStartIndex + totalTokenOffset
-   *   TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
-   *                          tokenEndIndex + totalTokenOffset
-   *   TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
-   * @param tokens - List of tokens to look for chunks
-   * @param tokenStartIndex - Index (relative to current list of tokens) at which this chunk starts
-   * @param tokenEndIndex - Index (relative to current list of tokens) at which this chunk ends (not inclusive)
-   * @param totalTokenOffset - Index of tokens to offset by
-   * @param tokenChunkKey - If not null, each token is annotated with the chunk using this key
-   * @param tokenTextKey - Key to use to find the token text
-   * @param tokenLabelKey - If not null, each token is annotated with the text associated with the chunk using this key
-   * @return Annotation representing new chunk
-   */
-  public static Annotation getAnnotatedChunk(List<CoreLabel> tokens, int tokenStartIndex, int tokenEndIndex, int totalTokenOffset,
-                                             Class tokenChunkKey, Class tokenTextKey,  Class tokenLabelKey)
-  {
-    Annotation chunk = getAnnotatedChunk(tokens, tokenStartIndex, tokenEndIndex, totalTokenOffset);
-    annotateChunkText(chunk, tokenTextKey);
-    annotateChunkTokens(chunk, tokenChunkKey, tokenLabelKey);
-    return chunk;
-  }
-
-  /**
-   * Create a new chunk Annotation with basic chunk information
-   *   CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
-   *   CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
-   *   TokensAnnotation - List of tokens in this chunk
-   *   TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
-   *                          tokenStartIndex + annotation's TokenBeginAnnotation
-   *   TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
-   *                          tokenEndIndex + annotation's TokenBeginAnnotation
-   *   TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
-   * @param annotation - Annotation from which to extract the text for this chunk
-   * @param tokenStartIndex - Index (relative to current list of tokens) at which this chunk starts
-   * @param tokenEndIndex - Index (relative to current list of tokens) at which this chunk ends (not inclusive)
-   * @return Annotation representing new chunk
-   */
-  public static Annotation getAnnotatedChunk(CoreMap annotation, int tokenStartIndex, int tokenEndIndex)
-  {
-    Integer annoTokenBegin = annotation.get(CoreAnnotations.TokenBeginAnnotation.class);
-    if (annoTokenBegin == null) { annoTokenBegin = 0; }
-    List<CoreLabel> tokens = annotation.get(CoreAnnotations.TokensAnnotation.class);
-    Annotation chunk = getAnnotatedChunk(tokens, tokenStartIndex, tokenEndIndex, annoTokenBegin);
-    String text = annotation.get(CoreAnnotations.TextAnnotation.class);
-    if (text != null) {
-      annotateChunkText(chunk, annotation);
-    } else {
-      annotateChunkText(chunk, CoreAnnotations.TextAnnotation.class);
-    }
-    return chunk;
-  }
-
-  /**
-   * Create a new chunk Annotation with basic chunk information
-   *   CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
-   *   CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
-   *   TokensAnnotation - List of tokens in this chunk
-   *   TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
-   *                          tokenStartIndex + annotation's TokenBeginAnnotation
-   *   TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
-   *                          tokenEndIndex + annotation's TokenBeginAnnotation
-   *   TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
-   * @param annotation - Annotation from which to extract the text for this chunk
-   * @param tokenStartIndex - Index (relative to current list of tokens) at which this chunk starts
-   * @param tokenEndIndex - Index (relative to current list of tokens) at which this chunk ends (not inclusive)
-   * @param tokenChunkKey - If not null, each token is annotated with the chunk using this key
-   * @param tokenLabelKey - If not null, each token is annotated with the text associated with the chunk using this key
-   * @return Annotation representing new chunk
-   */
-  public static Annotation getAnnotatedChunk(CoreMap annotation, int tokenStartIndex, int tokenEndIndex,
-                                             Class tokenChunkKey, Class tokenLabelKey)
-  {
-    Annotation chunk = getAnnotatedChunk(annotation, tokenStartIndex, tokenEndIndex);
-    annotateChunkTokens(chunk, tokenChunkKey, tokenLabelKey);
-    return chunk;
-  }
-
-  public static CoreMap getAnnotatedChunkUsingCharOffsets(CoreMap annotation, int charOffsetStart, int charOffsetEnd)
-  {
-    // TODO: make more efficient search
-    List<CoreMap> cm = getAnnotatedChunksUsingSortedCharOffsets(annotation,
-            CollectionUtils.makeList(new IntPair(charOffsetStart, charOffsetEnd)));
-    if (cm != null && cm.size() > 0) {
-      return cm.get(0);
-    } else {
-      return null;
-    }
-  }
-
-  public static List<CoreMap> getAnnotatedChunksUsingSortedCharOffsets(
-          CoreMap annotation, List<IntPair> charOffsets)
-  {
-    return getAnnotatedChunksUsingSortedCharOffsets(annotation, charOffsets, true, null, null, false);
-  }
-  
-  /**
-   * Create a list of new chunk Annotation with basic chunk information
-   *   CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
-   *   CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
-   *   TokensAnnotation - List of tokens in this chunk
-   *   TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
-   *                          tokenStartIndex + annotation's TokenBeginAnnotation
-   *   TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
-   *                          tokenEndIndex + annotation's TokenBeginAnnotation
-   *   TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
-   * @param annotation - Annotation from which to extract the text for this chunk
-   * @param charOffsets - List of start and end (not inclusive) character offsets
-   *                      Note: assume char offsets are sorted and nonoverlapping!!!
-   * @param charOffsetIsRelative - Whether the character offsets are relative to the current annotation or absolute offsets
-   * @param tokenChunkKey - If not null, each token is annotated with the chunk using this key
-   * @param tokenLabelKey - If not null, each token is annotated with the text associated with the chunk using this key
-   * @param allowPartialTokens - Whether to allow partial tokens or not
-   * @return List of annotation representing new chunks
-   */
-  public static List<CoreMap> getAnnotatedChunksUsingSortedCharOffsets(
-          CoreMap annotation, List<IntPair> charOffsets, boolean charOffsetIsRelative,
-          Class tokenChunkKey, Class tokenLabelKey, boolean allowPartialTokens)
-  {
-    String annoText = annotation.get(CoreAnnotations.TextAnnotation.class);
-    List<CoreMap> chunks = new ArrayList<CoreMap>(charOffsets.size());
-    List<CoreLabel> annoTokens = annotation.get(CoreAnnotations.TokensAnnotation.class);
-    Integer annoCharBegin = annotation.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class);
-    if (annoCharBegin == null) { annoCharBegin = 0; }
-    Integer annoTokenBegin = annotation.get(CoreAnnotations.TokenBeginAnnotation.class);
-    if (annoTokenBegin == null) { annoTokenBegin = 0; }
-    int i = 0;
-    for (IntPair p:charOffsets) {
-      int beginRelCharOffset = charOffsetIsRelative? p.getSource():p.getSource()-annoCharBegin;
-      int endRelCharOffset = charOffsetIsRelative? p.getTarget():p.getTarget()-annoCharBegin;
-      int beginCharOffset = beginRelCharOffset + annoCharBegin;
-      int endCharOffset = endRelCharOffset + annoCharBegin;
-      if (beginRelCharOffset >= annoText.length()) { break; }
-      if (endRelCharOffset > annoText.length()) { endRelCharOffset = annoText.length(); }
-      if (allowPartialTokens) {
-        while (i < annoTokens.size() && annoTokens.get(i).endPosition() <= beginCharOffset) {
-          i++;
-        }
-      } else {
-        while (i < annoTokens.size() && annoTokens.get(i).beginPosition() < beginCharOffset) {
-          i++;
-        }
-      }
-      if (i >= annoTokens.size()) break;
-      int tokenBegin = i;
-      int j = i;
-      if (allowPartialTokens) {
-        while (j < annoTokens.size() && annoTokens.get(j).beginPosition() < endCharOffset) {
-          j++;
-        }
-      } else {
-        while (j < annoTokens.size() && annoTokens.get(j).endPosition() <= endCharOffset) {
-          assert(annoTokens.get(j).beginPosition() >= beginCharOffset);
-          j++;
-        }
-      }
-      int tokenEnd = j;
-
-      List<CoreLabel> chunkTokens = new ArrayList(annoTokens.subList(tokenBegin, tokenEnd));
-      String chunkText = annoText.substring(beginRelCharOffset, endRelCharOffset);
-      Annotation chunk = new Annotation(chunkText);
-      chunk.set(CoreAnnotations.CharacterOffsetBeginAnnotation.class, beginCharOffset);
-      chunk.set(CoreAnnotations.CharacterOffsetEndAnnotation.class, endCharOffset);
-      chunk.set(CoreAnnotations.TokensAnnotation.class, chunkTokens);
-      chunk.set(CoreAnnotations.TokenBeginAnnotation.class, tokenBegin + annoTokenBegin);
-      chunk.set(CoreAnnotations.TokenEndAnnotation.class, tokenEnd + annoTokenBegin);
-      annotateChunkTokens(chunk, tokenChunkKey, tokenLabelKey);
-      chunks.add(chunk);
-      if (j >= annoTokens.size()) break;
-    }
-    if (chunks.size() != charOffsets.size()) {
-      logger.warning("WARNING: Only " + chunks.size() + "/" + charOffsets.size()
-              + " chunks found.  Check if offsets are sorted/nonoverlapping");      
-    }
-    return chunks;
-  }
-
-  public static void annotateChunk(CoreMap annotation, Class newAnnotationKey,
-                                   Class aggrKey, CoreMapAttributeAggregator aggregator)
-  {
-    Object v = aggregator.aggregate(aggrKey, annotation.get(CoreAnnotations.TokensAnnotation.class));
-    annotation.set(newAnnotationKey, v);
-  }
-
-  public static void annotateChunk(CoreMap chunk, Map<String,String> attributes)
-  {
-    for (String attr:attributes.keySet()) {
-      String value = attributes.get(attr);
-      AnnotationLookup.KeyLookup lookup = AnnotationLookup.getCoreKey(attr);
-      if (attr != null) {
-        if (value != null)  {
-          try {
-            Class valueClass = AnnotationLookup.getValueType(lookup.coreKey);
-            if (valueClass == String.class) {
-              chunk.set((Class<? extends CoreAnnotation>) lookup.coreKey, value);              
-            } else {
-             Method valueOfMethod = valueClass.getMethod("valueOf", String.class);
-              if (valueOfMethod != null) {
-                chunk.set((Class<? extends CoreAnnotation>) lookup.coreKey, valueOfMethod.invoke(valueClass, value));
-              }
-            }
-          } catch (Exception ex) {
-            throw new RuntimeException("Unable to annotate attribute " + attr, ex);
-          }
-        } else {
-          chunk.set((Class<? extends CoreAnnotation>) lookup.coreKey, null);
-        }
-      } else {
-        throw new UnsupportedOperationException("Unknown attributes: " + attr);
-      }
-    }
-  }
-
-  public static void annotateChunks(List<? extends CoreMap> chunks, int start, int end, Map<String,String> attributes)
-  {
-    for (int i = start; i < end; i++) {
-      annotateChunk(chunks.get(i), attributes);
-    }
-  }
-
-  public static void annotateChunks(List<? extends CoreMap> chunks, Map<String,String> attributes)
-  {
-    for (CoreMap chunk:chunks) {
-      annotateChunk(chunk, attributes);
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/pipeline/CoreMapAttributeAggregator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/pipeline/CoreMapAttributeAggregator.java
deleted file mode 100644
index befdb28..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/pipeline/CoreMapAttributeAggregator.java
+++ /dev/null
@@ -1,291 +0,0 @@
-package edu.stanford.nlp.pipeline;
-
-import edu.stanford.nlp.ling.CoreAnnotations;
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.stats.IntCounter;
-import edu.stanford.nlp.util.ArrayMap;
-import edu.stanford.nlp.util.CoreMap;
-
-import java.util.*;
-
-/**
-* Functions for aggregating token attributes
-*
-* @author Angel Chang
-*/
-public abstract class CoreMapAttributeAggregator
-{
-  public static Map<Class, CoreMapAttributeAggregator> getDefaultAggregators()
-  {
-    return DEFAULT_AGGREGATORS;
-  }
-
-  public static CoreMapAttributeAggregator getAggregator(String str)
-  {
-    return AGGREGATOR_LOOKUP.get(str);
-  }
-
-  abstract public Object aggregate(Class key, List<? extends CoreMap> in);
-
-  public final static CoreMapAttributeAggregator FIRST_NON_NIL = new CoreMapAttributeAggregator() {
-      public Object aggregate(Class key, List<? extends CoreMap> in) {
-        if (in == null) return null;
-        for (CoreMap cm:in) {
-          Object obj = cm.get(key);
-          if (obj != null) {
-            return obj;
-          }
-        }
-        return null;
-      }
-    };
-
-  public final static CoreMapAttributeAggregator FIRST = new CoreMapAttributeAggregator() {
-      public Object aggregate(Class key, List<? extends CoreMap> in) {
-        if (in == null) return null;
-        for (CoreMap cm:in) {
-          Object obj = cm.get(key);
-          return obj;
-        }
-        return null;
-      }
-    };
-
-  public final static CoreMapAttributeAggregator LAST_NON_NIL = new CoreMapAttributeAggregator() {
-      public Object aggregate(Class key, List<? extends CoreMap> in) {
-        if (in == null) return null;
-        for (int i = in.size()-1; i >= 0; i--) {
-          CoreMap cm = in.get(i);
-          Object obj = cm.get(key);
-          if (obj != null) {
-            return obj;
-          }
-        }
-        return null;
-      }
-    };
-
-  public final static CoreMapAttributeAggregator LAST = new CoreMapAttributeAggregator() {
-      public Object aggregate(Class key, List<? extends CoreMap> in) {
-        if (in == null) return null;
-        for (int i = in.size()-1; i >= 0; i--) {
-          CoreMap cm = in.get(i);
-          return cm.get(key);
-        }
-        return null;
-      }
-    };
-
-  public final static class ConcatListAggregator<T> extends CoreMapAttributeAggregator {
-    public ConcatListAggregator()
-    {
-    }
-    public Object aggregate(Class key, List<? extends CoreMap> in) {
-      if (in == null) return null;
-      List<T> res = new ArrayList<T>();
-      for (CoreMap cm:in) {
-        Object obj = cm.get(key);
-        if (obj != null) {
-          if (obj instanceof List) {
-            res.addAll( (List<T>) obj);
-          }
-        }
-      }
-      return res;
-    }
-  }
-  public final static class ConcatCoreMapListAggregator<T extends CoreMap> extends CoreMapAttributeAggregator {
-    boolean concatSelf = false;
-    public ConcatCoreMapListAggregator()
-    {
-    }
-    public ConcatCoreMapListAggregator(boolean concatSelf)
-    {
-      this.concatSelf = concatSelf;
-    }
-    public Object aggregate(Class key, List<? extends CoreMap> in) {
-      if (in == null) return null;
-      List<T> res = new ArrayList<T>();
-      for (CoreMap cm:in) {
-        Object obj = cm.get(key);
-        boolean added = false;
-        if (obj != null) {
-          if (obj instanceof List) {
-            res.addAll( (List<T>) obj);
-            added = true;
-          }
-        }
-        if (!added && concatSelf) {
-          res.add((T) cm);
-        }
-      }
-      return res;
-    }
-  }
-  public final static ConcatCoreMapListAggregator<CoreLabel> CONCAT_TOKENS = new ConcatCoreMapListAggregator<CoreLabel>(true);
-  public final static ConcatCoreMapListAggregator<CoreMap> CONCAT_COREMAP = new ConcatCoreMapListAggregator<CoreMap>(true);
-
-
-  public final static class ConcatAggregator extends CoreMapAttributeAggregator {
-    String delimiter;
-    public ConcatAggregator(String delimiter)
-    {
-      this.delimiter = delimiter;
-    }
-    public Object aggregate(Class key, List<? extends CoreMap> in) {
-      if (in == null) return null;
-      StringBuilder sb = new StringBuilder();
-      for (CoreMap cm:in) {
-        Object obj = cm.get(key);
-        if (obj != null) {
-          if (sb.length() > 0) {
-            sb.append(delimiter);
-          }
-          sb.append(obj);
-        }
-      }
-      return sb.toString();
-    }
-  }
-  public final static CoreMapAttributeAggregator CONCAT = new ConcatAggregator(" ");
-  public final static CoreMapAttributeAggregator COUNT = new CoreMapAttributeAggregator() {
-    public Object aggregate(Class key, List<? extends CoreMap> in) {
-      return in.size();
-    }
-  };
-  public final static CoreMapAttributeAggregator SUM = new CoreMapAttributeAggregator() {
-    public Object aggregate(Class key, List<? extends CoreMap> in) {
-      if (in == null) return null;
-      double sum = 0;
-      for (CoreMap cm:in) {
-        Object obj = cm.get(key);
-        if (obj != null) {
-          if (obj instanceof Number) {
-            sum += ((Number) obj).doubleValue();
-          } else if (obj instanceof String) {
-            sum += Double.parseDouble((String) obj);
-          } else {
-            throw new RuntimeException("Cannot sum attribute " + key + ", object of type: " + obj.getClass());
-          }
-        }
-      }
-      return sum;
-    }
-  };
-  public final static CoreMapAttributeAggregator MIN = new CoreMapAttributeAggregator() {
-    public Object aggregate(Class key, List<? extends CoreMap> in) {
-      if (in == null) return null;
-      Comparable min = null;
-      for (CoreMap cm:in) {
-        Object obj = cm.get(key);
-        if (obj != null) {
-          if (obj instanceof Comparable) {
-            Comparable c = (Comparable) obj;
-            if (min == null) {
-              min = c;
-            } else if (c.compareTo(min) < 0) {
-              min = c;
-            }
-          } else {
-            throw new RuntimeException("Cannot get min of attribute " + key + ", object of type: " + obj.getClass());
-          }
-        }
-      }
-      return min;
-    }
-  };
-  public final static CoreMapAttributeAggregator MAX = new CoreMapAttributeAggregator() {
-    public Object aggregate(Class key, List<? extends CoreMap> in) {
-      if (in == null) return null;
-      Comparable max = null;
-      for (CoreMap cm:in) {
-        Object obj = cm.get(key);
-        if (obj != null) {
-          if (obj instanceof Comparable) {
-            Comparable c = (Comparable) obj;
-            if (max == null) {
-              max = c;
-            } else if (c.compareTo(max) > 0) {
-              max = c;
-            }
-          } else {
-            throw new RuntimeException("Cannot get max of attribute " + key + ", object of type: " + obj.getClass());
-          }
-        }
-      }
-      return max;
-    }
-  };
-
-  public final static class MostFreqAggregator extends CoreMapAttributeAggregator {
-    Set<Object> ignoreSet;
-    public MostFreqAggregator()
-    {
-    }
-
-    public MostFreqAggregator(Set<Object> set)
-    {
-      ignoreSet = set;
-    }
-
-    public Object aggregate(Class key, List<? extends CoreMap> in) {
-      if (in == null) return null;
-      IntCounter<Object> counter = new IntCounter<Object>();
-      for (CoreMap cm:in) {
-        Object obj = cm.get(key);
-        if (obj != null && (ignoreSet == null || !ignoreSet.contains(obj))) {
-          counter.incrementCount(obj);
-        }
-      }
-      if (counter.size() > 0) {
-        return counter.argmax();
-      } else {
-        return null;
-      }
-    }
-  }
-  public final static CoreMapAttributeAggregator MOST_FREQ = new MostFreqAggregator();
-
-  private static final Map<String, CoreMapAttributeAggregator> AGGREGATOR_LOOKUP = new HashMap<String, CoreMapAttributeAggregator>();
-  static {
-    AGGREGATOR_LOOKUP.put("FIRST", FIRST);
-    AGGREGATOR_LOOKUP.put("FIRST_NON_NIL", FIRST_NON_NIL);
-    AGGREGATOR_LOOKUP.put("LAST", LAST);
-    AGGREGATOR_LOOKUP.put("LAST_NON_NIL", LAST_NON_NIL);
-    AGGREGATOR_LOOKUP.put("MIN", MIN);
-    AGGREGATOR_LOOKUP.put("MAX", MAX);
-    AGGREGATOR_LOOKUP.put("COUNT", COUNT);
-    AGGREGATOR_LOOKUP.put("SUM", SUM);
-    AGGREGATOR_LOOKUP.put("CONCAT", CONCAT);
-    AGGREGATOR_LOOKUP.put("CONCAT_TOKENS", CONCAT_TOKENS);
-    AGGREGATOR_LOOKUP.put("MOST_FREQ", MOST_FREQ);
-  }
-
-  public static final Map<Class, CoreMapAttributeAggregator> DEFAULT_AGGREGATORS;
-  public static final Map<Class, CoreMapAttributeAggregator> DEFAULT_NUMERIC_AGGREGATORS;
-  public static final Map<Class, CoreMapAttributeAggregator> DEFAULT_NUMERIC_TOKENS_AGGREGATORS;
-
-  static {
-    Map<Class, CoreMapAttributeAggregator> defaultAggr = new ArrayMap<Class, CoreMapAttributeAggregator>();
-    defaultAggr.put(CoreAnnotations.TextAnnotation.class, CoreMapAttributeAggregator.CONCAT);
-    defaultAggr.put(CoreAnnotations.CharacterOffsetBeginAnnotation.class, CoreMapAttributeAggregator.FIRST);
-    defaultAggr.put(CoreAnnotations.CharacterOffsetEndAnnotation.class, CoreMapAttributeAggregator.LAST);
-    defaultAggr.put(CoreAnnotations.TokenBeginAnnotation.class, CoreMapAttributeAggregator.FIRST);
-    defaultAggr.put(CoreAnnotations.TokenEndAnnotation.class, CoreMapAttributeAggregator.LAST);
-    defaultAggr.put(CoreAnnotations.TokensAnnotation.class, CoreMapAttributeAggregator.CONCAT_TOKENS);
-    DEFAULT_AGGREGATORS = Collections.unmodifiableMap(defaultAggr);
-
-    Map<Class, CoreMapAttributeAggregator> defaultNumericAggr = new ArrayMap<Class, CoreMapAttributeAggregator>(DEFAULT_AGGREGATORS);
-    defaultNumericAggr.put(CoreAnnotations.NumericCompositeTypeAnnotation.class, CoreMapAttributeAggregator.FIRST_NON_NIL);
-    defaultNumericAggr.put(CoreAnnotations.NumericCompositeValueAnnotation.class, CoreMapAttributeAggregator.FIRST_NON_NIL);
-    defaultNumericAggr.put(CoreAnnotations.NamedEntityTagAnnotation.class, CoreMapAttributeAggregator.FIRST_NON_NIL);
-    defaultNumericAggr.put(CoreAnnotations.NormalizedNamedEntityTagAnnotation.class, CoreMapAttributeAggregator.FIRST_NON_NIL);
-    DEFAULT_NUMERIC_AGGREGATORS = Collections.unmodifiableMap(defaultNumericAggr);
-
-    Map<Class, CoreMapAttributeAggregator> defaultNumericTokensAggr = new ArrayMap<Class, CoreMapAttributeAggregator>(DEFAULT_NUMERIC_AGGREGATORS);
-    defaultNumericTokensAggr.put(CoreAnnotations.NumerizedTokensAnnotation.class, CoreMapAttributeAggregator.CONCAT_COREMAP);
-    DEFAULT_NUMERIC_TOKENS_AGGREGATORS = Collections.unmodifiableMap(defaultNumericTokensAggr);
-  }
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/pipeline/LabeledChunkIdentifier.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/pipeline/LabeledChunkIdentifier.java
deleted file mode 100644
index 6278c3d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/pipeline/LabeledChunkIdentifier.java
+++ /dev/null
@@ -1,302 +0,0 @@
-package edu.stanford.nlp.pipeline;
-
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.util.CoreMap;
-
-import java.util.ArrayList;
-import java.util.List;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-/**
- * Identifies chunks based on labels that uses IOB like encoding
- * Assumes labels have the form <tag>-<type>
- *  where the tag is a prefix indicating where in the chunk it is.
- * Supports various encodings: IO, IOB, IOE, BILOU, SBEIO, []
- * The type is
- * Example:  Bill   works for  Bank   of     America
- * IO:       I-PER  O     O    I-ORG  I-ORG  I-ORG
- * IOB1:     B-PER  O     O    B-ORG  I-ORG  I-ORG
- * IOB2:     I-PER  O     O    B-ORG  I-ORG  I-ORG
- * IOE1:     E-PER  O     O    I-ORG  I-ORG  E-ORG
- * IOE2:     I-PER  O     O    I-ORG  I-ORG  E-ORG
- * BILOU:    U-PER  O     O    B-ORG  I-ORG  L-ORG
- * SBEIO:    S-PER  O     O    B-ORG  I-ORG  E-ORG
- * @author Angel Chang
- */
-public class LabeledChunkIdentifier {
-  /**
-   * Whether to use or ignore provided tag (the label prefix)
-   */
-  private boolean ignoreProvidedTag = false;
-
-  /**
-   * Label/Type indicating the token is not a part of a chunk
-   */
-  private String negLabel = "O";
-
-  /**
-   * What tag to default to if label/type indicate it is part of a chunk
-   *  (used if type does not match negLabel and
-   *    the tag is not provided or ignoreProvidedTag is set)
-   */
-  private String defaultPosTag = "I";
-
-  /**
-   * What tag to default to if label/type indicate it is not part of a chunk
-   *  (used if type matches negLabel and
-   *    the tag is not provided or ignoreProvidedTag is set)
-   */
-  private String defaultNegTag = "O";
-
-  /**
-   * Find and annotate chunks.  Returns list of CoreMap (Annotation) objects.
-   * @param tokens - List of tokens to look for chunks
-   * @param totalTokensOffset - Index of tokens to offset by
-   * @param textKey - Key to use to find the token text
-   * @param labelKey - Key to use to find the token label (to determine if inside chunk or not)
-   * @return List of annotations (each as a CoreMap) representing the chunks of tokens
-   */
-  @SuppressWarnings("unchecked")
-  public List<CoreMap> getAnnotatedChunks(List<CoreLabel> tokens, int totalTokensOffset, Class textKey, Class labelKey)
-  {
-    return getAnnotatedChunks(tokens, totalTokensOffset, textKey, labelKey, null, null);
-  }
-
-  /**
-   * Find and annotate chunks.  Returns list of CoreMap (Annotation) objects
-   * each representing a chunk with the following annotations set:
-   *   CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
-   *   CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
-   *   TokensAnnotation - List of tokens in this chunk
-   *   TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
-   *   TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
-   *   TextAnnotation - String representing tokens in this chunks (token text separated by space)
-   * @param tokens - List of tokens to look for chunks
-   * @param totalTokensOffset - Index of tokens to offset by
-   * @param labelKey - Key to use to find the token label (to determine if inside chunk or not)
-   * @param textKey - Key to use to find the token text
-   * @param tokenChunkKey - If not null, each token is annotated with the chunk using this key
-   * @param tokenLabelKey - If not null, each token is annotated with the text associated with the chunk using this key
-   * @return List of annotations (each as a CoreMap) representing the chunks of tokens
-   */
-  @SuppressWarnings("unchecked")
-  public List<CoreMap> getAnnotatedChunks(List<CoreLabel> tokens, int totalTokensOffset,
-                                          Class textKey, Class labelKey,
-                                          Class tokenChunkKey, Class tokenLabelKey)
-  {
-    List<CoreMap> chunks = new ArrayList();
-    LabelTagType prevTagType = null;
-    int tokenBegin = -1;
-    for (int i = 0; i < tokens.size(); i++) {
-      CoreLabel token = tokens.get(i);
-      String label = (String) token.get(labelKey);
-      LabelTagType curTagType = getTagType(label);
-      if (isEndOfChunk(prevTagType, curTagType)) {
-        int tokenEnd = i;
-        CoreMap chunk = ChunkAnnotationUtils.getAnnotatedChunk(tokens, tokenBegin, tokenEnd, totalTokensOffset,
-                                                               tokenChunkKey, textKey, tokenLabelKey);
-        chunk.set(labelKey, prevTagType.type);
-        chunks.add(chunk);
-        tokenBegin = -1;
-      }
-      if (isStartOfChunk(prevTagType, curTagType)) {
-        if (tokenBegin >= 0) {
-          throw new RuntimeException("New chunk started, prev chunk not ended yet!");
-        }
-        tokenBegin = i;
-      }
-      prevTagType = curTagType;
-    }
-    if (tokenBegin >= 0) {
-      CoreMap chunk = ChunkAnnotationUtils.getAnnotatedChunk(tokens, tokenBegin, tokens.size(), totalTokensOffset,
-                                                             tokenChunkKey, textKey, tokenLabelKey);
-      chunk.set(labelKey, prevTagType.type);
-      chunks.add(chunk);
-    }
-//    System.out.println("number of chunks " +  chunks.size());
-    return chunks;
-  }
-
-  /**
-   * Returns whether a chunk ended between the previous and current token
-   * @param prevTag - the tag of the previous token
-   * @param prevType - the type of the previous token
-   * @param curTag - the tag of the current token
-   * @param curType - the type of the current token
-   * @return true if the previous token was the last token of a chunk
-   */
-  public static boolean isEndOfChunk(String prevTag, String prevType, String curTag, String curType)
-  {
-    boolean chunkEnd = false;
-
-    if ( "B".equals(prevTag) && "B".equals(curTag) ) { chunkEnd = true; }
-    if ( "B".equals(prevTag) && "O".equals(curTag) ) { chunkEnd = true; }
-    if ( "I".equals(prevTag) && "B".equals(curTag) ) { chunkEnd = true; }
-    if ( "I".equals(prevTag) && "O".equals(curTag) ) { chunkEnd = true; }
-
-    if ( "E".equals(prevTag) || "L".equals(prevTag)
-          || "S".equals(prevTag) || "U".equals(prevTag)
-          || "[".equals(prevTag) || "]".equals(prevTag)) { chunkEnd = true; }
-
-    if (!"O".equals(prevTag) && !".".equals(prevTag) && !prevType.equals(curType)) {
-      chunkEnd = true;
-    }
-
-    return chunkEnd;
-  }
-
-  /**
-   * Returns whether a chunk ended between the previous and current token
-   * @param prev - the label/tag/type of the previous token
-   * @param cur - the label/tag/type of the current token
-   * @return true if the previous token was the last token of a chunk
-   */
-  public static boolean isEndOfChunk(LabelTagType prev, LabelTagType cur)
-  {
-    if (prev == null) return false;
-    return isEndOfChunk(prev.tag, prev.type, cur.tag, cur.type);
-  }
-
-  /**
-   * Returns whether a chunk started between the previous and current token
-   * @param prevTag - the tag of the previous token
-   * @param prevType - the type of the previous token
-   * @param curTag - the tag of the current token
-   * @param curType - the type of the current token
-   * @return true if the current token was the first token of a chunk
-   */
-  public static boolean isStartOfChunk(String prevTag, String prevType, String curTag, String curType)
-  {
-    boolean chunkStart = false;
-
-    boolean prevTagE = "E".equals(prevTag) || "L".equals(prevTag) || "S".equals(prevTag) || "U".equals(prevTag);
-    boolean curTagE = "E".equals(curTag) || "L".equals(curTag) || "S".equals(curTag) || "U".equals(curTag);
-    if ( prevTagE && curTagE ) { chunkStart = true; }
-    if ( prevTagE && "I".equals(curTag) ) { chunkStart = true; }
-    if ( "O".equals(prevTag) && curTagE ) { chunkStart = true; }
-    if ( "O".equals(prevTag) && "I".equals(curTag) ) { chunkStart = true; }
-
-    if ( "B".equals(curTag) || "S".equals(curTag) || "U".equals(curTag)
-          || "[".equals(curTag) || "]".equals(curTag)) { chunkStart = true; }
-
-    if (!"O".equals(curTag) && !".".equals(curTag) && !prevType.equals(curType)) {
-      chunkStart = true;
-    }
-
-    return chunkStart;
-  }
-
-  /**
-   * Returns whether a chunk started between the previous and current token
-   * @param prev - the label/tag/type of the previous token
-   * @param cur - the label/tag/type of the current token
-   * @return true if the current token was the first token of a chunk
-   */
-  public static boolean isStartOfChunk(LabelTagType prev, LabelTagType cur)
-  {
-    if (prev == null) {
-      return isStartOfChunk("O", "O", cur.tag, cur.type);
-    } else {
-      return isStartOfChunk(prev.tag, prev.type, cur.tag, cur.type);
-    }
-  }
-
-  private static Pattern labelPattern = Pattern.compile("^([^-]*)-(.*)$");
-
-  /**
-   * Class representing a label, tag and type
-   */
-  public static class LabelTagType
-  {
-    public String label;
-    public String tag;
-    public String type;
-
-    public LabelTagType(String label, String tag, String type)
-    {
-      this.label = label;
-      this.tag = tag;
-      this.type = type;
-    }
-
-    public boolean typeMatches(LabelTagType other)
-    {
-      return this.type.equals(other.type);
-    }
-
-    public String toString()
-    {
-      StringBuilder sb = new StringBuilder();
-      sb.append("(");
-      sb.append(label).append(",");
-      sb.append(tag).append(",");
-      sb.append(type).append(")");
-      return sb.toString();
-    }
-  }
-
-  public LabelTagType getTagType(String label)
-  {
-    if (label == null) {
-      return new LabelTagType(negLabel, defaultNegTag, negLabel);
-    }
-    String type;
-    String tag;
-    Matcher matcher = labelPattern.matcher(label);
-    if (matcher.matches()) {
-      if (ignoreProvidedTag) {
-        type = matcher.group(2);
-        if (negLabel.equals(type)) {
-          tag = defaultNegTag;
-        } else {
-          tag = defaultPosTag;
-        }
-      } else {
-        tag = matcher.group(1);
-        type = matcher.group(2);
-      }
-    } else {
-      type = label;
-      if (negLabel.equals(label)) {
-        tag = defaultNegTag;
-      } else {
-        tag = defaultPosTag;
-      }
-    }
-    return new LabelTagType(label, tag, type);
-  }
-
-  public String getDefaultPosTag() {
-    return defaultPosTag;
-  }
-
-  public void setDefaultPosTag(String defaultPosTag) {
-    this.defaultPosTag = defaultPosTag;
-  }
-
-  public String getDefaultNegTag() {
-    return defaultNegTag;
-  }
-
-  public void setDefaultNegTag(String defaultNegTag) {
-    this.defaultNegTag = defaultNegTag;
-  }
-
-  public String getNegLabel() {
-    return negLabel;
-  }
-
-  public void setNegLabel(String negLabel) {
-    this.negLabel = negLabel;
-  }
-
-  public boolean isIgnoreProvidedTag() {
-    return ignoreProvidedTag;
-  }
-
-  public void setIgnoreProvidedTag(boolean ignoreProvidedTag) {
-    this.ignoreProvidedTag = ignoreProvidedTag;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/AbstractTokenizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/AbstractTokenizer.java
deleted file mode 100644
index 6646241..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/AbstractTokenizer.java
+++ /dev/null
@@ -1,96 +0,0 @@
-package edu.stanford.nlp.process;
-
-
-import java.util.ArrayList;
-import java.util.List;
-import java.util.NoSuchElementException;
-
-/**
- * An abstract tokenizer.  Tokenizers extending AbstractTokenizer need only
- * implement the <code>getNext()</code> method. This implementation does not
- * allow null tokens, since
- * null is used in the protected nextToken field to signify that no more
- * tokens are available.
- *
- * @author Teg Grenager (grenager@stanford.edu)
- */
-
-public abstract class AbstractTokenizer<T> implements Tokenizer<T> {
-
-  protected T nextToken; // = null;
-
-  /**
-   * Internally fetches the next token.
-   *
-   * @return the next token in the token stream, or null if none exists.
-   */
-  protected abstract T getNext();
-
-  /**
-   * Returns the next token from this Tokenizer.
-   *
-   * @return the next token in the token stream.
-   * @throws java.util.NoSuchElementException
-   *          if the token stream has no more tokens.
-   */
-  public T next() {
-    if (nextToken == null) {
-      nextToken = getNext();
-    }
-    T result = nextToken;
-    nextToken = null;
-    if (result == null) {
-      throw new NoSuchElementException();
-    }
-    return result;
-  }
-
-  /**
-   * Returns <code>true</code> if this Tokenizer has more elements.
-   */
-  public boolean hasNext() {
-    if (nextToken == null) {
-      nextToken = getNext();
-    }
-    return nextToken != null;
-  }
-
-  /**
-   * This is an optional operation, by default not supported.
-   */
-  public void remove() {
-    throw new UnsupportedOperationException();
-  }
-
-  /**
-   * This is an optional operation, by default supported.
-   *
-   * @return The next token in the token stream.
-   * @throws java.util.NoSuchElementException
-   *          if the token stream has no more tokens.
-   */
-  public T peek() {
-    if (nextToken == null) {
-      nextToken = getNext();
-    }
-    if (nextToken == null) {
-      throw new NoSuchElementException();
-    }
-    return nextToken;
-  }
-
-  /**
-   * Returns text as a List of tokens.
-   *
-   * @return A list of all tokens remaining in the underlying Reader
-   */
-  public List<T> tokenize() {
-    // System.out.println("tokenize called");
-    List<T> result = new ArrayList<T>();
-    while (hasNext()) {
-      result.add(next());
-    }
-    return result;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/Americanize.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/Americanize.java
deleted file mode 100644
index 54d68c5..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/Americanize.java
+++ /dev/null
@@ -1,227 +0,0 @@
-package edu.stanford.nlp.process;
-
-
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.util.StringUtils;
-
-
-import edu.stanford.nlp.ling.HasWord;
-
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.io.InputStreamReader;
-import java.util.HashMap;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-
-/**
- * Takes a HasWord or String and returns an Americanized version of it.
- * Optionally, it does some month/day name normalization to capitalized.
- * This is deterministic spelling conversion, and so cannot deal with
- * certain cases involving complex ambiguities, but it can do most of the
- * simple case of English to American conversion.
- * <p>
- * <i>This list is still quite incomplete, but does some of the
- * most common cases found when running our parser or doing biomedical
- * processing. to expand this list, we should probably look at:</i>
- * <code>http://wordlist.sourceforge.net/</code> or
- * <code>http://home.comcast.net/~helenajole/Harry.html</code>.
- *
- * @author Christopher Manning
- */
-public class Americanize implements Function<HasWord,HasWord> {
-
-  private static boolean DEFAULT_CAPITALIZE_TIMEX = true;
-
-  private boolean capitalizeTimex = true;
-
-  public static final int DONT_CAPITALIZE_TIMEX = 1;
-
-  public Americanize() {
-  }
-
-  /** Make an object for Americanizing spelling.
-   *
-   * @param flags An integer representing bit flags. At present the only
-   *      recognized flag is DONT_CAPITALIZE_TIMEX = 1 which suppresses
-   *      capitalization of days of the week and months
-   */
-  public Americanize(int flags) {
-    if ((flags & DONT_CAPITALIZE_TIMEX) != 0) {
-      capitalizeTimex = false;
-    }
-  }
-
-
-  /**
-   * Americanize the HasWord or String coming in.
-   *
-   * @param w A HasWord or String to covert to American if needed.
-   * @return Either the input or an Americanized version of it.
-   */
-  public HasWord apply(HasWord w) {
-    String str = w.word();
-    String outStr = americanize(str, capitalizeTimex);
-    if (!outStr.equals(str)) {
-      w.setWord(outStr);
-    }
-    return w;
-  }
-
-
-  /**
-   * Convert the spelling of a word from British to American English.
-   * This is deterministic spelling conversion, and so cannot deal with
-   * certain cases involving complex ambiguities, but it can do most of the
-   * simple cases of English to American conversion. Month and day names will
-   * be capitalized unless you have changed the default setting.
-   *
-   * @param str The String to be Americanized
-   * @return The American spelling of the word.
-   */
-  public static String americanize(String str) {
-    return americanize(str, DEFAULT_CAPITALIZE_TIMEX);
-  }
-
-
-  /**
-   * Convert the spelling of a word from British to American English.
-   * This is deterministic spelling conversion, and so cannot deal with
-   * certain cases involving complex ambiguities, but it can do most of the
-   * simple cases of English to American conversion.
-   *
-   * @param str The String to be Americanized
-   * @param capitalizeTimex Whether to capitalize time expressions like month names in return value
-   * @return The American spelling of the word.
-   */
-  public static String americanize(String str, boolean capitalizeTimex) {
-    // System.err.println("str is |" + str + "|");
-    // System.err.println("timexMapping.contains is " +
-    //            timexMapping.containsKey(str));
-    if (capitalizeTimex && timexMapping.containsKey(str)) {
-      return timexMapping.get(str);
-    } else if (mapping.containsKey(str)) {
-      return mapping.get(str);
-    } else {
-      for (int i = 0; i < pats.length; i++) {
-        Pattern ex = excepts[i];
-        if (ex != null) {
-          Matcher me = ex.matcher(str);
-          if (me.find()) {
-            continue;
-          }
-        }
-        Matcher m = pats[i].matcher(str);
-        if (m.find()) {
-          // System.err.println("Replacing " + word + " with " +
-          //             pats[i].matcher(word).replaceAll(reps[i]));
-          return m.replaceAll(reps[i]);
-        }
-      }
-      return str;
-    }
-  }
-
-
-  private static final Pattern[] pats = { Pattern.compile("haem(at)?o"),
-                            Pattern.compile("aemia$"),
-                            Pattern.compile("([lL]euk)aem"),
-                            Pattern.compile("programme(s?)$"),
-                            Pattern.compile("^([a-z]{3,})our(s?)$") };
-
-  private static final String[] OUR_EXCEPTIONS = {
-    "abatjour", "beflour", "bonjour",
-    "calambour", "carrefour", "cornflour", "contour",
-    "de[tv]our", "dortour", "dyvour", "downpour",
-    "giaour", "glamour", "holour", "inpour", "outpour",
-    "pandour", "paramour", "pompadour", "recontour", "repour", "ryeflour",
-    "sompnour",
-    "tambour", "troubadour", "tregetour", "velour"
-  };
-
-  private static final Pattern[] excepts = {
-    null, null, null, null,
-    Pattern.compile(StringUtils.join(OUR_EXCEPTIONS, "|"))
-  };
-
-  private static final String[] reps = {
-    "hem$1o", "emia", "$1em", "program$1", "$1or$2"
-  };
-
-
-  /** Do some normalization and British -> American mapping!
-   *  Notes:
-   *  <ul>
-   *  <li>in PTB, you get dialogue not dialog, 17 times to 1.
-   *  <li>We don't in general deal with capitalized words, only a couple of cases like Labour, Defence for the department.
-   *  </ul>
-   */
-  private static final String[] converters = {"anaesthetic", "analogue", "analogues", "analyse", "analysed", "analysing", /* not analyses NNS */
-                                                          "armoured", "cancelled", "cancelling", "candour", "capitalise", "capitalised", "capitalisation", "centre", "chimaeric", "clamour", "coloured", "colouring", "colourful", "defence", "Defence", /* "dialogue", "dialogues", */ "discolour", "discolours", "discoloured", "discolouring", "encyclopaedia", "endeavour", "endeavours", "endeavoured", "endeavouring", "fervour", "favour", "favours", "favoured", "favouring", "favourite", "favourites", "fibre", "fibres", "finalise", "finalised", "finalising", "flavour", "flavours", "flavoured", "flavouring", "glamour", "grey", "harbour", "harbours", "homologue", "homologues", "honour", "honours", "honoured", "honouring", "honourable", "humour", "humours", "humoured", "humouring", "kerb", "labelled", "labelling", "labour", "Labour", "labours", "laboured", "labouring", "leant", "learnt", "localise", "localised", "manoeuvre", "manoeuvres", "maximise", "maximised", "maximising", "meagre", "minimise", "minimised", "minimising", "modernise", "modernised", "modernising", "misdemeanour", "misdemeanours", "neighbour", "neighbours", "neighbourhood", "neighbourhoods", "oestrogen", "oestrogens", "organisation", "organisations", "penalise", "penalised", "popularise", "popularised", "popularises", "popularising", "practise", "practised", "pressurise", "pressurised", "pressurises", "pressurising", "realise", "realised", "realising", "realises", "recognise", "recognised", "recognising", "recognises", "rumoured", "rumouring", "savour", "savours", "savoured", "savouring", "splendour", "splendours", "theatre", "theatres", "titre", "titres", "travelled", "travelling" };
-
-  private static final String[] converted = {"anesthetic", "analog", "analogs", "analyze", "analyzed", "analyzing", "armored", "canceled", "canceling", "candor", "capitalize", "capitalized", "capitalization", "center", "chimeric", "clamor", "colored", "coloring", "colorful", "defense", "Defense", /* "dialog", "dialogs", */ "discolor", "discolors", "discolored", "discoloring", "encyclopedia", "endeavor", "endeavors", "endeavored", "endeavoring", "fervor", "favor", "favors", "favored", "favoring", "favorite", "favorites", "fiber", "fibers", "finalize", "finalized", "finalizing", "flavor", "flavors", "flavored", "flavoring", "glamour", "gray", "harbor", "harbors", "homolog", "homologs", "honor", "honors", "honored", "honoring", "honorable", "humor", "humors", "humored", "humoring", "curb", "labeled", "labeling", "labor", "Labor", "labors", "labored", "laboring", "leaned", "learned", "localize", "localized", "maneuver", "maneuvers", "maximize", "maximized", "maximizing", "meager", "minimize", "minimized", "minimizing", "modernize", "modernized", "modernizing", "misdemeanor", "misdemeanors", "neighbor", "neighbors", "neighborhood", "neighborhoods", "estrogen", "estrogens", "organization", "organizations", "penalize", "penalized", "popularize", "popularized", "popularizes", "popularizing", "practice", "practiced", "pressurize", "pressurized", "pressurizes", "pressurizing", "realize", "realized", "realizing", "realizes", "recognize", "recognized", "recognizing", "recognizes", "rumored", "rumoring", "savor", "savors", "savored", "savoring", "splendor", "splendors", "theater", "theaters", "titer", "titers", "traveled", "traveling" };
-
-  private static final String[] timexConverters = {"january", "february", /* not "march" ! */
-                                                               "april", /* Not "may"! */ "june", "july", "august", "september", "october", "november", "december", "monday", "tuesday", "wednesday", "thursday", "friday", "saturday", "sunday"};
-
-  private static final String[] timexConverted = {"January", "February", /* not "march" ! */
-                                                              "April", /* Not "may"! */ "June", "July", "August", "September", "October", "November", "December", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"};
-
-  private static final HashMap<String,String> mapping = new HashMap<String,String>();
-
-  private static final HashMap<String,String> timexMapping = new HashMap<String,String>();
-
-
-  // static initialization block
-  static {
-    if (converters.length != converted.length || timexConverters.length != timexConverted.length || pats.length != reps.length || pats.length != excepts.length) {
-      throw new RuntimeException("Americanize: Bad initialization data");
-    }
-    for (int i = 0; i < converters.length; i++) {
-      mapping.put(converters[i], converted[i]);
-    }
-    for (int i = 0; i < timexConverters.length; i++) {
-      timexMapping.put(timexConverters[i], timexConverted[i]);
-    }
-  }
-
-
-  @Override
-  public String toString() {
-    return ("Americanize[capitalizeTimex is " + DEFAULT_CAPITALIZE_TIMEX +
-            "; " + "mapping has " + mapping.size() + " mappings; " +
-            "timexMapping has " + timexMapping.size() + " mappings]");
-  }
-
-
-  /**
-   * Americanize and print the command line arguments.
-   * This main method is just for debugging.
-   *
-   * @param args Command line arguments: a list of words
-   */
-  public static void main(String[] args) throws IOException {
-    System.err.println(new Americanize());
-    System.err.println();
-
-    if (args.length == 0) { // stdin -> stdout:
-      BufferedReader buf = new BufferedReader(new InputStreamReader(System.in));
-      String line;
-      while((line = buf.readLine()) != null) {
-        for(String w : line.split("\\s+")) {
-          System.out.print(Americanize.americanize(w)+" ");
-        }
-        System.out.println();
-      }
-      buf.close();
-    }
-
-    for (String arg : args) {
-      System.out.print(arg);
-      System.out.print(" --> ");
-      System.out.println(americanize(arg));
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/CoreLabelTokenFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/CoreLabelTokenFactory.java
deleted file mode 100644
index 4e172f5..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/CoreLabelTokenFactory.java
+++ /dev/null
@@ -1,99 +0,0 @@
-package edu.stanford.nlp.process;
-
-import edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation;
-import edu.stanford.nlp.ling.CoreLabel;
-
-/**
- * Constructs {@link CoreLabel}s from Strings optionally with
- * beginning and ending (character after the end) offset positions in
- * an original text.  The makeToken method will put the token in the
- * OriginalTextAnnotation AND TextAnnotation keys (2 places!),
- * and optionally records
- * begin and position after offsets in BeginPositionAnnotation and
- * EndPositionAnnotation.  If the tokens are built in PTBTokenizer with
- * an "invertible" tokenizer, you will also get a BeforeAnnotation and for
- * the last token an AfterAnnotation.You can also get an empty CoreLabel token
- *
- * @author Anna Rafferty
- * @author Sonal Gupta (now implements CoreTokenFactory, you can make tokens using many options)
- */
-public class CoreLabelTokenFactory implements CoreTokenFactory<CoreLabel>, LexedTokenFactory<CoreLabel> {
-
-  final boolean addIndices;
-
-  /**
-   * Constructor for a new token factory which will add in the word, the
-   * "current" annotation, and the begin/end position annotations.
-   */
-  public CoreLabelTokenFactory() {
-    this(true);
-  }
-
-  /**
-   * Constructor that allows one to choose if index annotation
-   * indicating begin/end position will be included in the label.
-   *
-   * @param addIndices if true, begin and end position annotations will be included (this is the default)
-   */
-  public CoreLabelTokenFactory(boolean addIndices) {
-    super();
-    this.addIndices = addIndices;
-  }
-
-  /**
-   * Constructs a CoreLabel as a String with a corresponding BEGIN and END position.
-   * (Does not take substring).
-   */
-  public CoreLabel makeToken(String str, int begin, int length) {
-    CoreLabel cl;
-    if (addIndices) {
-      cl = new CoreLabel(8); // Save a reallocation, as there will be at least 5 keys
-    } else {
-      cl = new CoreLabel();
-    }
-    cl.setWord(str);
-    cl.setOriginalText(str);
-    if (addIndices) {
-      cl.set(CharacterOffsetBeginAnnotation.class, begin);
-      cl.set(CharacterOffsetEndAnnotation.class, begin+length);
-    }
-    return cl;
-  }
-
-  /**
-   * Constructs a CoreLabel as a String with a corresponding BEGIN and END position, when the original OriginalTextAnnotation is different from TextAnnotation
-   * (Does not take substring).
-   */
-  public CoreLabel makeToken(String str, String original, int begin, int length) {
-    CoreLabel cl;
-    if (addIndices) {
-      cl = new CoreLabel(8); // Save a reallocation, as there will be at least 5 keys
-    } else {
-      cl = new CoreLabel();
-    }
-    cl.setWord(str);
-    cl.setOriginalText(original);
-    if(addIndices) {
-      cl.set(CharacterOffsetBeginAnnotation.class, begin);
-      cl.set(CharacterOffsetEndAnnotation.class, begin+length);
-    }
-    return cl;
-  }
-
-  public CoreLabel makeToken() {
-    CoreLabel l = new CoreLabel();
-    return l;
-  }
-
-  public CoreLabel makeToken(String[] keys, String[] values) {
-    CoreLabel l = new CoreLabel(keys, values);
-    return l;
-  }
-
-  public CoreLabel makeToken(CoreLabel labelToBeCopied) {
-    CoreLabel l = new CoreLabel(labelToBeCopied);
-    return l;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/CoreTokenFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/CoreTokenFactory.java
deleted file mode 100644
index f104eee..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/CoreTokenFactory.java
+++ /dev/null
@@ -1,21 +0,0 @@
-package edu.stanford.nlp.process;
-
-import edu.stanford.nlp.util.CoreMap;
-
-/**
- * To make tokens like CoreMap or CoreLabel. An alternative to LexedTokenFactory
- * since this one has option to make tokens differently, which would have been
- * an overhead for LexedTokenFactory
- * 
- * @author Sonal Gupta
- * 
- * @param <IN>
- */
-public interface CoreTokenFactory<IN extends CoreMap> {
-  public IN makeToken();
-
-  public IN makeToken(String[] keys, String[] values);
-
-  public IN makeToken(IN tokenToBeCopied);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/LexedTokenFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/LexedTokenFactory.java
deleted file mode 100644
index 982e13d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/LexedTokenFactory.java
+++ /dev/null
@@ -1,23 +0,0 @@
-package edu.stanford.nlp.process;
-
-/**
- * Constructs a token (of arbitrary type) from a String and its position
- * in the underlying text.  This is used to create tokens in JFlex lexers
- * such as PTBTokenizer.
- */
-public interface LexedTokenFactory<T> {
-
-  /**
-   * Constructs a token (of arbitrary type) from a String and its position
-   * in the underlying text.
-   *
-   * @param str The String extracted by the lexer.
-   * @param begin The offset in the document of the first character
-   *  in this string.
-   * @param length The number of characters the string takes up in
-   *  the document.
-   * @return The token of type T.
-   */
-  public T makeToken(String str, int begin, int length);
-  
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/ListProcessor.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/ListProcessor.java
deleted file mode 100644
index faa61c4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/ListProcessor.java
+++ /dev/null
@@ -1,23 +0,0 @@
-package edu.stanford.nlp.process;
-
-
-import java.util.List;
-
-/**
- * An interface for things that operate on a List.  This is seen as
- * a lighter weight and more general interface than the Processor interface
- * for documents.  IN and OUT are the type of the objects in the List.
- * The <code>process</code> method acts on a List of IN and produces a List
- * of OUT.
- *
- * @author Teg Grenager
- */
-public interface ListProcessor<IN,OUT> {
-
-  /**
-   * Take a List (including a Sentence) of input, and return a
-   * List that has been processed in some way.
-   */
-  public List<OUT> process(List<? extends IN> list);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/Morpha.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/Morpha.java
deleted file mode 100644
index e45483b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/Morpha.java
+++ /dev/null
@@ -1,58222 +0,0 @@
-/* The following code was generated by JFlex 1.4.3 on 9/1/11 5:38 PM */
-
-package edu.stanford.nlp.process;
-
-import java.io.BufferedReader;
-import java.io.FileReader;
-import java.io.IOException;
-import java.util.HashSet;
-import java.util.Set;
-import java.util.StringTokenizer;
-import java.util.logging.Logger;
-
-
-
-/**
- * This class is a scanner generated by 
- * <a href="http://www.jflex.de/">JFlex</a> 1.4.3
- * on 9/1/11 5:38 PM from the specification file
- * <tt>Morpha.flex</tt>
- */
-class Morpha {
-
-  /** This character denotes the end of file */
-  public static final int YYEOF = -1;
-
-  /** initial size of the lookahead buffer */
-  private static final int ZZ_BUFFERSIZE = 16384;
-
-  /** lexical states */
-  public static final int scan = 8;
-  public static final int YYINITIAL = 0;
-  public static final int any = 6;
-  public static final int noun = 4;
-  public static final int verb = 2;
-
-  /**
-   * ZZ_LEXSTATE[l] is the state in the DFA for the lexical state l
-   * ZZ_LEXSTATE[l+1] is the state in the DFA for the lexical state l
-   *                  at the beginning of a line
-   * l is of the form l = 2*k, k a non negative integer
-   */
-  private static final int ZZ_LEXSTATE[] = { 
-     0,  0,  1,  1,  2,  2,  3,  3,  4, 4
-  };
-
-  /** 
-   * Translates characters to character classes
-   */
-  private static final String ZZ_CMAP_PACKED = 
-    "\11\0\1\35\1\35\3\35\22\0\1\35\3\0\1\41\2\0\1\37"+
-    "\3\0\1\1\1\0\1\34\1\40\1\0\12\1\7\0\1\43\1\5"+
-    "\1\6\1\42\1\30\1\10\1\11\1\12\1\31\1\13\1\14\1\15"+
-    "\1\16\1\17\1\32\1\44\1\21\1\22\1\23\1\24\1\2\1\25"+
-    "\1\26\1\27\1\3\1\4\4\0\1\33\1\0\1\36\1\5\1\6"+
-    "\1\7\1\30\1\10\1\11\1\12\1\31\1\13\1\14\1\15\1\16"+
-    "\1\17\1\32\1\20\1\21\1\22\1\23\1\24\1\2\1\25\1\26"+
-    "\1\27\1\3\1\4\12\0\1\35\u1fa2\0\2\35\udfd6\0";
-
-  /** 
-   * Translates characters to character classes
-   */
-  private static final char [] ZZ_CMAP = zzUnpackCMap(ZZ_CMAP_PACKED);
-
-  /** 
-   * Translates DFA states to action switch labels.
-   */
-  private static final int [] ZZ_ACTION = zzUnpackAction();
-
-  private static final String ZZ_ACTION_PACKED_0 =
-    "\10\0\33\1\1\2\1\3\1\4\34\1\1\3\34\1"+
-    "\1\3\2\1\16\2\2\0\1\3\13\1\1\5\21\1"+
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-    "\1\3\3\1\1\52\1\101\3\1\1\371\1\5\1\12"+
-    "\2\1\1\372\1\213\3\1\1\12\4\1\2\0\11\1"+
-    "\1\12\1\373\2\1\1\6\2\1\1\374\1\1\1\12"+
-    "\6\1\1\5\2\1\1\0\2\1\1\12\4\1\1\375"+
-    "\1\1\1\50\3\1\1\6\4\1\1\12\5\1\1\5"+
-    "\1\12\1\1\1\5\11\1\1\5\3\1\1\3\1\1"+
-    "\1\3\15\1\1\3\10\1\1\5\6\1\1\177\1\6"+
-    "\7\1\1\50\12\1\1\53\6\1\1\101\1\1\1\5"+
-    "\3\1\1\12\3\1\1\50\1\365\1\0\1\53\12\1"+
-    "\1\6\6\1\1\12\16\1\1\5\1\1\1\12\14\1"+
-    "\1\376\1\12\1\1\2\12\5\1\1\377\2\1\1\12"+
-    "\14\1\1\12\12\1\2\12\1\1\1\12\12\1\1\3"+
-    "\23\1\1\364\1\71\5\1\1\5\5\1\1\12\2\1"+
-    "\1\322\4\1\1\323\1\1\2\323\1\324\4\1\1\5"+
-    "\1\247\1\325\2\1\1\326\2\1\1\12\3\1\1\12"+
-    "\2\1\1\327\4\1\1\211\14\1\1\5\21\1\1\5"+
-    "\1\1\1\6\4\1\1\77\1\1\1\107\4\1\1\5"+
-    "\2\1\1\6\11\1\1\12\1\122\2\1\1\12\5\1"+
-    "\1\330\1\331\1\1\1\50\2\1\1\332\1\333\1\1"+
-    "\1\334\2\1\1\323\1\1\1\365\5\1\1\12\10\1"+
-    "\1\247\2\1\1\5\6\1\1\12\2\1\1\12\1\1"+
-    "\1\12\1\1\1\12\1\335\1\1\2\12\13\1\1\3"+
-    "\1\12\6\1\2\5\7\1\1\12\12\1\1\336\3\1"+
-    "\1\5\7\1\1\6\14\1\1\366\1\12\2\1\1\337"+
-    "\1\1\1\6\3\1\1\12\3\1\1\12\3\1\1\5"+
-    "\3\1\3\5\1\340\7\1\1\5\1\3\4\1\1\5"+
-    "\1\341\1\1\1\367\1\63\1\53\1\6\3\1\1\342"+
-    "\6\1\1\12\12\1\1\12\1\1\1\343\3\1\1\53"+
-    "\1\12\1\1\1\344\2\1\1\5\3\1\1\12\1\1"+
-    "\1\223\4\1\1\323\2\1\1\370\5\1\1\12\1\1"+
-    "\1\345\1\5\1\1\1\12\1\1\1\5\3\1\1\12"+
-    "\13\1\1\5\1\12\2\1\1\3\1\346\16\1\1\3"+
-    "\4\1\1\52\1\101\1\52\1\53\3\1\1\371\1\5"+
-    "\3\1\1\12\1\1\1\55\1\1\1\372\2\1\1\12"+
-    "\1\213\1\12\3\1\1\53\3\1\1\12\1\55\4\1"+
-    "\1\211\1\16\10\1\1\12\1\1\1\12\1\373\13\1"+
-    "\1\347\1\6\2\1\1\374\1\1\1\12\6\1\1\5"+
-    "\6\1\1\12\10\1\1\50\3\1\1\6\6\1\2\12"+
-    "\7\1\1\5\1\12\1\1\1\166\3\1\1\53\2\1"+
-    "\1\12\1\1\1\5\12\1\1\237\1\211\3\1\1\63"+
-    "\1\1\1\5\4\1\1\12\1\3\1\1\1\3\1\1"+
-    "\1\12\16\1\1\3\11\1\1\5\1\1\1\350\7\1"+
-    "\1\351\1\1\1\177\1\6\5\1\1\12\17\1\1\50"+
-    "\1\352\1\12\6\1\1\5\4\1\1\12\1\1\1\53"+
-    "\1\50\1\247\3\1\1\12\1\6\1\1\1\135\5\1"+
-    "\1\12\1\353\5\1\1\354\1\1\1\121\1\101\2\1"+
-    "\1\355\2\1\1\5\11\1\1\12\3\1\1\5\2\1"+
-    "\1\50\1\356\1\357\1\1\1\365\1\5\1\53\16\1"+
-    "\1\12\2\1\1\6\2\1\1\12\15\1\2\165\1\1"+
-    "\1\12\1\360\3\1\1\3\12\1\1\361\5\1\1\247"+
-    "\11\1\1\12\4\1\1\12\1\5\1\1\1\6\1\12"+
-    "\3\1\1\53\5\1\1\12\11\1\1\12\3\1\1\12"+
-    "\1\1\1\165\1\1\1\376\1\12\1\1\2\12\2\1"+
-    "\1\12\12\1\1\50\1\1\1\377\3\1\1\17\5\1"+
-    "\1\5\1\362\1\1\1\37\1\1\1\12\15\1\1\12"+
-    "\6\1\1\50\1\1\1\12\22\1\1\5\1\12\2\1"+
-    "\1\363\17\1\2\12\2\1\1\12\14\1\1\3\1\1"+
-    "\1\u0100\1\u0101\1\u0102\1\u0103\1\15\1\61\1\0\1\u0104"+
-    "\1\0\1\u0105\1\u0106\1\u0107\7\1\1\63\1\74\1\211"+
-    "\1\1\1\u0108\1\u0109\2\1\1\u010a\12\1\1\u010b\1\u010c"+
-    "\4\1\1\3\1\u0108\1\0\1\u010d\1\1\1\20\1\165"+
-    "\1\1\1\212\3\1\1\u010e\1\u010f\3\1\1\u0110\12\1"+
-    "\1\6\5\1\1\u0111\2\1\1\344\1\3\1\u0108\1\u0112"+
-    "\3\1\1\0\6\1\1\165\5\1\1\6\1\1\1\u0113"+
-    "\5\1\1\u0114\3\1\1\5\1\1\1\247\1\33\2\1"+
-    "\1\u0115\6\1\2\0\2\1\1\u0116\1\u0117\1\1\1\u0118"+
-    "\1\u0119\4\1\1\u011a\1\0\2\1\1\u011b\1\u011c\1\u011d"+
-    "\30\1\1\41\1\u011e\1\216\1\53\1\1\1\12\1\1"+
-    "\1\5\1\1\1\3\1\0\1\1\1\5\3\1\1\u011f"+
-    "\2\1\1\0\5\1\1\5\1\u0120\1\1\1\12\1\1"+
-    "\1\0\1\1\1\0\4\1\1\5\5\1\1\50\3\1"+
-    "\1\u0121\5\1\2\12\2\1\1\3\1\0\3\1\1\12"+
-    "\2\1\1\50\2\1\1\u0122\3\1\1\5\1\1\1\3"+
-    "\11\1\1\0\4\1\1\5\2\0\6\1\1\3\2\1"+
-    "\1\3\1\1\1\56\4\1\2\0\3\1\1\5\1\1"+
-    "\1\12\1\1\1\6\7\1\1\u0123\1\0\1\1\1\52"+
-    "\1\5\1\55\1\u0124\3\1\1\5\1\u0125\1\u0126\4\1"+
-    "\1\5\5\1\1\6\6\1\1\12\2\0\1\12\2\1"+
-    "\1\u0127\2\1\1\u0128\2\1\1\0\3\1\1\5\5\1"+
-    "\1\5\3\1\1\5\1\12\10\1\1\u0129\4\1\1\12"+
-    "\1\u012a\1\5\1\0\7\1\1\12\10\1\1\12\2\1"+
-    "\1\5\1\1\1\u012b\1\3\1\1\1\5\3\1\1\12"+
-    "\5\1\1\12\2\1\1\u012c\10\1\1\56\1\1\1\5"+
-    "\6\1\1\5\5\1\1\0\2\1\1\12\4\1\1\12"+
-    "\2\1\1\12\1\63\1\74\1\211\1\1\1\u0108\1\u0109"+
-    "\2\1\1\5\2\1\1\u010a\20\1\1\12\2\1\1\3"+
-    "\1\12\1\1\1\u010b\2\1\1\u010c\3\1\1\5\6\1"+
-    "\1\3\1\u0108\1\1\1\u010d\2\1\1\20\1\165\1\12"+
-    "\1\u011f\1\1\1\212\11\1\1\u010e\1\u010f\1\1\1\5"+
-    "\1\12\2\1\1\u0120\1\1\1\u0110\2\1\1\12\12\1"+
-    "\1\5\5\1\1\12\1\344\3\1\1\50\3\1\1\u0121"+
-    "\7\1\1\5\6\1\2\12\5\1\1\3\2\1\1\6"+
-    "\1\1\1\12\4\1\1\50\5\1\1\u0111\1\12\1\53"+
-    "\1\1\1\344\1\1\1\u0122\1\1\1\3\1\u0108\3\1"+
-    "\1\5\1\1\1\3\1\166\3\1\1\165\6\1\1\53"+
-    "\11\1\1\5\7\1\1\3\1\1\1\u0108\2\1\1\12"+
-    "\1\1\1\3\3\1\1\56\10\1\1\5\2\1\1\12"+
-    "\1\1\1\6\7\1\1\165\10\1\1\u0123\2\1\1\52"+
-    "\1\1\1\5\1\55\1\u0124\3\1\1\5\1\12\1\u0125"+
-    "\1\1\1\u0126\5\1\1\12\1\1\1\5\4\1\1\6"+
-    "\2\1\1\6\1\1\1\u0113\1\1\1\12\10\1\1\12"+
-    "\1\1\1\12\3\1\1\u0127\2\1\1\u0128\10\1\1\5"+
-    "\4\1\1\u0114\2\1\1\5\6\1\1\12\2\1\1\53"+
-    "\1\5\1\12\7\1\1\12\1\247\3\1\1\33\4\1"+
-    "\1\u0129\1\1\1\u0115\7\1\2\12\1\1\1\u012a\1\5"+
-    "\6\1\1\12\2\1\1\12\1\u0116\1\1\1\u0117\2\1"+
-    "\1\12\1\1\1\u0118\1\u0119\2\12\6\1\1\u011a\6\1"+
-    "\1\u011b\2\1\1\12\1\1\1\5\1\u011c\3\1\1\333"+
-    "\1\u011d\1\5\3\1\1\u012b\1\3\2\1\1\5\6\1"+
-    "\1\12\10\1\1\12\6\1\1\u012c\1\365\4\1\1\12"+
-    "\6\1\1\12\10\1\1\12\1\41\1\1\1\12\2\1"+
-    "\1\u011e\2\1\1\56\1\216\3\1\1\5\7\1\1\5"+
-    "\1\1\1\6\7\1\1\u012d\1\0\1\u012e\1\u012f\3\1"+
-    "\1\u0130\1\17\1\1\1\u0131\1\u0132\1\0\1\3\1\0"+
-    "\1\1\1\u0133\1\1\1\u0134\1\1\1\u0135\1\u0133\1\5"+
-    "\7\1\1\0\1\3\1\0\1\1\1\u0136\1\u0137\2\1"+
-    "\1\5\1\u0138\2\1\1\5\1\1\1\344\1\247\1\0"+
-    "\1\1\1\u0139\1\1\1\u013a\1\0\1\1\1\u0108\1\1"+
-    "\1\117\4\1\1\12\1\1\2\0\1\3\1\50\1\12"+
-    "\1\55\1\0\1\57\1\52\1\12\1\325\1\1\1\u013b"+
-    "\1\1\1\0\1\u013c\1\0\2\1\1\201\5\1\1\12"+
-    "\1\u013d\1\270\1\5\4\1\1\u013e\2\0\2\1\1\55"+
-    "\1\1\1\u013f\4\1\1\12\1\0\4\1\1\0\1\1"+
-    "\1\3\1\0\2\1\1\12\1\0\1\1\1\0\2\1"+
-    "\2\0\1\12\6\1\1\53\1\u0140\1\0\1\3\2\1"+
-    "\1\273\1\1\1\u0141\1\56\2\1\1\u0142\2\1\1\50"+
-    "\1\u0143\1\5\2\1\2\0\1\1\1\0\1\3\3\1"+
-    "\1\5\1\3\3\1\1\6\4\1\1\3\4\1\1\55"+
-    "\1\0\6\1\1\12\5\1\1\5\1\1\1\0\13\1"+
-    "\1\52\1\u0144\1\1\1\5\1\6\1\1\1\u0145\2\1"+
-    "\1\0\5\1\1\12\1\1\1\53\1\u0130\1\17\2\1"+
-    "\1\u0131\1\1\1\u0132\1\3\1\50\1\12\1\3\1\1"+
-    "\1\55\1\u0133\1\1\1\165\1\57\1\52\1\12\1\u0134"+
-    "\1\325\1\1\1\u0135\1\u0133\2\1\1\u013b\1\1\1\u013c"+
-    "\1\5\2\1\1\201\1\1\1\53\3\1\1\50\3\1"+
-    "\1\12\1\u013d\1\270\1\5\6\1\1\u013e\1\12\1\53"+
-    "\3\1\1\55\1\1\1\u013f\5\1\1\3\3\1\1\12"+
-    "\1\1\1\12\14\1\1\3\3\1\1\12\1\53\2\1"+
-    "\1\u0136\1\u0137\1\16\1\1\1\12\1\1\1\12\4\1"+
-    "\1\5\1\1\1\53\3\1\1\53\1\u0140\1\53\1\6"+
-    "\1\1\1\3\3\1\1\273\1\1\1\u0141\1\56\2\1"+
-    "\1\u0142\2\1\1\u0138\1\1\1\50\1\u0143\1\5\1\1"+
-    "\1\12\11\1\1\3\4\1\1\5\5\1\1\6\3\1"+
-    "\1\65\2\1\1\3\1\344\4\1\1\55\7\1\1\u0139"+
-    "\3\1\1\u013a\2\1\1\12\7\1\1\5\1\1\1\53"+
-    "\3\1\1\u0108\15\1\1\52\1\117\2\1\1\u0144\3\1"+
-    "\1\5\1\6\1\1\1\u0145\4\1\1\u0146\1\u012e\1\1"+
-    "\1\u0147\2\0\1\u0148\1\1\1\u0149\4\1\1\u014a\2\0"+
-    "\1\u014b\1\5\1\u0138\1\u014c\1\u014d\2\0\3\1\3\0"+
-    "\1\53\1\0\1\u014e\2\0\6\1\1\u014f\3\1\2\0"+
-    "\1\1\1\56\1\0\1\1\3\0\1\1\1\u0150\1\0"+
-    "\1\1\2\0\1\5\1\u0151\3\1\2\0\1\1\1\u0152"+
-    "\1\1\1\5\1\1\1\u0153\1\53\3\0\1\u0154\1\1"+
-    "\1\12\1\0\1\1\1\0\1\1\1\12\1\3\1\0"+
-    "\1\1\1\u0155\7\1\1\0\1\1\1\50\2\1\1\56"+
-    "\1\1\1\u0123\3\1\1\0\5\1\1\u0147\1\247\1\53"+
-    "\1\1\1\16\1\u0149\1\1\1\u014e\11\1\1\u014f\5\1"+
-    "\1\325\1\53\1\56\7\1\1\u014b\1\1\1\5\1\u0151"+
-    "\3\1\1\5\1\1\1\12\2\1\1\u0152\2\1\1\5"+
-    "\1\1\1\u0138\1\u0153\1\53\1\1\1\12\2\1\1\u0154"+
-    "\1\1\1\12\1\1\1\u014c\1\53\4\1\1\12\1\3"+
-    "\3\1\1\u0155\1\u014d\14\1\1\50\2\1\1\56\2\1"+
-    "\1\u0123\1\1\1\16\1\1\1\u0123\4\1\1\u0146\2\0"+
-    "\1\1\1\u0156\1\0\1\165\1\214\1\1\6\0\5\1"+
-    "\1\u0157\1\56\2\0\1\u0158\1\3\1\0\1\12\1\0"+
-    "\1\u0159\2\0\1\1\1\u015a\1\0\4\1\2\0\1\12"+
-    "\1\1\1\56\2\0\1\u015b\1\12\1\1\1\0\1\1"+
-    "\2\0\2\1\1\u015c\1\1\1\0\4\1\1\0\1\1"+
-    "\1\211\10\1\1\u0157\1\1\1\56\1\u0158\1\3\1\12"+
-    "\6\1\1\u0155\1\12\3\1\1\56\1\12\1\1\1\12"+
-    "\5\1\1\u015c\1\1\1\101\5\1\1\12\1\u015d\1\0"+
-    "\1\u015e\3\0\1\u015f\2\0\1\1\1\12\1\0\1\u0160"+
-    "\1\1\3\0\1\u0161\1\u0162\2\1\1\0\1\u0163\1\1"+
-    "\2\0\1\1\1\12\1\0\1\213\1\0\1\u0164\1\12"+
-    "\2\1\1\u0165\1\1\1\u0166\1\1\1\0\1\53\3\1"+
-    "\1\12\1\u015e\1\1\1\u0161\2\1\1\u0163\2\1\1\12"+
-    "\1\213\1\12\3\1\1\u0166\2\1\1\u0167\2\0\1\u0168"+
-    "\2\0\1\1\3\0\2\1\3\0\1\12\1\0\1\3"+
-    "\1\0\3\1\1\55\1\0\4\1\1\12\1\50\1\3"+
-    "\3\1\1\55\2\0\1\u0169\1\u016a\3\0\1\1\1\0"+
-    "\1\u016b\1\u016c\1\50\3\0\1\1\1\u016d\1\1\1\53"+
-    "\1\1\1\50\2\1\1\344\1\325\3\0\1\u016e\1\0"+
-    "\1\u016f\1\277\1\0\1\55\1\u016e\1\u016f\1\1\2\0"+
-    "\1\u0170\1\0\1\1\1\u0171\2\0\1\u0172\2\0\1\u0173";
-
-  private static int [] zzUnpackAction() {
-    int [] result = new int[13367];
-    int offset = 0;
-    offset = zzUnpackAction(ZZ_ACTION_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackAction(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-
-  /** 
-   * Translates a state to a row index in the transition table
-   */
-  private static final int [] ZZ_ROWMAP = zzUnpackRowMap();
-
-  private static final String ZZ_ROWMAP_PACKED_0 =
-    "\0\0\0\45\0\112\0\157\0\224\0\271\0\336\0\u0103"+
-    "\0\u0128\0\u014d\0\u0172\0\u0197\0\u01bc\0\u01e1\0\u0206\0\u022b"+
-    "\0\u0250\0\u0275\0\u029a\0\u02bf\0\u02e4\0\u0309\0\u032e\0\u0353"+
-    "\0\u0378\0\u039d\0\u03c2\0\u03e7\0\u040c\0\u0431\0\u0456\0\u047b"+
-    "\0\u04a0\0\u04c5\0\u04ea\0\u050f\0\u0534\0\0\0\u0559\0\u057e"+
-    "\0\u05a3\0\u05c8\0\u05ed\0\u0612\0\u0637\0\u065c\0\u0681\0\u06a6"+
-    "\0\u06cb\0\u06f0\0\u0715\0\u073a\0\u075f\0\u0784\0\u07a9\0\u07ce"+
-    "\0\u07f3\0\u0818\0\u083d\0\u0862\0\u0887\0\u08ac\0\u08d1\0\u08f6"+
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-    "\6\ua806\6\ua82b\6\ua850\2\uf102\6\ua875\1\u5ce6\6\ua89a\6\ua8bf"+
-    "\6\ua8e4\6\ua909\6\ua92e\6\ua953\6\ua978\6\ua99d\6\ua9c2\6\ua9e7"+
-    "\6\uaa0c\6\uaa31\6\uaa56\6\uaa7b\6\uaaa0\6\uaac5\6\uaaea\6\uab0f"+
-    "\6\uab34\6\uab59\6\uab7e\6\uaba3\6\uabc8\6\ua38b\6\uabed\6\uac12"+
-    "\6\uac37\6\uac5c\6\uac81\1\u5993\6\uaca6\6\uaccb\1\u5f11\1\u5ce6"+
-    "\6\uacf0\6\uad15\6\uad3a\6\uad5f\6\uad84\6\uada9\6\uadce\6\uadf3"+
-    "\6\uae18\6\uae3d\6\uae62\2\uee1e\6\uae87\6\uaeac\6\uaed1\1\u5b2a"+
-    "\1\u5d9f\2\uf274\5\ub73c\6\uaef6\6\uaf1b\6\uaf40\6\uaf65\6\uaf8a"+
-    "\1\u5a96\6\uafaf\1\u5a96\6\uafd4\6\uaff9\6\ub01e\1\u5ce6\6\ub043"+
-    "\6\ub068\1\u6876\6\ub08d\6\ub0b2\1\u5d9f\6\ub0d7\6\ub0fc\6\ub121"+
-    "\6\ub146\6\ub16b\6\ub190\6\ub1b5\6\ub1da\6\ub1ff\6\ub224\6\ub249"+
-    "\6\ub26e\6\ub293\6\ub2b8\6\ub2dd\6\ub302\6\ub327\6\ub34c\6\ub371"+
-    "\6\ub396\6\ub3bb\6\ub3e0\6\ub405\6\ub42a\6\ub44f\6\ub474\6\ub499"+
-    "\4\ubc9e\6\ub4be\6\ub4e3\6\ub508\2\uf196\6\ub52d\6\ub552\6\ub577"+
-    "\6\ub59c\1\u6979\6\ub5c1\6\ub5e6\6\ub60b\6\ub630\6\u5379\6\ub655"+
-    "\6\ub67a\1\u6117\6\ub69f\6\ub6c4\6\ub6e9\1\u70fd\6\ub70e\6\ub733"+
-    "\6\ub758\6\ub77d\6\ub7a2\6\ub7c7\6\ub7ec\6\ub811\6\ub836\6\ub85b"+
-    "\6\ub880\6\ub8a5\1\u6186\6\ub8ca\6\ub8ef\6\ub914\1\u60cd\6\ub939"+
-    "\6\ub95e\6\ub983\6\ub9a8\6\ub9cd\6\ub9f2\6\uba17\6\uba3c\6\uba61"+
-    "\6\uba86\6\ubaab\6\ubad0\6\ubaf5\6\ubb1a\1\u6117\4\u8f86\6\ubb3f"+
-    "\1\u59dd\6\ubb64\6\ubb89\6\ubbae\6\ubbd3\1\ufbbd\6\ubbf8\1\u5ce6"+
-    "\6\ubc1d\6\ubc42\6\ubc67\6\ubc8c\6\ubcb1\0\0\6\ubcd6\0\u8e5d"+
-    "\6\ubcfb\6\ubd20\0\0\6\ubd45\0\u8e5d\6\ubd6a\6\ubd8f\6\ubdb4"+
-    "\6\ubdd9\0\0\6\ubdfe\6\ube23\0\u8e5d\6\ube48\0\u8e5d\0\u8e5d"+
-    "\0\u8f85\6\ube6d\6\ube92\6\ubeb7\6\ubedc\6\ubf01\6\ubf26\6\ubf4b"+
-    "\6\ubf70\2\u8917\6\ubf95\0\ue55f\6\ubfba\6\ubfdf\6\uc004\6\uc029"+
-    "\6\uc04e\6\uc073\6\uc098\6\uc0bd\0\u33e3\6\uc0e2\6\uc107\6\uc12c"+
-    "\6\uc151\6\uc176\6\uc19b\6\uc1c0\6\uc1e5\6\uc20a\6\uc22f\6\uc254"+
-    "\6\uc279\6\uc29e\0\0\6\uc2c3\6\uc2e8\6\uc30d\6\uc332\6\uc357"+
-    "\0\u33e3\6\uc37c\6\uc3a1\6\uc3c6\6\uc3eb\6\uc410\6\uc435\0\u32e0"+
-    "\6\uc45a\6\uc47f\6\uc4a4\0\u324c\0\u3149\6\uc4c9\6\uc4ee\6\uc513"+
-    "\0\ue55f\6\uc538\6\uc55d\6\uc582\6\uc5a7\6\uc5cc\6\uc5f1\6\uc616"+
-    "\6\uc63b\6\uc660\6\uc685\0\ue55f\6\uc6aa\6\uc6cf\6\uc6f4\6\uc719"+
-    "\6\uc73e\6\uc763\6\uc788\6\uc7ad\6\u8fbe\4\u3c6b\6\uc7d2\6\uc7f7"+
-    "\6\uc81c\6\uc841\0\ue55f\6\uc866\6\uc88b\6\uc8b0\6\uc8d5\6\uc8fa"+
-    "\6\uc91f\6\uc944\6\uc969\6\uc98e\1\u6117\4\ubc9e\3\u309a\6\uc9b3"+
-    "\1\u6798\1\u6117\6\uc9d8\2\uf024\6\uc9fd\6\uca22\6\uca47\6\uca6c"+
-    "\6\uca91\6\ucab6\6\ucadb\6\ucb00\6\ucb25\1\u5ce6\6\ucb4a\6\ucb6f"+
-    "\6\ucb94\6\ucbb9\6\ucbde\1\u6798\1\u61ab\6\ucc03\6\ucc28\6\ucc4d"+
-    "\6\ucc72\6\ucc97\6\uccbc\6\ucce1\6\ucd06\1\u6117\6\ucd2b\6\ucd50"+
-    "\2\u0341\6\ucd75\6\ucd9a\6\ucdbf\6\ucde4\6\uce09\6\uce2e\6\uce53"+
-    "\6\uce78\1\u59dd\6\uce9d\6\ucec2\6\ucee7\6\ucf0c\1\u6117\1\u5a96"+
-    "\0\u54fc\6\ucf31\6\ucf56\6\ucf7b\6\ucfa0\1\u5993\6\ucfc5\6\ucfea"+
-    "\6\ud00f\1\u6117\1\u5c08\6\ud034\6\ud059\6\ud07e\6\ud0a3\6\ud0c8"+
-    "\6\ud0ed\6\ud112\6\ud137\6\ud15c\1\u5993\1\u6264\6\ud181\6\ud1a6"+
-    "\6\ud1cb\6\ud1f0\6\ud215\6\ud23a\6\ud25f\6\ud284\6\ud2a9\6\ud2ce"+
-    "\6\ud2f3\6\ud318\4\uc016\6\ud33d\6\ud362\6\ud387\6\ud3ac\6\ud3d1"+
-    "\1\u5993\6\ud3f6\6\ud41b\6\ud440\2\uf024\6\ud465\6\ud48a\6\ud4af"+
-    "\6\ud4d4\0\0\6\ud4f9\6\ud51e\6\ud543\0\0\6\ud568\0\0"+
-    "\0\0\6\ud58d\6\ud5b2\6\ud5d7\6\ud5fc\6\ud621\6\ud646\6\ud66b"+
-    "\6\ud690\6\ud6b5\6\ud6da\6\ud6ff\6\ud724\0\ue55f\6\ud749\6\ud76e"+
-    "\6\ud793\0\u33e3\6\ud7b8\6\ud7dd\6\ud802\6\ud827\0\0\6\ud84c"+
-    "\6\ud871\6\ud896\0\0\6\ud8bb\6\ud8e0\6\ud905\6\ud92a\6\ud94f"+
-    "\6\ud974\6\ud999\6\ud9be\6\ud9e3\6\uda08\6\uda2d\6\uda52\0\0"+
-    "\6\uda77\6\uda9c\6\udac1\6\udae6\6\udb0b\6\udb30\6\udb55\6\udb7a"+
-    "\0\u33e3\6\udb9f\6\udbc4\6\udbe9\6\udc0e\6\udc33\6\udc58\6\udc7d"+
-    "\6\udca2\6\udcc7\6\udcec\6\udd11\6\udd36\6\udd5b\6\udd80\6\udda5"+
-    "\6\uddca\6\uddef\2\uf024\6\ude14\6\ude39\1\u5ce6\6\ude5e\6\ude83"+
-    "\6\udea8\6\udecd\6\udef2\6\udf17\6\udf3c\6\udf61\2\uf024\6\udf86"+
-    "\6\udfab\6\udfd0\6\udff5\6\ue01a\6\ue03f\6\ue064\6\ue089\6\ue0ae"+
-    "\6\ue0d3\6\ue0f8\6\ue11d\6\ue142\1\u5ce6\6\ue167\2\uf352\6\ue18c"+
-    "\6\ue1b1\6\ue1d6\6\ue1fb\6\ue220\6\ue245\0\0\6\ue26a\0\u8f60"+
-    "\6\ue28f\6\ue2b4\6\ue2d9\0\0\6\ue2fe\6\ue323\6\ue348\6\ue36d"+
-    "\6\ue392\0\0\6\ue3b7\6\ue3dc\6\ue401\6\ue426\0\u31dd\0\0"+
-    "\6\ue44b\6\ue470\6\ue495\0\u33e3\6\ue4ba\6\ue4df\6\ue504\6\ue529"+
-    "\6\ue54e\6\ue573\6\ue598\6\ue5bd\0\0\6\ue5e2\6\ue607\6\ue62c"+
-    "\0\0\6\ue651\0\u32e0\6\ue676\6\ue69b\1\u6876\6\ue6c0\6\ue6e5"+
-    "\6\ue70a\6\ue72f\1\u623f\6\ue754\0\u55da\6\ue779\6\ue79e\1\u5ce6"+
-    "\6\ue7c3\6\ue7e8\6\ue80d\6\ue832\6\ue857\6\ue87c\6\ue8a1\6\ue8c6"+
-    "\1\u59dd\6\ue8eb\6\ue910\0\0\6\ue935\6\ue95a\0\0\6\ue97f"+
-    "\6\ue9a4\6\ue9c9\6\ue9ee\6\uea13\6\uea38\6\uea5d\6\uea82\6\ueaa7"+
-    "\6\ueacc\6\ueaf1\6\ueb16\6\ueb3b\6\ueb60\6\ueb85\6\uebaa\6\uebcf"+
-    "\6\uebf4\0\ue5f3\6\uec19\6\uec3e\6\uec63\6\uec88\6\uecad\6\uecd2"+
-    "\6\uecf7\6\ued1c\6\ued41\6\ued66\6\ued8b\1\u5ea2\6\uedb0\6\uedd5"+
-    "\0\0\0\0\6\uedfa\6\uee1f\6\uee44\6\uee69\6\uee8e\0\0"+
-    "\0\0\6\ueeb3\6\ueed8\6\ueefd\6\uef22\6\uef47\0\0\6\uef6c"+
-    "\1\u58ff\6\uef91\6\uefb6\6\uefdb\6\uf000\0\0\0\0\6\uf025"+
-    "\6\uf04a\6\uf06f\0\u33e3\6\uf094\0\u33e3\0\0\6\uf0b9\2\uf352"+
-    "\1\u5ce6\1\u5ce6\6\uf0de\6\uf103\6\uf128\0\0\6\uf14d\6\uf172"+
-    "\0\0\6\uf197\6\uf1bc\0\0\6\uf1e1\6\uf206\0\0";
-
-  private static int [] zzUnpackRowMap() {
-    int [] result = new int[13367];
-    int offset = 0;
-    offset = zzUnpackRowMap(ZZ_ROWMAP_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackRowMap(String packed, int offset, int [] result) {
-    int i = 0;  /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int high = packed.charAt(i++) << 16;
-      result[j++] = high | packed.charAt(i++);
-    }
-    return j;
-  }
-
-  /** 
-   * The transition table of the DFA
-   */
-  private static final int [] ZZ_TRANS = zzUnpackTrans();
-
-  private static final String ZZ_TRANS_PACKED_0 =
-    "\45\0\1\11\1\12\1\13\1\14\1\15\1\16\1\17"+
-    "\1\20\1\21\1\22\1\23\1\24\1\25\1\26\1\27"+
-    "\1\30\1\31\1\32\1\33\1\34\1\35\1\36\1\37"+
-    "\1\40\1\41\1\42\1\43\1\44\1\45\1\46\1\47"+
-    "\1\50\2\11\1\20\1\47\1\31\1\11\1\51\1\52"+
-    "\1\53\1\54\1\55\1\56\1\57\1\60\1\61\1\62"+
-    "\1\63\1\64\1\65\1\66\1\67\1\70\1\71\1\72"+
-    "\1\73\1\74\1\75\1\76\1\77\1\100\1\101\1\102"+
-    "\1\44\1\103\1\46\1\104\1\51\1\105\1\11\1\57"+
-    "\1\104\1\70\1\11\1\106\1\107\1\110\1\111\1\112"+
-    "\1\113\1\114\1\115\1\116\1\117\1\120\1\121\1\122"+
-    "\1\123\1\124\1\125\1\126\1\127\1\130\1\131\1\132"+
-    "\1\133\1\134\1\135\1\136\1\137\1\44\1\140\1\46"+
-    "\1\141\1\142\1\105\1\11\1\114\1\141\1\125\2\143"+
-    "\1\144\1\145\2\143\1\146\3\143\1\147\3\143\1\150"+
-    "\1\151\3\143\1\152\1\153\1\143\1\154\2\143\1\155"+
-    "\1\156\1\44\1\143\1\46\1\157\1\160\3\143\1\157"+
-    "\1\143\33\161\1\0\1\161\1\0\7\161\44\162\21\0"+
-    "\1\162\23\0\1\162\33\11\1\0\1\163\1\0\10\11"+
-    "\1\12\1\164\1\165\1\166\1\167\1\170\1\171\1\172"+
-    "\1\171\1\173\2\171\2\173\1\171\1\174\1\175\1\176"+
-    "\1\177\1\200\1\171\1\201\1\166\1\202\1\203\1\204"+
-    "\1\0\1\45\1\0\1\205\1\12\2\11\1\171\1\205"+
-    "\1\174\1\11\1\12\1\206\1\165\1\207\1\210\1\211"+
-    "\1\212\1\213\1\212\1\214\2\212\2\214\1\215\1\216"+
-    "\1\217\1\220\1\221\1\222\1\212\1\223\1\224\1\225"+
-    "\1\226\1\227\1\0\1\45\1\0\1\230\1\12\2\11"+
-    "\1\212\1\230\1\216\1\11\1\12\1\231\1\232\1\233"+
-    "\1\234\1\235\1\236\1\237\1\236\1\240\2\236\2\240"+
-    "\1\236\1\241\1\242\1\243\1\244\1\245\1\236\1\246"+
-    "\1\247\1\250\1\251\1\252\1\0\1\45\1\0\1\253"+
-    "\1\12\2\11\1\236\1\253\1\241\1\11\1\12\1\231"+
-    "\1\232\1\254\1\255\1\256\1\257\1\260\1\257\1\261"+
-    "\2\257\2\261\1\257\1\262\1\263\1\255\1\264\3\257"+
-    "\1\254\1\265\1\266\1\267\1\0\1\45\1\0\1\253"+
-    "\1\12\2\11\1\257\1\253\1\262\1\11\1\12\1\270"+
-    "\1\271\1\254\1\255\1\256\1\257\1\260\1\257\1\261"+
-    "\2\257\1\272\1\261\1\257\1\262\1\263\1\273\1\264"+
-    "\3\257\1\254\1\274\1\275\1\276\1\0\1\45\1\0"+
-    "\1\277\1\12\2\11\1\257\1\277\1\262\1\11\1\12"+
-    "\1\300\1\232\1\254\1\301\1\256\1\257\1\260\1\257"+
-    "\1\302\2\257\1\303\1\261\1\257\1\262\1\263\1\304"+
-    "\1\264\3\257\1\254\1\305\1\306\1\307\1\0\1\45"+
-    "\1\0\1\310\1\12\2\11\1\257\1\310\1\262\1\11"+
-    "\1\12\1\311\1\312\1\254\1\255\1\256\1\257\1\260"+
-    "\1\257\1\261\2\257\2\261\1\257\1\262\1\263\1\313"+
-    "\1\264\2\257\1\314\1\254\1\315\1\316\1\317\1\0"+
-    "\1\45\1\0\1\253\1\12\2\11\1\257\1\253\1\262"+
-    "\1\11\1\12\1\320\1\232\1\254\1\255\1\256\1\257"+
-    "\1\260\1\257\1\261\2\257\1\321\1\261\1\257\1\262"+
-    "\1\263\1\322\1\264\3\257\1\254\1\323\1\324\1\325"+
-    "\1\0\1\45\1\0\1\326\1\12\2\11\1\257\1\326"+
-    "\1\262\1\11\1\12\1\327\1\330\1\254\1\255\1\256"+
-    "\1\257\1\260\1\257\1\331\2\257\1\332\1\261\1\333"+
-    "\1\262\1\263\1\334\1\264\3\257\1\254\1\335\1\336"+
-    "\1\337\1\0\1\45\1\0\1\340\1\12\2\11\1\257"+
-    "\1\340\1\262\1\11\1\12\1\341\1\232\1\254\1\255"+
-    "\1\256\1\257\1\260\1\257\1\261\2\257\2\261\1\257"+
-    "\1\262\1\263\1\255\1\264\3\257\1\254\1\342\1\343"+
-    "\1\344\1\0\1\45\1\0\1\345\1\12\2\11\1\257"+
-    "\1\345\1\262\1\11\1\12\1\231\1\232\1\254\1\255"+
-    "\1\256\1\257\1\260\1\257\1\261\2\257\2\261\1\257"+
-    "\1\262\1\263\1\255\1\264\3\257\1\254\1\346\1\266"+
-    "\1\347\1\0\1\45\1\0\1\253\1\12\2\11\1\257"+
-    "\1\253\1\262\1\11\1\12\1\231\1\232\1\254\1\255"+
-    "\1\256\1\257\1\260\1\257\1\261\2\257\2\261\1\350"+
-    "\1\262\1\263\1\255\1\264\3\257\1\254\1\351\1\266"+
-    "\1\352\1\0\1\45\1\0\1\253\1\12\2\11\1\257"+
-    "\1\253\1\262\1\11\1\12\1\353\1\354\1\254\1\255"+
-    "\1\256\1\257\1\260\1\257\1\261\2\257\2\261\1\257"+
-    "\1\262\1\263\1\255\1\264\3\257\1\254\1\355\1\356"+
-    "\1\357\1\0\1\45\1\0\1\360\1\12\2\11\1\257"+
-    "\1\360\1\262\1\11\1\12\1\361\1\232\1\254\1\255"+
-    "\1\256\1\257\1\260\1\257\1\261\2\257\2\261\1\257"+
-    "\1\262\1\263\1\255\1\264\3\257\1\254\1\362\1\363"+
-    "\1\364\1\0\1\45\1\0\1\365\1\12\2\11\1\257"+
-    "\1\365\1\262\1\11\1\12\1\231\1\232\1\254\1\255"+
-    "\1\256\1\257\1\260\1\257\1\261\2\257\2\261\1\257"+
-    "\1\262\1\263\1\255\1\264\3\257\1\254\1\366\1\367"+
-    "\1\370\1\0\1\45\1\0\1\371\1\12\2\11\1\257"+
-    "\1\371\1\262\1\11\1\12\1\372\1\373\1\254\1\255"+
-    "\1\256\1\257\1\260\1\257\1\374\2\257\1\375\1\261"+
-    "\1\257\1\262\1\263\1\376\1\264\3\257\1\254\1\377"+
-    "\1\u0100\1\u0101\1\0\1\45\1\0\1\u0102\1\12\2\11"+
-    "\1\257\1\u0102\1\262\1\11\1\12\1\u0103\1\232\1\254"+
-    "\1\255\1\256\1\257\1\260\1\257\1\261\2\257\2\261"+
-    "\1\257\1\262\1\263\1\255\1\264\3\257\1\254\1\366"+
-    "\1\266\1\u0104\1\0\1\45\1\0\1\253\1\12\2\11"+
-    "\1\257\1\253\1\262\1\11\1\12\1\u0105\1\232\1\254"+
-    "\1\255\1\256\1\257\1\260\1\257\1\261\2\257\2\261"+
-    "\1\257\1\262\1\263\1\255\1\264\3\257\1\254\1\u0106"+
-    "\1\u0107\1\u0108\1\0\1\45\1\0\1\u0109\1\12\2\11"+
-    "\1\257\1\u0109\1\262\1\11\1\12\1\u010a\1\u010b\1\254"+
-    "\1\255\1\u010c\1\257\1\260\1\257\1\u010d\1\257\1\u010e"+
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-    "\1\106\1\u0994\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca"+
-    "\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf"+
-    "\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6"+
-    "\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4"+
-    "\1\u09ce\1\u09cf\1\u0995\1\u098c\1\u0996\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09d3\1\u09c9\1\u09ca"+
-    "\1\u09cb\1\u09cc\1\u09d4\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c"+
-    "\1\u0996\1\0\1\u0263\1\0\1\u0997\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u0997\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf"+
-    "\1\u09d5\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6"+
-    "\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4"+
-    "\1\u09ce\1\u09cf\1\u0998\1\u098c\1\u0996\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09d6\1\u09d7\1\u09d8\1\u09d9"+
-    "\1\u09c4\1\u09c5\1\u09c2\1\u09da\1\u09db\1\u09dc\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09dd\1\u09de\1\u09df\1\u09c4\1\u09e0\1\u09cf\1\u09e1"+
-    "\1\u09e2\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09d8\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09e3\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09e4\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u09c8\1\u09e5\1\u09ca\1\u09e6\1\u09e7\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0996\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09e5"+
-    "\1\11\1\106\1\u099b\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0993"+
-    "\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2"+
-    "\1\u09e8\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u098f\1\u098c\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09e9\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u09ea\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u09eb"+
-    "\1\u09ec\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u0664"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09ed\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u09ee\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u09ef\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0993"+
-    "\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2"+
-    "\1\u09e8\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u09a0\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u098b"+
-    "\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09b5\1\u0268\1\u09f0\1\u09b7\1\u0269\1\u09b8\2\u09b6"+
-    "\1\u09b9\1\u09f1\1\u09f2\1\u09bb\1\u09bc\1\u09a4\1\u09a5\1\u09a6"+
-    "\1\u0269\1\u09bd\1\u09be\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09aa\1\106\1\u016a\1\11\1\u09f0\1\u09aa\1\u09bb"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09b5\1\u0268\1\u09b6"+
-    "\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u09f3\1\u09bb"+
-    "\1\u09bc\1\u09a4\1\u09a5\1\u09ac\1\u0269\1\u09bd\1\u09be\1\u09ad"+
-    "\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a"+
-    "\1\11\1\u09b6\1\u09af\1\u09bb\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09b5\1\u0268\1\u09b6\1\u09b7\1\u0269\1\u09b8\2\u09b6"+
-    "\1\u09b9\1\u09ba\1\u09f4\1\u09bb\1\u09bc\1\u09a4\1\u09a5\1\u09a6"+
-    "\1\u0269\1\u09bd\1\u09be\1\u09ad\1\u09a8\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09aa\1\106\1\u016a\1\11\1\u09b6\1\u09aa\1\u09bb"+
-    "\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09b5\1\u0268\1\u09b6"+
-    "\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u09b6\1\u09bb"+
-    "\1\u09bc\1\u09a4\1\u09a5\1\u09f5\1\u0269\1\u09bd\1\u09be\1\u09b3"+
-    "\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a"+
-    "\1\11\1\u09b6\1\u09b4\1\u09bb\1\11\1\106\1\u096a\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u09fe\1\u09ff\1\u0a00\1\u0a01\1\u0a02\1\u0a03\1\u096f"+
-    "\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0970\1\u0971\1\u0972\1\0"+
-    "\1\u0263\1\0\1\u0973\1\106\1\u016a\1\11\1\u09f8\1\u0973"+
-    "\1\u0a01\1\11\1\106\1\u0a08\1\u0a09\1\u027d\1\u027e\1\u0a0a"+
-    "\1\u0280\1\u0281\1\u0280\1\u0282\2\u0280\1\u0283\1\u0284\1\u0280"+
-    "\1\u0285\1\u0286\1\u0287\1\u0288\1\u0289\1\u0280\1\u028a\1\u028b"+
-    "\1\u0a0b\1\u0a0c\1\u0a0d\1\0\1\u0263\1\0\1\u0a0e\1\106"+
-    "\1\u016a\1\11\1\u0280\1\u0a0e\1\u0285\1\11\1\106\1\u0a08"+
-    "\1\u027c\1\u0a0f\1\u0a10\1\u0a0a\1\u0a11\1\u0a12\1\u0280\1\u0a13"+
-    "\2\u0a11\1\u0283\1\u0a14\1\u0a11\1\u0a15\1\u0a16\1\u0a17\1\u0288"+
-    "\1\u0a18\1\u0280\1\u0a19\1\u0a1a\1\u0a1b\1\u0a1c\1\u0a1d\1\0"+
-    "\1\u0263\1\0\1\u0a1e\1\106\1\u016a\1\11\1\u0a11\1\u0a1e"+
-    "\1\u0a15\1\11\1\106\1\u0a08\1\u027c\1\u0a0f\1\u0a10\1\u0a0a"+
-    "\1\u0a11\1\u0a12\1\u0280\1\u0a13\2\u0a11\1\u0283\1\u0a14\1\u0a11"+
-    "\1\u0a15\1\u0a16\1\u0a17\1\u0288\1\u0a18\1\u0280\1\u0a19\1\u0a1a"+
-    "\1\u0a1f\1\u0a1c\1\u0a20\1\0\1\u0263\1\0\1\u0a1e\1\106"+
-    "\1\u016a\1\11\1\u0a11\1\u0a1e\1\u0a15\1\11\1\106\1\u0a08"+
-    "\1\u027c\1\u0a0f\1\u0a10\1\u0a0a\1\u0a11\1\u0a12\1\u0280\1\u0a21"+
-    "\2\u0a11\1\u0a22\1\u0a14\1\u0a11\1\u0a15\1\u0a16\1\u0a17\1\u0288"+
-    "\1\u0a18\1\u0280\1\u0a19\1\u0a1a\1\u0a23\1\u0a1c\1\u0a20\1\0"+
-    "\1\u0263\1\0\1\u0a1e\1\106\1\u016a\1\11\1\u0a11\1\u0a1e"+
-    "\1\u0a15\1\11\1\106\1\u0a08\1\u027c\1\u0a0f\1\u0a10\1\u0a0a"+
-    "\1\u0a11\1\u0a12\1\u0280\1\u0a13\2\u0a11\1\u0283\1\u0a14\1\u0a11"+
-    "\1\u0a15\1\u0a16\1\u0a17\1\u0288\1\u0a18\1\u0280\1\u0a19\1\u0a1a"+
-    "\1\u0a23\1\u0a1c\1\u0a20\1\0\1\u0263\1\0\1\u0a1e\1\106"+
-    "\1\u016a\1\11\1\u0a11\1\u0a1e\1\u0a15\1\11\1\106\1\u0a24"+
-    "\1\u027c\1\u0a0f\1\u0a10\1\u0a0a\1\u0a11\1\u0a12\1\u0280\1\u0a13"+
-    "\2\u0a11\1\u0283\1\u0a14\1\u0a11\1\u0a15\1\u0a16\1\u0a17\1\u0288"+
-    "\1\u0a18\1\u0280\1\u0a19\1\u0a1a\1\u0a23\1\u0a1c\1\u0a20\1\0"+
-    "\1\u0263\1\0\1\u0a1e\1\106\1\u016a\1\11\1\u0a11\1\u0a1e"+
-    "\1\u0a15\1\11\1\106\1\u0a08\1\u027c\1\u0a0f\1\u0a10\1\u0a0a"+
-    "\1\u0a11\1\u0a12";
-
-  private static final String ZZ_TRANS_PACKED_1 =
-    "\1\u0280\1\u0a13\2\u0a11\1\u0283\1\u0a14\1\u0a11\1\u0a15\1\u0a16"+
-    "\1\u0a17\1\u0288\1\u0a18\1\u0280\1\u0a19\1\u0a1a\1\u0a25\1\u0a1c"+
-    "\1\u0a26\1\0\1\u0263\1\0\1\u0a1e\1\106\1\u016a\1\11"+
-    "\1\u0a11\1\u0a1e\1\u0a15\1\11\1\106\1\u0a08\1\u027c\1\u0a0f"+
-    "\1\u0a10\1\u0a0a\1\u0a11\1\u0a12\1\u0280\1\u0a13\2\u0a11\1\u0283"+
-    "\1\u0a14\1\u0a11\1\u0a15\1\u0a16\1\u0a17\1\u0288\1\u0a18\1\u0280"+
-    "\1\u0a19\1\u0a1a\1\u0a23\1\u0a1c\1\u0a26\1\0\1\u0263\1\0"+
-    "\1\u0a27\1\106\1\u016a\1\11\1\u0a11\1\u0a27\1\u0a15\1\11"+
-    "\1\106\1\u0a08\1\u027c\1\u0a0f\1\u0a10\1\u0a0a\1\u0a11\1\u0a12"+
-    "\1\u0280\1\u0a13\2\u0a11\1\u0283\1\u0a14\1\u0a11\1\u0a15\1\u0a16"+
-    "\1\u0a17\1\u0288\1\u0a18\1\u0280\1\u0a19\1\u0a1a\1\u0a28\1\u0a1c"+
-    "\1\u0a26\1\0\1\u0263\1\0\1\u0a1e\1\106\1\u016a\1\11"+
-    "\1\u0a11\1\u0a1e\1\u0a15\1\11\1\106\1\u0a08\1\u027c\1\u0a0f"+
-    "\1\u0a10\1\u0a0a\1\u0a11\1\u0a12\1\u0280\1\u0a29\2\u0a11\1\u0283"+
-    "\1\u0a14\1\u0a11\1\u0a15\1\u0a16\1\u0a2a\1\u0288\1\u0a18\1\u0280"+
-    "\1\u0a19\1\u0a1a\1\u0a23\1\u0a1c\1\u0a26\1\0\1\u0263\1\0"+
-    "\1\u0a1e\1\106\1\u016a\1\11\1\u0a11\1\u0a1e\1\u0a15\1\11"+
-    "\1\106\1\u0a2b\1\u027c\1\u0a0f\1\u0a10\1\u0a0a\1\u0a11\1\u0a12"+
-    "\1\u0280\1\u0a13\2\u0a11\1\u0283\1\u0a14\1\u0a11\1\u0a15\1\u0a16"+
-    "\1\u0a17\1\u0288\1\u0a18\1\u0280\1\u0a19\1\u0a1a\1\u0a23\1\u0a1c"+
-    "\1\u0a20\1\0\1\u0263\1\0\1\u0a1e\1\106\1\u016a\1\11"+
-    "\1\u0a11\1\u0a1e\1\u0a15\1\11\1\106\1\u0a08\1\u027c\1\u0a0f"+
-    "\1\u0a10\1\u0a0a\1\u0a11\1\u0a12\1\u0280\1\u0a13\2\u0a11\1\u0a2c"+
-    "\1\u0a14\1\u0a11\1\u0a15\1\u0a16\1\u0a17\1\u0288\1\u0a18\1\u0280"+
-    "\1\u0a19\1\u0a1a\1\u0a1f\1\u0a1c\1\u0a20\1\0\1\u0263\1\0"+
-    "\1\u0a1e\1\106\1\u016a\1\11\1\u0a11\1\u0a1e\1\u0a15\1\11"+
-    "\1\106\1\u0a08\1\u027c\1\u0a0f\1\u0a10\1\u0a0a\1\u0a11\1\u0a12"+
-    "\1\u0280\1\u0a2d\2\u0a11\1\u0283\1\u0a14\1\u0a11\1\u0a15\1\u0a16"+
-    "\1\u0a17\1\u0a2e\1\u0a18\1\u0280\1\u0a19\1\u0a1a\1\u0a2f\1\u0a30"+
-    "\1\u0a20\1\0\1\u0263\1\0\1\u0a1e\1\106\1\u0664\1\11"+
-    "\1\u0a11\1\u0a1e\1\u0a15\1\11\1\106\1\u0a08\1\u027c\1\u0a0f"+
-    "\1\u0a10\1\u0a0a\1\u0a11\1\u0a12\1\u0280\1\u0282\2\u0a11\1\u0283"+
-    "\1\u0a14\1\u0a11\1\u0a15\1\u0a16\1\u0a17\1\u0288\1\u0a18\1\u0280"+
-    "\1\u0a19\1\u0a1a\1\u0a23\1\u0a1c\1\u0a20\1\0\1\u0263\1\0"+
-    "\1\u0a1e\1\106\1\u016a\1\11\1\u0a11\1\u0a1e\1\u0a15\1\11"+
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-    "\1\11\1\12\1\u03da\1\u03a3\1\207\1\u03db\1\211\1\u03dc"+
-    "\1\u03dd\1\212\1\u03de\2\u03dc\1\u0fc7\1\u03de\1\u03dc\1\u03df"+
-    "\1\u03e0\1\u03d0\1\u0142\1\222\1\212\1\u03e1\1\u0153\1\u0e84"+
-    "\1\u0457\1\u03d4\1\0\1\45\1\0\1\u03d8\1\12\2\11"+
-    "\1\u03dc\1\u03d8\1\u03df\1\11\1\12\1\u03a2\1\u03a3\1\207"+
-    "\1\u03db\1\211\1\u03dc\1\u03dd\1\u0fe1\1\u03de\2\u03dc\2\u03de"+
-    "\1\u03dc\1\u03df\1\u03e0\1\u03d0\1\221\1\u03d1\1\212\1\u03e1"+
-    "\1\u0153\1\u03a6\1\u03a7\1\u03a8\1\0\1\45\1\0\1\u03a9"+
-    "\1\12\2\11\1\u03dc\1\u03a9\1\u03df\1\11\1\12\1\u03aa"+
-    "\1\165\1\u03e2\1\u03e3\1\u0edf\1\u03e5\1\u03e6\1\u03e7\1\u03f2"+
-    "\2\u03e5\1\u03e9\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed\1\u03ee"+
-    "\1\u0fe2\1\u03e7\1\u03f0\1\u03e2\1\u03c6\1\u03c0\1\u03c1\1\0"+
-    "\1\45\1\0\1\u03c2\1\12\2\11\1\u03e5\1\u03c2\1\u03eb"+
-    "\1\11\1\12\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5"+
-    "\1\u03e6\1\u03e5\1\u03e8\2\u03e5\1\u03e9\1\u03e8\1\u0ee3\1\u03eb"+
-    "\1\u03ec\1\u03ed\1\u0e82\1\u03ef\1\u03e7\1\u03f0\1\u03e2\1\u0fe3"+
-    "\1\u0653\1\u03c1\1\0\1\45\1\0\1\u03c2\1\12\2\11"+
-    "\1\u03e5\1\u03c2\1\u03eb\1\11\1\12\1\u03aa\1\165\1\u03e2"+
-    "\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e7\1\u03e8\2\u03e5\1\u03e9"+
-    "\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed\1\u03ee\1\u03ef\1\u0ee0"+
-    "\1\u03f0\1\u03e2\1\u0fe4\1\u03c0\1\u03c1\1\0\1\45\1\0"+
-    "\1\u03c2\1\12\2\11\1\u03e5\1\u03c2\1\u03eb\1\11\1\12"+
-    "\1\206\1\u03a3\1\207\1\u03db\1\211\1\u040c\1\u03dd\1\212"+
-    "\1\u03de\2\u03dc\2\u03de\1\u03dc\1\u03df\1\u03e0\1\u03d0\1\u0fe5"+
-    "\1\u03d1\1\212\1\u03e1\1\u0153\1\u03d2\1\u0457\1\u03d4\1\0"+
-    "\1\45\1\0\1\u03d5\1\12\2\11\1\u040c\1\u03d5\1\u03df"+
-    "\1\11\1\12\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5"+
-    "\1\u0fe6\1\u03e7\1\u03e8\2\u03e5\1\u0406\1\u03e8\1\u03ea\1\u03eb"+
-    "\1\u03ec\1\u03ed\1\u03ee\1\u03ef\1\u03e7\1\u03f0";
-
-  private static final String ZZ_TRANS_PACKED_2 =
-    "\1\u03e2\1\u03c6\1\u03c0\1\u03c8\1\0\1\45\1\0\1\u03c2"+
-    "\1\12\2\11\1\u03e5\1\u03c2\1\u03eb\1\11\1\12\1\u03aa"+
-    "\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e5\1\u03e8"+
-    "\2\u03e5\1\u03e9\1\u03e8\1\u0fe7\1\u03eb\1\u03ec\1\u03ed\1\u03ee"+
-    "\1\u03ef\1\u03e7\1\u03f0\1\u03e2\1\u0e90\1\u0653\1\u03c1\1\0"+
-    "\1\45\1\0\1\u03c2\1\12\2\11\1\u03e5\1\u03c2\1\u03eb"+
-    "\1\11\1\12\1\u0421\1\u0422\1\233\1\u0fe8\1\u0423\1\236"+
-    "\1\237\1\236\1\240\2\236\2\240\1\236\1\241\1\242"+
-    "\1\243\1\244\1\245\1\236\1\246\1\247\1\u0424\1\u0425"+
-    "\1\u0426\1\0\1\45\1\0\1\u0427\1\12\2\11\1\236"+
-    "\1\u0427\1\241\1\11\1\12\1\206\1\u03a3\1\207\1\u040f"+
-    "\1\u0410\1\u0fe9\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u0417"+
-    "\1\u0418\1\u0e86\1\u041a\1\u041b\1\u0443\1\u0142\1\u041d\1\u041e"+
-    "\1\u0fea\1\u0420\1\u03d2\1\u03d3\1\u03d4\1\0\1\45\1\0"+
-    "\1\u03d5\1\12\2\11\1\u0fe9\1\u03d5\1\u041a\1\11\1\12"+
-    "\1\u03da\1\u03a3\1\207\1\u040f\1\u0410\1\u0411\1\u0412\1\u0413"+
-    "\1\u0414\1\u0415\1\u0416\1\u0417\1\u0418\1\u0e8e\1\u041a\1\u041b"+
-    "\1\u041c\1\u0142\1\u041d\1\u041e\1\u0feb\1\u0420\1\u0456\1\u0457"+
-    "\1\u0fec\1\0\1\45\1\0\1\u03d5\1\12\2\11\1\u0411"+
-    "\1\u03d5\1\u041a\1\11\1\12\1\u03da\1\u03a3\1\207\1\u040f"+
-    "\1\u0410\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u0417"+
-    "\1\u0418\1\u0f99\1\u041a\1\u041b\1\u041c\1\u0142\1\u041d\1\u041e"+
-    "\1\u041f\1\u0420\1\u03d7\1\u03d3\1\u03d4\1\0\1\45\1\0"+
-    "\1\u03d8\1\12\2\11\1\u0411\1\u03d8\1\u041a\1\11\1\12"+
-    "\1\206\1\u03a3\1\u0e93\1\u0e94\1\u0e95\1\u0ef8\1\u0e97\1\u0e98"+
-    "\1\u0e99\1\u0e9a\1\u0e9b\1\u0eef\1\u0e9d\1\u0e9e\1\u0e9f\1\u0ea0"+
-    "\1\u0ea1\1\u0fed\1\u0ef0\1\u0ea4\1\u0ea5\1\u0ea6\1\u04f2\1\u03d3"+
-    "\1\u03d4\1\0\1\45\1\0\1\u03d5\1\12\2\11\1\u0ef8"+
-    "\1\u03d5\1\u0e9f\1\11\1\12\1\206\1\u03a3\1\207\1\u040f"+
-    "\1\u0fee\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u0417"+
-    "\1\u0418\1\u0ef7\1\u041a\1\u041b\1\u041c\1\u0142\1\u041d\1\u0fef"+
-    "\1\u041f\1\u0420\1\u0e8d\1\u03d3\1\u03d4\1\0\1\45\1\0"+
-    "\1\u03d8\1\12\2\11\1\u0411\1\u03d8\1\u041a\1\11\1\12"+
-    "\1\206\1\u03a3\1\u0ff0\1\u040f\1\u0410\1\u0411\1\u0412\1\u0413"+
-    "\1\u0414\1\u0415\1\u0416\1\u0ff1\1\u0418\1\u0e8e\1\u041a\1\u041b"+
-    "\1\u041c\1\u0142\1\u048f\1\u041e\1\u041f\1\u0420\1\u0456\1\u0457"+
-    "\1\u03d4\1\0\1\45\1\0\1\u03d5\1\12\2\11\1\u0411"+
-    "\1\u03d5\1\u041a\1\11\1\12\1\u03aa\1\165\1\u03e2\1\u03e3"+
-    "\1\u03e4\1\u03e5\1\u03e6\1\u03e7\1\u03e8\2\u03e5\1\u0ff2\1\u03e8"+
-    "\1\u03ea\1\u03eb\1\u03ec\1\u03ed\1\u03ee\1\u0ff3\1\u03e7\1\u03f0"+
-    "\1\u03e2\1\u03c6\1\u03c0\1\u03c8\1\0\1\45\1\0\1\u03c2"+
-    "\1\12\2\11\1\u03e5\1\u03c2\1\u03eb\1\11\1\12\1\u03aa"+
-    "\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e7\1\u03e8"+
-    "\2\u03e5\1\u0ff4\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed\1\u03ee"+
-    "\1\u03ef\1\u03e7\1\u03f0\1\u03e2\1\u03c6\1\u0ff5\1\u03c8\1\0"+
-    "\1\45\1\0\1\u0ff6\1\12\2\11\1\u03e5\1\u0ff6\1\u03eb"+
-    "\1\11\1\12\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5"+
-    "\1\u03e6\1\u0efa\1\u03e8\2\u03e5\1\u03e9\1\u03e8\1\u0ee3\1\u03eb"+
-    "\1\u03ec\1\u03ed\1\u03ee\1\u03ef\1\u03e7\1\u03f0\1\u03e2\1\u0ff7"+
-    "\1\u03c0\1\u03c1\1\0\1\45\1\0\1\u03c2\1\12\2\11"+
-    "\1\u03e5\1\u03c2\1\u03eb\1\11\1\12\1\u03a2\1\u03a3\1\207"+
-    "\1\u03db\1\211\1\u03dc\1\u03dd\1\u0ff8\1\u03de\2\u03dc\2\u03de"+
-    "\1\u0f7c\1\u03df\1\u03e0\1\u03d0\1\u03a5\1\u03d1\1\212\1\u03e1"+
-    "\1\u0153\1\u03a6\1\u03a7\1\u03a8\1\0\1\45\1\0\1\u03a9"+
-    "\1\12\2\11\1\u03dc\1\u03a9\1\u03df\1\11\1\12\1\u0ff9"+
-    "\1\165\1\u03e2\1\u03e3\1\u0edf\1\u03e5\1\u03e6\1\u03e7\1\u03f2"+
-    "\2\u03e5\1\u03e9\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed\1\u03ee"+
-    "\1\u03f3\1\u03e7\1\u03f0\1\u03e2\1\u03c6\1\u03c0\1\u03c1\1\0"+
-    "\1\45\1\0\1\u03c2\1\12\2\11\1\u03e5\1\u03c2\1\u03eb"+
-    "\1\11\1\12\1\u03aa\1\165\1\u03e2\1\u0ffa\1\u03e4\1\u0ffb"+
-    "\1\u03e6\1\u0ffc\1\u03e8\2\u03e5\1\u0406\1\u03e8\1\u03ea\1\u03eb"+
-    "\1\u03ec\1\u0ee6\1\u0ffd\1\u0ffe\1\u03e7\1\u0fff\1\u03e2\1\u1000"+
-    "\1\u03c0\1\u03c1\1\0\1\45\1\0\1\u03c2\1\12\2\11"+
-    "\1\u0ffb\1\u03c2\1\u03eb\1\11\1\12\1\u03aa\1\165\1\u03e2"+
-    "\1\u03e3\1\u0edf\1\u03e5\1\u03e6\1\u03e7\1\u03f2\2\u03e5\1\u03e9"+
-    "\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed\1\u1001\1\u0fe2\1\u03e7"+
-    "\1\u03f0\1\u03e2\1\u03c6\1\u03c0\1\u03c1\1\0\1\45\1\0"+
-    "\1\u03c2\1\12\2\11\1\u03e5\1\u03c2\1\u03eb\1\11\1\12"+
-    "\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e7"+
-    "\1\u03e8\2\u03e5\1\u1002\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed"+
-    "\1\u03ee\1\u03ef\1\u03e7\1\u03f0\1\u03e2\1\u03c6\1\u03c0\1\u03c8"+
-    "\1\0\1\45\1\0\1\u03c2\1\12\2\11\1\u03e5\1\u03c2"+
-    "\1\u03eb\1\11\1\12\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4"+
-    "\1\u03e5\1\u03e6\1\u03e7\1\u1003\2\u03e5\1\u03e9\1\u03e8\1\u03ea"+
-    "\1\u03eb\1\u03ec\1\u03ed\1\u03ee\1\u0ee7\1\u03e7\1\u03f0\1\u03e2"+
-    "\1\u03c6\1\u03c0\1\u03c1\1\0\1\45\1\0\1\u03c2\1\12"+
-    "\2\11\1\u03e5\1\u03c2\1\u03eb\1\11\1\12\1\u03aa\1\165"+
-    "\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e5\1\u03e8\2\u03e5"+
-    "\1\u03e9\1\u03e8\1\u0ee3\1\u03eb\1\u03ec\1\u03ed\1\u1004\1\u03ef"+
-    "\1\u03e7\1\u03f0\1\u03e2\1\u0e90\1\u0653\1\u03c1\1\0\1\45"+
-    "\1\0\1\u03c2\1\12\2\11\1\u03e5\1\u03c2\1\u03eb\1\11"+
-    "\1\12\1\u03da\1\u03a3\1\207\1\u03db\1\211\1\212\1\u03dd"+
-    "\1\212\1\u03de\2\u03dc\2\u03de\1\u03dc\1\u03df\1\u03e0\1\u1005"+
-    "\1\u0142\1\222\1\212\1\u03e1\1\u0153\1\u0e84\1\u0457\1\u03d4"+
-    "\1\0\1\45\1\0\1\u03d8\1\12\2\11\1\212\1\u03d8"+
-    "\1\u03df\1\11\1\12\1\u0421\1\232\1\u0428\1\u0429\1\u0423"+
-    "\1\u042a\1\u042b\1\236\1\u042c\2\u042a\1\240\1\u042c\1\u042a"+
-    "\1\u1006\1\u042e\1\u043c\1\244\1\u0430\1\236\1\u0431\1\u0428"+
-    "\1\u0439\1\u0433\1\u043b\1\0\1\45\1\0\1\u0435\1\12"+
-    "\2\11\1\u042a\1\u0435\1\u1006\1\11\1\12\1\u03da\1\u03a3"+
-    "\1\207\1\u040f\1\u0410\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415"+
-    "\1\u0416\1\u0417\1\u0418\1\u0e8e\1\u041a\1\u041b\1\u041c\1\u1007"+
-    "\1\u041d\1\u041e\1\u041f\1\u0420\1\u0456\1\u0457\1\u03d4\1\0"+
-    "\1\45\1\0\1\u03d5\1\12\2\11\1\u0411\1\u03d5\1\u041a"+
-    "\1\11\1\12\1\206\1\u03a3\1\207\1\u040f\1\u0410\1\u0411"+
-    "\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u0417\1\u1008\1\u0ef7"+
-    "\1\u041a\1\u041b\1\u041c\1\u0142\1\u041d\1\u041e\1\u041f\1\u0420"+
-    "\1\u0e8d\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8\1\12"+
-    "\2\11\1\u0411\1\u03d8\1\u041a\1\11\1\12\1\u03da\1\u03a3"+
-    "\1\207\1\u040f\1\u1009\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415"+
-    "\1\u0416\1\u0417\1\u0418\1\u0e86\1\u041a\1\u041b\1\u041c\1\u0142"+
-    "\1\u041d\1\u041e\1\u041f\1\u0420\1\u03d7\1\u03d3\1\u03d4\1\0"+
-    "\1\45\1\0\1\u03d8\1\12\2\11\1\u0411\1\u03d8\1\u041a"+
-    "\1\11\1\12\1\u03da\1\u03a3\1\207\1\u040f\1\u0410\1\u0411"+
-    "\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u0417\1\u0418\1\u0e86"+
-    "\1\u041a\1\u041b\1\u041c\1\u0142\1\u041d\1\u041e\1\u0fcf\1\u0420"+
-    "\1\u03d7\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8\1\12"+
-    "\2\11\1\u0411\1\u03d8\1\u041a\1\11\1\12\1\206\1\u03a3"+
-    "\1\u0e93\1\u0e94\1\u0e95\1\u0ef8\1\u0e97\1\u0e98\1\u0e99\1\u0e9a"+
-    "\1\u0e9b\1\u0eef\1\u0e9d\1\u0e9e\1\u0e9f\1\u0ea0\1\u0ea1\1\u0ea2"+
-    "\1\u0ef0\1\u0ea4\1\u100a\1\u0ea6\1\u04f2\1\u03d3\1\u03d4\1\0"+
-    "\1\45\1\0\1\u03d5\1\12\2\11\1\u0ef8\1\u03d5\1\u0e9f"+
-    "\1\11\1\12\1\206\1\u03a3\1\207\1\u040f\1\u0410\1\u0411"+
-    "\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u0417\1\u0418\1\u0ef7"+
-    "\1\u100b\1\u041b\1\u041c\1\u0142\1\u041d\1\u041e\1\u041f\1\u0420"+
-    "\1\u0e8d\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8\1\12"+
-    "\2\11\1\u0411\1\u03d8\1\u100b\1\11\1\12\1\u100c\1\u03a3"+
-    "\1\207\1\u040f\1\u0410\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415"+
-    "\1\u0416\1\u0417\1\u0418\1\u0e8e\1\u04a8\1\u041b\1\u041c\1\u0142"+
-    "\1\u041d\1\u051f\1\u0539\1\u0420\1\u0456\1\u0457\1\u03d4\1\0"+
-    "\1\45\1\0\1\u03d5\1\12\2\11\1\u0411\1\u03d5\1\u04a8"+
-    "\1\11\1\12\1\u03da\1\u03a3\1\207\1\u040f\1\u0410\1\u0411"+
-    "\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u0417\1\u0418\1\u0e86"+
-    "\1\u041a\1\u041b\1\u041c\1\u0142\1\u041d\1\u0fcd\1\u041f\1\u0420"+
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-    "\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d"+
-    "\1\u015b\1\u015e\2\u015b\1\u12c2\1\u0160\1\u015b\1\u0161\2\u015b"+
-    "\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5\1\0"+
-    "\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169"+
-    "\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c"+
-    "\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u123f\1\u0160\1\u015b"+
-    "\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658"+
-    "\1\u065e\1\0\1\u0168\1\0\1\u065f\1\51\1\u016a\1\11"+
-    "\1\u015b\1\u065f\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a"+
-    "\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u123f"+
-    "\1\u0160\1\u015b\1\u0161\2\u015b\1\u0668\2\u015b\1\u0163\1\u0164"+
-    "\1\u0165\1\u0658\1\u01e5\1\0\1\u0168\1\0\1\u0169\1\51"+
-    "\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158"+
-    "\1\u0159\1\u016b\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e"+
-    "\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\1\u015b\1\u0656\1\u0657"+
-    "\2\u015b\1\u0163\1\u0164\1\u0165\1\u0166\1\u0167\1\0\1\u0168"+
-    "\1\0\1\u12c3\1\51\1\u016a\1\11\1\u015b\1\u12c3\1\u0161"+
-    "\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u12c4\1\u015b"+
-    "\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161"+
-    "\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5"+
-    "\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b"+
-    "\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b"+
-    "\1\u015c\1\u015b\1\u015d\1\u0926\1\u015e\2\u015b\1\u015f\1\u0160"+
-    "\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165"+
-    "\1\u0658\1\u01e5\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a"+
-    "\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159"+
-    "\1\u015a\1\u015b\1\u015c\1\u12c5\1\u015d\1\u015b\1\u015e\2\u015b"+
-    "\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163"+
-    "\1\u0164\1\u0165\1\u0658\1\u065e\1\0\1\u0168\1\0\1\u065f"+
-    "\1\51\1\u016a\1\11\1\u12c5\1\u065f\1\u0161\1\11\1\51"+
-    "\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u12c6\1\u015d\1\u015b"+
-    "\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0668"+
-    "\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5\1\0\1\u0168"+
-    "\1\0\1\u0169\1\51\1\u016a\1\11\1\u12c6\1\u0169\1\u0161"+
-    "\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b"+
-    "\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161"+
-    "\2\u015b\1\u0668\2\u015b\1\u0163\1\u0164\1\u0165\1\u1224\1\u01e5";
-
-  private static final String ZZ_TRANS_PACKED_3 =
-    "\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b"+
-    "\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u016b\1\u015b"+
-    "\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160"+
-    "\1\u12c7\1\u0161\1\u015b\1\u0656\1\u0668\1\u0669\1\u015b\1\u0163"+
-    "\1\u0164\1\u0165\1\u066a\1\u0167\1\0\1\u0168\1\0\1\u065f"+
-    "\1\51\1\u016a\1\11\1\u015b\1\u065f\1\u0161\1\11\1\51"+
-    "\1\u0158\1\u0159\1\u016b\1\u015b\1\u015c\1\u0914\1\u015d\1\u015b"+
-    "\1\u015e\2\u015b\1\u015f\1\u0160\1\u0656\1\u0161\1\u015b\1\u0656"+
-    "\1\u0668\2\u015b\1\u0163\1\u0164\1\u0165\1\u0166\1\u0167\1\0"+
-    "\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u0914\1\u0169"+
-    "\1\u0161\1\11\1\51\1\u065c\1\u0159\1\u016b\1\u015b\1\u015c"+
-    "\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u123f\1\u0160\1\u015b"+
-    "\1\u0161\1\u015b\1\u0656\1\u0668\1\u066c\1\u015b\1\u0163\1\u0164"+
-    "\1\u066d\1\u0166\1\u0167\1\0\1\u0168\1\0\1\u0169\1\51"+
-    "\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158"+
-    "\1\u0159\1\u016b\1\u015b\1\u12c8\1\u015b\1\u015d\1\u015b\1\u015e"+
-    "\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\1\u015b\1\u0656\1\u0170"+
-    "\2\u015b\1\u0163\1\u0164\1\u0165\1\u0166\1\u0167\1\0\1\u0168"+
-    "\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161"+
-    "\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b"+
-    "\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161"+
-    "\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u12c9"+
-    "\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b"+
-    "\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b"+
-    "\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u12ca\1\u0160"+
-    "\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165"+
-    "\1\u0658\1\u065e\1\0\1\u0168\1\0\1\u07d7\1\51\1\u016a"+
-    "\1\11\1\u015b\1\u07d7\1\u0161\1\11\1\51\1\u0158\1\u0159"+
-    "\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u12cb\1\u015e\2\u015b"+
-    "\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163"+
-    "\1\u0164\1\u0165\1\u0658\1\u01e5\1\0\1\u0168\1\0\1\u0169"+
-    "\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51"+
-    "\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b"+
-    "\1\u0662\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u11c9"+
-    "\2\u015b\1\u12cc\1\u0164\1\u0659\1\u0663\1\u01e5\1\0\1\u0168"+
-    "\1\0\1\u0169\1\51\1\u0664\1\11\1\u015b\1\u0169\1\u0161"+
-    "\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b"+
-    "\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161"+
-    "\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164\1\u12cd\1\u0658\1\u01e5"+
-    "\1\0\1\u0168\1\0\1\u11b8\1\51\1\u016a\1\11\1\u015b"+
-    "\1\u11b8\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b"+
-    "\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160"+
-    "\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165"+
-    "\1\u0658\1\u065e\1\0\1\u0168\1\0\1\u07d7\1\51\1\u016a"+
-    "\1\11\1\u015b\1\u07d7\1\u0161\1\11\1\51\1\u0158\1\u0159"+
-    "\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b"+
-    "\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163"+
-    "\1\u0164\1\u0660\1\u0658\1\u065e\1\0\1\u0168\1\0\1\u12ce"+
-    "\1\51\1\u016a\1\11\1\u015b\1\u12ce\1\u0161\1\11\1\51"+
-    "\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u12cf\1\u015d\1\u015b"+
-    "\1\u015e\1\u015b\1\u11e4\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b"+
-    "\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5\1\0"+
-    "\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u12cf\1\u0169"+
-    "\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c"+
-    "\1\u015b\1\u015d\1\u015b\1\u0662\2\u015b\1\u015f\1\u0160\1\u015b"+
-    "\1\u0161\2\u015b\1\u0657\1\u07dd\1\u015b\1\u0163\1\u0164\1\u0659"+
-    "\1\u0663\1\u01e5\1\0\1\u0168\1\0\1\u0169\1\51\1\u0664"+
-    "\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159"+
-    "\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b"+
-    "\1\u015f\1\u0160\1\u015b\1\u0161\1\u015b\1\u12d0\1\u0162\2\u015b"+
-    "\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5\1\0\1\u0168\1\0"+
-    "\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11"+
-    "\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d"+
-    "\1\u015b\1\u0661\2\u015b\1\u015f\1\u0160\1\u12d1\1\u0161\2\u015b"+
-    "\1\u0162\2\u015b\1\u0163\1\u0164\1\u12d2\1\u0658\1\u12d3\1\0"+
-    "\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169"+
-    "\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c"+
-    "\1\u015b\1\u015d\1\u015b\1\u0662\2\u015b\1\u015f\1\u0160\1\u015b"+
-    "\1\u0161\2\u015b\1\u0657\1\u12d4\1\u015b\1\u0163\1\u0164\1\u0659"+
-    "\1\u0663\1\u01e5\1\0\1\u0168\1\0\1\u0169\1\51\1\u0664"+
-    "\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159"+
-    "\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b"+
-    "\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163"+
-    "\1\u0164\1\u0165\1\u12d5\1\u065e\1\0\1\u0168\1\0\1\u065f"+
-    "\1\51\1\u016a\1\11\1\u015b\1\u065f\1\u0161\1\11\1\51"+
-    "\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b"+
-    "\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162"+
-    "\2\u015b\1\u0163\1\u0164\1\u0660\1\u12d6\1\u065e\1\0\1\u0168"+
-    "\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161"+
-    "\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b"+
-    "\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u0667\1\u12d7"+
-    "\1\u015b\1\u12d8\1\u0170\1\u12d9\1\u015b\1\u0163\1\u0164\1\u0165"+
-    "\1\u0658\1\u12da\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a"+
-    "\1\11\1\u015b\1\u0169\1\u12d7\1\11\1\51\1\u065c\1\u0159"+
-    "\1\u016b\1\u015b\1\u015c\1\u12db\1\u015d\1\u015b\1\u015e\2\u015b"+
-    "\1\u015f\1\u0160\1\u015b\1\u0161\1\u015b\1\u12dc\1\u0668\1\u066c"+
-    "\1\u015b\1\u0163\1\u0164\1\u066d\1\u0166\1\u0167\1\0\1\u0168"+
-    "\1\0\1\u0169\1\51\1\u016a\1\11\1\u12db\1\u0169\1\u0161"+
-    "\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u01a4"+
-    "\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161"+
-    "\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5"+
-    "\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u01a4"+
-    "\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b"+
-    "\1\u015c\1\u015b\1\u015d\1\u015b\1\u0662\2\u015b\1\u015f\1\u0160"+
-    "\1\u015b\1\u0161\2\u015b\1\u0657\1\u12dd\1\u015b\1\u0163\1\u0164"+
-    "\1\u0165\1\u0663\1\u01e5\1\0\1\u0168\1\0\1\u0169\1\51"+
-    "\1\u0664\1\11\1\u015b\1\u0169\1\u0161\2\0\1\u023c\5\0"+
-    "\1\u12de\15\0\1\u066b\7\0\1\u023d\4\0\1\u023d\1\0"+
-    "\1\11\1\51\1\u0158\1\u0159\1\u016b\1\u015b\1\u015c\1\u015b"+
-    "\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161"+
-    "\1\u015b\1\u12df\1\u12e0\2\u015b\1\u0163\1\u0164\1\u0165\1\u0166"+
-    "\1\u0167\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11"+
-    "\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u12e1\1\u0159\1\u015a"+
-    "\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u065b\2\u015b\1\u015f"+
-    "\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164"+
-    "\1\u0165\1\u0658\1\u01e5\1\0\1\u0168\1\0\1\u0169\1\51"+
-    "\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158"+
-    "\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e"+
-    "\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b"+
-    "\1\u0163\1\u0164\1\u0660\1\u12e2\1\u065e\1\0\1\u0168\1\0"+
-    "\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11"+
-    "\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d"+
-    "\1\u015b\1\u015e\1\u015b\1\u11c2\1\u015f\1\u0160\1\u015b\1\u0161"+
-    "\2\u015b\1\u0668\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5"+
-    "\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b"+
-    "\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b"+
-    "\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160"+
-    "\1\u015b\1\u0161\2\u015b\1\u12e3\2\u015b\1\u0163\1\u0164\1\u0165"+
-    "\1\u0658\1\u01e5\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a"+
-    "\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159"+
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-    "\1\u0987\1\u099e\1\u0988\1\u0254\1\u0989\1\u098a\1\u1514\1\u1515"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u0664\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0265\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u09ff\1\u152c\1\u0a35\1\u0a02\1\u0a03\1\u154d\1\u1522"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09af\1\106\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u152c"+
-    "\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0d76\1\u0a06\1\u0a07"+
-    "\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0998\1\u154e\1\u0996\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u0993\1\u154e\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u09e8\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u0e40"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1526\1\u1525\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u09e9\2\u09c2\1\u09c6\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u09ea\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u0993\1\u099f\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u0664\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09ed"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u1525\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09b5\1\u0268"+
-    "\1\u0dc4\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09f1\1\u09f2"+
-    "\1\u09bb\1\u09bc\1\u09a4\1\u09a5\1\u09a6\1\u0269\1\u09bd\1\u09be"+
-    "\1\u09a7\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106"+
-    "\1\u016a\1\11\1\u0dc4\1\u09aa\1\u09bb\1\11\1\106\1\u0265"+
-    "\1\u096b\1\u0266\1\u09b5\1\u0268\1\u09b6\1\u09b7\1\u0269\1\u09b8"+
-    "\2\u09b6\1\u09b9\1\u09ba\1\u09f3\1\u09bb\1\u09bc\1\u09a4\1\u09a5"+
-    "\1\u09ac\1\u0269\1\u09bd\1\u09be\1\u1516\1\u1517\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09af\1\106\1\u016a\1\11\1\u09b6\1\u09af"+
-    "\1\u09bb\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09b5\1\u0268"+
-    "\1\u09b6\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u09f4"+
-    "\1\u09bb\1\u09bc\1\u09a4\1\u09a5\1\u09a6\1\u0269\1\u09bd\1\u09be"+
-    "\1\u1516\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106"+
-    "\1\u016a\1\11\1\u09b6\1\u09aa\1\u09bb\1\11\1\106\1\u09b1"+
-    "\1\u096b\1\u0266\1\u09b5\1\u0268\1\u09b6\1\u09b7\1\u0269\1\u09b8"+
-    "\2\u09b6\1\u09b9\1\u09ba\1\u09b6\1\u09bb\1\u09bc\1\u09a4\1\u09a5"+
-    "\1\u09f5\1\u0269\1\u09bd\1\u09be\1\u1518\1\u0a57\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u09b6\1\u09b4"+
-    "\1\u09bb\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u154f\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u0993\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09ed"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u1515\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09b5\1\u0268"+
-    "\1\u09f0\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09f1\1\u09f2"+
-    "\1\u09bb\1\u09bc\1\u09a4\1\u09a5\1\u09a6\1\u0269\1\u09bd\1\u09be"+
-    "\1\u09a7\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106"+
-    "\1\u016a\1\11\1\u09f0\1\u09aa\1\u09bb\1\11\1\106\1\u0265"+
-    "\1\u096b\1\u0266\1\u09b5\1\u0268\1\u09b6\1\u09b7\1\u0269\1\u09b8"+
-    "\2\u09b6\1\u09b9\1\u09ba\1\u09f3\1\u09bb\1\u09bc\1\u09a4\1\u09a5"+
-    "\1\u09ac\1\u0269\1\u09bd\1\u09be\1\u1516\1\u1517\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u1550\1\106\1\u016a\1\11\1\u09b6\1\u1550"+
-    "\1\u09bb\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09b5\1\u0268"+
-    "\1\u09b6\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u09b6"+
-    "\1\u09bb\1\u09bc\1\u09a4\1\u09a5\1\u09b2\1\u0269\1\u09bd\1\u09be"+
-    "\1\u1518\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106"+
-    "\1\u016a\1\11\1\u09b6\1\u09b4\1\u09bb\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u0e40"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u096a\1\u096b\1\u0266\1\u09b5\1\u0268"+
-    "\1\u09b6\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u09b6"+
-    "\1\u09bb\1\u09bc\1\u09a4\1\u0272\1\u09a6\1\u0269\1\u09bd\1\u09be"+
-    "\1\u0970\1\u0971\1\u0972\1\0\1\u0263\1\0\1\u0973\1\106"+
-    "\1\u016a\1\11\1\u09b6\1\u0973\1\u09bb\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09ed"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u1551\1\106\1\u016a\1\11\1\u09c2\1\u1551"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u1526\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u1525\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0994\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u1527\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1528\1\u1525\1\u0996\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u1527\1\u1525\1\u0996\1\0\1\u0263\1\0\1\u0997\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u0997\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1529\1\u1525\1\u0996\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u0da5\2\u09c2\1\u09c6\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u0da6\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u1527\1\u1525\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u099b"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u1525\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u1527\1\u152a\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1514\1\u1525\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976"+
-    "\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984"+
-    "\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a"+
-    "\1\u1552\1\u1525\1\u098d\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982"+
-    "\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c"+
-    "\1\u0988\1\u0254\1\u0989\1\u098a\1\u1553\1\u1525\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980";
-
-  private static final String ZZ_TRANS_PACKED_4 =
-    "\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f"+
-    "\1\u0976\1\u0980\1\u0981\1\u0254\1\u0991\2\u0980\1\u0977\1\u0983"+
-    "\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0992\1\u0254\1\u0989"+
-    "\1\u098a\1\u1554\1\u098c\1\u151b\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254"+
-    "\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987"+
-    "\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1555\1\u1525\1\u0990"+
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-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u1823\1\u09c5\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\1\u09c2\1\u1590\1\u09c6\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u174a\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u1824\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u1825\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u0d97\1\u09ce\1\u09cf\1\u0993\1\u1826\1\u1827\1\0"+
-    "\1\u0263\1\0\1\u0997\1\106\1\u016a\1\11\1\u09c2\1\u0997"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u1828\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u1829\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u0998\1\u098c\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u182a\1\u09c3\1\u182b\1\u09c5"+
-    "\1\u09c2\1\u1818\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb"+
-    "\1\u182c\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u1525\1\u0990"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u182a"+
-    "\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7"+
-    "\1\u09c8\1\u09c9\1\u09ca\1\u1597\1\u0e40\1\u09cd\1\u09c4\1\u09ce"+
-    "\1\u09cf\1\u098f\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u182d"+
-    "\1\106\1\u016a\1\11\1\u09c2\1\u182d\1\u09c9\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u182e\1\u09c2\1\u09c3\1\u09c4"+
-    "\1\u182f\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb"+
-    "\1\u09cc\1\u1598\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990"+
-    "\1\0\1\u0263\1\0\1\u1551\1\106\1\u016a\1\11\1\u09c2"+
-    "\1\u1551\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7"+
-    "\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u1590\1\u09ce"+
-    "\1\u09cf\1\u0dd2\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u1590\1\u09c3\1\u09c4"+
-    "\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb"+
-    "\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990"+
-    "\1\0\1\u0263\1\0\1\u1830\1\106\1\u016a\1\11\1\u1590"+
-    "\1\u1830\1\u09c9\1\11\1\106\1\u0d9b\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\1\u1590\1\u09c2\1\u09c6"+
-    "\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4"+
-    "\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c2\1\u09c5\1\u09c2\1\u1665\1\u09c6\1\u09c7\1\u1594\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527"+
-    "\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2"+
-    "\1\u09e8\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd"+
-    "\1\u09c4\1\u1599\1\u09cf\1\u1696\1\u152a\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09b5\1\u0268\1\u09b6"+
-    "\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u17eb\1\u09bb"+
-    "\1\u09bc\1\u09a4\1\u09a5\1\u09f5\1\u0269\1\u09bd\1\u09be\1\u1518"+
-    "\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a"+
-    "\1\11\1\u09b6\1\u09b4\1\u09bb\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\1\u1831"+
-    "\1\u09c2\1\u09c6\1\u1593\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0998\1\u098c\1\u0996\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u15b8\1\u09c5\1\u09c2\1\u0df9\1\u09c6\1\u09c7"+
-    "\1\u1594\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce"+
-    "\1\u09cf\1\u0993\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4"+
-    "\1\u09ed\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb"+
-    "\1\u09cc\1\u1832\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u099f\1\u0990"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2"+
-    "\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u1590\1\u09c3\1\u09c4\1\u1833\2\u09c2\1\u09c6\1\u09c7"+
-    "\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce"+
-    "\1\u09cf\1\u0993\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u1590\1\u098e\1\u09c9\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09b5\1\u0268\1\u09b6\1\u09b7\1\u0269"+
-    "\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u1834\1\u09bb\1\u09bc\1\u09a4"+
-    "\1\u09a5\1\u09ac\1\u0269\1\u09bd\1\u09be\1\u1516\1\u1517\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a\1\11\1\u09b6"+
-    "\1\u09af\1\u09bb\1\11\1\106\1\u1835\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u158f\1\u09c2\1\u09c3\1\u09c4\1\u09d1\1\u09c2\1\u1836\1\u09c6"+
-    "\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09d2\1\u09c4"+
-    "\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u09c5\1\u09c2\1\u1590\1\u09c6\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u179d"+
-    "\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u0da5\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u09c8\1\u15ac\1\u09ca\1\u0da6\1\u09cc\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u1525\1\u0996\1\0\1\u0263"+
-    "\1\0\1\u1837\1\106\1\u016a\1\11\1\u09c2\1\u1837\1\u15ac"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u1590\1\u09ce\1\u09cf\1\u0993"+
-    "\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u1837\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u1837\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u1590\1\u09c3\1\u09c4\1\u09c5\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u1838\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u1590\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\1\u09c2\1\u1590\1\u09c6\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u1839\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u0993\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u09c6\1\u1593\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0998\1\u099f\1\u0996\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u183a\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u1597\1\u0e40\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u098f\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0a08"+
-    "\1\u027c\1\u0a0f\1\u0a10\1\u0a0a\1\u0a11\1\u0a12\1\u0280\1\u0a13"+
-    "\2\u0a11\1\u0283\1\u0a14\1\u0a11\1\u0a15\1\u0a16\1\u0a17\1\u0288"+
-    "\1\u0a18\1\u0280\1\u0a19\1\u0a1a\1\u0a23\1\u183b\1\u0a26\1\0"+
-    "\1\u0263\1\0\1\u0a27\1\106\1\u016a\1\11\1\u0a11\1\u0a27"+
-    "\1\u0a15\1\11\1\106\1\u0a08\1\u027c\1\u0a0f\1\u0a10\1\u0a0a"+
-    "\1\u0a11\1\u0a12\1\u0280\1\u0a13\2\u0a11\1\u0a2c\1\u0a14\1\u0a11"+
-    "\1\u0a15\1\u0a16\1\u0a17\1\u0288\1\u0a18\1\u0280\1\u0a19\1\u0a1a"+
-    "\1\u0a1f\1\u183c\1\u0a20\1\0\1\u0263\1\0\1\u0a1e\1\106"+
-    "\1\u016a\1\11\1\u0a11\1\u0a1e\1\u0a15\1\11\1\106\1\u09b1"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u0d14\1\u09fe\1\u09ff\1\u151a\1\u0a35\1\u0a02\1\u0a03"+
-    "\1\u09a5\1\u0a3f\1\u0a05\1\u0a06\1\u0a07\1\u09b3\1\u09a8\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u09f8"+
-    "\1\u09b4\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u0a50\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u09fe"+
-    "\1\u0a33\1\u151f\1\u183d\1\u0a02\1\u0a36\1\u09a5\1\u0a04\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09aa\1\106\1\u016a\1\11\1\u0a50\1\u09aa\1\u183d\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u0a50\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u183e\1\u0a33\1\u151f\1\u0a35"+
-    "\1\u0a02\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u183f\1\u0a07\1\u0c6b"+
-    "\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a"+
-    "\1\11\1\u0a50\1\u09aa\1\u0a35\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09f6\1\u1840\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u09fe\1\u09ff\1\u15b2\1\u0a35\1\u0a02\1\u0a03";
-
-  private static final String ZZ_TRANS_PACKED_5 =
-    "\1\u09a5\1\u0a3a\1\u0d76\1\u0a06\1\u0a07\1\u1523\1\u09ae\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a\1\11\1\u09f8"+
-    "\1\u09af\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u1841"+
-    "\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u09fe"+
-    "\1\u09ff\1\u1524\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a04\1\u0a05"+
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-    "\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c"+
-    "\1\u0988\1\u0254\1\u0989\1\u098a\1\u1b14\1\u1b15\1\u1b16\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e"+
-    "\1\u0985\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u1b17"+
-    "\1\u151a\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a3f\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u09b3\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4"+
-    "\1\106\1\u016a\1\11\1\u09f8\1\u09b4\1\u0a35\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254"+
-    "\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987"+
-    "\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1556\1\u1545\1\u1546"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980"+
-    "\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f"+
-    "\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983"+
-    "\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989"+
-    "\1\u098a\1\u1553\1\u1525\1\u1547\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u1b18\1\u1b19\1\u09f9\1\u1b1a"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u152c\1\u0a35\1\u0a02"+
-    "\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06\1\u0a07\1\u1523\1\u09ae"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a\1\11"+
-    "\1\u1b19\1\u09af\1\u0a35\1\11\1\106\1\u0c87\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u09ff\1\u151a\1\u0a35\1\u0a02\1\u0a03\1\u096f\1\u0a04"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u1548\1\u1b1b\1\u0c8a\1\0\1\u0263"+
-    "\1\0\1\u1b1c\1\106\1\u016a\1\11\1\u09f8\1\u1b1c\1\u0a35"+
-    "\1\11\1\106\1\u0974\1\u096b\1\u0975\1\u0252\1\u0976\1\u0254"+
-    "\1\u0255\1\u0254\1\u0256\2\u0254\1\u0977\1\u0258\1\u0978\1\u0259"+
-    "\1\u025a\1\u025b\1\u1b1d\1\u0979\1\u0254\1\u025e\1\u025f\1\u097a"+
-    "\1\u097b\1\u097c\1\0\1\u0263\1\0\1\u097d\1\106\1\u016a"+
-    "\1\11\1\u0254\1\u097d\1\u0259\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u1554\1\u098c\1\u0d91\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1553"+
-    "\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u1b1e\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u1b1e\1\u0985\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0991\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0992"+
-    "\1\u0254\1\u0989\1\u098a\1\u1554\1\u098c\1\u151b\1\0\1\u0263"+
-    "\1\0\1\u1b1f\1\106\1\u016a\1\11\1\u0980\1\u1b1f\1\u0985"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0256\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1555"+
-    "\1\u1525\1\u151b\1\0\1\u0263\1\0\1\u1b20\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u1b20\1\u0985\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u158a\1\u098c\1\u1b21\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u0a32"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u151f"+
-    "\1\u0a35\1\u0a02\1\u1b22\1\u09a5\1\u1520\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106"+
-    "\1\u016a\1\11\1\u0a32\1\u09aa\1\u0a35\1\11\1\106\1\u15eb"+
-    "\1\u15ec\1\u15ed\1\u15ee\1\u15ef\1\u15f0\1\u15f1\1\u15f0\1\u15f2"+
-    "\2\u15f0\1\u15f3\1\u15f4\1\u15f0\1\u15f5\1\u15f6\1\u15f7\1\u15f8"+
-    "\1\u15f9\1\u15f0\1\u15fa\1\u15fb\1\u1b23\1\u15fd\1\u15fe\1\0"+
-    "\1\u0263\1\0\1\u15ff\1\106\1\u016a\1\11\1\u15f0\1\u15ff"+
-    "\1\u15f5\1\11\1\106\1\u15eb\1\u1600\1\u1601\1\u1602\1\u15ef"+
-    "\1\u1603\1\u1604\1\u15f0\1\u1605\2\u1603\1\u15f3\1\u1606\1\u1603"+
-    "\1\u1607\1\u1608\1\u1609\1\u15f8\1\u160a\1\u15f0\1\u160b\1\u160c"+
-    "\1\u1b24\1\u163b\1\u160f\1\0\1\u0263\1\0\1\u1610\1\106"+
-    "\1\u016a\1\11\1\u1603\1\u1610\1\u1607\1\11\1\106\1\u15eb"+
-    "\1\u1600\1\u1601\1\u1602\1\u15ef\1\u1603\1\u1604\1\u15f0\1\u1605"+
-    "\2\u1603\1\u15f3\1\u1606\1\u1603\1\u1607\1\u1608\1\u1609\1\u15f8"+
-    "\1\u160a\1\u15f0\1\u160b\1\u160c\1\u1b25\1\u163b\1\u1613\1\0"+
-    "\1\u0263\1\0\1\u1610\1\106\1\u016a\1\11\1\u1603\1\u1610"+
-    "\1\u1607\1\11\1\106\1\u161c\1\u1600\1\u1601\1\u1602\1\u15ef"+
-    "\1\u1603\1\u1604\1\u15f0\1\u1615\2\u1603\1\u15f3\1\u1606\1\u1603"+
-    "\1\u1607\1\u1608\1\u1b26\1\u15f8\1\u160a\1\u15f0\1\u160b\1\u160c"+
-    "\1\u1b27\1\u1983\1\u1613\1\0\1\u0263\1\0\1\u1610\1\106"+
-    "\1\u016a\1\11\1\u1603\1\u1610\1\u1607\1\11\1\106\1\u15eb"+
-    "\1\u1600\1\u1601\1\u1602\1\u15ef\1\u1603\1\u1604\1\u15f0\1\u1605"+
-    "\2\u1603\1\u15f3\1\u1606\1\u1603\1\u1607\1\u1608\1\u1609\1\u15f8"+
-    "\1\u160a\1\u15f0\1\u160b\1\u160c\1\u1b28\1\u163b\1\u1613\1\0"+
-    "\1\u0263\1\0\1\u1610\1\106\1\u016a\1\11\1\u1603\1\u1610"+
-    "\1\u1607\1\11\1\106\1\u161c\1\u1600\1\u1601\1\u1602\1\u15ef"+
-    "\1\u1603\1\u1604\1\u15f0\1\u1605\2\u1603\1\u15f3\1\u1606\1\u1603"+
-    "\1\u1607\1\u1608\1\u1609\1\u15f8\1\u160a\1\u15f0\1\u160b\1\u160c"+
-    "\1\u1b28\1\u163b\1\u1613\1\0\1\u0263\1\0\1\u1610\1\106"+
-    "\1\u016a\1\11\1\u1603\1\u1610\1\u1607\1\11\1\106\1\u15eb"+
-    "\1\u1600\1\u1601\1\u1602\1\u15ef\1\u1603\1\u1604\1\u15f0\1\u1605"+
-    "\2\u1603\1\u15f3\1\u1606\1\u1603\1\u1607\1\u1608\1\u1609\1\u15f8"+
-    "\1\u160a\1\u15f0\1\u160b\1\u160c\1\u1b27\1\u160e\1\u1613\1\0"+
-    "\1\u0263\1\0\1\u1610\1\106\1\u016a\1\11\1\u1603\1\u1610"+
-    "\1\u1607\1\11\1\106\1\u15eb\1\u1600\1\u1601\1\u1602\1\u15ef"+
-    "\1\u1603\1\u1604\1\u15f0\1\u1605\2\u1603\1\u15f3\1\u1606\1\u1603"+
-    "\1\u1607\1\u1608\1\u1609\1\u15f8\1\u160a\1\u15f0\1\u160b\1\u160c"+
-    "\1\u1b29\1\u163b\1\u1632\1\0\1\u0263\1\0\1\u1610\1\106"+
-    "\1\u016a\1\11\1\u1603\1\u1610\1\u1607\1\11\1\106\1\u15eb"+
-    "\1\u1600\1\u1601\1\u1602\1\u15ef\1\u1603\1\u1604\1\u15f0\1\u1605"+
-    "\2\u1603\1\u15f3\1\u1606\1\u1603\1\u1607\1\u1608\1\u1609\1\u15f8"+
-    "\1\u160a\1\u15f0\1\u160b\1\u160c\1\u1b27\1\u160e\1\u1632\1\0"+
-    "\1\u0263\1\0\1\u162e\1\106\1\u016a\1\11\1\u1603\1\u162e"+
-    "\1\u1607\1\11\1\106\1\u15eb\1\u1600\1\u1601\1\u1602\1\u15ef"+
-    "\1\u1603\1\u1604\1\u15f0\1\u1605\2\u1603\1\u15f3\1\u1606\1\u1603"+
-    "\1\u1607\1\u1608\1\u1609\1\u15f8\1\u160a\1\u15f0\1\u160b\1\u160c"+
-    "\1\u1b2a\1\u1b2b\1\u1632\1\0\1\u0263\1\0\1\u1610\1\106"+
-    "\1\u016a\1\11\1\u1603\1\u1610\1\u1607\1\11\1\106\1\u1b2c"+
-    "\1\u1600\1\u1601\1\u1602\1\u15ef\1\u1603\1\u1604\1\u15f0\1\u1637"+
-    "\2\u1603\1\u15f3\1\u1606\1\u1603\1\u1607\1\u1608\1\u1639\1\u15f8"+
-    "\1\u160a\1\u15f0\1\u160b\1\u160c\1\u1b2d\1\u163b\1\u1632\1\0"+
-    "\1\u0263\1\0\1\u1b2e\1\106\1\u016a\1\11\1\u1603\1\u1b2e"+
-    "\1\u1607\1\11\1\106\1\u199a\1\u1600\1\u1601\1\u1602\1\u15ef"+
-    "\1\u1603\1\u1604\1\u15f0\1\u1605\2\u1603\1\u15f3\1\u1606\1\u1603"+
-    "\1\u1607\1\u1608\1\u1609\1\u15f8\1\u160a\1\u15f0\1\u160b\1\u160c"+
-    "\1\u1b28\1\u163b\1\u1613\1\0\1\u0263\1\0\1\u1610\1\106"+
-    "\1\u016a\1\11\1\u1603\1\u1610\1\u1607\1\11\1\106\1\u15eb"+
-    "\1\u1600\1\u1601\1\u1602\1\u15ef\1\u1603\1\u1604\1\u15f0\1\u1605"+
-    "\2\u1603\1\u163e\1\u1606\1\u1603\1\u1607\1\u1608\1\u1609\1\u15f8"+
-    "\1\u160a\1\u15f0\1\u160b\1\u160c\1\u1b25\1\u163b\1\u1644\1\0"+
-    "\1\u0263\1\0\1\u1610\1\106\1\u016a\1\11\1\u1603\1\u1610"+
-    "\1\u1607\1\11\1\106\1\u15eb\1\u1600\1\u1601\1\u1602\1\u15ef"+
-    "\1\u1603\1\u1604\1\u15f0\1\u1645\2\u1603\1\u15f3\1\u1606\1\u1603"+
-    "\1\u1607\1\u1608\1\u1609\1\u1647\1\u160a\1\u15f0\1\u160b\1\u160c"+
-    "\1\u1b2f\1\u164a\1\u1613\1\0\1\u0263\1\0\1\u1610\1\106"+
-    "\1\u0664\1\11\1\u1603\1\u1610\1\u1607\1\11\1\106\1\u15eb"+
-    "\1\u1600\1\u1601\1\u1602\1\u15ef\1\u1603\1\u1604\1\u15f0\1\u15f2"+
-    "\2\u1603\1\u15f3\1\u1606\1\u1603\1\u1607\1\u1608\1\u1b30\1\u15f8"+
-    "\1\u160a\1\u15f0\1\u160b\1\u160c\1\u1b31\1\u163b\1\u1613\1\0"+
-    "\1\u0263\1\0\1\u1610\1\106\1\u016a\1\11\1\u1603\1\u1610"+
-    "\1\u1607\1\11\1\106\1\u15eb\1\u1600\1\u1601\1\u1602\1\u15ef"+
-    "\1\u1603\1\u1604\1\u15f0\1\u1605\2\u1603\1\u163e\1\u1606\1\u1603"+
-    "\1\u1607\1\u1608\1\u1609\1\u15f8\1\u160a\1\u15f0\1\u160b\1\u160c"+
-    "\1\u1b28\1\u1653\1\u1613\1\0\1\u0263\1\0\1\u1610\1\106"+
-    "\1\u016a\1\11\1\u1603\1\u1610\1\u1607\1\11\1\106\1\u15eb"+
-    "\1\u1600\1\u1601\1\u1602\1\u15ef\1\u1603\1\u1604\1\u15f0\1\u1605"+
-    "\2\u1603\1\u15f3\1\u1606\1\u1603\1\u1607\1\u1608\1\u1609\1\u15f8"+
-    "\1\u160a\1\u15f0\1\u160b\1\u160c\1\u1b24\1\u163b\1\u1613\1\0"+
-    "\1\u0263\1\0\1\u1610\1\106\1\u016a\1\11\1\u1603\1\u1610"+
-    "\1\u1607\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u0a32\1\u09f9\1\u1b32\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33"+
-    "\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u152b\1\u1520\1\u0a05\1\u0a06"+
-    "\1\u1b33\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09aa"+
-    "\1\106\1\u016a\1\11\1\u0a32\1\u09aa\1\u0a35\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u1b34\1\u0a35\1\u0a02"+
-    "\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06\1\u0a07\1\u1523\1\u09ae"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u09af\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u09ff\1\u1524\1\u0a35\1\u0a02\1\u0a36\1\u1b35\1\u0a04"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u0a56\1\u0a57\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09aa\1\106\1\u016a\1\11\1\u09f8\1\u09aa\1\u0a35"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09e9\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb";
-
-  private static final String ZZ_TRANS_PACKED_6 =
-    "\1\u09ea\1\u1b36\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u099f\1\u0990"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u0664\1\11\1\u09c2"+
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-    "\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03cc\2\u03b6\1\u03ad\1\u03b8"+
-    "\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\u03cd\1\u03bd\1\171\1\u03be"+
-    "\1\u03b4\1\u1d4e\1\u03ce\1\u03c1\1\0\1\45\1\0\1\u03c2"+
-    "\1\12\2\11\1\u03b6\1\u03c2\1\u03ba\1\11\1\12\1\u03aa"+
-    "\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\u1d4f"+
-    "\2\u03b6\1\u03ad\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177"+
-    "\1\u03c5\1\171\1\u03be\1\u03b4\1\u0eb0\1\u03c0\1\u0e87\1\0"+
-    "\1\45\1\0\1\u03c2\1\12\2\11\1\u03b6\1\u03c2\1\u03ba"+
-    "\1\11\1\12\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5"+
-    "\1\u03e6\1\u1c08\1\u03e8\2\u03e5\1\u03e9\1\u03e8\1\u03ea\1\u03eb"+
-    "\1\u03ec\1\u03ed\1\u03ee\1\u1d50\1\u03e7\1\u03f0\1\u03e2\1\u0e90"+
-    "\1\u0653\1\u03c1\1\0\1\45\1\0\1\u03c2\1\12\2\11"+
-    "\1\u03e5\1\u03c2\1\u03eb\1\11\1\12\1\u03aa\1\165\1\u03e2"+
-    "\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e7\1\u03e8\2\u03e5\1\u0406"+
-    "\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed\1\u03ee\1\u0ff3\1\u03e7"+
-    "\1\u03f0\1\u03e2\1\u03c6\1\u03c0\1\u03c8\1\0\1\45\1\0"+
-    "\1\u03c2\1\12\2\11\1\u03e5\1\u03c2\1\u03eb\1\11\1\12"+
-    "\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171"+
-    "\1\u03b8\2\u03b6\1\u03ad\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc"+
-    "\1\177\1\u03bd\1\171\1\u03be\1\u03b4\1\u1d51\1\u0653\1\u0e8a"+
-    "\1\0\1\45\1\0\1\u03c2\1\12\2\11\1\u03b6\1\u03c2"+
-    "\1\u03ba\1\11\1\12\1\206\1\u03a3\1\207\1\210\1\211"+
-    "\1\212\1\213\1\212\1\214\2\212\2\214\1\u1d52\1\u0132"+
-    "\1\217\1\u03a4\1\u0142\1\u03d1\1\212\1\223\1\224\1\u03d7"+
-    "\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8\1\12\2\11"+
-    "\1\212\1\u03d8\1\u0132\1\11\1\12\1\u03aa\1\165\1\u03b4"+
-    "\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8\2\u03b6\1\u03ad"+
-    "\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177\1\u03bd\1\171"+
-    "\1\u03be\1\u03b4\1\u1d53\1\u0efb\1\u03c1\1\0\1\45\1\0"+
-    "\1\u03c2\1\12\2\11\1\u03b6\1\u03c2\1\u03ba\1\11\1\12"+
-    "\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e7"+
-    "\1\u03e8\2\u03e5\1\u03e9\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed"+
-    "\1\u03ee\1\u1d54\1\u03e7\1\u03f0\1\u03e2\1\u0e90\1\u0653\1\u03c1"+
-    "\1\0\1\45\1\0\1\u03c2\1\12\2\11\1\u03e5\1\u03c2"+
-    "\1\u03eb\1\11\1\12\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4"+
-    "\1\u03e5\1\u03e6\1\u03e7\1\u03e8\2\u03e5\1\u03e9\1\u03e8\1\u03ea"+
-    "\1\u03eb\1\u03ec\1\u0608\1\u03ee\1\u1d55\1\u03e7\1\u03f0\1\u03e2"+
-    "\1\u0e90\1\u0653\1\u03c8\1\0\1\45\1\0\1\u03c2\1\12"+
-    "\2\11\1\u03e5\1\u03c2\1\u03eb\1\11\1\12\1\u03aa\1\165"+
-    "\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e7\1\u03e8\2\u03e5"+
-    "\1\u0406\1\u03e8\1\u0f01\1\u03eb\1\u03ec\1\u03ed\1\u0e82\1\u03ef";
-
-  private static final String ZZ_TRANS_PACKED_7 =
-    "\1\u03e7\1\u03f0\1\u03e2\1\u0e8f\1\u0653\1\u03c1\1\0\1\45"+
-    "\1\0\1\u03c2\1\12\2\11\1\u03e5\1\u03c2\1\u03eb\1\11"+
-    "\1\12\1\206\1\u03a3\1\u0e93\1\u0e94\1\u0e95\1\u0e96\1\u0e97"+
-    "\1\u0e98\1\u0e99\1\u0e9a\1\u0e9b\1\u1d56\1\u0e9d\1\u0e9e\1\u0e9f"+
-    "\1\u0ea0\1\u0ea1\1\u0ea2\1\u0ea3\1\u0ea4\1\u0ea5\1\u0ea6\1\u03d2"+
-    "\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d5\1\12\2\11"+
-    "\1\u0e96\1\u03d5\1\u0e9f\1\11\1\12\1\206\1\u03a3\1\207"+
-    "\1\u040f\1\u0410\1\u0442\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416"+
-    "\1\u0e85\1\u0418\1\u0e8e\1\u041a\1\u041b\1\u0443\1\u0142\1\u0e8b"+
-    "\1\u041e\1\u041f\1\u0420\1\u03d2\1\u03d3\1\u03d4\1\0\1\45"+
-    "\1\0\1\u03d5\1\12\2\11\1\u0442\1\u03d5\1\u041a\1\11"+
-    "\1\12\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6"+
-    "\1\u03e7\1\u03e8\2\u03e5\1\u0406\1\u03e8\1\u03ea\1\u03eb\1\u03ec"+
-    "\1\u03ed\1\u0e82\1\u03ef\1\u03e7\1\u03f0\1\u03e2\1\u1d57\1\u0653"+
-    "\1\u03c1\1\0\1\45\1\0\1\u03c2\1\12\2\11\1\u03e5"+
-    "\1\u03c2\1\u03eb\1\11\1\12\1\u03aa\1\u03a3\1\u03ab\1\167"+
-    "\1\u03ac\1\171\1\u1d58\1\171\1\173\2\171\1\u03ad\1\173"+
-    "\1\u03ae\1\174\1\175\1\176\1\177\1\u03af\1\171\1\201"+
-    "\1\166\1\u03b0\1\u03b1\1\u03b2\1\0\1\45\1\0\1\u03b3"+
-    "\1\12\2\11\1\171\1\u03b3\1\174\1\11\1\12\1\206"+
-    "\1\u03a3\1\207\1\u040f\1\u0410\1\u0442\1\u0412\1\u0413\1\u0414"+
-    "\1\u0415\1\u0416\1\u0e85\1\u0418\1\u1d59\1\u041a\1\u041b\1\u0443"+
-    "\1\u0142\1\u0e8b\1\u041e\1\u041f\1\u0420\1\u03d2\1\u03d3\1\u03d4"+
-    "\1\0\1\45\1\0\1\u03d5\1\12\2\11\1\u0442\1\u03d5"+
-    "\1\u041a\1\11\1\12\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac"+
-    "\1\u03b6\1\u1d5a\1\171\1\u03b8\2\u03b6\1\u03ad\1\u03b8\1\u03b9"+
-    "\1\u03ba\1\u03bb\1\u03bc\1\u1d5b\1\u03bd\1\171\1\u03be\1\u03b4"+
-    "\1\u0eb1\1\u0653\1\u03c1\1\0\1\45\1\0\1\u03c2\1\12"+
-    "\2\11\1\u03b6\1\u03c2\1\u03ba\1\11\1\12\1\u03aa\1\165"+
-    "\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03cc\2\u03b6"+
-    "\1\u03ad\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\u03cd\1\u03bd"+
-    "\1\171\1\u03be\1\u03b4\1\u0eae\1\u0e83\1\u0ef9\1\0\1\45"+
-    "\1\0\1\u03c2\1\12\2\11\1\u03b6\1\u03c2\1\u03ba\1\11"+
-    "\1\12\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7"+
-    "\1\171\1\173\2\u03b6\1\u03ad\1\u03b8\1\u03b9\1\u03ba\1\u03bb"+
-    "\1\u03bc\1\177\1\u03bd\1\171\1\u03be\1\u03b4\1\u0eb1\1\u1d5c"+
-    "\1\u0e87\1\0\1\45\1\0\1\u03c2\1\12\2\11\1\u03b6"+
-    "\1\u03c2\1\u03ba\1\11\1\12\1\u1194\1\165\1\u03b4\1\u03b5"+
-    "\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8\2\u03b6\1\u03ad\1\u03b8"+
-    "\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177\1\u03bd\1\171\1\u03be"+
-    "\1\u03b4\1\u0eb1\1\u0653\1\u03c8\1\0\1\45\1\0\1\u03c2"+
-    "\1\12\2\11\1\u03b6\1\u03c2\1\u03ba\1\11\1\12\1\u03aa"+
-    "\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8"+
-    "\2\u03b6\1\u03ad\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177"+
-    "\1\u1d5d\1\171\1\u03be\1\u03b4\1\u0eb1\1\u0653\1\u03c8\1\0"+
-    "\1\45\1\0\1\u03c2\1\12\2\11\1\u03b6\1\u03c2\1\u03ba"+
-    "\1\11\1\12\1\206\1\u03a3\1\207\1\u040f\1\u05bb\1\u0411"+
-    "\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u0e85\1\u0418\1\u0e92"+
-    "\1\u041a\1\u041b\1\u041c\1\u0142\1\u0e8b\1\u041e\1\u041f\1\u0420"+
-    "\1\u0e8d\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8\1\12"+
-    "\2\11\1\u0411\1\u03d8\1\u041a\1\11\1\12\1\u03a2\1\u03a3"+
-    "\1\207\1\u040f\1\u0410\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415"+
-    "\1\u0416\1\u0e85\1\u0418\1\u1d5e\1\u041a\1\u041b\1\u041c\1\221"+
-    "\1\u041d\1\u041e\1\u041f\1\u0420\1\u03a6\1\u03a7\1\u03a8\1\0"+
-    "\1\45\1\0\1\u03a9\1\12\2\11\1\u0411\1\u03a9\1\u041a"+
-    "\1\11\1\12\1\u0f17\1\u0f2a\1\u0f2b\1\u0f2c\1\u0f1b\1\u0f2d"+
-    "\1\u0f2e\1\u0f1c\1\u0f2f\2\u0f2d\1\u0f1e\1\u0f2f\1\u0f2d\1\u0f30"+
-    "\1\u0f31\1\u0f32\1\u0f22\1\u0f33\1\u0f1c\1\u0f34\1\u0f2b\1\u1d5f"+
-    "\1\u0f56\1\u0f37\1\0\1\45\1\0\1\u0f38\1\12\2\11"+
-    "\1\u0f2d\1\u0f38\1\u0f30\1\11\1\12\1\u0f17\1\u0f2a\1\u0f2b"+
-    "\1\u0f2c\1\u0f1b\1\u0f2d\1\u0f2e\1\u0f1c\1\u0f3c\2\u0f2d\1\u0f1e"+
-    "\1\u0f2f\1\u0f2d\1\u0f30\1\u0f31\1\u0f3d\1\u0f22\1\u0f33\1\u0f1c"+
-    "\1\u0f34\1\u0f2b\1\u1171\1\u0f36\1\u0f37\1\0\1\45\1\0"+
-    "\1\u1d60\1\12\2\11\1\u0f2d\1\u1d60\1\u0f30\1\11\1\12"+
-    "\1\u0f17\1\u0f2a\1\u0f2b\1\u0f2c\1\u0f1b\1\u0f2d\1\u0f2e\1\u0f1c"+
-    "\1\u0f2f\2\u0f2d\1\u0f1e\1\u0f2f\1\u0f2d\1\u0f30\1\u0f31\1\u0f32"+
-    "\1\u0f22\1\u0f33\1\u0f1c\1\u0f34\1\u0f2b\1\u1d61\1\u0f56\1\u0f37"+
-    "\1\0\1\45\1\0\1\u0f38\1\12\2\11\1\u0f2d\1\u0f38"+
-    "\1\u0f30\1\11\1\12\1\u0f17\1\u0f2a\1\u0f2b\1\u0f2c\1\u0f1b"+
-    "\1\u0f2d\1\u0f2e\1\u0f1c\1\u0f2f\2\u0f2d\1\u0f1e\1\u0f2f\1\u0f2d"+
-    "\1\u0f30\1\u0f31\1\u0f32\1\u0f22\1\u0f33\1\u0f1c\1\u0f34\1\u0f2b"+
-    "\1\u1171\1\u1d62\1\u0f37\1\0\1\45\1\0\1\u1d63\1\12"+
-    "\2\11\1\u0f2d\1\u1d63\1\u0f30\1\11\1\12\1\u0f17\1\u0f2a"+
-    "\1\u0f2b\1\u0f2c\1\u0f1b\1\u0f2d\1\u0f2e\1\u0f1c\1\u0f2f\2\u0f2d"+
-    "\1\u0f1e\1\u0f2f\1\u0f2d\1\u0f30\1\u0f31\1\u0f32\1\u0f22\1\u0f33"+
-    "\1\u0f1c\1\u0f34\1\u0f2b\1\u1d64\1\u1d65\1\u10b2\1\0\1\45"+
-    "\1\0\1\u0f38\1\12\2\11\1\u0f2d\1\u0f38\1\u0f30\1\11"+
-    "\1\12\1\u0f17\1\u0f2a\1\u0f2b\1\u0f2c\1\u0f1b\1\u0f2d\1\u0f2e"+
-    "\1\u0f1c\1\u0f2f\2\u0f2d\1\u0f1e\1\u0f2f\1\u0f2d\1\u0f30\1\u0f31"+
-    "\1\u0f32\1\u0f22\1\u0f33\1\u0f1c\1\u0f34\1\u0f2b\1\u1d66\1\u0f36"+
-    "\1\u0f53\1\0\1\45\1\0\1\u10b8\1\12\2\11\1\u0f2d"+
-    "\1\u10b8\1\u0f30\1\11\1\12\1\u0f17\1\u0f2a\1\u0f2b\1\u0f2c"+
-    "\1\u0f1b\1\u0f2d\1\u0f2e\1\u0f1c\1\u0f2f\2\u0f2d\1\u1d67\1\u0f2f"+
-    "\1\u0f2d\1\u0f30\1\u0f31\1\u0f58\1\u0f22\1\u0f33\1\u0f1c\1\u0f34"+
-    "\1\u0f2b\1\u1172\1\u0f56\1\u0f53\1\0\1\45\1\0\1\u0f38"+
-    "\1\12\2\11\1\u0f2d\1\u0f38\1\u0f30\1\11\1\12\1\u0f17"+
-    "\1\u0f2a\1\u0f2b\1\u0f2c\1\u0f1b\1\u0f2d\1\u0f2e\1\u0f1c\1\u0f2f"+
-    "\2\u0f2d\2\u0f2f\1\u0f2d\1\u0f30\1\u0f31\1\u0f32\1\u0f22\1\u0f33"+
-    "\1\u0f1c\1\u0f34\1\u0f2b\1\u1d68\1\u0f56\1\u0f60\1\0\1\45"+
-    "\1\0\1\u0f38\1\12\2\11\1\u0f2d\1\u0f38\1\u0f30\1\11"+
-    "\1\12\1\u0f17\1\u0f2a\1\u0f2b\1\u0f2c\1\u0f1b\1\u0f2d\1\u0f2e"+
-    "\1\u0f1c\1\u0f61\2\u0f2d\1\u0f1e\1\u0f2f\1\u0f2d\1\u1d69\1\u0f31"+
-    "\1\u0f32\1\u0f63\1\u0f33\1\u0f1c\1\u0f34\1\u0f2b\1\u116e\1\u1d6a"+
-    "\1\u0f37\1\0\1\45\1\0\1\u0f38\1\12\2\11\1\u0f2d"+
-    "\1\u0f38\1\u1d69\1\11\1\12\1\u0f17\1\u0f2a\1\u0f2b\1\u0f2c"+
-    "\1\u0f1b\1\u0f2d\1\u0f2e\1\u0f1c\1\u0f1e\2\u0f2d\1\u0f1e\1\u0f2f"+
-    "\1\u0f2d\1\u0f30\1\u0f31\1\u0f32\1\u0f22\1\u0f33\1\u0f1c\1\u0f34"+
-    "\1\u0f2b\1\u1172\1\u0f56\1\u0f6b\1\0\1\45\1\0\1\u0f6c"+
-    "\1\12\2\11\1\u0f2d\1\u0f6c\1\u0f30\1\11\1\12\1\206"+
-    "\1\u03a3\1\207\1\u040f\1\u0410\1\u0411\1\u0412\1\u0413\1\u0414"+
-    "\1\u0415\1\u0416\1\u0e85\1\u0418\1\u1179\1\u041a\1\u041b\1\u041c"+
-    "\1\u0150\1\u0e8b\1\u041e\1\u041f\1\u0420\1\u0e8d\1\u03d3\1\u03d4"+
-    "\1\0\1\45\1\0\1\u03d8\1\12\2\11\1\u0411\1\u03d8"+
-    "\1\u041a\1\11\1\12\1\u1d6b\1\u03a3\1\207\1\u03db\1\211"+
-    "\1\u03dc\1\u03dd\1\212\1\u03de\2\u03dc\2\u03de\1\u040e\1\u03df"+
-    "\1\u03e0\1\u03d0\1\u0142\1\u03d1\1\212\1\u03e1\1\u0153\1\u0e84"+
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-    "\2\u015b\1\u015f\1\u0160\1\u1f21\1\u0161\1\u015b\1\u0656\1\u0668"+
-    "\1\u066c\1\u015b\1\u0163\1\u0164\1\u066d\1\u0166\1\u0167\1\0"+
-    "\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169"+
-    "\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c"+
-    "\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b"+
-    "\1\u0161\1\u015b\1\u1f22\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165"+
-    "\1\u0658\1\u01e5\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a"+
-    "\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159"+
-    "\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b"+
-    "\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163"+
-    "\1\u0164\1\u0165\1\u0658\1\u1f23\1\0\1\u0168\1\0\1\u1f24"+
-    "\1\51\1\u016a\1\11\1\u015b\1\u1f24\1\u0161\1\11\1\51"+
-    "\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b"+
-    "\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162"+
-    "\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u1336\1\0\1\u0168"+
-    "\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161"+
-    "\1\11\1\51\1\u0158\1\u0159\1\u016b\1\u015b\1\u015c\1\u015b"+
-    "\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0666\1\u0667\1\u0161"+
-    "\1\u015b\1\u1f25\1\u0668\2\u015b\1\u0163\1\u0164\1\u021f\1\u0166"+
-    "\1\u0167\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11"+
-    "\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u065c\1\u0159\1\u016b"+
-    "\1\u015b\1\u1f26\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f"+
-    "\1\u0160\1\u0656\1\u0161\1\u015b\1\u0656\1\u0668\1\u1f27\1\u015b"+
-    "\1\u0163\1\u0164\1\u0659\1\u0166\1\u0167\1\0\1\u0168\1\0"+
-    "\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11"+
-    "\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d"+
-    "\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b"+
-    "\1\u0162\2\u015b\1\u0163\1\u0164\1\u1f28\1\u0658\1\u01e5\1\0"+
-    "\1\u0168\1\0\1\u0169\1\51\1\u016a";
-
-  private static final String ZZ_TRANS_PACKED_8 =
-    "\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159"+
-    "\1\u016b\1\u015b\1\u121b\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b"+
-    "\1\u015f\1\u0160\1\u015b\1\u0161\1\u015b\1\u0656\1\u0668\1\u0669"+
-    "\1\u015b\1\u0163\1\u0164\1\u11ad\1\u066a\1\u0167\1\0\1\u0168"+
-    "\1\0\1\u065f\1\51\1\u016a\1\11\1\u015b\1\u065f\1\u0161"+
-    "\1\11\1\51\1\u0158\1\u0159\1\u016b\1\u015b\1\u1f29\1\u015b"+
-    "\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161"+
-    "\1\u015b\1\u0656\1\u0668\1\u0669\1\u015b\1\u0163\1\u0164\1\u11ad"+
-    "\1\u066a\1\u0167\1\0\1\u0168\1\0\1\u07d7\1\51\1\u016a"+
-    "\1\11\1\u015b\1\u07d7\1\u0161\1\11\1\51\1\u0158\1\u0159"+
-    "\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u0661\2\u015b"+
-    "\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163"+
-    "\1\u0164\1\u129a\1\u0658\1\u065e\1\0\1\u0168\1\0\1\u0169"+
-    "\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51"+
-    "\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b"+
-    "\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162"+
-    "\2\u015b\1\u0163\1\u0164\1\u0165\1\u1f2a\1\u01e5\1\0\1\u0168"+
-    "\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161"+
-    "\1\11\1\51\1\u0158\1\u0159\1\u1f2b\1\u015b\1\u015c\1\u015b"+
-    "\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161"+
-    "\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5"+
-    "\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b"+
-    "\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u016b\1\u015b"+
-    "\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160"+
-    "\1\u0656\1\u0161\1\u015b\1\u0656\1\u0668\2\u015b\1\u0163\1\u0164"+
-    "\1\u0659\1\u1f2c\1\u0167\1\0\1\u0168\1\0\1\u0169\1\51"+
-    "\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158"+
-    "\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e"+
-    "\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\1\u1f2d\1\u015b\1\u0162"+
-    "\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5\1\0\1\u0168"+
-    "\1\0\1\u12c3\1\51\1\u016a\1\11\1\u015b\1\u12c3\1\u0161"+
-    "\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b"+
-    "\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161"+
-    "\2\u015b\1\u0668\1\u1f2e\1\u015b\1\u0163\1\u0164\1\u0165\1\u0658"+
-    "\1\u01e5\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11"+
-    "\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a"+
-    "\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f"+
-    "\1\u0160\1\u015b\1\u0161\1\u015b\1\u1f2f\1\u0162\2\u015b\1\u0163"+
-    "\1\u0164\1\u0165\1\u0658\1\u1f30\1\0\1\u0168\1\0\1\u0169"+
-    "\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161\31\0\1\u1367"+
-    "\13\0\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c"+
-    "\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b"+
-    "\1\u0161\2\u015b\1\u0668\2\u015b\1\u0163\1\u0164\1\u0165\1\u085d"+
-    "\1\u01e5\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11"+
-    "\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a"+
-    "\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u0662\2\u015b\1\u015f"+
-    "\1\u0160\1\u015b\1\u0161\2\u015b\1\u0657\2\u015b\1\u0163\1\u0164"+
-    "\1\u1f31\1\u0663\1\u01e5\1\0\1\u0168\1\0\1\u0169\1\51"+
-    "\1\u0664\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158"+
-    "\1\u0159\1\u016b\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e"+
-    "\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\1\u015b\1\u0656\1\u1f32"+
-    "\2\u015b\1\u0163\1\u0164\1\u0165\1\u0166\1\u0167\1\0\1\u0168"+
-    "\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161"+
-    "\1\11\1\51\1\u0158\1\u0159\1\u016b\1\u015b\1\u015c\1\u015b"+
-    "\1\u015d\1\u015b\1\u015e\2\u015b\1\u1507\1\u0160\1\u015b\1\u0161"+
-    "\1\u015b\1\u0656\1\u0668\1\u0669\1\u015b\1\u0163\1\u0164\1\u11ad"+
-    "\1\u066a\1\u0167\1\0\1\u0168\1\0\1\u065f\1\51\1\u016a"+
-    "\1\11\1\u015b\1\u065f\1\u0161\1\11\1\51\1\u0158\1\u0159"+
-    "\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u0662\2\u015b"+
-    "\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0657\2\u015b\1\u0163"+
-    "\1\u0164\1\u1f33\1\u0663\1\u01e5\1\0\1\u0168\1\0\1\u0169"+
-    "\1\51\1\u0664\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51"+
-    "\1\u0158\1\u0159\1\u016b\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b"+
-    "\1\u015e\2\u015b\1\u015f\1\u0666\1\u1f34\1\u0161\1\u015b\1\u0656"+
-    "\1\u0668\2\u015b\1\u0163\1\u0164\1\u021f\1\u0166\1\u0167\1\0"+
-    "\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169"+
-    "\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u016b\1\u015b\1\u015c"+
-    "\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0666\1\u0667"+
-    "\1\u0161\1\u015b\1\u0969\1\u0668\2\u015b\1\u0163\1\u0164\1\u021f"+
-    "\1\u0166\1\u0167\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a"+
-    "\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159"+
-    "\1\u016b\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b"+
-    "\1\u015f\1\u0160\1\u015b\1\u0161\1\u015b\1\u0656\1\u1306\1\u0669"+
-    "\1\u015b\1\u0163\1\u0164\1\u11ad\1\u066a\1\u0167\1\0\1\u0168"+
-    "\1\0\1\u065f\1\51\1\u016a\1\11\1\u015b\1\u065f\1\u0161"+
-    "\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b"+
-    "\1\u015d\1\u015b\1\u0661\2\u015b\1\u075a\1\u0160\1\u015b\1\u0161"+
-    "\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u065e"+
-    "\1\0\1\u1f35\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b"+
-    "\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u016b\1\u015b"+
-    "\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0666"+
-    "\1\u0667\1\u0161\1\u015b\1\u0656\1\u0668\2\u015b\1\u0163\1\u0164"+
-    "\1\u021f\1\u0166\1\u0167\1\0\1\u0168\1\0\1\u1ef2\1\51"+
-    "\1\u016a\1\11\1\u015b\1\u1ef2\1\u0161\1\11\1\51\1\u0158"+
-    "\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e"+
-    "\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b"+
-    "\1\u0163\1\u0164\1\u0165\1\u0166\1\u1f36\1\0\1\u0168\1\0"+
-    "\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11"+
-    "\1\51\1\u065c\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d"+
-    "\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u1f37\2\u015b"+
-    "\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5\1\0"+
-    "\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169"+
-    "\1\u1f37\1\11\1\51\1\u0158\1\u0159\1\u016b\1\u1f38\1\u015c"+
-    "\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b"+
-    "\1\u0161\1\u015b\1\u0656\1\u0668\1\u0669\1\u015b\1\u0163\1\u0164"+
-    "\1\u11ad\1\u066a\1\u0167\1\0\1\u0168\1\0\1\u065f\1\51"+
-    "\1\u016a\1\11\1\u015b\1\u065f\1\u0161\1\11\1\51\1\u0158"+
-    "\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e"+
-    "\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b"+
-    "\1\u0163\1\u0164\1\u1f39\1\u0658\1\u065e\1\0\1\u0168\1\0"+
-    "\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11"+
-    "\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u1f3a\1\u015b\1\u015d"+
-    "\1\u015b\1\u015e\2\u015b\1\u1f3b\1\u0160\1\u015b\1\u0161\2\u015b"+
-    "\1\u0162\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5\1\0"+
-    "\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169"+
-    "\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c"+
-    "\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b"+
-    "\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164\1\u1f3c\1\u0658"+
-    "\1\u01e5\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11"+
-    "\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u065c\1\u0159\1\u016b"+
-    "\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f"+
-    "\1\u0160\1\u015b\1\u0161\1\u015b\1\u0656\1\u0668\1\u066c\1\u015b"+
-    "\1\u0163\1\u0164\1\u066d\1\u0166\1\u0167\1\0\1\u1f3d\1\0"+
-    "\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11"+
-    "\1\51\1\u065c\1\u0159\1\u016b\1\u015b\1\u015c\1\u015b\1\u015d"+
-    "\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\1\u015b"+
-    "\1\u0656\1\u0162\1\u066c\1\u015b\1\u0163\1\u0164\1\u066d\1\u0166"+
-    "\1\u0167\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11"+
-    "\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a"+
-    "\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f"+
-    "\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164"+
-    "\1\u0165\1\u0658\1\u01e5\1\0\1\u0168\1\0\1\u1f3e\1\51"+
-    "\1\u016a\1\11\1\u015b\1\u1f3e\1\u0161\1\11\1\51\1\u0158"+
-    "\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e"+
-    "\2\u015b\1\u015f\1\u0160\1\u015b\1\u1f3f\2\u015b\1\u0162\2\u015b"+
-    "\1\u0163\1\u0164\1\u065d\1\u0658\1\u065e\1\0\1\u0168\1\0"+
-    "\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u1f3f\1\11"+
-    "\1\51\1\u0158\1\u0159\1\u1f40\1\u015b\1\u015c\1\u015b\1\u015d"+
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-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u0a32\1\u09f9\1\u09fa";
-
-  private static final String ZZ_TRANS_PACKED_9 =
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02"+
-    "\1\u0a36\1\u152b\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11"+
-    "\1\u0a32\1\u09b4\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u20df\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u152b\1\u1520"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09b4\1\106\1\u016a\1\11\1\u20df\1\u09b4\1\u0a35"+
-    "\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u151a"+
-    "\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a3f\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u210e\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09b4\1\u0a35\1\11\1\106\1\u0265"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u09fd\1\u1519\1\u210f\1\u1521\1\u0a35\1\u0a02\1\u0a03"+
-    "\1\u09a5\1\u1522\1\u0a05\1\u0a06\1\u0a07\1\u1523\1\u09ae\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a\1\11\1\u09f8"+
-    "\1\u09af\1\u0a35\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f"+
-    "\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983"+
-    "\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989"+
-    "\1\u098a\1\u2110\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u152e\1\u152f\1\u1530\1\u20de\1\u1532\1\u1533"+
-    "\1\u1534\1\u1535\1\u1536\1\u1537\1\u1538\1\u2111\1\u153a\1\u153b"+
-    "\1\u153c\1\u153d\1\u153e\1\u153f\1\u1540\1\u1541\1\u09a7\1\u09a8"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11"+
-    "\1\u20de\1\u09b4\1\u153a\1\11\1\106\1\u2112\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u09ff\1\u1524\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u0a04"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u0a56\1\u0a57\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09aa\1\106\1\u016a\1\11\1\u09f8\1\u09aa\1\u0a35"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u151c"+
-    "\1\u098c\1\u2113\1\0\1\u0263\1\0\1\u2114\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u2114\1\u0985\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u1bde\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u2115\1\u09a5"+
-    "\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u1bde\1\u09b4"+
-    "\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u2116\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff"+
-    "\1\u1521\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u1788\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u09af"+
-    "\1\106\1\u016a\1\11\1\u2116\1\u09af\1\u0a35\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u2117\1\u0a35\1\u0a02"+
-    "\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0a56\1\u0a57"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u09aa\1\u0a35\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u099c"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u1526\1\u1525\1\u2118\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u0b45\1\u09f8\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u1524\1\u0a35"+
-    "\1\u0a02\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0a56"+
-    "\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a"+
-    "\1\11\1\u09f8\1\u09aa\1\u0a35\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u1bde\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u0a33\1\u2119\1\u0a35\1\u0a02\1\u0a36\1\u09a5"+
-    "\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u1bde\1\u09b4"+
-    "\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u0a32\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33"+
-    "\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u211a"+
-    "\1\106\1\u016a\1\11\1\u0a32\1\u211a\1\u0a35\1\11\1\106"+
-    "\1\u09b1\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u151a\1\u0a35\1\u0a02"+
-    "\1\u0a03\1\u09a5\1\u0a3f\1\u0a05\1\u0a06\1\u0a07\1\u09b3\1\u0c86"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u09b4\1\u0a35\1\11\1\106\1\u09b1\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u0c27\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u09ff\1\u151a\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a3f"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u09b3\1\u09a8\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09b4\1\106\1\u016a\1\11\1\u0c27\1\u09b4\1\u0a35"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u196e\1\u09ff\1\u1524"+
-    "\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u0a04\1\u0cb4\1\u0a06\1\u0a07"+
-    "\1\u0a56\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09aa\1\u0a35\1\11\1\106\1\u09b1"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u151a\1\u0a35\1\u0a02\1\u0a03"+
-    "\1\u09a5\1\u0a3f\1\u0bdf\1\u0a06\1\u0a07\1\u09b3\1\u09a8\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u09f8"+
-    "\1\u09b4\1\u0a35\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f"+
-    "\1\u0976\1\u0980\1\u0981\1\u0254\1\u0991\2\u0980\1\u0977\1\u0983"+
-    "\1\u0984\1\u0985\1\u0986\1\u211b\1\u025c\1\u0992\1\u0254\1\u0989"+
-    "\1\u098a\1\u0993\1\u098c\1\u151b\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106"+
-    "\1\u211c\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254"+
-    "\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987"+
-    "\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u151c\1\u211d\1\u151d"+
-    "\1\0\1\u0263\1\0\1\u0997\1\106\1\u016a\1\11\1\u0980"+
-    "\1\u0997\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f"+
-    "\1\u0976\1\u0980\1\u0981\1\u0254\1\u0999\2\u0980\1\u0977\1\u0983"+
-    "\1\u0984\1\u0985\1\u0986\1\u099a\1\u025c\1\u0988\1\u0254\1\u0989"+
-    "\1\u098a\1\u1527\1\u1525\1\u211e\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106"+
-    "\1\u211f\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254"+
-    "\1\u0256\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u2120"+
-    "\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1527\1\u1525\1\u151b"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980"+
-    "\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f"+
-    "\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983"+
-    "\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989"+
-    "\1\u098a\1\u1527\1\u152a\1\u2121\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u0a32\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02"+
-    "\1\u0a36\1\u152b\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u2122\1\106\1\u016a\1\11"+
-    "\1\u0a32\1\u2122\1\u0a35\1\11\1\106\1\u0974\1\u096b\1\u0975"+
-    "\1\u0252\1\u0976\1\u0254\1\u0255\1\u0254\1\u0256\2\u0254\1\u0977"+
-    "\1\u0258\1\u0978\1\u0259\1\u025a\1\u025b\1\u025c\1\u0979\1\u0254"+
-    "\1\u025e\1\u025f\1\u097a\1\u2123\1\u097c\1\0\1\u0263\1\0"+
-    "\1\u097d\1\106\1\u016a\1\11\1\u0254\1\u097d\1\u0259\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u0995\1\u098c"+
-    "\1\u2124\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u099c"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u1526\1\u1525\1\u2125\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u1521\1\u0a35"+
-    "\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06\1\u0a07\1\u0d3c"+
-    "\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a"+
-    "\1\11\1\u09f8\1\u09af\1\u0a35\1\11\1\106\1\u0d48\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u09ff\1\u151a\1\u0a35\1\u0a02\1\u0a03\1\u09a5"+
-    "\1\u0a3f\1\u0a05\1\u0a06\1\u0a07\1\u09b3\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u09f8\1\u09b4"+
-    "\1\u0a35\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09b5\1\u0268"+
-    "\1\u09b6\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u09b6"+
-    "\1\u09bb\1\u09bc\1\u2126\1\u09a5\1\u09f5\1\u0269\1\u09bd\1\u09be"+
-    "\1\u1518\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106"+
-    "\1\u016a\1\11\1\u09b6\1\u09b4\1\u09bb\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09ed"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u1598\1\u09c4\1\u09ce\1\u09cf\1\u1677\1\u09ec\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u096a\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff"+
-    "\1\u151a\1\u0a35\1\u0a02\1\u0a03\1\u096f\1\u0a04\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u0970\1\u0a60\1\u0972\1\0\1\u0263\1\0\1\u0973"+
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-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u0e40\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u1526\1\u18b5\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982"+
-    "\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c"+
-    "\1\u0988\1\u0254\1\u0989\1\u098a\1\u22a1\1\u1525\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e"+
-    "\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976"+
-    "\1\u0980\1\u0981\1\u0254\1\u0256\2\u0980\1\u0977\1\u0983\1\u0984"+
-    "\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a"+
-    "\1\u1555\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u1770\1\106"+
-    "\1\u016a\1\11\1\u0980\1\u1770\1\u0985\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u099d"+
-    "\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u099e"+
-    "\1\u22a2\1\u0254\1\u0989\1\u098a\1\u1559\1\u099f\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u0664\1\11\1\u0980\1\u098e"+
-    "\1\u0985\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u0a32\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33"+
-    "\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u22a3\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09aa"+
-    "\1\106\1\u016a\1\11\1\u0a32\1\u09aa\1\u0a35\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254"+
-    "\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987"+
-    "\1\u025c\1\u22a4\1\u0254\1\u0989\1\u098a\1\u1556\1\u1545\1\u1546"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980"+
-    "\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f"+
-    "\1\u0976\1\u0980\1\u0981\1\u0254\1\u099d\2\u0980\1\u0977\1\u0983"+
-    "\1\u0984\1\u0985\1\u0986\1\u0987\1\u099e\1\u0988\1\u0254\1\u0989"+
-    "\1\u098a\1\u1559\1\u099f\1\u18af\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u0664\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106"+
-    "\1\u096a\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u22a5\1\u0a35\1\u0a02"+
-    "\1\u0a03\1\u0272\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0970\1\u0971"+
-    "\1\u0972\1\0\1\u0263\1\0\1\u0973\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u0973\1\u0a35\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u22a6\1\u1525\1\u154c\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0999\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u099a\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u224f\1\u1525"+
-    "\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0256\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u1555\1\u22a7\1\u151b\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u0a32\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u22a8\1\u22a9\1\u0a35"+
-    "\1\u0a02\1\u0a36\1\u09a5\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7"+
-    "\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a"+
-    "\1\11\1\u0a32\1\u09aa\1\u0a35\1\11\1\106\1\u09b1\1\u096b"+
-    "\1\u0266\1\u22aa\1\u09f7\1\u09f8\1\u09f9\1\u22ab\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u09ff\1\u151a\1\u0a35\1\u0a02\1\u0a03\1\u09a5"+
-    "\1\u0a3f\1\u0a05\1\u0a06\1\u0a07\1\u09b3\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u09f8\1\u09b4"+
-    "\1\u0a35\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976"+
-    "\1\u0980\1\u0981\1\u0254\1\u0256\2\u0980\1\u0977\1\u0983\1\u0984"+
-    "\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a"+
-    "\1\u2135\1\u2134\1\u2148\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0265"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u0a32\1\u09f9\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u22ac"+
-    "\1\u09a5\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11\1\u0a32"+
-    "\1\u09aa\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6"+
-    "\1\u0d87\1\u0ac5\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1b44"+
-    "\1\u0ac7\1\u1521\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0aca"+
-    "\1\u0a06\1\u0acb\1\u21e9\1\u0acc\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09af\1\106\1\u016a\1\11\1\u0ac5\1\u09af\1\u0a35\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8\1\u09c9\1\u09ca"+
-    "\1\u09cb\1\u0e40\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u22ad\1\u1525"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf"+
-    "\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09ed\2\u09c2\1\u09c6"+
-    "\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4"+
-    "\1\u09ce\1\u09cf\1\u22ae\1\u1525\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca"+
-    "\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u22af\1\u1525"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf"+
-    "\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6"+
-    "\1\u09c7\1\u22b0\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4"+
-    "\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11"+
-    "\1\106\1\u0974\1\u22b1\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u09c5\2\u09c2\1\u17ce\1\u09c7\1\u09c8\1\u09c9\1\u09ca"+
-    "\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u1525"+
-    "\1\u0996\1\0\1\u0263\1\0\1\u0997\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u0997\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf"+
-    "\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u22b2\2\u09c2\1\u09c6"+
-    "\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4"+
-    "\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u1551\1\106\1\u016a\1\11\1\u09c2\1\u1551\1\u09c9\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09b5\1\u0268\1\u20d8\1\u09b7"+
-    "\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09f1\1\u09f2\1\u09bb\1\u09bc"+
-    "\1\u22b3\1\u09a5\1\u09a6\1\u0269\1\u09bd\1\u09be\1\u09a7\1\u0a57"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11"+
-    "\1\u20d8\1\u09aa\1\u09bb\1\11\1\106\1\u0974\1\u0250\1\u09bf"+
-    "\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6"+
-    "\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09d2\1\u09c4"+
-    "\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u22b4\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca"+
-    "\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0256\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u1555\1\u1525\1\u22b5\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0256\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u22b6";
-
-  private static final String ZZ_TRANS_PACKED_10 =
-    "\1\u1525\1\u151b\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u22b7\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u1555\1\u1525\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u22b8"+
-    "\1\u1525\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u1558\1\u22b9\1\u0996\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u22ba\1\u0988\1\u0254\1\u0989\1\u098a\1\u1555"+
-    "\1\u1525\1\u151e\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u22bb\1\u09c5\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u1525\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u22bc\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0993"+
-    "\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
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-    "\1\u09ca\1\u09cb\1\u09cc\1\u2486\1\u09c4\1\u09ce\1\u09cf\1\u0993"+
-    "\1\u099f\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u2487"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u2488\1\u0e40\1\u2489\1\u09c4\1\u09ce\1\u09cf\1\u098f"+
-    "\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u152e\1\u152f\1\u1530\1\u1531\1\u1532\1\u1533\1\u1534\1\u1535"+
-    "\1\u1536\1\u248a\1\u1538\1\u1539\1\u153a\1\u153b\1\u153c\1\u153d"+
-    "\1\u153e\1\u153f\1\u1540\1\u1541\1\u09a7\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11\1\u1531\1\u09aa"+
-    "\1\u153a\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976"+
-    "\1\u0980\1\u0981\1\u0254\1\u0256\2\u0980\1\u0977\1\u0983\1\u0984"+
-    "\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a"+
-    "\1\u1555\1\u248b\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982"+
-    "\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c"+
-    "\1\u0988\1\u0254\1\u0989\1\u098a\1\u248c\1\u2134\1\u151e\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e"+
-    "\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u2141\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u1594"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u0993\1\u098c\1\u248d\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u248e\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u096a\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff"+
-    "\1\u0a00\1\u0a35\1\u0a02\1\u0a03\1\u096f\1\u0a04\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u0970\1\u0a60\1\u0972\1\0\1\u0263\1\0\1\u0973"+
-    "\1\106\1\u016a\1\11\1\u09f8\1\u0973\1\u0a35\1\11\1\106"+
-    "\1\u2112\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u0a3e\1\u0a35\1\u0a02"+
-    "\1\u0a03\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0a56\1\u0a57"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u09aa\1\u0a35\1\11\1\106\1\u0974\1\u1600\1\u1601"+
-    "\1\u1602\1\u15ef\1\u1603\1\u1604\1\u15f0\1\u1615\2\u1603\1\u15f3"+
-    "\1\u1606\1\u1603\1\u1607\1\u1608\1\u1609\1\u15f8\1\u160a\1\u15f0"+
-    "\1\u160b\1\u160c\1\u248f\1\u2182\1\u151b\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u1603\1\u098e\1\u1607\1\11"+
-    "\1\106\1\u1701\1\u1600\1\u1601\1\u1602\1\u15ef\1\u1603\1\u1604"+
-    "\1\u15f0\1\u1605\2\u1603\1\u15f3\1\u1606\1\u1603\1\u1607\1\u1608"+
-    "\1\u1609\1\u15f8\1\u160a\1\u15f0\1\u160b\1\u160c\1\u151c\1\u2170"+
-    "\1\u151d\1\0\1\u0263\1\0\1\u0997\1\106\1\u016a\1\11"+
-    "\1\u1603\1\u0997\1\u1607\1\11\1\106\1\u0974\1\u1600\1\u1601"+
-    "\1\u1602\1\u15ef\1\u1603\1\u1604\1\u15f0\1\u1605\2\u1603\1\u163e"+
-    "\1\u1606\1\u1603\1\u1607\1\u1608\1\u1609\1\u15f8\1\u160a\1\u15f0"+
-    "\1\u160b\1\u160c\1\u2490\1\u217c\1\u151b\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u1603\1\u098e\1\u1607\1\11"+
-    "\1\106\1\u0974\1\u1600\1\u1601\1\u1602\1\u15ef\1\u1603\1\u1604"+
-    "\1\u15f0\1\u15f2\2\u1603\1\u15f3\1\u1606\1\u1603\1\u1607\1\u1608"+
-    "\1\u1609\1\u15f8\1\u160a\1\u15f0\1\u160b\1\u160c\1\u154b\1\u217c"+
-    "\1\u151b\1\0\1\u0263\1\0\1\u1770\1\106\1\u016a\1\11"+
-    "\1\u1603\1\u1770\1\u1607\1\11\1\106\1\u0265\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u09ff\1\u0a39\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0ac9"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09af\1\106\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u2491\1\u2492"+
-    "\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u0a56\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09aa\1\u0a35\1\11\1\106\1\u09b1"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u09fd\1\u196e\1\u09ff\1\u0a00\1\u0a35\1\u0a02\1\u0a03"+
-    "\1\u2493\1\u0a3f\1\u0a05\1\u0a06\1\u0a07\1\u09b3\1\u09a8\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u09f8"+
-    "\1\u09b4\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u2116\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519"+
-    "\1\u09ff\1\u0a39\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a3a\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09af\1\106\1\u016a\1\11\1\u2116\1\u09af";
-
-  private static final String ZZ_TRANS_PACKED_11 =
-    "\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff"+
-    "\1\u2494\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a04\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u0a56\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa"+
-    "\1\106\1\u016a\1\11\1\u09f8\1\u09aa\1\u0a35\1\11\1\106"+
-    "\1\u096a\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u0a00\1\u0a35\1\u0a02"+
-    "\1\u0a03\1\u0272\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0af3\1\u0971"+
-    "\1\u0972\1\0\1\u0263\1\0\1\u0973\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u0973\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u0a32\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u0a33\1\u0a51\1\u0a35\1\u0a02\1\u2495\1\u09a5\1\u0a04"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09aa\1\106\1\u016a\1\11\1\u0a32\1\u09aa\1\u0a35"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u196e\1\u09ff\1\u0a39"+
-    "\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a3a\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35\1\11\1\106\1\u096a"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u09fd\1\u2496\1\u09ff\1\u0a00\1\u0a35\1\u0a02\1\u0a03"+
-    "\1\u096f\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0970\1\u0971\1\u0972"+
-    "\1\0\1\u0263\1\0\1\u0973\1\106\1\u016a\1\11\1\u09f8"+
-    "\1\u0973\1\u0a35\1\11\1\106\1\u0974\1\u1600\1\u1601\1\u1602"+
-    "\1\u15ef\1\u1603\1\u1604\1\u15f0\1\u1605\2\u1603\1\u15f3\1\u1606"+
-    "\1\u1603\1\u1607\1\u1608\1\u1609\1\u15f8\1\u160a\1\u15f0\1\u160b"+
-    "\1\u160c\1\u2197\1\u2182\1\u151b\1\0\1\u0263\1\0\1\u2497"+
-    "\1\106\1\u016a\1\11\1\u1603\1\u2497\1\u1607\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u21da\1\u0a39\1\u0a35\1\u0a02"+
-    "\1\u0a03\1\u09a5\1\u0a3a\1\u0a05\1\u0a06\1\u0a07\1\u1523\1\u09ae"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u09af\1\u0a35\1\11\1\106\1\u09b1\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u2109\1\u09ff\1\u0a00\1\u0a35\1\u0a02\1\u2498\1\u09a5\1\u0a3f"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u09b3\1\u09a8\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09b4\1\106\1\u016a\1\11\1\u09f8\1\u09b4\1\u0a35"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u1543"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u0a51"+
-    "\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106"+
-    "\1\u016a\1\11\1\u1543\1\u09aa\1\u0a35\1\11\1\106\1\u09b1"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u0a3e\1\u0a35\1\u0a02\1\u0a03"+
-    "\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u09ad\1\u0a57\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11\1\u09f8"+
-    "\1\u09aa\1\u0a35\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u0bf2"+
-    "\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519"+
-    "\1\u09ff\1\u0a00\1\u0bf7\1\u0a02\1\u0a03\1\u09a5\1\u0a3f\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u09b3\1\u0c86\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09b4\1\106\1\u016a\1\11\1\u09f8\1\u09b4\1\u0bf7\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u196e\1\u09ff\1\u0a39\1\u0a35"+
-    "\1\u0a02\1\u0a03\1\u21ae\1\u0a3a\1\u0a05\1\u0a06\1\u0a07\1\u1523"+
-    "\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u1bcb\1\106\1\u016a"+
-    "\1\11\1\u09f8\1\u1bcb\1\u0a35\1\11\1\106\1\u09b1\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u0a3c\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u09ff\1\u0a3e\1\u0a35\1\u0a02\1\u0a03\1\u09a5"+
-    "\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0a56\1\u0a57\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11\1\u0a3c\1\u09aa"+
-    "\1\u0a35\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u0c27\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff"+
-    "\1\u0a00\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a3f\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u09b3\1\u2499\1\u09a9\1\0\1\u0263\1\0\1\u09b4"+
-    "\1\106\1\u016a\1\11\1\u0c27\1\u09b4\1\u0a35\1\11\1\106"+
-    "\1\u0974\1\u1600\1\u1601\1\u1602\1\u15ef\1\u1603\1\u1604\1\u15f0"+
-    "\1\u1605\2\u1603\1\u15f3\1\u1606\1\u1603\1\u1607\1\u1608\1\u1609"+
-    "\1\u15f8\1\u160a\1\u15f0\1\u160b\1\u160c\1\u249a\1\u217c\1\u151b"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u1603"+
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-    "\1\0\1\u09b4\1\106\1\u016a\1\11\1\u262f\1\u09b4\1\u0a35"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u2630\1\u1589"+
-    "\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35\1\11\1\106\1\u0c87"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u151a\1\u0a35\1\u0a02\1\u0a03"+
-    "\1\u096f\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u1548\1\u2631\1\u0c8a"+
-    "\1\0\1\u0263\1\0\1\u154a\1\106\1\u016a\1\11\1\u09f8"+
-    "\1\u154a\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u2632"+
-    "\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519"+
-    "\1\u09ff\1\u1524\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u0a04\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u0a56\1\u0a57\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09aa\1\106\1\u016a\1\11\1\u09f8\1\u09aa\1\u0a35\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u158f\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u09d1\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca"+
-    "\1\u09cb\1\u09cc\1\u09d2\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u154e"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0265\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u1587\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u1520"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09b4\1\106\1\u016a\1\11\1\u1587\1\u09b4\1\u0a35"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u2633"+
-    "\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u1bde\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u0a33\1\u240b\1\u0a35\1\u0a02\1\u0a36\1\u09a5"+
-    "\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u1bde\1\u09b4"+
-    "\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u20df\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33"+
-    "\1\u151f\1\u0a35\1\u0a02\1\u16a7\1\u09a5\1\u1520\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4"+
-    "\1\106\1\u016a\1\11\1\u20df\1\u09b4\1\u0a35\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4"+
-    "\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb"+
-    "\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u158d\1\u2634"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2"+
-    "\1\u098e\1\u09c9\1\11\1\106\1\u21d3\1\u096b\1\u0266\1\u09b5"+
-    "\1\u0268\1\u20dc\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09f1"+
-    "\1\u09f2\1\u09bb\1\u09bc\1\u09a4\1\u20dd\1\u09a6\1\u0269\1\u09bd"+
-    "\1\u09be\1\u09a7\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa"+
-    "\1\106\1\u016a\1\11\1\u20dc\1\u09aa\1\u09bb\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u2635\1\u1519\1\u09ff\1\u1521\1\u0a35\1\u0a02"+
-    "\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06\1\u0a07\1\u1523\1\u09ae"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u09af\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u1bde\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u2636\1\u09a5\1\u1520"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09b4\1\106\1\u016a\1\11\1\u1bde\1\u09b4\1\u0a35"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u152e\1\u152f\1\u1530\1\u20de"+
-    "\1\u1532\1\u1533\1\u1534\1\u1535\1\u1536\1\u1537\1\u1538\1\u1539"+
-    "\1\u153a\1\u153b\1\u153c\1\u153d\1\u153e\1\u153f\1\u1540\1\u1541"+
-    "\1\u0c6b\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106"+
-    "\1\u016a\1\11\1\u20de\1\u09b4\1\u153a\1\11\1\106\1\u0265"+
-    "\1\u096b\1\u0266\1\u09b5\1\u0268\1\u09b6\1\u09b7\1\u0269\1\u09b8"+
-    "\2\u09b6\1\u09b9\1\u09ba\1\u2637\1\u09bb\1\u09bc\1\u09a4\1\u09a5"+
-    "\1\u09ac\1\u0269\1\u09bd\1\u09be\1\u1516\1\u1517\1\u09a9\1\0"+
-    "\1\u0263\1\0";
-
-  private static final String ZZ_TRANS_PACKED_12 =
-    "\1\u09af\1\106\1\u016a\1\11\1\u09b6\1\u09af\1\u09bb\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u1593\1\u09d3\1\u09c9\1\u09ca"+
-    "\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0998\1\u098c"+
-    "\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u09b1\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u2638\1\u09ff\1\u151a\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a3f"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u09b3\1\u09a8\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09b4\1\106\1\u016a\1\11\1\u09f8\1\u09b4\1\u0a35"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u158e\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u098f"+
-    "\1\u15ad\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u09b1\1\u096b"+
-    "\1\u0266\1\u09b5\1\u0268\1\u09b6\1\u09b7\1\u0269\1\u09b8\2\u09b6"+
-    "\1\u09b9\1\u09ba\1\u09b6\1\u09bb\1\u09bc\1\u09a4\1\u1b3c\1\u09b2"+
-    "\1\u0269\1\u09bd\1\u09be\1\u1518\1\u0a57\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09b4\1\106\1\u016a\1\11\1\u09b6\1\u09b4\1\u09bb"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u0da5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u15ac"+
-    "\1\u09ca\1\u0da6\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u2639"+
-    "\1\u1525\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u15ac\1\11\1\106\1\u0974\1\u263a"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u151c\1\u098c\1\u151d\1\0\1\u0263"+
-    "\1\0\1\u0997\1\106\1\u016a\1\11\1\u0980\1\u0997\1\u0985"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1526"+
-    "\1\u1525\1\u263b\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u152e\1\u152f\1\u1530\1\u20de\1\u1532\1\u1533\1\u1534\1\u1535"+
-    "\1\u1536\1\u1537\1\u1538\1\u1539\1\u153a\1\u153b\1\u263c\1\u153d"+
-    "\1\u153e\1\u153f\1\u1540\1\u1541\1\u09a7\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u20de\1\u09b4"+
-    "\1\u153a\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff"+
-    "\1\u238b\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u0a56\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa"+
-    "\1\106\1\u016a\1\11\1\u09f8\1\u09aa\1\u0a35\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u1bde\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02"+
-    "\1\u0a36\1\u22ce\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11"+
-    "\1\u1bde\1\u09b4\1\u0a35\1\11\1\106\1\u0974\1\u0250\1\u09bf"+
-    "\1\u09c0\1\u09c1\1\u0df9\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6"+
-    "\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4"+
-    "\1\u09ce\1\u09cf\1\u1527\1\u158d\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0df9\1\u098e\1\u09c9\1\11"+
-    "\1\106\1\u263d\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca"+
-    "\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u1525"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u263e\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u0993\1\u098c\1\u151b\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u263f\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u0995\1\u098c"+
-    "\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0265\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u2640\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u1759\1\u1520"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u2641\1\u1bc0\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09b4\1\106\1\u016a\1\11\1\u2640\1\u09b4\1\u0a35"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u1521"+
-    "\1\u2642\1\u0a02\1\u0a03\1\u09a5\1\u2643\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09af\1\u2642\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09e9"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09ea"+
-    "\1\u2644\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u099f\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u0664\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u1593\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u0998\1\u1674\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u2645"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u15ac\1\u09ca\1\u0da6\1\u09cc"+
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-    "\1\u040f\1\u0410\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416"+
-    "\1\u0e85\1\u0418\1\u27c8\1\u041a\1\u041b\1\u041c\1\u0142\1\u041d"+
-    "\1\u041e\1\u041f\1\u0420\1\u03d7\1\u03d3\1\u03d4\1\0\1\45"+
-    "\1\0\1\u03d8\1\12\2\11\1\u0411\1\u03d8\1\u041a\1\11"+
-    "\1\12\1\206\1\u03a3\1\207\1\u040f\1\u0410\1\u057a\1\u0412"+
-    "\1\u0413\1\u0414\1\u0415\1\u0416\1\u0e85\1\u0418\1\u0e8c\1\u041a"+
-    "\1\u041b\1\u041c\1\u0142\1\u0e8b\1\u041e\1\u041f\1\u0420\1\u0e8d"+
-    "\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8\1\12\2\11"+
-    "\1\u057a\1\u03d8\1\u041a\1\11\1\12\1\206\1\u03a3\1\207"+
-    "\1\u040f\1\u0410\1\u0580\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416"+
-    "\1\u0e85\1\u0418\1\u0e8e\1\u041a\1\u041b\1\u0443\1\u0142\1\u041d"+
-    "\1\u041e\1\u041f\1\u0420\1\u0456\1\u0457\1\u03d4\1\0\1\45"+
-    "\1\0\1\u03d5\1\12\2\11\1\u0580\1\u03d5\1\u041a\1\11"+
-    "\1\12\1\u03da\1\u03a3\1\207\1\u040f\1\u0410\1\u0411\1\u0412"+
-    "\1\u0413\1\u0414\1\u0415\1\u0416\1\u0e85\1\u0418\1\u27c9\1\u041a"+
-    "\1\u041b\1\u041c\1\u0142\1\u041d\1\u041e\1\u041f\1\u0420\1\u03d7"+
-    "\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8\1\12\2\11"+
-    "\1\u0411\1\u03d8\1\u041a\1\11\1\12\1\u03aa\1\165\1\u03b4"+
-    "\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8\2\u03b6\1\u03ad"+
-    "\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177\1\u03bd\1\171"+
-    "\1\u03be\1\u03b4\1\u0652\1\u0653\1\u27ca\1\0\1\45\1\0"+
-    "\1\u03c2\1\12\2\11\1\u03b6\1\u03c2\1\u03ba\1\11\1\12"+
-    "\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171"+
-    "\1\173\2\u03b6\1\u03ad\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc"+
-    "\1\177\1\u03bd\1\171\1\u03be\1\u03b4\1\u0e90\1\u0653\1\u27cb"+
-    "\1\0\1\45\1\0\1\u03c2\1\12\2\11\1\u03b6\1\u03c2"+
-    "\1\u03ba\1\11\1\12\1\206\1\u03a3\1\207\1\u040f\1\u0410"+
-    "\1\u0442\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u27cc\1\u0418"+
-    "\1\u0e86\1\u041a\1\u041b\1\u0443\1\u0e91\1\u0e8b\1\u041e\1\u041f"+
-    "\1\u0420\1\u03d2\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8"+
-    "\1\12\2\11\1\u0442\1\u03d8\1\u041a\1\11\1\12\1\206"+
-    "\1\u03a3\1\207\1\u040f\1\u0410\1\u0411\1\u0412\1\u0413\1\u0414"+
-    "\1\u0415\1\u0416\1\u1d9e\1\u0418\1\u0e8e\1\u041a\1\u041b\1\u0443"+
-    "\1\u0142\1\u041d\1\u041e\1\u041f\1\u0420\1\u0456\1\u0457\1\u03d4"+
-    "\1\0\1\45\1\0\1\u03d5\1\12\2\11\1\u0411\1\u03d5"+
-    "\1\u041a\1\11\1\12\1\206\1\u03a3\1\207\1\u040f\1\u0410"+
-    "\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u0e85\1\u0418"+
-    "\1\u0e92\1\u041a\1\u041b\1\u041c\1\u0142\1\u0e8b\1\u041e\1\u041f"+
-    "\1\u0420\1\u270e\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8"+
-    "\1\12\2\11\1\u0411\1\u03d8\1\u041a\1\11\1\12\1\206"+
-    "\1\u03a3\1\207\1\u040f\1\u0410\1\u0411\1\u0412\1\u0413\1\u0414"+
-    "\1\u0415\1\u0416\1\u0e85\1\u0418\1\u0e8e\1\u041a\1\u041b\1\u269c"+
-    "\1\u0142\1\u041d\1\u041e\1\u041f\1\u0420\1\u03d7\1\u0457\1\u03d4"+
-    "\1\0\1\45\1\0\1\u03d5\1\12\2\11\1\u0411\1\u03d5"+
-    "\1\u041a\1\11\1\12\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4"+
-    "\1\u03e5\1\u03e6\1\u03e7\1\u03e8\2\u03e5\1\u1c06\1\u03e8\1\u03ea"+
-    "\1\u03eb\1\u03ec\1\u03ed\1\u03ee\1\u03ef\1\u03e7\1\u03f0\1\u03e2"+
-    "\1\u2708\1\u03c0\1\u03c8\1\0\1\45\1\0\1\u03c2\1\12"+
-    "\2\11\1\u03e5\1\u03c2\1\u03eb\1\11\1\12\1\u03aa\1\165"+
-    "\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e7\1\u03e8\2\u03e5"+
-    "\1\u0406\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u0ee6\1\u0e82\1\u03ef"+
-    "\1\u03e7\1\u03f0\1\u03e2\1\u27cd\1\u1160\1\u03c1\1\0\1\45"+
-    "\1\0\1\u03c2\1\12\2\11\1\u03e5\1\u03c2\1\u03eb\1\11"+
-    "\1\12\1\206\1\u03a3\1\207\1\u040f\1\u0410\1\u0442\1\u0412"+
-    "\1\u0413\1\u0414\1\u0415\1\u0416\1\u0e85\1\u0418\1\u0e86\1\u041a"+
-    "\1\u041b\1\u0443\1\u0e91\1\u1c4e\1\u041e\1\u041f\1\u0420\1\u03d2"+
-    "\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d5\1\12\2\11"+
-    "\1\u0442\1\u03d5\1\u041a\1\11\1\12\1\u0ed0\1\165\1\u03b4"+
-    "\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8\2\u03b6\1\u27ce"+
-    "\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177\1\u03bd\1\171"+
-    "\1\u03be\1\u03b4\1\u0eaf\1\u27cf\1\u1d1d\1\0\1\45\1\0"+
-    "\1\u03c2\1\12\2\11\1\u03b6\1\u03c2\1\u03ba\1\11\1\12"+
-    "\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171"+
-    "\1\u03c4\2\u03b6\1\u03ad\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc"+
-    "\1\177\1\u03c5\1\171\1\u03be\1\u03b4\1\u0eb0\1\u03c0\1\u0e87"+
-    "\1\0\1\45\1\0\1\u27d0\1\12\2\11\1\u03b6\1\u27d0"+
-    "\1\u03ba\1\11\1\12\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac"+
-    "\1\u03b6\1\u03b7\1\171\1\u03b8\2\u03b6\1\u03ad\1\u03b8\1\u03b9"+
-    "\1\u03ba\1\u03bb\1\u27d1\1\177\1\u03bd\1\171\1\u03be\1\u03b4"+
-    "\1\u0eb1\1\u0eb9\1\u0eba\1\0\1\45\1\0\1\u03c2\1\12"+
-    "\2\11\1\u03b6\1\u03c2\1\u03ba\1\11\1\12\1\u03c7\1\165"+
-    "\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8\2\u03b6"+
-    "\1\u27d2\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177\1\u03bd"+
-    "\1\171\1\u03be\1\u03b4\1\u0eb1\1\u0653\1\u03c1\1\0\1\45"+
-    "\1\0\1\u03c2\1\12\2\11\1\u03b6\1\u03c2\1\u03ba\1\11"+
-    "\1\12\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7"+
-    "\1\171\1\u03b8\2\u03b6\1\u03ad\1\u03b8\1\u03b9\1\u03ba\1\u03bb"+
-    "\1\u1e25\1\177\1\u03bd\1\171\1\u03be\1\u03b4\1\u0eb0\1\u03c0"+
-    "\1\u03c1\1\0\1\45\1\0\1\u03c2\1\12\2\11\1\u03b6"+
-    "\1\u03c2\1\u03ba\1\11\1\12\1\u27d3\1\165\1\u03b4\1\u03b5"+
-    "\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8\2\u03b6\1\u03ad\1\u03b8"+
-    "\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177\1\u03bd\1\171\1\u03be"+
-    "\1\u03b4\1\u27d4\1\u0653\1\u03c8\1\0\1\45\1\0\1\u27d5"+
-    "\1\12\2\11\1\u03b6\1\u27d5\1\u03ba\1\11\1\12\1\u03aa"+
-    "\1\u0ec9\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8"+
-    "\2\u03b6\1\u03ad\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177"+
-    "\1\u03bd\1\171\1\u03be\1\u03b4\1\u0eda\1\u27d6\1\u0e89\1\0"+
-    "\1\45\1\0\1\u27d7\1\12\2\11\1\u03b6\1\u27d7\1\u03ba"+
-    "\1\11\1\12\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6"+
-    "\1\u03b7\1\171\1\u03b8\2\u03b6\1\u03ad\1\u03b8\1\u03b9\1\u03ba"+
-    "\1\u03bb\1\u03c9\1\177\1\u03bd\1\171\1\u03be\1\u03b4\1\u0eb1"+
-    "\1\u0653\1\u03c8\1\0\1\45\1\0\1\u27d8\1\12\2\11"+
-    "\1\u03b6\1\u27d8\1\u03ba\1\11\1\12\1\u03aa\1\165\1\u03b4"+
-    "\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8\2\u03b6\1\u03cb"+
-    "\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177\1\u03bd\1\171"+
-    "\1\u03be\1\u03b4\1\u1c50\1\u27d9\1\u1e2b\1\0\1\45\1\0"+
-    "\1\u1e2c\1\12\2\11\1\u03b6\1\u1e2c\1\u03ba\1\11\1\12"+
-    "\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171"+
-    "\1\u27da\2\u03b6\1\u27db\1\u03b8\1\u03b9\1\u27dc\1\u03bb\1\u03bc"+
-    "\1\u03cd\1\u03bd\1\171\1\u03be\1\u03b4\1\u27dd\1\u03ce\1\u1e30"+
-    "\1\0\1\45\1\0\1\u27de\1\12\2\11\1\u03b6\1\u27de"+
-    "\1\u27dc\1\11\1\12\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac"+
-    "\1\u03b6\1\u03b7\1\171\1\u27df\2\u03b6\1\u03ad\1\u03b8\1\u03b9"+
-    "\1\u03ba\1\u03bb\1\u03bc\1\177\1\u03bd\1\171\1\u03be\1\u03b4"+
-    "\1\u0eb1\1\u0653\1\u1d8c\1\0\1\45\1\0\1\u1d23\1\12"+
-    "\2\11\1\u03b6\1\u1d23\1\u03ba\1\11\1\12\1\u03aa\1\165"+
-    "\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8\2\u03b6"+
-    "\1\u03cb\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u27e0\1\177\1\u03bd"+
-    "\1\171\1\u03be\1\u03b4\1\u0eb1\1\u0653\1\u0eb6\1\0\1\45"+
-    "\1\0\1\u03c2\1\12\2\11\1\u03b6\1\u03c2\1\u03ba\1\11"+
-    "\1\12\1\u03da\1\u03a3\1\207\1\u040f\1\u0410\1\u0411\1\u0412"+
-    "\1\u0413\1\u0414\1\u0415\1\u0416\1\u0e85\1\u0418\1\u0e86\1\u041a"+
-    "\1\u041b\1\u041c\1\u0142\1\u041d\1\u041e\1\u27e1\1\u0420\1\u03d7"+
-    "\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8\1\12\2\11"+
-    "\1\u0411\1\u03d8\1\u041a\11\0\1\u1e43\33\0\1\11\1\12"+
-    "\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e7"+
-    "\1\u27e2\2\u03e5\1\u03e9\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed"+
-    "\1\u03ee\1\u03ef\1\u03e7\1\u03f0\1\u03e2\1\u03c6\1\u03c0\1\u03c1"+
-    "\1\0\1\45\1\0\1\u03c2\1\12\2\11\1\u03e5\1\u03c2"+
-    "\1\u03eb\1\11\1\12\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4"+
-    "\1\u03e5\1\u03e6\1\u03e7\1\u0407\2\u03e5\1\u03e9\1\u03e8\1\u03ea"+
-    "\1\u03eb\1\u03ec\1\u03ed\1\u0408\1\u27e3\1\u03e7\1\u03f0\1\u03e2"+
-    "\1\u0409\1\u040a\1\u03c1\1\0\1\45\1\0\1\u03c2\1\12"+
-    "\2\11\1\u03e5\1\u03c2\1\u03eb\1\11\1\12\1\206\1\u03a3"+
-    "\1\u0e93";
-
-  private static final String ZZ_TRANS_PACKED_13 =
-    "\1\u0e94\1\u0e95\1\u1c0b\1\u0e97\1\u0e98\1\u0e99\1\u0e9a\1\u0e9b"+
-    "\1\u0e9c\1\u0e9d\1\u0e9e\1\u0e9f\1\u0ea0\1\u0ea1\1\u0ea2\1\u27b1"+
-    "\1\u0ea4\1\u0ea5\1\u0ea6\1\u03d2\1\u03d3\1\u03d4\1\0\1\45"+
-    "\1\0\1\u03d5\1\12\2\11\1\u1c0b\1\u03d5\1\u0e9f\1\11"+
-    "\1\12\1\206\1\u109c\1\207\1\210\1\211\1\212\1\213"+
-    "\1\212\1\214\2\212\2\214\1\u03d6\1\u0132\1\217\1\u03a4"+
-    "\1\u0142\1\u1dcb\1\212\1\223\1\224\1\u0e84\1\u0457\1\u03d4"+
-    "\1\0\1\45\1\0\1\u03d8\1\12\2\11\1\212\1\u03d8"+
-    "\1\u0132\1\11\1\12\1\206\1\u03a3\1\u0e93\1\u0e94\1\u0e95"+
-    "\1\u1c0b\1\u0e97\1\u0e98\1\u0e99\1\u0e9a\1\u0e9b\1\u0e9c\1\u0e9d"+
-    "\1\u0e9e\1\u0e9f\1\u0ea0\1\u0ea1\1\u27e4\1\u0ea3\1\u0ea4\1\u0ea5"+
-    "\1\u0ea6\1\u03d2\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d5"+
-    "\1\12\2\11\1\u1c0b\1\u03d5\1\u0e9f\1\11\1\12\1\u03aa"+
-    "\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u27e5\1\u03e8"+
-    "\2\u03e5\1\u03e9\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed\1\u03ee"+
-    "\1\u03ef\1\u03e7\1\u03f0\1\u03e2\1\u0e90\1\u0653\1\u03c1\1\0"+
-    "\1\45\1\0\1\u03c2\1\12\2\11\1\u03e5\1\u03c2\1\u03eb"+
-    "\1\11\1\12\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6"+
-    "\1\u03b7\1\171\1\u03b8\2\u03b6\1\u03ad\1\u03b8\1\u03b9\1\u03ba"+
-    "\1\u03bb\1\u03bc\1\177\1\u03bd\1\171\1\u03be\1\u03b4\1\u03c6"+
-    "\1\u0fc6\1\u03c8\1\0\1\45\1\0\1\u03c2\1\12\2\11"+
-    "\1\u03b6\1\u03c2\1\u03ba\1\11\1\12\1\u03aa\1\u03a3\1\u03ab"+
-    "\1\167\1\u03ac\1\171\1\172\1\171\1\173\2\171\1\u03ad"+
-    "\1\173\1\u03ae\1\174\1\175\1\176\1\u2734\1\u03af\1\171"+
-    "\1\201\1\166\1\u03b0\1\u03b1\1\u03b2\1\0\1\45\1\0"+
-    "\1\u03b3\1\12\2\11\1\171\1\u03b3\1\174\1\11\1\12"+
-    "\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e7"+
-    "\1\u03e8\2\u03e5\1\u27e6\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed"+
-    "\1\u03ee\1\u03ef\1\u03e7\1\u03f0\1\u03e2\1\u03c6\1\u03c0\1\u03c8"+
-    "\1\0\1\45\1\0\1\u03c2\1\12\2\11\1\u03e5\1\u03c2"+
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-    "\1\u0163\1\u0164\1\u0165\1\u0663\1\u01e5\1\0\1\u0168\1\0"+
-    "\1\u0169\1\51\1\u0664\1\11\1\u015b\1\u0169\1\u297e\1\11"+
-    "\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u297f\1\u015d"+
-    "\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b"+
-    "\1\u0668\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5\1\0"+
-    "\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11\1\u297f\1\u0169"+
-    "\1\u0161\1\11\1\51\1\u065c\1\u0159\1\u016b\1\u015b\1\u015c"+
-    "\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u2980"+
-    "\1\u0161\1\u015b\1\u0656\1\u0668\1\u066c\1\u015b\1\u0163\1\u0164"+
-    "\1\u066d\1\u0166\1\u0167\1\0\1\u0168\1\0\1\u0169\1\51"+
-    "\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158"+
-    "\1\u2981\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e"+
-    "\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b"+
-    "\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5\1\0\1\u0168\1\0"+
-    "\1\u0169\1\51\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11"+
-    "\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d"+
-    "\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b"+
-    "\1\u0668\2\u015b\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5\1\0"+
-    "\1\u0168\1\0\1\u2982\1\51\1\u016a\1\11\1\u015b\1\u2982"+
-    "\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a\1\u015b\1\u015c"+
-    "\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b"+
-    "\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164\1\u2983\1\u0658"+
-    "\1\u065e\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a\1\11"+
-    "\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158\1\u0159\1\u015a"+
-    "\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u0662\2\u015b\1\u015f"+
-    "\1\u0160\1\u015b\1\u0161\2\u015b\1\u0657\2\u015b\1\u0163\1\u0164"+
-    "\1\u0165\1\u0663\1\u01e5\1\0\1\u2984\1\0\1\u0169\1\51"+
-    "\1\u0664\1\11\1\u015b\1\u0169\1\u0161\1\11\1\51\1\u0158"+
-    "\1\u0159\1\u015a\1\u015b\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e"+
-    "\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b"+
-    "\1\u0163\1\u0164\1\u0165\1\u0658\1\u01e5\1\0\1\u0168\1\0"+
-    "\1\u2985\1\51\1\u016a\1\11\1\u015b\1\u2985\1\u0161\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u2986\1\u2134"+
-    "\1\u151d\1\0\1\u0263\1\0\1\u0997\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u0997\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u09bf"+
-    "\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8"+
-    "\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u1597\1\u0e40\1\u09cd\1\u09c4"+
-    "\1\u09ce\1\u09cf\1\u098f\1\u1525\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u2987\1\u1525"+
-    "\1\u098d\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u2988\1\u1525\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0991\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0992\1\u0254\1\u0989\1\u098a\1\u2989\1\u098c"+
-    "\1\u151b\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u298a\1\u1525\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0994\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u298a\1\u1525"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u2989\1\u098c\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u298b\1\u1525"+
-    "\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u298c\1\u098c\1\u151d\1\0\1\u0263\1\0"+
-    "\1\u0997\1\106\1\u016a\1\11\1\u0980\1\u0997\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u298d\1\u1525"+
-    "\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u298a\1\u1525\1\u151e\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0999\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u099a\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u298a\1\u1525"+
-    "\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u099b\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u298a\1\u1525\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u2988\1\u1525"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u099d\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u099e\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u298e\1\u099f\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u0664\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0256\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u298a\1\u1525"+
-    "\1\u151b\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u099c"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u298a\1\u152a\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u2987\1\u1525";
-
-  private static final String ZZ_TRANS_PACKED_14 =
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u298f\1\u2134\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0991\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0992\1\u0254\1\u0989\1\u098a\1\u2990\1\u2134"+
-    "\1\u151b\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u2991\1\u1525\1\u0996\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0256\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u298a\1\u1525"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u2990\1\u2134\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0994\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u2990\1\u2134"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u2992\1\u2134\1\u0996\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u2993\1\u2134"+
-    "\1\u151d\1\0\1\u0263\1\0\1\u0997\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u0997\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u2994\1\u2134\1\u0996\1\0\1\u0263\1\0"+
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-    "\2\u09c2\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u2ac8\1\u1525\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u0a32\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33"+
-    "\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u1520\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u09a7\1\u09a8\1\u2ac9\1\0\1\u0263\1\0\1\u09b4"+
-    "\1\106\1\u016a\1\11\1\u0a32\1\u09b4\1\u0a35\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u1bde\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u2aca\1\u0a35\1\u0a02"+
-    "\1\u0a36\1\u09a5\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11"+
-    "\1\u1bde\1\u09b4\1\u0a35\1\11\1\106\1\u211c\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u151c\1\u2acb\1\u151d\1\0\1\u0263\1\0"+
-    "\1\u0997\1\106\1\u016a\1\11\1\u0980\1\u0997\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1553\1\u1ad5"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u09b1\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u09ff\1\u2acc\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a3f"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u09b3\1\u09a8\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09b4\1\106\1\u016a\1\11\1\u09f8\1\u09b4\1\u0a35"+
-    "\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u09fe\1\u09ff\1\u151a"+
-    "\1\u0a35\1\u0a02\1\u0a03\1\u2395\1\u0a3f\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u09b3\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09b4\1\u0a35\1\11\1\106\1\u0265"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u2acd\1\u09f9\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u09fd\1\u09fe\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u0a36"+
-    "\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11\1\u2acd"+
-    "\1\u09aa\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u09fe"+
-    "\1\u09ff\1\u2ace\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a3a\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09af\1\106\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1586\1\u2144"+
-    "\1\u151d\1\0\1\u0263\1\0\1\u0997\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u0997\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0256\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u2acf\1\u098a\1\u1555\1\u1525\1\u151b\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca"+
-    "\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u22a0"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0999\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u099a\1\u2ad0\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u1555\1\u1525\1\u0996\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u099d\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u099e\1\u0988\1\u0254\1\u0989\1\u098a\1\u1552\1\u1515"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u2ad1\1\106\1\u0664\1\11"+
-    "\1\u0980\1\u2ad1\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0256\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u2ad2\1\u2134\1\u151b\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u152e\1\u152f\1\u1530\1\u1531\1\u2ad3"+
-    "\1\u1533\1\u1534\1\u1535\1\u1536\1\u1537\1\u1538\1\u1539\1\u153a"+
-    "\1\u153b\1\u153c\1\u153d\1\u153e\1\u153f\1\u1540\1\u1541\1\u09a7"+
-    "\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a"+
-    "\1\11\1\u1531\1\u09aa\1\u153a\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0256\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u2135\1\u2ad4\1\u151b\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u099d\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u099e\1\u0988\1\u0254\1\u2ad5\1\u098a\1\u1552"+
-    "\1\u1515\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u0664"+
-    "\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u2ad6\1\u09c3\1\u09c4\1\u09c5\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u1525\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u2ad6\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u0da5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u0da6\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527"+
-    "\1\u2144\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u2ad7\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u1555\1\u1525\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u2135"+
-    "\1\u2138\1\u151e\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u09f8";
-
-  private static final String ZZ_TRANS_PACKED_15 =
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u152c"+
-    "\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u2ad8\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35\1\11\1\106\1\u0265"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u2acd\1\u09f9\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u0a36"+
-    "\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u2acd"+
-    "\1\u09b4\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519"+
-    "\1\u09ff\1\u2ace\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09af\1\106\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u2ad9\1\u1519\1\u09ff\1\u1524\1\u0a35"+
-    "\1\u0a02\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0a56"+
-    "\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a"+
-    "\1\11\1\u09f8\1\u09aa\1\u0a35\1\11\1\106\1\u09b1\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u09ff\1\u151a\1\u0a35\1\u0a02\1\u2ada\1\u09a5"+
-    "\1\u0a3f\1\u0a05\1\u0a06\1\u0a07\1\u09b3\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u09f8\1\u09b4"+
-    "\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u2adb\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33"+
-    "\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u1520\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4"+
-    "\1\106\1\u016a\1\11\1\u2adb\1\u09b4\1\u0a35\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u2adc\1\u0a35\1\u0a02"+
-    "\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06\1\u0a07\1\u1523\1\u09ae"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u09af\1\u0a35\2\0\1\u2737\23\0\1\u066b\7\0"+
-    "\1\u023d\4\0\1\u023d\1\0\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u2add\1\u098c\1\u151d\1\0\1\u0263"+
-    "\1\0\1\u0997\1\106\1\u016a\1\11\1\u0980\1\u0997\1\u0985"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u1597\1\u0e40\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1526"+
-    "\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u2ade\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u2ade\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09ed\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u1598"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u2555\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09ed\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u09cc\1\u1598\1\u09c4\1\u09ce\1\u09cf\1\u1527"+
-    "\1\u1515\1\u0990\1\0\1\u0263\1\0\1\u1ad0\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u1ad0\1\u09c9\1\11\1\106\1\u09b1\1\u096b"+
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-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u1524"+
-    "\1\u0a35\1\u0a02\1\u2c23\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u0a56\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09aa\1\u0a35\1\11\1\106\1\u2c24"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u1524\1\u0a35\1\u0a02\1\u0a36"+
-    "\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0a56\1\u0a57\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11\1\u09f8"+
-    "\1\u09aa\1\u0a35\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u20d9\1\u09c7"+
-    "\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce"+
-    "\1\u09cf\1\u0993\1\u098c\1\u0996\1\0\1\u0263\1\0\1\u2c25"+
-    "\1\106\1\u016a\1\11\1\u09c2\1\u2c25\1\u09c9\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254"+
-    "\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987"+
-    "\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1528\1\u1525\1\u0996"+
-    "\1\0\1\u0263\1\0\1\u252d\1\106\1\u016a\1\11\1\u0980"+
-    "\1\u252d\1\u0985\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u2c26\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519"+
-    "\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u1520\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u09a7\1\u1ba2\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09b4\1\106\1\u016a\1\11\1\u2c26\1\u09b4\1\u0a35\1\11"+
-    "\1\106\1\u09b1\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u2570\1\u09ff\1\u151a\1\u0a35"+
-    "\1\u0a02\1\u0a03\1\u09a5\1\u0a3f\1\u0a05\1\u0a06\1\u0a07\1\u09b3"+
-    "\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a"+
-    "\1\11\1\u09f8\1\u09b4\1\u0a35\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u1bde\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u2ac7\1\u09a5"+
-    "\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u1bde\1\u09b4"+
-    "\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u1bde\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33"+
-    "\1\u1544\1\u0a35\1\u0a02\1\u0a36\1\u29b6\1\u1520\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09aa"+
-    "\1\106\1\u016a\1\11\1\u1bde\1\u09aa\1\u0a35\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254"+
-    "\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987"+
-    "\1\u025c\1\u2c27\1\u0254\1\u0989\1\u098a\1\u1556\1\u1525\1\u0996"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980"+
-    "\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u20d9\1\u09c7"+
-    "\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce"+
-    "\1\u09cf\1\u0993\1\u098c\1\u2c28\1\0\1\u0263\1\0\1\u0997"+
-    "\1\106\1\u016a\1\11\1\u09c2\1\u0997\1\u09c9\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4"+
-    "\1\u18ea\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb"+
-    "\1\u09cc\1\u1598\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u1525\1\u0990"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2"+
-    "\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u20d9\1\u09c7"+
-    "\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce"+
-    "\1\u09cf\1\u0993\1\u2c29\1\u0996\1\0\1\u0263\1\0\1\u0997"+
-    "\1\106\1\u016a\1\11\1\u09c2\1\u0997\1\u09c9\2\0\1\u0145"+
-    "\23\0\1\u066b\2\0\1\u2920\4\0\1\u023d\4\0\1\u023d"+
-    "\1\0\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff"+
-    "\1\u1521\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u2a1f\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u09af"+
-    "\1\106\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254"+
-    "\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987"+
-    "\1\u2c2a\1\u0988\1\u0254\1\u0989\1\u098a\1\u158a\1\u098c\1\u0996"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980"+
-    "\1\u098e\1\u0985\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u1bde\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519"+
-    "\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u1520\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u1bbf\1\u1bc0\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09aa\1\106\1\u016a\1\11\1\u1bde\1\u09aa\1\u0a35\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8\1\u09c9\1\u09ca"+
-    "\1\u1597\1\u0e40\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u098f\1\u15ad"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u09b1\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u09ff\1\u2c2b\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u0a04"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u0a56\1\u0a57\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09aa\1\106\1\u016a\1\11\1\u09f8\1\u09aa\1\u0a35"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u1593\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0998"+
-    "\1\u15ad\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2"+
-    "\1\u09e8\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u1597\1\u0e40\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u098f\1\u098c\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u2c2c\1\106\1\u016a\1\11\1\u09c2\1\u2c2c\1\u09c9"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0256\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1527"+
-    "\1\u1525\1\u0990\1\0\1\u0263";
-
-  private static final String ZZ_TRANS_PACKED_16 =
-    "\1\0\1\u1770\1\106\1\u016a\1\11\1\u0980\1\u1770\1\u0985"+
-    "\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u151a"+
-    "\1\u2c2d\1\u0a02\1\u0a03\1\u09a5\1\u0a3f\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u09b3\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09b4\1\u2c2d\1\11\1\106\1\u09b1"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u2c2e\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u151a\1\u0a35\1\u0a02\1\u0a03"+
-    "\1\u09a5\1\u0a3f\1\u0a05\1\u0a06\1\u0a07\1\u09b3\1\u09a8\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u09f8"+
-    "\1\u09b4\1\u0a35\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7"+
-    "\1\u2c2f\1\u09c9\1\u09ca\1\u1597\1\u0e40\1\u09cd\1\u09c4\1\u09ce"+
-    "\1\u09cf\1\u098f\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u2c30\1\u0a35\1\u0a02"+
-    "\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0a56\1\u0a57"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u09aa\1\u0a35\1\11\1\106\1\u0994\1\u0250\1\u09bf"+
-    "\1\u09c0\1\u09c1\1\u09c2\1\u1591\1\u09c4\1\u09c5\2\u09c2\1\u09c6"+
-    "\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4"+
-    "\1\u09ce\1\u09cf\1\u0993\1\u2a4d\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u1524\1\u0a35"+
-    "\1\u0a02\1\u0a36\1\u09a5\1\u2b2d\1\u0a05\1\u0a06\1\u0a07\1\u0a56"+
-    "\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a"+
-    "\1\11\1\u09f8\1\u09aa\1\u0a35\1\11\1\106\1\u09b1\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u09fe\1\u09ff\1\u2c31\1\u0a35\1\u0a02\1\u0a03\1\u09a5"+
-    "\1\u0a3f\1\u0a05\1\u0a06\1\u0a07\1\u09b3\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u09f8\1\u09b4"+
-    "\1\u0a35\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u158f"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u09d1\2\u09c2\1\u09c6\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09d2\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u0993\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u2ab8\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u2ab8\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09e9"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09ea"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u2c32\1\u099f\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u0664\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u2c33\1\u09cc\1\u09cd\1\u09c4\1\u1599\1\u09cf"+
-    "\1\u1527\1\u152a\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09e9"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09ea"+
-    "\1\u15cb\1\u09c4\1\u09ce\1\u09cf\1\u1514\1\u1515\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u0664\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u0da5\2\u09c2\1\u09c6\1\u09c7\1\u09c8"+
-    "\1\u15ac\1\u09ca\1\u0da6\1\u0de9\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u1527\1\u1525\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u15ac\1\11\1\106\1\u0974"+
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-    "\1\u03be\1\u03b4\1\u2d9d\1\u0653\1\u03c1\1\0\1\45\1\0"+
-    "\1\u2740\1\12\2\11\1\u03b6\1\u2740\1\u03ba\1\11\1\12"+
-    "\1\206\1\u03a3\1\207\1\u040f\1\u0410\1\u11ac\1\u0412\1\u0413"+
-    "\1\u0414\1\u0415\1\u0416\1\u1c46\1\u0418\1\u0e86\1\u041a\1\u041b"+
-    "\1\u0443\1\u0142\1\u0e8b\1\u041e\1\u041f\1\u0420\1\u03d2\1\u03d3"+
-    "\1\u03d4\1\0\1\45\1\0\1\u03d5\1\12\2\11\1\u11ac"+
-    "\1\u03d5\1\u041a\1\11\1\12\1\206\1\u03a3\1\207\1\u03db"+
-    "\1\211\1\u104a\1\u03dd\1\212\1\u03de\2\u03dc\2\u03de\1\u1dbb"+
-    "\1\u03df\1\u03e0\1\u03d0\1\u0142\1\u03d1\1\212\1\u03e1\1\u0153"+
-    "\1\u0e84\1\u0457\1\u03d4\1\0\1\45\1\0\1\u03d8\1\12"+
-    "\2\11\1\u104a\1\u03d8\1\u03df\1\11\1\12\1\u03aa\1\165"+
-    "\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8\2\u03b6"+
-    "\1\u03ad\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177\1\u03bd"+
-    "\1\171\1\u03be\1\u03b4\1\u0eb0\1\u03c0\1\u0ef9\1\0\1\45"+
-    "\1\0\1\u03c2\1\12\2\11\1\u03b6\1\u03c2\1\u03ba\1\11"+
-    "\1\12\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6"+
-    "\1\u03e7\1\u03e8\2\u03e5\1\u03e9\1\u03e8\1\u0ee3\1\u03eb\1\u03ec"+
-    "\1\u03ed\1\u03ee\1\u03ef\1\u03e7\1\u03f0\1\u03e2\1\u03c6\1\u0653"+
-    "\1\u03c1\1\0\1\45\1\0\1\u03c2\1\12\2\11\1\u03e5"+
-    "\1\u03c2\1\u03eb\1\11\1\12\1\206\1\u03a3\1\207\1\u040f"+
-    "\1\u0410\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u0e85"+
-    "\1\u2d9e\1\u0e8e\1\u041a\1\u041b\1\u0443\1\u0142\1\u041d\1\u041e"+
-    "\1\u041f\1\u0420\1\u0456\1\u0457\1\u03d4\1\0\1\45\1\0"+
-    "\1\u03d5\1\12\2\11\1\u0411\1\u03d5\1\u041a\1\11\1\12"+
-    "\1\u03aa\1\165\1\u1c0c\1\u1c0d\1\u1c0e\1\u1c0f\1\u1c10\1\u1c11"+
-    "\1\u1c2c\2\u1c0f\1\u1c13\1\u1c12\1\u1c14\1\u1c15\1\u1c16\1\u1c17"+
-    "\1\u1c18\1\u1c2d\1\u1c11\1\u1c1a\1\u1c0c\1\u0409\1\u0efb\1\u03c1"+
-    "\1\0\1\45\1\0\1\u03c2\1\12\2\11\1\u1c0f\1\u03c2"+
-    "\1\u1c15\1\11\1\12\1\206\1\u03a3\1\207\1\u040f\1\u0410"+
-    "\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u0e85\1\u0418"+
-    "\1\u0e92\1\u041a\1\u041b\1\u041c\1\u0142\1\u04a2\1\u041e\1\u041f"+
-    "\1\u0420\1\u0e8d\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8"+
-    "\1\12\2\11\1\u0411\1\u03d8\1\u041a\1\11\1\12\1\206"+
-    "\1\u03a3\1\207\1\u040f\1\u0410\1\u26a5\1\u0412\1\u0413\1\u0414"+
-    "\1\u0415\1\u0416\1\u0e85\1\u0418\1\u0419\1\u041a\1\u041b\1\u0443"+
-    "\1\u0e91\1\u041d\1\u041e\1\u041f\1\u0420\1\u03d2\1\u03d3\1\u03d4"+
-    "\1\0\1\45\1\0\1\u03d8\1\12\2\11\1\u26a5\1\u03d8"+
-    "\1\u041a\1\11\1\12\1\206\1\u03a3\1\207\1\u040f\1\u0410"+
-    "\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u0e85\1\u0418"+
-    "\1\u2d9f\1\u041a\1\u041b\1\u041c\1\u0142\1\u041d\1\u041e\1\u041f"+
-    "\1\u0420\1\u0e8d\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8"+
-    "\1\12\2\11\1\u0411\1\u03d8\1\u041a\1\11\1\12\1\206"+
-    "\1\u03a3\1\207\1\u040f\1\u0410\1\u26a5\1\u0412\1\u0413\1\u0414"+
-    "\1\u0415\1\u0416\1\u0e85\1\u0418\1\u0419\1\u041a\1\u041b\1\u0443"+
-    "\1\u0142\1\u041d\1\u041e\1\u041f\1\u0420\1\u03d2\1\u03d3\1\u03d4"+
-    "\1\0\1\45\1\0\1\u03d8\1\12\2\11\1\u26a5\1\u03d8"+
-    "\1\u041a\1\11\1\12\1\206\1\u03a3\1\207\1\u040f\1\u0410"+
-    "\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u1c56\1\u0418"+
-    "\1\u0e8c\1\u041a\1\u041b\1\u041c\1\u0142\1\u0e8b\1\u041e\1\u041f"+
-    "\1\u0420\1\u0e8d\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8"+
-    "\1\12\2\11\1\u0411\1\u03d8\1\u041a\1\11\1\12\1\u1ce5"+
-    "\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\173"+
-    "\2\u03b6\1\u03ad\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177"+
-    "\1\u03bd\1\171\1\u03be\1\u03b4\1\u0eb1\1\u0653\1\u0e87\1\0"+
-    "\1\45\1\0\1\u03c2\1\12\2\11\1\u03b6\1\u03c2\1\u03ba"+
-    "\1\11\1\12\1\206\1\u03a3\1\207\1\u040f\1\u0410\1\u11ac"+
-    "\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u2da0\1\u0418\1\u0e86"+
-    "\1\u041a\1\u041b\1\u0443\1\u0142\1\u0e8b\1\u041e\1\u041f\1\u0420"+
-    "\1\u03d2\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d5\1\12"+
-    "\2\11\1\u11ac\1\u03d5\1\u041a\1\11\1\12\1\u03aa\1\165"+
-    "\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e7\1\u03e8\2\u03e5"+
-    "\1\u2da1\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed\1\u03ee\1\u1cff"+
-    "\1\u03e7\1\u03f0\1\u03e2\1\u03c6\1\u03c0\1\u03c8\1\0\1\45"+
-    "\1\0\1\u03c2\1\12\2\11\1\u03e5\1\u03c2\1\u03eb\1\11"+
-    "\1\12\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7"+
-    "\1\171\1\u03b8\2\u03b6\1\u03ad\1\u03b8\1\u03b9\1\u03ba\1\u03bb"+
-    "\1\u1e22\1\177\1\u03bd\1\171\1\u03be\1\u03b4\1\u0eaf\1\u0653"+
-    "\1\u03c1\1\0\1\45\1\0\1\u03c2\1\12\2\11\1\u03b6"+
-    "\1\u03c2\1\u03ba\1\11\1\12\1\u03c7\1\165\1\u03b4\1\u03b5"+
-    "\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8\2\u03b6\1\u03ad\1\u03b8"+
-    "\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177\1\u03bd\1\171\1\u03be"+
-    "\1\u03b4\1\u2da2\1\u0653\1\u03c1\1\0\1\45\1\0\1\u03c2"+
-    "\1\12\2\11\1\u03b6\1\u03c2\1\u03ba\1\11\1\12\1\u03aa"+
-    "\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8"+
-    "\2\u03b6\1\u03ad\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177"+
-    "\1\u03bd\1\171";
-
-  private static final String ZZ_TRANS_PACKED_17 =
-    "\1\u03be\1\u03b4\1\u0eda\1\u0653\1\u2da3\1\0\1\45\1\0"+
-    "\1\u0ebf\1\12\2\11\1\u03b6\1\u0ebf\1\u03ba\1\11\1\12"+
-    "\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171"+
-    "\1\u03b8\2\u03b6\1\u2da4\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03c9"+
-    "\1\177\1\u03bd\1\171\1\u03be\1\u03b4\1\u0eb1\1\u0653\1\u03c8"+
-    "\1\0\1\45\1\0\1\u03c2\1\12\2\11\1\u03b6\1\u03c2"+
-    "\1\u03ba\1\11\1\12\1\u03aa\1\165\1\u03b4\1\u03b5\1\u03ac"+
-    "\1\u03b6\1\u03b7\1\171\1\u03b8\2\u03b6\1\u03cb\1\u03b8\1\u03b9"+
-    "\1\u03ba\1\u03bb\1\u03bc\1\177\1\u03bd\1\171\1\u03be\1\u03b4"+
-    "\1\u0eb1\1\u0653\1\u2da5\1\0\1\45\1\0\1\u03c2\1\12"+
-    "\2\11\1\u03b6\1\u03c2\1\u03ba\1\11\1\12\1\206\1\u03a3"+
-    "\1\u0e93\1\u0e94\1\u0e95\1\u0f0e\1\u0e97\1\u0e98\1\u0e99\1\u0e9a"+
-    "\1\u0e9b\1\u0e9c\1\u0e9d\1\u0e9e\1\u0e9f\1\u0ea0\1\u0ea1\1\u0ea2"+
-    "\1\u0ea3\1\u0ea4\1\u0ea5\1\u0ea6\1\u03d2\1\u03d3\1\u03d4\1\0"+
-    "\1\45\1\0\1\u03d5\1\12\2\11\1\u0f0e\1\u03d5\1\u0e9f"+
-    "\1\11\1\12\1\u03a2\1\u03a3\1\207\1\u03db\1\211\1\u03dc"+
-    "\1\u03dd\1\u0ff8\1\u03de\2\u03dc\2\u03de\1\u03dc\1\u03df\1\u03e0"+
-    "\1\u03d0\1\u03a5\1\u03d1\1\212\1\u03e1\1\u0153\1\u03a6\1\u03a7"+
-    "\1\u03a8\1\0\1\45\1\0\1\u03a9\1\12\2\11\1\u03dc"+
-    "\1\u03a9\1\u03df\1\11\1\12\1\206\1\u03a3\1\u0e93\1\u0e94"+
-    "\1\u0e95\1\u1c0b\1\u0e97\1\u0e98\1\u0e99\1\u0e9a\1\u0e9b\1\u0e9c"+
-    "\1\u0e9d\1\u0e9e\1\u0e9f\1\u0ea0\1\u0ea1\1\u0ea2\1\u0ea3\1\u0ea4"+
-    "\1\u100a\1\u0ea6\1\u03d2\1\u03d3\1\u03d4\1\0\1\45\1\0"+
-    "\1\u03d5\1\12\2\11\1\u1c0b\1\u03d5\1\u0e9f\1\11\1\12"+
-    "\1\206\1\u03a3\1\207\1\u040f\1\u0410\1\u0411\1\u0412\1\u0413"+
-    "\1\u0414\1\u0415\1\u0416\1\u0e85\1\u0418\1\u0e8e\1\u041a\1\u041b"+
-    "\1\u0443\1\u0142\1\u041d\1\u041e\1\u0539\1\u0420\1\u0456\1\u0457"+
-    "\1\u03d4\1\0\1\45\1\0\1\u03d5\1\12\2\11\1\u0411"+
-    "\1\u03d5\1\u041a\1\11\1\12\1\u03aa\1\165\1\u03e2\1\u03e3"+
-    "\1\u03e4\1\u03e5\1\u03e6\1\u03e7\1\u03e8\2\u03e5\1\u03e9\1\u03e8"+
-    "\1\u0ee3\1\u03eb\1\u03ec\1\u03ed\1\u03ee\1\u03ef\1\u03e7\1\u03f0"+
-    "\1\u03e2\1\u2da6\1\u0653\1\u03c1\1\0\1\45\1\0\1\u03c2"+
-    "\1\12\2\11\1\u03e5\1\u03c2\1\u03eb\1\11\1\12\1\u03aa"+
-    "\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e7\1\u0407"+
-    "\2\u03e5\1\u03e9\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed\1\u101d"+
-    "\1\u03ef\1\u03e7\1\u03f0\1\u03e2\1\u03c6\1\u03ce\1\u03c1\1\0"+
-    "\1\45\1\0\1\u03c2\1\12\2\11\1\u03e5\1\u03c2\1\u03eb"+
-    "\1\11\1\12\1\u03aa\1\165\1\u03e2\1\u03e3\1\u03e4\1\u03e5"+
-    "\1\u03e6\1\u03e7\1\u03e8\2\u03e5\1\u03e9\1\u03e8\1\u0ee3\1\u03eb"+
-    "\1\u03ec\1\u03ed\1\u03ee\1\u03ef\1\u03e7\1\u03f0\1\u03e2\1\u0e90"+
-    "\1\u0653\1\u1062\1\0\1\45\1\0\1\u03c2\1\12\2\11"+
-    "\1\u03e5\1\u03c2\1\u03eb\1\11\1\12\1\u03da\1\u03a3\1\207"+
-    "\1\u040f\1\u0410\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416"+
-    "\1\u0e85\1\u0418\1\u10e2\1\u041a\1\u041b\1\u0443\1\u0142\1\u10e4"+
-    "\1\u041e\1\u041f\1\u0420\1\u03d7\1\u0457\1\u03d4\1\0\1\45"+
-    "\1\0\1\u03d5\1\12\2\11\1\u0411\1\u03d5\1\u041a\1\11"+
-    "\1\12\1\206\1\u03a3\1\207\1\u040f\1\u0410\1\u0411\1\u0412"+
-    "\1\u0413\1\u0414\1\u0415\1\u0416\1\u0e85\1\u0418\1\u0e8e\1\u041a"+
-    "\1\u041b\1\u041c\1\u0142\1\u041d\1\u041e\1\u041f\1\u0420\1\u0456"+
-    "\1\u0457\1\u1111\1\0\1\45\1\0\1\u03d5\1\12\2\11"+
-    "\1\u0411\1\u03d5\1\u041a\1\11\1\12\1\u03aa\1\165\1\u03e2"+
-    "\1\u03e3\1\u03e4\1\u03e5\1\u03e6\1\u03e7\1\u03e8\2\u03e5\1\u2da1"+
-    "\1\u03e8\1\u03ea\1\u03eb\1\u03ec\1\u03ed\1\u03ee\1\u03ef\1\u03e7"+
-    "\1\u03f0\1\u03e2\1\u03c6\1\u03c0\1\u03c8\1\0\1\45\1\0"+
-    "\1\u03c2\1\12\2\11\1\u03e5\1\u03c2\1\u03eb\1\11\1\12"+
-    "\1\206\1\u03a3\1\u0e93\1\u0e94\1\u0e95\1\u26aa\1\u0e97\1\u0e98"+
-    "\1\u0e99\1\u0e9a\1\u0e9b\1\u0e9c\1\u0e9d\1\u0e9e\1\u0e9f\1\u0ea0"+
-    "\1\u0ea1\1\u0ea2\1\u0ea3\1\u0ea4\1\u0ea5\1\u0ea6\1\u03d2\1\u03d3"+
-    "\1\u03d4\1\0\1\45\1\0\1\u03d5\1\12\2\11\1\u26aa"+
-    "\1\u03d5\1\u0e9f\1\11\1\12\1\u03aa\1\165\1\u03b4\1\u03b5"+
-    "\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8\2\u03b6\1\u03ad\1\u03b8"+
-    "\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177\1\u03bd\1\171\1\u03be"+
-    "\1\u03b4\1\u2da7\1\u03c0\1\u2da8\1\0\1\45\1\0\1\u03c2"+
-    "\1\12\2\11\1\u03b6\1\u03c2\1\u03ba\1\11\1\12\1\206"+
-    "\1\u03a3\1\207\1\u040f\1\u0410\1\u27c1\1\u0412\1\u0413\1\u0414"+
-    "\1\u0415\1\u0416\1\u055a\1\u0418\1\u0e8c\1\u041a\1\u041b\1\u041c"+
-    "\1\u0142\1\u0e8b\1\u041e\1\u041f\1\u0420\1\u0e8d\1\u03d3\1\u03d4"+
-    "\1\0\1\45\1\0\1\u03d8\1\12\2\11\1\u27c1\1\u03d8"+
-    "\1\u041a\1\11\1\12\1\u03da\1\u03a3\1\207\1\u040f\1\u0410"+
-    "\1\u0411\1\u0412\1\u0413\1\u0414\1\u0415\1\u0416\1\u274b\1\u04b0"+
-    "\1\u0e86\1\u041a\1\u041b\1\u041c\1\u0142\1\u041d\1\u041e\1\u041f"+
-    "\1\u0420\1\u03d7\1\u03d3\1\u03d4\1\0\1\45\1\0\1\u03d8"+
-    "\1\12\2\11\1\u0411\1\u03d8\1\u041a\1\11\1\12\1\u03aa"+
-    "\1\165\1\u03b4\1\u03b5\1\u03ac\1\u03b6\1\u03b7\1\171\1\u03b8"+
-    "\2\u03b6\1\u03cb\1\u03b8\1\u03b9\1\u03ba\1\u03bb\1\u03bc\1\177"+
-    "\1\u03bd\1\171\1\u03be\1\u03b4\1\u2d9d\1\u2da9\1\u2daa\1\0"+
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-    "\1\u09aa\1\u09bb\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u09c2\1\u09c3\1\u2131\1\u09c5\2\u09c2\1\u09c6\1\u09c7"+
-    "\1\u1594\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce"+
-    "\1\u09cf\1\u0993\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u2f01"+
-    "\1\106\1\u016a\1\11\1\u09c2\1\u2f01\1\u09c9\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u0a32\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u2f02\1\u151f\1\u0a35\1\u0a02"+
-    "\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11"+
-    "\1\u0a32\1\u09aa\1\u0a35\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0256\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u2f03\1\u2134\1\u151b\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u0a32\1\u2541"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35"+
-    "\1\u0a02\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u09a7"+
-    "\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a"+
-    "\1\11\1\u0a32\1\u09aa\1\u0a35\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u2f04\1\u1525\1\u151e\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u0da5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u15ac"+
-    "\1\u09ca\1\u0da6\1\u0de9\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u2f05"+
-    "\1\u1525\1\u0996\1\0\1\u0263\1\0\1\u2f06\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u2f06\1\u15ac\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u2acd\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u09a5"+
-    "\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u2ebb\1\106\1\u016a\1\11\1\u2acd\1\u2ebb"+
-    "\1\u0a35\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u2f07\1\u09ff"+
-    "\1\u151a\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a3f\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u09b3\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4"+
-    "\1\106\1\u016a\1\11\1\u09f8\1\u09b4\1\u0a35\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254"+
-    "\1\u0256\2\u0980\1\u0977\1\u2f08\1\u0984\1\u0985\1\u0986\1\u0987"+
-    "\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1555\1\u1525\1\u151b"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980"+
-    "\1\u098e\1\u0985\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519"+
-    "\1\u09ff\1\u2f09\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u1523\1\u1517\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09af\1\106\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09b5\1\u0268\1\u2f0a\1\u09b7"+
-    "\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09f1\1\u09f2\1\u09bb\1\u09bc"+
-    "\1\u09a4\1\u2f0b\1\u09a6\1\u0269\1\u09bd\1\u09be\1\u09a7\1\u0a57"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11"+
-    "\1\u2f0a\1\u09aa\1\u09bb\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u099c"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u2f0c\1\u1525\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u1521\1\u0a35"+
-    "\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06\1\u0a07\1\u2c16"+
-    "\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a"+
-    "\1\11\1\u09f8\1\u09af\1\u0a35\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u1542\1\u1ad5\1\u0996\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09b5\1\u0268\1\u09b6"+
-    "\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u15bc\1\u09bb"+
-    "\1\u09bc\1\u09a4\1\u2f0d\1\u09ac\1\u0269\1\u09bd\1\u09be\1\u1516"+
-    "\1\u1517\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a"+
-    "\1\11\1\u09b6\1\u09af\1\u09bb\1\11\1\106\1\u0974\1\u096b"+
-    "\1\u0975\1\u0252\1\u0976\1\u0254\1\u0255\1\u0254\1\u0256\2\u0254"+
-    "\1\u0977\1\u0258\1\u0978\1\u0259\1\u025a\1\u025b\1\u025c\1\u0979"+
-    "\1\u0254\1\u025e\1\u025f\1\u097a\1\u2f0e\1\u097c\1\0\1\u0263"+
-    "\1\0\1\u097d\1\106\1\u016a\1\11\1\u0254\1\u097d\1\u0259"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u29ae"+
-    "\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u2f0f\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35\1\11\1\106\1\u0994"+
-    "\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982"+
-    "\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c"+
-    "\1\u0988\1\u0254\1\u0989\1\u098a\1\u2a41\1\u1525\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e"+
-    "\1\u0985\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff"+
-    "\1\u2f10\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u09af"+
-    "\1\106\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09b5\1\u0268\1\u09b6\1\u09b7\1\u0269"+
-    "\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u15bc\1\u09bb\1\u09bc\1\u09a4"+
-    "\1\u2f11\1\u09ac\1\u0269\1\u09bd\1\u09be\1\u1516\1\u1517\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a\1\11\1\u09b6"+
-    "\1\u09af\1\u09bb\1\11\1\106\1\u2460\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u1bde\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519"+
-    "\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u1520\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09b4\1\106\1\u016a\1\11\1\u1bde\1\u09b4\1\u0a35\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u2f12\1\u1525"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0265\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u2f13\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u1759\1\u1520"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u1ba2\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09b4\1\106\1\u016a\1\11\1\u2f13\1\u09b4\1\u0a35"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u1597\1\u0e40\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1526"+
-    "\1\u2613\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u262f\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u1588"+
-    "\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u262f\1\u09b4"+
-    "\1\u0a35\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u2f14\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u1597\1\u0e40\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u1526\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106";
-
-  private static final String ZZ_TRANS_PACKED_18 =
-    "\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4"+
-    "\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb"+
-    "\1\u09cc\1\u18d9\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u158d\1\u0990"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2"+
-    "\1\u098e\1\u09c9\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u0a32\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519"+
-    "\1\u0a33\1\u2f15\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u1520\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u2ebb\1\106\1\u016a\1\11\1\u0a32\1\u2ebb\1\u0a35\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8\1\u09c9\1\u09ca"+
-    "\1\u1597\1\u0e40\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1526\1\u2f16"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u25f6\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u1526\1\u1525\1\u2f17\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1526\1\u1525"+
-    "\1\u2f18\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\2\0\1\u0145\15\0\1\u2dd2\5\0"+
-    "\1\u066b\7\0\1\u023d\4\0\1\u023d\1\u2dd2\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u152c\1\u0a35\1\u0a02"+
-    "\1\u0a03\1\u2a54\1\u1522\1\u0a05\1\u0a06\1\u0a07\1\u1523\1\u09ae"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u09af\1\u0a35\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
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-    "\1\u0974\1\u0250\1\u09bf\1\u158e\1\u09c1\1\u09c2\1\u09c3\1\u09c4"+
-    "\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u3044"+
-    "\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u098f\1\u098c\1\u0990"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2"+
-    "\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u09c2\1\u09c3\1\u1590\1\u09c5\2\u09c2\1\u09c6\1\u09c7"+
-    "\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce"+
-    "\1\u09cf\1\u0993\1\u3045\1\u0990\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106"+
-    "\1\u09b1\1\u096b\1\u0266\1\u09b5\1\u0268\1\u0269\1\u09b7\1\u0269"+
-    "\1\u09b8\2\u09b6\1\u3046\1\u09ba\1\u09b6\1\u09bb\1\u09bc\1\u09a4"+
-    "\1\u09a5\1\u09b2\1\u0269\1\u09bd\1\u09be\1\u1518\1\u0a57\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u0269"+
-    "\1\u09b4\1\u09bb\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09ed\2\u09c2\1\u09c6\1\u09c7"+
-    "\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce"+
-    "\1\u09cf\1\u1527\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u249e"+
-    "\1\106\1\u016a\1\11\1\u09c2\1\u249e\1\u09c9\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09b5\1\u0268\1\u0269\1\u09b7\1\u0269"+
-    "\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u09f4\1\u09bb\1\u09bc\1\u09a4"+
-    "\1\u3047\1\u09a6\1\u0269\1\u09bd\1\u09be\1\u1516\1\u0a57\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11\1\u0269"+
-    "\1\u09aa\1\u09bb\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u09c2\1\u09c3\1\u3048\1\u09c5\2\u09c2\1\u09c6\1\u09c7"+
-    "\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce"+
-    "\1\u09cf\1\u1527\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09b5\1\u0268\1\u09b6\1\u09b7\1\u0269"+
-    "\1\u09b8\2\u09b6\1\u1725\1\u09ba\1\u09f4\1\u09bb\1\u09bc\1\u09a4"+
-    "\1\u09a5\1\u09a6\1\u0269\1\u09bd\1\u09be\1\u1516\1\u0a57\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11\1\u09b6"+
-    "\1\u09aa\1\u09bb\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519"+
-    "\1\u3049\1\u151a\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u0a3f\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u09b3\1\u09a8\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09b4\1\106\1\u016a\1\11\1\u09f8\1\u09b4\1\u0a35\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u2ec9\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca"+
-    "\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u154e"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u09b1\1\u096b\1\u0266"+
-    "\1\u304a\1\u0268\1\u09b6\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9"+
-    "\1\u09ba\1\u09b6\1\u09bb\1\u09bc\1\u09a4\1\u09a5\1\u09f5\1\u0269"+
-    "\1\u09bd\1\u09be\1\u1518\1\u0a57\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09b4\1\106\1\u016a\1\11\1\u09b6\1\u09b4\1\u09bb\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u29af\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35"+
-    "\1\u0a02\1\u304b\1\u09a5\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7"+
-    "\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a"+
-    "\1\11\1\u29af\1\u09b4\1\u0a35\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u304c\1\u09c5\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u025c\1\u304d\1\u0254\1\u0989\1\u098a\1\u1556"+
-    "\1\u1525\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb\1\u304e\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u1525\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u2fa8\1\u09ff\1\u1524"+
-    "\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u0a56\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09aa\1\u0a35\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u299c\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u09e8\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u1597\1\u0e40"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1526\1\u1525\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976"+
-    "\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983\1\u0984"+
-    "\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a"+
-    "\1\u304f\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u2b02\1\106"+
-    "\1\u016a\1\11\1\u0980\1\u2b02\1\u0985\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982"+
-    "\2\u0980\1\u099c\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c"+
-    "\1\u0988\1\u0254\1\u0989\1\u098a\1\u3050\1\u1525\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u2b02\1\106\1\u016a\1\11\1\u0980\1\u2b02"+
-    "\1\u0985\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u20df\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u2127\1\u0a33"+
-    "\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u1520\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09aa"+
-    "\1\106\1\u016a\1\11\1\u20df\1\u09aa\1\u0a35\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u2a9d\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u152c\1\u0a35\1\u0a02"+
-    "\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06\1\u0a07\1\u1523\1\u09ae"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u09af\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u09ff\1\u1524\1\u0a35\1\u0a02\1\u3051\1\u09a5\1\u0a04"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u0a56\1\u0a57\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09aa\1\106\1\u016a\1\11\1\u09f8\1\u09aa\1\u0a35"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u0a32"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u2c74"+
-    "\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106"+
-    "\1\u016a\1\11\1\u0a32\1\u09b4\1\u0a35\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb\1\u1897"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u158d\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09b5\1\u0268"+
-    "\1\u20dc\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09f1\1\u09f2"+
-    "\1\u09bb\1\u09bc\1\u09a4\1\u3052\1\u09a6\1\u0269\1\u09bd\1\u09be"+
-    "\1\u09a7\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106";
-
-  private static final String ZZ_TRANS_PACKED_19 =
-    "\1\u016a\1\11\1\u20dc\1\u09aa\1\u09bb\1\11\1\106\1\u0265"+
-    "\1\u096b\1\u0266\1\u09b5\1\u0268\1\u1873\1\u09b7\1\u0269\1\u09b8"+
-    "\2\u09b6\1\u09b9\1\u09ba\1\u24e1\1\u09bb\1\u09bc\1\u09a4\1\u09a5"+
-    "\1\u09ac\1\u0269\1\u09bd\1\u09be\1\u1516\1\u1517\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09af\1\106\1\u016a\1\11\1\u1873\1\u09af"+
-    "\1\u09bb\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976"+
-    "\1\u0980\1\u0981\1\u0254\1\u099d\2\u0980\1\u0977\1\u0983\1\u0984"+
-    "\1\u0985\1\u0986\1\u0987\1\u099e\1\u0988\1\u0254\1\u0989\1\u098a"+
-    "\1\u1554\1\u099f\1\u0990\1\0\1\u3053\1\0\1\u098e\1\106"+
-    "\1\u0664\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5"+
-    "\2\u09c2\1\u09e8\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u1597\1\u0e40"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1526\1\u22a0\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u2207"+
-    "\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff"+
-    "\1\u1521\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u1bcb"+
-    "\1\106\1\u016a\1\11\1\u09f8\1\u1bcb\1\u0a35\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254"+
-    "\1\u0982\2\u0980\1\u0977\1\u3054\1\u0984\1\u0985\1\u0986\1\u0987"+
-    "\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u0995\1\u098c\1\u0996"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980"+
-    "\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7"+
-    "\1\u1594\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce"+
-    "\1\u09cf\1\u1527\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u1bbc"+
-    "\1\106\1\u016a\1\11\1\u09c2\1\u1bbc\1\u09c9\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4"+
-    "\1\u09c5\2\u09c2\1\u09c6\1\u1593\1\u09c8\1\u09c9\1\u09ca\1\u09cb"+
-    "\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0998\1\u25f4\1\u0996"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2"+
-    "\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f"+
-    "\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983"+
-    "\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989"+
-    "\1\u098a\1\u1526\1\u1525\1\u3055\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4"+
-    "\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb"+
-    "\1\u3056\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u158d\1\u0990"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2"+
-    "\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f"+
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-    "\1\u09ce\1\u09cf\1\u2b30\1\u154e\1\u0996\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u29af\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35"+
-    "\1\u0a02\1\u0a36\1\u29b8\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7"+
-    "\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u2ebb\1\106\1\u016a"+
-    "\1\11\1\u29af\1\u2ebb\1\u0a35\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u1bde\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u09a5"+
-    "\1\u2a94\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u2ebb\1\106\1\u016a\1\11\1\u1bde\1\u2ebb"+
-    "\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u3191\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33"+
-    "\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u3192\1\u1520\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09aa"+
-    "\1\106\1\u016a\1\11\1\u3191\1\u09aa\1\u0a35\1\11\1\106"+
-    "\1\u09b1\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u151a\1\u0a35\1\u0a02"+
-    "\1\u0a03\1\u09a5\1\u0a3f\1\u0a05\1\u0a06\1\u0a07\1\u3193\1\u09a8"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u09b4\1\u0a35\1\11\1\106\1\u0974\1\u0250\1\u09bf"+
-    "\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8"+
-    "\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4"+
-    "\1\u09ce\1\u09cf\1\u0993\1\u3194\1\u0996\1\0\1\u0263\1\0"+
-    "\1\u0997\1\106\1\u016a\1\11\1\u09c2\1\u0997\1\u09c9\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1529\1\u1525"+
-    "\1\u0996\1\0\1\u0263\1\0\1\u1bc8\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u1bc8\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u09bf"+
-    "\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u3195\1\u09c5\2\u09c2\1\u09c6"+
-    "\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4"+
-    "\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u152e\1\u152f\1\u1530\1\u20de\1\u1532"+
-    "\1\u1533\1\u1534\1\u1535\1\u1536\1\u1537\1\u1538\1\u3196\1\u153a"+
-    "\1\u153b\1\u153c\1\u153d\1\u153e\1\u153f\1\u1540\1\u1541\1\u09a7"+
-    "\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a"+
-    "\1\11\1\u20de\1\u09aa\1\u153a\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09e9\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09ea\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u16f8\1\u099f\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u0664\1\11\1\u09c2\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u3197"+
-    "\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u1523\1\u1517\1\u09a9\1\0\1\u0263\1\0\1\u09af\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35\1\11\1\106\1\u0265"+
-    "\1\u096b\1\u0266\1\u09b5\1\u0268\1\u3198\1\u09b7\1\u0269\1\u09b8"+
-    "\2\u09b6\1\u09b9\1\u09f1\1\u09f2\1\u09bb\1\u09bc\1\u09a4\1\u3199"+
-    "\1\u09a6\1\u0269\1\u09bd\1\u09be\1\u09a7\1\u0a57\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11\1\u3198\1\u09aa"+
-    "\1\u09bb\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u09c2\1\u09c3\1\u20db\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u1594"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
-    "\1\u1527\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106"+
-    "\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u2460"+
-    "\1\u096b\1\u152e\1\u152f\1\u1530\1\u20de\1\u1532\1\u1533\1\u1534"+
-    "\1\u1535\1\u1536\1\u1537\1\u1538\1\u1539\1\u153a\1\u153b\1\u153c"+
-    "\1\u153d\1\u153e\1\u153f\1\u1540\1\u1541\1\u09a7\1\u09a8\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11\1\u20de"+
-    "\1\u09aa\1\u153a\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f"+
-    "\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983"+
-    "\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989"+
-    "\1\u098a\1\u319a\1\u1525\1\u151d\1\0\1\u0263\1\0\1\u0997"+
-    "\1\106\1\u016a\1\11\1\u0980\1\u0997\1\u0985\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u319b\1\u09c3\1\u09c4"+
-    "\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb"+
-    "\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u158d\1\u0990"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u319b"+
-    "\1\u098e\1\u09c9\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519"+
-    "\1\u09ff\1\u1521\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u319c\1\106\1\u016a\1\11\1\u09f8\1\u319c\1\u0a35\1\11"+
-    "\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u2154\1\u0a35"+
-    "\1\u0a02\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0a56"+
-    "\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a"+
-    "\1\11\1\u09f8\1\u09aa\1\u0a35\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u09ff\1\u1524\1\u0a35\1\u0a02\1\u0a36\1\u09a5"+
-    "\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0a56\1\u0a57\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u319d\1\106\1\u016a\1\11\1\u09f8\1\u319d"+
-    "\1\u0a35\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff"+
-    "\1\u1524\1\u0a35\1\u0a02\1\u0a36\1\u0e0c\1\u0a04\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u0a56\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09aa"+
-    "\1\106\1\u016a\1\11\1\u09f8\1\u09aa\1\u0a35\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4"+
-    "\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb"+
-    "\1\u0e40\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u319e\1\u0990"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2"+
-    "\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0"+
-    "\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7"+
-    "\1\u09c8\1\u09c9\1\u09ca\1\u1597\1\u319f\1\u09cd\1\u09c4\1\u09ce"+
-    "\1\u09cf\1\u1526\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u098e"+
-    "\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254"+
-    "\1\u0991\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987"+
-    "\1\u025c\1\u0992\1\u0254\1\u0989\1\u098a\1\u31a0\1\u098c\1\u151b"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980"+
-    "\1\u098e\1\u0985\1\11\1\106\1\u0265\1\u096b\1\u0266";
-
-  private static final String ZZ_TRANS_PACKED_20 =
-    "\1\u31a1\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u09ff\1\u1524\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u0a04"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u0a56\1\u0a57\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09aa\1\106\1\u016a\1\11\1\u09f8\1\u09aa\1\u0a35"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0256\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1555"+
-    "\1\u31a2\1\u151b\1\0\1\u0263\1\0\1\u31a3\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u31a3\1\u0985\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0256\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u2135\1\u31a4\1\u151b\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u0e40\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u2cc0"+
-    "\1\u1b04\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09e9\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09ea\1\u31a5"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u099f\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u0664\1\11\1\u09c2\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u20e0\1\u20e1\1\u20e2\1\u20e3"+
-    "\1\u20e4\1\u20e5\1\u2104\2\u20e3\1\u20e7\1\u20e8\1\u20e9\1\u20ea"+
-    "\1\u20eb\1\u20ec\1\u20ed\1\u2105\1\u20e5\1\u20ef\1\u20f0\1\u31a6"+
-    "\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u20e3\1\u098e\1\u20ea\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2"+
-    "\1\u20d9\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u0e30"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0996\1\0\1\u0263"+
-    "\1\0\1\u0997\1\106\1\u016a\1\11\1\u09c2\1\u0997\1\u09c9"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u1590\1\u09ce\1\u09cf\1\u31a7"+
-    "\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0256\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u1b75\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u1555\1\u1525\1\u151b\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u096a\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u151a"+
-    "\1\u0a35\1\u0a02\1\u0a03\1\u096f\1\u0a04\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u0970\1\u0971\1\u0972\1\0\1\u0263\1\0\1\u31a8\1\106"+
-    "\1\u016a\1\11\1\u09f8\1\u31a8\1\u0a35\1\11\1\106\1\u0265"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u1589\1\u0a35\1\u0a02\1\u0a03"+
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-    "\1\u0a05\1\u0a06\1\u0a07\1\u0c6b\1\u09a8\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09b4\1\106\1\u016a\1\11\1\u1bde\1\u09b4\1\u0a35"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u1555"+
-    "\1\u32dc\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u1bde\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u0a33\1\u1544\1\u0a35\1\u0a02\1\u225f\1\u09a5"+
-    "\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0";
-
-  private static final String ZZ_TRANS_PACKED_21 =
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-    "\1\u0a35\2\0\1\u3273\23\0\1\u066b\7\0\1\u023d\4\0"+
-    "\1\u023d\1\0\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u0a32\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519"+
-    "\1\u0a33\1\u32ee\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u1520\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09aa\1\106\1\u016a\1\11\1\u0a32\1\u09aa\1\u0a35\1\11"+
-    "\1\106\1\u09b1\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u32ef\1\u0a35"+
-    "\1\u0a02\1\u0a03\1\u09a5\1\u0a3f\1\u0a05\1\u0a06\1\u0a07\1\u09b3"+
-    "\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a"+
-    "\1\11\1\u09f8\1\u09b4\1\u0a35\1\11\1\106\1\u0265\1\u096b"+
-    "\1\u0266\1\u09f6\1\u09f7\1\u1bde\1\u09f9\1\u09fa\1\u09fb\1\u09fc"+
-    "\1\u09fd\1\u1519\1\u0a33\1\u1b83\1\u0a35\1\u0a02\1\u0a36\1\u09a5"+
-    "\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0"+
-    "\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11\1\u1bde\1\u09b4"+
-    "\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u31b5"+
-    "\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff"+
-    "\1\u152c\1\u0a35\1\u0a02\1\u0a03\1\u154d\1\u1522\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263\1\0\1\u09af"+
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-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u20df\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u151f\1\u0a35\1\u0a02"+
-    "\1\u0a36\1\u152b\1\u1520\1\u0a05\1\u0a06\1\u0a07\1\u0c6b\1\u09a8"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11"+
-    "\1\u20df\1\u09b4\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u09ff\1\u1521\1\u0a35\1\u0a02\1\u0a03\1\u154d\1\u1522"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u1788\1\u09ae\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u09af\1\106\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u32f0"+
-    "\1\u152a\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u09c4\1\u09c5\2\u09c2"+
-    "\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb\1\u0e40\1\u09cd"+
-    "\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u2555\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u32f1"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u1594\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u0e40\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527"+
-    "\1\u1525\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u32f1\1\u098e\1\u09c9\1\11\1\106\1\u223b\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u2986\1\u2134\1\u151d\1\0\1\u0263"+
-    "\1\0\1\u0997\1\106\1\u016a\1\11\1\u0980\1\u0997\1\u0985"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u0e40\1\u32f2\1\u09c4\1\u09ce\1\u09cf\1\u098f"+
-    "\1\u098c\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980"+
-    "\1\u099c\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u1526\1\u22a0\1\u0990\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u0e40\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527"+
-    "\1\u2555\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0256\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988"+
-    "\1\u0254\1\u0989\1\u098a\1\u0993\1\u098c\1\u2b91\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2"+
-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u1599\1\u09cf\1\u32f3"+
-    "\1\u152a\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106\1\u0974\1\u0250"+
-    "\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0991\2\u0980"+
-    "\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0992"+
-    "\1\u0254\1\u0989\1\u098a\1\u2444\1\u098c\1\u151b\1\0\1\u0263"+
-    "\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985"+
-    "\1\11\1\106\1\u0994\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980"+
-    "\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985"+
-    "\1\u0986\1\u0987\1\u1b75\1\u0988\1\u0254\1\u0989\1\u098a\1\u2135"+
-    "\1\u2134\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a"+
-    "\1\11\1\u0980\1\u098e\1\u0985\2\0\1\u0145\23\0\1\u066b"+
-    "\3\0\1\u3298\3\0\1\u023d\4\0\1\u023d\1\0\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u0da5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u15ac\1\u09ca"+
-    "\1\u0da6\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u29ba\1\u1525"+
-    "\1\u0996\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u098e\1\u15ac\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u1553\1\u1525\1\u32f4\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981"+
-    "\1\u0254\1\u0982\2\u0980\1\u099c\1\u0983\1\u0984\1\u0985\1\u0986"+
-    "\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u2133\1\u2138"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u0980\1\u098e\1\u0985\1\11\1\106\1\u0265\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u322a\1\u1521\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263"+
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-    "\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u20df"+
-    "\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33\1\u151f"+
-    "\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u1520\1\u0a05\1\u0a06\1\u0a07"+
-    "\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u32f5\1\106"+
-    "\1\u016a\1\11\1\u20df\1\u32f5\1\u0a35\1\11\1\106\1\u0974"+
-    "\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3\1\u32f6\1\u09c5"+
-    "\2\u09c2\1\u09c6\1\u09c7\1\u1594\1\u09c9\1\u09ca\1\u09cb\1\u09cc"+
-    "\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c\1\u0990\1\0"+
-    "\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u09c2\1\u098e"+
-    "\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1"+
-    "\1\u1590\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8"+
-    "\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf"+
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-    "\1\u016a\1\11\1\u1590\1\u098e\1\u09c9\1\11\1\106\1\u09b1"+
-    "\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb"+
-    "\1\u09fc\1\u09fd\1\u2109\1\u09ff\1\u1524\1\u0a35\1\u0a02\1\u0a36"+
-    "\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0a56\1\u0a57\1\u09a9"+
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-    "\1\u09aa\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u2109"+
-    "\1\u09ff\1\u152c\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09af\1\106\1\u016a\1\11\1\u09f8\1\u09af\1\u0a35\1\11"+
-    "\1\106\1\u09b1\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9"+
-    "\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u32f7\1\u0a35"+
-    "\1\u0a02\1\u0a03\1\u09a5\1\u0a3f\1\u0a05\1\u0a06\1\u0a07\1\u09b3"+
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-    "\1\u09c3\1\u09c4\1\u09c5\2\u09c2\1\u09e8\1\u09c7\1\u09c8\1\u09c9"+
-    "\1\u09ca\1\u09cb\1\u32f9\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1526"+
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-    "\1\u20d9\1\u09c7\1\u09c8\1\u09c9\1\u09ca\1\u09cb\1\u09cc\1\u09cd"+
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-    "\1\106\1\u016a\1\11\1\u09c2\1\u098e\1\u09c9\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254"+
-    "\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987"+
-    "\1\u025c\1\u3419\1\u0254\1\u0989\1\u098a\1\u1556\1\u1525\1\u0996"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980"+
-    "\1\u098e\1\u0985\1\11\1\106\1\u0974\1\u0250\1\u097e\1\u097f"+
-    "\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977\1\u0983"+
-    "\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254\1\u0989"+
-    "\1\u098a\1\u341a\1\u2134\1\u151d\1\0\1\u0263\1\0\1\u0997"+
-    "\1\106\1\u016a\1\11\1\u0980\1\u0997\1\u0985\1\11\1\106"+
-    "\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa"+
-    "\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u09ff\1\u31cc\1\u0a35\1\u0a02"+
-    "\1\u0a36\1\u09a5\1\u0a04\1\u0a05\1\u0a06\1\u0a07\1\u0a56\1\u0a57"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11"+
-    "\1\u09f8\1\u09aa\1\u0a35\1\11\1\106\1\u0265\1\u096b\1\u0266"+
-    "\1\u09f6\1\u09f7\1\u09f8\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd"+
-    "\1\u1519\1\u09ff\1\u152c\1\u0a35\1\u0a02\1\u0a03\1\u09a5\1\u1522"+
-    "\1\u0a05\1\u0a06\1\u0a07\1\u1523\1\u09ae\1\u09a9\1\0\1\u0263"+
-    "\1\0\1\u341b\1\106\1\u016a\1\11\1\u09f8\1\u341b\1\u0a35"+
-    "\1\11\1\106\1\u09b1\1\u096b\1\u0266\1\u09b5\1\u0268\1\u09b6"+
-    "\1\u09b7\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u09b6\1\u09bb"+
-    "\1\u09bc\1\u09a4\1\u154d\1\u09b2\1\u0269\1\u09bd\1\u09be\1\u1518"+
-    "\1\u0a57\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a"+
-    "\1\11\1\u09b6\1\u09b4\1\u09bb\2\0\1\u0145\6\0\1\u3414"+
-    "\14\0\1\u066b\7\0\1\u023d\4\0\1\u023d\1\0\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u158f\1\u09c2\1\u09c3"+
-    "\1\u09c4\1\u09d1\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca"+
-    "\1\u09cb\1\u09cc\1\u09d2\1\u09c4\1\u09ce\1\u09cf\1\u0993\1\u098c"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u3249\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u3249\1\u09c9\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u341c\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u0995\1\u098c\1\u0996\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u096a\1\u096b\1\u0266\1\u09b5\1\u0268\1\u0269\1\u09b7"+
-    "\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u341d\1\u09bb\1\u09bc"+
-    "\1\u09a4\1\u096f\1\u09a6\1\u0269\1\u09bd\1\u09be\1\u0970\1\u0971"+
-    "\1\u0972\1\0\1\u0263\1\0\1\u0973\1\106\1\u016a\1\11"+
-    "\1\u0269\1\u0973\1\u09bb\7\0\1\u341e\13\0\1\u341f\16\0"+
-    "\1\u341e\21\0\1\u3420\50\0\1\u341f\26\0\1\u3421\63\0"+
-    "\1\u3422\20\0\1\11\1\51\1\u0158\1\u0159\1\u016b\1\u015b"+
-    "\1\u015c\1\u015b\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0666"+
-    "\1\u0667\1\u0161\1\u015b\1\u0656\1\u3423\2\u015b\1\u0163\1\u0164"+
-    "\1\u021f\1\u0166\1\u0167\1\0\1\u0168\1\0\1\u0169\1\51"+
-    "\1\u016a\1\11\1\u015b\1\u0169\1\u0161\16\0\1\u3424\26\0"+
-    "\1\11\1\51\1\u065c\1\u0159\1\u016b\1\u015b\1\u015c\1\u015b"+
-    "\1\u015d\1\u015b\1\u015e\2\u015b\1\u015f\1\u0160\1\u015b\1\u0161"+
-    "\1\u015b\1\u0656\1\u3425\1\u066c\1\u015b\1\u0163\1\u0164\1\u066d"+
-    "\1\u0166\1\u0167\1\0\1\u0168\1\0\1\u0169\1\51\1\u016a"+
-    "\1\11\1\u015b\1\u0169\1\u0161\23\0\1\u3426\51\0\1\u3427"+
-    "\36\0\1\u3344\22\0\1\11\1\51\1\u0158\1\u0159\1\u015a"+
-    "\1\u015b\1\u015c\1\u015b\1\u015d\1\u2dfb\1\u015e\2\u015b\1\u015f"+
-    "\1\u0160\1\u015b\1\u0161\2\u015b\1\u0162\2\u015b\1\u0163\1\u0164"+
-    "\1\u0165\1\u0658\1\u01e5\1\0\1\u0168\1\0\1\u0169\1\51"+
-    "\1\u016a\1\11\1\u015b\1\u0169\1\u0161\1\11\1\106\1\u0265"+
-    "\1\u096b\1\u152e\1\u152f\1\u1530\1\u20de\1\u1532\1\u1533\1\u1534"+
-    "\1\u1535\1\u1536\1\u1537\1\u1538\1\u1539\1\u153a\1\u153b\1\u153c"+
-    "\1\u3428\1\u153e\1\u153f\1\u1540\1\u1541\1\u09a7\1\u09a8\1\u09a9"+
-    "\1\0\1\u0263\1\0\1\u09aa\1\106\1\u016a\1\11\1\u20de"+
-    "\1\u09aa\1\u153a\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6"+
-    "\1\u09f7\1\u29af\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519"+
-    "\1\u0a33\1\u151f\1\u0a35\1\u0a02\1\u0a36\1\u3429\1\u0a04\1\u0a05"+
-    "\1\u0a06\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0"+
-    "\1\u09b4\1\106\1\u016a\1\11\1\u29af\1\u09b4\1\u0a35\1\11"+
-    "\1\106\1\u09b1\1\u096b\1\u0266\1\u09b5\1\u0268\1\u09b6\1\u09b7"+
-    "\1\u0269\1\u09b8\2\u09b6\1\u09b9\1\u09ba\1\u09b6\1\u09bb\1\u09bc"+
-    "\1\u09a4\1\u342a\1\u09b2\1\u0269\1\u09bd\1\u09be\1\u1518\1\u0a57"+
-    "\1\u09a9\1\0\1\u0263\1\0\1\u09b4\1\106\1\u016a\1\11"+
-    "\1\u09b6\1\u09b4\1\u09bb\1\11\1\106\1\u0974\1\u0250\1\u097e"+
-    "\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254\1\u0982\2\u0980\1\u0977"+
-    "\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987\1\u025c\1\u0988\1\u0254"+
-    "\1\u0989\1\u098a\1\u1529\1\u158d\1\u0996\1\0\1\u0263\1\0"+
-    "\1\u098e\1\106\1\u016a\1\11\1\u0980\1\u098e\1\u0985\1\11"+
-    "\1\106\1\u0974\1\u0250\1\u09bf\1\u09c0\1\u09c1\1\u09c2\1\u09c3"+
-    "\1\u342b\1\u09c5\2\u09c2\1\u09c6\1\u09c7\1\u09c8\1\u09c9\1\u09ca"+
-    "\1\u09cb\1\u09cc\1\u09cd\1\u09c4\1\u09ce\1\u09cf\1\u1527\1\u1525"+
-    "\1\u0990\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11"+
-    "\1\u09c2\1\u098e\1\u09c9\11\0\1\u341e\65\0\1\u342c\43\0"+
-    "\1\u342d\36\0\1\u342e\40\0\1\u342f\25\0\1\11\1\106"+
-    "\1\u0974\1\u0250\1\u097e\1\u097f\1\u0976\1\u0980\1\u0981\1\u0254"+
-    "\1\u0982\2\u0980\1\u0977\1\u0983\1\u0984\1\u0985\1\u0986\1\u0987"+
-    "\1\u025c\1\u0988\1\u0254\1\u0989\1\u098a\1\u3430\1\u098c\1\u0990"+
-    "\1\0\1\u0263\1\0\1\u098e\1\106\1\u016a\1\11\1\u0980"+
-    "\1\u098e\1\u0985\27\0\1\u3431\34\0\1\u3432\55\0\1\u3433"+
-    "\14\0\1\11\1\106\1\u0265\1\u096b\1\u0266\1\u09f6\1\u09f7"+
-    "\1\u0a32\1\u09f9\1\u09fa\1\u09fb\1\u09fc\1\u09fd\1\u1519\1\u0a33"+
-    "\1\u1b83\1\u0a35\1\u0a02\1\u0a36\1\u09a5\1\u1520\1\u0a05\1\u0a06"+
-    "\1\u0a07\1\u09a7\1\u09a8\1\u09a9\1\0\1\u0263\1\0\1\u09b4"+
-    "\1\106\1\u016a\1\11\1\u0a32\1\u09b4\1\u0a35\11\0\1\u3434"+
-    "\55\0\1\u3435\60\0\1\u3436\4\0\1\u3436\16\0\1\u3437"+
-    "\27\0";
-
-  private static int [] zzUnpackTrans() {
-    int [] result = new int[455211];
-    int offset = 0;
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_0, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_1, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_2, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_3, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_4, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_5, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_6, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_7, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_8, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_9, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_10, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_11, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_12, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_13, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_14, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_15, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_16, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_17, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_18, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_19, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_20, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_21, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackTrans(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      value--;
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-
-  /* error codes */
-  private static final int ZZ_UNKNOWN_ERROR = 0;
-  private static final int ZZ_NO_MATCH = 1;
-  private static final int ZZ_PUSHBACK_2BIG = 2;
-
-  /* error messages for the codes above */
-  private static final String ZZ_ERROR_MSG[] = {
-    "Unkown internal scanner error",
-    "Error: could not match input",
-    "Error: pushback value was too large"
-  };
-
-  /**
-   * ZZ_ATTRIBUTE[aState] contains the attributes of state <code>aState</code>
-   */
-  private static final int [] ZZ_ATTRIBUTE = zzUnpackAttribute();
-
-  private static final String ZZ_ATTRIBUTE_PACKED_0 =
-    "\1\10\7\0\35\1\1\11\113\1\1\0\1\11\321\1"+
-    "\1\0\366\1\2\0\u014a\1\1\0\1\1\17\0\1\1"+
-    "\10\0\u0295\1\1\0\63\1\1\0\u018a\1\1\0\u0132\1"+
-    "\2\0\u053a\1\1\0\1\11\1\1\1\0\1\1\3\0"+
-    "\2\1\5\0\1\1\1\0\1\1\1\11\1\0\2\1"+
-    "\1\0\3\1\1\0\1\11\u0316\1\2\0\36\1\1\0"+
-    "\u0126\1\1\0\210\1\1\11\u0167\1\1\0\u0714\1\1\11"+
-    "\1\1\2\11\2\0\4\1\2\11\3\1\4\0\5\1"+
-    "\1\11\2\1\1\0\1\1\2\0\1\1\1\11\u01dc\1"+
-    "\1\0\141\1\1\11\1\0\16\1\1\0\u0116\1\2\0"+
-    "\43\1\1\0\u0114\1\1\11\u05c5\1\4\11\3\0\2\1"+
-    "\1\0\1\1\1\11\1\1\1\0\1\11\1\0\1\1"+
-    "\3\11\1\0\1\11\5\0\155\1\1\0\104\1\1\0"+
-    "\127\1\1\0\131\1\1\0\16\1\1\0\15\1\1\0"+
-    "\22\1\1\0\125\1\1\0\7\1\1\0\31\1\2\0"+
-    "\34\1\1\0\160\1\1\0\u03e9\1\4\11\2\1\1\0"+
-    "\1\11\1\0\3\11\42\1\1\0\45\1\1\11\3\1"+
-    "\1\0\45\1\2\0\14\1\1\0\40\1\1\11\6\1"+
-    "\1\0\10\1\1\0\12\1\1\0\1\1\1\0\31\1"+
-    "\1\0\31\1\1\0\5\1\2\0\20\1\2\0\20\1"+
-    "\1\0\35\1\2\0\11\1\1\0\37\1\1\0\75\1"+
-    "\1\0\u01e9\1\1\11\1\0\1\1\1\11\10\1\1\0"+
-    "\1\1\1\0\17\1\1\0\1\1\1\0\14\1\1\11"+
-    "\1\0\4\1\1\0\12\1\2\0\4\1\1\0\7\1"+
-    "\1\0\1\1\1\0\21\1\2\0\12\1\1\0\4\1"+
-    "\1\0\2\1\1\0\3\1\1\0\1\1\1\0\2\1"+
-    "\2\0\11\1\1\0\21\1\2\0\1\1\1\0\24\1"+
-    "\1\0\16\1\1\0\24\1\1\0\354\1\1\11\2\1"+
-    "\2\0\1\11\6\1\1\11\2\0\5\1\2\0\3\1"+
-    "\3\0\1\1\1\0\1\1\2\0\12\1\2\0\2\1"+
-    "\1\0\1\1\3\0\1\1\1\11\1\0\1\1\2\0"+
-    "\5\1\2\0\7\1\3\0\3\1\1\0\1\1\1\0"+
-    "\3\1\1\0\11\1\1\0\12\1\1\0\152\1\1\11"+
-    "\2\0\1\1\1\11\1\0\2\11\1\1\6\0\7\1"+
-    "\2\0\2\1\1\0\1\1\1\0\1\11\2\0\1\1"+
-    "\1\11\1\0\4\1\2\0\3\1\2\0\1\11\2\1"+
-    "\1\0\1\1\2\0\4\1\1\0\4\1\1\0\55\1"+
-    "\1\11\1\0\1\1\3\0\1\11\2\0\2\1\1\0"+
-    "\1\11\1\1\3\0\1\1\1\11\2\1\1\0\2\1"+
-    "\2\0\2\1\1\0\1\1\1\0\1\11\3\1\1\11"+
-    "\3\1\1\0\26\1\1\11\2\0\1\11\2\0\1\1"+
-    "\3\0\2\1\3\0\1\1\1\0\1\1\1\0\4\1"+
-    "\1\0\13\1\2\0\2\11\3\0\1\1\1\0\2\11"+
-    "\1\1\3\0\1\1\1\11\6\1\2\11\3\0\1\1"+
-    "\1\0\1\1\1\11\1\0\4\1\2\0\1\11\1\0"+
-    "\1\1\1\11\2\0\1\11\2\0\1\11";
-
-  private static int [] zzUnpackAttribute() {
-    int [] result = new int[13367];
-    int offset = 0;
-    offset = zzUnpackAttribute(ZZ_ATTRIBUTE_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackAttribute(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-  /** the input device */
-  private java.io.Reader zzReader;
-
-  /** the current state of the DFA */
-  private int zzState;
-
-  /** the current lexical state */
-  private int zzLexicalState = YYINITIAL;
-
-  /** this buffer contains the current text to be matched and is
-      the source of the yytext() string */
-  private char zzBuffer[] = new char[ZZ_BUFFERSIZE];
-
-  /** the textposition at the last accepting state */
-  private int zzMarkedPos;
-
-  /** the current text position in the buffer */
-  private int zzCurrentPos;
-
-  /** startRead marks the beginning of the yytext() string in the buffer */
-  private int zzStartRead;
-
-  /** endRead marks the last character in the buffer, that has been read
-      from input */
-  private int zzEndRead;
-
-  /** number of newlines encountered up to the start of the matched text */
-  private int yyline;
-
-  /** the number of characters up to the start of the matched text */
-  private int yychar;
-
-  /**
-   * the number of characters from the last newline up to the start of the 
-   * matched text
-   */
-  private int yycolumn;
-
-  /** 
-   * zzAtBOL == true <=> the scanner is currently at the beginning of a line
-   */
-  private boolean zzAtBOL = true;
-
-  /** zzAtEOF == true <=> the scanner is at the EOF */
-  private boolean zzAtEOF;
-
-  /** denotes if the user-EOF-code has already been executed */
-  private boolean zzEOFDone;
-
-  /** For the backwards DFA of general lookahead statements */
-  private boolean [] zzFin = new boolean [ZZ_BUFFERSIZE+1];
-
-  /* user code: */
-
-  private static final Logger LOGGER = Logger.getLogger(Morphology.class.getName());
-
- /** If this option is set, print the word affix after a + character */
- private final static int print_affixes = 0;  
- /** If this option is set, lowercase all tokens */
- private final static int change_case = 1;
- /** Return the tags on the input words if present?? */
- private final static int tag_output= 2;
-
-  //accessors for the options maintained as booleans
-  private final boolean[] options;
-  private static final int NUM_OPTIONS = 3;
-  void setOption(int i, boolean b)	 { options[i] = b; }
-  boolean  option(int i)	{ return (options[i]); }
-  void setOptions(int opts) {
-    for (int i = 0; i < NUM_OPTIONS; i++) {
-      setOption(i, (opts & (1 << i)) != 0);
-    }
-  }
-
- private final static boolean noTags = false;
-
- // A list of verbs that have doubling of consonants 
- // this list can be rebuilt with the main method in process.Morphology!
- // the verb stem list lives in "/u/nlp/data/morph/verbstem.list"
- private static final String[] verbStems = { "abat", 
-    "abet", "abhor", "abut", "accur", "acquit", 
-    "adlib", "admit", "aerobat", "aerosol", "agendaset", 
-    "allot", "alot", "anagram", "annul", "appal", 
-    "apparel", "armbar", "aver", "babysit", "airdrop", 
-    "appal", "blackleg", "bobsled", "bur", "chum", 
-    "confab", "counterplot", "curet", "dib", "backdrop", 
-    "backfil", "backflip", "backlog", "backpedal", "backslap", 
-    "backstab", "bag", "balfun", "ballot", "ban", 
-    "bar", "barbel", "bareleg", "barrel", "bat", 
-    "bayonet", "becom", "bed", "bedevil", "bedwet", 
-    "beenhop", "befit", "befog", "beg", "beget", 
-    "begin", "bejewel", "bemedal", "benefit", "benum", 
-    "beset", "besot", "bestir", "bet", "betassel", 
-    "bevel", "bewig", "bib", "bid", "billet", 
-    "bin", "bip", "bit", "bitmap", "blab", 
-    "blag", "blam", "blan", "blat", "bles", 
-    "blim", "blip", "blob", "bloodlet", "blot", 
-    "blub", "blur", "bob", "bodypop", "bog", 
-    "booby-trap", "boobytrap", "booksel", "bootleg", "bop", 
-    "bot", "bowel", "bracket", "brag", "brig", 
-    "brim", "bud", "buffet", "bug", "bullshit", 
-    "bum", "bun", "bus", "but", "cab", 
-    "cabal", "cam", "can", "cancel", "cap", 
-    "caracol", "caravan", "carburet", "carnap", "carol", 
-    "carpetbag", "castanet", "cat", "catcal", "catnap", 
-    "cavil", "chan", "chanel", "channel", "chap", 
-    "char", "chargecap", "chat", "chin", "chip", 
-    "chir", "chirrup", "chisel", "chop", "chug", 
-    "chur", "clam", "clap", "clearcut", "clip", 
-    "clodhop", "clog", "clop", "closet", "clot", 
-    "club", "co-occur", "co-program", "co-refer", "co-run", 
-    "co-star", "cob", "cobweb", "cod", "coif", 
-    "com", "combat", "comit", "commit", "compel", 
-    "con", "concur", "confer", "confiscat", "control", 
-    "cop", "coquet", "coral", "corbel", "corral", 
-    "cosset", "cotransmit", "councel", "council", "counsel", 
-    "court-martial", "crab", "cram", "crap", "crib", 
-    "crop", "crossleg", "cub", "cudgel", "cum", 
-    "cun", "cup", "cut", "dab", "dag", 
-    "dam", "dan", "dap", "daysit", "de-control", 
-    "de-gazet", "de-hul", "de-instal", "de-mob", "de-program", 
-    "de-rig", "de-skil", "deadpan", "debag", "debar", 
-    "debug", "decommit", "decontrol", "defer", "defog", 
-    "deg", "degas", "deinstal", "demit", "demob", 
-    "demur", "den", "denet", "depig", "depip", 
-    "depit", "der", "deskil", "deter", "devil", 
-    "diagram", "dial", "dig", "dim", "din", 
-    "dip", "disbar", "disbud", "discomfit", "disembed", 
-    "disembowel", "dishevel", "disinter", "dispel", "disprefer", 
-    "distil", "dog", "dognap", "don", "doorstep", 
-    "dot", "dowel", "drag", "drat", "driftnet", 
-    "distil", "egotrip", "enrol", "enthral", "extol", 
-    "fulfil", "gaffe", "golliwog", "idyl", "inspan", 
-    "drip", "drivel", "drop", "drub", "drug", 
-    "drum", "dub", "duel", "dun", "dybbuk", 
-    "earwig", "eavesdrop", "ecolabel", "eitherspigot", "electroblot", 
-    "embed", "emit", "empanel", "enamel", "endlabel", 
-    "endtrim", "enrol", "enthral", "entrammel", "entrap", 
-    "enwrap", "equal", "equip", "estop", "exaggerat", 
-    "excel", "expel", "extol", "fag", "fan", 
-    "farewel", "fat", "featherbed", "feget", "fet", 
-    "fib", "fig", "fin", "fingerspel", "fingertip", 
-    "fit", "flab", "flag", "flap", "flip", 
-    "flit", "flog", "flop", "fob", "focus", 
-    "fog", "footbal", "footslog", "fop", "forbid", 
-    "forget", "format", "fortunetel", "fot", "foxtrot", 
-    "frag", "freefal", "fret", "frig", "frip", 
-    "frog", "frug", "fuel", "fufil", "fulfil", 
-    "fullyfit", "fun", "funnel", "fur", "furpul", 
-    "gab", "gad", "gag", "gam", "gambol", 
-    "gap", "garot", "garrot", "gas", "gat", 
-    "gel", "gen", "get", "giftwrap", "gig", 
-    "gimbal", "gin", "glam", "glenden", "glendin", 
-    "globetrot", "glug", "glut", "gob", "goldpan", 
-    "goostep", "gossip", "grab", "gravel", "grid", 
-    "grin", "grip", "grit", "groundhop", "grovel", 
-    "grub", "gum", "gun", "gunrun", "gut", 
-    "gyp", "haircut", "ham", "han", "handbag", 
-    "handicap", "handknit", "handset", "hap", "hareleg", 
-    "hat", "headbut", "hedgehop", "hem", "hen", 
-    "hiccup", "highwal", "hip", "hit", "hobnob", 
-    "hog", "hop", "horsewhip", "hostel", "hot", 
-    "hotdog", "hovel", "hug", "hum", "humbug", 
-    "hup", "hushkit", "hut", "illfit", "imbed", 
-    "immunblot", "immunoblot", "impannel", "impel", "imperil", 
-    "incur", "infer", "infil", "inflam", "initial", 
-    "input", "inset", "instil", "inter", "interbed", 
-    "intercrop", "intercut", "interfer", "instal", "instil", 
-    "intermit", "japan", "jug", "kris", "manumit", 
-    "mishit", "mousse", "mud", "interwar", "jab", 
-    "jag", "jam", "jar", "jawdrop", "jet", 
-    "jetlag", "jewel", "jib", "jig", "jitterbug", 
-    "job", "jog", "jog-trot", "jot", "jut", 
-    "ken", "kennel", "kid", "kidnap", "kip", 
-    "kissogram", "kit", "knap", "kneecap", "knit", 
-    "knob", "knot", "kor", "label", "lag", 
-    "lam", "lap", "lavel", "leafcut", "leapfrog", 
-    "leg", "lem", "lep", "let", "level", 
-    "libel", "lid", "lig", "lip", "lob", 
-    "log", "lok", "lollop", "longleg", "lop", 
-    "lowbal", "lug", "mackerel", "mahom", "man", 
-    "map", "mar", "marshal", "marvel", "mat", 
-    "matchwin", "metal", "micro-program", "microplan", "microprogram", 
-    "milksop", "mis-cal", "mis-club", "mis-spel", "miscal", 
-    "mishit", "mislabel", "mit", "mob", "mod", 
-    "model", "mohmam", "monogram", "mop", "mothbal", 
-    "mug", "multilevel", "mum", "nab", "nag", 
-    "nan", "nap", "net", "nightclub", "nightsit", 
-    "nip", "nod", "nonplus", "norkop", "nostril", 
-    "not", "nut", "nutmeg", "occur", "ocur", 
-    "offput", "offset", "omit", "ommit", "onlap", 
-    "out-general", "out-gun", "out-jab", "out-plan", "out-pol", 
-    "out-pul", "out-put", "out-run", "out-sel", "outbid", 
-    "outcrop", "outfit", "outgas", "outgun", "outhit", 
-    "outjab", "outpol", "output", "outrun", "outship", 
-    "outshop", "outsin", "outstrip", "outswel", "outspan", 
-    "overcrop", "pettifog", "photostat", "pouf", "preset", 
-    "prim", "pug", "ret", "rosin", "outwit", 
-    "over-commit", "over-control", "over-fil", "over-fit", "over-lap", 
-    "over-model", "over-pedal", "over-pet", "over-run", "over-sel", 
-    "over-step", "over-tip", "over-top", "overbid", "overcal", 
-    "overcommit", "overcontrol", "overcrap", "overdub", "overfil", 
-    "overhat", "overhit", "overlap", "overman", "overplot", 
-    "overrun", "overshop", "overstep", "overtip", "overtop", 
-    "overwet", "overwil", "pad", "paintbal", "pan", 
-    "panel", "paperclip", "par", "parallel", "parcel", 
-    "partiescal", "pat", "patrol", "pedal", "peewit", 
-    "peg", "pen", "pencil", "pep", "permit", 
-    "pet", "petal", "photoset", "phototypeset", "phut", 
-    "picket", "pig", "pilot", "pin", "pinbal", 
-    "pip", "pipefit", "pipet", "pit", "plan", 
-    "plit", "plod", "plop", "plot", "plug", 
-    "plumet", "plummet", "pod", "policyset", "polyfil", 
-    "ponytrek", "pop", "pot", "pram", "prebag", 
-    "predistil", "predril", "prefer", "prefil", "preinstal", 
-    "prep", "preplan", "preprogram", "prizewin", "prod", 
-    "profer", "prog", "program", "prop", "propel", 
-    "pub", "pummel", "pun", "pup", "pushfit", 
-    "put", "quarel", "quarrel", "quickskim", "quickstep", 
-    "quickwit", "quip", "quit", "quivertip", "quiz", 
-    "rabbit", "rabit", "radiolabel", "rag", "ram", 
-    "ramrod", "rap", "rat", "ratecap", "ravel", 
-    "re-admit", "re-cal", "re-cap", "re-channel", "re-dig", 
-    "re-dril", "re-emit", "re-fil", "re-fit", "re-flag", 
-    "re-format", "re-fret", "re-hab", "re-instal", "re-inter", 
-    "re-lap", "re-let", "re-map", "re-metal", "re-model", 
-    "re-pastel", "re-plan", "re-plot", "re-plug", "re-pot", 
-    "re-program", "re-refer", "re-rig", "re-rol", "re-run", 
-    "re-sel", "re-set", "re-skin", "re-stal", "re-submit", 
-    "re-tel", "re-top", "re-transmit", "re-trim", "re-wrap", 
-    "readmit", "reallot", "rebel", "rebid", "rebin", 
-    "rebut", "recap", "rechannel", "recommit", "recrop", 
-    "recur", "recut", "red", "redril", "refer", 
-    "refit", "reformat", "refret", "refuel", "reget", 
-    "regret", "reinter", "rejig", "rekit", "reknot", 
-    "relabel", "relet", "rem", "remap", "remetal", 
-    "remit", "remodel", "reoccur", "rep", "repel", 
-    "repin", "replan", "replot", "repol", "repot", 
-    "reprogram", "rerun", "reset", "resignal", "resit", 
-    "reskil", "resubmit", "retransfer", "retransmit", "retro-fit", 
-    "retrofit", "rev", "revel", "revet", "rewrap", 
-    "rib", "richochet", "ricochet", "rid", "rig", 
-    "rim", "ringlet", "rip", "rit", "rival", 
-    "rivet", "roadrun", "rob", "rocket", "rod", 
-    "roset", "rot", "rowel", "rub", "run", 
-    "runnel", "rut", "sab", "sad", "sag", 
-    "sandbag", "sap", "scab", "scalpel", "scam", 
-    "scan", "scar", "scat", "schlep", "scrag", 
-    "scram", "shall", "sled", "smut", "stet", 
-    "sulfuret", "trepan", "unrip", "unstop", "whir", 
-    "whop", "wig", "scrap", "scrat", "scrub", 
-    "scrum", "scud", "scum", "scur", "semi-control", 
-    "semi-skil", "semi-skim", "semiskil", "sentinel", "set", 
-    "shag", "sham", "shed", "shim", "shin", 
-    "ship", "shir", "shit", "shlap", "shop", 
-    "shopfit", "shortfal", "shot", "shovel", "shred", 
-    "shrinkwrap", "shrivel", "shrug", "shun", "shut", 
-    "side-step", "sideslip", "sidestep", "signal", "sin", 
-    "sinbin", "sip", "sit", "skid", "skim", 
-    "skin", "skip", "skir", "skrag", "slab", 
-    "slag", "slam", "slap", "slim", "slip", 
-    "slit", "slob", "slog", "slop", "slot", 
-    "slowclap", "slug", "slum", "slur", "smit", 
-    "snag", "snap", "snip", "snivel", "snog", 
-    "snorkel", "snowcem", "snub", "snug", "sob", 
-    "sod", "softpedal", "son", "sop", "spam", 
-    "span", "spar", "spat", "spiderweb", "spin", 
-    "spiral", "spit", "splat", "split", "spot", 
-    "sprag", "spraygun", "sprig", "springtip", "spud", 
-    "spur", "squat", "squirrel", "stab", "stag", 
-    "star", "stem", "sten", "stencil", "step", 
-    "stir", "stop", "storytel", "strap", "strim", 
-    "strip", "strop", "strug", "strum", "strut", 
-    "stub", "stud", "stun", "sub", "subcrop", 
-    "sublet", "submit", "subset", "suedetrim", "sum", 
-    "summit", "sun", "suntan", "sup", "super-chil", 
-    "superad", "swab", "swag", "swan", "swap", 
-    "swat", "swig", "swim", "swivel", "swot", 
-    "tab", "tag", "tan", "tansfer", "tap", 
-    "tar", "tassel", "tat", "tefer", "teleshop", 
-    "tendril", "terschel", "th'strip", "thermal", "thermostat", 
-    "thin", "throb", "thrum", "thud", "thug", 
-    "tightlip", "tin", "tinsel", "tip", "tittup", 
-    "toecap", "tog", "tom", "tomorrow", "top", 
-    "tot", "total", "towel", "traget", "trainspot", 
-    "tram", "trammel", "transfer", "tranship", "transit", 
-    "transmit", "transship", "trap", "travel", "trek", 
-    "trendset", "trim", "trip", "tripod", "trod", 
-    "trog", "trot", "trousseaushop", "trowel", "trup", 
-    "tub", "tug", "tunnel", "tup", "tut", 
-    "twat", "twig", "twin", "twit", "typeset", 
-    "tyset", "un-man", "unban", "unbar", "unbob", 
-    "uncap", "unclip", "uncompel", "undam", "under-bil", 
-    "under-cut", "under-fit", "under-pin", "under-skil", "underbid", 
-    "undercut", "underlet", "underman", "underpin", "unfit", 
-    "unfulfil", "unknot", "unlip", "unlywil", "unman", 
-    "unpad", "unpeg", "unpin", "unplug", "unravel", 
-    "unrol", "unscrol", "unsnap", "unstal", "unstep", 
-    "unstir", "untap", "unwrap", "unzip", "up", 
-    "upset", "upskil", "upwel", "ven", "verbal", 
-    "vet", "victual", "vignet", "wad", "wag", 
-    "wainscot", "wan", "war", "water-log", "waterfal", 
-    "waterfil", "waterlog", "weasel", "web", "wed", 
-    "wet", "wham", "whet", "whip", "whir", 
-    "whiteskin", "whiz", "whup", "wildcat", "win", 
-    "windmil", "wit", "woodchop", "woodcut", "wor", 
-    "worship", "wrap", "will", "wiretap", "yen", 
-    "yak", "yap", "yarnspin", "yip", "yodel", 
-    "zag", "zap", "zig", "zig-zag", "zigzag", 
-    "zip", "ztrip" };
-
- private final Set<String> verbStemSet;
-
- String ynull_stem() {
-	return common_noun_stem();
- }
-
-
-  private String common_noun_stem() {
-    String lower=yytext();
-    if (option(change_case)) {
-      lower=lower.toLowerCase();
-    }
-    return lower;	
-  }
-
-  private String proper_name_stem() {
-    return yytext();
-  }
-
-
-  /**
-   * Capitalizes the first letter and lower-cases every consecutive letter.
-   */
-  private static String capitalise(String s) {
-    if(s.length()==0){return s;}
-
-  StringBuilder s1=new StringBuilder(s);
-  if (Character.isLowerCase(s1.charAt(0))){
-    s1.setCharAt(0,Character.toUpperCase(s1.charAt(0)));
-  }	
-  for(int j=1;j<s1.length();j++){
-    if(Character.isUpperCase(s1.charAt(j))){
-      s1.setCharAt(j,Character.toLowerCase(s1.charAt(j)));
-    }
-  }
-  return s1.toString();
-  }
-
-
-/**
- * Loads a list of words from the array and stores them in a HashSet.
- */
-private Set<String> loadVerbStemSet(String[] verbStems) {
-  HashSet<String> set = new HashSet<String>(verbStems.length);
-  for (String stem : verbStems) {
-    set.add(stem);
-  }
-  return set;
-}    
-
-
-String condub_stem(int del, String add, String affix) {
-  StringBuilder yytextBuff;
-  if (option(change_case)) {
-    yytextBuff = new StringBuilder(yytext().toLowerCase());
-  } else {
-    yytextBuff = new StringBuilder(yytext());
-  }
-
-  int stem_length = yylength() - del;
-  char d = yytextBuff.charAt(stem_length - 1);
-  if (del > 0) { yytextBuff.setLength(stem_length-1); }
-
-  if ( ! verbStemSet.contains(yytextBuff.toString().toLowerCase())) {
-    yytextBuff.append(d);
-  } 
-
-  if (option(print_affixes)) { yytextBuff.append('+'); yytextBuff.append(affix); }
-
-  return yytextBuff.toString();
-}
-
-
-  /** word is a singular- or plural-only noun. */
-  String xnull_stem() {
-    return common_noun_stem();
-  }
-
-  /** this form is actually the stem so don't apply any generic analysis rules.
-   */
-  String cnull_stem() {
-    return common_noun_stem();
-  }
-
-
-  /** the +ed/+en form is the same as the stem */
-  String null_stem() {
-    return common_noun_stem();
-  }
-
-  /** Delete del letters from end of token, and append string add to
-   *  give stem.  Return affix as the affix of the word.
-   */
-  private String stem(int del, String add, String affix) {
-    int stem_length = yylength() - del;
-    int i = 0;
-
-    String result=yytext().substring(0,stem_length); 
-
-    if (option(change_case)) { result=result.toLowerCase(); }
-    if (!(add.length()==0)) result+=add;
-
-    if(option(print_affixes)) { result+=("+"+affix); }
-
-    return result;
-  }
-
-
-  private String semi_reg_stem(int del, String add) {
-    int stem_length = 0;
-    int i = 0;
-    String affix="";
- 
-    char[] yytext=yytext().toCharArray();
-    int yyleng=yylength(); 
-
-     if (yytext[yyleng-1] == 's' || yytext[yyleng-1] == 'S') {
-       stem_length = yyleng - 2 - del; 
-       affix = "s"; 
-     }
-     if (yytext[yyleng-1] == 'd' || yytext[yyleng-1] == 'D') {
-       stem_length = yyleng - 2 - del; 
-       affix = "ed"; 
-     }
-     if (yytext[yyleng-1] == 'g' || yytext[yyleng-1] == 'G') {
-       stem_length = yyleng - 3 - del; 
-       affix = "ing"; 
-     }
-
-    String result=yytext().substring(0,stem_length);
-
-    if(option(change_case)){
-      result=result.toLowerCase();
-    }
-
-    result+=add;
-    if (option(print_affixes)) {
-      result+="+"+affix; 
-    }
- 
-    return result;
-   }
-
-
-
-  /**
-   * Creates a new scanner
-   * There is also a java.io.InputStream version of this constructor.
-   *
-   * @param   in  the java.io.Reader to read input from.
-   */
-  Morpha(java.io.Reader in) {
-    options = new boolean[NUM_OPTIONS];
-  for (int j=0;j<options.length;j++) {
-    options[j] = true;
-  }
-  options[0]=false;
-  verbStemSet = loadVerbStemSet(verbStems);
-  if (noTags) { 
-    yybegin(any);
-  } else {
-    yybegin(scan);
-  }
-    this.zzReader = in;
-  }
-
-  /**
-   * Creates a new scanner.
-   * There is also java.io.Reader version of this constructor.
-   *
-   * @param   in  the java.io.Inputstream to read input from.
-   */
-  Morpha(java.io.InputStream in) {
-    this(new java.io.InputStreamReader(in));
-  }
-
-  /** 
-   * Unpacks the compressed character translation table.
-   *
-   * @param packed   the packed character translation table
-   * @return         the unpacked character translation table
-   */
-  private static char [] zzUnpackCMap(String packed) {
-    char [] map = new char[0x10000];
-    int i = 0;  /* index in packed string  */
-    int j = 0;  /* index in unpacked array */
-    while (i < 156) {
-      int  count = packed.charAt(i++);
-      char value = packed.charAt(i++);
-      do map[j++] = value; while (--count > 0);
-    }
-    return map;
-  }
-
-
-  /**
-   * Refills the input buffer.
-   *
-   * @return      <code>false</code>, iff there was new input.
-   * 
-   * @exception   java.io.IOException  if any I/O-Error occurs
-   */
-  private boolean zzRefill() throws java.io.IOException {
-
-    /* first: make room (if you can) */
-    if (zzStartRead > 0) {
-      System.arraycopy(zzBuffer, zzStartRead,
-                       zzBuffer, 0,
-                       zzEndRead-zzStartRead);
-
-      /* translate stored positions */
-      zzEndRead-= zzStartRead;
-      zzCurrentPos-= zzStartRead;
-      zzMarkedPos-= zzStartRead;
-      zzStartRead = 0;
-    }
-
-    /* is the buffer big enough? */
-    if (zzCurrentPos >= zzBuffer.length) {
-      /* if not: blow it up */
-      char newBuffer[] = new char[zzCurrentPos*2];
-      System.arraycopy(zzBuffer, 0, newBuffer, 0, zzBuffer.length);
-      zzBuffer = newBuffer;
-    }
-
-    /* finally: fill the buffer with new input */
-    int numRead = zzReader.read(zzBuffer, zzEndRead,
-                                            zzBuffer.length-zzEndRead);
-
-    if (numRead > 0) {
-      zzEndRead+= numRead;
-      return false;
-    }
-    // unlikely but not impossible: read 0 characters, but not at end of stream    
-    if (numRead == 0) {
-      int c = zzReader.read();
-      if (c == -1) {
-        return true;
-      } else {
-        zzBuffer[zzEndRead++] = (char) c;
-        return false;
-      }     
-    }
-
-	// numRead < 0
-    return true;
-  }
-
-    
-  /**
-   * Closes the input stream.
-   */
-  public final void yyclose() throws java.io.IOException {
-    zzAtEOF = true;            /* indicate end of file */
-    zzEndRead = zzStartRead;  /* invalidate buffer    */
-
-    if (zzReader != null)
-      zzReader.close();
-  }
-
-
-  /**
-   * Resets the scanner to read from a new input stream.
-   * Does not close the old reader.
-   *
-   * All internal variables are reset, the old input stream 
-   * <b>cannot</b> be reused (internal buffer is discarded and lost).
-   * Lexical state is set to <tt>ZZ_INITIAL</tt>.
-   *
-   * @param reader   the new input stream 
-   */
-  public final void yyreset(java.io.Reader reader) {
-    zzReader = reader;
-    zzAtBOL  = true;
-    zzAtEOF  = false;
-    zzEOFDone = false;
-    zzEndRead = zzStartRead = 0;
-    zzCurrentPos = zzMarkedPos = 0;
-    yyline = yychar = yycolumn = 0;
-    zzLexicalState = YYINITIAL;
-  }
-
-
-  /**
-   * Returns the current lexical state.
-   */
-  public final int yystate() {
-    return zzLexicalState;
-  }
-
-
-  /**
-   * Enters a new lexical state
-   *
-   * @param newState the new lexical state
-   */
-  public final void yybegin(int newState) {
-    zzLexicalState = newState;
-  }
-
-
-  /**
-   * Returns the text matched by the current regular expression.
-   */
-  public final String yytext() {
-    return new String( zzBuffer, zzStartRead, zzMarkedPos-zzStartRead );
-  }
-
-
-  /**
-   * Returns the character at position <tt>pos</tt> from the 
-   * matched text. 
-   * 
-   * It is equivalent to yytext().charAt(pos), but faster
-   *
-   * @param pos the position of the character to fetch. 
-   *            A value from 0 to yylength()-1.
-   *
-   * @return the character at position pos
-   */
-  public final char yycharat(int pos) {
-    return zzBuffer[zzStartRead+pos];
-  }
-
-
-  /**
-   * Returns the length of the matched text region.
-   */
-  public final int yylength() {
-    return zzMarkedPos-zzStartRead;
-  }
-
-
-  /**
-   * Reports an error that occured while scanning.
-   *
-   * In a wellformed scanner (no or only correct usage of 
-   * yypushback(int) and a match-all fallback rule) this method 
-   * will only be called with things that "Can't Possibly Happen".
-   * If this method is called, something is seriously wrong
-   * (e.g. a JFlex bug producing a faulty scanner etc.).
-   *
-   * Usual syntax/scanner level error handling should be done
-   * in error fallback rules.
-   *
-   * @param   errorCode  the code of the errormessage to display
-   */
-  private void zzScanError(int errorCode) {
-    String message;
-    try {
-      message = ZZ_ERROR_MSG[errorCode];
-    }
-    catch (ArrayIndexOutOfBoundsException e) {
-      message = ZZ_ERROR_MSG[ZZ_UNKNOWN_ERROR];
-    }
-
-    throw new Error(message);
-  } 
-
-
-  /**
-   * Pushes the specified amount of characters back into the input stream.
-   *
-   * They will be read again by then next call of the scanning method
-   *
-   * @param number  the number of characters to be read again.
-   *                This number must not be greater than yylength()!
-   */
-  public void yypushback(int number)  {
-    if ( number > yylength() )
-      zzScanError(ZZ_PUSHBACK_2BIG);
-
-    zzMarkedPos -= number;
-  }
-
-
-  /**
-   * Resumes scanning until the next regular expression is matched,
-   * the end of input is encountered or an I/O-Error occurs.
-   *
-   * @return      the next token
-   * @exception   java.io.IOException  if any I/O-Error occurs
-   */
-  public String next() throws java.io.IOException {
-    int zzInput;
-    int zzAction;
-
-    // cached fields:
-    int zzCurrentPosL;
-    int zzMarkedPosL;
-    int zzEndReadL = zzEndRead;
-    char [] zzBufferL = zzBuffer;
-    char [] zzCMapL = ZZ_CMAP;
-
-    int [] zzTransL = ZZ_TRANS;
-    int [] zzRowMapL = ZZ_ROWMAP;
-    int [] zzAttrL = ZZ_ATTRIBUTE;
-
-    while (true) {
-      zzMarkedPosL = zzMarkedPos;
-
-      zzAction = -1;
-
-      zzCurrentPosL = zzCurrentPos = zzStartRead = zzMarkedPosL;
-  
-      zzState = ZZ_LEXSTATE[zzLexicalState];
-
-
-      zzForAction: {
-        while (true) {
-    
-          if (zzCurrentPosL < zzEndReadL)
-            zzInput = zzBufferL[zzCurrentPosL++];
-          else if (zzAtEOF) {
-            zzInput = YYEOF;
-            break zzForAction;
-          }
-          else {
-            // store back cached positions
-            zzCurrentPos  = zzCurrentPosL;
-            zzMarkedPos   = zzMarkedPosL;
-            boolean eof = zzRefill();
-            // get translated positions and possibly new buffer
-            zzCurrentPosL  = zzCurrentPos;
-            zzMarkedPosL   = zzMarkedPos;
-            zzBufferL      = zzBuffer;
-            zzEndReadL     = zzEndRead;
-            if (eof) {
-              zzInput = YYEOF;
-              break zzForAction;
-            }
-            else {
-              zzInput = zzBufferL[zzCurrentPosL++];
-            }
-          }
-          int zzNext = zzTransL[ zzRowMapL[zzState] + zzCMapL[zzInput] ];
-          if (zzNext == -1) break zzForAction;
-          zzState = zzNext;
-
-          int zzAttributes = zzAttrL[zzState];
-          if ( (zzAttributes & 1) == 1 ) {
-            zzAction = zzState;
-            zzMarkedPosL = zzCurrentPosL;
-            if ( (zzAttributes & 8) == 8 ) break zzForAction;
-          }
-
-        }
-      }
-
-      // store back cached position
-      zzMarkedPos = zzMarkedPosL;
-
-      switch (zzAction < 0 ? zzAction : ZZ_ACTION[zzAction]) {
-        case 180: 
-          { return(stem(3,"te","ed"));
-          }
-        case 372: break;
-        case 298: 
-          { return(stem(1,"a","s"));
-          }
-        case 373: break;
-        case 94: 
-          { return(stem(3,"ide","ed"));
-          }
-        case 374: break;
-        case 126: 
-          { return(stem(2,"al","s"));
-          }
-        case 375: break;
-        case 15: 
-          { return(null_stem());
-          }
-        case 376: break;
-        case 293: 
-          { return(stem(2,"la","s"));
-          }
-        case 377: break;
-        case 38: 
-          { return(stem(3,"will",""));
-          }
-        case 378: break;
-        case 8: 
-          { yybegin(scan); if (option(tag_output)) return yytext();
-          }
-        case 379: break;
-        case 11: 
-          { return cnull_stem();
-          }
-        case 380: break;
-        case 72: 
-          { return(stem(3,"eel","ed"));
-          }
-        case 381: break;
-        case 173: 
-          { return(stem(3,"eal","ed"));
-          }
-        case 382: break;
-        case 177: 
-          { return(stem(4,"ake","en"));
-          }
-        case 383: break;
-        case 134: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(2,"I",""));
-          }
-        case 384: break;
-        case 133: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(1,"y",""));
-          }
-        case 385: break;
-        case 259: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 4;
-          { return(stem(1,"y",""));
-          }
-        case 386: break;
-        case 89: 
-          { return(stem(3,"ay","ed"));
-          }
-        case 387: break;
-        case 272: 
-          { return(stem(3,"se","ed"));
-          }
-        case 388: break;
-        case 95: 
-          { return(stem(3,"ise","ed"));
-          }
-        case 389: break;
-        case 236: 
-          { return(stem(3,"ike","ed"));
-          }
-        case 390: break;
-        case 29: 
-          { return(ynull_stem());
-          }
-        case 391: break;
-        case 111: 
-          { return(stem(3,"ell","ed"));
-          }
-        case 392: break;
-        case 10: 
-          { return(stem(1,"us","s"));
-          }
-        case 393: break;
-        case 1: 
-          { return(common_noun_stem());
-          }
-        case 394: break;
-        case 13: 
-          // lookahead expression with fixed lookahead length
-          yypushback(1);
-          { return(common_noun_stem());
-          }
-        case 395: break;
-        case 70: 
-          { return(stem(3,"ly","ed"));
-          }
-        case 396: break;
-        case 67: 
-          { return(stem(3,"ive","ed"));
-          }
-        case 397: break;
-        case 355: 
-          { return(stem(3,"is","s"));
-          }
-        case 398: break;
-        case 239: 
-          { return(stem(5,"eek","ed"));
-          }
-        case 399: break;
-        case 160: 
-          { return(stem(3,"ar","ed"));
-          }
-        case 400: break;
-        case 267: 
-          { return(stem(4,"ame","ed"));
-          }
-        case 401: break;
-        case 33: 
-          { return(stem(3,"see","ed"));
-          }
-        case 402: break;
-        case 151: 
-          { return(stem(3,"epe","ed"));
-          }
-        case 403: break;
-        case 21: 
-          { return(stem(3,"get","ed"));
-          }
-        case 404: break;
-        case 351: 
-          { return(stem(8,"-de-sac","s"));
-          }
-        case 405: break;
-        case 369: 
-          { return(stem(12,"-in-the-box","s"));
-          }
-        case 406: break;
-        case 266: 
-          { return(stem(5,"ing","ed"));
-          }
-        case 407: break;
-        case 182: 
-          { return(stem(2,"i","s"));
-          }
-        case 408: break;
-        case 162: 
-          { return(stem(3,"an","ed"));
-          }
-        case 409: break;
-        case 30: 
-          { return(stem(3,"red","ed"));
-          }
-        case 410: break;
-        case 51: 
-          { return(stem(3,"e","ing"));
-          }
-        case 411: break;
-        case 214: 
-          { return(stem(3,"ass","ed"));
-          }
-        case 412: break;
-        case 249: 
-          { return(stem(2,"re","s"));
-          }
-        case 413: break;
-        case 65: 
-          { return(stem(2,"e","s"));
-          }
-        case 414: break;
-        case 78: 
-          { return(stem(3,"o","en"));
-          }
-        case 415: break;
-        case 155: 
-          { return(stem(5,"do","ed"));
-          }
-        case 416: break;
-        case 71: 
-          { return(stem(3,"all","ed"));
-          }
-        case 417: break;
-        case 125: 
-          { return(stem(2,"ra","s"));
-          }
-        case 418: break;
-        case 212: 
-          { return(stem(6,"clepe","ed"));
-          }
-        case 419: break;
-        case 256: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 4;
-          { return(stem(1,"",""));
-          }
-        case 420: break;
-        case 60: 
-          { return(stem(3,"ear","ed"));
-          }
-        case 421: break;
-        case 63: 
-          { return(stem(3,"ome","ed"));
-          }
-        case 422: break;
-        case 52: 
-          { return(stem(1,"","ed"));
-          }
-        case 423: break;
-        case 157: 
-          { return(stem(3,"eeze","ed"));
-          }
-        case 424: break;
-        case 27: 
-          { return(stem(3,"light","ed"));
-          }
-        case 425: break;
-        case 139: 
-          { return(stem(3,"y","s"));
-          }
-        case 426: break;
-        case 296: 
-          { return(stem(2,"zo","s"));
-          }
-        case 427: break;
-        case 31: 
-          { return(stem(3,"run","ed"));
-          }
-        case 428: break;
-        case 46: 
-          { return(stem(2,"an","s"));
-          }
-        case 429: break;
-        case 333: 
-          { return(stem(3,"ix","ed"));
-          }
-        case 430: break;
-        case 304: 
-          { return(stem(4,"g","ing"));
-          }
-        case 431: break;
-        case 57: 
-          { return(stem(3,"end","ed"));
-          }
-        case 432: break;
-        case 131: 
-          // general lookahead, find correct zzMarkedPos
-          { int zzFState = 5;
-            int zzFPos = zzStartRead;
-            if (zzFin.length <= zzBufferL.length) { zzFin = new boolean[zzBufferL.length+1]; }
-            boolean zzFinL[] = zzFin;
-            while (zzFState != -1 && zzFPos < zzMarkedPos) {
-              if ((zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-              zzInput = zzBufferL[zzFPos++];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            }
-            if (zzFState != -1 && (zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-
-            zzFState = 7;
-            zzFPos = zzMarkedPos;
-            while (!zzFinL[zzFPos] || (zzAttrL[zzFState] & 1) != 1) {
-              zzInput = zzBufferL[--zzFPos];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            };
-            zzMarkedPos = zzFPos;
-          }
-          { return(proper_name_stem());
-          }
-        case 433: break;
-        case 50: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 1;
-          { return(proper_name_stem());
-          }
-        case 434: break;
-        case 55: 
-          { return(stem(3,"low","ed"));
-          }
-        case 435: break;
-        case 193: 
-          { return(stem(2,"ny","s"));
-          }
-        case 436: break;
-        case 138: 
-          { return(stem(3,"y","ed"));
-          }
-        case 437: break;
-        case 104: 
-          { return(stem(3,"mite","ed"));
-          }
-        case 438: break;
-        case 305: 
-          { return(stem(3,"d","en"));
-          }
-        case 439: break;
-        case 14: 
-          { return(stem(2,"e","ed"));
-          }
-        case 440: break;
-        case 100: 
-          { return(stem(3,"hoot","ed"));
-          }
-        case 441: break;
-        case 185: 
-          { return(stem(2,"so","s"));
-          }
-        case 442: break;
-        case 341: 
-          { return(stem(2,"r","s"));
-          }
-        case 443: break;
-        case 231: 
-          { return(stem(5,"elt","en"));
-          }
-        case 444: break;
-        case 225: 
-          { return(stem(4,"eeze","en"));
-          }
-        case 445: break;
-        case 332: 
-          { return(stem(4,"y","ing"));
-          }
-        case 446: break;
-        case 130: 
-          // general lookahead, find correct zzMarkedPos
-          { int zzFState = 5;
-            int zzFPos = zzStartRead;
-            if (zzFin.length <= zzBufferL.length) { zzFin = new boolean[zzBufferL.length+1]; }
-            boolean zzFinL[] = zzFin;
-            while (zzFState != -1 && zzFPos < zzMarkedPos) {
-              if ((zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-              zzInput = zzBufferL[zzFPos++];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            }
-            if (zzFState != -1 && (zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-
-            zzFState = 6;
-            zzFPos = zzMarkedPos;
-            while (!zzFinL[zzFPos] || (zzAttrL[zzFState] & 1) != 1) {
-              zzInput = zzBufferL[--zzFPos];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            };
-            zzMarkedPos = zzFPos;
-          }
-          { yybegin(noun); yypushback(yylength()); return(next());
-          }
-        case 447: break;
-        case 81: 
-          { return(stem(3,"ew","en"));
-          }
-        case 448: break;
-        case 113: 
-          { return(stem(3,"aw","en"));
-          }
-        case 449: break;
-        case 49: 
-          // lookahead expression with fixed lookahead length
-          yypushback(2);
-          { yybegin(verb); yypushback(yylength()); return(next());
-          }
-        case 450: break;
-        case 314: 
-          { return(stem(3,"ship","ed"));
-          }
-        case 451: break;
-        case 335: 
-          { return(stem(1,"de","s"));
-          }
-        case 452: break;
-        case 364: 
-          { return(stem(9,"-mutuel","s"));
-          }
-        case 453: break;
-        case 370: 
-          { return(stem(14,"y-in-waiting","s"));
-          }
-        case 454: break;
-        case 9: 
-          { return(stem(2,"be",""));
-          }
-        case 455: break;
-        case 206: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(2,"be",""));
-          }
-        case 456: break;
-        case 69: 
-          { return(stem(3,"lee","ed"));
-          }
-        case 457: break;
-        case 40: 
-          { return(stem(1,"um","s"));
-          }
-        case 458: break;
-        case 56: 
-          { return(stem(3,"reed","ed"));
-          }
-        case 459: break;
-        case 163: 
-          { return(stem(3,"ap","ed"));
-          }
-        case 460: break;
-        case 343: 
-          { return(stem(2,"te","s"));
-          }
-        case 461: break;
-        case 197: 
-          { return(stem(3,"f","s"));
-          }
-        case 462: break;
-        case 200: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(2,"can",""));
-          }
-        case 463: break;
-        case 300: 
-          { return(stem(2,"lio","s"));
-          }
-        case 464: break;
-        case 108: 
-          { return(stem(3,"wim","en"));
-          }
-        case 465: break;
-        case 91: 
-          { return(stem(3,"ow","en"));
-          }
-        case 466: break;
-        case 321: 
-          { return(stem(2,"g","s"));
-          }
-        case 467: break;
-        case 228: 
-          { return(semi_reg_stem(1,""));
-          }
-        case 468: break;
-        case 275: 
-          { return(stem(2,"gue","s"));
-          }
-        case 469: break;
-        case 143: 
-          { return(stem(3,"ei","ed"));
-          }
-        case 470: break;
-        case 37: 
-          { return(stem(3,"eat","ed"));
-          }
-        case 471: break;
-        case 17: 
-          { return(stem(3,"bid","ed"));
-          }
-        case 472: break;
-        case 217: 
-          { return(stem(3,"","en"));
-          }
-        case 473: break;
-        case 354: 
-          { return(stem(10,"an-at-arms","s"));
-          }
-        case 474: break;
-        case 132: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(2,"we",""));
-          }
-        case 475: break;
-        case 244: 
-          { return(stem(2,"ron","s"));
-          }
-        case 476: break;
-        case 338: 
-          { return(stem(2,"non","s"));
-          }
-        case 477: break;
-        case 196: 
-          { return(stem(2,"uum","s"));
-          }
-        case 478: break;
-        case 24: 
-          { return(stem(3,"have","ed"));
-          }
-        case 479: break;
-        case 344: 
-          { return(stem(3,"ff","s"));
-          }
-        case 480: break;
-        case 251: 
-          { return(stem(2,"mum","s"));
-          }
-        case 481: break;
-        case 242: 
-          { return(stem(2,"ie","ed"));
-          }
-        case 482: break;
-        case 273: 
-          { return(stem(2,"ee","ed"));
-          }
-        case 483: break;
-        case 334: 
-          { return(stem(2,"do","s"));
-          }
-        case 484: break;
-        case 262: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(2,"do","s"));
-          }
-        case 485: break;
-        case 360: 
-          { return(stem(6,"-doux","s"));
-          }
-        case 486: break;
-        case 299: 
-          { return(stem(3,"ly","s"));
-          }
-        case 487: break;
-        case 224: 
-          { return(stem(4,"w","ed"));
-          }
-        case 488: break;
-        case 237: 
-          { return(stem(4,"eal","en"));
-          }
-        case 489: break;
-        case 253: 
-          { return(stem(6,"m.p.","s"));
-          }
-        case 490: break;
-        case 45: 
-          { return(stem(2,"","s"));
-          }
-        case 491: break;
-        case 346: 
-          { return(stem(9,"an-of-war","s"));
-          }
-        case 492: break;
-        case 90: 
-          { return(stem(3,"ie","en"));
-          }
-        case 493: break;
-        case 121: 
-          { return(stem(2,"tum","s"));
-          }
-        case 494: break;
-        case 199: 
-          { return(stem(5,"eyrir","s"));
-          }
-        case 495: break;
-        case 110: 
-          { return(stem(3,"ee","en"));
-          }
-        case 496: break;
-        case 204: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(2,"will",""));
-          }
-        case 497: break;
-        case 250: 
-          { return(stem(2,"ia","s"));
-          }
-        case 498: break;
-        case 255: 
-          { return(stem(3,"s","s"));
-          }
-        case 499: break;
-        case 44: 
-          { return(stem(2,"uo","s"));
-          }
-        case 500: break;
-        case 226: 
-          { return(stem(5,"ight","ed"));
-          }
-        case 501: break;
-        case 124: 
-          { return(stem(3,"ouse","s"));
-          }
-        case 502: break;
-        case 358: 
-          { return(stem(2,"t","s"));
-          }
-        case 503: break;
-        case 7: 
-          { return(stem(2,"be","s"));
-          }
-        case 504: break;
-        case 260: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(2,"be","s"));
-          }
-        case 505: break;
-        case 53: 
-          { return(semi_reg_stem(0,"e"));
-          }
-        case 506: break;
-        case 356: 
-          { return(stem(8,"-in-law","s"));
-          }
-        case 507: break;
-        case 181: 
-          { return(stem(4,".","s"));
-          }
-        case 508: break;
-        case 169: 
-          { return(stem(3,"ay","en"));
-          }
-        case 509: break;
-        case 165: 
-          { return(stem(3,"se","en"));
-          }
-        case 510: break;
-        case 39: 
-          { return(stem(3,"have",""));
-          }
-        case 511: break;
-        case 166: 
-          { return(stem(3,"ine","ed"));
-          }
-        case 512: break;
-        case 278: 
-          { return(stem(5,"ink","ed"));
-          }
-        case 513: break;
-        case 326: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 4;
-          { return(stem(4,"be","ed"));
-          }
-        case 514: break;
-        case 116: 
-          { return(stem(4,"be","ed"));
-          }
-        case 515: break;
-        case 359: 
-          { return(stem(9,"-down","ing"));
-          }
-        case 516: break;
-        case 297: 
-          { return(stem(3,"en","s"));
-          }
-        case 517: break;
-        case 148: 
-          { return(stem(4,"ear","en"));
-          }
-        case 518: break;
-        case 361: 
-          { return(stem(8,"-de-lys","s"));
-          }
-        case 519: break;
-        case 115: 
-          { return(stem(4,"go","ed"));
-          }
-        case 520: break;
-        case 309: 
-          { return(stem(4,"y","ed"));
-          }
-        case 521: break;
-        case 42: 
-          { return(stem(2,"a","s"));
-          }
-        case 522: break;
-        case 189: 
-          { return(stem(3,"x","s"));
-          }
-        case 523: break;
-        case 61: 
-          { return(stem(3,"id","ed"));
-          }
-        case 524: break;
-        case 83: 
-          { return(stem(4,"have","s"));
-          }
-        case 525: break;
-        case 59: 
-          { return(stem(3,"ear","en"));
-          }
-        case 526: break;
-        case 96: 
-          { return(stem(3,"eeve","ed"));
-          }
-        case 527: break;
-        case 76: 
-          { return(stem(3,"ild","ed"));
-          }
-        case 528: break;
-        case 353: 
-          { return(stem(10,"anservant","s"));
-          }
-        case 529: break;
-        case 202: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 3;
-          { return(stem(3,"he",""));
-          }
-        case 530: break;
-        case 254: 
-          { return(stem(4,"ex","s"));
-          }
-        case 531: break;
-        case 150: 
-          { return(stem(3,"oose","ed"));
-          }
-        case 532: break;
-        case 336: 
-          { return(stem(4,"-in","s"));
-          }
-        case 533: break;
-        case 285: 
-          { return(stem(6,"ork","ed"));
-          }
-        case 534: break;
-        case 144: 
-          { return(stem(3,"eak","ed"));
-          }
-        case 535: break;
-        case 112: 
-          { return(stem(3,"ink","ed"));
-          }
-        case 536: break;
-        case 241: 
-          { return(stem(3,"a","ed"));
-          }
-        case 537: break;
-        case 141: 
-          { return(stem(3,"rn","ed"));
-          }
-        case 538: break;
-        case 330: 
-          { return(stem(6,"-up","ed"));
-          }
-        case 539: break;
-        case 156: 
-          { return(stem(3,"y","en"));
-          }
-        case 540: break;
-        case 119: 
-          { return(stem(2,"um","s"));
-          }
-        case 541: break;
-        case 222: 
-          { return(stem(4,"tch","ed"));
-          }
-        case 542: break;
-        case 88: 
-          { return(stem(3,"ose","ed"));
-          }
-        case 543: break;
-        case 25: 
-          { return(stem(3,"have","s"));
-          }
-        case 544: break;
-        case 101: 
-          { return(stem(3,"hit","ed"));
-          }
-        case 545: break;
-        case 122: 
-          { return(stem(3,"oot","s"));
-          }
-        case 546: break;
-        case 68: 
-          { return(stem(4,"do","s"));
-          }
-        case 547: break;
-        case 97: 
-          { return(stem(3,"ing","ed"));
-          }
-        case 548: break;
-        case 246: 
-          { return(stem(3,"denum","s"));
-          }
-        case 549: break;
-        case 352: 
-          { return(stem(6,"-over","s"));
-          }
-        case 550: break;
-        case 191: 
-          { return(stem(1,"s","s"));
-          }
-        case 551: break;
-        case 34: 
-          { return(stem(3,"win","ed"));
-          }
-        case 552: break;
-        case 82: 
-          { return(stem(3,"eave","ed"));
-          }
-        case 553: break;
-        case 342: 
-          { return(stem(7,"-up","ing"));
-          }
-        case 554: break;
-        case 74: 
-          { return(stem(3,"eld","ed"));
-          }
-        case 555: break;
-        case 289: 
-          { return(stem(4,"yatid","s"));
-          }
-        case 556: break;
-        case 291: 
-          { return(stem(1,"o","s"));
-          }
-        case 557: break;
-        case 127: 
-          { return(stem(2,"lo","s"));
-          }
-        case 558: break;
-        case 103: 
-          { return(stem(3,"lide","ed"));
-          }
-        case 559: break;
-        case 41: 
-          { return(stem(2,".","s"));
-          }
-        case 560: break;
-        case 175: 
-          { return(stem(3,"and","ed"));
-          }
-        case 561: break;
-        case 223: 
-          { return(stem(3,"am","ed"));
-          }
-        case 562: break;
-        case 3: 
-          { return common_noun_stem().concat(next());
-          }
-        case 563: break;
-        case 114: 
-          { return(stem(3,"read","ed"));
-          }
-        case 564: break;
-        case 263: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(2,"have","s"));
-          }
-        case 565: break;
-        case 349: 
-          { return(stem(8,"-down","ed"));
-          }
-        case 566: break;
-        case 209: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(2,"have","ed"));
-          }
-        case 567: break;
-        case 137: 
-          { return(stem(3,"","ing"));
-          }
-        case 568: break;
-        case 146: 
-          { return(stem(5,"be","ing"));
-          }
-        case 569: break;
-        case 219: 
-          { return(stem(4,"te","ing"));
-          }
-        case 570: break;
-        case 322: 
-          { return(stem(4,"isee","s"));
-          }
-        case 571: break;
-        case 118: 
-          { return(stem(1,"on","s"));
-          }
-        case 572: break;
-        case 117: 
-          { return(stem(2,"","ed"));
-          }
-        case 573: break;
-        case 307: 
-          { return(stem(4,"y","s"));
-          }
-        case 574: break;
-        case 345: 
-          { return(stem(4,"-on","s"));
-          }
-        case 575: break;
-        case 337: 
-          { return(stem(8,"onsieur","s"));
-          }
-        case 576: break;
-        case 178: 
-          { return(stem(4,"eave","en"));
-          }
-        case 577: break;
-        case 248: 
-          { return(stem(3,"us","s"));
-          }
-        case 578: break;
-        case 365: 
-          { return(stem(9,"-de-camp","s"));
-          }
-        case 579: break;
-        case 201: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 3;
-          { return(stem(3,"she",""));
-          }
-        case 580: break;
-        case 64: 
-          { return(stem(3,"raw","ed"));
-          }
-        case 581: break;
-        case 317: 
-          { return(stem(2,"cio","s"));
-          }
-        case 582: break;
-        case 371: 
-          { return(stem(11,"y-general","s"));
-          }
-        case 583: break;
-        case 320: 
-          { return(stem(2,"eum","s"));
-          }
-        case 584: break;
-        case 368: 
-          { return(stem(9,"-at-arms","s"));
-          }
-        case 585: break;
-        case 315: 
-          { return(stem(2,"ion","s"));
-          }
-        case 586: break;
-        case 367: 
-          { return(stem(11,"erfamilias","s"));
-          }
-        case 587: break;
-        case 328: 
-          { return(stem(6,"-down","s"));
-          }
-        case 588: break;
-        case 288: 
-          { return(stem(1,"x","s"));
-          }
-        case 589: break;
-        case 323: 
-          { return(stem(2,"oan","s"));
-          }
-        case 590: break;
-        case 306: 
-          { return(stem(5,"eech","ed"));
-          }
-        case 591: break;
-        case 73: 
-          { return(stem(3,"row","ed"));
-          }
-        case 592: break;
-        case 4: 
-          { return yytext();
-          }
-        case 593: break;
-        case 292: 
-          { return(stem(2,"ro","s"));
-          }
-        case 594: break;
-        case 252: 
-          { return(stem(3,"ey","s"));
-          }
-        case 595: break;
-        case 324: 
-          { return(stem(2,"ton","s"));
-          }
-        case 596: break;
-        case 5: 
-          { return(stem(1,"","s"));
-          }
-        case 597: break;
-        case 303: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 3;
-          { return(stem(3,"be",""));
-          }
-        case 598: break;
-        case 36: 
-          { return(stem(3,"be",""));
-          }
-        case 599: break;
-        case 229: 
-          { return(stem(5,"et","en"));
-          }
-        case 600: break;
-        case 99: 
-          { return(stem(3,"hoe","ed"));
-          }
-        case 601: break;
-        case 164: 
-          { return(stem(3,"de","en"));
-          }
-        case 602: break;
-        case 43: 
-          { return(xnull_stem());
-          }
-        case 603: break;
-        case 362: 
-          { return(stem(8,"-de-lis","s"));
-          }
-        case 604: break;
-        case 207: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(2,"have",""));
-          }
-        case 605: break;
-        case 271: 
-          { return(stem(5,"ivy","s"));
-          }
-        case 606: break;
-        case 238: 
-          { return(stem(3,"ge","ed"));
-          }
-        case 607: break;
-        case 233: 
-          { return(stem(3,"ce","ed"));
-          }
-        case 608: break;
-        case 176: 
-          { return(stem(3,"ke","en"));
-          }
-        case 609: break;
-        case 105: 
-          { return(stem(3,"pin","ed"));
-          }
-        case 610: break;
-        case 287: 
-          { return(stem(2,"no","s"));
-          }
-        case 611: break;
-        case 312: 
-          { return(semi_reg_stem(0,"ue"));
-          }
-        case 612: break;
-        case 235: 
-          { return(stem(3,"il","ed"));
-          }
-        case 613: break;
-        case 350: 
-          { return(stem(2,"l","s"));
-          }
-        case 614: break;
-        case 167: 
-          { return(semi_reg_stem(0,""));
-          }
-        case 615: break;
-        case 159: 
-          { return(stem(3,"ve","en"));
-          }
-        case 616: break;
-        case 203: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 3;
-          { return(stem(2,"e",""));
-          }
-        case 617: break;
-        case 234: 
-          { return(stem(5,"ink","en"));
-          }
-        case 618: break;
-        case 145: 
-          { return(stem(3,"gin","ed"));
-          }
-        case 619: break;
-        case 286: 
-          { return(stem(5,"y","ed"));
-          }
-        case 620: break;
-        case 205: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 3;
-          { return(stem(3,"we",""));
-          }
-        case 621: break;
-        case 171: 
-          { return(stem(3,"ill","ed"));
-          }
-        case 622: break;
-        case 232: 
-          { return(stem(3,"ue","ed"));
-          }
-        case 623: break;
-        case 245: 
-          { return(stem(1,"i","s"));
-          }
-        case 624: break;
-        case 183: 
-          { return(stem(2,"d","s"));
-          }
-        case 625: break;
-        case 19: 
-          { return(stem(3,"do","ed"));
-          }
-        case 626: break;
-        case 58: 
-          { return(stem(4,"be","en"));
-          }
-        case 627: break;
-        case 270: 
-          { return(stem(5,"ivy","ed"));
-          }
-        case 628: break;
-        case 168: 
-          { return(stem(3,"i","ed"));
-          }
-        case 629: break;
-        case 187: 
-          { return(stem(1,"e","s"));
-          }
-        case 630: break;
-        case 340: 
-          { return(stem(2,"le","s"));
-          }
-        case 631: break;
-        case 280: 
-          { return(stem(5,"ead","en"));
-          }
-        case 632: break;
-        case 301: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 5;
-          { return(stem(2,"y",""));
-          }
-        case 633: break;
-        case 149: 
-          { return(stem(3,"rse","ed"));
-          }
-        case 634: break;
-        case 66: 
-          { return(stem(4,"do","en"));
-          }
-        case 635: break;
-        case 170: 
-          { return(stem(3,"ite","ed"));
-          }
-        case 636: break;
-        case 227: 
-          { return(stem(3,"l","en"));
-          }
-        case 637: break;
-        case 128: 
-          { return(stem(4,"ABC","s"));
-          }
-        case 638: break;
-        case 106: 
-          { return(stem(3,"peed","ed"));
-          }
-        case 639: break;
-        case 215: 
-          { return(stem(4,"eak","en"));
-          }
-        case 640: break;
-        case 28: 
-          { return(stem(3,"meet","ed"));
-          }
-        case 641: break;
-        case 347: 
-          { return(stem(4,"-by","s"));
-          }
-        case 642: break;
-        case 135: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(1, "", "n"));
-          }
-        case 643: break;
-        case 325: 
-          { return(stem(4,"s","s"));
-          }
-        case 644: break;
-        case 318: 
-          { return(stem(3,"esis","s"));
-          }
-        case 645: break;
-        case 230: 
-          { return(stem(3,"ey","ed"));
-          }
-        case 646: break;
-        case 142: 
-          { return(stem(3,"ess","ed"));
-          }
-        case 647: break;
-        case 218: 
-          { return(stem(3,"e","en"));
-          }
-        case 648: break;
-        case 348: 
-          { return(stem(4,"o","s"));
-          }
-        case 649: break;
-        case 152: 
-          { return(stem(4,"are","ed"));
-          }
-        case 650: break;
-        case 147: 
-          { return(stem(4,"ind","ed"));
-          }
-        case 651: break;
-        case 172: 
-          { return(stem(3,"ick","ed"));
-          }
-        case 652: break;
-        case 153: 
-          { return(stem(4,"ie","ing"));
-          }
-        case 653: break;
-        case 107: 
-          { return(stem(3,"pit","ed"));
-          }
-        case 654: break;
-        case 184: 
-          { return(stem(2,"u","s"));
-          }
-        case 655: break;
-        case 129: 
-          { return(stem(2,"to","s"));
-          }
-        case 656: break;
-        case 268: 
-          { return(stem(3,"ride","ed"));
-          }
-        case 657: break;
-        case 186: 
-          { return(stem(2,"denum","s"));
-          }
-        case 658: break;
-        case 290: 
-          { return(stem(4,"sbok","s"));
-          }
-        case 659: break;
-        case 308: 
-          { return(stem(6,"ivy","ing"));
-          }
-        case 660: break;
-        case 366: 
-          { return(stem(13,"ademoiselle","s"));
-          }
-        case 661: break;
-        case 195: 
-          { return(stem(4,"ooth","s"));
-          }
-        case 662: break;
-        case 20: 
-          { return(stem(3,"feed","ed"));
-          }
-        case 663: break;
-        case 98: 
-          { return(stem(3,"ink","en"));
-          }
-        case 664: break;
-        case 92: 
-          { return(stem(3,"ake","ed"));
-          }
-        case 665: break;
-        case 62: 
-          { return(stem(3,"lothe","ed"));
-          }
-        case 666: break;
-        case 18: 
-          { return(stem(3,"dig","ed"));
-          }
-        case 667: break;
-        case 279: 
-          { return(stem(4,"k","ed"));
-          }
-        case 668: break;
-        case 194: 
-          { return(stem(2,"po","s"));
-          }
-        case 669: break;
-        case 221: 
-          { return(stem(3,"ose","en"));
-          }
-        case 670: break;
-        case 174: 
-          { return(stem(3,"ave","ed"));
-          }
-        case 671: break;
-        case 77: 
-          { return(stem(3,"ird","ed"));
-          }
-        case 672: break;
-        case 161: 
-          { return(stem(3,"in","ed"));
-          }
-        case 673: break;
-        case 210: 
-          { return(stem(4,"","ing"));
-          }
-        case 674: break;
-        case 85: 
-          { return(stem(3,"en","ed"));
-          }
-        case 675: break;
-        case 87: 
-          { return(stem(3,"o","ed"));
-          }
-        case 676: break;
-        case 281: 
-          { return(stem(3,"mel","s"));
-          }
-        case 677: break;
-        case 274: 
-          { return(stem(4,"-up","s"));
-          }
-        case 678: break;
-        case 12: 
-          { return(stem(2,"is","s"));
-          }
-        case 679: break;
-        case 23: 
-          { return(stem(3,"hide","ed"));
-          }
-        case 680: break;
-        case 93: 
-          { return(stem(3,"ing","en"));
-          }
-        case 681: break;
-        case 257: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 3;
-          { return(stem(3,"not",""));
-          }
-        case 682: break;
-        case 283: 
-          { return(stem(4,"i","ing"));
-          }
-        case 683: break;
-        case 243: 
-          { return(stem(4,"e","ing"));
-          }
-        case 684: break;
-        case 284: 
-          { return(stem(4,"a","ing"));
-          }
-        case 685: break;
-        case 136: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(2,"'s",""));
-          }
-        case 686: break;
-        case 264: 
-          { return(condub_stem(3,"","ing"));
-          }
-        case 687: break;
-        case 120: 
-          { return(stem(3,"a","s"));
-          }
-        case 688: break;
-        case 327: 
-          { return(stem(4,"l","ing"));
-          }
-        case 689: break;
-        case 316: 
-          { return(stem(2,"ne","s"));
-          }
-        case 690: break;
-        case 247: 
-          { return(stem(3,"ur","s"));
-          }
-        case 691: break;
-        case 198: 
-          { return(stem(2,"b","s"));
-          }
-        case 692: break;
-        case 220: 
-          { return(stem(5,"uy","ed"));
-          }
-        case 693: break;
-        case 258: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 3;
-          { return(stem(3,"shall",""));
-          }
-        case 694: break;
-        case 190: 
-          { return(stem(3,"fe","s"));
-          }
-        case 695: break;
-        case 216: 
-          { return(stem(2,"","en"));
-          }
-        case 696: break;
-        case 311: 
-          { return(stem(5,"ify","s"));
-          }
-        case 697: break;
-        case 313: 
-          { return(stem(5,"k","ing"));
-          }
-        case 698: break;
-        case 6: 
-          { return(cnull_stem());
-          }
-        case 699: break;
-        case 80: 
-          { return(stem(3,"old","ed"));
-          }
-        case 700: break;
-        case 339: 
-          { return(stem(4,"ese","s"));
-          }
-        case 701: break;
-        case 2: 
-          { String str = yytext();
-                                  int first = str.charAt(0);
-	                          String msg = String.format("Untokenizable: %s (U+%s, decimal: %s) - this may be because your text isn't using _ as a tag delimiter", yytext(), Integer.toHexString(first).toUpperCase(), Integer.toString(first));
-                  LOGGER.warning(msg);
-          }
-        case 702: break;
-        case 294: 
-          { return(stem(2,"dum","s"));
-          }
-        case 703: break;
-        case 47: 
-          { return(stem(2,"s","s"));
-          }
-        case 704: break;
-        case 329: 
-          { return(stem(5,"y","ing"));
-          }
-        case 705: break;
-        case 357: 
-          { return(stem(6,"-lit","s"));
-          }
-        case 706: break;
-        case 158: 
-          { return(stem(3,"ip","ed"));
-          }
-        case 707: break;
-        case 79: 
-          { return(stem(3,"ang","ed"));
-          }
-        case 708: break;
-        case 331: 
-          { return(stem(6,"ify","ing"));
-          }
-        case 709: break;
-        case 295: 
-          { return(stem(4,"belly","s"));
-          }
-        case 710: break;
-        case 188: 
-          { return(stem(4,"oose","s"));
-          }
-        case 711: break;
-        case 282: 
-          { return(stem(4,"ge","ing"));
-          }
-        case 712: break;
-        case 109: 
-          { return(stem(3,"wim","ed"));
-          }
-        case 713: break;
-        case 179: 
-          { return(stem(3,"t","en"));
-          }
-        case 714: break;
-        case 276: 
-          { return(stem(4,"ue","ing"));
-          }
-        case 715: break;
-        case 48: 
-          { return(stem(2,"vum","s"));
-          }
-        case 716: break;
-        case 123: 
-          { return(stem(2,"rum","s"));
-          }
-        case 717: break;
-        case 192: 
-          { return(stem(2,"num","s"));
-          }
-        case 718: break;
-        case 102: 
-          { return(stem(3,"lay","ed"));
-          }
-        case 719: break;
-        case 277: 
-          { return(stem(5,"ell","en"));
-          }
-        case 720: break;
-        case 140: 
-          { return(stem(3,"","ed"));
-          }
-        case 721: break;
-        case 261: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(2,"as",""));
-          }
-        case 722: break;
-        case 16: 
-          { return(stem(3,"bite","ed"));
-          }
-        case 723: break;
-        case 154: 
-          { return(stem(3,"al","ed"));
-          }
-        case 724: break;
-        case 213: 
-          { return(stem(3,"","s"));
-          }
-        case 725: break;
-        case 302: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 3;
-          { return(stem(3,"be","ed"));
-          }
-        case 726: break;
-        case 35: 
-          { return(stem(3,"be","ed"));
-          }
-        case 727: break;
-        case 32: 
-          { return(stem(3,"sit","ed"));
-          }
-        case 728: break;
-        case 240: 
-          { return(stem(5,"each","ed"));
-          }
-        case 729: break;
-        case 363: 
-          { return(stem(9,"-a-terre","s"));
-          }
-        case 730: break;
-        case 84: 
-          { return(stem(3,"now","ed"));
-          }
-        case 731: break;
-        case 22: 
-          { return(stem(3,"gin","en"));
-          }
-        case 732: break;
-        case 269: 
-          { return(stem(3,"ie","ed"));
-          }
-        case 733: break;
-        case 75: 
-          { return(stem(3,"ee","ed"));
-          }
-        case 734: break;
-        case 86: 
-          { return(stem(3,"eep","ed"));
-          }
-        case 735: break;
-        case 208: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 2;
-          { return(stem(2,"would",""));
-          }
-        case 736: break;
-        case 54: 
-          { return(stem(3,"leed","ed"));
-          }
-        case 737: break;
-        case 26: 
-          { return(stem(3,"lead","ed"));
-          }
-        case 738: break;
-        case 265: 
-          { return(stem(7,"clepe","ed"));
-          }
-        case 739: break;
-        case 319: 
-          { return(stem(4,"eps","s"));
-          }
-        case 740: break;
-        case 310: 
-          { return(stem(5,"ify","ed"));
-          }
-        case 741: break;
-        case 211: 
-          { return(condub_stem(2,"","ed"));
-          }
-        case 742: break;
-        default: 
-          if (zzInput == YYEOF && zzStartRead == zzCurrentPos) {
-            zzAtEOF = true;
-              {
-                return null;
-              }
-          } 
-          else {
-            zzScanError(ZZ_NO_MATCH);
-          }
-      }
-    }
-  }
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/Morphology.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/Morphology.java
deleted file mode 100644
index 30b81a6..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/Morphology.java
+++ /dev/null
@@ -1,296 +0,0 @@
-package edu.stanford.nlp.process;
-
-
-import java.io.FileReader;
-import java.io.IOException;
-import java.io.Reader;
-import java.io.StringReader;
-import java.util.logging.Logger;
-
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.ling.CoreAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation;
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.Word;
-import edu.stanford.nlp.ling.WordLemmaTag;
-import edu.stanford.nlp.ling.WordTag;
-import edu.stanford.nlp.util.Function;
-
-
-/**
- * Morphology computes the base form of English words, by removing just
- * inflections (not derivational morphology).  That is, it only does noun
- * plurals, pronoun case, and verb endings, and not things like comparative adjectives
- * or derived nominals.  It is based on a finite-state
- * transducer implemented by John Carroll et al., written in flex and publicly
- * available.
- * See: http://www.informatics.susx.ac.uk/research/nlp/carroll/morph.html .
- * There are several ways of invoking Morphology. One is by calling the static
- * methods
- * WordTag stemStatic(String word, String tag) or
- * WordTag stemStatic(WordTag wordTag).
- * If we have created a Morphology object already we can use the methods
- * WordTag stem(String word, string tag) or WordTag stem(WordTag wordTag).
- * <br>
- * Another way of using Morphology is to run it on an input file by running
- * <code>java Morphology filename</code>.  In this case, POS tags MUST be
- * separated from words by an underscore ("_").
- * <br>
- * Note that a single instance of Morphology is not thread-safe, as
- * the underlying lexer object is not built to be re-entrant.  One thing that
- * you can do to get around this is build a new Morphology object for
- * each set of calls to the Morphology.  For example, the
- * MorphaAnnotator builds a Morphology for each document it annotates.
- * The other approach is to use the synchronized methods in this class.
- * <br>
- * @author Kristina Toutanova (kristina@cs.stanford.edu)
- * @author Christopher Manning
- */
-public class Morphology implements Function {
-
-  private static final Logger LOGGER = Logger.getLogger(Morphology.class.getName());
-
-  private static final boolean DEBUG = false;
-  private static Morpha staticLexer;
-
-  private final Morpha lexer;
-
-  public Morphology() {
-    lexer = new Morpha(System.in);
-  }
-
-  /**
-   * Process morphologically words from a Reader.
-   *
-   * @param in The Reader to read from
-   */
-  public Morphology(Reader in) {
-    lexer = new Morpha(in);
-  }
-
-
-  public Morphology(Reader in, int flags) {
-    lexer = new Morpha(in);
-    lexer.setOptions(flags);
-  }
-
-
-  public Word next() throws IOException {
-    String nx = lexer.next();
-    if (nx == null) {
-      return null;
-    } else {
-      return new Word(nx);
-    }
-  }
-
-  static boolean isProper(String posTag) {
-    return posTag.equals("NNP") || posTag.equals("NNPS") || posTag.equals("NP");
-  }
-
-  public Word stem(Word w) {
-    return new Word(stem(w.value()));
-  }
-
-  public String stem(String word) {
-    try {
-      lexer.yyreset(new StringReader(word));
-      lexer.yybegin(Morpha.any);
-      String wordRes = lexer.next();
-      return wordRes;
-    } catch (IOException e) {
-      LOGGER.warning("Morphology.stem() had error on word " + word);
-      return word;
-    }
-  }
-
-
-  public String lemma(String word, String tag) {
-    return lemmatize(word, tag, lexer, lexer.option(1));
-  }
-
-  public String lemma(String word, String tag, boolean lowercase) {
-    return lemmatize(word, tag, lexer, lowercase);
-  }
-
-
-  /**
-   * Adds the LemmaAnnotation to the given CoreLabel.
-   */
-  public void stem(CoreLabel label) {
-    stem(label, LemmaAnnotation.class);
-  }
-
-  /**
-   * Adds annotation <code>ann</code> to the given CoreLabel.
-   * Assumes that it has a TextAnnotation and PartOfSpeechAnnotation.
-   */
-  public void stem(CoreLabel label,
-                   Class<? extends CoreAnnotation<String>> ann) {
-    String lemma = lemmatize(label.word(), label.tag(), lexer, lexer.option(1));
-    label.set(ann, lemma);
-  }
-
-  /** Lemmatize the word, being sensitive to the tag, using the
-   *  passed in lexer.
-   *
-   *  @param lowercase If this is true, words other than proper nouns will
-   *      be changed to all lowercase.
-   */
-  private static String lemmatize(String word, String tag, Morpha lexer, boolean lowercase) {
-    boolean wordHasForbiddenChar = word.indexOf('_') >= 0 ||word.indexOf(' ') >= 0;
-    String quotedWord = word;
-    if (wordHasForbiddenChar) {
-      // choose something unlikely. Classical Vedic!
-      quotedWord = quotedWord.replaceAll("_", "\u1CF0");
-      quotedWord = quotedWord.replaceAll(" ", "\u1CF1");
-    }
-    String wordtag = quotedWord + '_' + tag;
-    if (DEBUG) System.err.println("Trying to normalize |" + wordtag + "|");
-    try {
-      lexer.setOption(1, lowercase);
-      lexer.yyreset(new StringReader(wordtag));
-      lexer.yybegin(Morpha.scan);
-      String wordRes = lexer.next();
-      lexer.next(); // go past tag
-      if (wordHasForbiddenChar) {
-        if (DEBUG) System.err.println("Restoring forbidden chars");
-        wordRes = wordRes.replaceAll("\u1CF0", "_");
-        wordRes = wordRes.replaceAll("\u1CF1", " ");
-      }
-      return wordRes;
-    } catch (IOException e) {
-      LOGGER.warning("Morphology.stem() had error on word " + word + "/" + tag);
-      return word;
-    }
-  }
-
-  private static synchronized void initStaticLexer() {
-    if (staticLexer == null) {
-      staticLexer = new Morpha(System.in);
-    }
-  }
-
-  /** Return a new WordTag which has the lemma as the value of word().
-   *  The default is to lowercase non-proper-nouns, unless options have
-   *  been set.
-   */
-  public static WordTag stemStatic(String word, String tag) {
-    initStaticLexer();
-    return new WordTag(lemmatize(word, tag, staticLexer, staticLexer.option(1)), tag);
-  }
-
-
-  public static String lemmaStatic(String word, String tag,
-                                   boolean lowercase) {
-    initStaticLexer();
-    return lemmatize(word, tag, staticLexer, lowercase);
-  }
-
-
-
-  public static synchronized WordTag stemStaticSynchronized(String word,
-                                                            String tag) {
-    return stemStatic(word, tag);
-  }
-
-
-  public static synchronized String lemmaStaticSynchronized(String word,
-                                                            String tag,
-                                                            boolean lowercase) {
-    return lemmaStatic(word, tag, lowercase);
-  }
-
-  /** Return a new WordTag which has the lemma as the value of word().
-   *  The default is to lowercase non-proper-nouns, unless options have
-   *  been set.
-   */
-  public static WordTag stemStatic(WordTag wT) {
-    return stemStatic(wT.word(), wT.tag());
-  }
-
-
-  public Object apply(Object in) {
-    if (in instanceof WordTag) {
-      WordTag wt = (WordTag) in;
-      String tag = wt.tag();
-      return new WordTag(lemmatize(wt.word(), tag, lexer, lexer.option(1)), tag);
-    }
-    if (in instanceof Word) {
-      return stem((Word) in);
-    }
-    return in;
-  }
-
-  /**
-   * Lemmatize returning a <code>WordLemmaTag </code>.
-   */
-  public WordLemmaTag lemmatize(WordTag wT) {
-    String tag = wT.tag();
-    String word = wT.word();
-    String lemma = lemma(word, tag);
-    return new WordLemmaTag(word, lemma, tag);
-  }
-
-  public static WordLemmaTag lemmatizeStatic(WordTag wT) {
-    String tag = wT.tag();
-    String word = wT.word();
-    String lemma = stemStatic(wT).word();
-    return new WordLemmaTag(word, lemma, tag);
-  }
-
-
-  /** Run the morphological analyzer.  Options are:
-   *  <ul>
-   *  <li>-rebuildVerbTable verbTableFile Convert a verb table from a text file
-   *  (e.g., /u/nlp/data/morph/verbstem.list) to Java code contained in Morpha.flex .
-   *  <li>-stem args ...  Stem each of the following arguments, which should either be
-   *  in the form of just word or word/tag.
-   *  <li> args ...  Each argument is a file and the contents of it are stemmed as
-   *  space-separated tokens.    <i>Note:</i> If the tokens are tagged
-   *  words, they must be in the format of whitespace separated word_tag pairs.
-   * </ul>
-   */
-  public static void main(String[] args) throws IOException {
-    if (args.length == 0) {
-      System.err.println("java Morphology [-rebuildVerbTable file|-stem word+|file+]");
-    } else if (args.length == 2 && args[0].equals("-rebuildVerbTable")) {
-      String verbs = IOUtils.slurpFile(args[1]);
-      String[] words = verbs.split("\\s+");
-      System.out.print(" private static final String[] verbStems = { ");
-      for (int i = 0; i < words.length; i++) {
-        System.out.print("\"" + words[i] + "\"");
-        if (i != words.length - 1) {
-          System.out.print(", ");
-          if (i % 5 == 0) {
-            System.out.println();
-            System.out.print("    ");
-          }
-        }
-      }
-      System.out.println(" };");
-    } else if (args[0].equals("-stem")) {
-      for (int i = 1; i < args.length; i++) {
-        System.out.println(args[i] + " --> " + stemStatic(WordTag.valueOf(args[i], "_")));
-      }
-    } else {
-      int flags = 0;
-      for (String arg :  args) {
-        if (arg.charAt(0) == '-') {
-          try {
-            flags = Integer.parseInt(arg.substring(1));
-          } catch (NumberFormatException nfe) {
-            System.err.println("Couldn't handle flag: " + arg + "\n");
-            // ignore flag
-          }
-        } else {
-          Morphology morph = new Morphology(new FileReader(arg), flags);
-          for (Word next; (next = morph.next()) != null; ) {
-            System.out.print(next);
-          }
-        }
-      }
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/PTB2TextLexer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/PTB2TextLexer.java
deleted file mode 100644
index 3d07572..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/PTB2TextLexer.java
+++ /dev/null
@@ -1,1322 +0,0 @@
-/* The following code was generated by JFlex 1.4.3 on 3/20/11 12:30 AM */
-
-package edu.stanford.nlp.process;
-
-/** Undoes the more common cases of Penn Treebank quoting to producing
- *  something resembling normal text.  That is, it is an approximate inverse
- *  of PTBTokenizer.
- *
- *  Jan 2008: This was both made better, and some quirky weird stuff was added
- *  so as to better handle the NIST MT08 translation system's output.
- *
- *  @author Joseph Smarr
- *  @author Christopher Manning
- */
-
-
-
-class PTB2TextLexer {
-
-  /** This character denotes the end of file */
-  public static final int YYEOF = -1;
-
-  /** initial size of the lookahead buffer */
-  private static final int ZZ_BUFFERSIZE = 16384;
-
-  /** lexical states */
-  public static final int INQUOTE = 2;
-  public static final int YYINITIAL = 0;
-
-  /**
-   * ZZ_LEXSTATE[l] is the state in the DFA for the lexical state l
-   * ZZ_LEXSTATE[l+1] is the state in the DFA for the lexical state l
-   *                  at the beginning of a line
-   * l is of the form l = 2*k, k a non negative integer
-   */
-  private static final int ZZ_LEXSTATE[] = { 
-     0,  0,  1, 1
-  };
-
-  /** 
-   * Translates characters to character classes
-   */
-  private static final String ZZ_CMAP_PACKED = 
-    "\12\0\1\71\2\70\1\72\22\0\1\1\1\75\1\2\1\0\1\106"+
-    "\1\105\1\3\1\30\1\101\1\102\2\0\1\75\1\35\1\74\1\100"+
-    "\1\67\1\34\10\66\1\75\1\7\3\0\1\76\1\0\1\4\1\63"+
-    "\1\57\1\61\1\51\1\43\1\15\1\47\1\37\2\33\1\14\1\5"+
-    "\1\41\1\12\1\6\1\10\1\45\1\31\1\13\1\11\1\65\1\55"+
-    "\1\33\1\53\1\33\1\0\1\77\3\0\1\73\1\17\1\62\1\56"+
-    "\1\60\1\50\1\42\1\27\1\46\1\36\2\16\1\26\1\20\1\40"+
-    "\1\24\1\21\1\22\1\44\1\32\1\25\1\23\1\64\1\54\1\16"+
-    "\1\52\1\16\1\103\1\0\1\104\7\0\1\70\44\0\1\33\12\0"+
-    "\1\33\4\0\1\33\5\0\27\33\1\0\37\33\1\0\u013f\33\31\0"+
-    "\162\33\4\0\14\33\16\0\5\33\11\0\1\33\213\0\1\33\13\0"+
-    "\1\33\1\0\3\33\1\0\1\33\1\0\24\33\1\0\54\33\1\0"+
-    "\46\33\1\0\5\33\4\0\202\33\10\0\105\33\1\0\46\33\2\0"+
-    "\2\33\6\0\20\33\41\0\46\33\2\0\1\33\7\0\47\33\110\0"+
-    "\33\33\5\0\3\33\56\0\32\33\5\0\13\33\25\0\12\34\4\0"+
-    "\2\33\1\0\143\33\1\0\1\33\17\0\2\33\7\0\2\33\12\34"+
-    "\3\33\2\0\1\33\20\0\1\33\1\0\36\33\35\0\3\33\60\0"+
-    "\46\33\13\0\1\33\u0152\0\66\33\3\0\1\33\22\0\1\33\7\0"+
-    "\12\33\4\0\12\34\25\0\10\33\2\0\2\33\2\0\26\33\1\0"+
-    "\7\33\1\0\1\33\3\0\4\33\3\0\1\33\36\0\2\33\1\0"+
-    "\3\33\4\0\12\34\2\33\23\0\6\33\4\0\2\33\2\0\26\33"+
-    "\1\0\7\33\1\0\2\33\1\0\2\33\1\0\2\33\37\0\4\33"+
-    "\1\0\1\33\7\0\12\34\2\0\3\33\20\0\11\33\1\0\3\33"+
-    "\1\0\26\33\1\0\7\33\1\0\2\33\1\0\5\33\3\0\1\33"+
-    "\22\0\1\33\17\0\2\33\4\0\12\34\25\0\10\33\2\0\2\33"+
-    "\2\0\26\33\1\0\7\33\1\0\2\33\1\0\5\33\3\0\1\33"+
-    "\36\0\2\33\1\0\3\33\4\0\12\34\1\0\1\33\21\0\1\33"+
-    "\1\0\6\33\3\0\3\33\1\0\4\33\3\0\2\33\1\0\1\33"+
-    "\1\0\2\33\3\0\2\33\3\0\3\33\3\0\10\33\1\0\3\33"+
-    "\55\0\11\34\25\0\10\33\1\0\3\33\1\0\27\33\1\0\12\33"+
-    "\1\0\5\33\46\0\2\33\4\0\12\34\25\0\10\33\1\0\3\33"+
-    "\1\0\27\33\1\0\12\33\1\0\5\33\3\0\1\33\40\0\1\33"+
-    "\1\0\2\33\4\0\12\34\25\0\10\33\1\0\3\33\1\0\27\33"+
-    "\1\0\20\33\46\0\2\33\4\0\12\34\25\0\22\33\3\0\30\33"+
-    "\1\0\11\33\1\0\1\33\2\0\7\33\72\0\60\33\1\0\2\33"+
-    "\14\0\7\33\11\0\12\34\47\0\2\33\1\0\1\33\2\0\2\33"+
-    "\1\0\1\33\2\0\1\33\6\0\4\33\1\0\7\33\1\0\3\33"+
-    "\1\0\1\33\1\0\1\33\2\0\2\33\1\0\4\33\1\0\2\33"+
-    "\11\0\1\33\2\0\5\33\1\0\1\33\11\0\12\34\2\0\2\33"+
-    "\42\0\1\33\37\0\12\34\26\0\10\33\1\0\42\33\35\0\4\33"+
-    "\164\0\42\33\1\0\5\33\1\0\2\33\25\0\12\34\6\0\6\33"+
-    "\112\0\46\33\12\0\51\33\7\0\132\33\5\0\104\33\5\0\122\33"+
-    "\6\0\7\33\1\0\77\33\1\0\1\33\1\0\4\33\2\0\7\33"+
-    "\1\0\1\33\1\0\4\33\2\0\47\33\1\0\1\33\1\0\4\33"+
-    "\2\0\37\33\1\0\1\33\1\0\4\33\2\0\7\33\1\0\1\33"+
-    "\1\0\4\33\2\0\7\33\1\0\7\33\1\0\27\33\1\0\37\33"+
-    "\1\0\1\33\1\0\4\33\2\0\7\33\1\0\47\33\1\0\23\33"+
-    "\16\0\11\34\56\0\125\33\14\0\u026c\33\2\0\10\33\12\0\32\33"+
-    "\5\0\113\33\25\0\15\33\1\0\4\33\16\0\22\33\16\0\22\33"+
-    "\16\0\15\33\1\0\3\33\17\0\64\33\43\0\1\33\4\0\1\33"+
-    "\3\0\12\34\46\0\12\34\6\0\130\33\10\0\51\33\127\0\35\33"+
-    "\51\0\12\34\36\33\2\0\5\33\u038b\0\154\33\224\0\234\33\4\0"+
-    "\132\33\6\0\26\33\2\0\6\33\2\0\46\33\2\0\6\33\2\0"+
-    "\10\33\1\0\1\33\1\0\1\33\1\0\1\33\1\0\37\33\2\0"+
-    "\65\33\1\0\7\33\1\0\1\33\3\0\3\33\1\0\7\33\3\0"+
-    "\4\33\2\0\6\33\4\0\15\33\5\0\3\33\1\0\7\33\53\0"+
-    "\2\70\107\0\1\33\15\0\1\33\202\0\1\33\4\0\1\33\2\0"+
-    "\12\33\1\0\1\33\3\0\5\33\6\0\1\33\1\0\1\33\1\0"+
-    "\1\33\1\0\4\33\1\0\3\33\1\0\7\33\3\0\3\33\5\0"+
-    "\5\33\u0ebb\0\2\33\52\0\5\33\5\0\2\33\4\0\126\33\6\0"+
-    "\3\33\1\0\132\33\1\0\4\33\5\0\50\33\4\0\136\33\21\0"+
-    "\30\33\70\0\20\33\u0200\0\u19b6\33\112\0\u51a6\33\132\0\u048d\33\u0773\0"+
-    "\u2ba4\33\u215c\0\u012e\33\2\0\73\33\225\0\7\33\14\0\5\33\5\0"+
-    "\1\33\1\0\12\33\1\0\15\33\1\0\5\33\1\0\1\33\1\0"+
-    "\2\33\1\0\2\33\1\0\154\33\41\0\u016b\33\22\0\100\33\2\0"+
-    "\66\33\50\0\14\33\164\0\5\33\1\0\207\33\23\0\12\34\7\0"+
-    "\32\33\6\0\32\33\13\0\131\33\3\0\6\33\2\0\6\33\2\0"+
-    "\6\33\2\0\3\33\43\0";
-
-  /** 
-   * Translates characters to character classes
-   */
-  private static final char [] ZZ_CMAP = zzUnpackCMap(ZZ_CMAP_PACKED);
-
-  /** 
-   * Translates DFA states to action switch labels.
-   */
-  private static final int [] ZZ_ACTION = zzUnpackAction();
-
-  private static final String ZZ_ACTION_PACKED_0 =
-    "\2\0\2\1\1\2\1\3\11\1\1\4\1\1\2\5"+
-    "\4\1\1\6\1\3\2\0\1\7\3\0\2\7\1\10"+
-    "\1\11\1\12\7\0\10\1\1\13\1\1\1\14\1\15"+
-    "\1\16\1\17\1\6\4\0\2\20\3\0\1\21\6\0"+
-    "\1\22\7\0\13\1\1\23\6\0\1\24\4\0\1\25"+
-    "\5\0\1\3\2\0\1\26\1\0\1\27\7\0\2\1"+
-    "\1\0\2\1\1\0\5\1\5\0\1\3\5\0\1\30"+
-    "\3\0\2\3\1\2\4\0\15\31\1\0\1\1\1\0"+
-    "\4\1\4\0\2\3\1\6\10\0\1\2\1\0\1\32"+
-    "\2\33\1\0\1\32\5\31\1\0\20\31\1\0\1\1"+
-    "\1\0\3\1\3\0\1\6\3\0\1\6\5\0\1\34"+
-    "\2\0\12\31\1\0\1\1\1\31\1\0\2\1\1\35"+
-    "\1\0\1\6\3\0\5\31\1\36\2\1\4\31\1\1"+
-    "\1\0\1\31\1\1\1\0\1\31\1\1\1\0\1\31"+
-    "\1\1\1\31\22\1";
-
-  private static int [] zzUnpackAction() {
-    int [] result = new int[306];
-    int offset = 0;
-    offset = zzUnpackAction(ZZ_ACTION_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackAction(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-
-  /** 
-   * Translates a state to a row index in the transition table
-   */
-  private static final int [] ZZ_ROWMAP = zzUnpackRowMap();
-
-  private static final String ZZ_ROWMAP_PACKED_0 =
-    "\0\0\0\107\0\216\0\325\0\u011c\0\u0163\0\u01aa\0\u01f1"+
-    "\0\u0238\0\u027f\0\u02c6\0\u030d\0\u0354\0\u039b\0\u03e2\0\u0429"+
-    "\0\u0470\0\u04b7\0\u0429\0\u04fe\0\u0545\0\u058c\0\u05d3\0\u0429"+
-    "\0\u061a\0\u0661\0\u06a8\0\u0429\0\u06ef\0\u0736\0\u077d\0\u07c4"+
-    "\0\u080b\0\u0429\0\u0429\0\u0429\0\u0852\0\u0899\0\u08e0\0\u0927"+
-    "\0\u096e\0\u09b5\0\u09fc\0\u0a43\0\u0a8a\0\u0ad1\0\u0b18\0\u0b5f"+
-    "\0\u0ba6\0\u0bed\0\u0c34\0\u0429\0\u0c7b\0\u0429\0\u0429\0\u0429"+
-    "\0\u0429\0\u0661\0\u0cc2\0\u0d09\0\u0d50\0\u0d97\0\u0429\0\u0dde"+
-    "\0\u0e25\0\u0e6c\0\u0eb3\0\u0429\0\u0efa\0\u0f41\0\u0f88\0\u04b7"+
-    "\0\u0fcf\0\u1016\0\u0429\0\u105d\0\u10a4\0\u10eb\0\u1132\0\u1179"+
-    "\0\u11c0\0\u1207\0\u124e\0\u1295\0\u12dc\0\u1323\0\u136a\0\u13b1"+
-    "\0\u13f8\0\u143f\0\u1486\0\u14cd\0\u1514\0\u0429\0\u155b\0\u15a2"+
-    "\0\u15e9\0\u1630\0\u1677\0\u16be\0\u0429\0\u1705\0\u174c\0\u1793"+
-    "\0\u17da\0\u0429\0\u1821\0\u1868\0\u18af\0\u18f6\0\u193d\0\u1984"+
-    "\0\u19cb\0\u1a12\0\u0429\0\u1a59\0\u0429\0\u1aa0\0\u1ae7\0\u1b2e"+
-    "\0\u1b75\0\u1bbc\0\u1c03\0\u1c4a\0\u1c91\0\u1cd8\0\u1d1f\0\u1d66"+
-    "\0\u1dad\0\u1df4\0\u1e3b\0\u1e82\0\u1ec9\0\u1f10\0\u1f57\0\u1f9e"+
-    "\0\u1fe5\0\u202c\0\u2073\0\u20ba\0\u2101\0\u2148\0\u218f\0\u21d6"+
-    "\0\u221d\0\u2264\0\u0429\0\u22ab\0\u22f2\0\u2339\0\u2380\0\u23c7"+
-    "\0\u240e\0\u2455\0\u249c\0\u24e3\0\u252a\0\u2571\0\u25b8\0\u25ff"+
-    "\0\u2646\0\u268d\0\u26d4\0\u271b\0\u2762\0\u27a9\0\u27f0\0\u2837"+
-    "\0\u287e\0\u28c5\0\u290c\0\u2953\0\u299a\0\u29e1\0\u2a28\0\u2a6f"+
-    "\0\u2ab6\0\u2afd\0\u2b44\0\u2b8b\0\u2bd2\0\u2c19\0\u2c60\0\u2ca7"+
-    "\0\u2cee\0\u2d35\0\u2d7c\0\u2dc3\0\u2e0a\0\u2e51\0\u23c7\0\u2e98"+
-    "\0\u2edf\0\u2f26\0\u0429\0\u0429\0\u2f6d\0\u2fb4\0\u2ffb\0\u3042"+
-    "\0\u3089\0\u30d0\0\u3117\0\u315e\0\u2ffb\0\u31a5\0\u31ec\0\u3233"+
-    "\0\u327a\0\u32c1\0\u3308\0\u334f\0\u3396\0\u33dd\0\u3424\0\u346b"+
-    "\0\u34b2\0\u34f9\0\u3540\0\u3587\0\u35ce\0\u3615\0\u365c\0\u36a3"+
-    "\0\u36ea\0\u3731\0\u3778\0\u37bf\0\u3806\0\u384d\0\u3894\0\u38db"+
-    "\0\u2c60\0\u3922\0\u3969\0\u39b0\0\u39f7\0\u3a3e\0\u3a85\0\u3acc"+
-    "\0\u0429\0\u3b13\0\u3b5a\0\u3ba1\0\u3be8\0\u3c2f\0\u3c76\0\u3cbd"+
-    "\0\u3d04\0\u3d4b\0\u3d92\0\u3dd9\0\u3e20\0\u3e67\0\u3eae\0\u3ef5"+
-    "\0\u3f3c\0\u3f83\0\u3fca\0\u0429\0\u4011\0\u4058\0\u409f\0\u40e6"+
-    "\0\u412d\0\u4174\0\u41bb\0\u4202\0\u4249\0\u4290\0\u0429\0\u42d7"+
-    "\0\u431e\0\u4365\0\u43ac\0\u43f3\0\u443a\0\u4481\0\u44c8\0\u450f"+
-    "\0\u4556\0\u459d\0\u45e4\0\u462b\0\u4672\0\u46b9\0\u4700\0\u4672"+
-    "\0\u4747\0\u478e\0\u47d5\0\u481c\0\u4863\0\u48aa\0\u48f1\0\u4938"+
-    "\0\u497f\0\u49c6\0\u4a0d\0\u4a54\0\u4a9b\0\u4ae2\0\u4b29\0\u4b70"+
-    "\0\u4bb7\0\u4bfe";
-
-  private static int [] zzUnpackRowMap() {
-    int [] result = new int[306];
-    int offset = 0;
-    offset = zzUnpackRowMap(ZZ_ROWMAP_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackRowMap(String packed, int offset, int [] result) {
-    int i = 0;  /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int high = packed.charAt(i++) << 16;
-      result[j++] = high | packed.charAt(i++);
-    }
-    return j;
-  }
-
-  /** 
-   * The transition table of the DFA
-   */
-  private static final int [] ZZ_TRANS = zzUnpackTrans();
-
-  private static final String ZZ_TRANS_PACKED_0 =
-    "\1\3\1\4\1\5\1\6\3\7\1\3\6\7\12\10"+
-    "\1\3\1\11\1\12\2\7\1\13\1\10\1\7\1\10"+
-    "\1\7\1\10\1\7\1\10\1\7\1\14\1\15\1\10"+
-    "\1\7\1\10\1\7\1\10\1\7\1\16\1\17\1\10"+
-    "\1\7\1\10\1\7\1\10\3\7\1\3\1\20\1\3"+
-    "\1\21\3\3\1\22\1\23\1\24\1\3\1\25\2\3"+
-    "\1\26\1\3\1\27\1\30\1\31\3\7\1\3\6\7"+
-    "\12\10\1\3\1\11\1\12\2\7\1\13\1\10\1\7"+
-    "\1\10\1\7\1\10\1\7\1\10\1\7\1\14\1\15"+
-    "\1\10\1\7\1\10\1\7\1\10\1\7\1\16\1\17"+
-    "\1\10\1\7\1\10\1\7\1\10\3\7\1\3\1\20"+
-    "\1\3\1\21\3\3\1\22\1\23\1\24\1\3\1\25"+
-    "\2\3\1\26\1\3\3\0\65\3\1\0\5\3\2\0"+
-    "\6\3\2\0\1\32\1\33\3\0\1\34\20\0\1\35"+
-    "\4\0\1\36\2\0\2\37\32\0\1\40\1\34\1\41"+
-    "\3\0\1\42\1\0\1\43\1\44\2\0\1\45\106\0"+
-    "\1\46\2\0\1\47\3\0\1\50\3\0\1\51\1\52"+
-    "\1\0\1\47\2\0\1\50\3\0\1\51\1\52\57\0"+
-    "\1\3\1\53\2\0\3\7\1\3\20\7\1\3\4\7"+
-    "\1\3\32\7\1\3\1\0\5\3\2\0\7\3\1\53"+
-    "\2\0\3\7\1\3\6\7\12\54\1\3\1\7\1\54"+
-    "\2\7\1\3\1\54\1\7\1\54\1\7\1\54\1\7"+
-    "\1\54\1\7\1\54\1\7\1\54\1\7\1\54\1\7"+
-    "\1\54\1\7\1\54\1\7\1\54\1\7\1\54\1\7"+
-    "\1\54\3\7\1\3\1\0\5\3\2\0\7\3\1\53"+
-    "\2\0\1\55\2\7\1\3\7\7\1\55\10\7\1\3"+
-    "\4\7\1\3\32\7\1\3\1\0\5\3\2\0\7\3"+
-    "\1\53\2\0\1\55\2\7\1\3\6\7\1\54\1\56"+
-    "\10\54\1\3\1\7\1\54\2\7\1\3\1\54\1\7"+
-    "\1\54\1\7\1\54\1\7\1\54\1\7\1\54\1\7"+
-    "\1\54\1\7\1\54\1\7\1\54\1\7\1\54\1\7"+
-    "\1\54\1\7\1\54\1\7\1\54\3\7\1\3\1\0"+
-    "\5\3\2\0\7\3\3\0\10\3\1\57\11\3\1\57"+
-    "\42\3\1\0\5\3\2\0\7\3\1\53\2\0\3\7"+
-    "\1\3\6\7\12\54\1\3\1\7\1\54\2\7\1\3"+
-    "\1\54\1\7\1\54\1\7\1\54\1\7\1\54\1\7"+
-    "\1\54\1\7\1\60\1\61\1\54\1\7\1\54\1\7"+
-    "\1\54\1\7\1\54\1\7\1\54\1\7\1\54\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\53\2\0\3\7"+
-    "\1\3\20\7\1\3\4\7\1\3\12\7\2\61\16\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\53\2\0\1\62"+
-    "\2\7\1\3\6\7\1\54\1\63\10\54\1\3\1\7"+
-    "\1\54\2\7\1\3\1\54\1\7\1\54\1\7\1\54"+
-    "\1\7\1\54\1\7\1\54\1\7\1\54\1\7\1\54"+
-    "\1\7\1\54\1\7\1\54\1\7\1\54\1\7\1\54"+
-    "\1\7\1\54\3\7\1\3\1\0\5\3\2\0\7\3"+
-    "\1\53\2\0\1\62\2\7\1\3\7\7\1\62\10\7"+
-    "\1\3\4\7\1\3\32\7\1\3\1\0\5\3\2\0"+
-    "\6\3\107\0\1\3\1\64\2\0\65\3\1\0\1\3"+
-    "\1\65\3\3\2\0\6\3\100\0\1\66\6\0\1\3"+
-    "\1\67\2\0\65\3\1\0\5\3\2\0\7\3\1\70"+
-    "\2\0\65\3\1\0\5\3\2\0\7\3\1\71\2\0"+
-    "\65\3\1\0\5\3\2\0\6\3\2\0\1\72\1\73"+
-    "\3\0\1\34\20\0\1\35\4\0\1\36\2\0\2\37"+
-    "\32\0\1\40\1\34\1\41\3\0\1\42\1\0\1\43"+
-    "\1\44\2\0\1\74\2\0\1\75\3\0\1\76\3\0"+
-    "\1\51\1\52\1\0\1\75\2\0\1\76\3\0\1\51"+
-    "\1\52\147\0\2\77\1\100\15\0\1\101\2\0\1\102"+
-    "\3\0\1\103\6\0\1\102\2\0\1\103\64\0\30\34"+
-    "\1\104\40\34\1\0\15\34\44\0\2\105\71\0\1\106"+
-    "\152\0\1\107\111\0\1\110\11\0\1\111\1\112\3\113"+
-    "\1\0\20\113\1\0\3\113\2\0\30\113\25\0\1\114"+
-    "\3\0\1\50\6\0\1\114\2\0\1\50\71\0\1\115"+
-    "\12\0\1\115\77\0\1\116\11\0\1\116\76\0\1\117"+
-    "\11\0\1\117\74\0\1\120\11\0\1\120\111\0\1\121"+
-    "\4\0\1\122\51\0\1\3\1\53\2\0\3\7\1\3"+
-    "\6\7\12\123\1\3\1\7\1\123\2\7\1\3\1\123"+
-    "\1\7\1\123\1\7\1\123\1\7\1\123\1\7\1\123"+
-    "\1\7\1\123\1\7\1\123\1\7\1\123\1\7\1\123"+
-    "\1\7\1\123\1\7\1\123\1\7\1\123\3\7\1\3"+
-    "\1\0\5\3\2\0\7\3\1\53\2\0\3\7\1\3"+
-    "\20\7\1\3\4\7\1\3\2\124\12\7\2\125\14\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\53\2\0\3\7"+
-    "\1\3\6\7\12\123\1\3\1\7\1\123\2\7\1\3"+
-    "\1\126\1\124\1\123\1\7\1\123\1\7\1\123\1\7"+
-    "\1\123\1\7\1\123\1\7\1\127\1\125\1\123\1\7"+
-    "\1\123\1\7\1\123\1\7\1\123\1\7\1\123\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\3\0\40\3\2\130"+
-    "\10\3\2\131\11\3\1\0\5\3\2\0\7\3\1\53"+
-    "\2\0\1\132\2\7\1\3\6\7\1\123\1\133\10\123"+
-    "\1\3\1\7\1\123\2\7\1\3\1\123\1\7\1\123"+
-    "\1\7\1\123\1\7\1\123\1\7\1\123\1\7\1\123"+
-    "\1\7\1\123\1\7\1\123\1\7\1\123\1\7\1\123"+
-    "\1\7\1\123\1\7\1\123\3\7\1\3\1\0\5\3"+
-    "\2\0\7\3\1\53\2\0\1\132\2\7\1\3\7\7"+
-    "\1\132\10\7\1\3\4\7\1\3\32\7\1\3\1\0"+
-    "\5\3\2\0\7\3\1\53\2\0\3\7\1\3\20\7"+
-    "\1\3\4\7\1\3\2\7\2\134\26\7\1\3\1\0"+
-    "\5\3\2\0\7\3\1\53\2\0\3\7\1\3\6\7"+
-    "\12\123\1\3\1\7\1\123\2\7\1\3\1\123\1\7"+
-    "\1\135\1\134\1\123\1\7\1\123\1\7\1\123\1\7"+
-    "\1\123\1\7\1\123\1\7\1\123\1\7\1\123\1\7"+
-    "\1\123\1\7\1\123\1\7\1\123\3\7\1\3\1\0"+
-    "\5\3\2\0\7\3\1\136\2\0\65\3\1\0\5\3"+
-    "\2\0\6\3\1\0\1\137\2\0\1\140\3\0\1\141"+
-    "\6\0\1\140\2\0\1\141\70\0\1\142\3\0\1\76"+
-    "\6\0\1\142\2\0\1\76\71\0\1\143\12\0\1\143"+
-    "\77\0\1\144\11\0\1\144\154\0\1\145\21\0\1\102"+
-    "\3\0\1\103\6\0\1\102\2\0\1\103\71\0\1\146"+
-    "\12\0\1\146\77\0\1\147\11\0\1\147\127\0\2\150"+
-    "\10\0\2\151\42\0\1\152\11\0\1\152\155\0\1\34"+
-    "\13\0\1\153\106\0\1\154\2\0\1\155\3\0\1\156"+
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-    "\1\0\20\237\1\0\2\313\1\237\2\0\30\237\22\0"+
-    "\1\307\2\0\3\237\1\0\20\237\1\0\2\313\1\237"+
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-    "\1\305\15\0\1\315\2\0\3\237\1\0\20\237\1\0"+
-    "\3\237\2\0\10\237\2\310\16\237\22\0\1\315\2\0"+
-    "\3\237\1\0\4\237\1\u010c\11\237\1\u010c\1\237\1\0"+
-    "\3\237\2\0\30\237\22\0\1\315\2\0\3\237\1\0"+
-    "\3\237\1\u010d\11\237\1\u010d\2\237\1\0\3\237\2\0"+
-    "\30\237\22\0\1\315\2\0\3\237\1\0\4\237\1\311"+
-    "\11\237\1\311\1\237\1\0\3\237\2\0\30\237\22\0"+
-    "\1\315\2\0\3\237\1\0\2\237\1\u010e\11\237\1\u010e"+
-    "\3\237\1\0\3\237\2\0\30\237\22\0\1\u010f\105\0"+
-    "\1\3\1\174\2\0\3\7\1\3\6\7\12\u0110\1\3"+
-    "\1\7\1\u0110\2\7\1\3\1\u0110\1\7\1\u0110\1\7"+
-    "\1\u0110\1\7\1\u0110\1\7\1\u0110\1\7\1\u0110\1\7"+
-    "\1\u0110\1\7\1\u0110\1\7\1\u0110\1\7\1\u0110\1\7"+
-    "\1\u0110\1\7\1\u0110\3\7\1\3\1\0\5\3\2\0"+
-    "\6\3\1\0\1\307\2\0\3\u0100\1\0\20\u0100\1\0"+
-    "\3\u0100\1\u0101\1\0\30\u0100\2\u0101\2\304\1\305\15\0"+
-    "\1\303\2\0\3\u0101\1\0\20\u0101\1\0\4\u0101\1\0"+
-    "\32\u0101\2\304\1\305\14\0\1\3\1\53\2\0\3\7"+
-    "\1\3\20\7\1\3\4\7\1\3\12\7\2\176\16\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u0110\1\3\1\7\1\u0110\2\7\1\3"+
-    "\1\u0110\1\7\1\u0110\1\7\1\u0110\1\7\1\u0110\1\7"+
-    "\1\u0110\1\7\1\u0111\1\176\1\u0110\1\7\1\u0110\1\7"+
-    "\1\u0110\1\7\1\u0110\1\7\1\u0110\1\7\1\u0110\3\7"+
-    "\1\3\1\0\5\3\2\0\6\3\10\0\1\141\11\0"+
-    "\1\141\73\0\1\72\60\0\2\77\1\100\24\0\1\156"+
-    "\11\0\1\156\65\0\1\153\2\0\3\223\1\111\20\223"+
-    "\1\0\3\223\2\0\30\223\25\0\3\u0112\1\0\20\u0112"+
-    "\1\0\3\u0112\2\0\30\u0112\22\0\1\315\2\0\3\237"+
-    "\1\0\20\237\1\0\3\237\2\0\6\237\2\u0113\20\237"+
-    "\22\0\1\315\2\0\3\237\1\0\20\237\1\0\3\237"+
-    "\2\0\12\237\2\u0114\14\237\22\0\1\315\2\0\3\237"+
-    "\1\0\1\237\1\u0113\11\237\1\u0113\4\237\1\0\3\237"+
-    "\2\0\30\237\22\0\1\315\2\0\3\237\1\0\20\237"+
-    "\1\0\3\237\2\0\12\237\2\u0115\14\237\22\0\1\315"+
-    "\2\0\3\237\1\0\20\237\1\0\3\237\2\0\6\237"+
-    "\2\313\20\237\21\0\1\3\1\174\2\0\3\7\1\3"+
-    "\6\7\12\u0116\1\3\1\7\1\u0116\2\7\1\3\1\u0116"+
-    "\1\7\1\u0116\1\7\1\u0116\1\7\1\u0116\1\7\1\u0116"+
-    "\1\7\1\u0116\1\7\1\u0116\1\7\1\u0116\1\7\1\u0116"+
-    "\1\7\1\u0116\1\7\1\u0116\1\7\1\u0116\3\7\1\3"+
-    "\1\0\5\3\2\0\7\3\1\202\2\0\3\7\1\3"+
-    "\6\7\12\u0116\1\3\1\7\1\u0116\2\7\1\3\1\u0116"+
-    "\1\7\1\u0116\1\7\1\u0116\1\7\1\u0116\1\7\1\u0116"+
-    "\1\7\1\u0116\1\7\1\u0116\1\7\1\u0116\1\7\1\u0116"+
-    "\1\7\1\u0116\1\7\1\u0116\1\7\1\u0116\3\7\1\3"+
-    "\1\0\5\3\2\0\6\3\1\0\1\u0117\2\0\3\u0112"+
-    "\1\0\20\u0112\1\0\3\u0112\2\0\30\u0112\22\0\1\315"+
-    "\2\0\3\237\1\0\20\237\1\0\3\237\2\0\22\237"+
-    "\2\u0118\4\237\22\0\1\307\2\0\3\237\1\0\20\237"+
-    "\1\0\3\237\2\0\4\237\2\375\22\237\2\0\2\304"+
-    "\1\305\15\0\1\315\2\0\3\237\1\0\20\237\1\0"+
-    "\3\237\2\0\6\237\2\332\20\237\21\0\1\3\1\174"+
-    "\2\0\3\7\1\3\6\7\12\u0119\1\3\1\7\1\u0119"+
-    "\2\7\1\3\1\u0119\1\7\1\u0119\1\7\1\u0119\1\7"+
-    "\1\u0119\1\7\1\u0119\1\7\1\u0119\1\7\1\u0119\1\7"+
-    "\1\u0119\1\7\1\u0119\1\7\1\u0119\1\7\1\u0119\1\7"+
-    "\1\u0119\3\7\1\3\1\0\5\3\2\0\6\3\35\0"+
-    "\1\u011a\52\0\1\315\2\0\3\237\1\0\20\237\1\0"+
-    "\3\237\2\0\2\u011b\26\237\21\0\1\3\1\174\2\0"+
-    "\3\7\1\3\6\7\12\u011c\1\3\1\7\1\u011c\2\7"+
-    "\1\3\1\u011c\1\7\1\u011c\1\7\1\u011c\1\7\1\u011c"+
-    "\1\7\1\u011c\1\7\1\u011c\1\7\1\u011c\1\7\1\u011c"+
-    "\1\7\1\u011c\1\7\1\u011c\1\7\1\u011c\1\7\1\u011c"+
-    "\3\7\1\3\1\0\5\3\2\0\6\3\1\0\1\u011d"+
-    "\106\0\1\315\2\0\3\237\1\0\20\237\1\0\3\237"+
-    "\2\0\2\237\2\u011e\24\237\21\0\1\3\1\174\2\0"+
-    "\3\7\1\3\6\7\12\u011f\1\3\1\7\1\u011f\2\7"+
-    "\1\3\1\u011f\1\7\1\u011f\1\7\1\u011f\1\7\1\u011f"+
-    "\1\7\1\u011f\1\7\1\u011f\1\7\1\u011f\1\7\1\u011f"+
-    "\1\7\1\u011f\1\7\1\u011f\1\7\1\u011f\1\7\1\u011f"+
-    "\3\7\1\3\1\0\5\3\2\0\6\3\4\0\3\u0120"+
-    "\1\0\20\u0120\1\0\3\u0120\2\0\30\u0120\22\0\1\315"+
-    "\2\0\3\237\1\0\5\237\1\310\11\237\1\310\1\0"+
-    "\3\237\2\0\30\237\21\0\1\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u0121\1\3\1\7\1\u0121\2\7\1\3"+
-    "\1\u0121\1\7\1\u0121\1\7\1\u0121\1\7\1\u0121\1\7"+
-    "\1\u0121\1\7\1\u0121\1\7\1\u0121\1\7\1\u0121\1\7"+
-    "\1\u0121\1\7\1\u0121\1\7\1\u0121\1\7\1\u0121\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u0122\1\3\1\7\1\u0122\2\7\1\3"+
-    "\1\u0122\1\7\1\u0122\1\7\1\u0122\1\7\1\u0122\1\7"+
-    "\1\u0122\1\7\1\u0122\1\7\1\u0122\1\7\1\u0122\1\7"+
-    "\1\u0122\1\7\1\u0122\1\7\1\u0122\1\7\1\u0122\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u0123\1\3\1\7\1\u0123\2\7\1\3"+
-    "\1\u0123\1\7\1\u0123\1\7\1\u0123\1\7\1\u0123\1\7"+
-    "\1\u0123\1\7\1\u0123\1\7\1\u0123\1\7\1\u0123\1\7"+
-    "\1\u0123\1\7\1\u0123\1\7\1\u0123\1\7\1\u0123\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u0124\1\3\1\7\1\u0124\2\7\1\3"+
-    "\1\u0124\1\7\1\u0124\1\7\1\u0124\1\7\1\u0124\1\7"+
-    "\1\u0124\1\7\1\u0124\1\7\1\u0124\1\7\1\u0124\1\7"+
-    "\1\u0124\1\7\1\u0124\1\7\1\u0124\1\7\1\u0124\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u0125\1\3\1\7\1\u0125\2\7\1\3"+
-    "\1\u0125\1\7\1\u0125\1\7\1\u0125\1\7\1\u0125\1\7"+
-    "\1\u0125\1\7\1\u0125\1\7\1\u0125\1\7\1\u0125\1\7"+
-    "\1\u0125\1\7\1\u0125\1\7\1\u0125\1\7\1\u0125\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u0126\1\3\1\7\1\u0126\2\7\1\3"+
-    "\1\u0126\1\7\1\u0126\1\7\1\u0126\1\7\1\u0126\1\7"+
-    "\1\u0126\1\7\1\u0126\1\7\1\u0126\1\7\1\u0126\1\7"+
-    "\1\u0126\1\7\1\u0126\1\7\1\u0126\1\7\1\u0126\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u0127\1\3\1\7\1\u0127\2\7\1\3"+
-    "\1\u0127\1\7\1\u0127\1\7\1\u0127\1\7\1\u0127\1\7"+
-    "\1\u0127\1\7\1\u0127\1\7\1\u0127\1\7\1\u0127\1\7"+
-    "\1\u0127\1\7\1\u0127\1\7\1\u0127\1\7\1\u0127\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u0128\1\3\1\7\1\u0128\2\7\1\3"+
-    "\1\u0128\1\7\1\u0128\1\7\1\u0128\1\7\1\u0128\1\7"+
-    "\1\u0128\1\7\1\u0128\1\7\1\u0128\1\7\1\u0128\1\7"+
-    "\1\u0128\1\7\1\u0128\1\7\1\u0128\1\7\1\u0128\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u0129\1\3\1\7\1\u0129\2\7\1\3"+
-    "\1\u0129\1\7\1\u0129\1\7\1\u0129\1\7\1\u0129\1\7"+
-    "\1\u0129\1\7\1\u0129\1\7\1\u0129\1\7\1\u0129\1\7"+
-    "\1\u0129\1\7\1\u0129\1\7\1\u0129\1\7\1\u0129\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u012a\1\3\1\7\1\u012a\2\7\1\3"+
-    "\1\u012a\1\7\1\u012a\1\7\1\u012a\1\7\1\u012a\1\7"+
-    "\1\u012a\1\7\1\u012a\1\7\1\u012a\1\7\1\u012a\1\7"+
-    "\1\u012a\1\7\1\u012a\1\7\1\u012a\1\7\1\u012a\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u012b\1\3\1\7\1\u012b\2\7\1\3"+
-    "\1\u012b\1\7\1\u012b\1\7\1\u012b\1\7\1\u012b\1\7"+
-    "\1\u012b\1\7\1\u012b\1\7\1\u012b\1\7\1\u012b\1\7"+
-    "\1\u012b\1\7\1\u012b\1\7\1\u012b\1\7\1\u012b\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u012c\1\3\1\7\1\u012c\2\7\1\3"+
-    "\1\u012c\1\7\1\u012c\1\7\1\u012c\1\7\1\u012c\1\7"+
-    "\1\u012c\1\7\1\u012c\1\7\1\u012c\1\7\1\u012c\1\7"+
-    "\1\u012c\1\7\1\u012c\1\7\1\u012c\1\7\1\u012c\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u012d\1\3\1\7\1\u012d\2\7\1\3"+
-    "\1\u012d\1\7\1\u012d\1\7\1\u012d\1\7\1\u012d\1\7"+
-    "\1\u012d\1\7\1\u012d\1\7\1\u012d\1\7\1\u012d\1\7"+
-    "\1\u012d\1\7\1\u012d\1\7\1\u012d\1\7\1\u012d\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u012e\1\3\1\7\1\u012e\2\7\1\3"+
-    "\1\u012e\1\7\1\u012e\1\7\1\u012e\1\7\1\u012e\1\7"+
-    "\1\u012e\1\7\1\u012e\1\7\1\u012e\1\7\1\u012e\1\7"+
-    "\1\u012e\1\7\1\u012e\1\7\1\u012e\1\7\1\u012e\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u012f\1\3\1\7\1\u012f\2\7\1\3"+
-    "\1\u012f\1\7\1\u012f\1\7\1\u012f\1\7\1\u012f\1\7"+
-    "\1\u012f\1\7\1\u012f\1\7\1\u012f\1\7\1\u012f\1\7"+
-    "\1\u012f\1\7\1\u012f\1\7\1\u012f\1\7\1\u012f\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u0130\1\3\1\7\1\u0130\2\7\1\3"+
-    "\1\u0130\1\7\1\u0130\1\7\1\u0130\1\7\1\u0130\1\7"+
-    "\1\u0130\1\7\1\u0130\1\7\1\u0130\1\7\1\u0130\1\7"+
-    "\1\u0130\1\7\1\u0130\1\7\1\u0130\1\7\1\u0130\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u0131\1\3\1\7\1\u0131\2\7\1\3"+
-    "\1\u0131\1\7\1\u0131\1\7\1\u0131\1\7\1\u0131\1\7"+
-    "\1\u0131\1\7\1\u0131\1\7\1\u0131\1\7\1\u0131\1\7"+
-    "\1\u0131\1\7\1\u0131\1\7\1\u0131\1\7\1\u0131\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\6\7\12\u0132\1\3\1\7\1\u0132\2\7\1\3"+
-    "\1\u0132\1\7\1\u0132\1\7\1\u0132\1\7\1\u0132\1\7"+
-    "\1\u0132\1\7\1\u0132\1\7\1\u0132\1\7\1\u0132\1\7"+
-    "\1\u0132\1\7\1\u0132\1\7\1\u0132\1\7\1\u0132\3\7"+
-    "\1\3\1\0\5\3\2\0\7\3\1\174\2\0\3\7"+
-    "\1\3\20\7\1\3\4\7\1\3\32\7\1\3\1\0"+
-    "\5\3\2\0\6\3";
-
-  private static int [] zzUnpackTrans() {
-    int [] result = new int[19525];
-    int offset = 0;
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackTrans(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      value--;
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-
-  /* error codes */
-  private static final int ZZ_UNKNOWN_ERROR = 0;
-  private static final int ZZ_NO_MATCH = 1;
-  private static final int ZZ_PUSHBACK_2BIG = 2;
-
-  /* error messages for the codes above */
-  private static final String ZZ_ERROR_MSG[] = {
-    "Unkown internal scanner error",
-    "Error: could not match input",
-    "Error: pushback value was too large"
-  };
-
-  /**
-   * ZZ_ATTRIBUTE[aState] contains the attributes of state <code>aState</code>
-   */
-  private static final int [] ZZ_ATTRIBUTE = zzUnpackAttribute();
-
-  private static final String ZZ_ATTRIBUTE_PACKED_0 =
-    "\2\0\15\1\1\11\2\1\1\11\4\1\1\11\1\1"+
-    "\2\0\1\11\3\0\2\1\3\11\7\0\10\1\1\11"+
-    "\1\1\4\11\1\1\4\0\1\11\1\1\3\0\1\11"+
-    "\6\0\1\11\7\0\13\1\1\11\6\0\1\11\4\0"+
-    "\1\11\5\0\1\1\2\0\1\11\1\0\1\11\7\0"+
-    "\2\1\1\0\2\1\1\0\5\1\5\0\1\1\5\0"+
-    "\1\11\3\0\3\1\4\0\15\1\1\0\1\1\1\0"+
-    "\4\1\4\0\3\1\10\0\1\1\1\0\2\11\1\1"+
-    "\1\0\6\1\1\0\20\1\1\0\1\1\1\0\3\1"+
-    "\3\0\1\1\3\0\1\1\5\0\1\11\2\0\12\1"+
-    "\1\0\2\1\1\0\2\1\1\11\1\0\1\1\3\0"+
-    "\5\1\1\11\7\1\1\0\2\1\1\0\2\1\1\0"+
-    "\25\1";
-
-  private static int [] zzUnpackAttribute() {
-    int [] result = new int[306];
-    int offset = 0;
-    offset = zzUnpackAttribute(ZZ_ATTRIBUTE_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackAttribute(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-  /** the input device */
-  private java.io.Reader zzReader;
-
-  /** the current state of the DFA */
-  private int zzState;
-
-  /** the current lexical state */
-  private int zzLexicalState = YYINITIAL;
-
-  /** this buffer contains the current text to be matched and is
-      the source of the yytext() string */
-  private char zzBuffer[] = new char[ZZ_BUFFERSIZE];
-
-  /** the textposition at the last accepting state */
-  private int zzMarkedPos;
-
-  /** the current text position in the buffer */
-  private int zzCurrentPos;
-
-  /** startRead marks the beginning of the yytext() string in the buffer */
-  private int zzStartRead;
-
-  /** endRead marks the last character in the buffer, that has been read
-      from input */
-  private int zzEndRead;
-
-  /** number of newlines encountered up to the start of the matched text */
-  private int yyline;
-
-  /** the number of characters up to the start of the matched text */
-  private int yychar;
-
-  /**
-   * the number of characters from the last newline up to the start of the 
-   * matched text
-   */
-  private int yycolumn;
-
-  /** 
-   * zzAtBOL == true <=> the scanner is currently at the beginning of a line
-   */
-  private boolean zzAtBOL = true;
-
-  /** zzAtEOF == true <=> the scanner is at the EOF */
-  private boolean zzAtEOF;
-
-  /** denotes if the user-EOF-code has already been executed */
-  private boolean zzEOFDone;
-
-  /* user code: */
-
-/*
-"'T WAS"
-{ return("'TWAS"); }
-"'T was"
-{ return("'Twas"); }
-"'t was"
-{ return("'twas"); }
-"'T IS"
-{ return("'TIS"); }
-"'T is"
-{ return("'Tis"); }
-"'t is"
-{ return("'tis"); }
-*/
-
-  private static String removeWhite(String in) {
-    StringBuilder out = new StringBuilder();
-    for (int i = 0, len = in.length(); i < len; i++) {
-      char ch = in.charAt(i);
-      if (ch != ' ') {
-        out.append(ch);
-      }
-    }
-    return out.toString();
-  }
-
-
-
-  /**
-   * Creates a new scanner
-   * There is also a java.io.InputStream version of this constructor.
-   *
-   * @param   in  the java.io.Reader to read input from.
-   */
-  PTB2TextLexer(java.io.Reader in) {
-    this.zzReader = in;
-  }
-
-  /**
-   * Creates a new scanner.
-   * There is also java.io.Reader version of this constructor.
-   *
-   * @param   in  the java.io.Inputstream to read input from.
-   */
-  PTB2TextLexer(java.io.InputStream in) {
-    this(new java.io.InputStreamReader(in));
-  }
-
-  /** 
-   * Unpacks the compressed character translation table.
-   *
-   * @param packed   the packed character translation table
-   * @return         the unpacked character translation table
-   */
-  private static char [] zzUnpackCMap(String packed) {
-    char [] map = new char[0x10000];
-    int i = 0;  /* index in packed string  */
-    int j = 0;  /* index in unpacked array */
-    while (i < 1348) {
-      int  count = packed.charAt(i++);
-      char value = packed.charAt(i++);
-      do map[j++] = value; while (--count > 0);
-    }
-    return map;
-  }
-
-
-  /**
-   * Refills the input buffer.
-   *
-   * @return      <code>false</code>, iff there was new input.
-   * 
-   * @exception   java.io.IOException  if any I/O-Error occurs
-   */
-  private boolean zzRefill() throws java.io.IOException {
-
-    /* first: make room (if you can) */
-    if (zzStartRead > 0) {
-      System.arraycopy(zzBuffer, zzStartRead,
-                       zzBuffer, 0,
-                       zzEndRead-zzStartRead);
-
-      /* translate stored positions */
-      zzEndRead-= zzStartRead;
-      zzCurrentPos-= zzStartRead;
-      zzMarkedPos-= zzStartRead;
-      zzStartRead = 0;
-    }
-
-    /* is the buffer big enough? */
-    if (zzCurrentPos >= zzBuffer.length) {
-      /* if not: blow it up */
-      char newBuffer[] = new char[zzCurrentPos*2];
-      System.arraycopy(zzBuffer, 0, newBuffer, 0, zzBuffer.length);
-      zzBuffer = newBuffer;
-    }
-
-    /* finally: fill the buffer with new input */
-    int numRead = zzReader.read(zzBuffer, zzEndRead,
-                                            zzBuffer.length-zzEndRead);
-
-    if (numRead > 0) {
-      zzEndRead+= numRead;
-      return false;
-    }
-    // unlikely but not impossible: read 0 characters, but not at end of stream    
-    if (numRead == 0) {
-      int c = zzReader.read();
-      if (c == -1) {
-        return true;
-      } else {
-        zzBuffer[zzEndRead++] = (char) c;
-        return false;
-      }     
-    }
-
-	// numRead < 0
-    return true;
-  }
-
-    
-  /**
-   * Closes the input stream.
-   */
-  public final void yyclose() throws java.io.IOException {
-    zzAtEOF = true;            /* indicate end of file */
-    zzEndRead = zzStartRead;  /* invalidate buffer    */
-
-    if (zzReader != null)
-      zzReader.close();
-  }
-
-
-  /**
-   * Resets the scanner to read from a new input stream.
-   * Does not close the old reader.
-   *
-   * All internal variables are reset, the old input stream 
-   * <b>cannot</b> be reused (internal buffer is discarded and lost).
-   * Lexical state is set to <tt>ZZ_INITIAL</tt>.
-   *
-   * @param reader   the new input stream 
-   */
-  public final void yyreset(java.io.Reader reader) {
-    zzReader = reader;
-    zzAtBOL  = true;
-    zzAtEOF  = false;
-    zzEOFDone = false;
-    zzEndRead = zzStartRead = 0;
-    zzCurrentPos = zzMarkedPos = 0;
-    yyline = yychar = yycolumn = 0;
-    zzLexicalState = YYINITIAL;
-  }
-
-
-  /**
-   * Returns the current lexical state.
-   */
-  public final int yystate() {
-    return zzLexicalState;
-  }
-
-
-  /**
-   * Enters a new lexical state
-   *
-   * @param newState the new lexical state
-   */
-  public final void yybegin(int newState) {
-    zzLexicalState = newState;
-  }
-
-
-  /**
-   * Returns the text matched by the current regular expression.
-   */
-  public final String yytext() {
-    return new String( zzBuffer, zzStartRead, zzMarkedPos-zzStartRead );
-  }
-
-
-  /**
-   * Returns the character at position <tt>pos</tt> from the 
-   * matched text. 
-   * 
-   * It is equivalent to yytext().charAt(pos), but faster
-   *
-   * @param pos the position of the character to fetch. 
-   *            A value from 0 to yylength()-1.
-   *
-   * @return the character at position pos
-   */
-  public final char yycharat(int pos) {
-    return zzBuffer[zzStartRead+pos];
-  }
-
-
-  /**
-   * Returns the length of the matched text region.
-   */
-  public final int yylength() {
-    return zzMarkedPos-zzStartRead;
-  }
-
-
-  /**
-   * Reports an error that occured while scanning.
-   *
-   * In a wellformed scanner (no or only correct usage of 
-   * yypushback(int) and a match-all fallback rule) this method 
-   * will only be called with things that "Can't Possibly Happen".
-   * If this method is called, something is seriously wrong
-   * (e.g. a JFlex bug producing a faulty scanner etc.).
-   *
-   * Usual syntax/scanner level error handling should be done
-   * in error fallback rules.
-   *
-   * @param   errorCode  the code of the errormessage to display
-   */
-  private void zzScanError(int errorCode) {
-    String message;
-    try {
-      message = ZZ_ERROR_MSG[errorCode];
-    }
-    catch (ArrayIndexOutOfBoundsException e) {
-      message = ZZ_ERROR_MSG[ZZ_UNKNOWN_ERROR];
-    }
-
-    throw new Error(message);
-  } 
-
-
-  /**
-   * Pushes the specified amount of characters back into the input stream.
-   *
-   * They will be read again by then next call of the scanning method
-   *
-   * @param number  the number of characters to be read again.
-   *                This number must not be greater than yylength()!
-   */
-  public void yypushback(int number)  {
-    if ( number > yylength() )
-      zzScanError(ZZ_PUSHBACK_2BIG);
-
-    zzMarkedPos -= number;
-  }
-
-
-  /**
-   * Resumes scanning until the next regular expression is matched,
-   * the end of input is encountered or an I/O-Error occurs.
-   *
-   * @return      the next token
-   * @exception   java.io.IOException  if any I/O-Error occurs
-   */
-  public String next() throws java.io.IOException {
-    int zzInput;
-    int zzAction;
-
-    // cached fields:
-    int zzCurrentPosL;
-    int zzMarkedPosL;
-    int zzEndReadL = zzEndRead;
-    char [] zzBufferL = zzBuffer;
-    char [] zzCMapL = ZZ_CMAP;
-
-    int [] zzTransL = ZZ_TRANS;
-    int [] zzRowMapL = ZZ_ROWMAP;
-    int [] zzAttrL = ZZ_ATTRIBUTE;
-
-    while (true) {
-      zzMarkedPosL = zzMarkedPos;
-
-      zzAction = -1;
-
-      zzCurrentPosL = zzCurrentPos = zzStartRead = zzMarkedPosL;
-  
-      zzState = ZZ_LEXSTATE[zzLexicalState];
-
-
-      zzForAction: {
-        while (true) {
-    
-          if (zzCurrentPosL < zzEndReadL)
-            zzInput = zzBufferL[zzCurrentPosL++];
-          else if (zzAtEOF) {
-            zzInput = YYEOF;
-            break zzForAction;
-          }
-          else {
-            // store back cached positions
-            zzCurrentPos  = zzCurrentPosL;
-            zzMarkedPos   = zzMarkedPosL;
-            boolean eof = zzRefill();
-            // get translated positions and possibly new buffer
-            zzCurrentPosL  = zzCurrentPos;
-            zzMarkedPosL   = zzMarkedPos;
-            zzBufferL      = zzBuffer;
-            zzEndReadL     = zzEndRead;
-            if (eof) {
-              zzInput = YYEOF;
-              break zzForAction;
-            }
-            else {
-              zzInput = zzBufferL[zzCurrentPosL++];
-            }
-          }
-          int zzNext = zzTransL[ zzRowMapL[zzState] + zzCMapL[zzInput] ];
-          if (zzNext == -1) break zzForAction;
-          zzState = zzNext;
-
-          int zzAttributes = zzAttrL[zzState];
-          if ( (zzAttributes & 1) == 1 ) {
-            zzAction = zzState;
-            zzMarkedPosL = zzCurrentPosL;
-            if ( (zzAttributes & 8) == 8 ) break zzForAction;
-          }
-
-        }
-      }
-
-      // store back cached position
-      zzMarkedPos = zzMarkedPosL;
-
-      switch (zzAction < 0 ? zzAction : ZZ_ACTION[zzAction]) {
-        case 21: 
-          { return("n't");
-          }
-        case 31: break;
-        case 28: 
-          // lookahead expression with fixed lookahead length
-          yypushback(2);
-          { return yytext();
-          }
-        case 32: break;
-        case 27: 
-          // lookahead expression with fixed lookahead length
-          yypushback(1);
-          { return yytext();
-          }
-        case 33: break;
-        case 26: 
-          // lookahead expression with fixed lookahead length
-          yypushback(1);
-          { return yytext();
-          }
-        case 34: break;
-        case 12: 
-          { return "/";
-          }
-        case 35: break;
-        case 5: 
-          { return yytext();
-          }
-        case 36: break;
-        case 3: 
-          { return "&";
-          }
-        case 37: break;
-        case 6: 
-          { yybegin(YYINITIAL); return "\"";
-          }
-        case 38: break;
-        case 13: 
-          { return "(";
-          }
-        case 39: break;
-        case 8: 
-          { return(")");
-          }
-        case 40: break;
-        case 22: 
-          { return "<";
-          }
-        case 41: break;
-        case 23: 
-          { return ">";
-          }
-        case 42: break;
-        case 29: 
-          { return "cannot";
-          }
-        case 43: break;
-        case 1: 
-          { return(yytext());
-          }
-        case 44: break;
-        case 20: 
-          // lookahead expression with fixed lookahead length
-          yypushback(2);
-          { return "\"";
-          }
-        case 45: break;
-        case 16: 
-          // lookahead expression with fixed lookahead length
-          yypushback(1);
-          { return "\"";
-          }
-        case 46: break;
-        case 17: 
-          { return "\"";
-          }
-        case 47: break;
-        case 11: 
-          { return("`");
-          }
-        case 48: break;
-        case 14: 
-          { return("{");
-          }
-        case 49: break;
-        case 19: 
-          { return("\"");
-          }
-        case 50: break;
-        case 15: 
-          { return("$");
-          }
-        case 51: break;
-        case 7: 
-          { return(yytext().substring(1, yytext().length()));
-          }
-        case 52: break;
-        case 24: 
-          // lookahead expression with fixed lookahead length
-          yypushback(1);
-          { yybegin(INQUOTE); return "\" \"";
-          }
-        case 53: break;
-        case 10: 
-          { return("%");
-          }
-        case 54: break;
-        case 4: 
-          { yybegin(YYINITIAL); return(yytext());
-          }
-        case 55: break;
-        case 9: 
-          { return("}");
-          }
-        case 56: break;
-        case 30: 
-          // lookahead expression with fixed lookahead length
-          yypushback(1);
-          { return removeWhite(yytext());
-          }
-        case 57: break;
-        case 25: 
-          { return removeWhite(yytext());
-          }
-        case 58: break;
-        case 18: 
-          // lookahead expression with fixed lookahead length
-          yypushback(1);
-          { yybegin(INQUOTE); return "\"";
-          }
-        case 59: break;
-        case 2: 
-          { yybegin(INQUOTE); return "\"";
-          }
-        case 60: break;
-        default: 
-          if (zzInput == YYEOF && zzStartRead == zzCurrentPos) {
-            zzAtEOF = true;
-              {
-                return null;
-              }
-          } 
-          else {
-            zzScanError(ZZ_NO_MATCH);
-          }
-      }
-    }
-  }
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/PTBLexer.flex b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/PTBLexer.flex
deleted file mode 100644
index 4cadcc3..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/PTBLexer.flex
+++ /dev/null
@@ -1,936 +0,0 @@
-package edu.stanford.nlp.process;
-
-// Stanford English Tokenizer -- a deterministic, fast high-quality tokenizer
-// Copyright (c) 2002-2009 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    java-nlp-support@lists.stanford.edu
-//    http://nlp.stanford.edu/software/
-
-
-import java.io.Reader;
-import java.util.logging.Logger;
-import java.util.Map;
-import java.util.Map.Entry;
-import java.util.Properties;
-import java.util.Set;
-
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.OriginalTextAnnotation;
-import edu.stanford.nlp.util.StringUtils;
-
-
-/** Provides a tokenizer or lexer that does a pretty good job at
- *  deterministically tokenizing English according to Penn Treebank conventions.
- *  The class is a scanner generated by
- *  <a href="http://www.jflex.de/">JFlex</a> (1.4.3) from the specification
- *  file
- *  <code>PTBLexer.flex</code>.  As well as copying what is in the Treebank,
- *  it now contains some extensions to deal with modern text and encoding
- *  issues, such as recognizing URLs and common Unicode characters, and a
- *  variety of options for doing or suppressing certain normalizations.
- *  Although they shouldn't really be there, it also interprets certain of the
- *  characters between U+0080 and U+009F as Windows CP1252 characters.
- *  <p>
- *  <i>Fine points:</i> Output normalized tokens should not contain spaces,
- *  providing the normalizeSpace option is true.  The space will be turned
- *  into a non-breaking space (U+00A0). Otherwise, they can appear in
- *  a couple of token classes (phone numbers, fractions).
- *  The original
- *  PTB tokenization (messy) standard also escapes certain other characters,
- *  such as * and /, and normalizes things like " to `` or ''.  By default,
- *  this tokenizer does all of those things.  However, you can turn them
- *  off by using the ptb3Escaping=false option, or, parts of it on or off,
- *  or unicode
- *  character alternatives on with different options.  You can also build an
- *  invertible tokenizer, with which you can still access the original
- *  character sequence and the non-token whitespace around it in a CoreLabel.
- *  And you can ask for newlines to be tokenized.
- *  <p>
- *  <i>Character entities:</i> For legacy reasons, this file will parse and
- *  interpret some simply SGML/XML/HTML character entities.  For modern formats
- *  like XML, you are better off doing XML parsing, and then running the
- *  tokenizer on CDATA elements.  But we and others frequently work with simple
- *  SGML text corpora that are not XML (like LDC text collections).  In practice,
- *  they only include very simple markup and a few simple entities, and the
- *  combination of the -parseInside option and the minimal character entity
- *  support in this file is enough to handle them. So we leave this functionality
- *  in, even though it could conceivably mess with a correct XML file if the
- *  output of decoding had things that look like character entities.  In general,
- *  handled symbols are changed to ASCII/Unicode forms, but handled accented
- *  letters are just left as character entities in words.
- *  <p>
- *  <i>Character support:</i>  PTBLexer works works for a large subset of
- *  Unicode Base Multilingual Plane characters (only).  It recognizes all
- *  characters that match the JFlex/Java [:letter:] and [:digit] character
- *  class (but, unfortunately, JFlex does not support most
- *  other Unicode character classes available in Java regular expressions).
- *  It also matches all defined characters in the Unicode ranges U+0000-U+07FF
- *  excluding control characters except the ones very standardly found in
- *  plain text documents. Finally select other characters commonly found in
- *  English unicode text are included.
- *  <p>
- *  <i>Implementation note:</i> The scanner is caseless, but note, if adding
- *  or changing regexps, that caseless does not expand inside character
- *  classes.  From the manual: "The %caseless option does not change the
- *  matched text and does not effect character classes. So [a] still only
- *  matches the character a and not A, too."  Note that some character
- *  classes still deliberately don't have both cases, so the scanner's
- *  operation isn't completely case-independent, though it mostly is.
- *  <p>
- *  <i>Implementation note:</i> This Java class is automatically generated
- *  from PTBLexer.flex using jflex.  DO NOT EDIT THE JAVA SOURCE.  This file
- *  has now been updated for JFlex 1.4.2+.  (This required code changes: this
- *  version only works right with JFlex 1.4.2+; the previous version only works
- *  right with JFlex 1.4.1.)
- *
- *  @author Tim Grow
- *  @author Christopher Manning
- *  @author Jenny Finkel
- */
-
-%%
-
-%class PTBLexer
-%unicode
-%function next
-%type Object
-%char
-%caseless
-%state YyStrictlyTreebank3 YyTraditionalTreebank3
-
-%{
-
-  /**
-   * Constructs a new PTBLexer.  You specify the type of result tokens with a
-   * LexedTokenFactory, and can specify the treatment of tokens by boolean
-   * options given in a comma separated String
-   * (e.g., "invertible,normalizeParentheses=true").
-   * If the String is <code>null</code> or empty, you get the traditional
-   * PTB3 normalization behaviour (i.e., you get ptb3Escaping=false).  If you
-   * want no normalization, then you should pass in the String
-   * "ptb3Escaping=false".  The known option names are:
-   * <ol>
-   * <li>invertible: Store enough information about the original form of the
-   *     token and the whitespace around it that a list of tokens can be
-   *     faithfully converted back to the original String.  Valid only if the
-   *     LexedTokenFactory is an instance of CoreLabelTokenFactory.  The
-   *     keys used in it are TextAnnotation for the tokenized form,
-   *     OriginalTextAnnotation for the original string, BeforeAnnotation and
-   *     AfterAnnotation for the whitespace before and after a token, and
-   *     perhaps BeginPositionAnnotation and EndPositionAnnotation to record
-   *     token begin/after end offsets, if they were specified to be recorded
-   *     in TokenFactory construction.  (Like the String class, begin and end
-   *     are done so end - begin gives the token length.)
-   * <li>tokenizeNLs: Whether end-of-lines should become tokens (or just
-   *     be treated as part of whitespace)
-   * <li>ptb3Escaping: Enable all traditional PTB3 token transforms
-   *     (like -LRB-, -RRB-).  This is a macro flag that sets or clears all the
-   *     options below.
-   * <li>americanize: Whether to rewrite common British English spellings
-   *     as American English spellings
-   * <li>normalizeSpace: Whether any spaces in tokens (phone numbers, fractions
-   *     get turned into U+00A0 (non-breaking space).  It's dangerous to turn
-   *     this off for most of our Stanford NLP software, which assumes no
-   *     spaces in tokens.
-   * <li>normalizeAmpersandEntity: Whether to map the XML &amp;amp; to an
-   *      ampersand
-   * <li>normalizeCurrency: Whether to do some awful lossy currency mappings
-   *     to turn common currency characters into $, #, or "cents", reflecting
-   *     the fact that nothing else appears in the old PTB3 WSJ.  (No Euro!)
-   * <li>normalizeFractions: Whether to map certain common composed
-   *     fraction characters to spelled out letter forms like "1/2"
-   * <li>normalizeParentheses: Whether to map round parentheses to -LRB-,
-   *     -RRB-, as in the Penn Treebank
-   * <li>normalizeOtherBrackets: Whether to map other common bracket characters
-   *     to -LCB-, -LRB-, -RCB-, -RRB-, roughly as in the Penn Treebank
-   * <li>asciiQuotes Whether to map quote characters to the traditional ' and "
-   * <li>latexQuotes: Whether to map to ``, `, ', '' for quotes, as in Latex
-   *     and the PTB3 WSJ (though this is now heavily frowned on in Unicode).
-   *     If true, this takes precedence over the setting of unicodeQuotes;
-   *     if both are false, no mapping is done.
-   * <li>unicodeQuotes: Whether to map quotes to the range U+2018 to U+201D,
-   *     the preferred unicode encoding of single and double quotes.
-   * <li>ptb3Ellipsis: Whether to map ellipses to ..., the old PTB3 WSJ coding
-   *     of an ellipsis. If true, this takes precedence over the setting of
-   *     unicodeEllipsis; if both are false, no mapping is done.
-   * <li>unicodeEllipsis: Whether to map dot and optional space sequences to
-   *     U+2026, the Unicode ellipsis character
-   * <li>ptb3Dashes: Whether to turn various dash characters into "--",
-   *     the dominant encoding of dashes in the PTB3 WSJ
-   * <li>escapeForwardSlashAsterisk: Whether to put a backslash escape in front
-   *     of / and * as the old PTB3 WSJ does for some reason (something to do
-   *     with Lisp readers??).
-   * <li>untokenizable: What to do with untokenizable characters (ones not
-   *     known to the tokenizers).  Six options combining whether to log a
-   *     warning for none, the first, or all, and whether to delete them or
-   *     to include them as single character tokens in the output: noneDelete,
-   *     firstDelete, allDelete, noneKeep, firstKeep, allKeep.
-   *     The default is "firstDelete".
-   * <li>strictTreebank3: PTBTokenizer deliberately deviates from strict PTB3
-   *      WSJ tokenization in two cases.  Setting this improves compatibility
-   *      for those cases.  They are: (i) When an acronym is followed by a
-   *      sentence end, such as "U.S." at the end of a sentence, the PTB3
-   *      has tokens of "U.S" and ".", while by default PTBTokenzer duplicates
-   *      the period returning tokens of "U.S." and ".", and (ii) PTBTokenizer
-   *      will return numbers with a whole number and a fractional part like
-   *      "5 7/8" as a single token (with a non-breaking space in the middle),
-   *      while the PTB3 separates them into two tokens "5" and "7/8".
-   * </ol>
-   *
-   * @param r The Reader to tokenize text from
-   * @param tf The LexedTokenFactory that will be invoked to convert
-   *    each substring extracted by the lexer into some kind of Object
-   *    (such as a Word or CoreLabel).
-   */
-  public PTBLexer(Reader r, LexedTokenFactory<?> tf, String options) {
-    this(r);
-    this.tokenFactory = tf;
-    if (options == null) {
-      options = "";
-    }
-    Properties prop = StringUtils.stringToProperties(options);
-    Set<Map.Entry<Object,Object>> props = prop.entrySet();
-    for (Map.Entry<Object,Object> item : props) {
-      String key = (String) item.getKey();
-      String value = (String) item.getValue();
-      boolean val = Boolean.valueOf(value);
-      if ("".equals(key)) {
-        // allow an empty item
-      } else if ("invertible".equals(key)) {
-        invertible = val;
-      } else if ("tokenizeNLs".equals(key)) {
-        tokenizeNLs = val;
-      } else if ("ptb3Escaping".equals(key)) {
-        americanize = val;
-        normalizeSpace = val;
-        normalizeAmpersandEntity = val;
-        normalizeCurrency = val;
-        normalizeFractions = val;
-        normalizeParentheses = val;
-        normalizeOtherBrackets = val;
-        latexQuotes = val;
-        unicodeQuotes = val;
-        asciiQuotes = val;
-        ptb3Ellipsis = val;
-        unicodeEllipsis = val;
-        ptb3Dashes = val;
-        escapeForwardSlashAsterisk = val;
-      } else if ("americanize".equals(key)) {
-        americanize = val;
-      } else if ("normalizeSpace".equals(key)) {
-        normalizeSpace = val;
-      } else if ("normalizeAmpersandEntity".equals(key)) {
-        normalizeAmpersandEntity = val;
-      } else if ("normalizeCurrency".equals(key)) {
-        normalizeCurrency = val;
-      } else if ("normalizeFractions".equals(key)) {
-        normalizeFractions = val;
-      } else if ("normalizeParentheses".equals(key)) {
-        normalizeParentheses = val;
-      } else if ("normalizeOtherBrackets".equals(key)) {
-        normalizeOtherBrackets = val;
-      } else if ("latexQuotes".equals(key)) {
-        latexQuotes = val;
-      } else if ("unicodeQuotes".equals(key)) {
-        unicodeQuotes = val;
-        if (val) {
-          latexQuotes = false; // need to override default
-        }
-      } else if ("asciiQuotes".equals(key)) {
-        asciiQuotes = val;
-        if (val) {
-          latexQuotes = false; // need to override default
-          unicodeQuotes = false;
-        }
-      } else if ("ptb3Ellipsis".equals(key)) {
-        ptb3Ellipsis = val;
-      } else if ("unicodeEllipsis".equals(key)) {
-        unicodeEllipsis = val;
-      } else if ("ptb3Dashes".equals(key)) {
-        ptb3Dashes = val;
-      } else if ("escapeForwardSlashAsterisk".equals(key)) {
-        escapeForwardSlashAsterisk = val;
-      } else if ("untokenizable".equals(key)) {
-	if (value.equals("noneDelete")) {
-	  untokenizable = UntokenizableOptions.NONE_DELETE;
-	} else if (value.equals("firstDelete")) {
-	  untokenizable = UntokenizableOptions.FIRST_DELETE;
-	} else if (value.equals("allDelete")) {
-	  untokenizable = UntokenizableOptions.ALL_DELETE;
-	} else if (value.equals("noneKeep")) {
-	  untokenizable = UntokenizableOptions.NONE_KEEP;
-	} else if (value.equals("firstKeep")) {
-	  untokenizable = UntokenizableOptions.FIRST_KEEP;
-	} else if (value.equals("allKeep")) {
-	  untokenizable = UntokenizableOptions.ALL_KEEP;
-	} else {
-        throw new IllegalArgumentException("PTBLexer: Invalid option value in constructor: " + key + ": " + value);
-	}
-      } else if ("strictTreebank3".equals(key)) {
-        strictTreebank3 = val;
-      } else {
-        throw new IllegalArgumentException("PTBLexer: Invalid options key in constructor: " + key);
-      }
-    }
-    // this.seenUntokenizableCharacter = false; // unnecessary, it's default initialized
-    if (invertible) {
-      if ( ! (tf instanceof CoreLabelTokenFactory)) {
-        throw new IllegalArgumentException("PTBLexer: the invertible option requires a CoreLabelTokenFactory");
-      }
-      prevWord = (CoreLabel) tf.makeToken("", 0, 0);
-      prevWordAfter = new StringBuilder();
-    }
-    if (strictTreebank3) {
-      yybegin(YyStrictlyTreebank3);
-    } else {
-      yybegin(YyTraditionalTreebank3);
-    }
-  }
-
-
-  private static final Logger LOGGER = Logger.getLogger(PTBLexer.class.getName());
-
-  private LexedTokenFactory<?> tokenFactory;
-  private CoreLabel prevWord;
-  private StringBuilder prevWordAfter;
-  private boolean seenUntokenizableCharacter;
-  private enum UntokenizableOptions { NONE_DELETE, FIRST_DELETE, ALL_DELETE, NONE_KEEP, FIRST_KEEP, ALL_KEEP }
-  private UntokenizableOptions untokenizable = UntokenizableOptions.FIRST_DELETE;
-
-  /* Flags begin with historical ptb3Escaping behavior */
-  private boolean invertible;
-  private boolean tokenizeNLs;
-  private boolean americanize = true;
-  private boolean normalizeSpace = true;
-  private boolean normalizeAmpersandEntity = true;
-  private boolean normalizeCurrency = true;
-  private boolean normalizeFractions = true;
-  private boolean normalizeParentheses = true;
-  private boolean normalizeOtherBrackets = true;
-  private boolean latexQuotes = true;
-  private boolean unicodeQuotes;
-  private boolean asciiQuotes;
-  private boolean ptb3Ellipsis = true;
-  private boolean unicodeEllipsis;
-  private boolean ptb3Dashes = true;
-  private boolean escapeForwardSlashAsterisk = true;
-  private boolean strictTreebank3 = false;
-
-  /*
-   * This has now been extended to cover the main Windows CP1252 characters,
-   * at either their correct Unicode codepoints, or in their invalid
-   * positions as 8 bit chars inside the iso-8859 control region.
-   *
-   * ellipsis  	85  	0133  	2026  	8230
-   * single quote curly starting 	91 	0145 	2018 	8216
-   * single quote curly ending 	92 	0146 	2019 	8217
-   * double quote curly starting 	93 	0147 	201C 	8220
-   * double quote curly ending 	94 	0148 	201D 	8221
-   * en dash  	96  	0150  	2013  	8211
-   * em dash  	97  	0151  	2014  	8212
-   */
-
-  public static final String opendblquote = "``";
-  public static final String closedblquote = "''";
-  public static final String openparen = "-LRB-";
-  public static final String closeparen = "-RRB-";
-  public static final String openbrace = "-LCB-";
-  public static final String closebrace = "-RCB-";
-  public static final String ptbmdash = "--";
-  public static final String ptb3EllipsisStr = "...";
-  public static final String unicodeEllipsisStr = "\u2026";
-  /** For tokenizing carriage returns.  (JS) */
-  public static final String NEWLINE_TOKEN = "*NL*";
-
-
-  private Object normalizeFractions(final String in) {
-    String out = in;
-    if (normalizeFractions) {
-      if (escapeForwardSlashAsterisk) {
-        out = out.replaceAll("\u00BC", "1\\\\/4");
-        out = out.replaceAll("\u00BD", "1\\\\/2");
-        out = out.replaceAll("\u00BE", "3\\\\/4");
-        out = out.replaceAll("\u2153", "1\\\\/3");
-        out = out.replaceAll("\u2153", "2\\\\/3");
-     } else {
-        out = out.replaceAll("\u00BC", "1/4");
-        out = out.replaceAll("\u00BD", "1/2");
-        out = out.replaceAll("\u00BE", "3/4");
-        out = out.replaceAll("\u2153", "1/3");
-        out = out.replaceAll("\u2153", "2/3");
-      }
-    }
-    //  System.err.println("normalizeFractions="+normalizeFractions+", escapeForwardSlashAsterisk="+escapeForwardSlashAsterisk);
-    //  System.err.println("Mapped |"+in+"| to |" + out + "|.");
-    return getNext(out, in);
-  }
-
-  private static String removeSoftHyphens(String in) {
-    return in.replaceAll("\u00AD", "");
-  }
-
-  private static String normalizeCurrency(String in) {
-    String s1 = in;
-    s1 = s1.replaceAll("\u00A2", "cents");
-    s1 = s1.replaceAll("\u00A3", "#");  // historically used for pound in PTB3
-    s1 = s1.replaceAll("[\u0080\u00A4\u20A0\u20AC]", "\\$");  // Euro (ECU, generic currency)  -- no good translation!
-    return s1;
-  }
-
-  private static String latexQuotes(String in, boolean probablyLeft) {
-    String s1 = in;
-    if (probablyLeft) {
-      s1 = s1.replaceAll("&apos;|'", "`");
-      s1 = s1.replaceAll("\"|&quot;", "``");
-    } else {
-      s1 = s1.replaceAll("&apos;|'", "'");
-      s1 = s1.replaceAll("\"|&quot;", "''");
-    }
-    s1 = s1.replaceAll("[\u0091\u2018\u201B\u2039]", "`");
-    s1 = s1.replaceAll("[\u0092\u2019\u203A]", "'");
-    s1 = s1.replaceAll("[\u0093\u201C\u00AB]", "``");
-    s1 = s1.replaceAll("[\u0094\u201D\u00BB]", "''");
-    return s1;
-  }
-
-  private static String asciiQuotes(String in, boolean probablyLeft) {
-    String s1 = in;
-    s1 = s1.replaceAll("&apos;|[\u0091\u2018\u0092\u2019\u201A\u201B\u2039\u203A']", "'");
-    s1 = s1.replaceAll("&quot;|[\u0093\u201C\u0094\u201D\u201E\u00AB\u00BB\"]", "\"");
-    return s1;
-  }
-
-  private static String unicodeQuotes(String in, boolean probablyLeft) {
-    String s1 = in;
-    if (probablyLeft) {
-      s1 = s1.replaceAll("&apos;|'", "\u2018");
-      s1 = s1.replaceAll("\"|&quot;", "\u201c");
-    } else {
-      s1 = s1.replaceAll("&apos;|'", "\u2019");
-      s1 = s1.replaceAll("\"|&quot;", "\u201d");
-    }
-    s1 = s1.replaceAll("[\u0091\u2018]", "\u2018");
-    s1 = s1.replaceAll("[\u0092\u2019]", "\u2019");
-    s1 = s1.replaceAll("[\u0093\u201C]", "\u201c");
-    s1 = s1.replaceAll("[\u0094\u201D]", "\u201d");
-    return s1;
-  }
-
-  private Object handleQuotes(String tok, boolean probablyLeft) {
-    String normTok;
-    if (latexQuotes) {
-      normTok = latexQuotes(tok, probablyLeft);
-    } else if (unicodeQuotes) {
-      normTok = unicodeQuotes(tok, probablyLeft);
-    } else if (asciiQuotes) {
-      normTok = asciiQuotes(tok, probablyLeft);
-    } else {
-      normTok = tok;
-    }
-    return getNext(normTok, tok);
-  }
-
-  private Object handleEllipsis(final String tok) {
-    if (ptb3Ellipsis) {
-      return getNext(ptb3EllipsisStr, tok);
-    } else if (unicodeEllipsis) {
-      return getNext(unicodeEllipsisStr, tok);
-    } else {
-      return getNext(tok, tok);
-    }
-  }
-
-  /** This quotes a character with a backslash, but doesn't do it
-   *  if the character is already preceded by a backslash.
-   */
-  private static String delimit(String s, char c) {
-    int i = s.indexOf(c);
-    while (i != -1) {
-      if (i == 0 || s.charAt(i - 1) != '\\') {
-        s = s.substring(0, i) + '\\' + s.substring(i);
-        i = s.indexOf(c, i + 2);
-      } else {
-        i = s.indexOf(c, i + 1);
-      }
-    }
-    return s;
-  }
-
-  private static String normalizeAmp(final String in) {
-    return in.replaceAll("(?i:&amp;)", "&");
-  }
-
-  private Object getNext() {
-    final String txt = yytext();
-    return getNext(txt, txt);
-  }
-
-  /** Make the next token.
-   *  @param txt What the token should be
-   *  @param originalText The original String that got transformed into txt
-   */
-  private Object getNext(String txt, String originalText) {
-    if (invertible) {
-      String str = prevWordAfter.toString();
-      prevWordAfter.setLength(0);
-      CoreLabel word = (CoreLabel) tokenFactory.makeToken(txt, yychar, yylength());
-      word.set(OriginalTextAnnotation.class, originalText);
-      word.set(BeforeAnnotation.class, str);
-      prevWord.set(AfterAnnotation.class, str);
-      prevWord = word;
-      return word;
-    } else {
-      return tokenFactory.makeToken(txt, yychar, yylength());
-   }
-  }
-
-  private Object getNormalizedAmpNext() {
-    final String txt = yytext();
-    if (normalizeAmpersandEntity) {
-      return getNext(normalizeAmp(txt), txt);
-    } else {
-      return getNext();
-    }
-  }
-
-%}
-
-/* Don't allow SGML to cross lines, even though it can...
-   Really SGML shouldn't be here at all, it's kind of legacy. */
-SGML = <\/?[A-Za-z!?][^>\r\n]*>
-SPMDASH = &(MD|mdash|ndash);|[\u0096\u0097\u2013\u2014\u2015]
-SPAMP = &amp;
-SPPUNC = &(HT|TL|UR|LR|QC|QL|QR|odq|cdq|#[0-9]+);
-SPLET = &[aeiouAEIOU](acute|grave|uml);
-/* \u3000 is ideographic space */
-SPACE = [ \t\u00A0\u2000-\u200A\u3000]
-SPACES = {SPACE}+
-NEWLINE = \r|\r?\n|\u2028|\u2029|\u000B|\u000C|\u0085
-SPACENL = ({SPACE}|{NEWLINE})
-SENTEND = {SPACENL}({SPACENL}|([A-Z]|{SGML}))
-DIGIT = [:digit:]|[\u07C0-\u07C9]
-DATE = {DIGIT}{1,2}[\-\/]{DIGIT}{1,2}[\-\/]{DIGIT}{2,4}
-NUM = {DIGIT}+|{DIGIT}*([.:,\u00AD\u066B\u066C]{DIGIT}+)+
-/* Now don't allow bracketed negative numbers!  They have too many uses (e.g.,
-   years or times in parentheses), and having them in tokens messes up
-   treebank parsing.
-   NUMBER = [\-+]?{NUM}|\({NUM}\) */
-NUMBER = [\-+]?{NUM}
-SUBSUPNUM = [\u207A\u207B\u208A\u208B]?([\u2070\u00B9\u00B2\u00B3\u2074-\u2079]+|[\u2080-\u2089]+)
-/* Constrain fraction to only match likely fractions */
-FRAC = ({DIGIT}{1,4}[- \u00A0])?{DIGIT}{1,4}(\\?\/|\u2044){DIGIT}{1,4}
-FRACSTB3 = ({DIGIT}{1,4}-)?{DIGIT}{1,4}(\\?\/|\u2044){DIGIT}{1,4}
-FRAC2 = [\u00BC\u00BD\u00BE\u2153-\u215E]
-DOLSIGN = ([A-Z]*\$|#)
-/* These are cent and pound sign, euro and euro, and Yen, Lira */
-DOLSIGN2 = [\u00A2\u00A3\u00A4\u00A5\u0080\u20A0\u20AC\u060B\u0E3F\u20A4\uFFE0\uFFE1\uFFE5\uFFE6]
-/* not used DOLLAR	{DOLSIGN}[ \t]*{NUMBER}  */
-/* |\( ?{NUMBER} ?\))	 # is for pound signs */
-/* For some reason U+0237-U+024F (dotless j) isn't in [:letter:]. Recent additions? */
-WORD = ([:letter:]|{SPLET}|[\u00AD\u0237-\u024F\u02C2-\u02C5\u02D2-\u02DF\u02E5-\u02FF\u0300-\u036F\u0370-\u037D\u0384\u0385\u03CF\u03F6\u03FC-\u03FF\u0483-\u0487\u04CF\u04F6-\u04FF\u0510-\u0525\u055A-\u055F\u0591-\u05BD\u05BF\u05C1\u05C2\u05C4\u05C5\u05C7\u0615-\u061A\u063B-\u063F\u064B-\u065E\u0670\u06D6-\u06EF\u06FA-\u06FF\u070F\u0711\u0730-\u074F\u0750-\u077F\u07A6-\u07B1\u07CA-\u07F5\u07FA\u0900-\u0903\u093C\u093E-\u094E\u0951-\u0955\u0962-\u0963\u0981-\u0983\u09BC-\u09C4\u09C7\u09C8\u09CB-\u09CD\u09D7\u09E2\u09E3\u0A01-\u0A03\u0A3C\u0A3E-\u0A4F\u0A81-\u0A83\u0ABC-\u0ACF\u0B82\u0BBE-\u0BC2\u0BC6-\u0BC8\u0BCA-\u0BCD\u0C01-\u0C03\u0C3E-\u0C56\u0D3E-\u0D44\u0D46-\u0D48\u0E30-\u0E3A\u0E47-\u0E4E\u0EB1-\u0EBC\u0EC8-\u0ECD])+
-/* The $ was for things like New$ */
-/* WAS: only keep hyphens with short one side like co-ed */
-/* But treebank just allows hyphenated things as words! */
-THING = ([dDoOlL]{APOSETCETERA}([:letter:]|[:digit:]))?([:letter:]|[:digit:])+({HYPHEN}([dDoOlL]{APOSETCETERA}([:letter:]|[:digit:]))?([:letter:]|[:digit:])+)*
-THINGA = [A-Z]+(([+&]|{SPAMP})[A-Z]+)+
-THING3 = [A-Za-z0-9]+(-[A-Za-z]+){0,2}(\\?\/[A-Za-z0-9]+(-[A-Za-z]+){0,2}){1,2}
-APOS = ['\u0092\u2019]|&apos;
-/* Includes extra ones that may appear inside a word, rightly or wrongly */
-APOSETCETERA = {APOS}|[\u0091\u2018\u201B]
-HTHING = [A-Za-z0-9][A-Za-z0-9.,\u00AD]*(-([A-Za-z0-9\u00AD]+|{ACRO}\.))+
-REDAUX = {APOS}([msdMSD]|re|ve|ll)
-/* For things that will have n't on the end. They can't end in 'n' */
-/* \u00AD is soft hyphen */
-SWORD = [A-Za-z\u00AD]*[A-MO-Za-mo-z](\u00AD)*
-SREDAUX = n{APOSETCETERA}t
-/* Tokens you want but already okay: C'mon 'n' '[2-9]0s '[eE]m 'till?
-   [Yy]'all 'Cause Shi'ite B'Gosh o'clock.  Here now only need apostrophe
-   final words. */
-/* Note that Jflex doesn't support {2,} form.  Only {2,k}. */
-/* [yY]' is for Y'know, y'all and I for I.  So exclude from one letter first */
-/* Rest are for French borrowings.  n allows n'ts in "don'ts" */
-/* Arguably, c'mon should be split to "c'm" + "on", but not yet. */
-APOWORD = {APOS}n{APOS}?|[lLdDjJ]{APOS}|Dunkin{APOS}|somethin{APOS}|ol{APOS}|{APOS}em|[A-HJ-XZn]{APOSETCETERA}[:letter:]{2}[:letter:]*|{APOS}[2-9]0s|{APOS}till?|[:letter:][:letter:]*[aeiouyAEIOUY]{APOSETCETERA}[aeiouA-Z][:letter:]*|{APOS}cause|cont'd\.?|'twas|nor'easter|c'mon|e'er|s'mores|ev'ry|li'l|nat'l
-APOWORD2 = y{APOS}
-FULLURL = https?:\/\/[^ \t\n\f\r\"<>|()]+[^ \t\n\f\r\"<>|.!?(){},-]
-LIKELYURL = ((www\.([^ \t\n\f\r\"<>|.!?(){},]+\.)+[a-zA-Z]{2,4})|(([^ \t\n\f\r\"`'<>|.!?(){},-_$]+\.)+(com|net|org|edu)))(\/[^ \t\n\f\r\"<>|()]+[^ \t\n\f\r\"<>|.!?(){},-])?
-EMAIL = [a-zA-Z0-9][^ \t\n\f\r\"<>|()\u00A0]*@([^ \t\n\f\r\"<>|().\u00A0]+\.)+[a-zA-Z]{2,4}
-
-/* Abbreviations - induced from 1987 WSJ by hand */
-ABMONTH = Jan|Feb|Mar|Apr|Jun|Jul|Aug|Sep|Sept|Oct|Nov|Dec
-/* Jun and Jul barely occur, but don't seem dangerous */
-ABDAYS = Mon|Tue|Tues|Wed|Thu|Thurs|Fri
-/* Sat. and Sun. barely occur and can easily lead to errors, so we omit them */
-/* In caseless, |a\.m|p\.m handled as ACRO, and this is better as can often
-   be followed by capitalized. */
-/* Ma. or Me. isn't included as too many errors, and most sources use Mass. etc. */
-/* Fed. is tricky.  Usually sentence end, but not before "Governor" or "Natl. Mtg. Assn." */
-/* Make some states case sensitive, since they're also reasonably common words */
-ABSTATE = Ala|Ariz|[A]rk|Calif|Colo|Conn|Dak|Del|Fla|Ga|[I]ll|Ind|Kans?|Ky|La|[M]ass|Md|Mich|Minn|[M]iss|Mo|Mont|Neb|Nev|Okla|[O]re|Pa|Penn|Tenn|Tex|Va|Vt|[W]ash|Wisc?|Wyo
-/* In the caseless world S.p.A. "Società Per Azioni (Italian: shared company)" is got as a regular acronym */
-ACRO = [A-Za-z](\.[A-Za-z])+|(Canada|Sino|Korean|EU|Japan|non)-U\.S|U\.S\.-(U\.K|U\.S\.S\.R)
-ABTITLE = Mr|Mrs|Ms|[M]iss|Drs?|Profs?|Sens?|Reps?|Attys?|Lt|Col|Gen|Messrs|Govs?|Adm|Rev|Maj|Sgt|Cpl|Pvt|Mt|Capt|Ste?|Ave|Pres|Lieut|Hon|Brig|Co?mdr|Pfc|Spc|Supts?|Det
-ABPTIT = Jr|Sr|Bros|(Ed|Ph)\.D|Blvd|Rd|Esq
-/* Bhd is Malaysian companies! */
-ABCOMP = Inc|Cos?|Corp|Pp?tys?|Ltd|Plc|Bancorp|Dept|Bhd|Assn|Univ|Intl|Sys
-ABCOMP2 = Invt|Elec|Natl|M[ft]g
-/* Don't included fl. oz. since Oz turns up too much in caseless tokenizer. */
-ABNUM = Nos?|Prop|Ph|tel|est|ext|sq|ft
-/* p used to be in ABNUM list, but it can't be any more, since the lexer
-   is now caseless.  We don't want to have it recognized for P.  Both
-   p. and P. are now under ABBREV4. ABLIST also went away as no-op [a-e] */
-/* est. is "estimated" -- common in some financial contexts. ext. is extension */
-/* ABBREV1 abbreviations are normally followed by lower case words.  If
-   they're followed by an uppercase one, we assume there is also a
-   sentence boundary */
-ABBREV1 = ({ABMONTH}|{ABDAYS}|{ABSTATE}|{ABCOMP}|{ABNUM}|{ABPTIT}|etc|al|seq)\.
-
-
-/* ABRREV2 abbreviations are normally followed by an upper case word.  We
-   assume they aren't used sentence finally */
-/* ACRO Is a bad case -- can go either way! */
-ABBREV4 = [A-Za-z]|{ABTITLE}|vs|Alex|Wm|Jos|Cie|a\.k\.a|cf|TREAS|{ACRO}|{ABCOMP2}
-ABBREV2 = {ABBREV4}\.
-ACRONYM = ({ACRO})\.
-/* Cie. is used by French companies sometimes before and sometimes at end as in English Co.  But we treat as allowed to have Capital following without being sentence end.  Cia. is used in Spanish/South American company abbreviations, which come before the company name, but we exclude that and lose, because in a caseless segmenter, it's too confusable with CIA. */
-/* in the WSJ Alex. is generally an abbreviation for Alex. Brown, brokers! */
-/* Added Wm. for William and Jos. for Joseph */
-/* In tables: Mkt. for market Div. for division of company, Chg., Yr.: year */
-
-/* American phone numbers */
-PHONE = (\([0-9]{3}\)[ \u00A0]?|[0-9]{3}[\- \u00A0.])[0-9]{3}[\- \u00A0.][0-9]{4}
-/* Fake duck feet appear sometimes in WSJ, and aren't likely to be SGML, less than, etc., so group. */
-FAKEDUCKFEET = <<|>>
-OPBRAC = [<\[]|&lt;
-CLBRAC = [>\]]|&gt;
-HYPHEN = [-_\u058A\u2010\u2011]
-HYPHENS = \-+
-LDOTS = \.{3,5}|(\.[ \u00A0]){2,4}\.|[\u0085\u2026]
-ATS = @+
-UNDS = _+
-ASTS = \*+|(\\\*){1,3}
-HASHES = #+
-FNMARKS = {ATS}|{HASHES}|{UNDS}
-INSENTP = [,;:\u3001]
-QUOTES = {APOS}|''|[`\u2018\u2019\u201A\u201B\u201C\u201D\u0091\u0092\u0093\u0094\u201E\u201F\u2039\u203A\u00AB\u00BB]{1,2}
-DBLQUOT = \"|&quot;
-/* Cap'n for captain, c'est for french */
-TBSPEC = -(RRB|LRB|RCB|LCB|RSB|LSB)-|C\.D\.s|pro-|anti-|S(&|&amp;)P-500|S(&|&amp;)Ls|Cap{APOS}n|c{APOS}est
-TBSPEC2 = {APOS}[0-9][0-9]
-
-/* U+2200-U+2BFF has a lot of the various mathematical, etc. symbol ranges */
-MISCSYMBOL = [+%&~\^|\\¦\u00A7¨\u00A9\u00AC\u00AE¯\u00B0-\u00B3\u00B4-\u00BA\u00D7\u00F7\u0387\u05BE\u05C0\u05C3\u05C6\u05F3\u05F4\u0600-\u0603\u0606-\u060A\u060C\u0614\u061B\u061E\u066A\u066D\u0703-\u070D\u07F6\u07F7\u07F8\u0964\u0965\u0E4F\u1FBD\u2016\u2017\u2020-\u2023\u2030-\u2038\u203B\u203E-\u2042\u2044\u207A-\u207F\u208A-\u208E\u2100-\u214F\u2190-\u21FF\u2200-\u2BFF\u3012\u30FB\uFF01-\uFF0F\uFF1A-\uFF20\uFF3B-\uFF40\uFF5B-\uFF65\uFF65]
-/* \uFF65 is Halfwidth katakana middle dot; \u30FB is Katakana middle dot */
-/* Math and other symbols that stand alone: °²× ∀ */
-// Consider this list of bullet chars: 2219, 00b7, 2022, 2024
-
-
-%%
-
-cannot			{ yypushback(3) ; return getNext(); }
-{SGML}			{ final String origTxt = yytext();
-			  String txt = origTxt;
-       			  if (normalizeSpace) {
-			    txt = txt.replaceAll(" ", "\u00A0"); // change to non-breaking space
-			  }
-                          return getNext(txt, origTxt);
-                        }
-{SPMDASH}		{ if (ptb3Dashes) {
-                            return getNext(ptbmdash, yytext()); }
-                          else {
-                            return getNext();
-                          }
-                        }
-{SPAMP}			{ return getNormalizedAmpNext(); }
-{SPPUNC}		{ return getNext(); }
-{WORD}/{REDAUX}		{ final String origTxt = yytext();
-                          String tmp = removeSoftHyphens(origTxt);
-                          if (americanize) {
-                            tmp = Americanize.americanize(tmp);
-                          }
-                          return getNext(tmp, origTxt);
-                        }
-{SWORD}/{SREDAUX}	{ final String txt = yytext();
-                          return getNext(removeSoftHyphens(txt),
-                                         txt); }
-{WORD}			{ final String origTxt = yytext();
-			  String tmp = removeSoftHyphens(origTxt);
-                          if (americanize) {
-                            tmp = Americanize.americanize(tmp);
-                          }
-                          return getNext(tmp, origTxt);
-                        }
-{APOWORD}		{ return getNext(); }
-{APOWORD2}/[:letter:]	{ return getNext(); }
-{FULLURL}		{ String txt = yytext();
-                          if (escapeForwardSlashAsterisk) {
-                            txt = delimit(txt, '/');
-                            txt = delimit(txt, '*');
-                          }
-                          return getNext(txt, yytext()); }
-{LIKELYURL}		{ String txt = yytext();
-                          if (escapeForwardSlashAsterisk) {
-                            txt = delimit(txt, '/');
-                            txt = delimit(txt, '*');
-                          }
-                          return getNext(txt, yytext()); }
-{EMAIL}			{ return getNext(); }
-{REDAUX}/[^A-Za-z]	{ return handleQuotes(yytext(), false);
-                        }
-{SREDAUX}		{ return handleQuotes(yytext(), false);
-                        }
-{DATE}			{ String txt = yytext();
-                          if (escapeForwardSlashAsterisk) {
-                            txt = delimit(txt, '/');
-                          }
-                          return getNext(txt, yytext());
-                         }
-{NUMBER}		{ return getNext(removeSoftHyphens(yytext()),
-                                         yytext()); }
-{SUBSUPNUM}		{ return getNext(); }
-<YyTraditionalTreebank3>{FRAC} { String txt = yytext();
-                  if (escapeForwardSlashAsterisk) {
-                    txt = delimit(txt, '/');
-                  }
-                  if (normalizeSpace) {
-                    txt = txt.replaceAll(" ", "\u00A0"); // change to non-breaking space
-                  }
-                  return getNext(txt, yytext());
-                }
-<YyStrictlyTreebank3>{FRACSTB3} { String txt = yytext();
-                  if (escapeForwardSlashAsterisk) {
-                    txt = delimit(txt, '/');
-                  }
-                  if (normalizeSpace) {
-                    txt = txt.replaceAll(" ", "\u00A0"); // change to non-breaking space
-                  }
-                  return getNext(txt, yytext());
-                }
-{FRAC2}			{ return normalizeFractions(yytext()); }
-{TBSPEC}		{ return getNormalizedAmpNext(); }
-{THING3}		{ if (escapeForwardSlashAsterisk) {
-                            return getNext(delimit(yytext(), '/'), yytext());
-                          } else {
-                            return getNext();
-                          }
-                        }
-{DOLSIGN}		{ return getNext(); }
-{DOLSIGN2}		{ if (normalizeCurrency) {
-                            return getNext(normalizeCurrency(yytext()), yytext()); }
-                          else {
-                            return getNext();
-                          }
-                        }
-/* Any acronym can be treated as sentence final iff followed by this list of words (pronouns, determiners, and prepositions, etc.). "U.S." is the single big source of errors.  Character classes make this rule case sensitive! (This is needed!!) */
-{ACRONYM}/({SPACES})([A]bout|[A]ccording|[A]dditionally|[A]fter|[A]n|[A]|[A]s|[A]t|[B]ut|[E]arlier|[H]e|[H]er|[H]ere|[H]owever|[I]f|[I]n|[I]t|[L]ast|[M]any|[M]ore|[M]r\.|[M]s\.|[N]ow|[O]nce|[O]ne|[O]ther|[O]ur|[S]he|[S]ince|[S]o|[S]ome|[S]uch|[T]hat|[T]he|[T]hen|[T]here|[T]hese|[T]hey|[T]his|[W]e|[W]hen|[W]hile|[W]hat|[Y]et|[Y]ou){SPACE} {
-                          String s;
-                          // try to fight around an apparent jflex bug where it gets a space at the token
-                          // end by getting wrong the length of the trailing context.
-                          while (yylength() > 0) {
-			    char last = yycharat(yylength()-1);
-			    if (last == ' ' || last == '\t') {
-                              yypushback(1);
-                            } else {
-                              break;
-                            }
-                          }
-                          if (strictTreebank3) {
-                            yypushback(1); // return a period for next time
-                            s = yytext();
-                          } else {
-                            s = yytext();
-                            yypushback(1); // return a period for next time
-                          }
-                          return getNext(s, yytext());
-                        }
-{ABBREV1}/{SENTEND}	{
-                          String s;
-                          if (strictTreebank3) {
-                            yypushback(1); // return a period for next time
-                            s = yytext();
-                          } else {
-                            s = yytext();
-                            yypushback(1); // return a period for next time
-                          }
-	                  return getNext(s, yytext()); }
-{ABBREV1}		{ return getNext(); }
-{ABBREV2}		{ return getNext(); }
-{ABBREV4}/{SPACE}	{ return getNext(); }
-{ACRO}/{SPACENL}	{ return getNext(); }
-{TBSPEC2}/{SPACENL}	{ return getNext(); }
-{WORD}\./{INSENTP}	{ return getNext(removeSoftHyphens(yytext()),
-                                         yytext()); }
-{PHONE}			{ String txt = yytext();
-			  if (normalizeSpace) {
-			    txt = txt.replaceAll(" ", "\u00A0"); // change to non-breaking space
-			  }
-			  if (normalizeParentheses) {
-			    txt = txt.replaceAll("\\(", openparen);
-			    txt = txt.replaceAll("\\)", closeparen);
-			  }
-			  return getNext(txt, yytext());
-			}
-{DBLQUOT}/[A-Za-z0-9$]	{ return handleQuotes(yytext(), true); }
-{DBLQUOT}		{ return handleQuotes(yytext(), false); }
-0x7f		{ if (invertible) {
-                     prevWordAfter.append(yytext());
-                  } }
-{OPBRAC}	{ if (normalizeOtherBrackets) {
-                    return getNext(openparen, yytext()); }
-                  else {
-                    return getNext();
-                  }
-                }
-{CLBRAC}	{ if (normalizeOtherBrackets) {
-                    return getNext(closeparen, yytext()); }
-                  else {
-                    return getNext();
-                  }
-                }
-\{		{ if (normalizeOtherBrackets) {
-                    return getNext(openbrace, yytext()); }
-                  else {
-                    return getNext();
-                  }
-                }
-\}		{ if (normalizeOtherBrackets) {
-                    return getNext(closebrace, yytext()); }
-                  else {
-                    return getNext();
-                  }
-                }
-\(		{ if (normalizeParentheses) {
-                    return getNext(openparen, yytext()); }
-                  else {
-                    return getNext();
-                  }
-                }
-\)		{ if (normalizeParentheses) {
-                    return getNext(closeparen, yytext()); }
-                  else {
-                    return getNext();
-                  }
-                }
-{HYPHENS}	{ if (yylength() >= 3 && yylength() <= 4 && ptb3Dashes) {
-	            return getNext(ptbmdash, yytext());
-                  } else {
-                    return getNext();
-		  }
-		}
-{LDOTS}		{ return handleEllipsis(yytext()); }
-{FNMARKS}	{ return getNext(); }
-{ASTS}		{ if (escapeForwardSlashAsterisk) {
-                    return getNext(delimit(yytext(), '*'), yytext()); }
-                  else {
-                    return getNext();
-                  }
-                }
-{INSENTP}	{ return getNext(); }
-[?!]+           { return getNext(); }
-[.¡¿\u037E\u0589\u061F\u06D4\u0700-\u0702\u07FA\u3002]	{ return getNext(); }
-=		{ return getNext(); }
-\/		{ if (escapeForwardSlashAsterisk) {
-                    return getNext(delimit(yytext(), '/'), yytext()); }
-                  else {
-                    return getNext();
-                  }
-                }
-/* {HTHING}/[^a-zA-Z0-9.+]    { return getNext(removeSoftHyphens(yytext()),
-                                               yytext()); } */
-{HTHING}\./{INSENTP}          { return getNext(removeSoftHyphens(yytext()),
-                                               yytext()); }
-{HTHING}        { return getNext(removeSoftHyphens(yytext()), yytext()); }
-{THING}\./{INSENTP}          { return getNext(); }
-{THING}		{ return getNext(); }
-{THINGA}\./{INSENTP}	{ return getNormalizedAmpNext(); }
-{THINGA}	{ return getNormalizedAmpNext(); }
-'/[A-Za-z][^ \t\n\r\u00A0] { /* invert quote - often but not always right */
-		  return handleQuotes(yytext(), true);
-                }
-{REDAUX}	{ return handleQuotes(yytext(), false); }
-{QUOTES}	{ return handleQuotes(yytext(), false); }
-{FAKEDUCKFEET}  { return getNext(); }
-{MISCSYMBOL}	{ return getNext(); }
-\0|{SPACES}|[\u200B\u200E-\u200F\uFEFF]	{ if (invertible) {
-                     prevWordAfter.append(yytext());
-                  }
-                }
-{NEWLINE}	{ if (tokenizeNLs) {
-                      return getNext(NEWLINE_TOKEN, yytext()); // js: for tokenizing carriage returns
-                  } else if (invertible) {
-                      prevWordAfter.append(yytext());
-                  }
-                }
-&nbsp;		{ if (invertible) {
-                     prevWordAfter.append(yytext());
-                  }
-                }
-.       { String str = yytext();
-          int first = str.charAt(0);
-          String msg = String.format("Untokenizable: %s (U+%s, decimal: %s)", yytext(), Integer.toHexString(first).toUpperCase(), Integer.toString(first));
-          switch (untokenizable) {
-            case NONE_DELETE:
-              if (invertible) {
-                prevWordAfter.append(str);
-              }
-              break;
-            case FIRST_DELETE:
-              if (invertible) {
-                prevWordAfter.append(str);
-              }
-              if ( ! this.seenUntokenizableCharacter) {
-                LOGGER.warning(msg);
-                this.seenUntokenizableCharacter = true;
-              }
-              break;
-            case ALL_DELETE:
-              if (invertible) {
-                prevWordAfter.append(str);
-              }
-              LOGGER.warning(msg);
-              this.seenUntokenizableCharacter = true;
-              break;
-            case NONE_KEEP:
-              return getNext();
-            case FIRST_KEEP:
-              if ( ! this.seenUntokenizableCharacter) {
-                LOGGER.warning(msg);
-                this.seenUntokenizableCharacter = true;
-              }
-              return getNext();
-            case ALL_KEEP:
-              LOGGER.warning(msg);
-              this.seenUntokenizableCharacter = true;
-              return getNext();
-          }
-        }
-<<EOF>> { if (invertible) { 
-            prevWordAfter.append(yytext()); 
-            String str = prevWordAfter.toString();
-            prevWordAfter.setLength(0);
-            prevWord.set(AfterAnnotation.class, str);
-          }
-          return null;
-        }
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/PTBLexer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/PTBLexer.java
deleted file mode 100644
index c8e3bab..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/PTBLexer.java
+++ /dev/null
@@ -1,11251 +0,0 @@
-/* The following code was generated by JFlex 1.4.3 on 9/7/11 7:54 PM */
-
-package edu.stanford.nlp.process;
-
-// Stanford English Tokenizer -- a deterministic, fast high-quality tokenizer
-// Copyright (c) 2002-2009 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    java-nlp-support@lists.stanford.edu
-//    http://nlp.stanford.edu/software/
-
-
-import java.io.Reader;
-import java.util.logging.Logger;
-import java.util.Map;
-import java.util.Map.Entry;
-import java.util.Properties;
-import java.util.Set;
-
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.OriginalTextAnnotation;
-import edu.stanford.nlp.util.StringUtils;
-
-
-/** Provides a tokenizer or lexer that does a pretty good job at
- *  deterministically tokenizing English according to Penn Treebank conventions.
- *  The class is a scanner generated by
- *  <a href="http://www.jflex.de/">JFlex</a> (1.4.3) from the specification
- *  file
- *  <code>PTBLexer.flex</code>.  As well as copying what is in the Treebank,
- *  it now contains some extensions to deal with modern text and encoding
- *  issues, such as recognizing URLs and common Unicode characters, and a
- *  variety of options for doing or suppressing certain normalizations.
- *  Although they shouldn't really be there, it also interprets certain of the
- *  characters between U+0080 and U+009F as Windows CP1252 characters.
- *  <p>
- *  <i>Fine points:</i> Output normalized tokens should not contain spaces,
- *  providing the normalizeSpace option is true.  The space will be turned
- *  into a non-breaking space (U+00A0). Otherwise, they can appear in
- *  a couple of token classes (phone numbers, fractions).
- *  The original
- *  PTB tokenization (messy) standard also escapes certain other characters,
- *  such as * and /, and normalizes things like " to `` or ''.  By default,
- *  this tokenizer does all of those things.  However, you can turn them
- *  off by using the ptb3Escaping=false option, or, parts of it on or off,
- *  or unicode
- *  character alternatives on with different options.  You can also build an
- *  invertible tokenizer, with which you can still access the original
- *  character sequence and the non-token whitespace around it in a CoreLabel.
- *  And you can ask for newlines to be tokenized.
- *  <p>
- *  <i>Character entities:</i> For legacy reasons, this file will parse and
- *  interpret some simply SGML/XML/HTML character entities.  For modern formats
- *  like XML, you are better off doing XML parsing, and then running the
- *  tokenizer on CDATA elements.  But we and others frequently work with simple
- *  SGML text corpora that are not XML (like LDC text collections).  In practice,
- *  they only include very simple markup and a few simple entities, and the
- *  combination of the -parseInside option and the minimal character entity
- *  support in this file is enough to handle them. So we leave this functionality
- *  in, even though it could conceivably mess with a correct XML file if the
- *  output of decoding had things that look like character entities.  In general,
- *  handled symbols are changed to ASCII/Unicode forms, but handled accented
- *  letters are just left as character entities in words.
- *  <p>
- *  <i>Character support:</i>  PTBLexer works works for a large subset of
- *  Unicode Base Multilingual Plane characters (only).  It recognizes all
- *  characters that match the JFlex/Java [:letter:] and [:digit] character
- *  class (but, unfortunately, JFlex does not support most
- *  other Unicode character classes available in Java regular expressions).
- *  It also matches all defined characters in the Unicode ranges U+0000-U+07FF
- *  excluding control characters except the ones very standardly found in
- *  plain text documents. Finally select other characters commonly found in
- *  English unicode text are included.
- *  <p>
- *  <i>Implementation note:</i> The scanner is caseless, but note, if adding
- *  or changing regexps, that caseless does not expand inside character
- *  classes.  From the manual: "The %caseless option does not change the
- *  matched text and does not effect character classes. So [a] still only
- *  matches the character a and not A, too."  Note that some character
- *  classes still deliberately don't have both cases, so the scanner's
- *  operation isn't completely case-independent, though it mostly is.
- *  <p>
- *  <i>Implementation note:</i> This Java class is automatically generated
- *  from PTBLexer.flex using jflex.  DO NOT EDIT THE JAVA SOURCE.  This file
- *  has now been updated for JFlex 1.4.2+.  (This required code changes: this
- *  version only works right with JFlex 1.4.2+; the previous version only works
- *  right with JFlex 1.4.1.)
- *
- *  @author Tim Grow
- *  @author Christopher Manning
- *  @author Jenny Finkel
- */
-
-
-class PTBLexer {
-
-  /** This character denotes the end of file */
-  public static final int YYEOF = -1;
-
-  /** initial size of the lookahead buffer */
-  private static final int ZZ_BUFFERSIZE = 16384;
-
-  /** lexical states */
-  public static final int YyTraditionalTreebank3 = 4;
-  public static final int YyStrictlyTreebank3 = 2;
-  public static final int YYINITIAL = 0;
-
-  /**
-   * ZZ_LEXSTATE[l] is the state in the DFA for the lexical state l
-   * ZZ_LEXSTATE[l+1] is the state in the DFA for the lexical state l
-   *                  at the beginning of a line
-   * l is of the form l = 2*k, k a non negative integer
-   */
-  private static final int ZZ_LEXSTATE[] = { 
-     0,  0,  1,  1,  2, 2
-  };
-
-  /** 
-   * Translates characters to character classes
-   */
-  private static final String ZZ_CMAP_PACKED = 
-    "\1\162\10\0\1\130\1\4\1\37\1\40\1\36\22\0\1\131\1\3"+
-    "\1\155\1\27\1\101\1\157\1\6\1\123\1\143\1\144\1\152\1\71"+
-    "\1\111\1\67\1\112\1\2\1\121\1\30\3\120\1\156\1\120\1\160"+
-    "\2\120\1\126\1\15\1\1\1\157\1\5\1\3\1\134\1\45\1\140"+
-    "\1\57\1\44\1\62\1\136\1\63\1\47\1\61\1\113\1\115\1\53"+
-    "\1\43\1\50\1\60\1\51\1\56\1\55\1\46\1\52\1\54\1\64"+
-    "\1\125\1\117\1\42\1\142\1\145\1\76\1\146\1\157\1\151\1\133"+
-    "\1\11\1\137\1\25\1\10\1\32\1\135\1\33\1\13\1\31\1\114"+
-    "\1\116\1\21\1\7\1\14\1\26\1\17\1\24\1\23\1\12\1\20"+
-    "\1\22\1\34\1\124\1\104\1\122\1\141\1\161\1\127\1\132\1\157"+
-    "\1\0\1\102\4\0\1\41\13\0\1\110\1\107\2\154\1\0\2\16"+
-    "\10\0\1\75\1\157\4\102\4\157\1\103\1\154\1\157\1\106\4\157"+
-    "\2\73\1\157\1\103\3\157\1\73\1\103\1\154\3\100\1\157\27\103"+
-    "\1\157\37\103\1\157\u013f\103\31\105\162\103\4\105\14\103\16\105\5\103"+
-    "\11\105\1\103\213\105\1\103\3\105\1\157\5\0\2\105\1\103\1\157"+
-    "\3\103\1\0\1\103\1\0\24\103\1\0\54\103\1\105\46\103\1\105"+
-    "\5\103\4\105\202\103\1\0\5\105\2\0\105\103\1\105\46\103\2\105"+
-    "\2\103\6\105\20\103\26\105\13\0\46\103\2\0\1\103\6\105\1\0"+
-    "\47\103\1\0\1\157\1\147\6\0\55\105\1\157\1\105\1\157\2\105"+
-    "\1\157\2\105\1\157\1\105\10\0\33\103\5\0\3\103\2\157\13\0"+
-    "\4\157\2\0\5\157\1\102\1\157\7\0\1\157\6\105\1\157\2\0"+
-    "\1\157\1\157\1\0\32\103\5\105\13\103\24\105\1\0\12\65\1\157"+
-    "\2\70\1\157\2\103\1\105\143\103\1\157\1\103\17\105\2\103\7\105"+
-    "\2\103\12\65\3\103\2\105\1\103\3\157\13\157\1\0\1\105\1\103"+
-    "\1\105\36\103\35\105\3\103\60\105\46\103\13\105\1\103\16\0\12\66"+
-    "\54\105\3\157\1\0\1\105\u0105\0\4\105\66\103\2\0\1\105\1\103"+
-    "\21\105\1\0\1\103\5\105\2\0\12\103\2\105\2\157\12\65\21\0"+
-    "\3\105\1\0\10\103\2\0\2\103\2\0\26\103\1\0\7\103\1\0"+
-    "\1\103\3\0\4\103\2\0\1\105\1\103\7\105\2\0\2\105\2\0"+
-    "\3\105\11\0\1\105\4\0\2\103\1\0\3\103\2\105\2\0\12\65"+
-    "\2\103\17\0\3\105\1\0\6\103\4\0\2\103\2\0\26\103\1\0"+
-    "\7\103\1\0\2\103\1\0\2\103\1\0\2\103\2\0\1\105\1\0"+
-    "\22\105\11\0\4\103\1\0\1\103\7\0\12\65\2\0\3\103\14\0"+
-    "\3\105\1\0\11\103\1\0\3\103\1\0\26\103\1\0\7\103\1\0"+
-    "\2\103\1\0\5\103\2\0\1\105\1\103\22\105\1\103\17\0\2\103"+
-    "\4\0\12\65\25\0\10\103\2\0\2\103\2\0\26\103\1\0\7\103"+
-    "\1\0\2\103\1\0\5\103\3\0\1\103\36\0\2\103\1\0\3\103"+
-    "\4\0\12\65\1\0\1\103\20\0\1\105\1\103\1\0\6\103\3\0"+
-    "\3\103\1\0\4\103\3\0\2\103\1\0\1\103\1\0\2\103\3\0"+
-    "\2\103\3\0\3\103\3\0\10\103\1\0\3\103\4\0\5\105\3\0"+
-    "\3\105\1\0\4\105\31\0\11\65\21\0\3\105\1\0\10\103\1\0"+
-    "\3\103\1\0\27\103\1\0\12\103\1\0\5\103\4\0\31\105\11\0"+
-    "\2\103\4\0\12\65\25\0\10\103\1\0\3\103\1\0\27\103\1\0"+
-    "\12\103\1\0\5\103\3\0\1\103\40\0\1\103\1\0\2\103\4\0"+
-    "\12\65\25\0\10\103\1\0\3\103\1\0\27\103\1\0\20\103\4\0"+
-    "\7\105\1\0\3\105\27\0\2\103\4\0\12\65\25\0\22\103\3\0"+
-    "\30\103\1\0\11\103\1\0\1\103\2\0\7\103\72\0\57\103\1\103"+
-    "\1\105\2\103\7\105\4\0\1\102\7\103\10\105\1\157\12\65\47\0"+
-    "\2\103\1\0\1\103\2\0\2\103\1\0\1\103\2\0\1\103\6\0"+
-    "\4\103\1\0\7\103\1\0\3\103\1\0\1\103\1\0\1\103\2\0"+
-    "\2\103\1\0\4\103\1\105\2\103\11\105\1\103\2\0\5\103\1\0"+
-    "\1\103\1\0\6\105\2\0\12\65\2\0\2\103\42\0\1\103\37\0"+
-    "\12\65\26\0\10\103\1\0\42\103\35\0\4\103\164\0\42\103\1\0"+
-    "\5\103\1\0\2\103\25\0\12\65\6\0\6\103\112\0\46\103\12\0"+
-    "\51\103\7\0\132\103\5\0\104\103\5\0\122\103\6\0\7\103\1\0"+
-    "\77\103\1\0\1\103\1\0\4\103\2\0\7\103\1\0\1\103\1\0"+
-    "\4\103\2\0\47\103\1\0\1\103\1\0\4\103\2\0\37\103\1\0"+
-    "\1\103\1\0\4\103\2\0\7\103\1\0\1\103\1\0\4\103\2\0"+
-    "\7\103\1\0\7\103\1\0\27\103\1\0\37\103\1\0\1\103\1\0"+
-    "\4\103\2\0\7\103\1\0\47\103\1\0\23\103\16\0\11\65\56\0"+
-    "\125\103\14\0\u026c\103\2\0\10\103\12\0\32\103\5\0\113\103\25\0"+
-    "\15\103\1\0\4\103\16\0\22\103\16\0\22\103\16\0\15\103\1\0"+
-    "\3\103\17\0\64\103\43\0\1\103\4\0\1\103\3\0\12\65\46\0"+
-    "\12\65\6\0\130\103\10\0\51\103\127\0\35\103\51\0\12\65\36\103"+
-    "\2\0\5\103\u038b\0\154\103\224\0\234\103\4\0\132\103\6\0\26\103"+
-    "\2\0\6\103\2\0\46\103\2\0\6\103\2\0\10\103\1\0\1\103"+
-    "\1\0\1\103\1\0\1\103\1\0\37\103\2\0\65\103\1\0\7\103"+
-    "\1\157\1\103\3\0\3\103\1\0\7\103\3\0\4\103\2\0\6\103"+
-    "\4\0\15\103\5\0\3\103\1\0\7\103\3\0\13\35\1\162\2\0"+
-    "\2\162\2\147\1\0\3\16\2\157\1\110\1\107\1\154\1\110\4\154"+
-    "\4\157\2\0\1\150\1\0\1\37\1\37\6\0\11\157\2\154\1\157"+
-    "\2\0\5\157\1\0\1\77\53\0\1\73\1\103\2\0\6\73\2\72"+
-    "\3\157\1\103\12\74\2\72\3\157\21\0\1\102\3\0\1\102\7\0"+
-    "\1\102\123\0\2\157\1\103\4\157\1\103\2\157\12\103\1\157\1\103"+
-    "\3\157\5\103\6\157\1\103\1\157\1\103\1\157\1\103\1\157\4\103"+
-    "\1\157\3\103\1\157\7\103\3\157\3\103\5\157\5\103\6\157\3\0"+
-    "\14\100\61\0\u0a70\157\u0400\0\1\35\1\153\1\157\2\0\2\103\13\0"+
-    "\1\157\36\0\5\103\5\0\2\103\4\0\126\103\6\0\3\103\1\0"+
-    "\132\103\1\157\4\103\5\0\50\103\4\0\136\103\21\0\30\103\70\0"+
-    "\20\103\u0200\0\u19b6\103\112\0\u51a6\103\132\0\u048d\103\u0773\0\u2ba4\103\u215c\0"+
-    "\u012e\103\2\0\73\103\225\0\7\103\14\0\5\103\5\0\1\103\1\0"+
-    "\12\103\1\0\15\103\1\0\5\103\1\0\1\103\1\0\2\103\1\0"+
-    "\2\103\1\0\154\103\41\0\u016b\103\22\0\100\103\2\0\66\103\50\0"+
-    "\14\103\164\0\5\103\1\0\207\103\2\0\1\162\1\0\17\157\12\65"+
-    "\7\157\32\103\6\157\32\103\13\157\131\103\3\0\6\103\2\0\6\103"+
-    "\2\0\6\103\2\0\3\103\3\0\2\102\3\0\2\102\31\0";
-
-  /** 
-   * Translates characters to character classes
-   */
-  private static final char [] ZZ_CMAP = zzUnpackCMap(ZZ_CMAP_PACKED);
-
-  /** 
-   * Translates DFA states to action switch labels.
-   */
-  private static final int [] ZZ_ACTION = zzUnpackAction();
-
-  private static final String ZZ_ACTION_PACKED_0 =
-    "\16\0\1\1\1\2\1\3\1\4\1\5\1\6\1\4"+
-    "\6\7\1\4\1\10\10\7\1\4\1\11\4\7\1\12"+
-    "\2\5\1\13\23\7\2\11\1\14\1\1\6\4\1\15"+
-    "\1\16\3\7\2\17\2\4\4\7\1\11\1\7\1\17"+
-    "\2\7\1\12\1\20\1\17\1\4\4\7\1\21\1\22"+
-    "\1\2\1\6\1\4\1\23\1\17\1\24\1\12\10\11"+
-    "\115\0\11\7\1\4\2\7\1\25\1\4\1\0\1\25"+
-    "\1\0\3\7\2\0\1\4\1\0\1\25\1\0\1\7"+
-    "\2\0\3\7\1\4\1\0\1\4\11\7\1\0\10\7"+
-    "\1\0\2\7\1\0\5\7\3\0\16\7\1\4\1\7"+
-    "\1\0\5\7\1\0\1\4\2\0\2\7\1\0\1\7"+
-    "\2\0\3\11\3\0\1\4\4\0\6\7\1\0\1\7"+
-    "\1\0\3\7\1\0\1\4\3\0\11\7\4\0\15\7"+
-    "\1\0\12\7\1\0\30\7\1\0\5\7\1\0\11\7"+
-    "\1\0\1\4\3\11\5\0\1\11\2\0\1\11\1\14"+
-    "\1\11\1\23\1\0\1\7\1\4\4\0\2\7\1\17"+
-    "\1\4\6\0\1\17\1\0\1\17\3\0\6\7\2\4"+
-    "\1\0\2\4\4\7\1\4\1\0\1\17\1\0\1\4"+
-    "\5\0\30\7\1\0\1\26\1\0\3\11\4\0\3\11"+
-    "\3\0\1\11\1\0\3\11\1\0\3\11\1\0\1\11"+
-    "\131\0\1\27\17\0\1\30\3\0\1\4\4\0\1\4"+
-    "\4\0\1\7\1\0\3\7\1\0\4\31\1\7\1\0"+
-    "\1\7\1\0\1\32\4\0\1\33\4\0\2\33\1\32"+
-    "\4\0\1\4\1\0\1\7\1\32\4\0\1\32\2\0"+
-    "\6\7\3\0\5\7\1\32\2\7\1\0\3\7\1\32"+
-    "\1\0\1\17\2\0\1\32\1\0\1\17\2\0\1\4"+
-    "\5\7\1\0\1\7\2\0\7\7\2\0\1\32\2\0"+
-    "\1\30\1\0\3\11\3\0\1\31\1\4\1\0\1\11"+
-    "\2\25\1\4\1\0\1\7\4\0\3\34\2\0\4\25"+
-    "\1\0\1\34\10\7\1\0\1\34\7\7\1\0\3\34"+
-    "\7\7\1\0\1\34\20\7\1\0\1\34\2\0\1\34"+
-    "\1\7\2\0\1\11\1\0\1\11\3\4\10\0\1\32"+
-    "\2\0\2\33\1\32\2\0\1\7\3\35\6\0\1\13"+
-    "\1\0\1\34\4\7\1\0\4\7\1\4\1\0\6\36"+
-    "\10\7\1\0\2\37\3\11\4\0\1\31\1\4\2\0"+
-    "\2\37\2\11\2\0\2\11\1\4\1\0\2\37\3\11"+
-    "\1\0\4\11\76\0\1\10\6\0\1\2\1\0\1\6"+
-    "\24\0\6\4\1\0\2\40\2\7\1\31\6\0\1\31"+
-    "\3\41\1\4\11\0\1\7\2\32\2\7\2\0\1\34"+
-    "\1\7\1\0\1\7\4\0\1\34\1\7\2\4\1\0"+
-    "\2\7\3\0\2\7\1\0\1\4\4\0\1\30\3\0"+
-    "\1\11\3\0\1\31\1\4\2\0\1\31\5\0\5\34"+
-    "\1\0\1\34\1\0\1\34\1\0\1\34\4\7\1\34"+
-    "\3\7\1\0\1\34\2\7\1\34\3\7\1\0\2\7"+
-    "\1\34\1\0\2\34\4\0\1\4\4\0\1\23\2\0"+
-    "\1\4\1\32\3\4\1\32\2\4\5\0\1\4\1\0"+
-    "\2\42\1\0\1\13\1\0\1\34\2\7\1\0\2\7"+
-    "\1\12\1\0\1\4\3\0\2\7\1\0\2\37\3\11"+
-    "\4\0\1\31\1\4\1\0\3\37\2\11\1\0\2\11"+
-    "\1\0\1\4\1\0\2\37\3\11\2\0\4\11\37\0"+
-    "\1\43\1\0\1\34\12\0\2\30\5\0\5\44\2\0"+
-    "\1\7\2\31\1\0\1\45\1\0\2\31\3\0\1\43"+
-    "\10\0\1\7\2\0\1\7\1\0\1\7\3\0\1\4"+
-    "\2\0\2\7\1\0\1\34\1\0\1\34\1\0\1\30"+
-    "\1\0\1\31\1\0\1\11\1\31\1\4\4\0\1\34"+
-    "\2\46\7\34\1\0\1\34\1\7\1\34\1\7\1\0"+
-    "\1\34\2\7\1\34\2\7\1\0\4\34\3\0\1\4"+
-    "\6\0\2\40\2\0\2\13\1\0\1\34\6\0\1\33"+
-    "\6\0\2\7\1\0\2\37\1\0\1\31\1\4\1\0"+
-    "\1\37\1\31\1\4\1\0\2\37\1\4\1\37\1\4"+
-    "\1\0\1\37\30\0\1\17\1\7\1\12\1\43\12\0"+
-    "\2\31\50\0\6\4\2\0\1\7\6\0\1\31\1\0"+
-    "\1\47\1\0\1\32\1\0\2\50\1\31\1\0\1\11"+
-    "\2\50\3\0\6\34\1\0\2\34\1\7\1\0\1\34"+
-    "\1\47\4\34\1\50\1\0\1\50\1\0\1\23\6\0"+
-    "\1\34\10\0\2\31\2\0\2\37\2\31\1\4\1\0"+
-    "\1\31\1\4\1\0\1\37\2\4\1\0\1\37\14\0"+
-    "\1\17\1\4\7\0\2\30\1\0\1\7\13\0\3\51"+
-    "\100\0\1\4\1\43\1\4\2\0\2\4\6\0\2\50"+
-    "\1\31\1\0\1\11\2\50\1\41\1\4\4\34\1\0"+
-    "\4\34\1\50\1\0\1\50\3\0\1\13\3\0\1\43"+
-    "\4\0\2\31\7\0\1\43\62\0\2\4\5\0\2\50"+
-    "\4\0\2\50\4\0\2\34\1\50\1\0\1\50\3\0"+
-    "\2\43\1\0\1\45\1\43\11\0\1\30\17\0\2\31"+
-    "\2\0\1\31\16\0\2\34\2\43\1\31\2\43\23\0"+
-    "\1\31\2\0\1\31\10\0\1\51\21\0\2\34\3\43"+
-    "\22\0\2\31\2\0\1\31\16\0\2\34\1\43\15\0"+
-    "\4\52\33\0";
-
-  private static int [] zzUnpackAction() {
-    int [] result = new int[1981];
-    int offset = 0;
-    offset = zzUnpackAction(ZZ_ACTION_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackAction(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-
-  /** 
-   * Translates a state to a row index in the transition table
-   */
-  private static final int [] ZZ_ROWMAP = zzUnpackRowMap();
-
-  private static final String ZZ_ROWMAP_PACKED_0 =
-    "\0\0\0\163\0\346\0\u0159\0\u01cc\0\u023f\0\u02b2\0\u0325"+
-    "\0\u0398\0\u040b\0\u047e\0\u04f1\0\u0564\0\u05d7\0\u064a\0\u06bd"+
-    "\0\u0730\0\u07a3\0\u0730\0\u0816\0\u0889\0\u08fc\0\u096f\0\u09e2"+
-    "\0\u0a55\0\u0ac8\0\u0b3b\0\u0730\0\u064a\0\u0bae\0\u0c21\0\u0c94"+
-    "\0\u0d07\0\u0d7a\0\u0ded\0\u0e60\0\u0ed3\0\u0f46\0\u0fb9\0\u102c"+
-    "\0\u109f\0\u1112\0\u1185\0\u11f8\0\u126b\0\u064a\0\u064a\0\u12de"+
-    "\0\u1351\0\u13c4\0\u1437\0\u14aa\0\u151d\0\u1590\0\u1603\0\u1676"+
-    "\0\u16e9\0\u175c\0\u17cf\0\u1842\0\u18b5\0\u1928\0\u199b\0\u1a0e"+
-    "\0\u1a81\0\u1af4\0\u1b67\0\u1bda\0\u1c4d\0\u1cc0\0\u1d33\0\u1da6"+
-    "\0\u1e19\0\u1e8c\0\u1eff\0\u064a\0\u064a\0\u064a\0\u1f72\0\u1fe5"+
-    "\0\u2058\0\u20cb\0\u213e\0\u21b1\0\u2224\0\u2297\0\u230a\0\u237d"+
-    "\0\u23f0\0\u2463\0\u24d6\0\u2549\0\u25bc\0\u262f\0\u26a2\0\u0730"+
-    "\0\u2715\0\u2788\0\u27fb\0\u286e\0\u28e1\0\u2954\0\u29c7\0\u0730"+
-    "\0\u064a\0\u064a\0\u2a3a\0\u2aad\0\u2b20\0\u0730\0\u064a\0\u2b93"+
-    "\0\u2c06\0\u2c79\0\u2cec\0\u2d5f\0\u2dd2\0\u2e45\0\u2eb8\0\u2f2b"+
-    "\0\u0159\0\u2f9e\0\u3011\0\u3084\0\u30f7\0\u316a\0\u31dd\0\u3250"+
-    "\0\u32c3\0\u3336\0\u33a9\0\u341c\0\u348f\0\u3502\0\u3575\0\u35e8"+
-    "\0\u365b\0\u36ce\0\u3741\0\u37b4\0\u3827\0\u389a\0\u390d\0\u3980"+
-    "\0\u39f3\0\u3a66\0\u3ad9\0\u3b4c\0\u3bbf\0\u3c32\0\u3ca5\0\u3d18"+
-    "\0\u3d8b\0\u3dfe\0\u3e71\0\u3ee4\0\u3f57\0\u3fca\0\u403d\0\u40b0"+
-    "\0\u4123\0\u4196\0\u4209\0\u427c\0\u42ef\0\u4362\0\u43d5\0\u4448"+
-    "\0\u44bb\0\u452e\0\u45a1\0\u4614\0\u0730\0\u4687\0\u46fa\0\u064a"+
-    "\0\u476d\0\u47e0\0\u4853\0\u48c6\0\u4939\0\u49ac\0\u4a1f\0\u4a92"+
-    "\0\u4b05\0\u4b78\0\u4beb\0\u4c5e\0\u4cd1\0\u4d44\0\u4db7\0\u4e2a"+
-    "\0\u4e9d\0\u4f10\0\u4f83\0\u4ff6\0\u5069\0\u50dc\0\u514f\0\u51c2"+
-    "\0\u5235\0\u52a8\0\u531b\0\u538e\0\u5401\0\u5474\0\u54e7\0\u555a"+
-    "\0\u4e9d\0\u55cd\0\u5640\0\u064a\0\u56b3\0\u5726\0\u5799\0\u580c"+
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-    "\2\u3b68\2\u3bdb\2\u3c4e\2\u3cc1\2\u3d34\2\u2ac9\2\u3da7\2\u3e1a"+
-    "\2\u3e8d\2\u3f00\2\u3f73\2\u3fe6\2\u4059\2\u40cc\2\u413f\2\u41b2"+
-    "\2\u4225\2\u4298\2\u430b\2\u437e\2\u43f1\2\u4464\2\u44d7\2\u454a"+
-    "\2\u45bd\2\u4630\2\u46a3\2\u4716\2\u4789\2\u47fc\2\u486f\2\u48e2"+
-    "\2\u4955\2\u49c8\2\u4a3b\0\u0730\2\u4aae\2\u4b21\2\u4b94\2\u4c07"+
-    "\2\u4c7a\2\u4ced\2\u4d60\2\u4dd3\2\u4e46\2\u4eb9\2\u4f2c\2\u4f9f"+
-    "\2\u5012\2\u5085\2\u50f8\2\u516b\2\u51de\2\u5251\2\u52c4\2\u5337"+
-    "\2\u53aa\2\u541d\2\u5490\2\u5503\2\u5576\2\u55e9\2\u565c\2\u56cf"+
-    "\2\u5742\2\u57b5\2\u5828\2\u589b\2\u590e\2\u5981\2\u59f4\2\u5a67"+
-    "\2\u5ada\2\u5b4d\2\u5bc0\2\u5c33\2\u5ca6\2\u5d19\2\u5d8c\2\u5dff"+
-    "\2\u5e72\2\u5ee5\2\u5f58\2\u5fcb\2\u603e\2\u60b1\2\u6124\2\u6197"+
-    "\2\u620a\2\u627d\2\u62f0\2\u6363\2\u63d6\2\u6449\2\u64bc\2\u652f"+
-    "\2\u65a2\2\u6615\2\u6688\2\u66fb\2\u676e\2\u67e1\2\u6854\2\u68c7"+
-    "\2\u693a\2\u69ad\0\u5069\2\u6a20\2\u6a93\2\u6b06\2\u6b79\2\u6bec"+
-    "\2\u6c5f\2\u6cd2\2\u6d45\2\u6db8\2\u6e2b\2\u6e9e\2\u6f11\2\u6f84"+
-    "\2\u6ff7\2\u706a\2\u70dd\2\u7150\2\u71c3\2\u7236\2\u72a9\2\u731c"+
-    "\2\u738f\2\u7402\2\u7475\2\u74e8\0\u832c\2\u755b\2\u75ce\2\u7641"+
-    "\2\u76b4\2\u7727\2\u779a\2\u780d\2\u7880\0\u064a\2\u78f3\2\u7966"+
-    "\2\u79d9\2\u7a4c\2\u7abf\2\u7b32\2\u7ba5\2\u7c18\2\u7c8b\2\u7cfe"+
-    "\2\u7d71\2\u7de4\2\u7e57\2\u7eca\2\u7f3d\2\u7fb0\2\u8023\2\u8096"+
-    "\2\u8109\1\u06cb\0\u4f83\2\u817c\2\u81ef\2\u8262\2\u82d5\2\u8348"+
-    "\2\u83bb\2\u842e\0\u0730\2\u84a1\2\u8514\2\u8587\0\u064a\2\u85fa"+
-    "\2\u866d\2\u86e0\2\u8753\2\u87c6\2\u8839\2\u88ac\2\u891f\2\u8992"+
-    "\2\u8a05\2\u8a78\2\u8aeb\1\u692c\2\u8b5e\2\u8bd1\2\u8c44\2\u8cb7"+
-    "\2\u8d2a\2\u8d9d\2\u8e10\2\u8e83\2\u8ef6\2\u8f69\2\u8fdc\2\u904f"+
-    "\2\u90c2\2\u9135\2\u91a8\2\u921b\2\u928e\2\u9301\2\u9374\2\u93e7"+
-    "\2\u945a\2\u94cd\2\u9540\0\u4e9d\0\u064a\0\u0730\2\u95b3\2\u9626"+
-    "\2\u9699\2\u970c\2\u977f\2\u97f2\2\u9865\2\u98d8\2\u994b\2\u99be"+
-    "\2\u9a31\2\u9aa4\2\u9b17\2\u9b8a\2\u9bfd\2\u9c70\2\u9ce3\2\u9d56"+
-    "\2\u9dc9\2\u9e3c\2\u9eaf\2\u9f22\2\u9f95\2\ua008\2\ua07b\2\ua0ee"+
-    "\2\ua161\2\ua1d4\2\ua247\2\ua2ba\2\ua32d\2\ua3a0\2\ua413\2\ua486"+
-    "\2\ua4f9\2\ua56c\2\ua5df\2\ua652\2\ua6c5\2\ua738\2\ua7ab\2\ua81e"+
-    "\2\ua891\2\ua904\2\ua977\2\ua9ea\2\uaa5d\2\uaad0\2\uab43\2\uabb6"+
-    "\2\uac29\2\uac9c\2\uad0f\2\uad82\2\uadf5\2\uae68\2\uaedb\2\uaf4e"+
-    "\2\uafc1\2\ub034\2\ub0a7\2\ub11a\2\ub18d\2\ub200\2\ub273\2\ub2e6"+
-    "\2\ub359\2\ub3cc\2\ub43f\1\u0b49\1\u0c2f\2\ub4b2\2\ub525\2\ub598"+
-    "\2\ub60b\2\ub67e\2\ub6f1\2\ub764\2\ub7d7\2\ub84a\2\ub8bd\2\ub930"+
-    "\2\ub9a3\2\uba16\0\u4f83\2\uba89\2\ubafc\2\ubb6f\2\ubbe2\2\ubc55"+
-    "\2\ubcc8\2\ubd3b\2\ubdae\2\ube21\2\ube94\2\ubf07\2\ubf7a\2\ubfed"+
-    "\2\uc060\2\uc0d3\2\uc146\2\uc1b9\2\uc22c\2\uc29f\2\uc312\2\uc385"+
-    "\2\uc3f8\2\uc46b\2\uc4de\2\uc551\2\uc5c4\2\uc637\2\uc6aa\2\uc71d"+
-    "\2\uc790\2\uc803\2\uc876\2\uc8e9\2\uc95c\2\u8aeb\1\u67d3\1\u6846"+
-    "\1\u699f\2\uc9cf\2\uca42\2\ucab5\2\ucb28\2\ucb9b\2\ucc0e\2\ucc81"+
-    "\2\uccf4\2\ucd67\2\ucdda\2\uce4d\2\ucec0\2\ucf33\2\ucfa6\2\ud019"+
-    "\2\ud08c\2\ud0ff\2\ud172\2\ud1e5\2\ud258\2\ud2cb\2\ud33e\2\ud3b1"+
-    "\2\ud424\2\ud497\2\ud50a\2\ud57d\2\ud5f0\2\ud663\2\ud6d6\2\ud749"+
-    "\2\ud7bc\2\ud82f\2\ud8a2\2\ud915\2\ud988\2\ud9fb\2\uda6e\2\udae1"+
-    "\2\udb54\2\udbc7\2\udc3a\2\udcad\2\udd20\2\udd93\2\ude06\2\ude79"+
-    "\1\u176a\1\u17dd\2\udeec\2\udf5f\2\udfd2\2\ue045\2\ue0b8\2\u05f3"+
-    "\0\u4f83\2\ue12b\2\ue19e\2\ue211\2\ue284\1\u103a\0\u7c6f\2\ue2f7"+
-    "\2\ue36a\2\ue3dd\2\ue450\2\ue4c3\2\ue536\0\u0730\2\ue5a9\0\ub018"+
-    "\2\ue61c\2\ue68f\1\udd12\2\ue702\2\ue775\2\ue7e8\2\u32df\2\ue85b"+
-    "\2\ue8ce\2\ue941\2\ue9b4\2\uea27\2\uea9a\2\ueb0d\2\ueb80\2\uebf3"+
-    "\2\uec66\2\ucab5\2\uecd9\2\ued4c\2\uedbf\2\uee32\2\ueea5\2\uef18"+
-    "\2\uef8b\2\ueffe\2\uf071\2\uf0e4\2\uf157\2\uf1ca\2\uf23d\2\uf2b0"+
-    "\2\uf323\2\uf396\2\uf409\2\uf47c\2\uf4ef\2\uf562\2\uf5d5\2\uf648"+
-    "\2\uf6bb\2\uf72e\2\uf7a1\2\uf814\2\uf887\2\uf8fa\2\uf96d\2\uf9e0"+
-    "\2\ufa53\2\ufac6\2\ufb39\2\ufbac\2\ufc1f\2\ufc92\2\ufd05\2\ufd78"+
-    "\2\ufdeb\2\ufe5e\2\ufed1\2\uff44\2\uffb7\3\52\3\235\3\u0110"+
-    "\3\u0183\3\u01f6\3\u0269\3\u02dc\3\u034f\3\u03c2\3\u0435\3\u04a8"+
-    "\3\u051b\3\u058e\3\u0601\3\u0674\3\u06e7\3\u075a\3\u07cd\3\u0840"+
-    "\3\u08b3\3\u0926\3\u0999\3\u0a0c\3\u0a7f\3\u0af2\3\u0b65\3\u0bd8"+
-    "\3\u0c4b\3\u0cbe\0\u4f83\3\u0d31\3\u0da4\3\u0e17\3\u0e8a\3\u0efd"+
-    "\3\u0f70\3\u0fe3\3\u1056\3\u10c9\3\u113c\3\u11af\3\u1222\3\u1295"+
-    "\3\u1308\3\u137b\3\u13ee\3\u1461\3\u14d4\3\u1547\3\u15ba\3\u162d"+
-    "\3\u16a0\3\u1713\3\u1786\3\u17f9\3\u186c\3\u18df\3\u1952\3\u19c5"+
-    "\3\u1a38\3\u1aab\3\u1b1e\3\u1b91\3\u1c04\3\u1c77\3\u1cea\3\u1d5d"+
-    "\3\u1dd0\3\u1e43\3\u1eb6\3\u1f29\3\u1f9c\3\u200f\3\u2082\3\u20f5"+
-    "\3\u2168\3\u21db\3\u224e\3\u22c1\3\u2334\3\u23a7\3\u241a\3\u248d"+
-    "\3\u2500\3\u2573\3\u25e6\3\u2659\3\u26cc\3\u273f\3\u27b2\3\u2825"+
-    "\3\u2898\3\u290b\3\u297e\3\u29f1\3\u2a64\3\u2ad7\3\u2b4a\3\u2bbd"+
-    "\3\u2c30\3\u2ca3\3\u2d16\3\u2d89\3\u2dfc\3\u2e6f\1\u103a\0\u0730"+
-    "\0\u4f83\1\u10ad\3\u2ee2\3\u2f55\3\u2fc8\3\u303b\3\u30ae\3\u3121"+
-    "\3\u3194\3\u3207\3\u327a\3\u32ed\3\u3360\3\u33d3\3\u3446\3\u34b9"+
-    "\3\u352c\3\u359f\3\u3612\3\u3685\3\u36f8\3\u376b\3\u37de\3\u3851"+
-    "\3\u38c4\3\u3937\3\u39aa\3\u3a1d\3\u3a90";
-
-  private static int [] zzUnpackRowMap() {
-    int [] result = new int[1981];
-    int offset = 0;
-    offset = zzUnpackRowMap(ZZ_ROWMAP_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackRowMap(String packed, int offset, int [] result) {
-    int i = 0;  /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int high = packed.charAt(i++) << 16;
-      result[j++] = high | packed.charAt(i++);
-    }
-    return j;
-  }
-
-  /** 
-   * The transition table of the DFA
-   */
-  private static final int [] ZZ_TRANS = zzUnpackTrans();
-
-  private static final String ZZ_TRANS_PACKED_0 =
-    "\1\17\1\20\1\21\1\22\1\23\1\24\1\25\1\26"+
-    "\1\27\1\30\1\31\1\32\1\33\1\34\1\35\1\36"+
-    "\1\37\1\40\1\41\1\42\1\43\1\44\1\45\1\46"+
-    "\1\47\1\50\1\51\1\52\1\53\1\54\1\55\1\56"+
-    "\1\23\1\57\1\60\1\61\1\62\1\63\1\64\1\65"+
-    "\1\66\1\67\1\70\1\71\1\72\1\73\1\74\1\75"+
-    "\1\76\1\77\1\100\1\101\1\102\1\103\1\104\1\105"+
-    "\1\106\1\107\1\110\1\111\1\112\1\54\1\113\1\114"+
-    "\1\115\1\34\1\116\1\117\1\43\1\120\1\121\1\122"+
-    "\1\123\1\124\1\125\1\126\1\127\1\130\1\131\1\74"+
-    "\1\47\1\132\1\133\1\134\1\135\1\136\1\124\1\34"+
-    "\2\137\1\140\1\141\1\142\1\143\1\144\1\145\1\146"+
-    "\1\43\1\74\1\147\1\150\1\151\1\152\1\17\1\57"+
-    "\1\153\1\154\1\114\1\123\1\155\1\47\1\114\1\47"+
-    "\1\156\1\157\1\17\1\20\1\21\1\22\1\23\1\24"+
-    "\1\25\1\26\1\27\1\30\1\31\1\32\1\33\1\34"+
-    "\1\35\1\36\1\37\1\40\1\41\1\42\1\43\1\44"+
-    "\1\45\1\46\1\160\1\50\1\51\1\52\1\53\1\54"+
-    "\1\55\1\56\1\23\1\57\1\60\1\61\1\62\1\63"+
-    "\1\64\1\65\1\66\1\67\1\70\1\71\1\72\1\73"+
-    "\1\74\1\75\1\76\1\77\1\100\1\101\1\102\1\161"+
-    "\1\162\1\105\1\106\1\107\1\110\1\111\1\112\1\54"+
-    "\1\113\1\114\1\115\1\34\1\116\1\117\1\43\1\120"+
-    "\1\121\1\122\1\123\1\124\1\125\1\126\1\127\1\130"+
-    "\1\131\1\74\1\160\1\163\1\133\1\134\1\135\1\136"+
-    "\1\124\1\34\2\137\1\140\1\141\1\142\1\143\1\144"+
-    "\1\145\1\146\1\43\1\74\1\147\1\150\1\151\1\152"+
-    "\1\17\1\57\1\153\1\154\1\114\1\123\1\155\1\160"+
-    "\1\114\1\160\1\156\1\157\1\17\1\20\1\21\1\22"+
-    "\1\23\1\24\1\25\1\26\1\27\1\30\1\31\1\32"+
-    "\1\33\1\34\1\35\1\36\1\37\1\40\1\41\1\42"+
-    "\1\43\1\44\1\45\1\46\1\164\1\50\1\51\1\52"+
-    "\1\53\1\54\1\55\1\56\1\23\1\57\1\60\1\61"+
-    "\1\62\1\63\1\64\1\65\1\66\1\67\1\70\1\71"+
-    "\1\72\1\73\1\74\1\75\1\76\1\77\1\100\1\101"+
-    "\1\102\1\165\1\166\1\105\1\106\1\107\1\110\1\111"+
-    "\1\112\1\54\1\113\1\114\1\115\1\34\1\116\1\117"+
-    "\1\43\1\120\1\121\1\122\1\123\1\124\1\125\1\126"+
-    "\1\127\1\130\1\131\1\74\1\164\1\167\1\133\1\134"+
-    "\1\135\1\136\1\124\1\34\2\137\1\140\1\141\1\142"+
-    "\1\143\1\144\1\145\1\146\1\43\1\74\1\147\1\150"+
-    "\1\151\1\152\1\17\1\57\1\153\1\154\1\114\1\123"+
-    "\1\155\1\164\1\114\1\164\1\156\1\157\6\0\1\170"+
-    "\6\171\2\0\10\171\2\0\4\171\5\0\23\171\16\0"+
-    "\4\171\4\0\5\171\2\0\1\171\1\0\2\171\7\0"+
-    "\6\171\27\0\2\172\1\0\1\172\6\0\1\173\10\0"+
-    "\1\174\10\0\2\172\1\0\1\172\4\0\1\173\6\0"+
-    "\1\174\107\0\5\175\1\6\2\0\10\175\2\0\4\175"+
-    "\5\0\6\175\1\6\14\175\17\0\1\175\1\0\1\6"+
-    "\4\0\5\175\2\0\1\175\1\0\2\175\7\0\6\175"+
-    "\40\0\1\176\31\0\1\176\117\0\3\177\1\200\1\177"+
-    "\1\201\2\0\3\177\1\202\2\177\1\203\1\177\2\0"+
-    "\1\177\1\204\2\177\5\0\4\177\1\200\1\177\1\201"+
-    "\3\177\1\202\2\177\1\203\2\177\1\204\2\177\17\0"+
-    "\1\177\6\0\2\205\2\206\1\177\2\0\1\177\1\0"+
-    "\2\177\7\0\6\177\55\0\1\207\37\0\1\207\32\0"+
-    "\2\207\40\0\1\210\1\211\1\212\1\213\1\0\1\214"+
-    "\2\0\1\215\1\216\1\217\1\220\1\221\1\0\1\222"+
-    "\1\223\2\0\1\224\1\225\1\226\1\227\6\0\1\230"+
-    "\1\211\1\231\1\213\1\0\1\214\1\215\1\216\1\217"+
-    "\1\220\1\221\1\0\1\222\1\232\1\233\1\225\1\226"+
-    "\1\227\26\0\2\234\2\235\5\0\1\236\1\237\7\0"+
-    "\2\240\2\241\26\0\1\242\1\243\27\0\30\15\10\0"+
-    "\1\15\15\0\1\15\1\0\1\15\1\0\1\15\5\0"+
-    "\1\15\2\0\2\15\4\0\1\15\1\0\1\15\1\0"+
-    "\1\15\27\0\3\244\1\245\1\244\1\246\2\0\3\244"+
-    "\1\247\2\244\1\250\1\244\2\0\1\244\1\251\2\244"+
-    "\5\0\4\244\1\245\1\244\1\246\3\244\1\247\2\244"+
-    "\1\250\2\244\1\251\2\244\17\0\1\244\6\0\2\252"+
-    "\2\253\1\244\2\0\1\244\1\0\2\244\7\0\6\244"+
-    "\24\0\1\254\30\0\5\255\33\0\1\255\32\0\2\255"+
-    "\37\0\1\256\100\0\1\257\13\0\1\257\37\0\1\260"+
-    "\5\0\7\260\1\0\12\260\1\0\5\260\1\0\1\260"+
-    "\1\0\26\260\1\0\11\260\1\0\7\260\1\0\1\261"+
-    "\5\260\2\0\1\260\1\0\2\260\6\0\7\260\2\0"+
-    "\10\260\2\0\1\260\2\0\1\260\1\0\1\34\1\262"+
-    "\1\263\3\0\6\263\2\0\10\263\2\0\4\263\5\0"+
-    "\23\263\17\0\1\263\6\0\5\263\2\0\1\263\1\0"+
-    "\2\263\7\0\6\263\206\0\1\22\164\0\1\34\155\0"+
-    "\1\260\5\0\1\260\1\264\1\260\1\265\1\260\1\266"+
-    "\1\267\1\0\2\260\1\270\1\271\1\272\1\260\1\273"+
-    "\1\274\1\275\1\276\1\0\2\277\1\300\2\260\1\0"+
-    "\1\260\1\0\2\260\1\264\1\260\1\265\1\260\1\266"+
-    "\1\267\1\260\1\270\1\271\1\272\1\260\1\273\1\274"+
-    "\1\275\2\277\1\300\3\260\1\0\11\260\1\0\7\260"+
-    "\1\0\1\261\5\260\2\0\1\260\1\0\2\260\6\0"+
-    "\7\260\2\0\10\260\2\0\1\260\2\0\1\260\1\301"+
-    "\1\0\1\302\1\303\2\0\1\304\1\305\1\306\1\307"+
-    "\1\310\1\305\1\311\1\303\1\301\1\305\1\312\1\305"+
-    "\1\313\1\314\2\305\1\315\1\301\1\316\1\317\1\320"+
-    "\2\305\1\321\1\0\1\301\1\0\1\301\1\313\1\305"+
-    "\1\306\1\307\1\310\1\305\1\311\1\305\1\310\1\305"+
-    "\1\313\1\314\2\305\1\315\1\317\1\320\2\305\1\322"+
-    "\1\301\1\323\5\301\1\324\1\325\2\301\1\303\1\301"+
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-    "\1\316\1\303\2\301\1\0\1\302\1\303\2\0\1\u0186"+
-    "\2\305\1\313\2\305\1\311\1\303\1\301\3\305\1\313"+
-    "\3\305\1\313\1\301\1\316\2\313\2\305\1\301\1\0"+
-    "\1\301\1\0\1\301\1\u013a\2\u013b\1\u013a\2\u013b\1\u013c"+
-    "\3\u013b\1\u013a\3\u013b\3\u013a\2\u013b\1\322\1\301\1\323"+
-    "\1\301\1\u013d\3\301\1\260\1\325\2\301\1\u013e\1\301"+
-    "\1\326\1\305\1\327\1\330\1\331\1\301\1\332\1\u0270"+
-    "\1\u013b\1\305\1\u013b\1\305\1\u013b\2\316\1\313\1\u02ec"+
-    "\1\305\1\u013b\1\303\3\0\2\303\1\336\1\305\1\u013b"+
-    "\1\305\1\u013b\1\305\1\u013b\2\0\2\301\1\340\1\301"+
-    "\1\340\3\301\1\0\1\316\1\301\1\316\1\303\2\301"+
-    "\1\0\1\302\1\303\2\0\1\u02f2\2\305\1\313\2\305"+
-    "\1\311\1\303\1\301\3\305\1\313\3\305\1\313\1\301"+
-    "\1\316\2\313\1\305\1\314\1\301\1\0\1\301\1\0"+
-    "\1\301\1\u013a\2\u013b\1\u013a\2\u013b\1\u013c\3\u013b\1\u013a"+
-    "\3\u013b\3\u013a\1\u013b\1\u0147\1\322\1\301\1\323\1\301"+
-    "\1\u013d\3\301\1\260\1\325\2\301\1\u013e\1\301\1\326"+
-    "\1\305\1\327\1\330\1\u0273\1\u0274\1\332\1\u0270\1\u013b"+
-    "\1\305\1\u013b\1\305\1\u013b\2\316\1\313\1\u0275\1\305"+
-    "\1\u013b\1\303\3\0\2\303\1\336\1\305\1\u013b\1\305"+
-    "\1\u013b\1\305\1\u013b\2\0\2\301\1\340\1\301\1\340"+
-    "\3\301\1\0\1\316\1\301\1\316\1\303\1\301\30\0"+
-    "\1\u032e\34\0\2\u032e\31\0\2\u032e\34\0\1\u032e\1\0"+
-    "\1\u032e\2\0\1\260\5\0\1\260\6\u0191\1\0\1\260"+
-    "\10\u0191\1\260\1\u01a3\4\u0191\1\260\1\0\1\260\1\0"+
-    "\1\260\24\u0191\1\260\1\u01a4\11\260\1\0\1\260\2\u0191"+
-    "\4\260\1\0\1\u032f\5\u0191\2\u01a3\1\u0191\1\0\2\u0191"+
-    "\6\0\1\260\6\u0191\2\0\2\260\1\u0199\1\260\1\u0199"+
-    "\3\260\1\0\1\u01a3\1\260\1\u01a3\1\0\1\260\2\0"+
-    "\1\u0190\4\0\6\u01a3\2\0\10\u01a3\1\0\1\u0330\4\u01a3"+
-    "\5\0\23\u01a3\1\u0330\1\u019d\1\u0195\1\u0197\12\0\2\u01a3"+
-    "\1\0\1\u0197\2\0\1\u0197\1\u0331\5\u01a3\2\u0330\1\u01a3"+
-    "\1\0\2\u01a3\1\u0197\6\0\6\u01a3\4\0\1\u01a4\1\0"+
-    "\1\u01a4\4\0\1\u0330\1\0\1\u0330\2\0\1\260\1\0"+
-    "\1\u0190\3\0\1\260\6\u0191\1\0\1\260\10\u0191\1\260"+
-    "\1\u0330\4\u0191\1\260\1\0\1\260\1\0\1\260\23\u0191"+
-    "\1\u0332\1\u019f\1\u0195\1\u0196\10\260\1\0\1\260\2\u0191"+
-    "\1\260\1\u0196\2\260\1\u0197\1\u0198\5\u0191\2\u0330\1\u0191"+
-    "\1\0\2\u0191\1\u0197\5\0\1\260\6\u0191\2\0\2\260"+
-    "\1\u0199\1\260\1\u0199\3\260\1\0\1\u0330\1\260\1\u0330"+
-    "\1\0\2\260\1\0\1\u0190\3\0\7\260\1\0\12\260"+
-    "\1\u019d\5\260\1\0\1\260\1\0\24\260\2\u019f\1\u0190"+
-    "\1\u0196\10\260\1\0\4\260\1\u0196\2\260\1\u0197\1\u019b"+
-    "\5\260\2\u019d\1\260\1\0\2\260\1\u0197\5\0\7\260"+
-    "\2\0\10\260\1\0\1\u019d\1\260\1\u019d\1\0\1\260"+
-    "\7\0\1\u01a3\1\u0333\4\u01a3\2\0\2\u01a3\1\u0333\4\u01a3"+
-    "\1\u0333\1\0\1\u0334\4\u01a3\5\0\2\u01a3\1\u0333\6\u01a3"+
-    "\1\u0333\4\u01a3\1\u0333\4\u01a3\1\u0334\1\u032e\14\0\2\u01a3"+
-    "\6\0\5\u01a3\2\u0334\1\u01a3\1\0\2\u01a3\7\0\6\u01a3"+
-    "\13\0\1\u0334\1\0\1\u0334\2\0\1\260\5\0\6\260"+
-    "\1\u0259\1\335\7\260\1\u025a\1\u025b\1\260\1\u019d\1\260"+
-    "\1\u025c\3\260\1\0\1\260\1\0\7\260\1\u0259\6\260"+
-    "\1\u025a\1\u025b\1\260\1\u025c\2\260\2\u019f\1\0\11\260"+
-    "\1\0\7\260\1\335\1\0\5\260\2\u019d\1\260\1\0"+
-    "\2\260\1\335\5\0\7\260\2\0\6\260\1\324\1\260"+
-    "\1\0\1\u019d\1\260\1\u019d\1\0\2\260\5\0\1\260"+
-    "\1\u0191\1\u0335\4\u0191\1\0\1\260\2\u0191\1\u0335\4\u0191"+
-    "\1\u0335\1\260\1\u01a3\4\u0191\1\260\1\0\1\260\1\0"+
-    "\1\260\2\u0191\1\u0335\6\u0191\1\u0335\4\u0191\1\u0335\5\u0191"+
-    "\1\260\1\0\11\260\1\0\1\260\2\u0191";
-
-  private static final String ZZ_TRANS_PACKED_1 =
-    "\4\260\1\0\1\261\5\u0191\2\u01a3\1\u0191\1\0\2\u0191"+
-    "\6\0\1\260\6\u0191\2\0\10\260\1\0\1\u01a3\1\260"+
-    "\1\u01a3\1\0\1\260\2\0\1\u0190\25\0\1\u019d\34\0"+
-    "\2\u019d\1\u0190\1\u0197\15\0\1\u0197\2\0\2\u0197\5\0"+
-    "\2\u019d\4\0\1\u0197\27\0\1\u019d\1\0\1\u019d\2\0"+
-    "\1\260\5\0\6\260\1\u0259\1\0\7\260\1\u025a\1\u025b"+
-    "\1\260\1\u019d\1\260\1\u025c\3\260\1\0\1\260\1\0"+
-    "\7\260\1\u0259\6\260\1\u025a\1\u025b\1\260\1\u025c\2\260"+
-    "\2\u019f\1\0\11\260\1\0\7\260\2\0\5\260\2\u019d"+
-    "\1\260\1\0\2\260\6\0\7\260\2\0\10\260\1\0"+
-    "\1\u019d\1\260\1\u019d\1\0\1\260\12\0\1\u0336\10\0"+
-    "\1\u0336\1\0\1\u0336\20\0\1\u0336\6\0\1\u0336\1\0"+
-    "\1\u0336\133\0\1\u019d\34\0\2\u019d\1\0\1\u0197\15\0"+
-    "\1\u0197\2\0\2\u0197\5\0\2\u019d\4\0\1\u0197\27\0"+
-    "\1\u019d\1\0\1\u019d\71\0\1\u019e\73\0\1\260\5\0"+
-    "\7\260\1\0\12\260\1\0\5\260\1\0\1\260\1\0"+
-    "\26\260\1\0\6\260\1\u0337\2\260\1\0\7\260\1\0"+
-    "\1\261\5\260\2\0\1\260\1\0\2\260\6\0\7\260"+
-    "\2\0\10\260\2\0\1\260\2\0\2\260\5\0\3\260"+
-    "\1\u0338\3\260\1\0\4\260\1\277\3\260\1\277\1\260"+
-    "\1\0\2\277\3\260\1\0\1\260\1\0\4\260\1\u0338"+
-    "\6\260\1\277\3\260\3\277\4\260\1\0\11\260\1\0"+
-    "\7\260\1\0\1\261\5\260\2\0\1\260\1\0\2\260"+
-    "\6\0\7\260\2\0\10\260\2\0\1\260\2\0\2\260"+
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-    "\1\u01a2\3\117\3\u01a2\2\117\1\u0191\1\260\1\u01a4\11\260"+
-    "\1\0\1\260\2\117\2\120\1\u033a\1\u033b\1\0\1\u01a6"+
-    "\5\117\2\u01a3\1\u01a2\1\u033c\2\117\6\0\1\260\6\117"+
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-    "\1\260\1\u01a3\1\0\1\260\7\0\6\u01a3\2\0\10\u01a3"+
-    "\1\0\5\u01a3\5\0\24\u01a3\1\0\1\u01a4\13\0\2\u01a3"+
-    "\5\0\1\u033d\10\u01a3\1\0\2\u01a3\7\0\6\u01a3\4\0"+
-    "\1\u01a4\1\0\1\u01a4\4\0\1\u01a3\1\0\1\u01a3\11\0"+
-    "\1\u01a3\1\u0333\4\u01a3\2\0\2\u01a3\1\u0333\4\u01a3\1\u0333"+
-    "\1\0\5\u01a3\5\0\2\u01a3\1\u0333\6\u01a3\1\u0333\4\u01a3"+
-    "\1\u0333\5\u01a3\15\0\2\u01a3\6\0\10\u01a3\1\0\2\u01a3"+
-    "\7\0\6\u01a3\13\0\1\u01a3\1\0\1\u01a3\2\0\1\260"+
-    "\5\0\1\260\2\u033e\1\260\1\u033e\2\260\1\0\3\260"+
-    "\1\u033f\1\260\1\u0340\4\260\1\0\3\260\1\u0340\1\260"+
-    "\1\0\1\260\1\0\2\260\2\u033e\1\260\1\u033e\4\260"+
-    "\1\u033f\1\260\1\u0340\6\260\1\u0340\2\260\1\0\11\260"+
-    "\1\0\7\260\1\0\1\261\5\260\2\0\1\260\1\0"+
-    "\2\260\6\0\7\260\2\0\10\260\2\0\1\260\2\0"+
-    "\2\260\5\0\6\260\1\u0259\1\u0341\7\260\1\u025a\1\u025b"+
-    "\1\260\1\0\1\260\1\u025c\3\260\1\0\1\260\1\0"+
-    "\7\260\1\u0259\6\260\1\u025a\1\u025b\1\260\1\u025c\4\260"+
-    "\1\0\11\260\1\0\7\260\1\u0341\1\0\5\260\2\0"+
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-    "\11\260\1\0\1\260\1\120\1\u01a8\1\120\1\u01a8\1\u01a5"+
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-    "\1\260\1\0\4\u01a8\1\260\1\0\1\260\1\0\1\260"+
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-    "\5\u01a8\2\0\1\u01a8\1\u01a7\2\u01a8\6\0\1\260\6\u01a8"+
-    "\2\0\10\260\2\0\1\260\2\0\1\260\1\u0347\5\u0348"+
-    "\1\u0347\6\260\1\u0348\1\u0347\10\260\1\u0347\1\u0348\4\260"+
-    "\1\u0347\1\u0348\1\u0347\1\u0348\1\u0347\23\260\2\u0347\1\u0348"+
-    "\11\u0347\1\u0348\2\u0347\1\260\4\u0347\1\u0348\1\u0349\5\260"+
-    "\2\u0348\1\260\1\u0348\2\260\6\u0348\1\u0347\6\260\2\u0348"+
-    "\10\u0347\2\u0348\1\u0347\2\u0348\1\u0347\1\260\5\0\1\u034a"+
-    "\6\260\1\0\12\260\1\0\5\260\1\0\1\260\1\0"+
-    "\26\260\1\0\11\260\1\0\5\260\1\114\1\260\1\0"+
-    "\1\261\5\260\2\0\1\260\1\34\2\260\6\0\7\260"+
-    "\2\0\10\260\2\0\1\260\2\0\2\260\5\0\7\260"+
-    "\1\0\12\260\1\0\1\u034b\4\260\1\0\1\260\1\0"+
-    "\20\260\1\u034b\5\260\1\0\11\260\1\0\7\260\1\0"+
-    "\1\261\5\260\2\0\1\260\1\0\2\260\6\0\7\260"+
-    "\2\0\10\260\2\0\1\260\2\0\2\260\5\0\7\260"+
-    "\1\0\3\260\1\u01aa\6\260\1\0\5\260\1\0\1\260"+
-    "\1\0\12\260\1\u01aa\13\260\1\0\11\260\1\0\7\260"+
-    "\1\0\1\261\5\260\2\0\1\260\1\0\2\260\6\0"+
-    "\7\260\2\0\10\260\2\0\1\260\2\0\2\260\5\0"+
-    "\7\260\1\0\12\260\1\0\1\260\1\u01aa\3\260\1\0"+
-    "\1\260\1\0\21\260\1\u01aa\4\260\1\0\11\260\1\0"+
-    "\7\260\1\0\1\261\5\260\2\0\1\260\1\0\2\260"+
-    "\6\0\7\260\2\0\10\260\2\0\1\260\2\0\2\260"+
-    "\5\0\3\260\1\u034c\3\260\1\0\12\260\1\0\5\260"+
-    "\1\0\1\260\1\0\4\260\1\u034c\21\260\1\0\11\260"+
-    "\1\0\7\260\1\0\1\261\5\260\2\0\1\260\1\0"+
-    "\2\260\6\0\7\260\2\0\10\260\2\0\1\260\2\0"+
-    "\1\260\30\0\1\u034d\67\0\2\u034d\34\0\1\u034d\1\0"+
-    "\1\u034d\2\0\1\260\5\0\1\260\1\114\5\260\1\0"+
-    "\12\260\1\0\5\260\1\0\1\260\1\0\2\260\1\114"+
-    "\23\260\1\0\11\260\1\0\7\260\1\0\1\261\5\260"+
-    "\2\0\1\260\1\0\2\260\6\0\7\260\2\0\10\260"+
-    "\2\0\1\260\2\0\1\260\30\0\1\u034d\67\0\1\u034d"+
-    "\1\u034e\34\0\1\u034d\1\0\1\u034d\114\0\1\u034f\162\0"+
-    "\1\u0350\50\0\1\301\1\0\2\303\2\0\3\301\1\u0351"+
-    "\3\301\1\303\4\301\1\u026f\3\301\1\u026f\1\301\1\303"+
-    "\2\u026f\3\301\1\0\1\301\1\0\1\301\3\u02ef\1\u0352"+
-    "\6\u02ef\1\u02f1\3\u02ef\3\u02f1\2\u02ef\2\301\1\303\5\301"+
-    "\1\260\3\301\1\303\7\301\1\303\1\u026c\1\u02ef\1\301"+
-    "\1\u02ef\1\301\1\u02ef\2\303\1\301\1\303\1\301\1\u02ef"+
-    "\1\303\3\0\2\303\1\336\1\301\1\u02ef\1\301\1\u02ef"+
-    "\1\301\1\u02ef\2\0\10\301\1\0\1\303\1\301\2\303"+
-    "\2\301\1\0\1\302\1\303\2\0\1\u0272\2\305\1\313"+
-    "\2\305\1\u0353\1\303\1\301\1\u0354\2\305\1\313\3\305"+
-    "\1\313\1\301\1\316\2\313\2\305\1\301\1\0\1\301"+
-    "\1\0\1\301\1\313\2\305\1\313\2\305\1\u0353\1\u0354"+
-    "\2\305\1\313\3\305\3\313\2\305\1\322\1\301\1\323"+
-    "\5\301\1\260\1\325\2\301\1\303\1\301\1\326\1\305"+
-    "\1\327\1\330\1\u0273\1\u0274\1\332\1\u0270\5\305\2\316"+
-    "\1\313\1\u0275\2\305\1\303\3\0\2\303\1\336\6\305"+
-    "\2\0\2\301\1\340\1\301\1\340\3\301\1\0\1\316"+
-    "\1\301\1\316\1\303\2\301\1\0\1\302\1\303\2\0"+
-    "\1\u0272\2\305\1\313\2\305\1\u0353\1\303\1\301\2\305"+
-    "\1\306\1\313\3\305\1\313\1\301\1\316\2\313\2\305"+
-    "\1\301\1\0\1\301\1\0\1\301\1\313\2\305\1\313"+
-    "\2\305\1\u0353\2\305\1\306\1\313\3\305\3\313\2\305"+
-    "\1\322\1\301\1\323\5\301\1\260\1\325\2\301\1\303"+
-    "\1\301\1\326\1\305\1\327\1\330\1\u0273\1\u0274\1\332"+
-    "\1\u0270\5\305\2\316\1\313\1\u0275\2\305\1\303\3\0"+
-    "\2\303\1\336\6\305\2\0\2\301\1\340\1\301\1\340"+
-    "\3\301\1\0\1\316\1\301\1\316\1\303\2\301\1\0"+
-    "\1\302\1\303\2\0\1\u0272\2\305\1\313\1\310\1\305"+
-    "\1\311\1\303\1\301\3\305\1\313\3\305\1\313\1\301"+
-    "\1\316\2\313\2\305\1\301\1\0\1\301\1\0\1\301"+
-    "\1\313\2\305\1\313\1\310\1\305\1\311\3\305\1\313"+
-    "\3\305\3\313\2\305\1\322\1\301\1\323\5\301\1\260"+
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-    "\1\u04de\7\301\1\303\5\301\1\260\3\301\1\303\7\301"+
-    "\1\303\1\u026c\5\301\2\303\1\301\1\303\2\301\1\303"+
-    "\3\0\2\303\1\336\6\301\2\0\10\301\1\0\1\303"+
-    "\1\301\2\303\2\301\1\0\2\303\2\0\7\301\1\303"+
-    "\10\301\1\u04df\1\301\1\303\5\301\1\0\1\301\1\0"+
-    "\17\301\1\u04df\6\301\1\303\5\301\1\260\3\301\1\303"+
-    "\7\301\1\303\1\u026c\5\301\2\303\1\301\1\303\2\301"+
-    "\1\303\3\0\2\303\1\336\6\301\2\0\10\301\1\0"+
-    "\1\303\1\301\2\303\2\301\1\0\2\303\2\0\1\301"+
-    "\1\u04e0\5\301\1\303\12\301\1\303\5\301\1\0\1\301"+
-    "\1\0\2\301\1\u04e0\23\301\1\303\5\301\1\260\3\301"+
-    "\1\303\7\301\1\303\1\u026c\5\301\2\303\1\301\1\303"+
-    "\2\301\1\303\3\0\2\303\1\336\6\301\2\0\10\301"+
-    "\1\0\1\303\1\301\2\303\2\301\1\0\2\303\2\0"+
-    "\7\301\1\303\5\301\1\u04e1\4\301\1\303\5\301\1\0"+
-    "\1\301\1\0\14\301\1\u04e1\11\301\1\303\5\301\1\260"+
-    "\3\301\1\303\7\301\1\303\1\u026c\5\301\2\303\1\301"+
-    "\1\303\2\301\1\303\3\0\2\303\1\336\6\301\2\0"+
-    "\10\301\1\0\1\303\1\301\2\303\2\301\1\0\2\303"+
-    "\2\0\1\301\6\u0292\1\303\1\301\10\u0292\1\301\1\332"+
-    "\1\u0292\1\u0401\2\u0292\1\301\1\0\1\301\1\0\1\301"+
-    "\20\u0292\1\u0401\2\u0292\2\301\1\u0288";
-
-  private static final String ZZ_TRANS_PACKED_2 =
-    "\5\301\1\260\3\301\1\303\2\301\1\u0292\1\301\1\u0292"+
-    "\2\301\1\332\1\u0405\5\u0292\2\332\1\u0292\1\303\2\u0292"+
-    "\1\303\3\0\2\303\1\336\6\u0292\2\0\10\301\1\0"+
-    "\1\332\1\301\1\332\1\303\2\301\1\0\2\303\2\0"+
-    "\1\301\6\u0292\1\303\1\301\7\u0292\1\u0402\1\301\1\332"+
-    "\4\u0292\1\301\1\0\1\301\1\0\1\301\16\u0292\1\u0402"+
-    "\4\u0292\2\301\1\u0288\5\301\1\260\3\301\1\303\2\301"+
-    "\1\u0292\1\301\1\u0292\2\301\1\332\1\u0405\5\u0292\2\332"+
-    "\1\u0292\1\303\2\u0292\1\303\3\0\2\303\1\336\6\u0292"+
-    "\2\0\10\301\1\0\1\332\1\301\1\332\1\303\2\301"+
-    "\1\0\2\303\2\0\1\301\6\u0292\1\303\1\301\4\u0292"+
-    "\1\u0403\3\u0292\1\301\1\332\4\u0292\1\301\1\0\1\301"+
-    "\1\0\1\301\13\u0292\1\u0403\7\u0292\2\301\1\u0288\5\301"+
-    "\1\260\3\301\1\303\2\301\1\u0292\1\301\1\u0292\2\301"+
-    "\1\332\1\u0405\5\u0292\2\332\1\u0292\1\303\2\u0292\1\303"+
-    "\3\0\2\303\1\336\6\u0292\2\0\10\301\1\0\1\332"+
-    "\1\301\1\332\1\303\2\301\1\0\2\303\2\0\1\301"+
-    "\1\u0292\1\u0404\4\u0292\1\303\1\301\10\u0292\1\301\1\332"+
-    "\4\u0292\1\301\1\0\1\301\1\0\1\301\2\u0292\1\u0404"+
-    "\20\u0292\2\301\1\u0288\5\301\1\260\3\301\1\303\2\301"+
-    "\1\u0292\1\301\1\u0292\2\301\1\332\1\u0405\5\u0292\2\332"+
-    "\1\u0292\1\303\2\u0292\1\303\3\0\2\303\1\336\6\u0292"+
-    "\2\0\10\301\1\0\1\332\1\301\1\332\1\303\1\301"+
-    "\1\0\1\u04e2\2\0\1\u04e3\30\0\1\u04e3\1\u04e4\26\u04e3"+
-    "\10\0\1\u04e3\15\0\1\u04e3\1\0\1\u04e3\1\0\1\u04e3"+
-    "\5\0\1\u04e3\2\0\2\u04e3\4\0\1\u04e3\1\0\1\u04e3"+
-    "\1\0\1\u04e3\20\0\1\301\1\u04e2\2\303\1\u04e3\1\0"+
-    "\7\301\1\303\12\301\1\303\4\301\1\u04e5\1\u04e4\1\u04e5"+
-    "\1\u04e3\24\u04e5\2\301\1\303\5\301\1\u04e6\3\301\1\303"+
-    "\7\301\1\303\1\u026c\1\u04e5\1\301\1\u04e5\1\301\1\u04e5"+
-    "\2\303\1\301\1\303\1\301\1\u04e5\1\303\1\0\2\u04e3"+
-    "\2\303\1\336\1\301\1\u04e5\1\301\1\u04e5\1\301\1\u04e5"+
-    "\2\0\10\301\1\0\1\303\1\301\2\303\1\301\1\0"+
-    "\1\u04e2\2\0\1\u04e7\30\0\1\u04e3\1\u04e4\26\u04e3\10\0"+
-    "\1\u04e3\15\0\1\u04e3\1\0\1\u04e3\1\0\1\u04e3\5\0"+
-    "\1\u04e3\2\0\2\u04e3\4\0\1\u04e3\1\0\1\u04e3\1\0"+
-    "\1\u04e3\20\0\1\260\1\u04e2\2\0\1\u04e3\1\0\7\260"+
-    "\1\0\12\260\1\0\4\260\1\u04e6\1\u04e4\1\u04e6\1\u04e3"+
-    "\24\u04e6\2\260\1\0\5\260\1\u04e6\3\260\1\0\7\260"+
-    "\1\0\1\261\1\u04e6\1\260\1\u04e6\1\260\1\u04e6\2\0"+
-    "\1\260\1\0\1\260\1\u04e6\2\0\2\u04e3\2\0\2\260"+
-    "\1\u04e6\1\260\1\u04e6\1\260\1\u04e6\2\0\10\260\2\0"+
-    "\1\260\2\0\1\260\1\301\1\0\2\303\2\0\3\301"+
-    "\1\u03dd\3\301\1\303\1\301\1\u04e8\2\301\1\u03df\5\301"+
-    "\1\303\2\301\1\u03e0\2\301\1\0\1\301\1\0\4\301"+
-    "\1\u03dd\3\301\1\u04e8\2\301\1\u03df\6\301\1\u03e0\3\301"+
-    "\1\303\5\301\1\260\3\301\1\303\7\301\1\303\1\u026c"+
-    "\5\301\2\303\1\301\1\303\2\301\1\303\3\0\2\303"+
-    "\1\336\6\301\2\0\10\301\1\0\1\303\1\301\2\303"+
-    "\2\301\1\0\2\303\2\0\3\301\1\u03dd\3\301\1\303"+
-    "\1\301\1\u04e9\2\301\1\u03df\5\301\1\303\2\301\1\u03e0"+
-    "\2\301\1\0\1\301\1\0\4\301\1\u03dd\3\301\1\u04e9"+
-    "\2\301\1\u03df\6\301\1\u03e0\3\301\1\303\5\301\1\260"+
-    "\3\301\1\303\7\301\1\303\1\u026c\5\301\2\303\1\301"+
-    "\1\303\2\301\1\303\3\0\2\303\1\336\6\301\2\0"+
-    "\10\301\1\0\1\303\1\301\2\303\2\301\1\0\1\302"+
-    "\1\303\2\0\1\304\2\305\1\313\2\305\1\377\1\303"+
-    "\1\301\3\305\1\313\3\305\1\313\1\301\1\316\2\313"+
-    "\2\305\1\301\1\0\1\301\1\0\1\301\1\313\2\305"+
-    "\1\313\2\305\1\377\3\305\1\313\3\305\3\313\2\305"+
-    "\1\322\1\301\1\323\5\301\1\260\1\325\2\301\1\303"+
-    "\1\301\1\326\1\305\1\327\1\u0102\1\331\1\301\1\332"+
-    "\1\u0271\5\305\2\316\1\313\1\334\2\305\1\303\3\0"+
-    "\2\303\1\336\6\305\2\0\2\301\1\340\1\301\1\340"+
-    "\3\301\1\0\1\316\1\301\1\316\1\303\2\301\1\0"+
-    "\1\302\1\303\2\0\1\304\2\305\1\313\2\305\1\311"+
-    "\1\303\1\301\3\305\1\313\1\u04ea\2\305\1\313\1\301"+
-    "\1\316\2\313\2\305\1\301\1\0\1\301\1\0\1\301"+
-    "\1\313\2\305\1\313\2\305\1\311\3\305\1\313\1\u04ea"+
-    "\2\305\3\313\2\305\1\322\1\301\1\323\5\301\1\260"+
-    "\1\325\2\301\1\303\1\301\1\326\1\305\1\327\1\330"+
-    "\1\331\1\301\1\332\1\u0270\5\305\2\316\1\313\1\334"+
-    "\2\305\1\303\3\0\2\303\1\336\6\305\2\0\2\301"+
-    "\1\340\1\301\1\340\3\301\1\0\1\316\1\301\1\316"+
-    "\1\303\1\301\1\303\1\0\1\302\1\303\2\0\1\303"+
-    "\6\u03f5\2\303\10\u03f5\1\303\1\u0283\4\u03f5\1\303\1\0"+
-    "\1\303\1\0\1\303\23\u03f5\1\u012c\1\303\1\u03f6\5\303"+
-    "\1\0\1\u012b\4\303\1\u012c\1\u03f5\1\303\1\u0284\3\303"+
-    "\1\u03fb\5\u03f5\2\u0283\1\u03f5\1\303\2\u03f5\1\303\3\0"+
-    "\2\303\1\u012f\6\u03f5\2\0\2\303\1\u0130\1\303\1\u0130"+
-    "\3\303\1\0\1\u0283\1\303\1\u0283\3\303\1\0\2\303"+
-    "\2\0\1\303\1\u04eb\1\u04ec\4\u04eb\2\303\2\u04eb\1\u04ec"+
-    "\4\u04eb\1\u04ec\1\303\1\u0283\4\u04eb\1\303\1\0\1\303"+
-    "\1\0\1\303\2\u04eb\1\u04ec\6\u04eb\1\u04ec\4\u04eb\1\u04ec"+
-    "\4\u04eb\1\u012c\7\303\1\0\5\303\1\u012c\1\u04eb\1\303"+
-    "\1\u0284\4\303\5\u04eb\2\u0283\1\u04eb\1\303\2\u04eb\1\303"+
-    "\3\0\2\303\1\u012f\6\u04eb\2\0\10\303\1\0\1\u0283"+
-    "\1\303\1\u0283\3\303\1\0\2\303\2\0\1\303\6\u04ed"+
-    "\1\u04ee\1\303\10\u04ed\2\303\4\u04ed\1\303\1\0\1\303"+
-    "\1\0\1\303\23\u04ed\10\303\1\0\6\303\1\u04ed\4\303"+
-    "\1\u04ee\1\303\5\u04ed\2\303\1\u04ed\1\303\2\u04ed\1\u04ee"+
-    "\3\0\2\303\1\u012f\6\u04ed\2\0\6\303\1\u04ee\1\303"+
-    "\1\0\6\303\1\0\2\303\2\0\3\303\1\u04ef\24\303"+
-    "\1\0\1\303\1\0\4\303\1\u04ef\27\303\1\0\31\303"+
-    "\3\0\2\303\1\u012f\6\303\2\0\10\303\1\0\6\303"+
-    "\1\0\2\303\2\0\1\303\6\u02a1\2\303\10\u02a1\1\303"+
-    "\5\u02a1\1\303\1\0\1\303\1\0\1\303\24\u02a1\7\303"+
-    "\1\0\5\303\2\u02a1\6\303\10\u02a1\1\303\2\u02a1\1\303"+
-    "\3\0\2\303\1\u012f\6\u02a1\2\0\10\303\1\0\1\u02a1"+
-    "\1\303\1\u02a1\3\303\1\0\2\303\2\0\1\303\1\u04f0"+
-    "\1\u04f1\4\u04f0\2\303\2\u04f0\1\u04f1\4\u04f0\1\u04f1\1\303"+
-    "\1\u0283\4\u04f0\1\303\1\0\1\303\1\0\1\303\2\u04f0"+
-    "\1\u04f1\6\u04f0\1\u04f1\4\u04f0\1\u04f1\4\u04f0\1\u012c\7\303"+
-    "\1\0\5\303\1\u012c\1\u04f0\1\303\1\u0284\4\303\5\u04f0"+
-    "\2\u0283\1\u04f0\1\303\2\u04f0\1\303\3\0\2\303\1\u012f"+
-    "\6\u04f0\2\0\10\303\1\0\1\u0283\1\303\1\u0283\3\303"+
-    "\1\0\2\303\2\0\7\303\1\u04ee\20\303\1\0\1\303"+
-    "\1\0\34\303\1\0\13\303\1\u04ee\14\303\1\u04ee\3\0"+
-    "\2\303\1\u012f\6\303\2\0\6\303\1\u04ee\1\303\1\0"+
-    "\6\303\1\0\2\303\2\0\1\303\6\u0284\2\303\10\u0284"+
-    "\1\303\5\u0284\1\303\1\0\1\303\1\0\1\303\23\u0284"+
-    "\2\303\1\u0288\5\303\1\0\6\303\1\u0284\1\303\1\u0284"+
-    "\3\303\1\u03f7\10\u0284\1\303\2\u0284\1\303\3\0\2\303"+
-    "\1\u012f\6\u0284\2\0\10\303\1\0\1\u0284\1\303\1\u0284"+
-    "\2\303\4\0\1\u03fd\156\0\1\301\1\0\2\303\2\0"+
-    "\1\301\5\u028c\1\u028d\1\303\1\301\6\u028c\1\u028f\1\u0290"+
-    "\1\301\1\332\1\u028c\1\u0291\2\u028c\1\u04f2\1\0\1\301"+
-    "\1\0\1\301\6\u028c\1\u028d\6\u028c\1\u028f\1\u0290\1\u028c"+
-    "\1\u0291\2\u028c\2\301\1\u0288\5\301\1\u04f3\3\301\1\303"+
-    "\2\301\1\u028c\1\301\1\u0292\2\301\2\332\5\u028c\2\332"+
-    "\1\u028c\1\303\2\u028c\1\303\1\0\2\u04f4\2\303\1\336"+
-    "\6\u028c\2\0\10\301\1\0\1\332\1\301\1\332\1\303"+
-    "\2\301\1\0\2\303\2\0\1\301\6\u0292\1\303\1\301"+
-    "\1\u0292\1\u04f5\6\u0292\1\301\1\332\4\u0292\1\301\1\0"+
-    "\1\301\1\0\1\301\10\u0292\1\u04f5\12\u0292\2\301\1\u0288"+
-    "\5\301\1\260\3\301\1\303\2\301\1\u0292\1\301\1\u0292"+
-    "\2\301\1\332\1\u0405\5\u0292\2\332\1\u0292\1\303\2\u0292"+
-    "\1\303\3\0\2\303\1\336\6\u0292\2\0\10\301\1\0"+
-    "\1\332\1\301\1\332\1\303\2\301\1\0\2\303\2\0"+
-    "\1\301\1\u04f5\5\u0292\1\303\1\301\10\u0292\1\301\1\332"+
-    "\4\u0292\1\301\1\0\1\301\1\0\1\301\1\u0292\1\u04f5"+
-    "\21\u0292\2\301\1\u0288\5\301\1\260\3\301\1\303\2\301"+
-    "\1\u0292\1\301\1\u0292\2\301\1\332\1\u0405\5\u0292\2\332"+
-    "\1\u0292\1\303\2\u0292\1\303\3\0\2\303\1\336\6\u0292"+
-    "\2\0\10\301\1\0\1\332\1\301\1\332\1\303\2\301"+
-    "\1\0\2\303\2\0\1\301\6\u0292\1\303\1\301\10\u0292"+
-    "\1\301\1\332\2\u0292\1\u04f5\1\u0292\1\301\1\0\1\301"+
-    "\1\0\1\301\21\u0292\1\u04f5\1\u0292\2\301\1\u0288\5\301"+
-    "\1\260\3\301\1\303\2\301\1\u0292\1\301\1\u0292\2\301"+
-    "\1\332\1\u0405\5\u0292\2\332\1\u0292\1\303\2\u0292\1\303"+
-    "\3\0\2\303\1\336\6\u0292\2\0\10\301\1\0\1\332"+
-    "\1\301\1\332\1\303\2\301\1\0\2\303\2\0\1\301"+
-    "\6\u0292\1\303\1\301\3\u0292\1\u04f5\4\u0292\1\301\1\332"+
-    "\4\u0292\1\301\1\0\1\301\1\0\1\301\12\u0292\1\u04f5"+
-    "\10\u0292\2\301\1\u0288\5\301\1\260\3\301\1\303\2\301"+
-    "\1\u0292\1\301\1\u0292\2\301\1\332\1\u0405\5\u0292\2\332"+
-    "\1\u0292\1\303\2\u0292\1\303\3\0\2\303\1\336\6\u0292"+
-    "\2\0\10\301\1\0\1\332\1\301\1\332\1\303\2\301"+
-    "\1\0\2\303\2\0\1\301\5\u0292\1\u03e1\1\303\1\301"+
-    "\6\u0292\1\u03e2\1\u03e3\1\301\1\332\1\u0292\1\u03e4\2\u0292"+
-    "\1\301\1\0\1\301\1\0\1\301\6\u0292\1\u03e1\6\u0292"+
-    "\1\u03e2\1\u03e3\1\u0292\1\u03e4\2\u0292\2\301\1\u0288\5\301"+
-    "\1\260\3\301\1\303\2\301\1\u0292\1\301\1\u0292\2\301"+
-    "\2\332\5\u0292\2\332\1\u0292\1\303\2\u0292\1\303\3\0"+
-    "\2\303\1\336\6\u0292\2\0\10\301\1\0\1\332\1\301"+
-    "\1\332\1\303\1\301\1\u0298\1\0\2\u0299\2\0\1\u0298"+
-    "\5\u04f6\1\u04f7\1\u0299\1\u0298\6\u04f6\1\u04f8\1\u04f9\1\u0298"+
-    "\1\u0299\1\u04f6\1\u04fa\2\u04f6\1\u0298\1\0\1\u0298\1\0"+
-    "\1\u0298\6\u04f6\1\u04f7\6\u04f6\1\u04f8\1\u04f9\1\u04f6\1\u04fa"+
-    "\2\u04f6\2\u0298\1\u0299\5\u0298\1\260\3\u0298\1\u0299\2\u0298"+
-    "\1\u04f6\4\u0298\1\u0299\1\303\5\u04f6\2\u0299\1\u04f6\1\u0299"+
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-    "\1\0\1\u0299\1\u0298\2\u0299\1\u0298\1\u0299\1\0\2\u0299"+
-    "\2\0\1\u0299\6\u04fb\2\u0299\10\u04fb\2\u0299\4\u04fb\1\u0299"+
-    "\1\0\1\u0299\1\0\1\u0299\23\u04fb\10\u0299\1\0\6\u0299"+
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-    "\1\u0567\1\0\1\u0567\4\0\1\u037f\4\0\6\u01a3\2\0"+
-    "\10\u01a3\1\0\5\u01a3\5\0\24\u01a3\1\0\1\u01a4\6\0"+
-    "\1\u037e\1\u037f\3\0\2\u01a3\5\0\1\u033d\10\u01a3\1\0"+
-    "\2\u01a3\7\0\6\u01a3\4\0\1\u01a4\1\0\1\u01a4\4\0"+
-    "\1\u01a3\1\0\1\u01a3\4\0\1\u037f\73\0\1\u037e\1\u037f"+
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-    "\1\u01f8\1\260\1\0\7\260\1\0\1\261\5\260\2\0"+
-    "\1\260\1\0\2\260\6\0\7\260\2\0\10\260\2\0"+
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-    "\1\255\162\0\1\u0207\266\0\1\u06a8\61\0\1\u06a9\33\0"+
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-    "\1\u06ae\1\0\1\u06ae\1\u061b\2\0\30\u06ae\1\0\1\u06ae"+
-    "\1\0\26\u06ae\1\u061b\21\u06ae\2\u061b\14\u06ae\3\0\1\u061b"+
-    "\10\u06ae\2\0\10\u06ae\1\0\3\u06ae\1\u061b\1\u06ae\6\0"+
-    "\1\u06af\100\0\1\34\13\0\1\34\70\0\1\u06b0\27\0"+
-    "\1\u06b0\122\0\1\u061c\31\0\1\u061c\141\0\1\u061c\27\0"+
-    "\1\u061c\111\0\1\u06b1\33\0\1\u06b1\124\0\1\34\33\0"+
-    "\1\34\130\0\1\u06b2\10\0\1\u06b3\3\0\1\u06b3\2\0"+
-    "\2\u06b3\12\0\1\u06b2\6\0\1\u06b3\3\0\3\u06b3\115\0"+
-    "\1\u0341\73\0\1\u0341\14\0\1\u0341\24\0\1\u0341\7\0"+
-    "\1\303\1\0\2\303\2\0\1\303\6\u0625\2\303\10\u0625"+
-    "\2\303\4\u0625\1\303\1\0\1\303\1\0\1\303\23\u0625"+
-    "\2\303\1\u06b4\5\303\1\0\6\303\1\u0625\6\303\5\u0625"+
-    "\2\303\1\u0625\1\303\2\u0625\1\303\3\0\2\303\1\u012f"+
-    "\6\u0625\2\0\10\303\1\0\6\303\1\0\1\u03da\1\303"+
-    "\2\0\1\303\6\u0626\2\303\10\u0626\2\303\4\u0626\1\303"+
-    "\1\0\1\303\1\0\1\303\23\u0626\10\303\1\0\1\u03dc"+
-    "\5\303\1\u0626\6\303\5\u0626\2\303\1\u0626\1\303\2\u0626"+
-    "\1\303\3\0\2\303\1\u012f\6\u0626\2\0\10\303\1\0"+
-    "\5\303\1\301\1\0\2\303\2\0\7\301\1\303\12\301"+
-    "\1\303\1\301\1\u058a\3\301\1\0\1\301\1\0\21\301"+
-    "\1\u058a\4\301\1\303\5\301\1\260\3\301\1\303\7\301"+
-    "\1\303\1\u026c\5\301\2\303\1\301\1\303\2\301\1\303"+
-    "\3\0\2\303\1\336\6\301\2\0\10\301\1\0\1\303"+
-    "\1\301\2\303\1\301\1\303\1\0\2\303\2\0\1\u06b5"+
-    "\6\u0628\2\303\10\u0628\2\303\4\u0628\1\303\1\0\1\303"+
-    "\1\0\1\303\23\u0628\10\303\1\0\5\303\4\u0628\1\334"+
-    "\2\303\1\u06b6\5\u0628\2\303\1\u0628\1\334\2\u0628\1\303"+
-    "\3\0\2\303\1\u012f\6\u0628\2\0\10\303\1\0\5\303"+
-    "\1\301\1\0\2\303\2\0\7\301\1\u0275\12\301\1\303"+
-    "\5\301\1\0\1\301\1\0\26\301\1\303\5\301\1\260"+
-    "\3\301\1\303\7\301\1\303\1\u026c\5\301\2\303\1\301"+
-    "\1\303\2\301\1\303\3\0\2\303\1\336\6\301\2\0"+
-    "\10\301\1\0\1\303\1\301\2\303\2\301\1\0\2\303"+
-    "\2\0\7\301\1\u027a\12\301\1\303\5\301\1\0\1\301"+
-    "\1\0\26\301\1\303\5\301\1\260\3\301\1\303\7\301"+
-    "\1\303\1\u026c\5\301\2\303\1\301\1\303\2\301\1\303"+
-    "\3\0\2\303\1\336\6\301\2\0\10\301\1\0\1\303"+
-    "\1\301\2\303\1\301\1\303\1\0\2\303\2\0\4\303"+
-    "\1\u06b7\23\303\1\0\1\303\1\0\5\303\1\u06b7\26\303"+
-    "\1\0\31\303\3\0\2\303\1\u012f\6\303\2\0\10\303"+
-    "\1\0\5\303\1\301\1\0\2\303\2\0\7\301\1\303"+
-    "\4\301\1\u0632\5\301\1\303\5\301\1\0\1\301\1\0"+
-    "\13\301\1\u0632\12\301\1\303\5\301\1\260\3\301\1\303"+
-    "\7\301\1\303\1\u026c\5\301\2\303\1\301\1\303\2\301"+
-    "\1\303\3\0\2\303\1\336\6\301\2\0\10\301\1\0"+
-    "\1\303\1\301\2\303\2\301\1\0\2\303\2\0\7\301"+
-    "\1\303\2\301\1\u0632\7\301\1\303\5\301\1\0\1\301"+
-    "\1\0\11\301\1\u0632\14\301\1\303\5\301\1\260\3\301"+
-    "\1\303\7\301\1\303\1\u026c\5\301\2\303\1\301\1\303"+
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-    "\1\0\7\301\1\u06b8\16\301\1\303\5\301\1\260\3\301"+
-    "\1\303\7\301\1\303\1\u026c\5\301\2\303\1\301\1\303"+
-    "\2\301\1\303\3\0\2\303\1\336\6\301\2\0\10\301"+
-    "\1\0\1\303\1\301\2\303\2\301\1\0\2\303\2\0"+
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-    "\1\u06b9\5\301\2\303\1\301\1\303\2\301\1\303\3\0"+
-    "\2\303\1\336\6\301\2\0\10\301\1\0\1\303\1\301"+
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-    "\1\u0639\4\301\1\303\5\301\1\0\1\301\1\0\14\301"+
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-    "\3\0\2\303\1\336\6\301\2\0\10\301\1\0\1\303"+
-    "\1\301\2\303\2\301\1\0\2\303\2\0\2\301\1\u06ba"+
-    "\4\301\1\303\12\301\1\303\5\301\1\0\1\301\1\0"+
-    "\3\301\1\u06ba\22\301\1\303\5\301\1\260\3\301\1\303"+
-    "\7\301\1\303\1\u026c\5\301\2\303\1\301\1\303\2\301"+
-    "\1\303\3\0\2\303\1\336\6\301\2\0\10\301\1\0"+
-    "\1\303\1\301\2\303\2\301\1\0\2\303\2\0\7\301"+
-    "\1\303\12\301\1\303\4\301\1\u0634\1\0\1\301\1\0"+
-    "\26\301\1\303\5\301\1\u0635\3\301\1\303\7\301\1\303"+
-    "\1\u026c\5\301\2\303\1\301\1\303\2\301\1\303\1\0"+
-    "\2\u0636\2\303\1\336\6\301\2\0\10\301\1\0\1\303"+
-    "\1\301\2\303\2\301\1\0\2\303\2\0\7\301\1\303"+
-    "\7\301\1\u06bb\2\301\1\303\5\301\1\0\1\301\1\0"+
-    "\16\301\1\u06bb\7\301\1\303\5\301\1\260\3\301\1\303"+
-    "\7\301\1\303\1\u026c\5\301\2\303\1\301\1\303\2\301"+
-    "\1\303\3\0\2\303\1\336\6\301\2\0\10\301\1\0"+
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-    "\1\303\2\301\1\u06bc\7\301\1\303\5\301\1\0\1\301"+
-    "\1\0\11\301\1\u06bc\14\301\1\303\5\301\1\260\3\301"+
-    "\1\303\7\301\1\303\1\u026c\5\301\2\303\1\301\1\303"+
-    "\2\301\1\303\3\0\2\303\1\336\6\301\2\0\10\301"+
-    "\1\0\1\303\1\301\2\303\2\301\1\0\2\303\2\0"+
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-    "\1\301\1\0\17\301\1\u059f\6\301\1\303\5\301\1\260"+
-    "\3\301\1\303\7\301\1\303\1\u026c\5\301\2\303\1\301"+
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-    "\1\0\1\301\1\0\21\301\1\u0632\4\301\1\303\5\301"+
-    "\1\260\3\301\1\303\7\301\1\303\1\u026c\5\301\2\303"+
-    "\1\301\1\303\2\301\1\303\3\0\2\303\1\336\6\301"+
-    "\2\0\10\301\1\0\1\303\1\301\2\303\2\301\1\0"+
-    "\2\303\2\0\7\301\1\303\7\301\1\u06bd\2\301\1\303"+
-    "\5\301\1\0\1\301\1\0\16\301\1\u06bd\7\301\1\303"+
-    "\5\301\1\260\3\301\1\303\7\301\1\303\1\u026c\5\301"+
-    "\2\303\1\301\1\303\2\301\1\303\3\0\2\303\1\336"+
-    "\6\301\2\0\10\301\1\0\1\303\1\301\2\303\2\301"+
-    "\1\0\2\303\2\0\1\301\1\u0639\5\301\1\303\12\301"+
-    "\1\303\4\301\1\u0634\1\0\1\301\1\0\2\301\1\u0639"+
-    "\23\301\1\303\5\301\1\u0635\3\301\1\303\7\301\1\303"+
-    "\1\u026c\5\301\2\303\1\301\1\303\2\301\1\303\1\0"+
-    "\2\u0636\2\303\1\336\6\301\2\0\10\301\1\0\1\303"+
-    "\1\301\2\303\2\301\1\0\2\303\2\0\6\301\1\u06be"+
-    "\1\303\12\301\1\303\5\301\1\0\1\301\1\0\7\301"+
-    "\1\u06be\16\301\1\303\5\301\1\260\3\301\1\303\7\301"+
-    "\1\303\1\u026c\5\301\2\303\1\301\1\303\2\301\1\303"+
-    "\3\0\2\303\1\336\6\301\2\0\10\301\1\0\1\303"+
-    "\1\301\2\303\2\301\1\0\2\303\2\0\7\301\1\303"+
-    "\12\301\1\303\5\301\1\0\1\301\1\0\26\301\1\303"+
-    "\5\301\1\260\3\301\1\303\7\301\1\303\1\u026c\5\301"+
-    "\2\303\1\301\1\303\2\u06bf\1\303\3\0\2\303\1\336"+
-    "\6\301\2\0\10\301\1\0\1\303\1\301\2\303\2\301"+
-    "\1\0\2\303\2\0\7\301\1\303\5\301\1\u06c0\4\301"+
-    "\1\303\4\301\1\u0634\1\0\1\301\1\0\14\301\1\u06c0"+
-    "\11\301\1\303\5\301\1\u0635\3\301";
-
-  private static final String ZZ_TRANS_PACKED_3 =
-    "\1\303\7\301\1\303\1\u026c\5\301\2\303\1\301\1\303"+
-    "\2\301\1\303\1\0\2\u0636\2\303\1\336\6\301\2\0"+
-    "\10\301\1\0\1\303\1\301\2\303\2\301\1\0\2\303"+
-    "\2\0\7\301\1\303\12\301\1\303\5\301\1\0\1\301"+
-    "\1\0\26\301\1\303\5\301\1\260\3\301\1\303\7\301"+
-    "\1\303\1\u026c\5\301\2\303\1\301\1\303\2\u0632\1\303"+
-    "\3\0\2\303\1\336\6\301\2\0\10\301\1\0\1\303"+
-    "\1\301\2\303\2\301\1\0\2\303\2\0\3\301\1\u062d"+
-    "\3\301\1\303\12\301\1\303\1\u06c1\1\u06c2\3\301\1\0"+
-    "\1\301\1\0\4\301\1\u062d\13\301\1\u06c1\1\u06c2\4\301"+
-    "\1\303\5\301\1\260\3\301\1\303\7\301\1\303\1\u026c"+
-    "\5\301\2\303\1\301\1\303\2\301\1\303\3\0\2\303"+
-    "\1\336\6\301\2\0\10\301\1\0\1\303\1\301\2\303"+
-    "\2\301\1\0\2\303\2\0\4\301\1\u062d\2\301\1\303"+
-    "\12\301\1\303\5\301\1\0\1\301\1\0\5\301\1\u062d"+
-    "\20\301\1\303\5\301\1\260\3\301\1\303\7\301\1\303"+
-    "\1\u026c\5\301\2\303\1\301\1\303\2\301\1\303\3\0"+
-    "\2\303\1\336\6\301\2\0\10\301\1\0\1\303\1\301"+
-    "\2\303\2\301\1\0\2\303\2\0\7\301\1\303\7\301"+
-    "\1\u0639\2\301\1\303\1\301\1\u0632\3\301\1\0\1\301"+
-    "\1\0\16\301\1\u0639\2\301\1\u0632\4\301\1\303\5\301"+
-    "\1\260\3\301\1\303\7\301\1\303\1\u026c\5\301\2\303"+
-    "\1\301\1\303\2\301\1\303\3\0\2\303\1\336\6\301"+
-    "\2\0\10\301\1\0\1\303\1\301\2\303\2\301\1\0"+
-    "\2\303\2\0\5\301\1\u06bc\1\301\1\303\12\301\1\303"+
-    "\5\301\1\0\1\301\1\0\6\301\1\u06bc\17\301\1\303"+
-    "\5\301\1\260\3\301\1\303\7\301\1\303\1\u026c\5\301"+
-    "\2\303\1\301\1\303\2\301\1\303\3\0\2\303\1\336"+
-    "\6\301\2\0\10\301\1\0\1\303\1\301\2\303\2\301"+
-    "\1\0\2\303\2\0\7\301\1\303\5\301\1\u0632\4\301"+
-    "\1\303\5\301\1\0\1\301\1\0\14\301\1\u0632\11\301"+
-    "\1\303\5\301\1\260\3\301\1\303\7\301\1\303\1\u026c"+
-    "\5\301\2\303\1\301\1\303\2\301\1\303\3\0\2\303"+
-    "\1\336\6\301\2\0\10\301\1\0\1\303\1\301\2\303"+
-    "\2\301\1\0\2\303\2\0\7\301\1\303\5\301\1\u06c3"+
-    "\4\301\1\303\5\301\1\0\1\301\1\0\14\301\1\u06c3"+
-    "\11\301\1\303\5\301\1\260\3\301\1\303\7\301\1\303"+
-    "\1\u026c\5\301\2\303\1\301\1\303\2\301\1\303\3\0"+
-    "\2\303\1\336\6\301\2\0\10\301\1\0\1\303\1\301"+
-    "\2\303\2\301\1\0\2\303\2\0\3\301\1\u062d\3\301"+
-    "\1\303\12\301\1\303\1\u06c4\1\u06c5\3\301\1\0\1\301"+
-    "\1\0\4\301\1\u062d\13\301\1\u06c4\1\u06c5\4\301\1\303"+
-    "\5\301\1\260\3\301\1\303\7\301\1\303\1\u026c\5\301"+
-    "\2\303\1\301\1\303\2\301\1\303\3\0\2\303\1\336"+
-    "\6\301\2\0\10\301\1\0\1\303\1\301\2\303\1\301"+
-    "\1\260\5\0\7\260\1\0\4\260\1\u064d\5\260\1\0"+
-    "\5\260\1\0\1\260\1\0\13\260\1\u064d\12\260\1\0"+
-    "\11\260\1\0\7\260\1\0\1\261\5\260\2\0\1\260"+
-    "\1\0\2\260\6\0\7\260\2\0\10\260\2\0\1\260"+
-    "\2\0\2\260\5\0\7\260\1\0\2\260\1\u064d\7\260"+
-    "\1\0\5\260\1\0\1\260\1\0\11\260\1\u064d\14\260"+
-    "\1\0\11\260\1\0\7\260\1\0\1\261\5\260\2\0"+
-    "\1\260\1\0\2\260\6\0\7\260\2\0\10\260\2\0"+
-    "\1\260\2\0\2\260\5\0\6\260\1\u06c6\1\0\12\260"+
-    "\1\0\5\260\1\0\1\260\1\0\7\260\1\u06c6\16\260"+
-    "\1\0\11\260\1\0\7\260\1\0\1\261\5\260\2\0"+
-    "\1\260\1\0\2\260\6\0\7\260\2\0\10\260\2\0"+
-    "\1\260\2\0\2\260\5\0\7\260\1\0\12\260\1\0"+
-    "\5\260\1\0\1\260\1\0\26\260\1\0\11\260\1\0"+
-    "\7\260\1\0\1\u06c7\5\260\2\0\1\260\1\0\2\260"+
-    "\6\0\7\260\2\0\10\260\2\0\1\260\2\0\2\260"+
-    "\5\0\7\260\1\0\5\260\1\u0651\4\260\1\0\5\260"+
-    "\1\0\1\260\1\0\14\260\1\u0651\11\260\1\0\11\260"+
-    "\1\0\7\260\1\0\1\261\5\260\2\0\1\260\1\0"+
-    "\2\260\6\0\7\260\2\0\10\260\2\0\1\260\2\0"+
-    "\2\260\5\0\2\260\1\u06c8\4\260\1\0\12\260\1\0"+
-    "\5\260\1\0\1\260\1\0\3\260\1\u06c8\22\260\1\0"+
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-    "\2\303\2\0\6\301\1\u07a8\1\303\12\301\1\303\5\301"+
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-    "\6\0\7\260\2\0\10\260\2\0\1\260\2\0\2\260"+
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-    "\6\0\7\260\2\0\10\260\2\0\1\260\2\0\1\260"+
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-    "\1\0\2\303\2\0\3\303\1\u07bc\24\303\1\0\1\303"+
-    "\1\0\4\303\1\u07bc\27\303\1\0\31\303\3\0\2\303"+
-    "\1\u012f\6\303\2\0\10\303\1\0\6\303\1\0\2\303"+
-    "\2\0\25\303\1\u0751\2\303\1\0\1\303\1\0\22\303"+
-    "\1\u0751\11\303\1\0\31\303\3\0\2\303\1\u012f\6\303"+
-    "\2\0\10\303\1\0\6\303\1\0\2\303\2\0\13\303"+
-    "\1\u07bd\14\303\1\0\1\303\1\0\12\303\1\u07bd\21\303"+
-    "\1\0\31\303\3\0\2\303\1\u012f\6\303\2\0\10\303"+
-    "\1\0\6\303\1\0\2\303\2\0\13\303\1\u0781\14\303"+
-    "\1\0\1\303\1\0\12\303\1\u0781\21\303\1\0\31\303"+
-    "\3\0\2\303\1\u012f\6\303\2\0\10\303\1\0\5\303";
-
-  private static int [] zzUnpackTrans() {
-    int [] result = new int[211715];
-    int offset = 0;
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_0, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_1, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_2, offset, result);
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_3, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackTrans(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      value--;
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-
-  /* error codes */
-  private static final int ZZ_UNKNOWN_ERROR = 0;
-  private static final int ZZ_NO_MATCH = 1;
-  private static final int ZZ_PUSHBACK_2BIG = 2;
-
-  /* error messages for the codes above */
-  private static final String ZZ_ERROR_MSG[] = {
-    "Unkown internal scanner error",
-    "Error: could not match input",
-    "Error: pushback value was too large"
-  };
-
-  /**
-   * ZZ_ATTRIBUTE[aState] contains the attributes of state <code>aState</code>
-   */
-  private static final int [] ZZ_ATTRIBUTE = zzUnpackAttribute();
-
-  private static final String ZZ_ATTRIBUTE_PACKED_0 =
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-    "\1\11\7\1\1\11\5\1\1\11\11\1\1\0\1\1"+
-    "\3\0\1\1\56\0\1\1\1\11\27\0\16\1\1\0"+
-    "\1\1\1\0\3\1\2\0\1\1\1\0\1\11\1\0"+
-    "\1\1\2\0\4\1\1\0\12\1\1\0\10\1\1\0"+
-    "\2\1\1\0\5\1\3\0\20\1\1\0\5\1\1\0"+
-    "\1\1\2\0\2\1\1\0\1\1\2\0\3\1\3\0"+
-    "\1\1\4\0\6\1\1\0\1\1\1\0\3\1\1\0"+
-    "\1\1\3\0\11\1\4\0\15\1\1\0\12\1\1\0"+
-    "\30\1\1\0\5\1\1\0\11\1\1\0\4\1\5\0"+
-    "\1\1\2\0\4\1\1\0\2\1\4\0\4\1\6\0"+
-    "\1\1\1\0\1\11\3\0\10\1\1\0\7\1\1\0"+
-    "\1\1\1\0\1\1\5\0\30\1\1\0\1\11\1\0"+
-    "\3\1\4\0\3\1\3\0\1\1\1\0\3\1\1\0"+
-    "\3\1\1\0\1\1\111\0\1\1\17\0\1\11\17\0"+
-    "\1\1\3\0\1\1\4\0\1\1\4\0\1\1\1\0"+
-    "\3\1\1\0\5\1\1\0\1\1\1\0\1\1\4\0"+
-    "\1\1\4\0\3\1\4\0\1\1\1\0\2\1\4\0"+
-    "\1\1\2\0\6\1\3\0\10\1\1\0\4\1\1\0"+
-    "\1\1\2\0\1\1\1\0\1\1\2\0\6\1\1\0"+
-    "\1\1\2\0\7\1\2\0\1\1\2\0\1\1\1\0"+
-    "\3\1\3\0\2\1\1\0\4\1\1\0\1\1\4\0"+
-    "\3\1\2\0\4\1\1\0\11\1\1\0\10\1\1\0"+
-    "\12\1\1\0\21\1\1\0\1\1\2\0\2\1\2\0"+
-    "\1\1\1\0\4\1\10\0\1\1\2\0\1\11\1\1"+
-    "\1\11\2\0\2\1\1\11\1\1\6\0\1\1\1\0"+
-    "\5\1\1\0\5\1\1\0\1\11\15\1\1\0\5\1"+
-    "\4\0\2\1\2\0\4\1\2\0\3\1\1\0\5\1"+
-    "\1\0\4\1\40\0\1\1\2\0\1\11\3\0\1\1"+
-    "\11\0\1\1\1\0\1\1\12\0\1\11\6\0\1\11"+
-    "\1\0\1\11\24\0\6\1\1\0\5\1\6\0\1\1"+
-    "\1\11\3\1\11\0\5\1\2\0\2\1\1\0\1\1"+
-    "\4\0\4\1\1\0\2\1\3\0\2\1\1\0\1\1"+
-    "\4\0\1\1\3\0\1\1\3\0\2\1\2\0\1\1"+
-    "\5\0\5\1\1\0\1\1\1\0\1\1\1\0\11\1"+
-    "\1\0\7\1\1\0\3\1\1\0\2\1\4\0\1\1"+
-    "\4\0\1\1\2\0\10\1\5\0\1\1\1\0\1\11"+
-    "\1\1\1\0\1\1\1\0\3\1\1\0\3\1\1\0"+
-    "\1\1\3\0\2\1\1\0\5\1\4\0\2\1\1\0"+
-    "\5\1\1\0\2\1\1\0\1\1\1\0\5\1\2\0"+
-    "\4\1\6\0\2\1\22\0\1\1\4\0\1\1\1\0"+
-    "\1\11\12\0\2\1\5\0\1\11\4\1\2\0\3\1"+
-    "\1\0\1\1\1\0\2\1\3\0\1\1\10\0\1\1"+
-    "\2\0\1\1\1\0\1\1\3\0\1\1\2\0\2\1"+
-    "\1\0\1\1\1\0\1\1\1\0\1\1\1\0\1\1"+
-    "\1\0\3\1\4\0\12\1\1\0\4\1\1\0\6\1"+
-    "\1\0\4\1\3\0\1\1\6\0\1\1\1\11\2\0"+
-    "\1\1\1\11\1\0\1\1\6\0\1\1\6\0\2\1"+
-    "\1\0\2\1\1\0\2\1\1\0\3\1\1\0\5\1"+
-    "\1\0\1\1\30\0\2\1\1\11\1\1\12\0\2\1"+
-    "\50\0\6\1\2\0\1\1\6\0\1\1\1\0\1\1"+
-    "\1\0\1\1\1\0\3\1\1\0\3\1\3\0\6\1"+
-    "\1\0\3\1\1\0\7\1\1\0\1\1\1\0\1\1"+
-    "\6\0\1\1\10\0\2\1\2\0\5\1\1\0\2\1"+
-    "\1\0\1\11\2\1\1\0\1\1\14\0\2\1\7\0"+
-    "\2\1\1\0\1\1\13\0\2\1\1\11\100\0\3\1"+
-    "\2\0\2\1\6\0\3\1\1\0\11\1\1\0\5\1"+
-    "\1\0\1\1\3\0\1\1\3\0\1\1\4\0\2\1"+
-    "\7\0\1\1\62\0\2\1\5\0\2\1\4\0\2\1"+
-    "\4\0\2\1\1\11\1\0\1\1\3\0\2\1\1\0"+
-    "\2\1\11\0\1\1\17\0\2\1\2\0\1\1\16\0"+
-    "\7\1\23\0\1\1\2\0\1\1\10\0\1\1\21\0"+
-    "\5\1\22\0\2\1\2\0\1\1\16\0\3\1\15\0"+
-    "\1\1\1\11\2\1\33\0";
-
-  private static int [] zzUnpackAttribute() {
-    int [] result = new int[1981];
-    int offset = 0;
-    offset = zzUnpackAttribute(ZZ_ATTRIBUTE_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackAttribute(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-  /** the input device */
-  private java.io.Reader zzReader;
-
-  /** the current state of the DFA */
-  private int zzState;
-
-  /** the current lexical state */
-  private int zzLexicalState = YYINITIAL;
-
-  /** this buffer contains the current text to be matched and is
-      the source of the yytext() string */
-  private char zzBuffer[] = new char[ZZ_BUFFERSIZE];
-
-  /** the textposition at the last accepting state */
-  private int zzMarkedPos;
-
-  /** the current text position in the buffer */
-  private int zzCurrentPos;
-
-  /** startRead marks the beginning of the yytext() string in the buffer */
-  private int zzStartRead;
-
-  /** endRead marks the last character in the buffer, that has been read
-      from input */
-  private int zzEndRead;
-
-  /** number of newlines encountered up to the start of the matched text */
-  private int yyline;
-
-  /** the number of characters up to the start of the matched text */
-  private int yychar;
-
-  /**
-   * the number of characters from the last newline up to the start of the 
-   * matched text
-   */
-  private int yycolumn;
-
-  /** 
-   * zzAtBOL == true <=> the scanner is currently at the beginning of a line
-   */
-  private boolean zzAtBOL = true;
-
-  /** zzAtEOF == true <=> the scanner is at the EOF */
-  private boolean zzAtEOF;
-
-  /** denotes if the user-EOF-code has already been executed */
-  private boolean zzEOFDone;
-
-  /** For the backwards DFA of general lookahead statements */
-  private boolean [] zzFin = new boolean [ZZ_BUFFERSIZE+1];
-
-  /* user code: */
-
-  /**
-   * Constructs a new PTBLexer.  You specify the type of result tokens with a
-   * LexedTokenFactory, and can specify the treatment of tokens by boolean
-   * options given in a comma separated String
-   * (e.g., "invertible,normalizeParentheses=true").
-   * If the String is <code>null</code> or empty, you get the traditional
-   * PTB3 normalization behaviour (i.e., you get ptb3Escaping=false).  If you
-   * want no normalization, then you should pass in the String
-   * "ptb3Escaping=false".  The known option names are:
-   * <ol>
-   * <li>invertible: Store enough information about the original form of the
-   *     token and the whitespace around it that a list of tokens can be
-   *     faithfully converted back to the original String.  Valid only if the
-   *     LexedTokenFactory is an instance of CoreLabelTokenFactory.  The
-   *     keys used in it are TextAnnotation for the tokenized form,
-   *     OriginalTextAnnotation for the original string, BeforeAnnotation and
-   *     AfterAnnotation for the whitespace before and after a token, and
-   *     perhaps BeginPositionAnnotation and EndPositionAnnotation to record
-   *     token begin/after end offsets, if they were specified to be recorded
-   *     in TokenFactory construction.  (Like the String class, begin and end
-   *     are done so end - begin gives the token length.)
-   * <li>tokenizeNLs: Whether end-of-lines should become tokens (or just
-   *     be treated as part of whitespace)
-   * <li>ptb3Escaping: Enable all traditional PTB3 token transforms
-   *     (like -LRB-, -RRB-).  This is a macro flag that sets or clears all the
-   *     options below.
-   * <li>americanize: Whether to rewrite common British English spellings
-   *     as American English spellings
-   * <li>normalizeSpace: Whether any spaces in tokens (phone numbers, fractions
-   *     get turned into U+00A0 (non-breaking space).  It's dangerous to turn
-   *     this off for most of our Stanford NLP software, which assumes no
-   *     spaces in tokens.
-   * <li>normalizeAmpersandEntity: Whether to map the XML &amp;amp; to an
-   *      ampersand
-   * <li>normalizeCurrency: Whether to do some awful lossy currency mappings
-   *     to turn common currency characters into $, #, or "cents", reflecting
-   *     the fact that nothing else appears in the old PTB3 WSJ.  (No Euro!)
-   * <li>normalizeFractions: Whether to map certain common composed
-   *     fraction characters to spelled out letter forms like "1/2"
-   * <li>normalizeParentheses: Whether to map round parentheses to -LRB-,
-   *     -RRB-, as in the Penn Treebank
-   * <li>normalizeOtherBrackets: Whether to map other common bracket characters
-   *     to -LCB-, -LRB-, -RCB-, -RRB-, roughly as in the Penn Treebank
-   * <li>asciiQuotes Whether to map quote characters to the traditional ' and "
-   * <li>latexQuotes: Whether to map to ``, `, ', '' for quotes, as in Latex
-   *     and the PTB3 WSJ (though this is now heavily frowned on in Unicode).
-   *     If true, this takes precedence over the setting of unicodeQuotes;
-   *     if both are false, no mapping is done.
-   * <li>unicodeQuotes: Whether to map quotes to the range U+2018 to U+201D,
-   *     the preferred unicode encoding of single and double quotes.
-   * <li>ptb3Ellipsis: Whether to map ellipses to ..., the old PTB3 WSJ coding
-   *     of an ellipsis. If true, this takes precedence over the setting of
-   *     unicodeEllipsis; if both are false, no mapping is done.
-   * <li>unicodeEllipsis: Whether to map dot and optional space sequences to
-   *     U+2026, the Unicode ellipsis character
-   * <li>ptb3Dashes: Whether to turn various dash characters into "--",
-   *     the dominant encoding of dashes in the PTB3 WSJ
-   * <li>escapeForwardSlashAsterisk: Whether to put a backslash escape in front
-   *     of / and * as the old PTB3 WSJ does for some reason (something to do
-   *     with Lisp readers??).
-   * <li>untokenizable: What to do with untokenizable characters (ones not
-   *     known to the tokenizers).  Six options combining whether to log a
-   *     warning for none, the first, or all, and whether to delete them or
-   *     to include them as single character tokens in the output: noneDelete,
-   *     firstDelete, allDelete, noneKeep, firstKeep, allKeep.
-   *     The default is "firstDelete".
-   * <li>strictTreebank3: PTBTokenizer deliberately deviates from strict PTB3
-   *      WSJ tokenization in two cases.  Setting this improves compatibility
-   *      for those cases.  They are: (i) When an acronym is followed by a
-   *      sentence end, such as "U.S." at the end of a sentence, the PTB3
-   *      has tokens of "U.S" and ".", while by default PTBTokenzer duplicates
-   *      the period returning tokens of "U.S." and ".", and (ii) PTBTokenizer
-   *      will return numbers with a whole number and a fractional part like
-   *      "5 7/8" as a single token (with a non-breaking space in the middle),
-   *      while the PTB3 separates them into two tokens "5" and "7/8".
-   * </ol>
-   *
-   * @param r The Reader to tokenize text from
-   * @param tf The LexedTokenFactory that will be invoked to convert
-   *    each substring extracted by the lexer into some kind of Object
-   *    (such as a Word or CoreLabel).
-   */
-  public PTBLexer(Reader r, LexedTokenFactory<?> tf, String options) {
-    this(r);
-    this.tokenFactory = tf;
-    if (options == null) {
-      options = "";
-    }
-    Properties prop = StringUtils.stringToProperties(options);
-    Set<Map.Entry<Object,Object>> props = prop.entrySet();
-    for (Map.Entry<Object,Object> item : props) {
-      String key = (String) item.getKey();
-      String value = (String) item.getValue();
-      boolean val = Boolean.valueOf(value);
-      if ("".equals(key)) {
-        // allow an empty item
-      } else if ("invertible".equals(key)) {
-        invertible = val;
-      } else if ("tokenizeNLs".equals(key)) {
-        tokenizeNLs = val;
-      } else if ("ptb3Escaping".equals(key)) {
-        americanize = val;
-        normalizeSpace = val;
-        normalizeAmpersandEntity = val;
-        normalizeCurrency = val;
-        normalizeFractions = val;
-        normalizeParentheses = val;
-        normalizeOtherBrackets = val;
-        latexQuotes = val;
-        unicodeQuotes = val;
-        asciiQuotes = val;
-        ptb3Ellipsis = val;
-        unicodeEllipsis = val;
-        ptb3Dashes = val;
-        escapeForwardSlashAsterisk = val;
-      } else if ("americanize".equals(key)) {
-        americanize = val;
-      } else if ("normalizeSpace".equals(key)) {
-        normalizeSpace = val;
-      } else if ("normalizeAmpersandEntity".equals(key)) {
-        normalizeAmpersandEntity = val;
-      } else if ("normalizeCurrency".equals(key)) {
-        normalizeCurrency = val;
-      } else if ("normalizeFractions".equals(key)) {
-        normalizeFractions = val;
-      } else if ("normalizeParentheses".equals(key)) {
-        normalizeParentheses = val;
-      } else if ("normalizeOtherBrackets".equals(key)) {
-        normalizeOtherBrackets = val;
-      } else if ("latexQuotes".equals(key)) {
-        latexQuotes = val;
-      } else if ("unicodeQuotes".equals(key)) {
-        unicodeQuotes = val;
-        if (val) {
-          latexQuotes = false; // need to override default
-        }
-      } else if ("asciiQuotes".equals(key)) {
-        asciiQuotes = val;
-        if (val) {
-          latexQuotes = false; // need to override default
-          unicodeQuotes = false;
-        }
-      } else if ("ptb3Ellipsis".equals(key)) {
-        ptb3Ellipsis = val;
-      } else if ("unicodeEllipsis".equals(key)) {
-        unicodeEllipsis = val;
-      } else if ("ptb3Dashes".equals(key)) {
-        ptb3Dashes = val;
-      } else if ("escapeForwardSlashAsterisk".equals(key)) {
-        escapeForwardSlashAsterisk = val;
-      } else if ("untokenizable".equals(key)) {
-	if (value.equals("noneDelete")) {
-	  untokenizable = UntokenizableOptions.NONE_DELETE;
-	} else if (value.equals("firstDelete")) {
-	  untokenizable = UntokenizableOptions.FIRST_DELETE;
-	} else if (value.equals("allDelete")) {
-	  untokenizable = UntokenizableOptions.ALL_DELETE;
-	} else if (value.equals("noneKeep")) {
-	  untokenizable = UntokenizableOptions.NONE_KEEP;
-	} else if (value.equals("firstKeep")) {
-	  untokenizable = UntokenizableOptions.FIRST_KEEP;
-	} else if (value.equals("allKeep")) {
-	  untokenizable = UntokenizableOptions.ALL_KEEP;
-	} else {
-        throw new IllegalArgumentException("PTBLexer: Invalid option value in constructor: " + key + ": " + value);
-	}
-      } else if ("strictTreebank3".equals(key)) {
-        strictTreebank3 = val;
-      } else {
-        throw new IllegalArgumentException("PTBLexer: Invalid options key in constructor: " + key);
-      }
-    }
-    // this.seenUntokenizableCharacter = false; // unnecessary, it's default initialized
-    if (invertible) {
-      if ( ! (tf instanceof CoreLabelTokenFactory)) {
-        throw new IllegalArgumentException("PTBLexer: the invertible option requires a CoreLabelTokenFactory");
-      }
-      prevWord = (CoreLabel) tf.makeToken("", 0, 0);
-      prevWordAfter = new StringBuilder();
-    }
-    if (strictTreebank3) {
-      yybegin(YyStrictlyTreebank3);
-    } else {
-      yybegin(YyTraditionalTreebank3);
-    }
-  }
-
-
-  private static final Logger LOGGER = Logger.getLogger(PTBLexer.class.getName());
-
-  private LexedTokenFactory<?> tokenFactory;
-  private CoreLabel prevWord;
-  private StringBuilder prevWordAfter;
-  private boolean seenUntokenizableCharacter;
-  private enum UntokenizableOptions { NONE_DELETE, FIRST_DELETE, ALL_DELETE, NONE_KEEP, FIRST_KEEP, ALL_KEEP }
-  private UntokenizableOptions untokenizable = UntokenizableOptions.FIRST_DELETE;
-
-  /* Flags begin with historical ptb3Escaping behavior */
-  private boolean invertible;
-  private boolean tokenizeNLs;
-  private boolean americanize = true;
-  private boolean normalizeSpace = true;
-  private boolean normalizeAmpersandEntity = true;
-  private boolean normalizeCurrency = true;
-  private boolean normalizeFractions = true;
-  private boolean normalizeParentheses = true;
-  private boolean normalizeOtherBrackets = true;
-  private boolean latexQuotes = true;
-  private boolean unicodeQuotes;
-  private boolean asciiQuotes;
-  private boolean ptb3Ellipsis = true;
-  private boolean unicodeEllipsis;
-  private boolean ptb3Dashes = true;
-  private boolean escapeForwardSlashAsterisk = true;
-  private boolean strictTreebank3 = false;
-
-  /*
-   * This has now been extended to cover the main Windows CP1252 characters,
-   * at either their correct Unicode codepoints, or in their invalid
-   * positions as 8 bit chars inside the iso-8859 control region.
-   *
-   * ellipsis  	85  	0133  	2026  	8230
-   * single quote curly starting 	91 	0145 	2018 	8216
-   * single quote curly ending 	92 	0146 	2019 	8217
-   * double quote curly starting 	93 	0147 	201C 	8220
-   * double quote curly ending 	94 	0148 	201D 	8221
-   * en dash  	96  	0150  	2013  	8211
-   * em dash  	97  	0151  	2014  	8212
-   */
-
-  public static final String opendblquote = "``";
-  public static final String closedblquote = "''";
-  public static final String openparen = "-LRB-";
-  public static final String closeparen = "-RRB-";
-  public static final String openbrace = "-LCB-";
-  public static final String closebrace = "-RCB-";
-  public static final String ptbmdash = "--";
-  public static final String ptb3EllipsisStr = "...";
-  public static final String unicodeEllipsisStr = "\u2026";
-  /** For tokenizing carriage returns.  (JS) */
-  public static final String NEWLINE_TOKEN = "*NL*";
-
-
-  private Object normalizeFractions(final String in) {
-    String out = in;
-    if (normalizeFractions) {
-      if (escapeForwardSlashAsterisk) {
-        out = out.replaceAll("\u00BC", "1\\\\/4");
-        out = out.replaceAll("\u00BD", "1\\\\/2");
-        out = out.replaceAll("\u00BE", "3\\\\/4");
-        out = out.replaceAll("\u2153", "1\\\\/3");
-        out = out.replaceAll("\u2153", "2\\\\/3");
-     } else {
-        out = out.replaceAll("\u00BC", "1/4");
-        out = out.replaceAll("\u00BD", "1/2");
-        out = out.replaceAll("\u00BE", "3/4");
-        out = out.replaceAll("\u2153", "1/3");
-        out = out.replaceAll("\u2153", "2/3");
-      }
-    }
-    //  System.err.println("normalizeFractions="+normalizeFractions+", escapeForwardSlashAsterisk="+escapeForwardSlashAsterisk);
-    //  System.err.println("Mapped |"+in+"| to |" + out + "|.");
-    return getNext(out, in);
-  }
-
-  private static String removeSoftHyphens(String in) {
-    return in.replaceAll("\u00AD", "");
-  }
-
-  private static String normalizeCurrency(String in) {
-    String s1 = in;
-    s1 = s1.replaceAll("\u00A2", "cents");
-    s1 = s1.replaceAll("\u00A3", "#");  // historically used for pound in PTB3
-    s1 = s1.replaceAll("[\u0080\u00A4\u20A0\u20AC]", "\\$");  // Euro (ECU, generic currency)  -- no good translation!
-    return s1;
-  }
-
-  private static String latexQuotes(String in, boolean probablyLeft) {
-    String s1 = in;
-    if (probablyLeft) {
-      s1 = s1.replaceAll("&apos;|'", "`");
-      s1 = s1.replaceAll("\"|&quot;", "``");
-    } else {
-      s1 = s1.replaceAll("&apos;|'", "'");
-      s1 = s1.replaceAll("\"|&quot;", "''");
-    }
-    s1 = s1.replaceAll("[\u0091\u2018\u201B\u2039]", "`");
-    s1 = s1.replaceAll("[\u0092\u2019\u203A]", "'");
-    s1 = s1.replaceAll("[\u0093\u201C\u00AB]", "``");
-    s1 = s1.replaceAll("[\u0094\u201D\u00BB]", "''");
-    return s1;
-  }
-
-  private static String asciiQuotes(String in, boolean probablyLeft) {
-    String s1 = in;
-    s1 = s1.replaceAll("&apos;|[\u0091\u2018\u0092\u2019\u201A\u201B\u2039\u203A']", "'");
-    s1 = s1.replaceAll("&quot;|[\u0093\u201C\u0094\u201D\u201E\u00AB\u00BB\"]", "\"");
-    return s1;
-  }
-
-  private static String unicodeQuotes(String in, boolean probablyLeft) {
-    String s1 = in;
-    if (probablyLeft) {
-      s1 = s1.replaceAll("&apos;|'", "\u2018");
-      s1 = s1.replaceAll("\"|&quot;", "\u201c");
-    } else {
-      s1 = s1.replaceAll("&apos;|'", "\u2019");
-      s1 = s1.replaceAll("\"|&quot;", "\u201d");
-    }
-    s1 = s1.replaceAll("[\u0091\u2018]", "\u2018");
-    s1 = s1.replaceAll("[\u0092\u2019]", "\u2019");
-    s1 = s1.replaceAll("[\u0093\u201C]", "\u201c");
-    s1 = s1.replaceAll("[\u0094\u201D]", "\u201d");
-    return s1;
-  }
-
-  private Object handleQuotes(String tok, boolean probablyLeft) {
-    String normTok;
-    if (latexQuotes) {
-      normTok = latexQuotes(tok, probablyLeft);
-    } else if (unicodeQuotes) {
-      normTok = unicodeQuotes(tok, probablyLeft);
-    } else if (asciiQuotes) {
-      normTok = asciiQuotes(tok, probablyLeft);
-    } else {
-      normTok = tok;
-    }
-    return getNext(normTok, tok);
-  }
-
-  private Object handleEllipsis(final String tok) {
-    if (ptb3Ellipsis) {
-      return getNext(ptb3EllipsisStr, tok);
-    } else if (unicodeEllipsis) {
-      return getNext(unicodeEllipsisStr, tok);
-    } else {
-      return getNext(tok, tok);
-    }
-  }
-
-  /** This quotes a character with a backslash, but doesn't do it
-   *  if the character is already preceded by a backslash.
-   */
-  private static String delimit(String s, char c) {
-    int i = s.indexOf(c);
-    while (i != -1) {
-      if (i == 0 || s.charAt(i - 1) != '\\') {
-        s = s.substring(0, i) + '\\' + s.substring(i);
-        i = s.indexOf(c, i + 2);
-      } else {
-        i = s.indexOf(c, i + 1);
-      }
-    }
-    return s;
-  }
-
-  private static String normalizeAmp(final String in) {
-    return in.replaceAll("(?i:&amp;)", "&");
-  }
-
-  private Object getNext() {
-    final String txt = yytext();
-    return getNext(txt, txt);
-  }
-
-  /** Make the next token.
-   *  @param txt What the token should be
-   *  @param originalText The original String that got transformed into txt
-   */
-  private Object getNext(String txt, String originalText) {
-    if (invertible) {
-      String str = prevWordAfter.toString();
-      prevWordAfter.setLength(0);
-      CoreLabel word = (CoreLabel) tokenFactory.makeToken(txt, yychar, yylength());
-      word.set(OriginalTextAnnotation.class, originalText);
-      word.set(BeforeAnnotation.class, str);
-      prevWord.set(AfterAnnotation.class, str);
-      prevWord = word;
-      return word;
-    } else {
-      return tokenFactory.makeToken(txt, yychar, yylength());
-   }
-  }
-
-  private Object getNormalizedAmpNext() {
-    final String txt = yytext();
-    if (normalizeAmpersandEntity) {
-      return getNext(normalizeAmp(txt), txt);
-    } else {
-      return getNext();
-    }
-  }
-
-
-
-  /**
-   * Creates a new scanner
-   * There is also a java.io.InputStream version of this constructor.
-   *
-   * @param   in  the java.io.Reader to read input from.
-   */
-  PTBLexer(java.io.Reader in) {
-    this.zzReader = in;
-  }
-
-  /**
-   * Creates a new scanner.
-   * There is also java.io.Reader version of this constructor.
-   *
-   * @param   in  the java.io.Inputstream to read input from.
-   */
-  PTBLexer(java.io.InputStream in) {
-    this(new java.io.InputStreamReader(in));
-  }
-
-  /** 
-   * Unpacks the compressed character translation table.
-   *
-   * @param packed   the packed character translation table
-   * @return         the unpacked character translation table
-   */
-  private static char [] zzUnpackCMap(String packed) {
-    char [] map = new char[0x10000];
-    int i = 0;  /* index in packed string  */
-    int j = 0;  /* index in unpacked array */
-    while (i < 1718) {
-      int  count = packed.charAt(i++);
-      char value = packed.charAt(i++);
-      do map[j++] = value; while (--count > 0);
-    }
-    return map;
-  }
-
-
-  /**
-   * Refills the input buffer.
-   *
-   * @return      <code>false</code>, iff there was new input.
-   * 
-   * @exception   java.io.IOException  if any I/O-Error occurs
-   */
-  private boolean zzRefill() throws java.io.IOException {
-
-    /* first: make room (if you can) */
-    if (zzStartRead > 0) {
-      System.arraycopy(zzBuffer, zzStartRead,
-                       zzBuffer, 0,
-                       zzEndRead-zzStartRead);
-
-      /* translate stored positions */
-      zzEndRead-= zzStartRead;
-      zzCurrentPos-= zzStartRead;
-      zzMarkedPos-= zzStartRead;
-      zzStartRead = 0;
-    }
-
-    /* is the buffer big enough? */
-    if (zzCurrentPos >= zzBuffer.length) {
-      /* if not: blow it up */
-      char newBuffer[] = new char[zzCurrentPos*2];
-      System.arraycopy(zzBuffer, 0, newBuffer, 0, zzBuffer.length);
-      zzBuffer = newBuffer;
-    }
-
-    /* finally: fill the buffer with new input */
-    int numRead = zzReader.read(zzBuffer, zzEndRead,
-                                            zzBuffer.length-zzEndRead);
-
-    if (numRead > 0) {
-      zzEndRead+= numRead;
-      return false;
-    }
-    // unlikely but not impossible: read 0 characters, but not at end of stream    
-    if (numRead == 0) {
-      int c = zzReader.read();
-      if (c == -1) {
-        return true;
-      } else {
-        zzBuffer[zzEndRead++] = (char) c;
-        return false;
-      }     
-    }
-
-	// numRead < 0
-    return true;
-  }
-
-    
-  /**
-   * Closes the input stream.
-   */
-  public final void yyclose() throws java.io.IOException {
-    zzAtEOF = true;            /* indicate end of file */
-    zzEndRead = zzStartRead;  /* invalidate buffer    */
-
-    if (zzReader != null)
-      zzReader.close();
-  }
-
-
-  /**
-   * Resets the scanner to read from a new input stream.
-   * Does not close the old reader.
-   *
-   * All internal variables are reset, the old input stream 
-   * <b>cannot</b> be reused (internal buffer is discarded and lost).
-   * Lexical state is set to <tt>ZZ_INITIAL</tt>.
-   *
-   * @param reader   the new input stream 
-   */
-  public final void yyreset(java.io.Reader reader) {
-    zzReader = reader;
-    zzAtBOL  = true;
-    zzAtEOF  = false;
-    zzEOFDone = false;
-    zzEndRead = zzStartRead = 0;
-    zzCurrentPos = zzMarkedPos = 0;
-    yyline = yychar = yycolumn = 0;
-    zzLexicalState = YYINITIAL;
-  }
-
-
-  /**
-   * Returns the current lexical state.
-   */
-  public final int yystate() {
-    return zzLexicalState;
-  }
-
-
-  /**
-   * Enters a new lexical state
-   *
-   * @param newState the new lexical state
-   */
-  public final void yybegin(int newState) {
-    zzLexicalState = newState;
-  }
-
-
-  /**
-   * Returns the text matched by the current regular expression.
-   */
-  public final String yytext() {
-    return new String( zzBuffer, zzStartRead, zzMarkedPos-zzStartRead );
-  }
-
-
-  /**
-   * Returns the character at position <tt>pos</tt> from the 
-   * matched text. 
-   * 
-   * It is equivalent to yytext().charAt(pos), but faster
-   *
-   * @param pos the position of the character to fetch. 
-   *            A value from 0 to yylength()-1.
-   *
-   * @return the character at position pos
-   */
-  public final char yycharat(int pos) {
-    return zzBuffer[zzStartRead+pos];
-  }
-
-
-  /**
-   * Returns the length of the matched text region.
-   */
-  public final int yylength() {
-    return zzMarkedPos-zzStartRead;
-  }
-
-
-  /**
-   * Reports an error that occured while scanning.
-   *
-   * In a wellformed scanner (no or only correct usage of 
-   * yypushback(int) and a match-all fallback rule) this method 
-   * will only be called with things that "Can't Possibly Happen".
-   * If this method is called, something is seriously wrong
-   * (e.g. a JFlex bug producing a faulty scanner etc.).
-   *
-   * Usual syntax/scanner level error handling should be done
-   * in error fallback rules.
-   *
-   * @param   errorCode  the code of the errormessage to display
-   */
-  private void zzScanError(int errorCode) {
-    String message;
-    try {
-      message = ZZ_ERROR_MSG[errorCode];
-    }
-    catch (ArrayIndexOutOfBoundsException e) {
-      message = ZZ_ERROR_MSG[ZZ_UNKNOWN_ERROR];
-    }
-
-    throw new Error(message);
-  } 
-
-
-  /**
-   * Pushes the specified amount of characters back into the input stream.
-   *
-   * They will be read again by then next call of the scanning method
-   *
-   * @param number  the number of characters to be read again.
-   *                This number must not be greater than yylength()!
-   */
-  public void yypushback(int number)  {
-    if ( number > yylength() )
-      zzScanError(ZZ_PUSHBACK_2BIG);
-
-    zzMarkedPos -= number;
-  }
-
-
-  /**
-   * Resumes scanning until the next regular expression is matched,
-   * the end of input is encountered or an I/O-Error occurs.
-   *
-   * @return      the next token
-   * @exception   java.io.IOException  if any I/O-Error occurs
-   */
-  public Object next() throws java.io.IOException {
-    int zzInput;
-    int zzAction;
-
-    // cached fields:
-    int zzCurrentPosL;
-    int zzMarkedPosL;
-    int zzEndReadL = zzEndRead;
-    char [] zzBufferL = zzBuffer;
-    char [] zzCMapL = ZZ_CMAP;
-
-    int [] zzTransL = ZZ_TRANS;
-    int [] zzRowMapL = ZZ_ROWMAP;
-    int [] zzAttrL = ZZ_ATTRIBUTE;
-
-    while (true) {
-      zzMarkedPosL = zzMarkedPos;
-
-      yychar+= zzMarkedPosL-zzStartRead;
-
-      zzAction = -1;
-
-      zzCurrentPosL = zzCurrentPos = zzStartRead = zzMarkedPosL;
-  
-      zzState = ZZ_LEXSTATE[zzLexicalState];
-
-
-      zzForAction: {
-        while (true) {
-    
-          if (zzCurrentPosL < zzEndReadL)
-            zzInput = zzBufferL[zzCurrentPosL++];
-          else if (zzAtEOF) {
-            zzInput = YYEOF;
-            break zzForAction;
-          }
-          else {
-            // store back cached positions
-            zzCurrentPos  = zzCurrentPosL;
-            zzMarkedPos   = zzMarkedPosL;
-            boolean eof = zzRefill();
-            // get translated positions and possibly new buffer
-            zzCurrentPosL  = zzCurrentPos;
-            zzMarkedPosL   = zzMarkedPos;
-            zzBufferL      = zzBuffer;
-            zzEndReadL     = zzEndRead;
-            if (eof) {
-              zzInput = YYEOF;
-              break zzForAction;
-            }
-            else {
-              zzInput = zzBufferL[zzCurrentPosL++];
-            }
-          }
-          int zzNext = zzTransL[ zzRowMapL[zzState] + zzCMapL[zzInput] ];
-          if (zzNext == -1) break zzForAction;
-          zzState = zzNext;
-
-          int zzAttributes = zzAttrL[zzState];
-          if ( (zzAttributes & 1) == 1 ) {
-            zzAction = zzState;
-            zzMarkedPosL = zzCurrentPosL;
-            if ( (zzAttributes & 8) == 8 ) break zzForAction;
-          }
-
-        }
-      }
-
-      // store back cached position
-      zzMarkedPos = zzMarkedPosL;
-
-      switch (zzAction < 0 ? zzAction : ZZ_ACTION[zzAction]) {
-        case 30: 
-          // lookahead expression with fixed base length
-          zzMarkedPos = zzStartRead + 1;
-          { /* invert quote - often but not always right */
-		  return handleQuotes(yytext(), true);
-          }
-        case 43: break;
-        case 8: 
-          { if (ptb3Dashes) {
-                            return getNext(ptbmdash, yytext()); }
-                          else {
-                            return getNext();
-                          }
-          }
-        case 44: break;
-        case 19: 
-          { if (escapeForwardSlashAsterisk) {
-                    return getNext(delimit(yytext(), '*'), yytext()); }
-                  else {
-                    return getNext();
-                  }
-          }
-        case 45: break;
-        case 15: 
-          { return handleQuotes(yytext(), false);
-          }
-        case 46: break;
-        case 29: 
-          // lookahead expression with fixed lookahead length
-          yypushback(1);
-          { return handleQuotes(yytext(), false);
-          }
-        case 47: break;
-        case 12: 
-          { if (yylength() >= 3 && yylength() <= 4 && ptb3Dashes) {
-	            return getNext(ptbmdash, yytext());
-                  } else {
-                    return getNext();
-		  }
-          }
-        case 48: break;
-        case 38: 
-          // lookahead expression with fixed lookahead length
-          yypushback(1);
-          { return getNormalizedAmpNext();
-          }
-        case 49: break;
-        case 28: 
-          { return getNormalizedAmpNext();
-          }
-        case 50: break;
-        case 4: 
-          { return getNext();
-          }
-        case 51: break;
-        case 21: 
-          // lookahead expression with fixed lookahead length
-          yypushback(1);
-          { return getNext();
-          }
-        case 52: break;
-        case 33: 
-          // general lookahead, find correct zzMarkedPos
-          { int zzFState = 11;
-            int zzFPos = zzStartRead;
-            if (zzFin.length <= zzBufferL.length) { zzFin = new boolean[zzBufferL.length+1]; }
-            boolean zzFinL[] = zzFin;
-            while (zzFState != -1 && zzFPos < zzMarkedPos) {
-              if ((zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-              zzInput = zzBufferL[zzFPos++];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            }
-            if (zzFState != -1 && (zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-
-            zzFState = 12;
-            zzFPos = zzMarkedPos;
-            while (!zzFinL[zzFPos] || (zzAttrL[zzFState] & 1) != 1) {
-              zzInput = zzBufferL[--zzFPos];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            };
-            zzMarkedPos = zzFPos;
-          }
-          { return getNext();
-          }
-        case 53: break;
-        case 34: 
-          // general lookahead, find correct zzMarkedPos
-          { int zzFState = 13;
-            int zzFPos = zzStartRead;
-            if (zzFin.length <= zzBufferL.length) { zzFin = new boolean[zzBufferL.length+1]; }
-            boolean zzFinL[] = zzFin;
-            while (zzFState != -1 && zzFPos < zzMarkedPos) {
-              if ((zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-              zzInput = zzBufferL[zzFPos++];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            }
-            if (zzFState != -1 && (zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-
-            zzFState = 12;
-            zzFPos = zzMarkedPos;
-            while (!zzFinL[zzFPos] || (zzAttrL[zzFState] & 1) != 1) {
-              zzInput = zzBufferL[--zzFPos];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            };
-            zzMarkedPos = zzFPos;
-          }
-          { return getNext();
-          }
-        case 54: break;
-        case 40: 
-          { String txt = yytext();
-                          if (escapeForwardSlashAsterisk) {
-                            txt = delimit(txt, '/');
-                          }
-                          return getNext(txt, yytext());
-          }
-        case 55: break;
-        case 23: 
-          { final String origTxt = yytext();
-			  String txt = origTxt;
-       			  if (normalizeSpace) {
-			    txt = txt.replaceAll(" ", "\u00A0"); // change to non-breaking space
-			  }
-                          return getNext(txt, origTxt);
-          }
-        case 56: break;
-        case 6: 
-          { if (normalizeOtherBrackets) {
-                    return getNext(closeparen, yytext()); }
-                  else {
-                    return getNext();
-                  }
-          }
-        case 57: break;
-        case 26: 
-          // general lookahead, find correct zzMarkedPos
-          { int zzFState = 3;
-            int zzFPos = zzStartRead;
-            if (zzFin.length <= zzBufferL.length) { zzFin = new boolean[zzBufferL.length+1]; }
-            boolean zzFinL[] = zzFin;
-            while (zzFState != -1 && zzFPos < zzMarkedPos) {
-              if ((zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-              zzInput = zzBufferL[zzFPos++];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            }
-            if (zzFState != -1 && (zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-
-            zzFState = 4;
-            zzFPos = zzMarkedPos;
-            while (!zzFinL[zzFPos] || (zzAttrL[zzFState] & 1) != 1) {
-              zzInput = zzBufferL[--zzFPos];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            };
-            zzMarkedPos = zzFPos;
-          }
-          { final String origTxt = yytext();
-                          String tmp = removeSoftHyphens(origTxt);
-                          if (americanize) {
-                            tmp = Americanize.americanize(tmp);
-                          }
-                          return getNext(tmp, origTxt);
-          }
-        case 58: break;
-        case 16: 
-          { if (normalizeOtherBrackets) {
-                    return getNext(closebrace, yytext()); }
-                  else {
-                    return getNext();
-                  }
-          }
-        case 59: break;
-        case 24: 
-          { if (escapeForwardSlashAsterisk) {
-                            return getNext(delimit(yytext(), '/'), yytext());
-                          } else {
-                            return getNext();
-                          }
-          }
-        case 60: break;
-        case 18: 
-          { if (normalizeParentheses) {
-                    return getNext(closeparen, yytext()); }
-                  else {
-                    return getNext();
-                  }
-          }
-        case 61: break;
-        case 36: 
-          // general lookahead, find correct zzMarkedPos
-          { int zzFState = 9;
-            int zzFPos = zzStartRead;
-            if (zzFin.length <= zzBufferL.length) { zzFin = new boolean[zzBufferL.length+1]; }
-            boolean zzFinL[] = zzFin;
-            while (zzFState != -1 && zzFPos < zzMarkedPos) {
-              if ((zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-              zzInput = zzBufferL[zzFPos++];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            }
-            if (zzFState != -1 && (zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-
-            zzFState = 10;
-            zzFPos = zzMarkedPos;
-            while (!zzFinL[zzFPos] || (zzAttrL[zzFState] & 1) != 1) {
-              zzInput = zzBufferL[--zzFPos];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            };
-            zzMarkedPos = zzFPos;
-          }
-          { String s;
-                          if (strictTreebank3) {
-                            yypushback(1); // return a period for next time
-                            s = yytext();
-                          } else {
-                            s = yytext();
-                            yypushback(1); // return a period for next time
-                          }
-	                  return getNext(s, yytext());
-          }
-        case 62: break;
-        case 39: 
-          { yypushback(3) ; return getNext();
-          }
-        case 63: break;
-        case 22: 
-          // lookahead expression with fixed lookahead length
-          yypushback(1);
-          { return handleQuotes(yytext(), true);
-          }
-        case 64: break;
-        case 41: 
-          // general lookahead, find correct zzMarkedPos
-          { int zzFState = 7;
-            int zzFPos = zzStartRead;
-            if (zzFin.length <= zzBufferL.length) { zzFin = new boolean[zzBufferL.length+1]; }
-            boolean zzFinL[] = zzFin;
-            while (zzFState != -1 && zzFPos < zzMarkedPos) {
-              if ((zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-              zzInput = zzBufferL[zzFPos++];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            }
-            if (zzFState != -1 && (zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-
-            zzFState = 8;
-            zzFPos = zzMarkedPos;
-            while (!zzFinL[zzFPos] || (zzAttrL[zzFState] & 1) != 1) {
-              zzInput = zzBufferL[--zzFPos];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            };
-            zzMarkedPos = zzFPos;
-          }
-          { String s;
-                          // try to fight around an apparent jflex bug where it gets a space at the token
-                          // end by getting wrong the length of the trailing context.
-                          while (yylength() > 0) {
-			    char last = yycharat(yylength()-1);
-			    if (last == ' ' || last == '\t') {
-                              yypushback(1);
-                            } else {
-                              break;
-                            }
-                          }
-                          if (strictTreebank3) {
-                            yypushback(1); // return a period for next time
-                            s = yytext();
-                          } else {
-                            s = yytext();
-                            yypushback(1); // return a period for next time
-                          }
-                          return getNext(s, yytext());
-          }
-        case 65: break;
-        case 2: 
-          { if (normalizeOtherBrackets) {
-                    return getNext(openparen, yytext()); }
-                  else {
-                    return getNext();
-                  }
-          }
-        case 66: break;
-        case 32: 
-          // general lookahead, find correct zzMarkedPos
-          { int zzFState = 5;
-            int zzFPos = zzStartRead;
-            if (zzFin.length <= zzBufferL.length) { zzFin = new boolean[zzBufferL.length+1]; }
-            boolean zzFinL[] = zzFin;
-            while (zzFState != -1 && zzFPos < zzMarkedPos) {
-              if ((zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-              zzInput = zzBufferL[zzFPos++];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            }
-            if (zzFState != -1 && (zzAttrL[zzFState] & 1) == 1) { zzFinL[zzFPos] = true; } 
-
-            zzFState = 6;
-            zzFPos = zzMarkedPos;
-            while (!zzFinL[zzFPos] || (zzAttrL[zzFState] & 1) != 1) {
-              zzInput = zzBufferL[--zzFPos];
-              zzFState = zzTransL[ zzRowMapL[zzFState] + zzCMapL[zzInput] ];
-            };
-            zzMarkedPos = zzFPos;
-          }
-          { final String txt = yytext();
-                          return getNext(removeSoftHyphens(txt),
-                                         txt);
-          }
-        case 67: break;
-        case 20: 
-          { if (normalizeOtherBrackets) {
-                    return getNext(openbrace, yytext()); }
-                  else {
-                    return getNext();
-                  }
-          }
-        case 68: break;
-        case 17: 
-          { if (normalizeParentheses) {
-                    return getNext(openparen, yytext()); }
-                  else {
-                    return getNext();
-                  }
-          }
-        case 69: break;
-        case 11: 
-          { return handleEllipsis(yytext());
-          }
-        case 70: break;
-        case 13: 
-          { return normalizeFractions(yytext());
-          }
-        case 71: break;
-        case 14: 
-          { if (normalizeCurrency) {
-                            return getNext(normalizeCurrency(yytext()), yytext()); }
-                          else {
-                            return getNext();
-                          }
-          }
-        case 72: break;
-        case 10: 
-          { if (invertible) {
-                     prevWordAfter.append(yytext());
-                  }
-          }
-        case 73: break;
-        case 3: 
-          { if (escapeForwardSlashAsterisk) {
-                    return getNext(delimit(yytext(), '/'), yytext()); }
-                  else {
-                    return getNext();
-                  }
-          }
-        case 74: break;
-        case 37: 
-          // lookahead expression with fixed lookahead length
-          yypushback(1);
-          { return getNext(removeSoftHyphens(yytext()),
-                                               yytext());
-          }
-        case 75: break;
-        case 25: 
-          { return getNext(removeSoftHyphens(yytext()), yytext());
-          }
-        case 76: break;
-        case 31: 
-          { String txt = yytext();
-                  if (escapeForwardSlashAsterisk) {
-                    txt = delimit(txt, '/');
-                  }
-                  if (normalizeSpace) {
-                    txt = txt.replaceAll(" ", "\u00A0"); // change to non-breaking space
-                  }
-                  return getNext(txt, yytext());
-          }
-        case 77: break;
-        case 7: 
-          { final String origTxt = yytext();
-			  String tmp = removeSoftHyphens(origTxt);
-                          if (americanize) {
-                            tmp = Americanize.americanize(tmp);
-                          }
-                          return getNext(tmp, origTxt);
-          }
-        case 78: break;
-        case 42: 
-          { String txt = yytext();
-			  if (normalizeSpace) {
-			    txt = txt.replaceAll(" ", "\u00A0"); // change to non-breaking space
-			  }
-			  if (normalizeParentheses) {
-			    txt = txt.replaceAll("\\(", openparen);
-			    txt = txt.replaceAll("\\)", closeparen);
-			  }
-			  return getNext(txt, yytext());
-          }
-        case 79: break;
-        case 9: 
-          { return getNext(removeSoftHyphens(yytext()),
-                                         yytext());
-          }
-        case 80: break;
-        case 27: 
-          // lookahead expression with fixed lookahead length
-          yypushback(1);
-          { return getNext(removeSoftHyphens(yytext()),
-                                         yytext());
-          }
-        case 81: break;
-        case 1: 
-          { String str = yytext();
-          int first = str.charAt(0);
-          String msg = String.format("Untokenizable: %s (U+%s, decimal: %s)", yytext(), Integer.toHexString(first).toUpperCase(), Integer.toString(first));
-          switch (untokenizable) {
-            case NONE_DELETE:
-              if (invertible) {
-                prevWordAfter.append(str);
-              }
-              break;
-            case FIRST_DELETE:
-              if (invertible) {
-                prevWordAfter.append(str);
-              }
-              if ( ! this.seenUntokenizableCharacter) {
-                LOGGER.warning(msg);
-                this.seenUntokenizableCharacter = true;
-              }
-              break;
-            case ALL_DELETE:
-              if (invertible) {
-                prevWordAfter.append(str);
-              }
-              LOGGER.warning(msg);
-              this.seenUntokenizableCharacter = true;
-              break;
-            case NONE_KEEP:
-              return getNext();
-            case FIRST_KEEP:
-              if ( ! this.seenUntokenizableCharacter) {
-                LOGGER.warning(msg);
-                this.seenUntokenizableCharacter = true;
-              }
-              return getNext();
-            case ALL_KEEP:
-              LOGGER.warning(msg);
-              this.seenUntokenizableCharacter = true;
-              return getNext();
-          }
-          }
-        case 82: break;
-        case 5: 
-          { if (tokenizeNLs) {
-                      return getNext(NEWLINE_TOKEN, yytext()); // js: for tokenizing carriage returns
-                  } else if (invertible) {
-                      prevWordAfter.append(yytext());
-                  }
-          }
-        case 83: break;
-        case 35: 
-          { String txt = yytext();
-                          if (escapeForwardSlashAsterisk) {
-                            txt = delimit(txt, '/');
-                            txt = delimit(txt, '*');
-                          }
-                          return getNext(txt, yytext());
-          }
-        case 84: break;
-        default: 
-          if (zzInput == YYEOF && zzStartRead == zzCurrentPos) {
-            zzAtEOF = true;
-              {
-                if (invertible) { 
-            prevWordAfter.append(yytext()); 
-            String str = prevWordAfter.toString();
-            prevWordAfter.setLength(0);
-            prevWord.set(AfterAnnotation.class, str);
-          }
-          return null;
-              }
-          } 
-          else {
-            zzScanError(ZZ_NO_MATCH);
-          }
-      }
-    }
-  }
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/PTBTokenizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/PTBTokenizer.java
deleted file mode 100644
index 187d000..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/PTBTokenizer.java
+++ /dev/null
@@ -1,737 +0,0 @@
-package edu.stanford.nlp.process;
-
-// Stanford English Tokenizer -- a deterministic, fast high-quality tokenizer
-// Copyright (c) 2002-2009 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    java-nlp-support@lists.stanford.edu
-//    http://nlp.stanford.edu/software/
-
-
-import java.io.*;
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-import java.util.*;
-import java.util.regex.Pattern;
-
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;
-import edu.stanford.nlp.ling.Word;
-import edu.stanford.nlp.ling.HasWord;
-import edu.stanford.nlp.objectbank.TokenizerFactory;
-import edu.stanford.nlp.util.StringUtils;
-import edu.stanford.nlp.util.Timing;
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.io.RuntimeIOException;
-
-
-/**
- * Fast, rule-based tokenizer implementation, initially written to
- * conform to the Penn Treebank tokenization conventions, but now providing
- * a range of tokenization options over a broader space of Unicode text.
- * It reads raw text and outputs
- * tokens of classes that implement edu.stanford.nlp.trees.HasWord
- * (typically a Word or a CoreLabel). It can
- * optionally return end-of-line as a token.
- * <p>
- * New code is encouraged to use the {@link #PTBTokenizer(Reader,LexedTokenFactory,String)}
- * constructor. The other constructors are historical.
- * You specify the type of result tokens with a
- * LexedTokenFactory, and can specify the treatment of tokens by mainly boolean
- * options given in a comma separated String options
- * (e.g., "invertible,normalizeParentheses=true").
- * If the String is <code>null</code> or empty, you get the traditional
- * PTB3 normalization behaviour (i.e., you get ptb3Escaping=true).  If you
- * want no normalization, then you should pass in the String
- * "ptb3Escaping=false".  The known option names are:
- * <ol>
- * <li>invertible: Store enough information about the original form of the
- *     token and the whitespace around it that a list of tokens can be
- *     faithfully converted back to the original String.  Valid only if the
- *     LexedTokenFactory is an instance of CoreLabelTokenFactory.  The
- *     keys used in it are: TextAnnotation for the tokenized form,
- *     OriginalTextAnnotation for the original string, BeforeAnnotation and
- *     AfterAnnotation for the whitespace before and after a token, and
- *     perhaps CharacterOffsetBeginAnnotation and CharacterOffsetEndAnnotation to record
- *     token begin/after end character offsets, if they were specified to be recorded
- *     in TokenFactory construction.  (Like the String class, begin and end
- *     are done so end - begin gives the token length.)
- * <li>tokenizeNLs: Whether end-of-lines should become tokens (or just
- *     be treated as part of whitespace)
- * <li>ptb3Escaping: Enable all traditional PTB3 token transforms
- *     (like parentheses becoming -LRB-, -RRB-).  This is a macro flag that
- *     sets or clears all the options below.
- * <li>americanize: Whether to rewrite common British English spellings
- *     as American English spellings
- * <li>normalizeSpace: Whether any spaces in tokens (phone numbers, fractions
- *     get turned into U+00A0 (non-breaking space).  It's dangerous to turn
- *     this off for most of our Stanford NLP software, which assumes no
- *     spaces in tokens.
- * <li>normalizeAmpersandEntity: Whether to map the XML &amp;amp; to an
- *      ampersand
- * <li>normalizeCurrency: Whether to do some awful lossy currency mappings
- *     to turn common currency characters into $, #, or "cents", reflecting
- *     the fact that nothing else appears in the old PTB3 WSJ.  (No Euro!)
- * <li>normalizeFractions: Whether to map certain common composed
- *     fraction characters to spelled out letter forms like "1/2"
- * <li>normalizeParentheses: Whether to map round parentheses to -LRB-,
- *     -RRB-, as in the Penn Treebank
- * <li>normalizeOtherBrackets: Whether to map other common bracket characters
- *     to -LCB-, -LRB-, -RCB-, -RRB-, roughly as in the Penn Treebank
- * <li>asciiQuotes Whether to map quote characters to the traditional ' and "
- * <li>latexQuotes: Whether to map to ``, `, ', '' for quotes, as in Latex
- *     and the PTB3 WSJ (though this is now heavily frowned on in Unicode).
- *     If true, this takes precedence over the setting of unicodeQuotes;
- *     if both are false, no mapping is done.
- * <li>unicodeQuotes: Whether to map quotes to the range U+2018 to U+201D,
- *     the preferred unicode encoding of single and double quotes.
- * <li>ptb3Ellipsis: Whether to map ellipses to three dots (...), the old PTB3 WSJ coding
- *     of an ellipsis. If true, this takes precedence over the setting of
- *     unicodeEllipsis; if both are false, no mapping is done.
- * <li>unicodeEllipsis: Whether to map dot and optional space sequences to
- *     U+2026, the Unicode ellipsis character
- * <li>ptb3Dashes: Whether to turn various dash characters into "--",
- *     the dominant encoding of dashes in the PTB3 WSJ
- * <li>escapeForwardSlashAsterisk: Whether to put a backslash escape in front
- *     of / and * as the old PTB3 WSJ does for some reason (something to do
- *     with Lisp readers??).
- * <li>untokenizable: What to do with untokenizable characters (ones not
- *     known to the tokenizer).  Six options combining whether to log a
- *     warning for none, the first, or all, and whether to delete them or
- *     to include them as single character tokens in the output: noneDelete,
- *     firstDelete, allDelete, noneKeep, firstKeep, allKeep.
- *     The default is "firstDelete".
- * <li>strictTreebank3: PTBTokenizer deliberately deviates from strict PTB3
- *      WSJ tokenization in two cases.  Setting this improves compatibility
- *      for those cases.  They are: (i) When an acronym is followed by a
- *      sentence end, such as "U.S." at the end of a sentence, the PTB3
- *      has tokens of "U.S" and ".", while by default PTBTokenizer duplicates
- *      the period returning tokens of "U.S." and ".", and (ii) PTBTokenizer
- *      will return numbers with a whole number and a fractional part like
- *      "5 7/8" as a single token (with a non-breaking space in the middle),
- *      while the PTB3 separates them into two tokens "5" and "7/8".
- * </ol>
- *
- * @author Tim Grow (his tokenizer is a Java implementation of Professor
- *     Chris Manning's Flex tokenizer, pgtt-treebank.l)
- * @author Teg Grenager (grenager@stanford.edu)
- * @author Jenny Finkel (integrating in invertible PTB tokenizer)
- * @author Christopher Manning (redid API, added many options, maintenance)
- */
-public class PTBTokenizer<T extends HasWord> extends AbstractTokenizer<T> {
-
-  // the underlying lexer
-  private PTBLexer lexer;
-
-
-  /**
-   * Constructs a new PTBTokenizer that returns Word tokens and which treats
-   * carriage returns as normal whitespace.
-   *
-   * @param r The Reader whose contents will be tokenized
-   * @return A PTBTokenizer that tokenizes a stream to objects of type
-   *          {@link Word}
-   */
-  public static PTBTokenizer<Word> newPTBTokenizer(Reader r) {
-    return newPTBTokenizer(r, false);
-  }
-
-  /**
-   * Constructs a new PTBTokenizer that optionally returns newlines
-   * as their own token. NLs come back as Words whose text is
-   * the value of <code>PTBLexer.NEWLINE_TOKEN</code>.
-   *
-   * @param r The Reader to read tokens from
-   * @param tokenizeNLs Whether to return newlines as separate tokens
-   *         (otherwise they normally disappear as whitespace)
-   * @return A PTBTokenizer which returns Word tokens
-   */
-  public static PTBTokenizer<Word> newPTBTokenizer(Reader r, boolean tokenizeNLs) {
-    return new PTBTokenizer<Word>(r, tokenizeNLs, false, false, new WordTokenFactory());
-  }
-
-
-  /**
-   * Constructs a new PTBTokenizer that makes CoreLabel tokens.
-   * It optionally returns carriage returns
-   * as their own token. CRs come back as Words whose text is
-   * the value of <code>PTBLexer.NEWLINE_TOKEN</code>.
-   *
-   * @param r The Reader to read tokens from
-   * @param tokenizeNLs Whether to return newlines as separate tokens
-   *         (otherwise they normally disappear as whitespace)
-   * @param invertible if set to true, then will produce CoreLabels which
-   *         will have fields for the string before and after, and the
-   *         character offsets
-   * @return A PTBTokenizer which returns CoreLabel objects
-   */
-  public static PTBTokenizer<CoreLabel> newPTBTokenizer(Reader r, boolean tokenizeNLs, boolean invertible) {
-    return new PTBTokenizer<CoreLabel>(r, tokenizeNLs, invertible, false, new CoreLabelTokenFactory());
-  }
-
-
-  /**
-   * Constructs a new PTBTokenizer that optionally returns carriage returns
-   * as their own token, and has a custom LexedTokenFactory.
-   * If asked for, CRs come back as Words whose text is
-   * the value of <code>PTBLexer.cr</code>.  This constructor translates
-   * between the traditional boolean options of PTBTokenizer and the new
-   * options String.
-   *
-   * @param r The Reader to read tokens from
-   * @param tokenizeNLs Whether to return newlines as separate tokens
-   *         (otherwise they normally disappear as whitespace)
-   * @param invertible if set to true, then will produce CoreLabels which
-   *         will have fields for the string before and after, and the
-   *         character offsets
-   * @param suppressEscaping If true, all the traditional Penn Treebank
-   *         normalizations are turned off.  Otherwise, they all happen.
-   * @param tokenFactory The LexedTokenFactory to use to create
-   *         tokens from the text.
-   */
-  private PTBTokenizer(final Reader r,
-                       final boolean tokenizeNLs,
-                       final boolean invertible,
-                       final boolean suppressEscaping,
-                       final LexedTokenFactory<T> tokenFactory) {
-    StringBuilder options = new StringBuilder();
-    if (suppressEscaping) {
-      options.append("ptb3Escaping=false");
-    } else {
-      options.append("ptb3Escaping=true"); // i.e., turn on all the historical PTB normalizations
-    }
-    if (tokenizeNLs) {
-      options.append(",tokenizeNLs");
-    }
-    if (invertible) {
-      options.append(",invertible");
-    }
-    lexer = new PTBLexer(r, tokenFactory, options.toString());
-  }
-
-
-  /**
-   * Constructs a new PTBTokenizer with a custom LexedTokenFactory.
-   * Many options for tokenization and what is returned can be set via
-   * the options String. See the class documentation for details on
-   * the options String.  This is the new recommended constructor!
-   *
-   * @param r The Reader to read tokens from.
-   * @param tokenFactory The LexedTokenFactory to use to create
-   *         tokens from the text.
-   * @param options Options to the lexer.  See the extensive documentation
-   *         in the class javadoc.  The String may be null or empty,
-   *         which means that all traditional PTB normalizations are
-   *         done.  You can pass in "ptb3Escaping=false" and have no
-   *         normalizations done (that is, the behavior of the old
-   *         suppressEscaping=true option).
-   */
-  public PTBTokenizer(final Reader r,
-                      final LexedTokenFactory<T> tokenFactory,
-                      final String options) {
-    lexer = new PTBLexer(r, tokenFactory, options);
-  }
-
-
-  /**
-   * Internally fetches the next token.
-   *
-   * @return the next token in the token stream, or null if none exists.
-   */
-  @Override
-  @SuppressWarnings("unchecked")
-  protected T getNext() {
-    // if (lexer == null) {
-    //   return null;
-    // }
-    try {
-      return (T) lexer.next();
-    } catch (IOException e) {
-      throw new RuntimeIOException(e);
-    }
-    // cdm 2007: this shouldn't be necessary: PTBLexer decides for itself whether to return CRs based on the same flag!
-    // get rid of CRs if necessary
-    // while (!tokenizeNLs && PTBLexer.cr.equals(((HasWord) token).word())) {
-    //   token = (T)lexer.next();
-    // }
-
-    // horatio: we used to catch exceptions here, which led to broken
-    // behavior and made it very difficult to debug whatever the
-    // problem was.
-  }
-
-
-  /**
-   * Returns a presentable version of the given PTB-tokenized text.
-   * PTB tokenization splits up punctuation and does various other things
-   * that makes simply joining the tokens with spaces look bad. So join
-   * the tokens with space and run it through this method to produce nice
-   * looking text. It's not perfect, but it works pretty well.
-   *
-   * @param ptbText A String in PTB3-escaped form
-   * @return An approximation to the original String
-   */
-  public static String ptb2Text(String ptbText) {
-    StringBuilder sb = new StringBuilder(ptbText.length()); // probably an overestimate
-    PTB2TextLexer lexer = new PTB2TextLexer(new StringReader(ptbText));
-    try {
-      for (String token; (token = lexer.next()) != null; ) {
-        sb.append(token);
-      }
-    } catch (IOException e) {
-      e.printStackTrace();
-    }
-    return sb.toString();
-  }
-
-  /**
-   * Returns a presentable version of a given PTB token. For instance,
-   * it transforms -LRB- into (.
-   */
-  public static String ptbToken2Text(String ptbText) {
-    return ptb2Text(' ' + ptbText + ' ').trim();
-  }
-
-  /**
-   * Writes a presentable version of the given PTB-tokenized text.
-   * PTB tokenization splits up punctuation and does various other things
-   * that makes simply joining the tokens with spaces look bad. So join
-   * the tokens with space and run it through this method to produce nice
-   * looking text. It's not perfect, but it works pretty well.
-   */
-  public static int ptb2Text(Reader ptbText, Writer w) throws IOException {
-    int numTokens = 0;
-    PTB2TextLexer lexer = new PTB2TextLexer(ptbText);
-    for (String token; (token = lexer.next()) != null; ) {
-      numTokens++;
-      w.write(token);
-    }
-    return numTokens;
-  }
-
-  private static void untok(List<String> inputFileList, List<String> outputFileList, String charset) throws IOException {
-    Timing t = new Timing();
-    int numTokens = 0;
-    int sz = inputFileList.size();
-    if (sz == 0) {
-      Reader r = new InputStreamReader(System.in, charset);
-      PrintWriter out = new PrintWriter(System.out, true);
-      numTokens = ptb2Text(r, out);
-      out.close();
-    } else {
-      for (int j = 0; j < sz; j++) {
-        Reader r = IOUtils.readReaderFromString(inputFileList.get(j), charset);
-        PrintWriter out;
-        if (outputFileList == null) {
-          out = new PrintWriter(System.out, true);
-        } else {
-          out = new PrintWriter(new BufferedWriter(new OutputStreamWriter(new FileOutputStream(outputFileList.get(j)), charset)), true);
-        }
-        numTokens += ptb2Text(r, out);
-        out.close();
-      }
-    }
-    long millis = t.stop();
-    double wordspersec = numTokens / (((double) millis) / 1000);
-    NumberFormat nf = new DecimalFormat("0.00"); // easier way!
-    System.err.println("PTBTokenizer untokenized " + numTokens + " tokens at " +
-                       nf.format(wordspersec) + " tokens per second.");
-  }
-
-  /**
-   * Returns a presentable version of the given PTB-tokenized words.
-   * Pass in a List of Strings and this method will
-   * join the words with spaces and call {@link #ptb2Text(String)} on the
-   * output.
-   *
-   * @param ptbWords A list of String
-   * @return A presentable version of the given PTB-tokenized words
-   */
-  public static String ptb2Text(List<String> ptbWords) {
-    return ptb2Text(StringUtils.join(ptbWords));
-  }
-
-
-  /**
-   * Returns a presentable version of the given PTB-tokenized words.
-   * Pass in a List of Words or a Document and this method will
-   * join the words with spaces and call {@link #ptb2Text(String)} on the
-   * output. This method will take the word() values to prevent additional
-   * text from creeping in (e.g., POS tags).
-   *
-   * @param ptbWords A list of HasWord objects
-   * @return A presentable version of the given PTB-tokenized words
-   */
-  public static String labelList2Text(List<? extends HasWord> ptbWords) {
-    List<String> words = new ArrayList<String>();
-    for (HasWord hw : ptbWords) {
-      words.add(hw.word());
-    }
-
-    return ptb2Text(words);
-  }
-
-
-  private static void tok(List<String> inputFileList, List<String> outputFileList, String charset, Pattern parseInsideBegin, Pattern parseInsideEnd, String options, boolean preserveLines, boolean dump, boolean lowerCase) throws IOException {
-    Timing t = new Timing();
-    int numTokens = 0;
-    int sz = inputFileList.size();
-    if (sz == 0) {
-      BufferedReader stdin =
-        new BufferedReader(new InputStreamReader(System.in, charset));
-      PrintWriter out = new PrintWriter(new OutputStreamWriter(System.out, charset), true);
-      String line;
-      while ((line = stdin.readLine()) != null) {
-        numTokens += tokReader(new StringReader(line), out, parseInsideBegin, parseInsideEnd, options, preserveLines, dump, lowerCase);
-      }
-      IOUtils.closeIgnoringExceptions(out);
-    } else {
-      for (int j = 0; j < sz; j++) {
-        Reader r = IOUtils.readReaderFromString(inputFileList.get(j), charset);
-        PrintWriter out;
-        if (outputFileList == null) {
-          out = new PrintWriter(System.out, true);
-        } else {
-          out = new PrintWriter(new BufferedWriter(new OutputStreamWriter(new FileOutputStream(outputFileList.get(j)), charset)), true);
-        }
-
-        numTokens += tokReader(r, out, parseInsideBegin, parseInsideEnd, options, preserveLines, dump, lowerCase);
-        r.close();
-        if (outputFileList != null) out.close();
-      } // end for j going through inputFileList
-    }
-    long millis = t.stop();
-    double wordspersec = numTokens / (((double) millis) / 1000);
-    NumberFormat nf = new DecimalFormat("0.00"); // easier way!
-    System.err.println("PTBTokenizer tokenized " + numTokens + " tokens at " +
-                       nf.format(wordspersec) + " tokens per second.");
-  }
-
-  private static int tokReader(Reader r, PrintWriter out, Pattern parseInsideBegin, Pattern parseInsideEnd, String options, boolean preserveLines, boolean dump, boolean lowerCase) {
-    int numTokens = 0;
-    PTBTokenizer<CoreLabel> tokenizer = new PTBTokenizer<CoreLabel>(r, new CoreLabelTokenFactory(), options);
-    boolean printing = parseInsideBegin == null; // start off printing, unless you're looking for a start entity
-    boolean beginLine = true;
-    while (tokenizer.hasNext()) {
-      CoreLabel obj = tokenizer.next();
-      String str = obj.get(TextAnnotation.class);
-      if (lowerCase) {
-        str = str.toLowerCase(Locale.ENGLISH);
-        obj.set(TextAnnotation.class, str);
-      }
-      if (parseInsideBegin != null && parseInsideBegin.matcher(str).matches()) {
-        printing = true;
-      } else if (parseInsideEnd != null && parseInsideEnd.matcher(str).matches()) {
-        printing = false;
-      } else if (printing) {
-        if (dump) {
-          // after having checked for tags, change str to be exhaustive
-          str = obj.toString();
-        }
-        if (preserveLines) {
-          if (PTBLexer.NEWLINE_TOKEN.equals(str)) {
-            beginLine = true;
-            out.println();
-          } else {
-            if ( ! beginLine) {
-              out.print(" ");
-            } else {
-              beginLine = false;
-            }
-            out.print(str);
-          }
-        } else {
-          out.println(str);
-        }
-      }
-      numTokens++;
-    }
-    return numTokens;
-  }
-
-
-  public static TokenizerFactory<Word> factory() {
-    return PTBTokenizerFactory.newTokenizerFactory();
-  }
-
-
-  public static <T extends HasWord> TokenizerFactory<T> factory(boolean tokenizeNLs, LexedTokenFactory<T> factory) {
-    return new PTBTokenizerFactory<T>(tokenizeNLs, false, false, factory);
-  }
-
-  public static TokenizerFactory<CoreLabel> factory(boolean tokenizeNLs, boolean invertible) {
-    return PTBTokenizerFactory.newPTBTokenizerFactory(tokenizeNLs, invertible);
-  }
-
-
-  /** Get a TokenizerFactory that does Penn Treebank tokenization.
-   *  This is now the recommended factory method to use.
-   *
-   * @param factory A TokenFactory that determines what form of token is returned by the Tokenizer
-   * @param options A String specifying options (see the class javadoc for details)
-   * @param <T> The type of the tokens built by the LexedTokenFactory
-   * @return A TokenizerFactory that does Penn Treebank tokenization
-   */
-  public static <T extends HasWord> TokenizerFactory<T> factory(LexedTokenFactory<T> factory, String options) {
-    return new PTBTokenizerFactory<T>(factory, options);
-
-  }
-
-
-  /** This class provides a factory which will vend instances of PTBTokenizer
-   *  which wrap a provided Reader.  See the documentation for
-   *  {@link PTBTokenizer} for details of the parameters and options.
-   *
-   *  @see PTBTokenizer
-   *  @param <T> The class of the returned tokens
-   */
-  public static class PTBTokenizerFactory<T extends HasWord> implements TokenizerFactory<T> {
-
-    protected LexedTokenFactory<T> factory;
-    protected String options;
-
-
-    /**
-     * Constructs a new TokenizerFactory that returns Word objects and
-     * treats carriage returns as normal whitespace.
-     * THIS METHOD IS INVOKED BY REFLECTION BY SOME OF THE JAVANLP
-     * CODE TO LOAD A TOKENIZER FACTORY.  IT SHOULD BE PRESENT IN A
-     * TokenizerFactory.
-     *
-     * @return A TokenizerFactory that returns Word objects
-     */
-    public static TokenizerFactory<Word> newTokenizerFactory() {
-      return newPTBTokenizerFactory(new WordTokenFactory(), "");
-    }
-
-    /**
-     * Constructs a new PTBTokenizer that optionally returns carriage returns
-     * as their own token.
-     *
-     * @param tokenizeNLs If true, newlines come back as Words whose text is
-     *    the value of <code>PTBLexer.NEWLINE_TOKEN</code>.
-     * @return A TokenizerFactory that returns Word objects
-     */
-    public static PTBTokenizerFactory<Word> newPTBTokenizerFactory(boolean tokenizeNLs) {
-      return new PTBTokenizerFactory<Word>(tokenizeNLs, false, false, new WordTokenFactory());
-    }
-
-    /**
-     * Constructs a new PTBTokenizer that returns Word objects and
-     * uses the options passed in.
-     *
-     * @param options A String of options
-     * @return A TokenizerFactory that returns Word objects
-     */
-    public static PTBTokenizerFactory<Word> newWordTokenizerFactory(String options) {
-      return new PTBTokenizerFactory<Word>(new WordTokenFactory(), options);
-    }
-
-    /**
-     * Constructs a new PTBTokenizer that returns CoreLabel objects and
-     * uses the options passed in.
-     *
-     * @param options A String of options
-     * @return A TokenizerFactory that returns CoreLabel objects o
-     */
-    public static PTBTokenizerFactory<CoreLabel> newCoreLabelTokenizerFactory(String options) {
-      return new PTBTokenizerFactory<CoreLabel>(new CoreLabelTokenFactory(), options);
-    }
-
-    /**
-     * Constructs a new PTBTokenizer that uses the LexedTokenFactory and
-     * options passed in.
-     *
-     * @param tokenFactory The LexedTokenFactory
-     * @param options A String of options
-     * @return A TokenizerFactory that returns objects of the type of the
-     *         LexedTokenFactory
-     */
-    public static <T extends HasWord> PTBTokenizerFactory<T> newPTBTokenizerFactory(LexedTokenFactory<T> tokenFactory, String options) {
-      return new PTBTokenizerFactory<T>(tokenFactory, options);
-    }
-
-    public static PTBTokenizerFactory<CoreLabel> newPTBTokenizerFactory(boolean tokenizeNLs, boolean invertible) {
-      return new PTBTokenizerFactory<CoreLabel>(tokenizeNLs, invertible, false, new CoreLabelTokenFactory());
-    }
-
-
-    // Constructors
-
-    private PTBTokenizerFactory(boolean tokenizeNLs, boolean invertible, boolean suppressEscaping, LexedTokenFactory<T> factory) {
-      this.factory = factory;
-      StringBuilder optionsSB = new StringBuilder();
-      if (suppressEscaping) {
-        optionsSB.append("ptb3Escaping=false");
-      } else {
-        optionsSB.append("ptb3Escaping=true"); // i.e., turn on all the historical PTB normalizations
-      }
-      if (tokenizeNLs) {
-        optionsSB.append(",tokenizeNLs");
-      }
-      if (invertible) {
-        optionsSB.append(",invertible");
-      }
-      this.options = optionsSB.toString();
-    }
-
-
-    private PTBTokenizerFactory(LexedTokenFactory<T> tokenFactory, String options) {
-      this.factory = tokenFactory;
-      this.options = options;
-    }
-
-
-    /** Returns a tokenizer wrapping the given Reader. */
-    public Iterator<T> getIterator(Reader r) {
-      return getTokenizer(r);
-    }
-
-    /** Returns a tokenizer wrapping the given Reader. */
-    public Tokenizer<T> getTokenizer(Reader r) {
-      return new PTBTokenizer<T>(r, factory, options);
-    }
-
-    public void setOptions(String options) {
-      this.options = options;
-    }
-  } // end static class PTBTokenizerFactory
-
-
-  /**
-   * Reads files named as arguments and print their tokens, by default as
-   * one per line.  This is useful either for testing or to run
-   * standalone to turn a corpus into a one-token-per-line file of tokens.
-   * This main method assumes that the input file is in utf-8 encoding,
-   * unless it is specified.
-   * <p/>
-   * Usage: <code>
-   * java edu.stanford.nlp.process.PTBTokenizer [options] filename+
-   * </code>
-   * <p/>
-   * Options:
-   * <ul>
-   * <li> -options options Set various tokenization options
-   *       (see the documentation in the class javadoc)
-   * <li> -preserveLines Produce space-separated tokens, except
-   *       when the original had a line break, not one-token-per-line
-   * <li> -encoding encoding Specifies a character encoding
-   * <li> -lowerCase Lowercase all tokens (on tokenization)
-   * <li> -parseInside regex Names an XML-style tag or a regular expression
-   *      over such elements.  The tokenizer will only tokenize inside element
-   *      that match this name.  (This is done by regex matching, not an XML
-   *      parser, but works well for simple XML documents, or other SGML-style
-   *      documents, such as Linguistic Data Consortium releases, which adopt
-   *      the convention that a line of a file is either XML markup or
-   *      character data but never both.)
-   * <li> -ioFileList file* The remaining command-line arguments are treated as
-   *      filenames that themselves contain lists of pairs of input-output
-   *      filenames (2 column, whitespace separated).
-   * <li> -dump Print the whole of each CoreLabel, not just the value (word)
-   * <li> -untok Heuristically untokenize tokenized text
-   * <li> -h Print usage info
-   * </ul>
-   *
-   * @param args Command line arguments
-   * @throws IOException If any file I/O problem
-   */
-  public static void main(String[] args) throws IOException {
-    int i = 0;
-    String charset = "utf-8";
-    Pattern parseInsideBegin = null;
-    Pattern parseInsideEnd = null;
-    StringBuilder optionsSB = new StringBuilder();
-    boolean preserveLines = false;
-    boolean inputOutputFileList = false;
-    boolean dump = false;
-    boolean untok = false;
-    boolean lowerCase = false;
-
-    while (i < args.length && args[i].charAt(0) == '-') {
-      if ("-options".equals(args[i])) {
-        i++;
-        optionsSB.append(',');
-        optionsSB.append(args[i]);
-      } else if ("-preserveLines".equals(args[i])) {
-        optionsSB.append(",tokenizeNLs");
-        preserveLines = true;
-      } else if ("-lowerCase".equals(args[i])) {
-        lowerCase = true;
-      } else if ("-dump".equals(args[i])) {
-        dump = true;
-      } else if ("-ioFileList".equals(args[i])) {
-        inputOutputFileList = true;
-      } else if ("-encoding".equals(args[i]) && i < args.length - 1) {
-        i++;
-        charset = args[i];
-      } else if ("-parseInside".equals(args[i]) && i < args.length - 1) {
-        i++;
-        try {
-          parseInsideBegin = Pattern.compile("<(?:" + args[i] + ")(?:\\s[^>]*?)?>");
-          parseInsideEnd = Pattern.compile("</(?:" + args[i] + ")(?:\\s[^>]*?)?>");
-        } catch (Exception e) {
-          parseInsideBegin = null;
-          parseInsideEnd = null;
-        }
-      } else if ("-untok".equals(args[i])) {
-        untok = true;
-      } else if ("-h".equals(args[i]) || "-help".equals(args[i]) || "--help".equals(args[i])) {
-        System.err.println("usage: java edu.stanford.nlp.process.PTBTokenizer [options]* filename*");
-        System.err.println("  options: -preserveLines|-lowerCase|-dump|-ioFileList|-encoding|-parseInside elementRegex|-options options|-h");
-        return;  // exit if they asked for help in options
-      } else {
-        System.err.println("Unknown option: " + args[i]);
-      }
-      i++;
-    }
-
-    ArrayList<String> inputFileList = new ArrayList<String>();
-    ArrayList<String> outputFileList = null;
-
-    if (inputOutputFileList) {
-      outputFileList = new ArrayList<String>();
-      for (int j = i; j < args.length; j++) {
-        BufferedReader r = new BufferedReader(
-          new InputStreamReader(new FileInputStream(args[j]), charset));
-        for (String inLine; (inLine = r.readLine()) != null; ) {
-          String[] fields = inLine.split("\\s+");
-          inputFileList.add(fields[0]);
-          if (fields.length > 1) {
-            outputFileList.add(fields[1]);
-          } else {
-            outputFileList.add(fields[0] + ".tok");
-          }
-        }
-        r.close();
-      }
-    } else {
-      inputFileList.addAll(Arrays.asList(args).subList(i, args.length));
-    }
-
-    if (untok) {
-      untok(inputFileList, outputFileList, charset);
-    } else {
-      tok(inputFileList, outputFileList, charset, parseInsideBegin, parseInsideEnd, optionsSB.toString(), preserveLines, dump, lowerCase);
-    }
-  } // end main
-
-} // end PTBTokenizer
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/Tokenizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/Tokenizer.java
deleted file mode 100644
index 42aa9cd..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/Tokenizer.java
+++ /dev/null
@@ -1,56 +0,0 @@
-package edu.stanford.nlp.process;
-
-
-import java.util.Iterator;
-import java.util.List;
-
-/**
- * Tokenizers break up text into individual Objects. These objects may be
- * Strings, Words, or other Objects.  A Tokenizer extends the Iterator
- * interface, but provides a lookahead operation <code>peek()</code>.  An
- * implementation of this interface is expected to have a constructor that
- * takes a single argument, a Reader.
- *
- * @author Teg Grenager (grenager@stanford.edu)
- */
-public interface Tokenizer<T> extends Iterator<T> {
-
-  /**
-   * Returns the next token from this Tokenizer.
-   *
-   * @return the next token in the token stream.
-   * @throws java.util.NoSuchElementException
-   *          if the token stream has no more tokens.
-   */
-  public T next();
-
-  /**
-   * Returns <code>true</code> if and only if this Tokenizer has more elements.
-   */
-  public boolean hasNext();
-
-  /**
-   * Removes from the underlying collection the last element returned by
-   * the iterator.  This is an optional operation for Iterators - a
-   * Tokenizer normally would not support it. This method can be called
-   * only once per call to next.
-   */
-  public void remove();
-
-  /**
-   * Returns the next token, without removing it, from the Tokenizer, so
-   * that the same token will be again returned on the next call to
-   * next() or peek().
-   *
-   * @return the next token in the token stream.
-   * @throws java.util.NoSuchElementException
-   *          if the token stream has no more tokens.
-   */
-  public T peek();
-
-  /**
-   * Returns all tokens of this Tokenizer as a List for convenience.
-   */
-  public List<T> tokenize();
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/TokenizerAdapter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/TokenizerAdapter.java
deleted file mode 100644
index 31e1465..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/TokenizerAdapter.java
+++ /dev/null
@@ -1,92 +0,0 @@
-package edu.stanford.nlp.process;
-
-
-import java.io.IOException;
-import java.io.StreamTokenizer;
-
-
-/**
- * This class adapts between a <code>java.io.StreamTokenizer</code>
- * and a <code>edu.stanford.nlp.process.Tokenizer</code>.
- *
- * @author Christopher Manning
- * @version 2004/04/01
- */
-public class TokenizerAdapter extends AbstractTokenizer<String> {
-
-  protected final StreamTokenizer st;
-
-  protected String eolString = "<EOL>";
-
-
-  /**
-   * Create a new <code>TokenizerAdaptor</code>.  In general, it is
-   * recommended that the passed in <code>StreamTokenizer</code> should
-   * have had <code>resetSyntax()</code> done to it, so that numbers are
-   * returned as entered as tokens of type <code>String</code>, though this
-   * code will cope as best it can.
-   *
-   * @param st The internal <code>java.io.StreamTokenizer</code>
-   */
-  public TokenizerAdapter(StreamTokenizer st) {
-    this.st = st;
-  }
-
-
-  /**
-   * Internally fetches the next token.
-   *
-   * @return the next token in the token stream, or null if none exists.
-   */
-  @Override
-  public String getNext() {
-    try {
-      int nextTok = st.nextToken();
-      switch (nextTok) {
-        case java.io.StreamTokenizer.TT_EOL:
-          return eolString;
-        case java.io.StreamTokenizer.TT_EOF:
-          return null;
-        case java.io.StreamTokenizer.TT_WORD:
-          return st.sval;
-        case java.io.StreamTokenizer.TT_NUMBER:
-          return Double.toString(st.nval);
-        default:
-          char[] t = { (char) nextTok };    // (array initialization)
-          return new String(t);
-      }
-    } catch (IOException ioe) {
-      // do nothing, return null
-      return null;
-    }
-  }
-
-
-  /**
-   * Set the <code>String</code> returned when the inner tokenizer
-   * returns an end-of-line token.  This will only happen if the
-   * inner tokenizer has been set to <code>eolIsSignificant(true)</code>.
-   *
-   * @param eolString The String used to represent eol.  It is not allowed
-   *                  to be <code>null</code> (which would confuse line ends and file end)
-   */
-  public void setEolString(String eolString) {
-    if (eolString == null) {
-      throw new IllegalArgumentException("eolString cannot be null");
-    }
-    this.eolString = eolString;
-  }
-
-
-  /**
-   * Say whether the <code>String</code> is the end-of-line token for
-   * this tokenizer.
-   *
-   * @param str The String being tested
-   * @return Whether it is the end-of-line token
-   */
-  public boolean isEol(String str) {
-    return eolString.equals(str);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WhitespaceLexer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WhitespaceLexer.java
deleted file mode 100644
index 2a40fb6..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WhitespaceLexer.java
+++ /dev/null
@@ -1,575 +0,0 @@
-/* The following code was generated by JFlex 1.4.3 on 5/10/11 1:08 AM */
-
-package edu.stanford.nlp.process;
-
-import java.io.Reader;
-import edu.stanford.nlp.ling.Word;
-
-/** Provides a Unicode-aware plain whitespace tokenizer.  This tokenizer separates words
- *  based on whitespace, including Unicode spaces such as the CJK ideographic space as well
- *  as traditional Unix whitespace characters.  It can optionally separate out and return
- *  newline characters, again recognizing all Unicode newline sequences.
- *  Designed to be called by <code>WhitespaceTokenizer</code>.
- *
- *  @author Roger Levy
- *  @author Christopher Manning
- */
-
-
-class WhitespaceLexer {
-
-  /** This character denotes the end of file */
-  public static final int YYEOF = -1;
-
-  /** initial size of the lookahead buffer */
-  private static final int ZZ_BUFFERSIZE = 16384;
-
-  /** lexical states */
-  public static final int YYINITIAL = 0;
-
-  /**
-   * ZZ_LEXSTATE[l] is the state in the DFA for the lexical state l
-   * ZZ_LEXSTATE[l+1] is the state in the DFA for the lexical state l
-   *                  at the beginning of a line
-   * l is of the form l = 2*k, k a non negative integer
-   */
-  private static final int ZZ_LEXSTATE[] = { 
-     0, 0
-  };
-
-  /** 
-   * Translates characters to character classes
-   */
-  private static final String ZZ_CMAP_PACKED = 
-    "\11\0\1\4\1\2\2\3\1\1\22\0\1\4\144\0\1\3\32\0"+
-    "\1\4\u15df\0\1\4\u018d\0\1\4\u07f3\0\12\4\34\0\1\3\1\3"+
-    "\5\0\1\4\57\0\2\4\u0f9f\0\1\4\ucfff\0";
-
-  /** 
-   * Translates characters to character classes
-   */
-  private static final char [] ZZ_CMAP = zzUnpackCMap(ZZ_CMAP_PACKED);
-
-  /** 
-   * Translates DFA states to action switch labels.
-   */
-  private static final int [] ZZ_ACTION = zzUnpackAction();
-
-  private static final String ZZ_ACTION_PACKED_0 =
-    "\1\0\1\1\2\2\1\3";
-
-  private static int [] zzUnpackAction() {
-    int [] result = new int[5];
-    int offset = 0;
-    offset = zzUnpackAction(ZZ_ACTION_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackAction(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-
-  /** 
-   * Translates a state to a row index in the transition table
-   */
-  private static final int [] ZZ_ROWMAP = zzUnpackRowMap();
-
-  private static final String ZZ_ROWMAP_PACKED_0 =
-    "\0\0\0\5\0\12\0\17\0\24";
-
-  private static int [] zzUnpackRowMap() {
-    int [] result = new int[5];
-    int offset = 0;
-    offset = zzUnpackRowMap(ZZ_ROWMAP_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackRowMap(String packed, int offset, int [] result) {
-    int i = 0;  /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int high = packed.charAt(i++) << 16;
-      result[j++] = high | packed.charAt(i++);
-    }
-    return j;
-  }
-
-  /** 
-   * The transition table of the DFA
-   */
-  private static final int [] ZZ_TRANS = zzUnpackTrans();
-
-  private static final String ZZ_TRANS_PACKED_0 =
-    "\1\2\1\3\2\4\1\5\1\2\6\0\1\4\13\0"+
-    "\1\5";
-
-  private static int [] zzUnpackTrans() {
-    int [] result = new int[25];
-    int offset = 0;
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackTrans(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      value--;
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-
-  /* error codes */
-  private static final int ZZ_UNKNOWN_ERROR = 0;
-  private static final int ZZ_NO_MATCH = 1;
-  private static final int ZZ_PUSHBACK_2BIG = 2;
-
-  /* error messages for the codes above */
-  private static final String ZZ_ERROR_MSG[] = {
-    "Unkown internal scanner error",
-    "Error: could not match input",
-    "Error: pushback value was too large"
-  };
-
-  /**
-   * ZZ_ATTRIBUTE[aState] contains the attributes of state <code>aState</code>
-   */
-  private static final int [] ZZ_ATTRIBUTE = zzUnpackAttribute();
-
-  private static final String ZZ_ATTRIBUTE_PACKED_0 =
-    "\1\0\2\1\1\11\1\1";
-
-  private static int [] zzUnpackAttribute() {
-    int [] result = new int[5];
-    int offset = 0;
-    offset = zzUnpackAttribute(ZZ_ATTRIBUTE_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackAttribute(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-  /** the input device */
-  private java.io.Reader zzReader;
-
-  /** the current state of the DFA */
-  private int zzState;
-
-  /** the current lexical state */
-  private int zzLexicalState = YYINITIAL;
-
-  /** this buffer contains the current text to be matched and is
-      the source of the yytext() string */
-  private char zzBuffer[] = new char[ZZ_BUFFERSIZE];
-
-  /** the textposition at the last accepting state */
-  private int zzMarkedPos;
-
-  /** the current text position in the buffer */
-  private int zzCurrentPos;
-
-  /** startRead marks the beginning of the yytext() string in the buffer */
-  private int zzStartRead;
-
-  /** endRead marks the last character in the buffer, that has been read
-      from input */
-  private int zzEndRead;
-
-  /** number of newlines encountered up to the start of the matched text */
-  private int yyline;
-
-  /** the number of characters up to the start of the matched text */
-  private int yychar;
-
-  /**
-   * the number of characters from the last newline up to the start of the 
-   * matched text
-   */
-  private int yycolumn;
-
-  /** 
-   * zzAtBOL == true <=> the scanner is currently at the beginning of a line
-   */
-  private boolean zzAtBOL = true;
-
-  /** zzAtEOF == true <=> the scanner is at the EOF */
-  private boolean zzAtEOF;
-
-  /** denotes if the user-EOF-code has already been executed */
-  private boolean zzEOFDone;
-
-  /* user code: */
-/** 
- * See: http://www.w3.org/TR/newline on Web newline chars: NEL, LS, PS.
-   See: http://unicode.org/reports/tr13/tr13-9.html and
-   http://www.unicode.org/unicode/reports/tr18/#Line_Boundaries
-   for Unicode conventions,
-   including other separators (vertical tab and form feed).
-   <br>
-   We do not interpret the zero width joiner/non-joiner (U+200C,
-   U+200D) as white spaces. 
-   <br>
-   No longer %standalone.  See WhitespaceTokenizer for a main method. 
- */
-
-  public WhitespaceLexer(Reader r, LexedTokenFactory<?> tf) {
-    this(r);
-    this.tokenFactory = tf;
-  }
-
-  private LexedTokenFactory<?> tokenFactory;
-
-  static final String NEWLINE = "\n";
-
-
-  /**
-   * Creates a new scanner
-   * There is also a java.io.InputStream version of this constructor.
-   *
-   * @param   in  the java.io.Reader to read input from.
-   */
-  WhitespaceLexer(java.io.Reader in) {
-    this.zzReader = in;
-  }
-
-  /**
-   * Creates a new scanner.
-   * There is also java.io.Reader version of this constructor.
-   *
-   * @param   in  the java.io.Inputstream to read input from.
-   */
-  WhitespaceLexer(java.io.InputStream in) {
-    this(new java.io.InputStreamReader(in));
-  }
-
-  /** 
-   * Unpacks the compressed character translation table.
-   *
-   * @param packed   the packed character translation table
-   * @return         the unpacked character translation table
-   */
-  private static char [] zzUnpackCMap(String packed) {
-    char [] map = new char[0x10000];
-    int i = 0;  /* index in packed string  */
-    int j = 0;  /* index in unpacked array */
-    while (i < 54) {
-      int  count = packed.charAt(i++);
-      char value = packed.charAt(i++);
-      do map[j++] = value; while (--count > 0);
-    }
-    return map;
-  }
-
-
-  /**
-   * Refills the input buffer.
-   *
-   * @return      <code>false</code>, iff there was new input.
-   * 
-   * @exception   java.io.IOException  if any I/O-Error occurs
-   */
-  private boolean zzRefill() throws java.io.IOException {
-
-    /* first: make room (if you can) */
-    if (zzStartRead > 0) {
-      System.arraycopy(zzBuffer, zzStartRead,
-                       zzBuffer, 0,
-                       zzEndRead-zzStartRead);
-
-      /* translate stored positions */
-      zzEndRead-= zzStartRead;
-      zzCurrentPos-= zzStartRead;
-      zzMarkedPos-= zzStartRead;
-      zzStartRead = 0;
-    }
-
-    /* is the buffer big enough? */
-    if (zzCurrentPos >= zzBuffer.length) {
-      /* if not: blow it up */
-      char newBuffer[] = new char[zzCurrentPos*2];
-      System.arraycopy(zzBuffer, 0, newBuffer, 0, zzBuffer.length);
-      zzBuffer = newBuffer;
-    }
-
-    /* finally: fill the buffer with new input */
-    int numRead = zzReader.read(zzBuffer, zzEndRead,
-                                            zzBuffer.length-zzEndRead);
-
-    if (numRead > 0) {
-      zzEndRead+= numRead;
-      return false;
-    }
-    // unlikely but not impossible: read 0 characters, but not at end of stream    
-    if (numRead == 0) {
-      int c = zzReader.read();
-      if (c == -1) {
-        return true;
-      } else {
-        zzBuffer[zzEndRead++] = (char) c;
-        return false;
-      }     
-    }
-
-	// numRead < 0
-    return true;
-  }
-
-    
-  /**
-   * Closes the input stream.
-   */
-  public final void yyclose() throws java.io.IOException {
-    zzAtEOF = true;            /* indicate end of file */
-    zzEndRead = zzStartRead;  /* invalidate buffer    */
-
-    if (zzReader != null)
-      zzReader.close();
-  }
-
-
-  /**
-   * Resets the scanner to read from a new input stream.
-   * Does not close the old reader.
-   *
-   * All internal variables are reset, the old input stream 
-   * <b>cannot</b> be reused (internal buffer is discarded and lost).
-   * Lexical state is set to <tt>ZZ_INITIAL</tt>.
-   *
-   * @param reader   the new input stream 
-   */
-  public final void yyreset(java.io.Reader reader) {
-    zzReader = reader;
-    zzAtBOL  = true;
-    zzAtEOF  = false;
-    zzEOFDone = false;
-    zzEndRead = zzStartRead = 0;
-    zzCurrentPos = zzMarkedPos = 0;
-    yyline = yychar = yycolumn = 0;
-    zzLexicalState = YYINITIAL;
-  }
-
-
-  /**
-   * Returns the current lexical state.
-   */
-  public final int yystate() {
-    return zzLexicalState;
-  }
-
-
-  /**
-   * Enters a new lexical state
-   *
-   * @param newState the new lexical state
-   */
-  public final void yybegin(int newState) {
-    zzLexicalState = newState;
-  }
-
-
-  /**
-   * Returns the text matched by the current regular expression.
-   */
-  public final String yytext() {
-    return new String( zzBuffer, zzStartRead, zzMarkedPos-zzStartRead );
-  }
-
-
-  /**
-   * Returns the character at position <tt>pos</tt> from the 
-   * matched text. 
-   * 
-   * It is equivalent to yytext().charAt(pos), but faster
-   *
-   * @param pos the position of the character to fetch. 
-   *            A value from 0 to yylength()-1.
-   *
-   * @return the character at position pos
-   */
-  public final char yycharat(int pos) {
-    return zzBuffer[zzStartRead+pos];
-  }
-
-
-  /**
-   * Returns the length of the matched text region.
-   */
-  public final int yylength() {
-    return zzMarkedPos-zzStartRead;
-  }
-
-
-  /**
-   * Reports an error that occured while scanning.
-   *
-   * In a wellformed scanner (no or only correct usage of 
-   * yypushback(int) and a match-all fallback rule) this method 
-   * will only be called with things that "Can't Possibly Happen".
-   * If this method is called, something is seriously wrong
-   * (e.g. a JFlex bug producing a faulty scanner etc.).
-   *
-   * Usual syntax/scanner level error handling should be done
-   * in error fallback rules.
-   *
-   * @param   errorCode  the code of the errormessage to display
-   */
-  private void zzScanError(int errorCode) {
-    String message;
-    try {
-      message = ZZ_ERROR_MSG[errorCode];
-    }
-    catch (ArrayIndexOutOfBoundsException e) {
-      message = ZZ_ERROR_MSG[ZZ_UNKNOWN_ERROR];
-    }
-
-    throw new Error(message);
-  } 
-
-
-  /**
-   * Pushes the specified amount of characters back into the input stream.
-   *
-   * They will be read again by then next call of the scanning method
-   *
-   * @param number  the number of characters to be read again.
-   *                This number must not be greater than yylength()!
-   */
-  public void yypushback(int number)  {
-    if ( number > yylength() )
-      zzScanError(ZZ_PUSHBACK_2BIG);
-
-    zzMarkedPos -= number;
-  }
-
-
-  /**
-   * Resumes scanning until the next regular expression is matched,
-   * the end of input is encountered or an I/O-Error occurs.
-   *
-   * @return      the next token
-   * @exception   java.io.IOException  if any I/O-Error occurs
-   */
-  public Object next() throws java.io.IOException {
-    int zzInput;
-    int zzAction;
-
-    // cached fields:
-    int zzCurrentPosL;
-    int zzMarkedPosL;
-    int zzEndReadL = zzEndRead;
-    char [] zzBufferL = zzBuffer;
-    char [] zzCMapL = ZZ_CMAP;
-
-    int [] zzTransL = ZZ_TRANS;
-    int [] zzRowMapL = ZZ_ROWMAP;
-    int [] zzAttrL = ZZ_ATTRIBUTE;
-
-    while (true) {
-      zzMarkedPosL = zzMarkedPos;
-
-      yychar+= zzMarkedPosL-zzStartRead;
-
-      zzAction = -1;
-
-      zzCurrentPosL = zzCurrentPos = zzStartRead = zzMarkedPosL;
-  
-      zzState = ZZ_LEXSTATE[zzLexicalState];
-
-
-      zzForAction: {
-        while (true) {
-    
-          if (zzCurrentPosL < zzEndReadL)
-            zzInput = zzBufferL[zzCurrentPosL++];
-          else if (zzAtEOF) {
-            zzInput = YYEOF;
-            break zzForAction;
-          }
-          else {
-            // store back cached positions
-            zzCurrentPos  = zzCurrentPosL;
-            zzMarkedPos   = zzMarkedPosL;
-            boolean eof = zzRefill();
-            // get translated positions and possibly new buffer
-            zzCurrentPosL  = zzCurrentPos;
-            zzMarkedPosL   = zzMarkedPos;
-            zzBufferL      = zzBuffer;
-            zzEndReadL     = zzEndRead;
-            if (eof) {
-              zzInput = YYEOF;
-              break zzForAction;
-            }
-            else {
-              zzInput = zzBufferL[zzCurrentPosL++];
-            }
-          }
-          int zzNext = zzTransL[ zzRowMapL[zzState] + zzCMapL[zzInput] ];
-          if (zzNext == -1) break zzForAction;
-          zzState = zzNext;
-
-          int zzAttributes = zzAttrL[zzState];
-          if ( (zzAttributes & 1) == 1 ) {
-            zzAction = zzState;
-            zzMarkedPosL = zzCurrentPosL;
-            if ( (zzAttributes & 8) == 8 ) break zzForAction;
-          }
-
-        }
-      }
-
-      // store back cached position
-      zzMarkedPos = zzMarkedPosL;
-
-      switch (zzAction < 0 ? zzAction : ZZ_ACTION[zzAction]) {
-        case 2: 
-          { return tokenFactory.makeToken(NEWLINE, yychar, yylength());
-          }
-        case 4: break;
-        case 1: 
-          { return tokenFactory.makeToken(yytext(), yychar, yylength());
-          }
-        case 5: break;
-        case 3: 
-          { 
-          }
-        case 6: break;
-        default: 
-          if (zzInput == YYEOF && zzStartRead == zzCurrentPos) {
-            zzAtEOF = true;
-              {
-                return null;
-              }
-          } 
-          else {
-            zzScanError(ZZ_NO_MATCH);
-          }
-      }
-    }
-  }
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WhitespaceTokenizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WhitespaceTokenizer.java
deleted file mode 100644
index 7fa0183..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WhitespaceTokenizer.java
+++ /dev/null
@@ -1,212 +0,0 @@
-package edu.stanford.nlp.process;
-
-
-import edu.stanford.nlp.ling.HasWord;
-import edu.stanford.nlp.ling.Word;
-import edu.stanford.nlp.objectbank.TokenizerFactory;
-import edu.stanford.nlp.util.StringUtils;
-
-import java.io.*;
-import java.util.Iterator;
-import java.util.Map;
-import java.util.Properties;
-
-/**
- * A WhitespaceTokenizer is a tokenizer that splits on and discards only
- * whitespace characters.
- * This implementation returns Word objects. It has a parameter for whether
- * to make EOL a token or whether to treat EOL characters as whitespace.
- * If an EOL is a token, the class returns it as a Word with String value "\n".
- * <p/>
- * <i>Implementation note:</i> This was rewritten in Apr 2006 to discard the
- * old StreamTokenizer based implementation and to replace it with a
- * Unicode compliant JFlex-based version.
- *
- * @author Joseph Smarr (jsmarr@stanford.edu)
- * @author Teg Grenager (grenager@stanford.edu)
- * @author Roger Levy
- * @author Christopher Manning
- */
-public class WhitespaceTokenizer<T extends HasWord> 
-  extends AbstractTokenizer<T> 
-{
-
-  /**
-   * A factory which vends WhitespaceTokenizers.
-   *
-   * @author Christopher Manning
-   */
-  public static class WhitespaceTokenizerFactory<T extends HasWord>
-    implements TokenizerFactory<T> 
-  {
-
-    private boolean tokenizeNLs;
-    private LexedTokenFactory<T> factory;
-
-    /**
-     * Constructs a new TokenizerFactory that returns Word objects and
-     * treats carriage returns as normal whitespace.
-     * THIS METHOD IS INVOKED BY REFLECTION BY SOME OF THE JAVANLP
-     * CODE TO LOAD A TOKENIZER FACTORY.  IT SHOULD BE PRESENT IN A
-     * TokenizerFactory.
-     *
-     * @return A TokenizerFactory that returns Word objects
-     */
-    public static TokenizerFactory<Word> newTokenizerFactory() {
-      return new WhitespaceTokenizerFactory<Word>(new WordTokenFactory(), 
-                                                  false);
-    }
-
-    public WhitespaceTokenizerFactory(LexedTokenFactory<T> factory) {
-      this(factory, false);
-    }
-
-    public WhitespaceTokenizerFactory(LexedTokenFactory<T> factory,
-                                      boolean tokenizeNLs) {
-      this.factory = factory;
-      this.tokenizeNLs = tokenizeNLs;
-    }
-
-    public Iterator<T> getIterator(Reader r) {
-      return getTokenizer(r);
-    }
-
-    public Tokenizer<T> getTokenizer(Reader r) {
-      return new WhitespaceTokenizer(factory, r, tokenizeNLs);
-    }
-
-    public void setOptions(String options) {
-      Properties prop = StringUtils.stringToProperties(options);
-      for (Map.Entry<Object,Object> item : prop.entrySet()) {
-        String key = (String) item.getKey();
-        String value = (String) item.getValue();
-        boolean val = Boolean.valueOf(value);
-
-        if(key.equals("tokenizeNLs"))
-          tokenizeNLs = val;
-      }
-    }
-  } // end class WhitespaceTokenizerFactory
-
-
-  private WhitespaceLexer lexer;
-  private final boolean eolIsSignificant;
-
-  /**
-   * Internally fetches the next token.
-   *
-   * @return the next token in the token stream, or null if none exists.
-   */
-  @Override
-  protected T getNext() {
-    T token = null;
-    if (lexer == null) {
-      return token;
-    }
-    try {
-      token = (T) lexer.next();
-      while (token != null && token.word().equals(WhitespaceLexer.NEWLINE)) {
-        if (eolIsSignificant) {
-          return token;
-        } else {
-          token = (T) lexer.next();
-        }
-      }
-    } catch (IOException e) {
-      // do nothing, return null
-    }
-    return token;
-  }
-
-  /**
-   * Constructs a new WhitespaceTokenizer
-   *
-   * @param r The Reader r that is its source.
-   */
-  public WhitespaceTokenizer(LexedTokenFactory factory, Reader r) {
-    this(factory, r, false);
-  }
-
-  /**
-   * Constructs a new WhitespaceTokenizer
-   * @param r The Reader that is its source.
-   * @param eolIsSignificant Whether eol tokens should be returned.
-   */
-  public WhitespaceTokenizer(LexedTokenFactory factory, 
-                             Reader r, boolean eolIsSignificant) {
-    this.eolIsSignificant = eolIsSignificant;
-    // The conditional below is perhaps currently needed in LexicalizedParser, since
-    // it passes in a null arg while doing type-checking for sentence escaping
-    // but StreamTokenizer barfs on that.  But maybe shouldn't be here.
-    if (r != null) {
-      lexer = new WhitespaceLexer(r, factory);
-    }
-  }
-
-  public static WhitespaceTokenizer<Word> 
-    newWordWhitespaceTokenizer(Reader r) 
-  {
-    return newWordWhitespaceTokenizer(r, false);
-  }
-
-  public static WhitespaceTokenizer<Word> 
-    newWordWhitespaceTokenizer(Reader r, boolean eolIsSignificant) 
-  {
-    return new WhitespaceTokenizer<Word>(new WordTokenFactory(), r, 
-                                         eolIsSignificant);
-  }
-
-  /* ----
-   * Sets the source of this Tokenizer to be the Reader r.
-
-  private void setSource(Reader r) {
-    lexer = new WhitespaceLexer(r);
-  }
-  ---- */
-
-  public static TokenizerFactory<Word> factory() {
-    return new WhitespaceTokenizerFactory<Word>(new WordTokenFactory(), 
-                                                false);
-  }
-
-  public static TokenizerFactory<Word> factory(boolean eolIsSignificant) {
-    return new WhitespaceTokenizerFactory<Word>(new WordTokenFactory(), 
-                                                eolIsSignificant);
-  }
-
-  /**
-   * Reads a file from the argument and prints its tokens one per line.
-   * This is mainly as a testing aid, but it can also be quite useful
-   * standalone to turn a corpus into a one token per line file of tokens.
-   * <p/>
-   * Usage: <code>java edu.stanford.nlp.process.WhitespaceTokenizer filename
-   * </code>
-   *
-   * @param args Command line arguments
-   * @throws IOException If can't open files, etc.
-   */
-  public static void main(String[] args) throws IOException {
-    
-    boolean eolIsSignificant = (args.length > 0 && args[0].equals("-cr"));
-    Reader reader = ((args.length > 0 && 
-                      !args[args.length - 1].equals("-cr")) ?
-                     new InputStreamReader(new FileInputStream
-                                           (args[args.length - 1]), "UTF-8") :
-                     new InputStreamReader(System.in, "UTF-8"));
-    WhitespaceTokenizer<Word> tokenizer = 
-      new WhitespaceTokenizer<Word>(new WordTokenFactory(), reader, 
-                                    eolIsSignificant);
-    PrintWriter pw = 
-      new PrintWriter(new OutputStreamWriter(System.out, "UTF-8"), true);
-    while (tokenizer.hasNext()) {
-      Word w = tokenizer.next();
-      if (w.value().equals(WhitespaceLexer.NEWLINE)) {
-        pw.println("***CR***");
-      } else {
-        pw.println(w);
-      }
-    }
-  }
-
-} // end class WhitespaceTokenizer
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WordShapeClassifier.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WordShapeClassifier.java
deleted file mode 100644
index a5b36cf..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WordShapeClassifier.java
+++ /dev/null
@@ -1,877 +0,0 @@
-package edu.stanford.nlp.process;
-
-import java.util.*;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-
-// TODO: put in a regexp for ordinals, fraction num/num and perhaps even 30-5/8
-
-
-/**
- * Provides static methods which
- * map any String to another String indicative of its "word shape" -- e.g.,
- * whether capitalized, numeric, etc.  Different implementations may
- * implement quite different, normally language specific ideas of what
- * word shapes are useful.
- *
- * @author Christopher Manning
- * @author Dan Klein
- */
-public class WordShapeClassifier {
-
-  public static final int NOWORDSHAPE = -1;
-  public static final int WORDSHAPEDAN1 = 0;
-  public static final int WORDSHAPECHRIS1 = 1;
-  public static final int WORDSHAPEDAN2 = 2;
-  public static final int WORDSHAPEDAN2USELC = 3;
-  public static final int WORDSHAPEDAN2BIO = 4;
-  public static final int WORDSHAPEDAN2BIOUSELC = 5;
-  public static final int WORDSHAPEJENNY1 = 6;
-  public static final int WORDSHAPEJENNY1USELC = 7;
-  public static final int WORDSHAPECHRIS2 = 8;
-  public static final int WORDSHAPECHRIS2USELC = 9;
-  public static final int WORDSHAPECHRIS3 = 10;
-  public static final int WORDSHAPECHRIS3USELC = 11;
-  public static final int WORDSHAPECHRIS4 = 12;
-  public static final int WORDSHAPEDIGITS = 13;
-
-
-  // This class cannot be instantiated
-  private WordShapeClassifier() {
-  }
-
-
-  /** Look up a shaper by a short String name.
-   *
-   * @param name Shaper name.  Known names have patterns along the lines of:
-   *             dan[12](bio)?(UseLC)?, jenny1(useLC)?, chris[1234](useLC)?.
-   * @return An integer constant for the shaper
-   */
-  public static int lookupShaper(String name) {
-    if (name == null) {
-      return NOWORDSHAPE;
-    } else if (name.equalsIgnoreCase("dan1")) {
-      return WORDSHAPEDAN1;
-    } else if (name.equalsIgnoreCase("chris1")) {
-      return WORDSHAPECHRIS1;
-    } else if (name.equalsIgnoreCase("dan2")) {
-      return WORDSHAPEDAN2;
-    } else if (name.equalsIgnoreCase("dan2useLC")) {
-      return WORDSHAPEDAN2USELC;
-    } else if (name.equalsIgnoreCase("dan2bio")) {
-      return WORDSHAPEDAN2BIO;
-    } else if (name.equalsIgnoreCase("dan2bioUseLC")) {
-      return WORDSHAPEDAN2BIOUSELC;
-    } else if (name.equalsIgnoreCase("jenny1")) {
-      return WORDSHAPEJENNY1;
-    } else if (name.equalsIgnoreCase("jenny1useLC")) {
-      return WORDSHAPEJENNY1USELC;
-    } else if (name.equalsIgnoreCase("chris2")) {
-      return WORDSHAPECHRIS2;
-    } else if (name.equalsIgnoreCase("chris2useLC")) {
-      return WORDSHAPECHRIS2USELC;
-    } else if (name.equalsIgnoreCase("chris3")) {
-      return WORDSHAPECHRIS3;
-    } else if (name.equalsIgnoreCase("chris3useLC")) {
-      return WORDSHAPECHRIS3USELC;
-    } else if (name.equalsIgnoreCase("chris4")) {
-      return WORDSHAPECHRIS4;
-    } else if (name.equalsIgnoreCase("digits")) {
-      return WORDSHAPEDIGITS;
-    } else {
-      return NOWORDSHAPE;
-    }
-  }
-
-  /**
-   * Returns true if the specified word shaper doesn't use
-   * known lower case words, even if a list of them is present.
-   * This is used for backwards compatibility. It is suggested that
-   * new word shape functions are either passed a non-null list of
-   * lowercase words or not, depending on whether you want knownLC marking
-   * (if it is available in a shaper).  This is how chris4 works.
-   *
-   * @param shape One of the defined shape constants
-   * @return true if the specified word shaper uses
-   *     known lower case words.
-   */
-  private static boolean dontUseLC(int shape) {
-    return shape == WORDSHAPEDAN2 ||
-            shape == WORDSHAPEDAN2BIO ||
-            shape == WORDSHAPEJENNY1 ||
-            shape == WORDSHAPECHRIS2 ||
-            shape == WORDSHAPECHRIS3;
-  }
-
-
-  /**
-   * Specify the String and the int identifying which word shaper to
-   * use and this returns the result of using that wordshaper on the String.
-   *
-   * @param inStr String to calculate word shape of
-   * @param wordShaper Constant for which shaping formula to use
-   * @return The wordshape String
-   */
-  public static String wordShape(String inStr, int wordShaper) {
-    return wordShape(inStr, wordShaper, null);
-  }
-
-
-  /**
-   * Specify the string and the int identifying which word shaper to
-   * use and this returns the result of using that wordshaper on the String.
-   *
-   * @param inStr String to calculate word shape of
-   * @param wordShaper Constant for which shaping formula to use
-   * @param knownLCWords A Collection of known lowercase words, which some shapers use
-   *           to decide the class of capitalized words.
-   *           <i>Note: while this code works with any Collection, you should
-   *           provide a Set for decent performance.</i>  If this parameter is
-   *           null or empty, then this option is not used (capitalized words
-   *           are treated the same, regardless of whether the lowercased
-   *           version of the String has been seen).
-   * @return The wordshape String
-   */
-  public static String wordShape(String inStr, int wordShaper, Collection<String> knownLCWords) {
-    // this first bit is for backwards compatibility with how things were first
-    // implemented, where the word shaper name encodes whether to useLC.
-    // If the shaper is in the old compatibility list, then a specified
-    // list of knownLCwords is ignored
-    if (knownLCWords != null && dontUseLC(wordShaper)) {
-      knownLCWords = null;
-    }
-    switch (wordShaper) {
-      case NOWORDSHAPE:
-        return inStr;
-      case WORDSHAPEDAN1:
-        return wordShapeDan1(inStr);
-      case WORDSHAPECHRIS1:
-        return wordShapeChris1(inStr);
-      case WORDSHAPEDAN2:
-        return wordShapeDan2(inStr, knownLCWords);
-      case WORDSHAPEDAN2USELC:
-        return wordShapeDan2(inStr, knownLCWords);
-      case WORDSHAPEDAN2BIO:
-        return wordShapeDan2Bio(inStr, knownLCWords);
-      case WORDSHAPEDAN2BIOUSELC:
-        return wordShapeDan2Bio(inStr, knownLCWords);
-      case WORDSHAPEJENNY1:
-        return wordShapeJenny1(inStr, knownLCWords);
-      case WORDSHAPEJENNY1USELC:
-        return wordShapeJenny1(inStr, knownLCWords);
-      case WORDSHAPECHRIS2:
-        return wordShapeChris2(inStr, false, knownLCWords);
-      case WORDSHAPECHRIS2USELC:
-        return wordShapeChris2(inStr, false, knownLCWords);
-      case WORDSHAPECHRIS3:
-        return wordShapeChris2(inStr, true, knownLCWords);
-      case WORDSHAPECHRIS3USELC:
-        return wordShapeChris2(inStr, true, knownLCWords);
-      case WORDSHAPECHRIS4:
-        return wordShapeChris4(inStr, false, knownLCWords);
-      case WORDSHAPEDIGITS:
-        return wordShapeDigits(inStr);
-      default:
-        throw new IllegalStateException("Bad WordShapeClassifier");
-    }
-  }
-
-  /**
-   * A fairly basic 5-way classifier, that notes digits, and upper
-   * and lower case, mixed, and non-alphanumeric.
-   *
-   * @param s String to find word shape of
-   * @return Its word shape: a 5 way classification
-   */
-  private static String wordShapeDan1(String s) {
-    boolean digit = true;
-    boolean upper = true;
-    boolean lower = true;
-    boolean mixed = true;
-    for (int i = 0; i < s.length(); i++) {
-      char c = s.charAt(i);
-      if (!Character.isDigit(c)) {
-        digit = false;
-      }
-      if (!Character.isLowerCase(c)) {
-        lower = false;
-      }
-      if (!Character.isUpperCase(c)) {
-        upper = false;
-      }
-      if ((i == 0 && !Character.isUpperCase(c)) || (i >= 1 && !Character.isLowerCase(c))) {
-        mixed = false;
-      }
-    }
-    if (digit) {
-      return "ALL-DIGITS";
-    }
-    if (upper) {
-      return "ALL-UPPER";
-    }
-    if (lower) {
-      return "ALL-LOWER";
-    }
-    if (mixed) {
-      return "MIXED-CASE";
-    }
-    return "OTHER";
-  }
-
-
-  /**
-   * A fine-grained word shape classifier, that equivalence classes
-   * lower and upper case and digits, and collapses sequences of the
-   * same type, but keeps all punctuation, etc. <p>
-   * <i>Note:</i> We treat '_' as a lowercase letter, sort of like many
-   * programming languages.  We do this because we use '_' joining of
-   * tokens in some applications like RTE.
-   *
-   * @param s           The String whose shape is to be returned
-   * @param knownLCWords If this is non-null and non-empty, mark words whose
-   *                    lower case form is found in the
-   *                    Collection of known lower case words
-   * @return The word shape
-   */
-  private static String wordShapeDan2(String s, Collection<String> knownLCWords) {
-    StringBuilder sb = new StringBuilder("WT-");
-    char lastM = '~';
-    boolean nonLetters = false;
-    int len = s.length();
-    for (int i = 0; i < len; i++) {
-      char c = s.charAt(i);
-      char m = c;
-      if (Character.isDigit(c)) {
-        m = 'd';
-      } else if (Character.isLowerCase(c) || c == '_') {
-        m = 'x';
-      } else if (Character.isUpperCase(c)) {
-        m = 'X';
-      }
-      if (m != 'x' && m != 'X') {
-        nonLetters = true;
-      }
-      if (m != lastM) {
-        sb.append(m);
-      }
-      lastM = m;
-    }
-    if (len <= 3) {
-      sb.append(':').append(len);
-    }
-    if (knownLCWords != null) {
-      if (!nonLetters && knownLCWords.contains(s.toLowerCase())) {
-        sb.append('k');
-      }
-    }
-    // System.err.println("wordShapeDan2: " + s + " became " + sb);
-    return sb.toString();
-  }
-
-  private static String wordShapeJenny1(String s, Collection<String> knownLCWords) {
-    StringBuilder sb = new StringBuilder("WT-");
-    char lastM = '~';
-    boolean nonLetters = false;
-    for (int i = 0; i < s.length(); i++) {
-      char c = s.charAt(i);
-      char m = c;
-
-      if (Character.isDigit(c)) {
-        m = 'd';
-      } else if (Character.isLowerCase(c)) {
-        m = 'x';
-      } else if (Character.isUpperCase(c)) {
-        m = 'X';
-      }
-
-      for (String gr : greek) {
-        if (s.startsWith(gr, i)) {
-          m = 'g';
-          i = i + gr.length() - 1;
-          //System.out.println(s + "  ::  " + s.substring(i+1));
-          break;
-        }
-      }
-
-      if (m != 'x' && m != 'X') {
-        nonLetters = true;
-      }
-      if (m != lastM) {
-        sb.append(m);
-      }
-      lastM = m;
-
-
-    }
-    if (s.length() <= 3) {
-      sb.append(':').append(s.length());
-    }
-    if (knownLCWords != null) {
-      if ( ! nonLetters && knownLCWords.contains(s.toLowerCase())) {
-        sb.append('k');
-      }
-    }
-    //System.out.println(s+" became "+sb);
-    return sb.toString();
-  }
-
-
-  /** Note: the optimizations in wordShapeChris2 would break if BOUNDARY_SIZE
-   * was greater than the shortest greek word, so valid values are: 0, 1, 2, 3.
-   */
-  private static final int BOUNDARY_SIZE = 2;
-
-  /**
-   * This one picks up on Dan2 ideas, but seeks to make less distinctions
-   * mid sequence by sorting for long words, but to maintain extra
-   * distinctions for short words. It exactly preserves the character shape
-   * of the first and last 2 (i.e., BOUNDARY_SIZE) characters and then
-   * will record shapes that occur between them (perhaps only if they are
-   * different)
-   *
-   * @param s The String to find the word shape of
-   * @param omitIfInBoundary If true, character classes present in the
-   *                         first or last two (i.e., BOUNDARY_SIZE) letters
-   *                         of the word are not also registered
-   *                         as classes that appear in the middle of the word.
-   * @param knownLCWords If non-null and non-empty, tag with a "k" suffix words
-   *                    that are in this list when lowercased (representing
-   *                    that the word is "known" as a lowercase word).
-   * @return A word shape for the word.
-   */
-  private static String wordShapeChris2(String s, boolean omitIfInBoundary, Collection<String> knownLCWords) {
-    int len = s.length();
-    if (len <= BOUNDARY_SIZE * 2) {
-      return wordShapeChris2Short(s, len, knownLCWords);
-    } else {
-      return wordShapeChris2Long(s, omitIfInBoundary, len, knownLCWords);
-    }
-  }
-
-  // Do the simple case of words <= BOUNDARY_SIZE * 2 (i.e., 4) with only 1 object allocation!
-  private static String wordShapeChris2Short(String s, int len, Collection<String> knownLCWords) {
-    int sbLen = (knownLCWords != null) ? len + 1: len;  // markKnownLC makes String 1 longer
-    final StringBuilder sb = new StringBuilder(sbLen);
-    boolean nonLetters = false;
-
-    for (int i = 0; i < len; i++) {
-      char c = s.charAt(i);
-      char m = c;
-      if (Character.isDigit(c)) {
-        m = 'd';
-      } else if (Character.isLowerCase(c)) {
-        m = 'x';
-      } else if (Character.isUpperCase(c) || Character.isTitleCase(c)) {
-        m = 'X';
-      }
-      for (String gr : greek) {
-        if (s.startsWith(gr, i)) {
-          m = 'g';
-          //System.out.println(s + "  ::  " + s.substring(i+1));
-          i += gr.length() - 1;
-          // System.out.println("Position skips to " + i);
-          break;
-        }
-      }
-      if (m != 'x' && m != 'X') {
-        nonLetters = true;
-      }
-
-      sb.append(m);
-    }
-
-    if (knownLCWords != null) {
-      if ( ! nonLetters && knownLCWords.contains(s.toLowerCase())) {
-        sb.append('k');
-      }
-    }
-    // System.out.println(s + " became " + sb);
-    return sb.toString();
-  }
-
-  // introduce sizes and optional allocation to reduce memory churn demands;
-  // this class could blow a lot of memory if used in a tight loop,
-  // as the naive version allocates lots of kind of heavyweight objects
-  // endSB should be of length BOUNDARY_SIZE
-  // sb is maximally of size s.length() + 1, but is usually (much) shorter. The +1 might happen if markKnownLC is true and it applies
-  // boundSet is maximally of size BOUNDARY_SIZE * 2 (and is often smaller)
-  // seenSet is maximally of size s.length() - BOUNDARY_SIZE * 2, but might often be of size <= 4. But it has no initial size allocation
-  // But we want the initial size to be greater than BOUNDARY_SIZE * 2 * (4/3) since the default loadfactor is 3/4.
-  // That is, of size 6, which become 8, since HashMaps are powers of 2.  Still, it's half the size
-  private static String wordShapeChris2Long(String s, boolean omitIfInBoundary, int len, Collection<String> knownLCWords) {
-    final char[] beginChars = new char[BOUNDARY_SIZE];
-    final char[] endChars = new char[BOUNDARY_SIZE];
-    int beginUpto = 0;
-    int endUpto = 0;
-    final Set<Character> seenSet = new TreeSet<Character>();  // TreeSet guarantees stable ordering; has no size parameter
-
-    boolean nonLetters = false;
-
-    for (int i = 0; i < len; i++) {
-      int iIncr = 0;
-      char c = s.charAt(i);
-      char m = c;
-      if (Character.isDigit(c)) {
-        m = 'd';
-      } else if (Character.isLowerCase(c)) {
-        m = 'x';
-      } else if (Character.isUpperCase(c) || Character.isTitleCase(c)) {
-        m = 'X';
-      }
-      for (String gr : greek) {
-        if (s.startsWith(gr, i)) {
-          m = 'g';
-          //System.out.println(s + "  ::  " + s.substring(i+1));
-          iIncr = gr.length() - 1;
-          break;
-        }
-      }
-      if (m != 'x' && m != 'X') {
-        nonLetters = true;
-      }
-
-      if (i < BOUNDARY_SIZE) {
-        beginChars[beginUpto++] = m;
-      } else if (i < len - BOUNDARY_SIZE) {
-        seenSet.add(Character.valueOf(m));
-      } else {
-        endChars[endUpto++] = m;
-      }
-      i += iIncr;
-      // System.out.println("Position skips to " + i);
-    }
-
-    // Calculate size. This may be an upperbound, but is often correct
-    int sbSize = beginUpto + endUpto + seenSet.size();
-    if (knownLCWords != null) { sbSize++; }
-    final StringBuilder sb = new StringBuilder(sbSize);
-    // put in the beginning chars
-    sb.append(beginChars, 0, beginUpto);
-    // put in the stored ones sorted
-    if (omitIfInBoundary) {
-      for (Character chr : seenSet) {
-        char ch = chr.charValue();
-        boolean insert = true;
-        for (int i = 0; i < beginUpto; i++) {
-          if (beginChars[i] == ch) {
-            insert = false;
-            break;
-          }
-        }
-        for (int i = 0; i < endUpto; i++) {
-          if (endChars[i] == ch) {
-            insert = false;
-            break;
-          }
-        }
-        if (insert) {
-          sb.append(ch);
-        }
-      }
-    } else {
-      for (Character chr : seenSet) {
-        sb.append(chr.charValue());
-      }
-    }
-    // and add end ones
-    sb.append(endChars, 0, endUpto);
-
-    if (knownLCWords != null) {
-      if (!nonLetters && knownLCWords.contains(s.toLowerCase())) {
-        sb.append('k');
-      }
-    }
-    // System.out.println(s + " became " + sb);
-    return sb.toString();
-  }
-
-
-  private static char chris4equivalenceClass(final char c) {
-    int type = Character.getType(c);
-    if (Character.isDigit(c) || type == Character.LETTER_NUMBER
-            || type == Character.OTHER_NUMBER
-            || "一二三四五六七八九十零〇百千万亿兩○◯".indexOf(c) > 0) {
-      // include Chinese numbers that are just of unicode type OTHER_LETTER (and a couple of round symbols often used (by mistake?) for zeroes)
-      return 'd';
-    } else if (c == '第') {
-      return 'o'; // detect those Chinese ordinals!
-    } else if (c == '年' || c == '月' || c == '日') { // || c == '号') {
-      return 'D'; // Chinese date characters.
-    } else if (Character.isLowerCase(c)) {
-      return 'x';
-    } else if (Character.isUpperCase(c) || Character.isTitleCase(c)) {
-      return 'X';
-    } else if (Character.isWhitespace(c) || Character.isSpaceChar(c)) {
-      return 's';
-    } else if (type == Character.OTHER_LETTER) {
-      return 'c'; // Chinese characters, etc. without case
-    } else if (type == Character.CURRENCY_SYMBOL) {
-      return '$';
-    } else if (type == Character.MATH_SYMBOL) {
-      return '+';
-    } else if (type == Character.OTHER_SYMBOL || c == '|') {
-      return '|';
-    } else if (type == Character.START_PUNCTUATION) {
-      return '(';
-    } else if (type == Character.END_PUNCTUATION) {
-      return ')';
-    } else if (type == Character.INITIAL_QUOTE_PUNCTUATION) {
-      return '`';
-    } else if (type == Character.FINAL_QUOTE_PUNCTUATION || c == '\'') {
-      return '\'';
-    } else if (c == '%') {
-      return '%';
-    } else if (type == Character.OTHER_PUNCTUATION) {
-      return '.';
-    } else if (type == Character.CONNECTOR_PUNCTUATION) {
-      return '_';
-    } else if (type == Character.DASH_PUNCTUATION) {
-      return '-';
-    } else {
-      return 'q';
-    }
-  }
-
-  /**
-   * This one picks up on Dan2 ideas, but seeks to make less distinctions
-   * mid sequence by sorting for long words, but to maintain extra
-   * distinctions for short words, by always recording the class of the
-   * first and last two characters of the word.
-   * Compared to chris2 on which it is based,
-   * it uses more Unicode classes, and so collapses things like
-   * punctuation more, and might work better with real unicode.
-   *
-   * @param s The String to find the word shape of
-   * @param omitIfInBoundary If true, character classes present in the
-   *                         first or last two (i.e., BOUNDARY_SIZE) letters
-   *                         of the word are not also registered
-   *                         as classes that appear in the middle of the word.
-   * @param knownLCWords If non-null and non-empty, tag with a "k" suffix words
-   *                    that are in this list when lowercased (representing
-   *                    that the word is "known" as a lowercase word).
-   * @return A word shape for the word.
-   */
-  private static String wordShapeChris4(String s, boolean omitIfInBoundary, Collection<String> knownLCWords) {
-    int len = s.length();
-    if (len <= BOUNDARY_SIZE * 2) {
-      return wordShapeChris4Short(s, len, knownLCWords);
-    } else {
-      return wordShapeChris4Long(s, omitIfInBoundary, len, knownLCWords);
-    }
-  }
-
-  // Do the simple case of words <= BOUNDARY_SIZE * 2 (i.e., 4) with only 1 object allocation!
-  private static String wordShapeChris4Short(String s, int len, Collection<String> knownLCWords) {
-    int sbLen = (knownLCWords != null) ? len + 1: len;  // markKnownLC makes String 1 longer
-    final StringBuilder sb = new StringBuilder(sbLen);
-    boolean nonLetters = false;
-
-    for (int i = 0; i < len; i++) {
-      char c = s.charAt(i);
-      char m = chris4equivalenceClass(c);
-      for (String gr : greek) {
-        if (s.startsWith(gr, i)) {
-          m = 'g';
-          //System.out.println(s + "  ::  " + s.substring(i+1));
-          i += gr.length() - 1;
-          // System.out.println("Position skips to " + i);
-          break;
-        }
-      }
-      if (m != 'x' && m != 'X') {
-        nonLetters = true;
-      }
-
-      sb.append(m);
-    }
-
-    if (knownLCWords != null) {
-      if ( ! nonLetters && knownLCWords.contains(s.toLowerCase())) {
-        sb.append('k');
-      }
-    }
-    // System.out.println(s + " became " + sb);
-    return sb.toString();
-  }
-
-
-  private static String wordShapeChris4Long(String s, boolean omitIfInBoundary, int len, Collection<String> knownLCWords) {
-    StringBuilder sb = new StringBuilder(s.length() + 1);
-    StringBuilder endSB = new StringBuilder(BOUNDARY_SIZE);
-    Set<Character> boundSet = new HashSet<Character>(BOUNDARY_SIZE * 2);
-    Set<Character> seenSet = new TreeSet<Character>();  // TreeSet guarantees stable ordering
-    boolean nonLetters = false;
-    for (int i = 0; i < len; i++) {
-      char c = s.charAt(i);
-      char m = chris4equivalenceClass(c);
-      int iIncr = 0;
-      for (String gr : greek) {
-        if (s.startsWith(gr, i)) {
-          m = 'g';
-          iIncr = gr.length() - 1;
-          //System.out.println(s + "  ::  " + s.substring(i+1));
-          break;
-        }
-      }
-      if (m != 'x' && m != 'X') {
-        nonLetters = true;
-      }
-
-      if (i < BOUNDARY_SIZE) {
-        sb.append(m);
-        boundSet.add(Character.valueOf(m));
-      } else if (i < len - BOUNDARY_SIZE) {
-        seenSet.add(Character.valueOf(m));
-      } else {
-        boundSet.add(Character.valueOf(m));
-        endSB.append(m);
-      }
-      // System.out.println("Position " + i + " --> " + m);
-      i += iIncr;
-    }
-    // put in the stored ones sorted and add end ones
-    for (Character chr : seenSet) {
-      if (!omitIfInBoundary || !boundSet.contains(chr)) {
-        char ch = chr.charValue();
-        sb.append(ch);
-      }
-    }
-    sb.append(endSB);
-
-    if (knownLCWords != null) {
-      if (!nonLetters && knownLCWords.contains(s.toLowerCase())) {
-        sb.append('k');
-      }
-    }
-    // System.out.println(s + " became " + sb);
-    return sb.toString();
-  }
-
-
-  /**
-   * Returns a fine-grained word shape classifier, that equivalence classes
-   * lower and upper case and digits, and collapses sequences of the
-   * same type, but keeps all punctuation.  This adds an extra recognizer
-   * for a greek letter embedded in the String, which is useful for bio.
-   */
-  private static String wordShapeDan2Bio(String s, Collection<String> knownLCWords) {
-    if (containsGreekLetter(s)) {
-      return wordShapeDan2(s, knownLCWords) + "-GREEK";
-    } else {
-      return wordShapeDan2(s, knownLCWords);
-    }
-  }
-
-
-  /** List of greek letters for bio.  We omit eta, mu, nu, xi, phi, chi, psi.
-   *  Maybe should omit rho too, but it is used in bio "Rho kinase inhibitor".
-   */
-  private static final String[] greek = {"alpha", "beta", "gamma", "delta", "epsilon", "zeta", "theta", "iota", "kappa", "lambda", "omicron", "rho", "sigma", "tau", "upsilon", "omega"};
-  private static final Pattern biogreek = Pattern.compile("alpha|beta|gamma|delta|epsilon|zeta|theta|iota|kappa|lambda|omicron|rho|sigma|tau|upsilon|omega", Pattern.CASE_INSENSITIVE);
-
-
-  /**
-   * Somewhat ad-hoc list of only greek letters that bio people use, partly
-   * to avoid false positives on short ones.
-   * @param s String to check for Greek
-   * @return true iff there is a greek lette embedded somewhere in the String
-   */
-  private static boolean containsGreekLetter(String s) {
-    Matcher m = biogreek.matcher(s);
-    return m.find();
-  }
-
-
-  /** This one equivalence classes all strings into one of 24 semantically
-   *  informed classes, somewhat similarly to the function specified in the
-   *  BBN Nymble NER paper (Bikel et al. 1997).
-   *  <p>
-   *  Note that it regards caseless non-Latin letters as lowercase.
-   *
-   *  @param s String to word class
-   *  @return The string's class
-   */
-  private static String wordShapeChris1(String s) {
-    int length = s.length();
-    if (length == 0) {
-      return "SYMBOL"; // unclear if this is sensible, but it's what a length 0 String becomes....
-    }
-
-    boolean cardinal = false;
-    boolean number = true;
-    boolean seenDigit = false;
-    boolean seenNonDigit = false;
-
-    for (int i = 0; i < length; i++) {
-      char ch = s.charAt(i);
-      boolean digit = Character.isDigit(ch);
-      if (digit) {
-        seenDigit = true;
-      } else {
-        seenNonDigit = true;
-      }
-      // allow commas, decimals, and negative numbers
-      digit = digit || ch == '.' || ch == ',' || (i == 0 && (ch == '-' || ch == '+'));
-      if (!digit) {
-        number = false;
-      }
-    }
-
-    if ( ! seenDigit) {
-      number = false;
-    } else if ( ! seenNonDigit) {
-      cardinal = true;
-    }
-
-    if (cardinal) {
-      if (length < 4) {
-        return "CARDINAL13";
-      } else if (length == 4) {
-        return "CARDINAL4";
-      } else {
-        return "CARDINAL5PLUS";
-      }
-    } else if (number) {
-      return "NUMBER";
-    }
-
-    boolean seenLower = false;
-    boolean seenUpper = false;
-    boolean allCaps = true;
-    boolean allLower = true;
-    boolean initCap = false;
-    boolean dash = false;
-    boolean period = false;
-
-    for (int i = 0; i < length; i++) {
-      char ch = s.charAt(i);
-      boolean up = Character.isUpperCase(ch);
-      boolean let = Character.isLetter(ch);
-      boolean tit = Character.isTitleCase(ch);
-      if (ch == '-') {
-        dash = true;
-      } else if (ch == '.') {
-        period = true;
-      }
-
-      if (tit) {
-        seenUpper = true;
-        allLower = false;
-        seenLower = true;
-        allCaps = false;
-      } else if (up) {
-        seenUpper = true;
-        allLower = false;
-      } else if (let) {
-        seenLower = true;
-        allCaps = false;
-      }
-      if (i == 0 && (up || tit)) {
-        initCap = true;
-      }
-    }
-
-    if (length == 2 && initCap && period) {
-      return "ACRONYM1";
-    } else if (seenUpper && allCaps && !seenDigit && period) {
-      return "ACRONYM";
-    } else if (seenDigit && dash && !seenUpper && !seenLower) {
-      return "DIGIT-DASH";
-    } else if (initCap && seenLower && seenDigit && dash) {
-      return "CAPITALIZED-DIGIT-DASH";
-    } else if (initCap && seenLower && seenDigit) {
-      return "CAPITALIZED-DIGIT";
-    } else if (initCap && seenLower && dash) {
-      return "CAPITALIZED-DASH";
-    } else if (initCap && seenLower) {
-      return "CAPITALIZED";
-    } else if (seenUpper && allCaps && seenDigit && dash) {
-      return "ALLCAPS-DIGIT-DASH";
-    } else if (seenUpper && allCaps && seenDigit) {
-      return "ALLCAPS-DIGIT";
-    } else if (seenUpper && allCaps && dash) {
-      return "ALLCAPS";
-    } else if (seenUpper && allCaps) {
-      return "ALLCAPS";
-    } else if (seenLower && allLower && seenDigit && dash) {
-      return "LOWERCASE-DIGIT-DASH";
-    } else if (seenLower && allLower && seenDigit) {
-      return "LOWERCASE-DIGIT";
-    } else if (seenLower && allLower && dash) {
-      return "LOWERCASE-DASH";
-    } else if (seenLower && allLower) {
-      return "LOWERCASE";
-    } else if (seenLower && seenDigit) {
-      return "MIXEDCASE-DIGIT";
-    } else if (seenLower) {
-      return "MIXEDCASE";
-    } else if (seenDigit) {
-      return "SYMBOL-DIGIT";
-    } else {
-      return "SYMBOL";
-    }
-  }
-
-
-  /**
-   * Just collapses digits to 9 characters.
-   * Does lazy copying of String.
-   *
-   * @param s String to find word shape of
-   * @return The same string except digits are equivalence classed to 9.
-   */
-  private static String wordShapeDigits(final String s) {
-    char[] outChars = null;
-
-    for (int i = 0; i < s.length(); i++) {
-      char c = s.charAt(i);
-      if (Character.isDigit(c)) {
-        if (outChars == null) {
-          outChars = s.toCharArray();
-        }
-        outChars[i] = '9';
-      }
-    }
-    if (outChars == null) {
-      // no digit found
-      return s;
-    } else {
-      return new String(outChars);
-    }
-  }
-
-
-
-  /**
-   * Usage: <code>java edu.stanford.nlp.process.WordShapeClassifier
-   * [-wordShape name] string+ </code><br>
-   * where <code>name</code> is an argument to <code>lookupShaper</code>.
-   * Known names have patterns along the lines of: dan[12](bio)?(UseLC)?,
-   * jenny1(useLC)?, chris[1234](useLC)?.  If you don't specify a word shape
-   * function, you get chris1.
-   *
-   * @param args Command-line arguments, as above.
-   */
-  public static void main(String[] args) {
-    int i = 0;
-    int classifierToUse = WORDSHAPECHRIS1;
-    if (args.length == 0) {
-      System.out.println("edu.stanford.nlp.process.WordShapeClassifier [-wordShape name] string+");
-    } else if (args[0].charAt(0) == '-') {
-      if (args[0].equals("-wordShape") && args.length >= 2) {
-        classifierToUse = lookupShaper(args[1]);
-        i += 2;
-      } else {
-        System.err.println("Unknown flag: " + args[0]);
-        i++;
-      }
-    }
-
-    for (; i < args.length; i++) {
-      System.out.print(args[i] + ": ");
-      System.out.println(wordShape(args[i], classifierToUse));
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WordToSentenceProcessor.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WordToSentenceProcessor.java
deleted file mode 100644
index 3f0ba6d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WordToSentenceProcessor.java
+++ /dev/null
@@ -1,311 +0,0 @@
-package edu.stanford.nlp.process;
-
-import java.util.*;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-import edu.stanford.nlp.io.EncodingPrintWriter;
-import edu.stanford.nlp.ling.Document;
-import edu.stanford.nlp.ling.HasWord;
-import edu.stanford.nlp.ling.CoreAnnotations;
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.Generics;
-
-/**
- * Transforms a Document of Words into a Document of Sentences by grouping the
- * Words.  The word stream is assumed to already be adequately tokenized,
- * and this class just divides the list into sentences, perhaps discarding
- * some separator tokens based on the setting of the following three sets:
- * <ul>
- * <li>sentenceBoundaryTokens are tokens that are left in a sentence, but are
- * to be regarded as ending a sentence.  A canonical example is a period.
- * If two of these follow each other, the second will be a sentence
- * consisting of only the sentenceBoundaryToken.
- * <li>sentenceBoundaryFollowers are tokens that are left in a sentence, and
- * which can follow a sentenceBoundaryToken while still belonging to
- * the previous sentence.  They cannot begin a sentence (except at the
- * beginning of a document).  A canonical example is a close parenthesis
- * ')'.
- * <li>sentenceBoundaryToDiscard are tokens which separate sentences and
- * which should be thrown away.  In web documents, a typical example would
- * be a '{@code <p>}' tag.  If two of these follow each other, they are
- * coalesced: no empty Sentence is output.  The end-of-file is not
- * represented in this Set, but the code behaves as if it were a member.
- * <li>sentenceRegionBeginPattern A regular expression for marking the start
- * of a sentence region.  Not included in the sentence.
- * <li>sentenceRegionEndPattern A regular expression for marking the end
- * of a sentence region.  Not included in the sentence.
- * </ul>
- * See DocumentPreprocessor for a class with a main method that will call this
- * and cut a text file up into sentences.
- *
- * @author Joseph Smarr (jsmarr@stanford.edu)
- * @author Christopher Manning
- * @author Teg Grenager (grenager@stanford.edu)
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) (Templatization)
- *
- * @param <IN> The type of the tokens in the sentences
- */
-public class WordToSentenceProcessor<IN> implements ListProcessor<IN, List<IN>> {
-
-  private static final boolean DEBUG = false;
-
-  /**
-   * Set of tokens (Strings) that qualify as sentence-final tokens.
-   */
-  private Pattern sentenceBoundaryTokenPattern;
-
-  /**
-   * Set of tokens (Strings) that qualify as tokens that can follow
-   * what normally counts as an end of sentence token, and which are
-   * attributed to the preceding sentence.  For example ")" coming after
-   * a period.
-   */
-  private Set<String> sentenceBoundaryFollowers;
-
-  /**
-   * Set of tokens (Strings) that are sentence boundaries to be discarded.
-   */
-  private Set<Pattern> sentenceBoundaryToDiscard;
-
-  private Pattern sentenceRegionBeginPattern;
-
-  private Pattern sentenceRegionEndPattern;
-
-  private boolean isOneSentence;
-
-  public void setSentenceBoundaryToDiscard(Set<String> set) {
-  	sentenceBoundaryToDiscard = new HashSet<Pattern>();
-  	for(String s: set){
-            sentenceBoundaryToDiscard.add(Pattern.compile(s));
-  	}
-  }
-
-  public boolean isOneSentence() {
-    return isOneSentence;
-  }
-
-  public void setOneSentence(boolean oneSentence) {
-    isOneSentence = oneSentence;
-  }
-
-  public void addHtmlSentenceBoundaryToDiscard(Set<String> set) {
-    if (sentenceBoundaryToDiscard == null) {
-      sentenceBoundaryToDiscard = new HashSet<Pattern>();
-    }
-    for (String s: set) {
-      sentenceBoundaryToDiscard.addAll(toHtmlPattern(s));
-    }
-  }
-
-  private static Set<Pattern> toHtmlPattern(String tag) {
-    Set<Pattern> patterns = new HashSet<Pattern>();
-    patterns.add(Pattern.compile("<\\s*/?\\s*" + tag + "\\s*/?\\s*>", Pattern.CASE_INSENSITIVE));
-    patterns.add(Pattern.compile("<\\s*" + tag + "\\s+[^>]+>", Pattern.CASE_INSENSITIVE));
-    return patterns;
-  }
-
-  private boolean matchesSentenceBoundaryToDiscard(String word) {
-    for(Pattern p: sentenceBoundaryToDiscard){
-      Matcher m = p.matcher(word);
-      if(m.matches()){
-        return true;
-      }
-    }
-    return false;
-  }
-
-  public List<List<IN>> process(List<? extends IN> words) {
-    if (isOneSentence) {
-      List<List<IN>> sentences = Generics.newArrayList();
-      sentences.add(new ArrayList<IN>(words));
-      return sentences;
-    } else {
-      return wordsToSentences(words);
-    }
-  }
-
-  /**
-   * Returns a List of Lists where each element is built from a run
-   * of Words in the input Document. Specifically, reads through each word in
-   * the input document and breaks off a sentence after finding a valid
-   * sentence boundary token or end of file.
-   * Note that for this to work, the words in the
-   * input document must have been tokenized with a tokenizer that makes
-   * sentence boundary tokens their own tokens (e.g., {@link PTBTokenizer}).
-   *
-   * @param words A list of already tokenized words (must implement HasWord or be a String)
-   * @return A list of Sentence
-   * @see #WordToSentenceProcessor(String, Set, Set, Pattern, Pattern)
-   */
-  public List<List<IN>> wordsToSentences(List<? extends IN> words) {
-    List<List<IN>> sentences = Generics.newArrayList();
-    List<IN> currentSentence = null;
-    List<IN> lastSentence = null;
-    boolean insideRegion = false;
-    for (IN o: words) {
-      String word;
-      if (o instanceof HasWord) {
-        HasWord h = (HasWord) o;
-        word = h.word();
-      } else if (o instanceof String) {
-        word = (String) o;
-      } else if (o instanceof CoreMap) {
-        word = ((CoreMap)o).get(CoreAnnotations.TextAnnotation.class);
-      } else {
-        throw new RuntimeException("Expected token to be either Word or String.");
-      }
-
-      boolean forcedEnd = false;
-      if (o instanceof CoreMap) {
-        Boolean forcedEndValue = 
-          ((CoreMap)o).get(CoreAnnotations.ForcedSentenceEndAnnotation.class);
-        if (forcedEndValue != null)
-          forcedEnd = forcedEndValue;
-      }
-
-      if (DEBUG) {
-        EncodingPrintWriter.err.println("Word is " + word, "UTF-8");
-      }
-      if (currentSentence == null) {
-        currentSentence = new ArrayList<IN>();
-      }
-      if (sentenceRegionBeginPattern != null && ! insideRegion) {
-        if (sentenceRegionBeginPattern.matcher(word).matches()) {
-          insideRegion = true;
-        }
-        if (DEBUG) {
-          System.err.println("  outside region");
-        }
-        continue;
-      }
-      if (sentenceBoundaryFollowers.contains(word) && lastSentence != null && currentSentence.isEmpty()) {
-        lastSentence.add(o);
-        if (DEBUG) {
-          System.err.println("  added to last");
-        }
-      } else {
-        boolean newSent = false;
-        if (matchesSentenceBoundaryToDiscard(word)) {
-          newSent = true;
-        } else if (sentenceRegionEndPattern != null && sentenceRegionEndPattern.matcher(word).matches()) {
-          insideRegion = false;
-          newSent = true;
-        } else if (sentenceBoundaryTokenPattern.matcher(word).matches()) {
-          currentSentence.add(o);
-          if (DEBUG) {
-            System.err.println("  is sentence boundary; added to current");
-          }
-          newSent = true;
-        } else if (forcedEnd) {
-          currentSentence.add(o);
-          newSent = true;
-          if (DEBUG) {
-            System.err.println("  annotated to be the end of a sentence");
-          }
-        } else {
-          currentSentence.add(o);
-          if (DEBUG) {
-            System.err.println("  added to current");
-          }
-        }
-        if (newSent && currentSentence.size() > 0) {
-          if (DEBUG) {
-            System.err.println("  beginning new sentence");
-          }
-          sentences.add(currentSentence);
-          // adds this sentence now that it's complete
-          lastSentence = currentSentence;
-          currentSentence = null; // clears the current sentence
-        }
-      }
-    }
-
-    // add any words at the end, even if there isn't a sentence
-    // terminator at the end of file
-    if (currentSentence != null && currentSentence.size() > 0) {
-      sentences.add(currentSentence); // adds last sentence
-    }
-    return sentences;
-  }
-
-
-
-  public <L, F> Document<L, F, List<IN>> processDocument(Document<L, F, IN> in) {
-    Document<L, F, List<IN>> doc = in.blankDocument();
-    doc.addAll(process(in));
-    return doc;
-  }
-
-  /**
-   * Create a <code>WordToSentenceProcessor</code> using a sensible default
-   * list of tokens to split on.  The default set is: {".","?","!"} and
-   * any combination of ! or ?, as in !!!?!?!?!!!?!!?!!!
-   */
-  public WordToSentenceProcessor() {
-    this("\\.|[!?]+");
-  }
-
-  /**
-   * Flexibly set the set of acceptable sentence boundary tokens, but with
-   * a default set of allowed boundary following tokens (based on English
-   * and Penn Treebank encoding).
-   * The allowed set of boundary followers is:
-   * {")","]","\"","\'", "''", "-RRB-", "-RSB-", "-RCB-"}.
-   *
-   * @param boundaryTokens The set of boundary tokens
-   */
-  public WordToSentenceProcessor(String boundaryTokens) {
-    this(boundaryTokens, Generics.newHashSet(Arrays.asList(")", "]", "\"", "\'", "''", "-RRB-", "-RSB-", "-RCB-")));
-  }
-
-  /**
-   * Flexibly set the set of acceptable sentence boundary tokens and
-   * also the set of tokens commonly following sentence boundaries, and
-   * the set of discarded separator tokens.
-   * The default set of discarded separator tokens is: {"\n"}.
-   */
-  public WordToSentenceProcessor(String boundaryTokens, Set<String> boundaryFollowers) {
-    this(boundaryTokens, boundaryFollowers, Collections.singleton("\n"));
-  }
-
-
-  /**
-   * Flexibly set the set of acceptable sentence boundary tokens,
-   * the set of tokens commonly following sentence boundaries, and also
-   * the set of tokens that are sentences boundaries that should be
-   * discarded.
-   */
-  public WordToSentenceProcessor(String boundaryTokens, 
-                                 Set<String> boundaryFollowers,
-                                 Set<String> boundaryToDiscard) {
-    this(boundaryTokens, boundaryFollowers, boundaryToDiscard, null, null);
-  }
-
-  public WordToSentenceProcessor(Pattern regionBeginPattern, Pattern regionEndPattern) {
-    this("", Collections.<String>emptySet(),
-         Collections.<String>emptySet(), regionBeginPattern, regionEndPattern);
-  }
-
-  /**
-   * Flexibly set the set of acceptable sentence boundary tokens,
-   * the set of tokens commonly following sentence boundaries, and also
-   * the set of tokens that are sentences boundaries that should be
-   * discarded.
-   * This is private because it is a dangerous constructor. It's not clear what the semantics
-   * should be if there are both boundary token sets, and patterns to match.
-   */
-  private WordToSentenceProcessor(String boundaryTokens, Set<String> boundaryFollowers, Set<String> boundaryToDiscard, Pattern regionBeginPattern, Pattern regionEndPattern) {
-    sentenceBoundaryTokenPattern = Pattern.compile(boundaryTokens);
-    sentenceBoundaryFollowers = boundaryFollowers;
-    setSentenceBoundaryToDiscard(boundaryToDiscard);
-    sentenceRegionBeginPattern = regionBeginPattern;
-    sentenceRegionEndPattern = regionEndPattern;
-    if (DEBUG) {
-      EncodingPrintWriter.err.println("WordToSentenceProcessor: boundaryTokens=" + boundaryTokens, "UTF-8");
-      EncodingPrintWriter.err.println("  boundaryFollowers=" + boundaryFollowers, "UTF-8");
-      EncodingPrintWriter.err.println("  boundaryToDiscard=" + boundaryToDiscard, "UTF-8");
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WordTokenFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WordTokenFactory.java
deleted file mode 100644
index 95e65d1..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/process/WordTokenFactory.java
+++ /dev/null
@@ -1,17 +0,0 @@
-package edu.stanford.nlp.process;
-
-
-import edu.stanford.nlp.ling.Word;
-
-/**
- * Constructs a Word from a String. This is the default
- * TokenFactory for PTBLexer. It discards the positional information.
- *
- * @author Jenny Finkel
- */
-public class WordTokenFactory implements LexedTokenFactory<Word> {
-
-  public Word makeToken(String str, int begin, int length) {
-    return new Word(str, begin, begin+length);
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/BeamBestSequenceFinder.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/BeamBestSequenceFinder.java
deleted file mode 100644
index eed98df..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/BeamBestSequenceFinder.java
+++ /dev/null
@@ -1,476 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import edu.stanford.nlp.util.Beam;
-import edu.stanford.nlp.util.Scored;
-import edu.stanford.nlp.util.ScoredComparator;
-
-import java.util.Iterator;
-import java.util.NoSuchElementException;
-import java.util.Arrays;
-
-/**
- * An class capable of computing the best sequence given a SequenceModel. Uses beam search.
- * @author Dan Klein
- * @author Teg Grenager (grenager@stanford.edu)
- */
-public class BeamBestSequenceFinder implements BestSequenceFinder {
-
-  /**
-   * A class for testing.
-   */
-  private static class TestSequenceModel implements SequenceModel {
-
-    private int[] correctTags = {0, 0, 1, 2, 3, 4, 5, 6, 7, 6, 5, 4, 3, 2, 1, 0, 0};
-    private int[] allTags = {1, 2, 3, 4, 5, 6, 7, 8, 9};
-    private int[] midTags = {0, 1, 2, 3};
-    private int[] nullTags = {0};
-
-    public int length() {
-      return correctTags.length - leftWindow() - rightWindow();
-    }
-
-    public int leftWindow() {
-      return 2;
-    }
-
-    public int rightWindow() {
-      return 2;
-    }
-
-    public int[] getPossibleValues(int pos) {
-      if (pos < leftWindow() || pos >= leftWindow() + length()) {
-        return nullTags;
-      }
-      if (correctTags[pos] < 4) {
-        return midTags;
-      }
-      return allTags;
-    }
-
-    public double scoreOf(int[] sequence) {
-      throw new UnsupportedOperationException();
-    }
-
-    public double scoreOf(int[] tags, int pos) {
-      //System.out.println("Was asked: "+arrayToString(tags,10)+" at "+pos);
-      boolean match = true;
-      boolean ones = true;
-      for (int loc = pos - leftWindow(); loc <= pos + rightWindow(); loc++) {
-        if (tags[loc] != correctTags[loc]) {
-          match = false;
-        }
-        if (tags[loc] != 1 && loc >= leftWindow() && loc < length() + leftWindow()) {
-          ones = false;
-        }
-      }
-      if (match) {
-        return pos;
-      }
-      if (ones) {
-        return 0;//(length()/2-1);
-      }
-      return 0;
-    }
-
-    public double[] scoresOf(int[] tags, int pos) {
-      int[] tagsAtPos = getPossibleValues(pos);
-      double[] scores = new double[tagsAtPos.length];
-      for (int t = 0; t < tagsAtPos.length; t++) {
-        tags[pos] = tagsAtPos[t];
-        scores[t] = scoreOf(tags, pos);
-      }
-      return scores;
-    }
-
-  }
-
-  public static void main(String[] args) {
-    BestSequenceFinder ti = new BeamBestSequenceFinder(4, true);
-    SequenceModel ts = new TestSequenceModel();
-    int[] bestTags = ti.bestSequence(ts);
-    System.out.println("The best sequence is .... " + Arrays.toString(bestTags));
-  }
-
-  private static int[] tmp = null;
-
-  private static class TagSeq implements Scored {
-
-    private static class TagList {
-      int tag = -1;
-      TagList last = null;
-    }
-
-    private double score = 0.0;
-
-    public double score() {
-      return score;
-    }
-
-    private int size = 0;
-
-    public int size() {
-      return size;
-    }
-
-    private TagList info = null;
-
-    public int[] tmpTags(int count, int s) {
-      if (tmp == null || tmp.length < s) {
-        //tmp = new int[1024*128];
-        tmp = new int[s];
-      }
-      TagList tl = info;
-      int i = size() - 1;
-      while (tl != null && count >= 0) {
-        tmp[i] = tl.tag;
-        i--;
-        count--;
-        tl = tl.last;
-      }
-      return tmp;
-    }
-
-    public int[] tags() {
-      int[] t = new int[size()];
-      int i = size() - 1;
-      for (TagList tl = info; tl != null; tl = tl.last) {
-        t[i] = tl.tag;
-        i--;
-      }
-      return t;
-    }
-
-    public void extendWith(int tag) {
-      TagList last = info;
-      info = new TagList();
-      info.tag = tag;
-      info.last = last;
-      size++;
-    }
-
-    public void extendWith(int tag, SequenceModel ts, int s) {
-      extendWith(tag);
-      int[] tags = tmpTags(ts.leftWindow() + 1 + ts.rightWindow(), s);
-      score += ts.scoreOf(tags, size() - ts.rightWindow() - 1);
-
-      //for (int i=0; i<tags.length; i++)
-      //System.out.print(tags[i]+" ");
-      //System.out.println("\nWith "+tag+" score was "+score);
-    }
-
-    public TagSeq tclone() {
-      TagSeq o = new TagSeq();
-      o.info = info;
-      o.size = size;
-      o.score = score;
-      return o;
-    }
-
-  } // end class TagSeq
-
-
-  private int beamSize;
-  private boolean exhaustiveStart;
-  private boolean recenter = true;
-
-  public int[] bestSequence(SequenceModel ts) {
-    return bestSequence(ts, (1024 * 128));
-  }
-
-  public int[] bestSequence(SequenceModel ts, int size) {
-
-    // Set up tag options
-    int length = ts.length();
-    int leftWindow = ts.leftWindow();
-    int rightWindow = ts.rightWindow();
-    int padLength = length + leftWindow + rightWindow;
-    int[][] tags = new int[padLength][];
-    int[] tagNum = new int[padLength];
-    for (int pos = 0; pos < padLength; pos++) {
-      tags[pos] = ts.getPossibleValues(pos);
-      tagNum[pos] = tags[pos].length;
-    }
-
-    Beam newBeam = new Beam(beamSize, ScoredComparator.ASCENDING_COMPARATOR);
-    TagSeq initSeq = new TagSeq();
-    newBeam.add(initSeq);
-    for (int pos = 0; pos < padLength; pos++) {
-      //System.out.println("scoring word " + pos + " / " + (leftWindow + length) + ", tagNum = " + tagNum[pos] + "...");
-      //System.out.flush();
-
-      Beam oldBeam = newBeam;
-      if (pos < leftWindow + rightWindow && exhaustiveStart) {
-        newBeam = new Beam(100000, ScoredComparator.ASCENDING_COMPARATOR);
-      } else {
-        newBeam = new Beam(beamSize, ScoredComparator.ASCENDING_COMPARATOR);
-      }
-      // each hypothesis gets extended and beamed
-      for (Iterator beamI = oldBeam.iterator(); beamI.hasNext();) {
-          System.out.print("#"); System.out.flush();
-        TagSeq tagSeq = (TagSeq) beamI.next();
-        for (int nextTagNum = 0; nextTagNum < tagNum[pos]; nextTagNum++) {
-          TagSeq nextSeq = tagSeq.tclone();
-
-          if (pos >= leftWindow + rightWindow) {
-            nextSeq.extendWith(tags[pos][nextTagNum], ts, size);
-          } else {
-            nextSeq.extendWith(tags[pos][nextTagNum]);
-          }
-
-          //System.out.println("Created: "+nextSeq.score()+" %% "+arrayToString(nextSeq.tags(), nextSeq.size()));
-          newBeam.add(nextSeq);
-          //		System.out.println("Beam size: "+newBeam.size()+" of "+beamSize);
-          //System.out.println("Best is: "+((Scored)newBeam.iterator().next()).score());
-        }
-      }
-      System.out.println(" done");
-      if (recenter) {
-        double max = Double.NEGATIVE_INFINITY;
-        for (Iterator beamI = newBeam.iterator(); beamI.hasNext();) {
-          TagSeq tagSeq = (TagSeq) beamI.next();
-          if (tagSeq.score > max) {
-            max = tagSeq.score;
-          }
-        }
-        for (Iterator beamI = newBeam.iterator(); beamI.hasNext();) {
-          TagSeq tagSeq = (TagSeq) beamI.next();
-          tagSeq.score -= max;
-        }
-      }
-    }
-    try {
-      TagSeq bestSeq = (TagSeq) newBeam.iterator().next();
-      int[] seq = bestSeq.tags();
-      return seq;
-    } catch (NoSuchElementException e) {
-      System.err.println("Beam empty -- no best sequence.");
-      return null;
-    }
-
-    /*
-    int[] tempTags = new int[padLength];
-
-    // Set up product space sizes
-    int[] productSizes = new int[padLength];
-
-    int curProduct = 1;
-    for (int i=0; i<leftWindow+rightWindow; i++)
-      curProduct *= tagNum[i];
-    for (int pos = leftWindow+rightWindow; pos < padLength; pos++) {
-      if (pos > leftWindow+rightWindow)
-	curProduct /= tagNum[pos-leftWindow-rightWindow-1]; // shift off
-      curProduct *= tagNum[pos]; // shift on
-      productSizes[pos-rightWindow] = curProduct;
-    }
-
-    // Score all of each window's options
-    double[][] windowScore = new double[padLength][];
-    for (int pos=leftWindow; pos<leftWindow+length; pos++) {
-      windowScore[pos] = new double[productSizes[pos]];
-      Arrays.fill(tempTags,tags[0][0]);
-      for (int product=0; product<productSizes[pos]; product++) {
-	int p = product;
-	int shift = 1;
-	for (int curPos = pos+rightWindow; curPos >= pos-leftWindow; curPos--) {
-	  tempTags[curPos] = tags[curPos][p % tagNum[curPos]];
-	  p /= tagNum[curPos];
-	  if (curPos > pos)
-	    shift *= tagNum[curPos];
-	}
-	if (tempTags[pos] == tags[pos][0]) {
-	  // get all tags at once
-	  double[] scores = ts.scoresOf(tempTags, pos);
-	  // fill in the relevant windowScores
-	  for (int t = 0; t < tagNum[pos]; t++) {
-	    windowScore[pos][product+t*shift] = scores[t];
-	  }
-	}
-      }
-    }
-    
-
-    // Set up score and backtrace arrays
-    double[][] score = new double[padLength][];
-    int[][] trace = new int[padLength][];
-    for (int pos=0; pos<padLength; pos++) {
-      score[pos] = new double[productSizes[pos]];
-      trace[pos] = new int[productSizes[pos]];
-    }
-
-    // Do forward Viterbi algorithm
-
-    // loop over the classification spot
-    //System.err.println();
-    for (int pos=leftWindow; pos<length+leftWindow; pos++) {
-      //System.err.print(".");
-      // loop over window product types
-      for (int product=0; product<productSizes[pos]; product++) {
-	// check for initial spot
-	if (pos==leftWindow) {
-	  // no predecessor type
-	  score[pos][product] = windowScore[pos][product];
-	  trace[pos][product] = -1;
-	} else {
-	  // loop over possible predecessor types
-	  score[pos][product] = Double.NEGATIVE_INFINITY;
-	  trace[pos][product] = -1;
-	  int sharedProduct = product / tagNum[pos+rightWindow];
-	  int factor = productSizes[pos] / tagNum[pos+rightWindow];
-	  for (int newTagNum=0; newTagNum<tagNum[pos-leftWindow-1]; newTagNum++) {
-	    int predProduct = newTagNum*factor+sharedProduct;
-	    double predScore = score[pos-1][predProduct]+windowScore[pos][product];
-	    if (predScore > score[pos][product]) {
-	      score[pos][product] = predScore;
-	      trace[pos][product] = predProduct;
-	    }
-	  }
-	}
-      }
-    }
-
-    // Project the actual tag sequence
-    double bestFinalScore = Double.NEGATIVE_INFINITY;
-    int bestCurrentProduct = -1;
-    for (int product=0; product<productSizes[leftWindow+length-1]; product++) {
-      if (score[leftWindow+length-1][product] > bestFinalScore) {
-	bestCurrentProduct = product;
-	bestFinalScore = score[leftWindow+length-1][product];
-      }
-    }
-    int lastProduct = bestCurrentProduct;
-    for (int last=padLength-1; last>=length-1; last--) {
-      tempTags[last] = tags[last][lastProduct % tagNum[last]];
-      lastProduct /= tagNum[last];
-    }
-    for (int pos=leftWindow+length-2; pos>=leftWindow; pos--) {
-      int bestNextProduct = bestCurrentProduct;
-      bestCurrentProduct = trace[pos+1][bestNextProduct];
-      tempTags[pos-leftWindow] = tags[pos-leftWindow][bestCurrentProduct / (productSizes[pos]/tagNum[pos-leftWindow])];
-    }
-    return tempTags;
-    */
-  }
-
-  /*
-  public int[] bestSequenceOld(TagScorer ts) {
-
-    // Set up tag options
-    int length = ts.length();
-    int leftWindow = ts.leftWindow();
-    int rightWindow = ts.rightWindow();
-    int padLength = length+leftWindow+rightWindow;
-    int[][] tags = new int[padLength][];
-    int[] tagNum = new int[padLength];
-    for (int pos = 0; pos < padLength; pos++) {
-      tags[pos] = ts.tagsAt(pos);
-      tagNum[pos] = tags[pos].length;
-    }
-
-    int[] tempTags = new int[padLength];
-
-    // Set up product space sizes
-    int[] productSizes = new int[padLength];
-
-    int curProduct = 1;
-    for (int i=0; i<leftWindow+rightWindow; i++)
-      curProduct *= tagNum[i];
-    for (int pos = leftWindow+rightWindow; pos < padLength; pos++) {
-      if (pos > leftWindow+rightWindow)
-	curProduct /= tagNum[pos-leftWindow-rightWindow-1]; // shift off
-      curProduct *= tagNum[pos]; // shift on
-      productSizes[pos-rightWindow] = curProduct;
-    }
-
-    // Score all of each window's options
-    double[][] windowScore = new double[padLength][];
-    for (int pos=leftWindow; pos<leftWindow+length; pos++) {
-      windowScore[pos] = new double[productSizes[pos]];
-      Arrays.fill(tempTags,tags[0][0]);
-      for (int product=0; product<productSizes[pos]; product++) {
-	int p = product;
-	for (int curPos = pos+rightWindow; curPos >= pos-leftWindow; curPos--) {
-	  tempTags[curPos] = tags[curPos][p % tagNum[curPos]];
-	  p /= tagNum[curPos];
-	}
-	windowScore[pos][product] = ts.scoreOf(tempTags, pos);
-      }
-    }
-    
-
-    // Set up score and backtrace arrays
-    double[][] score = new double[padLength][];
-    int[][] trace = new int[padLength][];
-    for (int pos=0; pos<padLength; pos++) {
-      score[pos] = new double[productSizes[pos]];
-      trace[pos] = new int[productSizes[pos]];
-    }
-
-    // Do forward Viterbi algorithm
-
-    // loop over the classification spot
-    //System.err.println();
-    for (int pos=leftWindow; pos<length+leftWindow; pos++) {
-      //System.err.print(".");
-      // loop over window product types
-      for (int product=0; product<productSizes[pos]; product++) {
-	// check for initial spot
-	if (pos==leftWindow) {
-	  // no predecessor type
-	  score[pos][product] = windowScore[pos][product];
-	  trace[pos][product] = -1;
-	} else {
-	  // loop over possible predecessor types
-	  score[pos][product] = Double.NEGATIVE_INFINITY;
-	  trace[pos][product] = -1;
-	  int sharedProduct = product / tagNum[pos+rightWindow];
-	  int factor = productSizes[pos] / tagNum[pos+rightWindow];
-	  for (int newTagNum=0; newTagNum<tagNum[pos-leftWindow-1]; newTagNum++) {
-	    int predProduct = newTagNum*factor+sharedProduct;
-	    double predScore = score[pos-1][predProduct]+windowScore[pos][product];
-	    if (predScore > score[pos][product]) {
-	      score[pos][product] = predScore;
-	      trace[pos][product] = predProduct;
-	    }
-	  }
-	}
-      }
-    }
-
-    // Project the actual tag sequence
-    double bestFinalScore = Double.NEGATIVE_INFINITY;
-    int bestCurrentProduct = -1;
-    for (int product=0; product<productSizes[leftWindow+length-1]; product++) {
-      if (score[leftWindow+length-1][product] > bestFinalScore) {
-	bestCurrentProduct = product;
-	bestFinalScore = score[leftWindow+length-1][product];
-      }
-    }
-    int lastProduct = bestCurrentProduct;
-    for (int last=padLength-1; last>=length-1; last--) {
-      tempTags[last] = tags[last][lastProduct % tagNum[last]];
-      lastProduct /= tagNum[last];
-    }
-    for (int pos=leftWindow+length-2; pos>=leftWindow; pos--) {
-      int bestNextProduct = bestCurrentProduct;
-      bestCurrentProduct = trace[pos+1][bestNextProduct];
-      tempTags[pos-leftWindow] = tags[pos-leftWindow][bestCurrentProduct / (productSizes[pos]/tagNum[pos-leftWindow])];
-    }
-    return tempTags;
-  }
-  */
-
-
-  public BeamBestSequenceFinder(int beamSize) {
-    this(beamSize, false, false);
-  }
-
-  public BeamBestSequenceFinder(int beamSize, boolean exhaustiveStart) {
-    this(beamSize, exhaustiveStart, false);
-  }
-
-  public BeamBestSequenceFinder(int beamSize, boolean exhaustiveStart, boolean recenter) {
-    this.exhaustiveStart = exhaustiveStart;
-    this.beamSize = beamSize;
-    this.recenter = recenter;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/BestSequenceFinder.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/BestSequenceFinder.java
deleted file mode 100644
index 70b7f37..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/BestSequenceFinder.java
+++ /dev/null
@@ -1,15 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-
-/**
- * An interface for classes capable of computing the best sequence given a SequenceModel.
- * @author Teg Grenager (grenager@stanford.edu)
- */
-public interface BestSequenceFinder {
-
-  /**
-   * @return the sequence which is scored highest by the SequenceModel
-   */
-  public int[] bestSequence(SequenceModel sequenceModel);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/Clique.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/Clique.java
deleted file mode 100644
index 5a112f2..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/Clique.java
+++ /dev/null
@@ -1,202 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import edu.stanford.nlp.util.ArrayUtils;
-
-import java.io.*;
-import java.util.*;
-
-/**
- * This class is meant to represent a clique in a (directed
- * or undirected) linear-chain graphical model.  It encodes
- * the relative indices that are included in a clique with
- * respect to the current index (0).  For instance if you have a clique
- * that is current label and two-ago label, then the relative
- * indices clique would look like [-2, 0].  The relativeIndices[]
- * array should be sorted.  Cliques are immutable.  Also, for two
- * cliques, c1 and c2, (c1 == c2) iff c1.equals(c2).
- *
- * @author Jenny Finkel
- */
-
-public class Clique implements Serializable {
-
-  private static final long serialVersionUID = -8109637472035159453L;
-
-  private int[] relativeIndices;
-  protected static Map<CliqueEqualityWrapper, Clique> interner = new HashMap<CliqueEqualityWrapper, Clique>();
-
-  private static class CliqueEqualityWrapper {
-    private Clique c;
-
-    public CliqueEqualityWrapper(Clique c) {
-      this.c = c;
-    }
-
-    @Override
-    public boolean equals(Object o) {
-      if (!(o instanceof CliqueEqualityWrapper)) { return false; }
-      CliqueEqualityWrapper otherC = (CliqueEqualityWrapper)o;
-      if (otherC.c.relativeIndices.length != c.relativeIndices.length) { return false; }
-      for (int i = 0; i < c.relativeIndices.length; i++) {
-        if (c.relativeIndices[i] != otherC.c.relativeIndices[i]) { return false; }
-      }
-      return true;
-    }
-
-    @Override
-    public int hashCode() {
-      int h = 1;
-      for (int i : c.relativeIndices) {
-        h *= 17;
-        h += i;
-      }
-      return h;
-    }
-  }
-
-
-  private static Clique intern(Clique c) {
-    CliqueEqualityWrapper wrapper = new CliqueEqualityWrapper(c);
-    Clique newC = interner.get(wrapper);
-    if (newC == null) {
-      interner.put(wrapper, c);
-      newC = c;
-    }
-    return newC;
-  }
-
-
-  private Clique() {
-  }
-
-  public static Clique valueOf(int maxLeft, int maxRight) {
-    int[] ri = new int[-maxLeft+maxRight+1];
-    int j = maxLeft;
-    for (int i = 0; i < ri.length; i++) {
-      ri[i] = j++;
-    }
-    return valueOfHelper(ri);
-  }
-
-  /** Make a clique over the provided relativeIndices.
-   *  relativeIndices should be sorted. */
-  public static Clique valueOf(int[] relativeIndices) {
-    checkSorted(relativeIndices);
-    // copy the array so as to be safe
-    return valueOfHelper(ArrayUtils.copy(relativeIndices));
-  }
-
-  public static Clique valueOf(Clique c, int offset) {
-    int[] ri = new int[c.relativeIndices.length];
-    for (int i = 0; i < ri.length; i++) {
-      ri[i] = c.relativeIndices[i]+offset;
-    }
-    return valueOfHelper(ri);
-  }
-
-  /** This version assumes relativeIndices array no longer needs to
-   *  be copied. Further it is assumed that it has already been
-   *  checked or assured by construction that relativeIndices
-   *  is sorted.
-   */
-  private static Clique valueOfHelper(int[] relativeIndices) {
-    // if clique already exists, return that one
-    Clique c = new Clique();
-    c.relativeIndices = relativeIndices;
-    return intern(c);
-  }
-
-  /** Parameter validity check. */
-  private static void checkSorted(int[] sorted) {
-    for (int i = 0; i < sorted.length-1; i++) {
-      if (sorted[i] > sorted[i+1]) {
-        throw new RuntimeException("input must be sorted!");
-      }
-    }
-  }
-
-  /**
-   * Convenience method for finding the most far left
-   * relative index.
-   */
-  public int maxLeft() { return relativeIndices[0]; }
-
-  /**
-   * Convenience method for finding the most far right
-   * relative index.
-   */
-  public int maxRight() { return relativeIndices[relativeIndices.length-1]; }
-
-  /** The number of nodes in the clique. */
-  public int size() { return relativeIndices.length; }
-
-  /** @return the ith relativeIndex */
-  public int relativeIndex(int i) { return relativeIndices[i]; }
-
-  /**
-   * For a particular relative index, returns which element in
-   * the Clique it is.  For instance, if you created a Clique
-   * c with relativeIndices [-2, -1, 0], then c.indexOfRelativeIndex(-1)
-   * will return 1.  If the relative index is not present, it
-   * will return -1.
-   */
-  public int indexOfRelativeIndex(int relativeIndex) {
-    for (int i = 0; i < relativeIndices.length; i++) {
-      if (relativeIndices[i] == relativeIndex) {
-        return i;
-      }
-    }
-    return -1;
-  }
-
-  @Override
-  public String toString() {
-    StringBuilder sb = new StringBuilder();
-    sb.append("[");
-    for (int i = 0; i < relativeIndices.length; i++) {
-      sb.append(relativeIndices[i]);
-      if (i != relativeIndices.length-1) {
-        sb.append(", ");
-      }
-    }
-    sb.append("]");
-    return sb.toString();
-  }
-
-  public Clique leftMessage() {
-    int[] ri = new int[relativeIndices.length-1];
-    System.arraycopy(relativeIndices, 0, ri, 0, ri.length);
-    return valueOfHelper(ri);
-  }
-
-  public Clique rightMessage() {
-    int[] ri = new int[relativeIndices.length-1];
-    System.arraycopy(relativeIndices, 1, ri, 0, ri.length);
-    return valueOfHelper(ri);
-  }
-
-  public Clique shift(int shiftAmount) {
-    if (shiftAmount == 0) { return this; }
-    int[] ri = new int[relativeIndices.length];
-    for (int i = 0; i < ri.length; i++) {
-      ri[i] = relativeIndices[i]+shiftAmount;
-    }
-    return valueOfHelper(ri);
-  }
-
-
-  private int hashCode = -1;
-
-  @Override
-  public int hashCode() {
-    if (hashCode == -1) {
-      hashCode = toString().hashCode();
-    }
-    return hashCode;
-  }
-
-  protected Object readResolve() {
-    return intern(this);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/CoNLLDocumentReaderAndWriter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/CoNLLDocumentReaderAndWriter.java
deleted file mode 100644
index 61e9221..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/CoNLLDocumentReaderAndWriter.java
+++ /dev/null
@@ -1,407 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.OriginalAnswerAnnotation;
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.io.RuntimeIOException;
-import edu.stanford.nlp.objectbank.ObjectBank;
-import edu.stanford.nlp.util.PaddedList;
-import edu.stanford.nlp.util.AbstractIterator;
-
-import java.util.*;
-import java.util.regex.*;
-import java.io.*;
-
-/**
- * DocumentReader for the original CoNLL 03 format.  In this format, there is
- * one word per line, with extra attributes of a word (POS tag, chunk, etc.) in
- * other space or tab separated columns, where leading and trailing whitespace
- * on the line are ignored.  Sentences are supposedly
- * separated by a blank line (one with no non-whitespace characters), but
- * where blank lines occur is in practice often fairly random. In particular,
- * sometimes entities span blank lines.  Nevertheless, in this class, like in
- * our original CoNLL system, these blank lines are preserved as a special
- * BOUNDARY token and detected and exploited by some features. The text is
- * divided into documents at each '-DOCSTART-' token, which is seen as a
- * special token, which is also preserved.  The reader can read data in any
- * of the IOB/IOE/etc. formats and output tokens in any other, based on the
- * entitySubclassification flag.
- * <p>
- * This reader is specifically for replicating CoNLL systems. For normal use,
- * you should use the saner ColumnDocumentReaderAndWriter.
- *
- * @author Jenny Finkel
- * @author Huy Nguyen
- * @author Christopher Manning
- */
-public class CoNLLDocumentReaderAndWriter implements DocumentReaderAndWriter<CoreLabel> {
-
-  private static final long serialVersionUID = 6281374154299530460L;
-
-  public static final String BOUNDARY = "*BOUNDARY*";
-  public static final String OTHER = "O";
-  /** Historically, this reader used to treat the whole input as one document, but now it doesn't */
-  private static final boolean TREAT_FILE_AS_ONE_DOCUMENT = false;
-  private static final Pattern docPattern = Pattern.compile("^\\s*-DOCSTART-\\s");
-  private static final Pattern white = Pattern.compile("^\\s*$");
-
-
-  private SeqClassifierFlags flags; // = null;
-
-
-  public void init(SeqClassifierFlags flags) {
-    this.flags = flags;
-  }
-
-  @Override
-  public String toString() {
-    return "CoNLLDocumentReaderAndWriter[entitySubclassification: " +
-        flags.entitySubclassification + ", intern: " + flags.intern + ']';
-  }
-
-
-  public Iterator<List<CoreLabel>> getIterator(Reader r) {
-    return new CoNLLIterator(r);
-  }
-
-  private class CoNLLIterator extends AbstractIterator<List<CoreLabel>> {
-
-    public CoNLLIterator (Reader r) {
-      stringIter = splitIntoDocs(r);
-    }
-
-    @Override
-    public boolean hasNext() { return stringIter.hasNext(); }
-
-    @Override
-    public List<CoreLabel> next() { return processDocument(stringIter.next()); }
-
-    private Iterator<String> stringIter; // = null;
-
-  } // end class CoNLLIterator
-
-
-  private static Iterator<String> splitIntoDocs(Reader r) {
-    if (TREAT_FILE_AS_ONE_DOCUMENT) {
-      return Collections.singleton(IOUtils.slurpReader(r)).iterator();
-    } else {
-      Collection<String> docs = new ArrayList<String>();
-      ObjectBank<String> ob = ObjectBank.getLineIterator(r);
-      StringBuilder current = new StringBuilder();
-      for (String line : ob) {
-        if (docPattern.matcher(line).lookingAt()) {
-          // Start new doc, store old one if non-empty
-          if (current.length() > 0) {
-            docs.add(current.toString());
-            current = new StringBuilder();
-          }
-        }
-        current.append(line);
-        current.append('\n');
-      }
-      if (current.length() > 0) {
-        docs.add(current.toString());
-      }
-      return docs.iterator();
-    }
-  }
-
-
-  private List<CoreLabel> processDocument(String doc) {
-    List<CoreLabel> lis = new ArrayList<CoreLabel>();
-    String[] lines = doc.split("\n");
-    for (String line : lines) {
-      if ( ! flags.deleteBlankLines || ! white.matcher(line).matches()) {
-        lis.add(makeCoreLabel(line));
-      }
-    }
-    entitySubclassify(lis, flags.entitySubclassification);
-    return lis;
-  }
-
-  /**
-   * This can be used on the CoNLL data to map from a representation where
-   * normally entities were marked I-PERS, but the beginning of non-first
-   * items of an entity sequences were marked B-PERS (IOB1 representation).
-   * It changes this representation to other representations:
-   * a 4 way representation of all entities, like S-PERS, B-PERS,
-   * I-PERS, E-PERS for single word, beginning, internal, and end of entity
-   * (SBIEO); always marking the first word of an entity (IOB2);
-   * the reverse IOE1 and IOE2 and IO.
-   * This code is very specific to the particular CoNLL way of labeling
-   * classes.  It will work on any of these styles of input, however, except
-   * for IO which necessarily loses information.
-   *
-   * @param tokens List of read in tokens with AnswerAnnotation
-   * @param style Output style; one of iob[12], ioe[12], io, sbieo
-   */
-  private void entitySubclassify(List<CoreLabel> tokens,
-                                 String style) {
-    int how;
-    if ("iob1".equalsIgnoreCase(style)) {
-      how = 0;
-    } else if ("iob2".equalsIgnoreCase(style)) {
-      how = 1;
-    } else if ("ioe1".equalsIgnoreCase(style)) {
-      how = 2;
-    } else if ("ioe2".equalsIgnoreCase(style)) {
-      how = 3;
-    } else if ("io".equalsIgnoreCase(style)) {
-      how = 4;
-    } else if ("sbieo".equalsIgnoreCase(style)) {
-      how = 5;
-    } else {
-      System.err.println("entitySubclassify: unknown style: " + style);
-      how = 4;
-    }
-    tokens = new PaddedList<CoreLabel>(tokens, new CoreLabel());
-    int k = tokens.size();
-    String[] newAnswers = new String[k];
-    for (int i = 0; i < k; i++) {
-      final CoreLabel c = tokens.get(i);
-      final CoreLabel p = tokens.get(i - 1);
-      final CoreLabel n = tokens.get(i + 1);
-      final String cAns = c.get(AnswerAnnotation.class);
-      if (cAns.length() > 1 && cAns.charAt(1) == '-') {
-        String pAns = p.get(AnswerAnnotation.class);
-        if (pAns == null) { pAns = OTHER; }
-        String nAns = n.get(AnswerAnnotation.class);
-        if (nAns == null) { nAns = OTHER; }
-        final String base = cAns.substring(2, cAns.length());
-        String pBase = (pAns.length() > 2 ? pAns.substring(2, pAns.length()) : pAns);
-        String nBase = (nAns.length() > 2 ? nAns.substring(2, nAns.length()) : nAns);
-        char prefix = cAns.charAt(0);
-        char pPrefix = (pAns.length() > 0) ? pAns.charAt(0) : ' ';
-        char nPrefix = (nAns.length() > 0) ? nAns.charAt(0) : ' ';
-        boolean isStartAdjacentSame = base.equals(pBase) &&
-          (prefix == 'B' || prefix == 'S' || pPrefix == 'E' || pPrefix == 'S');
-        boolean isEndAdjacentSame = base.equals(nBase) &&
-          (prefix == 'E' || prefix == 'S' || nPrefix == 'B' || pPrefix == 'S');
-        boolean isFirst = (!base.equals(pBase)) || cAns.charAt(0) == 'B';
-        boolean isLast = (!base.equals(nBase)) || nAns.charAt(0) == 'B';
-        switch (how) {
-        case 0:
-          if (isStartAdjacentSame) {
-            newAnswers[i] = intern("B-" + base);
-          } else {
-            newAnswers[i] = intern("I-" + base);
-          }
-          break;
-        case 1:
-          if (isFirst) {
-            newAnswers[i] = intern("B-" + base);
-          } else {
-            newAnswers[i] = intern("I-" + base);
-          }
-          break;
-        case 2:
-          if (isEndAdjacentSame) {
-            newAnswers[i] = intern("E-" + base);
-          } else {
-            newAnswers[i] = intern("I-" + base);
-          }
-          break;
-        case 3:
-          if (isLast) {
-            newAnswers[i] = intern("E-" + base);
-          } else {
-            newAnswers[i] = intern("I-" + base);
-          }
-          break;
-        case 4:
-          newAnswers[i] = intern("I-" + base);
-          break;
-        case 5:
-          if (isFirst && isLast) {
-            newAnswers[i] = intern("S-" + base);
-          } else if ((!isFirst) && isLast) {
-            newAnswers[i] = intern("E-" + base);
-          } else if (isFirst && (!isLast)) {
-            newAnswers[i] = intern("B-" + base);
-          } else {
-            newAnswers[i] = intern("I-" + base);
-          }
-        }
-      } else {
-        newAnswers[i] = cAns;
-      }
-    }
-    for (int i = 0; i < k; i++) {
-      CoreLabel c = tokens.get(i);
-      c.set(AnswerAnnotation.class, newAnswers[i]);
-    }
-  }
-
-
-  /** This deals with the CoNLL files for different languages which have
-   *  between 2 and 5 columns on non-blank lines.
-   *
-   *  @param line A line of CoNLL input
-   *  @return The constructed token
-   */
-  private CoreLabel makeCoreLabel(String line) {
-    CoreLabel wi = new CoreLabel();
-    // wi.line = line;
-    String[] bits = line.split("\\s+");
-    switch (bits.length) {
-    case 0:
-    case 1:
-      wi.setWord(BOUNDARY);
-      wi.set(AnswerAnnotation.class, OTHER);
-      break;
-    case 2:
-      wi.setWord(bits[0]);
-      wi.set(AnswerAnnotation.class, bits[1]);
-      break;
-    case 3:
-      wi.setWord(bits[0]);
-      wi.setTag(bits[1]);
-      wi.set(AnswerAnnotation.class, bits[2]);
-      break;
-    case 4:
-      wi.setWord(bits[0]);
-      wi.setTag(bits[1]);
-      wi.set(ChunkAnnotation.class, bits[2]);
-      wi.set(AnswerAnnotation.class, bits[3]);
-      break;
-    case 5:
-      if (flags.useLemmaAsWord) {
-        wi.setWord(bits[1]);
-      } else {
-        wi.setWord(bits[0]);
-        }
-      wi.set(LemmaAnnotation.class, bits[1]);
-      wi.setTag(bits[2]);
-      wi.set(ChunkAnnotation.class, bits[3]);
-      wi.set(AnswerAnnotation.class, bits[4]);
-      break;
-    default:
-      throw new RuntimeIOException("Unexpected input (many fields): " + line);
-    }
-    wi.set(OriginalAnswerAnnotation.class, wi.get(AnswerAnnotation.class));
-    return wi;
-  }
-
-  private String intern(String s) {
-    if (flags.intern) {
-      return s.intern();
-    } else {
-      return s;
-    }
-  }
-
-  /** Return the coding scheme to IOB1 coding, regardless of what was used
-   *  internally. This is useful for scoring against CoNLL test output.
-   *
-   *  @param tokens List of tokens in some NER encoding
-   */
-  private void deEndify(List<CoreLabel> tokens) {
-    if (flags.retainEntitySubclassification) {
-      return;
-    }
-    tokens = new PaddedList<CoreLabel>(tokens, new CoreLabel());
-    int k = tokens.size();
-    String[] newAnswers = new String[k];
-    for (int i = 0; i < k; i++) {
-      CoreLabel c = tokens.get(i);
-      CoreLabel p = tokens.get(i - 1);
-      if (c.get(AnswerAnnotation.class).length() > 1 && c.get(AnswerAnnotation.class).charAt(1) == '-') {
-        String base = c.get(AnswerAnnotation.class).substring(2);
-        String pBase = (p.get(AnswerAnnotation.class).length() <= 2 ? p.get(AnswerAnnotation.class) : p.get(AnswerAnnotation.class).substring(2));
-        boolean isSecond = (base.equals(pBase));
-        boolean isStart = (c.get(AnswerAnnotation.class).charAt(0) == 'B' || c.get(AnswerAnnotation.class).charAt(0) == 'S');
-        if (isSecond && isStart) {
-          newAnswers[i] = intern("B-" + base);
-        } else {
-          newAnswers[i] = intern("I-" + base);
-        }
-      } else {
-        newAnswers[i] = c.get(AnswerAnnotation.class);
-      }
-    }
-    for (int i = 0; i < k; i++) {
-      CoreLabel c = tokens.get(i);
-      c.set(AnswerAnnotation.class, newAnswers[i]);
-    }
-  }
-
-
-  /** Write a standard CoNLL format output file.
-   *
-   *  @param doc The document: A List of CoreLabel
-   *  @param out Where to send the answers to
-   */
-  @SuppressWarnings({"StringEquality"})
-  public void printAnswers(List<CoreLabel> doc, PrintWriter out) {
-    // boolean tagsMerged = flags.mergeTags;
-    // boolean useHead = flags.splitOnHead;
-
-    if ( ! "iob1".equalsIgnoreCase(flags.entitySubclassification)) {
-      deEndify(doc);
-    }
-
-    for (CoreLabel fl : doc) {
-      String word = fl.word();
-      if (word == BOUNDARY) { // Using == is okay, because it is set to constant
-        out.println();
-      } else {
-        String gold = fl.get(OriginalAnswerAnnotation.class);
-        if(gold == null) gold = "";
-        String guess = fl.get(AnswerAnnotation.class);
-        // System.err.println(fl.word() + "\t" + fl.get(AnswerAnnotation.class) + "\t" + fl.get(AnswerAnnotation.class));
-        String pos = fl.tag();
-        String chunk = (fl.get(ChunkAnnotation.class) == null ? "" : fl.get(ChunkAnnotation.class));
-        out.println(fl.word() + '\t' + pos + '\t' + chunk + '\t' +
-                    gold + '\t' + guess);
-      }
-    }
-  }
-
-  /** Count some stats on what occurs in a file.
-   */
-  public static void main(String[] args) throws IOException, ClassNotFoundException {
-    CoNLLDocumentReaderAndWriter f = new CoNLLDocumentReaderAndWriter();
-    f.init(new SeqClassifierFlags());
-    int numDocs = 0;
-    int numTokens = 0;
-    int numEntities = 0;
-    String lastAnsBase = "";
-    for (Iterator<List<CoreLabel>> it = f.getIterator(new FileReader(args[0])); it.hasNext(); ) {
-      List<CoreLabel> doc = it.next();
-      numDocs++;
-      for (CoreLabel fl : doc) {
-        // System.out.println("FL " + (++i) + " was " + fl);
-        if (fl.word().equals(BOUNDARY)) {
-          continue;
-        }
-        String ans = fl.get(AnswerAnnotation.class);
-        String ansBase;
-        String ansPrefix;
-        String[] bits = ans.split("-");
-        if (bits.length == 1) {
-          ansBase = bits[0];
-          ansPrefix = "";
-        } else {
-          ansBase = bits[1];
-          ansPrefix = bits[0];
-        }
-        numTokens++;
-        if (ansBase.equals("O")) {
-        } else if (ansBase.equals(lastAnsBase)) {
-          if (ansPrefix.equals("B")) {
-            numEntities++;
-          }
-        } else {
-          numEntities++;
-        }
-      }
-    }
-    System.out.println("File " + args[0] + " has " + numDocs + " documents, " +
-            numTokens + " (non-blank line) tokens and " +
-            numEntities + " entities.");
-  } // end main
-
-} // end class CoNLLDocumentReaderAndWriter
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/ColumnDocumentReaderAndWriter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/ColumnDocumentReaderAndWriter.java
deleted file mode 100644
index 1a732f4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/ColumnDocumentReaderAndWriter.java
+++ /dev/null
@@ -1,101 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import java.io.PrintWriter;
-import java.io.Reader;
-import java.io.Serializable;
-import java.util.ArrayList;
-import java.util.Iterator;
-import java.util.List;
-import java.util.regex.Pattern;
-
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation;
-import edu.stanford.nlp.objectbank.DelimitRegExIterator;
-import edu.stanford.nlp.objectbank.IteratorFromReaderFactory;
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.util.StringUtils;
-
-
-/**
- * DocumentReader for column format
- *
- * @author Jenny Finkel
- */
-public class ColumnDocumentReaderAndWriter implements DocumentReaderAndWriter<CoreLabel> {
-
-  private static final long serialVersionUID = 3806263423697973704L;
-
-//  private SeqClassifierFlags flags; // = null;
-  private String[] map; // = null;
-  private IteratorFromReaderFactory<List<CoreLabel>> factory;
-
-//  public void init(SeqClassifierFlags flags) {
-//    this.flags = flags;
-//    this.map = StringUtils.mapStringToArray(flags.map);
-//    factory = DelimitRegExIterator.getFactory("\n(\\s*\n)+", new ColumnDocParser());
-//  }
-
-  public void init(SeqClassifierFlags flags) {
-    this.map = StringUtils.mapStringToArray(flags.map);
-    factory = DelimitRegExIterator.getFactory("\n(?:\\s*\n)+", new ColumnDocParser());
-  }
-
-
-  public void init(String map) {
-//    this.flags = null;
-    this.map = StringUtils.mapStringToArray(map);
-    factory = DelimitRegExIterator.getFactory("\n(\\s*\n)+", new ColumnDocParser());
-  }
-
-  public Iterator<List<CoreLabel>> getIterator(Reader r) {
-    return factory.getIterator(r);
-  }
-
-  private int num; // = 0;
-
-
-  private class ColumnDocParser implements Serializable, Function<String,List<CoreLabel>> {
-
-    private static final long serialVersionUID = -6266332661459630572L;
-    private final Pattern whitePattern = Pattern.compile("\\s+");
-
-    public List<CoreLabel> apply(String doc) {
-      if (num > 0 && num % 1000 == 0) { System.err.print("["+num+"]"); }
-      num++;
-
-      List<CoreLabel> words = new ArrayList<CoreLabel>();
-
-      String[] lines = doc.split("\n");
-
-      for (String line : lines) {
-        if (line.trim().length() == 0) {
-          continue;
-        }
-        String[] info = whitePattern.split(line);
-        // todo: We could speed things up here by having one time only having converted map into an array of CoreLabel keys (Class<? extends CoreAnnotation<?>>) and then instantiating them. Need new constructor.
-        CoreLabel wi;
-        try {
-          wi = new CoreLabel(map, info);
-        } catch (RuntimeException e) {
-          System.err.println("Error on line: " + line);
-          throw e;
-        }
-        words.add(wi);
-      }
-      return words;
-    }
-
-  } // end class ColumnDocParser
-
-
-  public void printAnswers(List<CoreLabel> doc, PrintWriter out) {
-    for (CoreLabel wi : doc) {
-      String answer = wi.get(AnswerAnnotation.class);
-      String goldAnswer = wi.get(GoldAnswerAnnotation.class);
-      out.println(wi.word() + "\t" + goldAnswer + "\t" + answer);
-    }
-    out.println();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/CoolingSchedule.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/CoolingSchedule.java
deleted file mode 100644
index d5d26f5..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/CoolingSchedule.java
+++ /dev/null
@@ -1,39 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-/**
- * @author grenager
- *         Date: Dec 14, 2004
- */
-public abstract class CoolingSchedule {
-
-  public abstract int numIterations();
-  public abstract double getTemperature(int iteration);
-
-  public static CoolingSchedule getExponentialSchedule(final double start, final double rate, final int numIterations) {
-    return new CoolingSchedule() {
-      @Override
-      public int numIterations() {
-        return numIterations;
-      }
-      @Override
-      public double getTemperature(int iteration) {
-        return start * Math.pow(rate, iteration);
-      }
-    };
-  }
-
-  public static CoolingSchedule getLinearSchedule(final double start, final int numIterations) {
-    return new CoolingSchedule() {
-      final double rate = start / numIterations;
-      @Override
-      public int numIterations() {
-        return numIterations+1; // will hit zero on the last one
-      }
-      @Override
-      public double getTemperature(int iteration) {
-        return start - rate*iteration;
-      }
-    };
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/DocumentReaderAndWriter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/DocumentReaderAndWriter.java
deleted file mode 100644
index ff53ff7..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/DocumentReaderAndWriter.java
+++ /dev/null
@@ -1,45 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import edu.stanford.nlp.objectbank.IteratorFromReaderFactory;
-import edu.stanford.nlp.util.CoreMap;
-
-import java.util.List;
-import java.io.PrintWriter;
-import java.io.Serializable;
-
-/**
- * This interface is used for reading data and writing
- * output into and out of {@link SequenceClassifier}s.
- * If you subclass this interface, all of the other
- * mechanisms necessary for getting your data into a
- * {@link SequenceClassifier} will be taken care of
- * for you.  Subclasses <b>MUST</b> have an empty constructor as
- * they can be instantiated by reflection, and
- * there is a promise that the init method will
- * be called immediately after construction.
- *
- * @author Jenny Finkel
- */
-
-public interface DocumentReaderAndWriter<IN extends CoreMap>
-        extends IteratorFromReaderFactory<List<IN>>, Serializable {
-
-  /**
-   * This will be called immediately after construction.  It's easier having
-   * an init() method because DocumentReaderAndWriter objects are usually
-   * created using reflection.
-   *
-   * @param flags Flags specifying behavior
-   */
-  public void init(SeqClassifierFlags flags);
-
-  /**
-   * This method prints the output of the classifier to a
-   * {@link PrintWriter}.
-   *
-   * @param doc The document which has answers (it has been classified)
-   * @param out Where to send the output
-   */
-  public void printAnswers(List<IN> doc, PrintWriter out);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/ExactBestSequenceFinder.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/ExactBestSequenceFinder.java
deleted file mode 100644
index ebf34b4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/ExactBestSequenceFinder.java
+++ /dev/null
@@ -1,338 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import java.util.Arrays;
-
-
-/**
- * A class capable of computing the best sequence given a SequenceModel.
- * Uses the Viterbi algorithm.
- *
- * @author Dan Klein
- * @author Teg Grenager (grenager@stanford.edu)
- */
-public class ExactBestSequenceFinder implements BestSequenceFinder {
-
-  private static final boolean useOld = false;
-  private static final boolean DEBUG = false;
-
-  /**
-   * A class for testing.
-   */
-  private static class TestSequenceModel implements SequenceModel {
-
-    private int[] correctTags = {0, 0, 1, 2, 3, 4, 5, 6, 7, 6, 5, 4, 3, 2, 1, 0, 0};
-    private int[] allTags = {1, 2, 3, 4, 5, 6, 7, 8, 9};
-    private int[] midTags = {0, 1, 2, 3};
-    private int[] nullTags = {0};
-
-    public int length() {
-      return correctTags.length - leftWindow() - rightWindow();
-    }
-
-    public int leftWindow() {
-      return 2;
-    }
-
-    public int rightWindow() {
-      return 2;
-    }
-
-    public int[] getPossibleValues(int pos) {
-      if (pos < leftWindow() || pos >= leftWindow() + length()) {
-        return nullTags;
-      }
-      if (correctTags[pos] < 4) {
-        return midTags;
-      }
-      return allTags;
-    }
-
-    public double scoreOf(int[] tags, int pos) {
-      //System.out.println("Was asked: "+arrayToString(tags)+" at "+pos);
-      boolean match = true;
-      for (int loc = pos - leftWindow(); loc <= pos + rightWindow(); loc++) {
-        if (tags[loc] != correctTags[loc]) {
-          match = false;
-        }
-      }
-      if (match) {
-        return pos;
-      }
-      return 0;
-    }
-
-    public double scoreOf(int[] sequence) {
-      throw new UnsupportedOperationException();
-    }
-
-    public double[] scoresOf(int[] tags, int pos) {
-      int[] tagsAtPos = getPossibleValues(pos);
-      double[] scores = new double[tagsAtPos.length];
-      for (int t = 0; t < tagsAtPos.length; t++) {
-        tags[pos] = tagsAtPos[t];
-        scores[t] = scoreOf(tags, pos);
-      }
-      return scores;
-    }
-
-  } // end class TestSequenceModel
-
-
-  public static void main(String[] args) {
-    BestSequenceFinder ti = new ExactBestSequenceFinder();
-    SequenceModel ts = new TestSequenceModel();
-    int[] bestTags = ti.bestSequence(ts);
-    System.out.println("The best sequence is ... " + Arrays.toString(bestTags));
-  }
-
-  /**
-   * Runs the Viterbi algorithm on the sequence model given by the TagScorer
-   * in order to find the best sequence.
-   * @param ts The SequenceModel to be used for scoring
-   * @return An array containing the int tags of the best sequence
-   */
-  public int[] bestSequence(SequenceModel ts) {
-    if (useOld) {
-      return bestSequenceOld(ts);
-    } else {
-      return bestSequenceNew(ts);
-    }
-  }
-
-  private int[] bestSequenceNew(SequenceModel ts) {
-    // Set up tag options
-    int length = ts.length();
-    int leftWindow = ts.leftWindow();
-    int rightWindow = ts.rightWindow();
-    int padLength = length + leftWindow + rightWindow;
-    int[][] tags = new int[padLength][];
-    int[] tagNum = new int[padLength];
-    if (DEBUG) { System.err.println("Doing bestSequence length " + length + "; leftWin " + leftWindow + "; rightWin " + rightWindow + "; padLength " + padLength); }
-    for (int pos = 0; pos < padLength; pos++) {
-      tags[pos] = ts.getPossibleValues(pos);
-      tagNum[pos] = tags[pos].length;
-      if (DEBUG) { System.err.println("There are " + tagNum[pos] + " values at position " + pos + ": " + Arrays.toString(tags[pos])); }
-    }
-
-    int[] tempTags = new int[padLength];
-
-    // Set up product space sizes
-    int[] productSizes = new int[padLength];
-
-    int curProduct = 1;
-    for (int i = 0; i < leftWindow + rightWindow; i++) {
-      curProduct *= tagNum[i];
-    }
-    for (int pos = leftWindow + rightWindow; pos < padLength; pos++) {
-      if (pos > leftWindow + rightWindow) {
-        curProduct /= tagNum[pos - leftWindow - rightWindow - 1]; // shift off
-      }
-      curProduct *= tagNum[pos]; // shift on
-      productSizes[pos - rightWindow] = curProduct;
-    }
-
-    // Score all of each window's options
-    double[][] windowScore = new double[padLength][];
-    for (int pos = leftWindow; pos < leftWindow + length; pos++) {
-      if (DEBUG) { System.err.println("scoring word " + pos + " / " + (leftWindow + length) + ", productSizes =  " + productSizes[pos] + ", tagNum = " + tagNum[pos] + "..."); }
-      windowScore[pos] = new double[productSizes[pos]];
-      Arrays.fill(tempTags, tags[0][0]);
-      if (DEBUG) { System.err.println("windowScore[" + pos + "] has size (productSizes[pos]) " + windowScore[pos].length); }
-
-      for (int product = 0; product < productSizes[pos]; product++) {
-        int p = product;
-        int shift = 1;
-        for (int curPos = pos + rightWindow; curPos >= pos - leftWindow; curPos--) {
-          tempTags[curPos] = tags[curPos][p % tagNum[curPos]];
-          p /= tagNum[curPos];
-          if (curPos > pos) {
-            shift *= tagNum[curPos];
-          }
-        }
-
-        // Here now you get ts.scoresOf() for all classifications at a position at once, wwhereas the old code called ts.scoreOf() on each item.
-        // CDM May 2007: The way this is done gives incorrect results if there are repeated values in the values of ts.getPossibleValues(pos) -- in particular if the first value of the array is repeated later.  I tried replacing it with the modulo version, but that only worked for left-to-right, not bidirectional inference, but I still think that if you sorted things out, you should be able to do it with modulos and the result would be conceptually simpler and robust to repeated values.  But in the meantime, I fixed the POS tagger to not give repeated values (which was a bug in the tagger).
-        // if (product % tagNum[pos] == 0) {
-        if (tempTags[pos] == tags[pos][0]) {
-          // get all tags at once
-          double[] scores = ts.scoresOf(tempTags, pos);
-          if (DEBUG) { System.err.println("Matched at array index [product] " + product + "; tempTags[pos] == tags[pos][0] == " + tempTags[pos]); }
-          if (DEBUG) { System.err.println("For pos " + pos + " scores.length is " + scores.length + "; tagNum[pos] = " + tagNum[pos] + "; windowScore[pos].length = " + windowScore[pos].length); }
-          if (DEBUG) { System.err.println("scores: " + Arrays.toString(scores)); }
-          // fill in the relevant windowScores
-          for (int t = 0; t < tagNum[pos]; t++) {
-            if (DEBUG) { System.err.println("Setting value of windowScore[" + pos + "][" + product + "+" + t + "*" + shift + "] = " + scores[t]); }
-            windowScore[pos][product + t * shift] = scores[t];
-          }
-        }
-      }
-    }
-
-    // Set up score and backtrace arrays
-    double[][] score = new double[padLength][];
-    int[][] trace = new int[padLength][];
-    for (int pos = 0; pos < padLength; pos++) {
-      score[pos] = new double[productSizes[pos]];
-      trace[pos] = new int[productSizes[pos]];
-    }
-
-    // Do forward Viterbi algorithm
-
-    // loop over the classification spot
-    //System.err.println();
-    for (int pos = leftWindow; pos < length + leftWindow; pos++) {
-      //System.err.print(".");
-      // loop over window product types
-      for (int product = 0; product < productSizes[pos]; product++) {
-        // check for initial spot
-        if (pos == leftWindow) {
-          // no predecessor type
-          score[pos][product] = windowScore[pos][product];
-          trace[pos][product] = -1;
-        } else {
-          // loop over possible predecessor types
-          score[pos][product] = Double.NEGATIVE_INFINITY;
-          trace[pos][product] = -1;
-          int sharedProduct = product / tagNum[pos + rightWindow];
-          int factor = productSizes[pos] / tagNum[pos + rightWindow];
-          for (int newTagNum = 0; newTagNum < tagNum[pos - leftWindow - 1]; newTagNum++) {
-            int predProduct = newTagNum * factor + sharedProduct;
-            double predScore = score[pos - 1][predProduct] + windowScore[pos][product];
-            if (predScore > score[pos][product]) {
-              score[pos][product] = predScore;
-              trace[pos][product] = predProduct;
-            }
-          }
-        }
-      }
-    }
-
-    // Project the actual tag sequence
-    double bestFinalScore = Double.NEGATIVE_INFINITY;
-    int bestCurrentProduct = -1;
-    for (int product = 0; product < productSizes[leftWindow + length - 1]; product++) {
-      if (score[leftWindow + length - 1][product] > bestFinalScore) {
-        bestCurrentProduct = product;
-        bestFinalScore = score[leftWindow + length - 1][product];
-      }
-    }
-    int lastProduct = bestCurrentProduct;
-    for (int last = padLength - 1; last >= length - 1 && last >= 0; last--) {
-      tempTags[last] = tags[last][lastProduct % tagNum[last]];
-      lastProduct /= tagNum[last];
-    }
-    for (int pos = leftWindow + length - 2; pos >= leftWindow; pos--) {
-      int bestNextProduct = bestCurrentProduct;
-      bestCurrentProduct = trace[pos + 1][bestNextProduct];
-      tempTags[pos - leftWindow] = tags[pos - leftWindow][bestCurrentProduct / (productSizes[pos] / tagNum[pos - leftWindow])];
-    }
-    return tempTags;
-  }
-
-  private int[] bestSequenceOld(SequenceModel ts) {
-
-    // Set up tag options
-    int length = ts.length();
-    int leftWindow = ts.leftWindow();
-    int rightWindow = ts.rightWindow();
-    int padLength = length+leftWindow+rightWindow;
-    int[][] tags = new int[padLength][];
-    int[] tagNum = new int[padLength];
-    for (int pos = 0; pos < padLength; pos++) {
-      tags[pos] = ts.getPossibleValues(pos);
-      tagNum[pos] = tags[pos].length;
-    }
-
-    int[] tempTags = new int[padLength];
-
-    // Set up product space sizes
-    int[] productSizes = new int[padLength];
-
-    int curProduct = 1;
-    for (int i=0; i<leftWindow+rightWindow; i++)
-      curProduct *= tagNum[i];
-    for (int pos = leftWindow+rightWindow; pos < padLength; pos++) {
-      if (pos > leftWindow+rightWindow)
-	curProduct /= tagNum[pos-leftWindow-rightWindow-1]; // shift off
-      curProduct *= tagNum[pos]; // shift on
-      productSizes[pos-rightWindow] = curProduct;
-    }
-
-    // Score all of each window's options
-    double[][] windowScore = new double[padLength][];
-    for (int pos=leftWindow; pos<leftWindow+length; pos++) {
-      windowScore[pos] = new double[productSizes[pos]];
-      Arrays.fill(tempTags,tags[0][0]);
-      for (int product=0; product<productSizes[pos]; product++) {
-	int p = product;
-	for (int curPos = pos+rightWindow; curPos >= pos-leftWindow; curPos--) {
-	  tempTags[curPos] = tags[curPos][p % tagNum[curPos]];
-	  p /= tagNum[curPos];
-	}
-	windowScore[pos][product] = ts.scoreOf(tempTags, pos);
-      }
-    }
-
-
-    // Set up score and backtrace arrays
-    double[][] score = new double[padLength][];
-    int[][] trace = new int[padLength][];
-    for (int pos=0; pos<padLength; pos++) {
-      score[pos] = new double[productSizes[pos]];
-      trace[pos] = new int[productSizes[pos]];
-    }
-
-    // Do forward Viterbi algorithm
-
-    // loop over the classification spot
-    //System.err.println();
-    for (int pos=leftWindow; pos<length+leftWindow; pos++) {
-      //System.err.print(".");
-      // loop over window product types
-      for (int product=0; product<productSizes[pos]; product++) {
-	// check for initial spot
-	if (pos==leftWindow) {
-	  // no predecessor type
-	  score[pos][product] = windowScore[pos][product];
-	  trace[pos][product] = -1;
-	} else {
-	  // loop over possible predecessor types
-	  score[pos][product] = Double.NEGATIVE_INFINITY;
-	  trace[pos][product] = -1;
-	  int sharedProduct = product / tagNum[pos+rightWindow];
-	  int factor = productSizes[pos] / tagNum[pos+rightWindow];
-	  for (int newTagNum=0; newTagNum<tagNum[pos-leftWindow-1]; newTagNum++) {
-	    int predProduct = newTagNum*factor+sharedProduct;
-	    double predScore = score[pos-1][predProduct]+windowScore[pos][product];
-	    if (predScore > score[pos][product]) {
-	      score[pos][product] = predScore;
-	      trace[pos][product] = predProduct;
-	    }
-	  }
-	}
-      }
-    }
-
-    // Project the actual tag sequence
-    double bestFinalScore = Double.NEGATIVE_INFINITY;
-    int bestCurrentProduct = -1;
-    for (int product=0; product<productSizes[leftWindow+length-1]; product++) {
-      if (score[leftWindow+length-1][product] > bestFinalScore) {
-	bestCurrentProduct = product;
-	bestFinalScore = score[leftWindow+length-1][product];
-      }
-    }
-    int lastProduct = bestCurrentProduct;
-    for (int last=padLength-1; last>=length-1; last--) {
-      tempTags[last] = tags[last][lastProduct % tagNum[last]];
-      lastProduct /= tagNum[last];
-    }
-    for (int pos=leftWindow+length-2; pos>=leftWindow; pos--) {
-      int bestNextProduct = bestCurrentProduct;
-      bestCurrentProduct = trace[pos+1][bestNextProduct];
-      tempTags[pos-leftWindow] = tags[pos-leftWindow][bestCurrentProduct / (productSizes[pos]/tagNum[pos-leftWindow])];
-    }
-    return tempTags;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/FactoredSequenceListener.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/FactoredSequenceListener.java
deleted file mode 100644
index 2d74f7e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/FactoredSequenceListener.java
+++ /dev/null
@@ -1,51 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-/**
- * @author grenager
- *         Date: Apr 18, 2005
- */
-public class FactoredSequenceListener implements SequenceListener {
-
-  SequenceListener model1;
-  SequenceListener model2;
-  SequenceListener[] models = null;
-
-  /**
-   * Informs this sequence model that the value of the element at position pos has changed.
-   * This allows this sequence model to update its internal model if desired.
-   *
-   */
-  public void updateSequenceElement(int[] sequence, int pos, int oldVal) {
-    if(models != null){
-      for(int i = 0; i < models.length; i++)
-        models[i].updateSequenceElement(sequence, pos, oldVal);
-      return; 
-    }
-    model1.updateSequenceElement(sequence, pos, 0);
-    model2.updateSequenceElement(sequence, pos, 0);
-  }
-
-  /**
-   * Informs this sequence model that the value of the whole sequence is initialized to sequence
-   *
-   */
-  public void setInitialSequence(int[] sequence) {
-    if(models != null){
-      for(int i = 0; i < models.length; i++)
-        models[i].setInitialSequence(sequence);
-      return;
-    }
-    model1.setInitialSequence(sequence);
-    model2.setInitialSequence(sequence);
-  }
-
-  public FactoredSequenceListener(SequenceListener model1, SequenceListener model2) {
-    this.model1 = model1;
-    this.model2 = model2;
-  }
-  
-  
-  public FactoredSequenceListener(SequenceListener[] models){
-    this.models = models;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/FactoredSequenceModel.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/FactoredSequenceModel.java
deleted file mode 100644
index 4effa02..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/FactoredSequenceModel.java
+++ /dev/null
@@ -1,140 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import edu.stanford.nlp.math.ArrayMath;
-
-/**
- * @author grenager
- *         Date: Dec 14, 2004
- *         nmramesh
- *         Date: May 12, 2010
- */
-public class FactoredSequenceModel implements SequenceModel {
-
-  SequenceModel model1;
-  SequenceModel model2;
-  double model1Wt = 1.0;
-  double model2Wt = 1.0;
-  
-  SequenceModel[] models = null;
-  double[] wts = null; 
-  /**
-   * Computes the distribution over values of the element at position pos in the sequence,
-   * conditioned on the values of the elements in all other positions of the provided sequence.
-   *
-   * @param sequence the sequence containing the rest of the values to condition on
-   * @param pos      the position of the element to give a distribution for
-   * @return an array of type double, representing a probability distribution; must sum to 1.0
-   */
-  public double[] scoresOf(int[] sequence, int pos) {
-    if(models != null){
-      double[] dist = ArrayMath.multiply(models[0].scoresOf(sequence, pos),wts[0]);
-      for(int i = 1; i < models.length; i++){
-        double[] dist_i = models[i].scoresOf(sequence, pos);
-        ArrayMath.addMultInPlace(dist,dist_i,wts[i]);
-      }
-      return dist;
-    }
-    
-    double[] dist1 = model1.scoresOf(sequence, pos);
-    double[] dist2 = model2.scoresOf(sequence, pos);
-
-    double[] dist = new double[dist1.length];
-    for(int i = 0; i < dist1.length; i++)
-      dist[i] = model1Wt*dist1[i] + model2Wt*dist2[i];
-      //dist[i] = dist1[i];
-    //double[] dist = ArrayMath.pairwiseAdd(dist1, dist2);
-
-//     if (pos > 0 && pos < sequence.length - 1) {
-//       System.err.println("position: "+pos+" ["+sequence[pos-1]+","+sequence[pos]+","+sequence[pos+1]+"]");
-//       System.err.println(java.util.Arrays.toString(sequence));
-//       for (int i = 0; i < dist.length; i++) {
-//         System.err.println(i+": "+dist1[i]+" "+dist2[i]+" "+dist[i]);
-//       }
-//       System.err.println();
-//     }
-
-    return dist;
-  }
-
-  public double scoreOf(int[] sequence, int pos) {
-    return scoresOf(sequence, pos)[sequence[pos]];
-  }
-
-  /**
-   * Computes the score assigned by this model to the provided sequence. Typically this will be a
-   * probability in log space (since the probabilities are small).
-   *
-   * @param sequence the sequence to compute a score for
-   * @return the score for the sequence
-   */
-  public double scoreOf(int[] sequence) {
-    if(models != null){
-      double score = 0;
-      for(int i = 0; i < models.length; i++)
-        score+= wts[i]*models[i].scoreOf(sequence);
-      return score;
-    }
-    //return model1.scoreOf(sequence);
-    return model1Wt*model1.scoreOf(sequence) + model2Wt*model2.scoreOf(sequence);
-  }
-
-  /**
-   * @return the length of the sequence
-   */
-  public int length() {
-    if(models != null)
-      return models[0].length();
-    return model1.length();
-  }
-
-  public int leftWindow() {
-    if(models != null)
-      return models[0].leftWindow();
-    return model1.leftWindow();
-  }
-
-  public int rightWindow() {
-    return 0;  //To change body of implemented methods use File | Settings | File Templates.
-  }
-
-  public int[] getPossibleValues(int position) {
-    if(models != null)
-      return models[0].getPossibleValues(position);
-    return model1.getPossibleValues(position);
-  }
-
-  /**
-   * using this constructor results in a weighted addition of the two models' scores. 
-   * @param model1
-   * @param model2
-   * @param wt1 weight of model1
-   * @param wt2 weight of model2
-   */
-  public FactoredSequenceModel(SequenceModel model1, SequenceModel model2, double wt1, double wt2){
-    this(model1,model2);
-    this.model1Wt = wt1;
-    this.model2Wt = wt2;
-  }
-  
-  public FactoredSequenceModel(SequenceModel model1, SequenceModel model2) {
-    //if (model1.leftWindow() != model2.leftWindow()) throw new RuntimeException("Two models must have same window size");
-    if (model1.getPossibleValues(0).length != model2.getPossibleValues(0).length) throw new RuntimeException("Two models must have the same number of classes");
-    if (model1.length() != model2.length()) throw new RuntimeException("Two models must have the same sequence length");
-    this.model1 = model1;
-    this.model2 = model2;
-  }
-  
-  public FactoredSequenceModel(SequenceModel[] models, double[] weights){
-    this.models = models;
-    this.wts = weights;
-    /*
-  for(int i = 1; i < models.length; i++){
-    if (models[0].getPossibleValues(0).length != models[i].getPossibleValues(0).length) throw new RuntimeException("All models must have the same number of classes");
-    if(models[0].length() != models[i].length())
-      throw new RuntimeException("All models must have the same sequence length");      
-    
-    }
-    */
-  }
-  
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/FeatureFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/FeatureFactory.java
deleted file mode 100644
index dd5730f..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/FeatureFactory.java
+++ /dev/null
@@ -1,108 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import java.util.*;
-import java.io.Serializable;
-
-import edu.stanford.nlp.util.PaddedList;
-
-
-/**
- * This is the abstract class that all feature factories must
- * subclass.  It also defines most of the basic {@link Clique}s
- * that you would want to make features over.  It contains a
- * convenient method, getCliques(maxLeft, maxRight) which will give
- * you all the cliques within the specified limits.
- *
- * @param <IN> The type of the items in the PaddedList from which features
- *     are extracted
- *
- * @author Jenny Finkel
- */
-public abstract class FeatureFactory<IN> implements Serializable {
-
-  private static final long serialVersionUID = 7249250071983091694L;
-
-  protected SeqClassifierFlags flags;
-
-  public FeatureFactory() {}
-
-  public void init (SeqClassifierFlags flags) {
-    this.flags = flags;
-  }
-
-  public static final Clique cliqueC = Clique.valueOf(new int[] {0});
-  public static final Clique cliqueCpC = Clique.valueOf(new int[] {-1, 0});
-  public static final Clique cliqueCp2C = Clique.valueOf(new int[] {-2, 0});
-  public static final Clique cliqueCp3C = Clique.valueOf(new int[] {-3, 0});
-  public static final Clique cliqueCp4C = Clique.valueOf(new int[] {-4, 0});
-  public static final Clique cliqueCp5C = Clique.valueOf(new int[] {-5, 0});
-  public static final Clique cliqueCpCp2C = Clique.valueOf(new int[] {-2, -1, 0});
-  public static final Clique cliqueCpCp2Cp3C = Clique.valueOf(new int[] {-3, -2, -1, 0});
-  public static final Clique cliqueCpCp2Cp3Cp4C = Clique.valueOf(new int[] {-4, -3, -2, -1, 0});
-  public static final Clique cliqueCpCp2Cp3Cp4Cp5C = Clique.valueOf(new int[] {-5, -4, -3, -2, -1, 0});
-  public static final Clique cliqueCnC = Clique.valueOf(new int[] {0, 1});
-  public static final Clique cliqueCpCnC = Clique.valueOf(new int[] {-1, 0, 1});
-
-  public static final List<Clique> knownCliques = Arrays.asList(cliqueC, cliqueCpC, cliqueCp2C, cliqueCp3C, cliqueCp4C, cliqueCp5C, cliqueCpCp2C, cliqueCpCp2Cp3C, cliqueCpCp2Cp3Cp4C, cliqueCpCp2Cp3Cp4Cp5C, cliqueCnC, cliqueCpCnC);
-
-  public List<Clique> getCliques() {
-    return getCliques(flags.maxLeft, flags.maxRight);
-  }
-
-  public static List<Clique> getCliques(int maxLeft, int maxRight) {
-    List<Clique> cliques = new ArrayList<Clique>();
-    for (Clique c : knownCliques) {
-      if (-c.maxLeft() <= maxLeft && c.maxRight() <= maxRight) {
-        cliques.add(c);
-      }
-    }
-    return cliques;
-  }
-
-  /**
-   * This method returns a {@link Collection} of the features
-   * calculated for the word at the specified position in info (the list of
-   * words) for the specified {@link Clique}.
-   * It should return the actual features, <b>NOT</b> wrapped in a
-   * {@link Features} object, as the wrapping
-   * will be done automatically.
-   * Because it takes a {@link PaddedList} you don't
-   * need to worry about indices which are outside of the list.
-   *
-   * @param info A PaddedList of the feature-value pairs
-   * @param position The current position to extract features at
-   * @param clique The particular clique for which to extract features. It
-   *     should be a member of the knownCliques list.
-   * @return A {@link Collection} of the features
-   *     calculated for the word at the specified position in info.
-   */
-  public abstract Collection<String> getCliqueFeatures(PaddedList<IN> info, int position, Clique clique);
-
-
-  /** Makes more complete feature names out of partial feature names, by
-   *  adding a suffix to the String feature name, adding results to an
-   *  accumulator
-   *
-   * @param accumulator The output features are added here
-   * @param addend The base set of features
-   * @param suffix The suffix added to each feature in the addend set
-   */
-  @SuppressWarnings({"MethodMayBeStatic"})
-  protected void addAllInterningAndSuffixing(Collection<String> accumulator, Collection<String> addend, String suffix) {
-    boolean nonNullSuffix = suffix != null && ! "".equals(suffix);
-    if (nonNullSuffix) {
-      suffix = '|' + suffix;
-    }
-    // boolean intern2 = flags.intern2;
-    for (String feat : addend) {
-      if (nonNullSuffix) {
-        feat = feat.concat(suffix);
-      }
-      // if (intern2) {
-      //   feat = feat.intern();
-      // }
-      accumulator.add(feat);
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/KBestSequenceFinder.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/KBestSequenceFinder.java
deleted file mode 100644
index 04bde4b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/KBestSequenceFinder.java
+++ /dev/null
@@ -1,217 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.stats.Counters;
-
-import java.util.Arrays;
-
-/**
- * @author Jenny Finkel
- */
-public class KBestSequenceFinder implements BestSequenceFinder {
-
-  /**
-   * Runs the Viterbi algorithm on the sequence model given by the TagScorer
-   * in order to find the best sequence.
-   * @return an array containing the int tags of the best sequence
-   */
-  public int[] bestSequence(SequenceModel ts) {
-    return Counters.argmax(kBestSequences(ts, 1));
-  }
-  
-  public ClassicCounter<int[]> kBestSequences(SequenceModel ts, int k) {
-
-    // Set up tag options
-    int length = ts.length();
-    int leftWindow = ts.leftWindow();
-    int rightWindow = ts.rightWindow();
-
-    assert (rightWindow == 0);
-    
-    int padLength = length + leftWindow + rightWindow;
-
-    int[][] tags = new int[padLength][];
-    int[] tagNum = new int[padLength];    
-    for (int pos = 0; pos < padLength; pos++) {
-      tags[pos] = ts.getPossibleValues(pos);
-      tagNum[pos] = tags[pos].length;
-    }
-
-    int[] tempTags = new int[padLength];
-
-    // Set up product space sizes
-    int[] productSizes = new int[padLength];
-
-    int curProduct = 1;
-    for (int i = 0; i < leftWindow; i++) {
-      curProduct *= tagNum[i];
-    }
-    for (int pos = leftWindow; pos < padLength; pos++) {
-      if (pos > leftWindow + rightWindow) {
-        curProduct /= tagNum[pos - leftWindow - rightWindow - 1]; // shift off
-      }
-      curProduct *= tagNum[pos]; // shift on
-      productSizes[pos - rightWindow] = curProduct;
-    }
-
-    double[][] windowScore = new double[padLength][];
-    
-    // Score all of each window's options
-    for (int pos = leftWindow; pos < leftWindow + length; pos++) {
-      windowScore[pos] = new double[productSizes[pos]];
-      Arrays.fill(tempTags, tags[0][0]);
-
-      for (int product = 0; product < productSizes[pos]; product++) {
-        int p = product;
-        int shift = 1;
-        for (int curPos = pos; curPos >= pos - leftWindow; curPos--) {
-          tempTags[curPos] = tags[curPos][p % tagNum[curPos]];
-          p /= tagNum[curPos];
-          if (curPos > pos) {
-            shift *= tagNum[curPos];
-          }
-        }
-        if (tempTags[pos] == tags[pos][0]) {
-          // get all tags at once
-          double[] scores = ts.scoresOf(tempTags, pos);
-          // fill in the relevant windowScores
-          for (int t = 0; t < tagNum[pos]; t++) {
-            windowScore[pos][product + t * shift] = scores[t];
-          }
-        }
-      }
-    }
-    
-    // Set up score and backtrace arrays
-    double[][][] score = new double[padLength][][];
-    int[][][][] trace = new int[padLength][][][];
-    int[][] numWaysToMake = new int[padLength][];
-    for (int pos = 0; pos < padLength; pos++) {
-
-      score[pos] = new double[productSizes[pos]][];
-      trace[pos] = new int[productSizes[pos]][][]; // the 2 is for backtrace, and which of the k best for that backtrace
-
-      numWaysToMake[pos] = new int[productSizes[pos]];
-      Arrays.fill(numWaysToMake[pos], 1);
-      for (int product = 0; product < productSizes[pos]; product++) {
-        if (pos == leftWindow) {
-          numWaysToMake[pos][product] = 1;
-        } else if (pos > leftWindow) {
-          // loop over possible p redece ssor types
-          int sharedProduct = product / tagNum[pos];
-          int factor = productSizes[pos] / tagNum[pos];
-          
-          numWaysToMake[pos][product] = 0;
-          for (int newTagNum = 0; newTagNum < tagNum[pos - leftWindow - 1]; newTagNum++) {
-            int predProduct = newTagNum * factor + sharedProduct;
-            numWaysToMake[pos][product] += numWaysToMake[pos-1][predProduct];
-          }
-          if (numWaysToMake[pos][product] > k) { numWaysToMake[pos][product] = k; }
-        } else {
-          numWaysToMake[pos][product] = 1;
-        }
-
-        score[pos][product] = new double[numWaysToMake[pos][product]];
-        trace[pos][product] = new int[numWaysToMake[pos][product]][2];
-      }
-    }
-    
-    // Do forward Viterbi algorithm
-
-    // loop over the classification spot
-    for (int pos = leftWindow; pos < length + leftWindow; pos++) {
-      // loop over window product types
-      for (int product = 0; product < productSizes[pos]; product++) {
-        // check for initial spot
-        if (pos == leftWindow) {
-          // no predecessor type
-          score[pos][product][0] = windowScore[pos][product];
-          trace[pos][product][0][0] = -1;
-          trace[pos][product][0][1] = -1;
-        } else {
-          // loop over possible predecessor types/k-best
-
-          for (int k1 = 0; k1 < score[pos][product].length; k1++) {
-            score[pos][product][k1] = Double.NEGATIVE_INFINITY;
-            trace[pos][product][k1][0] = -1;
-            trace[pos][product][k1][1] = -1;
-          }
-          int sharedProduct = product / tagNum[pos + rightWindow];
-          int factor = productSizes[pos] / tagNum[pos + rightWindow];
-          for (int newTagNum = 0; newTagNum < tagNum[pos - leftWindow - 1]; newTagNum++) {
-            int predProduct = newTagNum * factor + sharedProduct;
-            for (int k1 = 0; k1 < score[pos-1][predProduct].length; k1++) {
-              double predScore = score[pos - 1][predProduct][k1] + windowScore[pos][product];
-              for (int k2 = 0; k2 < score[pos][product].length; k2++) {
-                if (predScore > score[pos][product][k2]) {
-                  System.arraycopy(score[pos][product], k2, score[pos][product], k2+1, score[pos][product].length-(k2+1));
-                  System.arraycopy(trace[pos][product], k2, trace[pos][product], k2+1, trace[pos][product].length-(k2+1)); 
-                  score[pos][product][k2] = predScore;
-                  trace[pos][product][k2]= new int[2];
-                  trace[pos][product][k2][0] = predProduct;
-                  trace[pos][product][k2][1] = k1;
-                  break;
-                }
-              }
-            }
-          }
-        }
-      }
-    }
-
-    // Project the actual tag sequence
-    int[][] kBest = new int[k][padLength];
-    int[] whichDerivation = new int[k];
-    int[] bestCurrentProducts = new int[k];
-    double[] bestFinalScores = new double[k];
-    Arrays.fill(bestFinalScores, Double.NEGATIVE_INFINITY);
-
-    // just the last guy
-    for (int product = 0; product < productSizes[padLength - 1]; product++) {
-      for (int k1 = 0; k1 < score[padLength - 1][product].length; k1++) {
-        for (int k2 = 0; k2 < bestFinalScores.length; k2++) {
-          if (score[padLength - 1][product][k1] > bestFinalScores[k2]) {
-
-            System.arraycopy(bestFinalScores, k1, bestFinalScores, k1+1, bestFinalScores.length-(k1+1));
-            System.arraycopy(whichDerivation, k1, whichDerivation, k1+1, whichDerivation.length-(k1+1));
-            System.arraycopy(bestCurrentProducts, k1, bestCurrentProducts, k1+1, bestCurrentProducts.length-(k1+1));
-            
-            bestCurrentProducts[k2] = product;
-            whichDerivation[k2] = k1;
-            bestFinalScores[k2] = score[padLength - 1][product][k1];
-            break;
-          }
-        }
-      }
-    }
-    int[] lastProducts = new int[k];
-    System.arraycopy(bestCurrentProducts, 0, lastProducts, 0, lastProducts.length);
-    
-    for (int last = padLength - 1; last >= length - 1 && last >= 0; last--) {
-      for (int k1 = 0; k1 < lastProducts.length; k1++) {
-        kBest[k1][last] = tags[last][lastProducts[k1] % tagNum[last]];
-        lastProducts[k1] /= tagNum[last];
-      }
-    }
-    for (int pos = padLength - 2; pos >= leftWindow; pos--) {
-      System.arraycopy(bestCurrentProducts, 0, lastProducts, 0, lastProducts.length);
-      Arrays.fill(bestCurrentProducts, -1);
-      for (int k1 = 0; k1 < lastProducts.length; k1++) {
-        bestCurrentProducts[k1] = trace[pos + 1][lastProducts[k1]][whichDerivation[k1]][0];
-        whichDerivation[k1] = trace[pos + 1][lastProducts[k1]][whichDerivation[k1]][1];
-        kBest[k1][pos - leftWindow] = tags[pos - leftWindow][bestCurrentProducts[k1] / (productSizes[pos] / tagNum[pos - leftWindow])];
-      }
-    }
-
-    ClassicCounter<int[]> kBestWithScores = new ClassicCounter<int[]>();
-    for (int i = 0; i < kBest.length; i++) {
-      if(bestFinalScores[i] > Double.NEGATIVE_INFINITY) {
-        kBestWithScores.setCount(kBest[i], bestFinalScores[i]);
-        //System.err.println(bestFinalScores[i]+"\t"+Arrays.toString(kBest[i]));
-      }
-    }
-    
-    return kBestWithScores;
-  }
-  
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/LatticeWriter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/LatticeWriter.java
deleted file mode 100644
index d27cbdf..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/LatticeWriter.java
+++ /dev/null
@@ -1,25 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.fsm.DFSA;
-
-import java.util.List;
-import java.io.PrintWriter;
-
-/**
- * This interface is used for writing
- * lattices out of {@link SequenceClassifier}s.
- * 
- * @author Michel Galley
- */
-
-public interface LatticeWriter<IN extends CoreMap> {
-  
-  /**
-   * This method prints the output lattice (typically, Viterbi search graph) of 
-   * the classifier to a {@link PrintWriter}.
-   */
-  public void printLattice(DFSA tagLattice, List<IN> doc, PrintWriter out) ;
-  
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/ObjectBankWrapper.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/ObjectBankWrapper.java
deleted file mode 100644
index 75541bc..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/ObjectBankWrapper.java
+++ /dev/null
@@ -1,289 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.PositionAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.ShapeAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;
-import edu.stanford.nlp.objectbank.ObjectBank;
-import edu.stanford.nlp.process.Americanize;
-import edu.stanford.nlp.process.WordShapeClassifier;
-import edu.stanford.nlp.process.WordToSentenceProcessor;
-import edu.stanford.nlp.util.AbstractIterator;
-import edu.stanford.nlp.util.CoreMap;
-
-import java.util.*;
-import java.util.regex.Pattern;
-
-
-/**
- * This class is used to wrap the ObjectBank used by the sequence
- * models and is where any sort of general processing, like the IOB mapping
- * stuff and wordshape stuff, should go.
- * It checks the SeqClassifierFlags to decide what to do.
- * <p>
- * TODO: We should rearchitect this so that the FeatureFactory-specific
- * stuff is done by a callback to the relevant FeatureFactory.
- *
- * @author Jenny Finkel
- */
-
-public class ObjectBankWrapper<IN extends CoreMap> extends ObjectBank<List<IN>> {
-
-  private static final long serialVersionUID = -3838331732026362075L;
-
-  private SeqClassifierFlags flags;
-  private ObjectBank<List<IN>> wrapped;
-  private Set<String> knownLCWords;
-
-
-  public ObjectBankWrapper(SeqClassifierFlags flags, ObjectBank<List<IN>> wrapped, Set<String> knownLCWords) {
-    super(null,null);
-    this.flags = flags;
-    this.wrapped = wrapped;
-    this.knownLCWords = knownLCWords;
-  }
-
-
-  @Override
-  public Iterator<List<IN>> iterator() {
-    Iterator<List<IN>> iter = new WrappedIterator(wrapped.iterator());
-
-    // If using WordShapeClassifier, we have to make an extra pass through the
-    // data before we really process it, so that we can build up the
-    // database of known lower case words in the data.  We do that here.
-    if ((flags.wordShape > WordShapeClassifier.NOWORDSHAPE) && (!flags.useShapeStrings)) {
-      while (iter.hasNext()) {
-        List<IN> doc = iter.next();
-        for (IN fl : doc) {
-          String word = fl.get(TextAnnotation.class);
-          if (word.length() > 0) {
-            char ch = word.charAt(0);
-            if (Character.isLowerCase(ch)) {
-              knownLCWords.add(word);
-            }
-          }
-        }
-      }
-      iter = new WrappedIterator(wrapped.iterator());
-    }
-    return iter;
-  }
-
-  private class WrappedIterator extends AbstractIterator<List<IN>> {
-    Iterator<List<IN>> wrappedIter;
-    Iterator<List<IN>> spilloverIter;
-
-    public WrappedIterator(Iterator<List<IN>> wrappedIter) {
-      this.wrappedIter = wrappedIter;
-    }
-
-    @Override
-    public boolean hasNext() {
-      while ((spilloverIter == null || !spilloverIter.hasNext()) &&
-             wrappedIter.hasNext()) {
-        List<IN> doc = wrappedIter.next();
-        List<List<IN>> docs = new ArrayList<List<IN>>();
-        docs.add(doc);
-        fixDocLengths(docs);
-        spilloverIter = docs.iterator();
-      }
-      return wrappedIter.hasNext() ||
-        (spilloverIter != null && spilloverIter.hasNext());
-    }
-
-    @Override
-    public List<IN> next() {
-      // this while loop now is redundant because it should
-      // have already been done in "hasNext".
-      // I'm keeping it so that the diff is minimal.
-      // -pichuan
-      while (spilloverIter == null || !spilloverIter.hasNext()) {
-        List<IN> doc = wrappedIter.next();
-        List<List<IN>> docs = new ArrayList<List<IN>>();
-        docs.add(doc);
-        fixDocLengths(docs);
-        spilloverIter = docs.iterator();
-      }
-
-      return processDocument(spilloverIter.next());
-    }
-  }
-
-  public List<IN> processDocument(List<IN> doc) {
-    if (flags.mergeTags) { mergeTags(doc); }
-    if (flags.iobTags) { iobTags(doc); }
-    doBasicStuff(doc);
-
-    return doc;
-  }
-
-  private String intern(String s) {
-    if (flags.intern) {
-      return s.intern();
-    } else {
-      return s;
-    }
-  }
-
-
-  private final Pattern monthDayPattern = Pattern.compile("Monday|Tuesday|Wednesday|Thursday|Friday|Saturday|Sunday|January|February|March|April|May|June|July|August|September|October|November|December", Pattern.CASE_INSENSITIVE);
-
-  private String fix(String word) {
-    if (flags.normalizeTerms || flags.normalizeTimex) {
-      // Same case for days/months: map to lowercase
-      if (monthDayPattern.matcher(word).matches()) {
-        return word.toLowerCase();
-      }
-    }
-    if (flags.normalizeTerms) {
-      return Americanize.americanize(word, false);
-    }
-    return word;
-  }
-
-
-  private void doBasicStuff(List<IN> doc) {
-    int position = 0;
-    for (IN fl : doc) {
-
-      // position in document
-      fl.set(PositionAnnotation.class, Integer.toString((position++)));
-
-      // word shape
-      if ((flags.wordShape > WordShapeClassifier.NOWORDSHAPE) && (!flags.useShapeStrings)) {
-        String s = intern(WordShapeClassifier.wordShape(fl.get(TextAnnotation.class), flags.wordShape, knownLCWords));
-        fl.set(ShapeAnnotation.class, s);
-      }
-
-      // normalizing and interning
-      // was the following; should presumably now be
-      // if ("CTBSegDocumentReader".equalsIgnoreCase(flags.documentReader)) {
-      if ("edu.stanford.nlp.wordseg.Sighan2005DocumentReaderAndWriter".equalsIgnoreCase(flags.readerAndWriter)) {
-        // for Chinese segmentation, "word" is no use and ignore goldAnswer for memory efficiency.
-        fl.set(CharAnnotation.class,intern(fix(fl.get(CharAnnotation.class))));
-      } else {
-        fl.set(TextAnnotation.class, intern(fix(fl.get(TextAnnotation.class))));
-        fl.set(GoldAnswerAnnotation.class, fl.get(AnswerAnnotation.class));
-      }
-    }
-  }
-
-  /**
-   * Take a {@link List} of documents (which are themselves {@link List}s
-   * of something that extends {@link CoreMap}, CoreLabel by default),
-   * and if any are longer than the length
-   * specified by flags.maxDocSize split them up.  If maxDocSize is negative,
-   * nothing is changed.  In practice, documents need to be not too long or
-   * else the CRF inference will fail due to numerical problems.
-   * This method tries to be smart
-   * and split on sentence boundaries, but this is hard-coded to English.
-   * 
-   * @param docs The list of documents whose length might be adjusted.
-   */
-  private void fixDocLengths(List<List<IN>> docs) {
-    final int maxDocSize = flags.maxDocSize;
-
-    WordToSentenceProcessor<IN> wts = new WordToSentenceProcessor<IN>();
-    List<List<IN>> newDocuments = new ArrayList<List<IN>>();
-    for (List<IN> document : docs) {
-      if (maxDocSize <= 0 || document.size() <= maxDocSize) {
-        if (!document.isEmpty()) {
-          newDocuments.add(document);
-        }
-        continue;
-      }
-      List<List<IN>> sentences = wts.process(document);
-      List<IN> newDocument = new ArrayList<IN>();
-      for (List<IN> sentence : sentences) {
-        if (newDocument.size() + sentence.size() > maxDocSize) {
-          if (!newDocument.isEmpty()) {
-            newDocuments.add(newDocument);
-          }
-          newDocument = new ArrayList<IN>();
-        }
-        newDocument.addAll(sentence);
-      }
-      if (!newDocument.isEmpty()) {
-        newDocuments.add(newDocument);
-      }
-    }
-
-    docs.clear();
-    docs.addAll(newDocuments);
-  }
-
-  private void iobTags(List<IN> doc) {
-    String lastTag = "";
-    for (IN wi : doc) {
-      String answer = wi.get(AnswerAnnotation.class);
-      if (!answer.equals(flags.backgroundSymbol)) {
-        int index = answer.indexOf('-');
-        String prefix;
-        String label;
-        if (index < 0) {
-          prefix = "";
-          label = answer;
-        } else {
-          prefix = answer.substring(0,1);
-          label = answer.substring(2);
-        }
-
-        if (!prefix.equals("B")) {
-          if (!lastTag.equals(label)) {
-            wi.set(AnswerAnnotation.class, "B-" + label);
-          } else {
-            wi.set(AnswerAnnotation.class, "I-" + label);
-          }
-        }
-        lastTag = label;
-      } else {
-        lastTag = answer;
-      }
-    }
-  }
-
-
-  private void mergeTags(List<IN> doc) {
-    for (IN wi : doc) {
-      String answer = wi.get(AnswerAnnotation.class);
-      if (answer == null) {
-        continue;
-      }
-      if (!answer.equals(flags.backgroundSymbol) && answer.indexOf('-') >= 0) {
-        answer = answer.substring(2);
-      }
-      wi.set(AnswerAnnotation.class, answer);
-    }
-  }
-
-
-  // all the other the crap from ObjectBank
-  @Override
-  public boolean add(List<IN> o) { return wrapped.add(o); }
-  @Override
-  public boolean addAll(Collection<? extends List<IN>> c) { return wrapped.addAll(c); }
-  @Override
-  public void clear() { wrapped.clear(); }
-  @Override
-  public void clearMemory() { wrapped.clearMemory(); }
-  public boolean contains(List<IN> o) { return wrapped.contains(o); }
-  @Override
-  public boolean containsAll(Collection<?> c) { return wrapped.containsAll(c); }
-  @Override
-  public boolean isEmpty() { return wrapped.isEmpty(); }
-  @Override
-  public void keepInMemory(boolean keep) { wrapped.keepInMemory(keep); }
-  public boolean remove(List<IN> o) { return wrapped.remove(o); }
-  @Override
-  public boolean removeAll(Collection<?> c) { return wrapped.removeAll(c); }
-  @Override
-  public boolean retainAll(Collection<?> c) { return wrapped.retainAll(c); }
-  @Override
-  public int size() { return wrapped.size(); }
-  @Override
-  public Object[] toArray() { return wrapped.toArray(); }
-  public List<IN>[] toArray(List<IN>[] o) { return wrapped.toArray(o); }
-
-} // end class ObjectBankWrapper
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/PlainTextDocumentReaderAndWriter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/PlainTextDocumentReaderAndWriter.java
deleted file mode 100644
index bd24be4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/PlainTextDocumentReaderAndWriter.java
+++ /dev/null
@@ -1,474 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import edu.stanford.nlp.ling.CoreAnnotations;
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.PositionAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;
-import edu.stanford.nlp.objectbank.TokenizerFactory;
-import edu.stanford.nlp.process.CoreLabelTokenFactory;
-import edu.stanford.nlp.process.CoreTokenFactory;
-import edu.stanford.nlp.process.PTBTokenizer;
-import edu.stanford.nlp.process.Tokenizer;
-import edu.stanford.nlp.process.WordToSentenceProcessor;
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.StringUtils;
-import edu.stanford.nlp.util.XMLUtils;
-
-import java.io.*;
-import java.util.*;
-import java.util.regex.*;
-
-/**
- * This class provides methods for reading plain text documents and writing out
- * those documents once classified in several different formats.
- * <p>
- * <i>Implementation note:</i> see
- * itest/src/edu/stanford/nlp/ie/crf/CRFClassifierITest.java for examples and
- * test cases for the output options.
- *
- * It can be over anything that extends {@link CoreMap}, and the default is
- * {@link CoreLabel}
- *
- * @author Jenny Finkel
- * @author Christopher Manning (new output options organization)
- * @author Sonal Gupta (made the class generic)
- */
-public class PlainTextDocumentReaderAndWriter<IN extends CoreMap> implements DocumentReaderAndWriter<IN> {
-
-  // todo: This is hardwired for PTBTokenizer, and hence languages roughly
-  // like English. There should be flags which would allow it to be used with
-  // other languages/tokenizers, perhaps instead involving changes in
-  // CRFClassifier, etc.
-
-  private static final long serialVersionUID = -2420535144980273136L;
-
-  public enum OutputStyle {
-    SLASH_TAGS    ("slashTags"),
-    XML           ("xml"),
-    INLINE_XML    ("inlineXML"),
-    TSV           ("tsv");
-
-    private final String shortName;
-    OutputStyle(String shortName) {
-      this.shortName = shortName;
-    }
-
-    private static final Map<String, OutputStyle> shortNames =
-      new HashMap<String, OutputStyle>();
-    static {
-      for (OutputStyle style : OutputStyle.values())
-        shortNames.put(style.shortName, style);
-    }
-
-    /*
-     * Convert a String expressing an output format to its internal
-     * coding as an OutputStyle.
-     *
-     * @param outputFormat
-     *        The String
-     * @return OutputStyle The internal constant
-     */
-    public static OutputStyle fromShortName(String name) {
-      OutputStyle result = shortNames.get(name);
-      if (result == null)
-        throw new IllegalArgumentException(name + " is not an OutputStyle");
-      return result;
-    }
-  }
-
-  private static final Pattern sgml = Pattern.compile("<[^>]*>");
-  private final WordToSentenceProcessor<IN> wts = new WordToSentenceProcessor<IN>();
-
-  private SeqClassifierFlags flags; // = null;
-  private TokenizerFactory<IN> tokenizerFactory;
-  private CoreTokenFactory<IN> tokenFactory;
-
-  /**
-   * Construct a PlainTextDocumentReaderAndWriter. You should call init() after
-   * using the constructor.
-   */
-  public PlainTextDocumentReaderAndWriter() {
-  }
-
-  public void init(SeqClassifierFlags flags) {
-
-    init(flags, (TokenizerFactory<IN>) PTBTokenizer.factory(false, true));
-  }
-
-  public void init(SeqClassifierFlags flags, TokenizerFactory<IN> tokenizerFactory) {
-    if (flags.tokenFactory == null)
-      tokenFactory = (CoreTokenFactory<IN>) new CoreLabelTokenFactory();
-    else {
-      try {
-        this.tokenFactory = (CoreTokenFactory<IN>) Class.forName(flags.tokenFactory).newInstance();
-      } catch (Exception e) {
-        throw new RuntimeException(e);
-      }
-    }
-    init(flags, tokenizerFactory, tokenFactory);
-  }
-
-  public void init(SeqClassifierFlags flags, TokenizerFactory<IN> tokenizerFactory, CoreTokenFactory<IN> tokenFactory) {
-    this.flags = flags;
-    this.tokenizerFactory = tokenizerFactory;
-    this.tokenFactory = tokenFactory;
-  }
-
-  // todo: give options for document splitting. A line or the whole file or
-  // sentence splitting as now
-  public Iterator<List<IN>> getIterator(Reader r) {
-    Tokenizer<IN> tokenizer = tokenizerFactory.getTokenizer(r);
-    // PTBTokenizer.newPTBTokenizer(r, false, true);
-    List<IN> words = new ArrayList<IN>();
-    IN previous = tokenFactory.makeToken();
-    StringBuilder prepend = new StringBuilder();
-
-    /*
-     * This changes SGML tags into whitespace -- it should maybe be moved
-     * elsewhere
-     */
-    while (tokenizer.hasNext()) {
-      IN w = tokenizer.next();
-      String word = w.get(CoreAnnotations.TextAnnotation.class);
-      Matcher m = sgml.matcher(word);
-      if (m.matches()) {
-
-        String before = StringUtils.getNotNullString(w.get(CoreAnnotations.BeforeAnnotation.class));
-        String after = StringUtils.getNotNullString(w.get(CoreAnnotations.AfterAnnotation.class));
-        prepend.append(before).append(word);
-        String previousTokenAfter = StringUtils.getNotNullString(previous.get(CoreAnnotations.AfterAnnotation.class));
-        previous.set(AfterAnnotation.class, previousTokenAfter + word + after);
-        // previous.appendAfter(w.word() + w.after());
-      } else {
-
-        String before = StringUtils.getNotNullString(w.get(CoreAnnotations.BeforeAnnotation.class));
-        if (prepend.length() > 0) {
-          w.set(BeforeAnnotation.class, prepend.toString() + before);
-          // w.prependBefore(prepend.toString());
-          prepend = new StringBuilder();
-        }
-        words.add(w);
-        previous = w;
-      }
-    }
-
-    List<List<IN>> sentences = wts.process(words);
-    String after = "";
-    IN last = null;
-    for (List<IN> sentence : sentences) {
-      int pos = 0;
-      for (IN w : sentence) {
-        w.set(PositionAnnotation.class, Integer.toString(pos));
-        after = StringUtils.getNotNullString(w.get(CoreAnnotations.AfterAnnotation.class));
-        w.remove(AfterAnnotation.class);
-        last = w;
-      }
-    }
-    if (last != null) {
-      last.set(AfterAnnotation.class, after);
-    }
-
-    return sentences.iterator();
-  }
-
-
-  /**
-   * Print the classifications for the document to the given Writer. This method
-   * now checks the <code>outputFormat</code> property, and can print in
-   * slashTags, inlineXML, or xml (stand-Off XML). For both the XML output
-   * formats, it preserves spacing, while for the slashTags format, it prints
-   * tokenized (since preserveSpacing output is somewhat dysfunctional with the
-   * slashTags format).
-   *
-   * @param list
-   *          List of tokens with classifier answers
-   * @param out
-   *          Where to print the output to
-   */
-  public void printAnswers(List<IN> list, PrintWriter out) {
-    String style = null;
-    if (flags != null) {
-      style = flags.outputFormat;
-    }
-    if (style == null || "".equals(style)) {
-      style = "slashTags";
-    }
-    OutputStyle outputStyle = OutputStyle.fromShortName(style);
-    printAnswers(list, out, outputStyle, !"slashTags".equals(style));
-  }
-
-  public String getAnswers(List<IN> l,
-                           OutputStyle outputStyle, boolean preserveSpacing) {
-    StringWriter sw = new StringWriter();
-    PrintWriter pw = new PrintWriter(sw);
-    printAnswers(l, pw, outputStyle, preserveSpacing);
-    pw.flush();
-    return sw.toString();
-  }
-
-  public void printAnswers(List<IN> l, PrintWriter out,
-                           OutputStyle outputStyle, boolean preserveSpacing) {
-    switch (outputStyle) {
-    case SLASH_TAGS:
-      if (preserveSpacing) {
-        printAnswersAsIsText(l, out);
-      } else {
-        printAnswersTokenizedText(l, out);
-      }
-      break;
-    case XML:
-      if (preserveSpacing) {
-        printAnswersXML(l, out);
-      } else {
-        printAnswersTokenizedXML(l, out);
-      }
-      break;
-    case INLINE_XML:
-      if (preserveSpacing) {
-        printAnswersInlineXML(l, out);
-      } else {
-        printAnswersTokenizedInlineXML(l, out);
-      }
-      break;
-    default:
-      throw new IllegalArgumentException(outputStyle +
-                                         " is an unsupported OutputStyle");
-    }
-  }
-
-  private static <IN extends CoreMap> void printAnswersTokenizedText(List<IN> l, PrintWriter out) {
-    for (IN wi : l) {
-      out.print(StringUtils.getNotNullString(wi.get(TextAnnotation.class)));
-      out.print('/');
-      out.print(StringUtils.getNotNullString(wi.get(AnswerAnnotation.class)));
-      out.print(' ');
-    }
-    out.println(); // put a single newline at the end [added 20091024].
-  }
-
-  private static <IN extends CoreMap> void printAnswersAsIsText(List<IN> l, PrintWriter out) {
-    for (IN wi : l) {
-      out.print(StringUtils.getNotNullString(wi.get(BeforeAnnotation.class)));
-      out.print(StringUtils.getNotNullString(wi.get(TextAnnotation.class)));
-      out.print('/');
-      out.print(StringUtils.getNotNullString(wi.get(AnswerAnnotation.class)));
-      out.print(StringUtils.getNotNullString(wi.get(AfterAnnotation.class)));
-    }
-  }
-
-  private static <IN extends CoreMap> void printAnswersXML(List<IN> doc, PrintWriter out) {
-    int num = 0;
-    for (IN wi : doc) {
-      String prev = StringUtils.getNotNullString(wi.get(BeforeAnnotation.class));
-      out.print(prev);
-      out.print("<wi num=\"");
-      // tag.append(wi.get("position"));
-      out.print(num++);
-      out.print("\" entity=\"");
-      out.print(StringUtils.getNotNullString(wi.get(AnswerAnnotation.class)));
-      out.print("\">");
-      out.print(XMLUtils.escapeXML(StringUtils.getNotNullString(wi.get(TextAnnotation.class))));
-      out.print("</wi>");
-      String after = StringUtils.getNotNullString(wi.get(AfterAnnotation.class));
-      out.print(after);
-    }
-  }
-
-  private static <IN extends CoreMap> void printAnswersTokenizedXML(List<IN> doc, PrintWriter out) {
-    int num = 0;
-    for (IN wi : doc) {
-      out.print("<wi num=\"");
-      // tag.append(wi.get("position"));
-      out.print(num++);
-      out.print("\" entity=\"");
-      out.print(StringUtils.getNotNullString(wi.get(AnswerAnnotation.class)));
-      out.print("\">");
-      out.print(XMLUtils.escapeXML(StringUtils.getNotNullString(wi.get(TextAnnotation.class))));
-      out.println("</wi>");
-    }
-  }
-
-  private void printAnswersInlineXML(List<IN> doc, PrintWriter out) {
-    final String background = flags.backgroundSymbol;
-    String prevTag = background;
-    for (Iterator<IN> wordIter = doc.iterator(); wordIter.hasNext();) {
-      IN wi = wordIter.next();
-      String tag = StringUtils.getNotNullString(wi.get(AnswerAnnotation.class));
-
-      String before = StringUtils.getNotNullString(wi.get(BeforeAnnotation.class));
-
-      String current = StringUtils.getNotNullString(wi.get(CoreAnnotations.OriginalTextAnnotation.class));
-      if (!tag.equals(prevTag)) {
-        if (!prevTag.equals(background) && !tag.equals(background)) {
-          out.print("</");
-          out.print(prevTag);
-          out.print('>');
-          out.print(before);
-          out.print('<');
-          out.print(tag);
-          out.print('>');
-        } else if (!prevTag.equals(background)) {
-          out.print("</");
-          out.print(prevTag);
-          out.print('>');
-          out.print(before);
-        } else if (!tag.equals(background)) {
-          out.print(before);
-          out.print('<');
-          out.print(tag);
-          out.print('>');
-        }
-      } else {
-        out.print(before);
-      }
-      out.print(current);
-      String afterWS = StringUtils.getNotNullString(wi.get(AfterAnnotation.class));
-
-      if (!tag.equals(background) && !wordIter.hasNext()) {
-        out.print("</");
-        out.print(tag);
-        out.print('>');
-        prevTag = background;
-      } else {
-        prevTag = tag;
-      }
-      out.print(afterWS);
-    }
-  }
-
-  private void printAnswersTokenizedInlineXML(List<IN> doc, PrintWriter out) {
-    final String background = flags.backgroundSymbol;
-    String prevTag = background;
-    boolean first = true;
-    for (Iterator<IN> wordIter = doc.iterator(); wordIter.hasNext();) {
-      IN wi = wordIter.next();
-      String tag = StringUtils.getNotNullString(wi.get(AnswerAnnotation.class));
-      if (!tag.equals(prevTag)) {
-        if (!prevTag.equals(background) && !tag.equals(background)) {
-          out.print("</");
-          out.print(prevTag);
-          out.print("> <");
-          out.print(tag);
-          out.print('>');
-        } else if (!prevTag.equals(background)) {
-          out.print("</");
-          out.print(prevTag);
-          out.print("> ");
-        } else if (!tag.equals(background)) {
-          if (!first) {
-            out.print(' ');
-          }
-          out.print('<');
-          out.print(tag);
-          out.print('>');
-        }
-      } else {
-        if (!first) {
-          out.print(' ');
-        }
-      }
-      first = false;
-      out.print(StringUtils.getNotNullString(wi.get(CoreAnnotations.OriginalTextAnnotation.class)));
-
-      if (!wordIter.hasNext()) {
-        if (!tag.equals(background)) {
-          out.print("</");
-          out.print(tag);
-          out.print('>');
-        }
-        out.print(' ');
-        prevTag = background;
-      } else {
-        prevTag = tag;
-      }
-    }
-    out.println();
-  }
-
-}
-
-/*
- * This is old stuff from a brief period when this DocumentReaderAndWriter tried
- * to handle treating SGML tags as part of white space, even though they were
- * returned as tokens by the tokenizer. If this is to be revived, it seems like
- * this handling should be moved down into the tokenizer.
- *
- * These first two class declarations used to be in CoreAnnotations. The rest
- * used to be in this class.
- *
- * public static class PrevSGMLAnnotation implements CoreAnnotation<String> {
- * public Class<String> getType() { return String.class; } }
- *
- * public static class AfterSGMLAnnotation implements CoreAnnotation<String> {
- * public Class<String> getType() { return String.class; } }
- *
- *
- *
- * public Iterator<List<IN>> getIterator(Reader r) { PTBTokenizer<IN> ptb =
- * PTBTokenizer.newPTBTokenizer(r, false, true); List firstSplit = new
- * ArrayList(); List<IN> d = new ArrayList<IN>();
- *
- * while (ptb.hasNext()) { IN w = ptb.next(); Matcher m =
- * sgml.matcher(w.word()); if (m.matches()) { if (d.size() > 0) {
- * firstSplit.add(d); d = new ArrayList<IN>(); } firstSplit.add(w); continue; }
- * d.add(w); } if (d.size() > 0) { firstSplit.add(d); }
- *
- * List secondSplit = new ArrayList(); for (Object o : firstSplit) { if (o
- * instanceof List) { secondSplit.addAll(wts.process((List) o)); } else {
- * secondSplit.add(o); } }
- *
- * String prevTags = ""; IN lastWord = null;
- *
- * List<List<IN>> documents = new ArrayList<List<IN>>();
- *
- * boolean first = true;
- *
- * for (Object o : secondSplit) { if (o instanceof List) { List doc = (List) o;
- * List<IN> document = new ArrayList<IN>(); int pos = 0; for (Iterator wordIter
- * = doc.iterator(); wordIter.hasNext(); pos++) { IN w = (IN) wordIter.next();
- * w.set(PositionAnnotation.class, Integer.toString(pos)); if (first &&
- * prevTags.length() > 0) { w.set(PrevSGMLAnnotation.class, prevTags); } first =
- * false; lastWord = w; document.add(w); } documents.add(document); } else {
- * //String tag = ((Word) o).word(); IN word = (IN) o; String tag =
- * word.before() + word.current(); if (first) { System.err.println(word);
- * prevTags = tag; } else { String t =
- * lastWord.getString(AfterSGMLAnnotation.class); tag = t + tag;
- * lastWord.set(AfterSGMLAnnotation.class, tag); } } }
- *
- * // this is a hack to deal with the incorrect assumption in the above code
- * that // SGML only occurs between sentences and never inside of them. List<IN>
- * allWords = new ArrayList<IN>(); for (List<IN> doc : documents) {
- * allWords.addAll(doc); }
- *
- * List<List<IN>> documentsFinal = wts.process(allWords);
- * System.err.println(documentsFinal.get(0).get(0)); System.exit(0);
- *
- * return documentsFinal.iterator(); // return documents.iterator(); }
- *
- *
- * public void printAnswersInlineXML(List<IN> doc, PrintWriter out) { final
- * String background = flags.backgroundSymbol; String prevTag = background; for
- * (Iterator<IN> wordIter = doc.iterator(); wordIter.hasNext(); ) { IN wi =
- * wordIter.next(); String prev = wi.getString(PrevSGMLAnnotation.class);
- * out.print(prev); if (prev.length() > 0) { prevTag = background; } String tag
- * = wi.getString(AnswerAnnotation.class); if ( ! tag.equals(prevTag)) { if ( !
- * prevTag.equals(background) && ! tag.equals(background)) { out.print("</");
- * out.print(prevTag); out.print('>');
- * out.print(wi.getString(BeforeAnnotation.class)); out.print('<');
- * out.print(tag); out.print('>'); } else if ( ! prevTag.equals(background)) {
- * out.print("</"); out.print(prevTag); out.print('>');
- * out.print(wi.getString(BeforeAnnotation.class)); } else if ( !
- * tag.equals(background)) { out.print(wi.getString(BeforeAnnotation.class));
- * out.print('<'); out.print(tag); out.print('>'); } } else {
- * out.print(wi.getString(BeforeAnnotation.class)); }
- * out.print(wi.getString(OriginalTextAnnotation.class)); String after =
- * wi.getString(AfterSGMLAnnotation.class); String afterWS =
- * wi.getString(AfterAnnotation.class);
- *
- * if ( ! tag.equals(background) && ( ! wordIter.hasNext() || after.length() >
- * 0)) { out.print("</"); out.print(tag); out.print('>'); prevTag = background;
- * } else { prevTag = tag; } out.print(afterWS); out.print(after); } }
- */
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SeqClassifierFlags.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SeqClassifierFlags.java
deleted file mode 100644
index 49ceb36..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SeqClassifierFlags.java
+++ /dev/null
@@ -1,1843 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.optimization.StochasticCalculateMethods;
-import edu.stanford.nlp.process.WordShapeClassifier;
-
-import java.io.Serializable;
-import java.util.*;
-
-
-/** Flags for sequence classifiers. Documentation for general flags and
- *  flags for NER can be found in the Javadoc of
- *  {@link edu.stanford.nlp.ie.NERFeatureFactory}.
- *  Documentation for the flags for Chinese word segmentation can be
- *  found in the Javadoc of
- *  {@link edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory}.
- *  <p/>
- *
- *  <i>IMPORTANT NOTE IF CHANGING THIS FILE:</i> <b>MAKE SURE</b> TO ONLY ADD
- *  NEW VARIABLES AT THE END OF THE LIST OF VARIABLES
- *  (and not to change existing variables)!
- *  Otherwise you usually break all currently serialized classifiers!!!
- *  Search for "ADD VARIABLES ABOVE HERE" below.
- *
- * Some general flags are described here
- * <table border="1">
- * <tr><td><b>Property Name</b></td><td><b>Type</b></td><td><b>Default Value</b></td><td><b>Description</b></td></tr>
- * <tr><td>useQN</td><td>boolean</td><td>true</td><td>Use Quasi-Newton (L-BFGS) to find minimum.  NOTE: Need to set this to false if using other minimizers such as SGD.</td></tr>
- * <tr><td> QNsize</td><td>int</td><td>25</td><td>Number of previous iterations of Quasi-Newton to store (this increases memory use, but speeds convergence by letting the Quasi-Newton optimization more effectively approximate the second derivative).</td></tr>
- * <tr><td> QNsize2</td><td>int</td><td>25</td><td>Number of previous iterations of Quasi-Newton to store (used when pruning features, after the first iteration - the first iteration is with QNSize).</td></tr>
- * <tr><td>useInPlaceSGD</td><td>boolean</td><td>false</td><td>Use SGD (tweaking weights in place) to find minimum (more efficient than the old SGD, faster to converge than Quasi-Newtown if there are very large of samples).  Implemented for CRFClassifier.  NOTE: Remember to set useQN to false</td></tr>
- * <tr><td> tuneSampleSize</td><td>int</td><td>-1</td><td>If this number is greater than 0, specifies the number of samples to use for tuning (default is 1000).</td></tr>
- * <tr><td> SGDPasses</td><td>int</td><td>-1</td><td>If this number is greater than 0, specifies the number of SGD passes over entire training set) to do before giving up (default is 50).  Can be smaller if sample size is very large.</td></tr>
- * <tr><td>useSGD</td><td>boolean</td><td>false</td><td>Use SGD to find minimum (can be slow).  NOTE: Remember to set useQN to false</td></tr>
- * <tr><td>useSGDtoQN</td><td>boolean</td><td>false</td><td>Use SGD (SGD version selected by useInPlaceSGD or useSGD) for a certain number of passes (SGDPasses) and then switches to QN.  Gives the quick initial convergence of SGD, with the desired convergence criterion of QN (there is some rampup time for QN).  NOTE: Remember to set useQN to false</td></tr>
- * <tr><td>evaluateIters</td><td>int</td><td>0</td><td>If this number is greater than 0, evaluates on the test set every so often while minimizing.  Implemented for CRFClassifier.</td></tr>
- * <tr><td> evalCmd</td><td>String</td><td></td><td>If specified (and evaluateIters is set), runs the specified cmdline command during evaluation (instead of default CONLL-like NER evaluation)</td></tr>
- * <tr><td> evaluateTrain</td><td>boolean</td><td>false</td><td>If specified (and evaluateIters is set), also evaluate on training set (can be expensive)</td></tr>
- * </table>
- *
- *  @author Jenny Finkel
- */
-public class SeqClassifierFlags implements Serializable {
-
-  private static final long serialVersionUID = -7076671761070232567L;
-
-  public static final String DEFAULT_BACKGROUND_SYMBOL = "O";
-
-  private String stringRep = "";
-
-  public boolean useNGrams = false;
-  public boolean conjoinShapeNGrams = false;
-  public boolean lowercaseNGrams = false;
-  public boolean dehyphenateNGrams = false;
-  public boolean usePrev = false;
-  public boolean useNext = false;
-  public boolean useTags = false;
-  public boolean useWordPairs = false;
-  public boolean useGazettes = false;
-  public boolean useSequences = true;
-  public boolean usePrevSequences = false;
-  public boolean useNextSequences = false;
-  public boolean useLongSequences = false;
-  public boolean useBoundarySequences = false;
-  public boolean useTaggySequences = false;
-  public boolean useExtraTaggySequences = false;
-  public boolean dontExtendTaggy = false;
-  public boolean useTaggySequencesShapeInteraction = false;
-  public boolean strictlyZeroethOrder = false;
-  public boolean strictlyFirstOrder = false;
-  public boolean strictlySecondOrder = false;
-  public boolean strictlyThirdOrder = false;
-  public String entitySubclassification = "IO";
-  public boolean retainEntitySubclassification = false;
-  public boolean useGazettePhrases = false;
-  public boolean makeConsistent = false;
-  public boolean useWordLabelCounts = false;
-  //boolean usePrevInstanceLabel = false;
-  //boolean useNextInstanceLabel = false;
-  public boolean useViterbi = true;
-
-  public int[] binnedLengths = null;
-
-  public boolean verboseMode = false;
-
-  public boolean useSum = false;
-  public double tolerance = 1e-4;
-  // Turned on if non-null. Becomes part of the filename features are printed to
-  public String printFeatures = null;
-
-  public boolean useSymTags = false;
-  /**
-   * useSymWordPairs Has a small negative effect.
-   */
-  public boolean useSymWordPairs = false;
-
-  public String printClassifier = "WeightHistogram";
-  public int printClassifierParam = 100;
-
-  public boolean intern = false;
-  public boolean intern2 = false;
-  public boolean selfTest = false;
-
-  public boolean sloppyGazette = false;
-  public boolean cleanGazette = false;
-
-  public boolean noMidNGrams = false;
-  public int maxNGramLeng = -1;
-  public boolean useReverse = false;
-
-  public boolean greekifyNGrams = false;
-
-  public boolean useParenMatching = false;
-
-  public boolean useLemmas = false;
-  public boolean usePrevNextLemmas = false;
-  public boolean normalizeTerms = false;
-  public boolean normalizeTimex = false;
-
-  public boolean useNB = false;
-  public boolean useQN = true;
-  public boolean useFloat = false;
-
-  public int QNsize = 25;
-  public int QNsize2 = 25;
-  public int maxIterations = -1;
-
-  public int wordShape = WordShapeClassifier.NOWORDSHAPE;
-  public boolean useShapeStrings = false;
-  public boolean useTypeSeqs = false;
-  public boolean useTypeSeqs2 = false;
-  public boolean useTypeSeqs3 = false;
-  public boolean useDisjunctive = false;
-  public int disjunctionWidth = 4;
-  public boolean useDisjunctiveShapeInteraction = false;
-  public boolean useDisjShape = false;
-
-  public boolean useWord = true;  // ON by default
-  public boolean useClassFeature = false;
-  public boolean useShapeConjunctions = false;
-  public boolean useWordTag = false;
-  public boolean useNPHead = false;
-  public boolean useNPGovernor = false;
-  public boolean useHeadGov = false;
-
-  public boolean useLastRealWord = false;
-  public boolean useNextRealWord = false;
-  public boolean useOccurrencePatterns = false;
-  public boolean useTypeySequences = false;
-
-  public boolean justify = false;
-
-  public boolean normalize = false;
-
-  public String priorType = "QUADRATIC";
-  public double sigma = 1.0;
-  public double epsilon = 0.01;
-
-  public int beamSize = 30;
-
-  public int maxLeft = 2;
-  public int maxRight = 0;
-
-  public boolean usePosition = false;
-  public boolean useBeginSent = false;
-  public boolean useGazFeatures = false;
-  public boolean useMoreGazFeatures = false;
-  public boolean useAbbr = false;
-  public boolean useMinimalAbbr = false;
-  public boolean useAbbr1 = false;
-  public boolean useMinimalAbbr1 = false;
-  public boolean useMoreAbbr = false;
-
-  public boolean deleteBlankLines = false;
-
-  public boolean useGENIA = false;
-  public boolean useTOK = false;
-  public boolean useABSTR = false;
-  public boolean useABSTRFreqDict = false;
-  public boolean useABSTRFreq = false;
-  public boolean useFREQ = false;
-  public boolean useABGENE = false;
-  public boolean useWEB = false;
-  public boolean useWEBFreqDict = false;
-  public boolean useIsURL = false;
-  public boolean useURLSequences = false;
-  public boolean useIsDateRange = false;
-  public boolean useEntityTypes = false;
-  public boolean useEntityTypeSequences = false;
-  public boolean useEntityRule =false;
-  public boolean useOrdinal=false;
-  public boolean useACR = false;
-  public boolean useANTE = false;
-
-  public boolean useMoreTags = false;
-
-  public boolean useChunks = false;
-  public boolean useChunkySequences = false;
-
-  public boolean usePrevVB = false;
-  public boolean useNextVB = false;
-  public boolean useVB = false;
-  public boolean subCWGaz = false;
-
-  public String documentReader = "ColumnDocumentReader";  // TODO OBSOLETE: delete when breaking serialization sometime.
-
-  //  public String trainMap = "word=0,tag=1,answer=2";
-  //  public String testMap = "word=0,tag=1,answer=2";
-  public String map = "word=0,tag=1,answer=2";
-
-  public boolean useWideDisjunctive = false;
-  public int wideDisjunctionWidth = 10;
-
-  // chinese word-segmenter features
-  public boolean useRadical = false;
-  public boolean useBigramInTwoClique = false;
-  public String morphFeatureFile = null;
-  public boolean useReverseAffix = false;
-  public int charHalfWindow = 3;
-  public boolean useWord1 = false;
-  public boolean useWord2 = false;
-  public boolean useWord3 = false;
-  public boolean useWord4 = false;
-  public boolean useRad1 = false;
-  public boolean useRad2 = false;
-  public boolean useWordn = false;
-  public boolean useCTBPre1 = false;
-  public boolean useCTBSuf1 = false;
-  public boolean useASBCPre1 = false;
-  public boolean useASBCSuf1 = false;
-  public boolean usePKPre1 = false;
-  public boolean usePKSuf1 = false;
-  public boolean useHKPre1 = false;
-  public boolean useHKSuf1 = false;
-  public boolean useCTBChar2= false;
-  public boolean useASBCChar2= false;
-  public boolean useHKChar2= false;
-  public boolean usePKChar2= false;
-  public boolean useRule2=false;
-  public boolean useDict2=false;
-  public boolean useOutDict2=false;
-  public String  outDict2="/u/htseng/scr/chunking/segmentation/out.lexicon";
-  public boolean useDictleng=false;
-  public boolean useDictCTB2=false;
-  public boolean useDictASBC2=false;
-  public boolean useDictPK2=false;
-  public boolean useDictHK2=false;
-  public boolean useBig5=false;
-  public boolean useNegDict2=false;
-  public boolean useNegDict3=false;
-  public boolean useNegDict4=false;
-  public boolean useNegCTBDict2=false;
-  public boolean useNegCTBDict3=false;
-  public boolean useNegCTBDict4=false;
-  public boolean useNegASBCDict2=false;
-  public boolean useNegASBCDict3=false;
-  public boolean useNegASBCDict4=false;
-  public boolean useNegHKDict2=false;
-  public boolean useNegHKDict3=false;
-  public boolean useNegHKDict4=false;
-  public boolean useNegPKDict2=false;
-  public boolean useNegPKDict3=false;
-  public boolean useNegPKDict4=false;
-  public boolean usePre=false;
-  public boolean useSuf=false;
-  public boolean useRule=false;
-  public boolean useHk=false;
-  public boolean useMsr=false;
-  public boolean useMSRChar2=false;
-  public boolean usePk=false;
-  public boolean useAs=false;
-  public boolean useFilter=false; // TODO this flag is used for nothing; delete when breaking serialization
-  public boolean largeChSegFile =false; // TODO this flag is used for nothing; delete when breaking serialization
-  public boolean useRad2b = false;
-
-  /**
-   * Keep the whitespace between English words in testFile when printing out answers.
-   * Doesn't really change the content of the CoreLabels. (For Chinese segmentation.)
-   */
-  public boolean keepEnglishWhitespaces = false;
-
-  /**
-   * Keep all the whitespace words in testFile when printing out answers.
-   * Doesn't really change the content of the CoreLabels. (For Chinese segmentation.)
-   */
-  public boolean keepAllWhitespaces = false;
-
-  public boolean sighanPostProcessing = false;
-
-  /**
-   * use POS information (an "open" feature for Chinese segmentation)
-   */
-  public boolean useChPos = false;
-
-  // CTBSegDocumentReader normalization table
-  // A value of null means that a default algorithmic normalization
-  // is done in which ASCII characters get mapped to their fullwidth
-  // equivalents in the Unihan range
-  public String normalizationTable; // = null;
-  public String dictionary; // = null;
-  public String serializedDictionary; // = null;
-  public String dictionary2; // = null;
-  public String normTableEncoding = "GB18030";
-
-  /** for Sighan bakeoff 2005, the path to the dictionary of bigrams appeared in corpus */
-  public String sighanCorporaDict = "/u/nlp/data/chinese-segmenter/";
-
-  // end Sighan 20005 chinese word-segmenter features/properties
-
-  public boolean useWordShapeGaz = false;
-  public String wordShapeGaz = null;
-
-  // TODO: This should maybe be removed in favor of suppressing splitting when maxDocLength <= 0, when next breaking serialization
-  public boolean splitDocuments = true;
-
-  public boolean printXML = false;
-
-  public boolean useSeenFeaturesOnly = false;
-
-  public String lastNameList = "/u/nlp/data/dist.all.last";
-  public String maleNameList = "/u/nlp/data/dist.male.first";
-  public String femaleNameList = "/u/nlp/data/dist.female.first";
-
-  // don't want these serialized
-  public transient String trainFile = null;
-  /** NER adaptation (Gaussian prior) parameters. */
-  public transient String adaptFile = null;
-  public transient String devFile = null;
-  public transient String testFile = null;
-  public transient String textFile = null;
-  public transient String outputFile = null;
-  public transient String loadClassifier = null;
-  public transient String loadTextClassifier = null;
-  public transient String loadJarClassifier = null;
-  public transient String loadAuxClassifier = null;
-  public transient String serializeTo = null;
-  public transient String serializeToText = null;
-  public transient int interimOutputFreq = 0;
-  public transient String initialWeights = null;
-  public transient List<String> gazettes = new ArrayList<String>();
-  public transient String selfTrainFile = null;
-
-  public String inputEncoding = "UTF-8"; // used for CTBSegDocumentReader as well
-
-  public boolean bioSubmitOutput = false;
-  public int numRuns = 1;
-  public String answerFile = null;
-  public String altAnswerFile = null;
-  public String dropGaz;
-  public String printGazFeatures = null;
-  public int numStartLayers = 1;
-  public boolean dump = false;
-  public boolean mergeTags; // whether to merge B- and I- tags
-  public boolean splitOnHead;
-
-  // threshold
-  public int featureCountThreshold = 0;
-  public double featureWeightThreshold = 0.0;
-
-  // feature factory
-  public String featureFactory = "edu.stanford.nlp.ie.NERFeatureFactory";
-
-  public String backgroundSymbol = DEFAULT_BACKGROUND_SYMBOL;
-  //use
-  public boolean useObservedSequencesOnly = false;
-
-  public int maxDocSize = 0;
-  public boolean printProbs = false;
-  public boolean printFirstOrderProbs = false;
-
-  public boolean saveFeatureIndexToDisk = false;
-  public boolean removeBackgroundSingletonFeatures = false;
-  public boolean doGibbs = false;
-  public int numSamples = 100;
-  public boolean useNERPrior = false;
-  public boolean useAcqPrior = false;
-  /** If true and doGibbs also true, will do generic Gibbs inference without any priors */
-  public boolean useUniformPrior = false;
-  public boolean useMUCFeatures = false;
-  public double annealingRate = 0.0;
-  public String annealingType = null;
-  public String loadProcessedData = null;
-
-  public boolean initViterbi = true;
-
-  public boolean useUnknown = false;
-
-  public boolean checkNameList = false;
-
-  public boolean useSemPrior = false;
-  public boolean useFirstWord = false;
-
-  public boolean useNumberFeature = false;
-
-  public int ocrFold = 0;
-  public transient boolean ocrTrain = false;
-
-  public String classifierType = "MaxEnt";
-  public String svmModelFile = null;
-
-  public String inferenceType = "Viterbi";
-
-  public boolean useLemmaAsWord = false;
-
-  public String type = "cmm";
-
-  public String readerAndWriter = "edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter";
-
-  public List<String> comboProps = new ArrayList<String>();
-
-  public boolean usePrediction = false;
-
-  public boolean useAltGazFeatures = false;
-
-  public String gazFilesFile = null;
-
-  public boolean usePrediction2 = false;
-  public String baseTrainDir = ".";
-  public String baseTestDir = ".";
-  public String trainFiles = null;
-  public String trainFileList = null;
-  public String testFiles = null;
-  public String trainDirs = null; // cdm 2009: this is currently unsupported, but one user wanted something like this....
-  public String testDirs = null;
-
-  public boolean useOnlySeenWeights = false;
-
-  public String predProp = null;
-
-  public CoreLabel pad = new CoreLabel();
-
-  public boolean useObservedFeaturesOnly = false;
-
-  public String distSimLexicon = null;
-  public boolean useDistSim = false;
-
-  public int removeTopN = 0;
-  public int numTimesRemoveTopN = 1;
-  public double randomizedRatio = 1.0;
-
-  public double removeTopNPercent = 0.0;
-  public int purgeFeatures = -1;
-
-  public boolean booleanFeatures = false;
-
-  public boolean iobWrapper = false;
-  public boolean iobTags = false;
-  public boolean useSegmentation = false; /* binary segmentation feature for character-based Chinese NER */
-
-  public boolean memoryThrift = false;
-  public boolean timitDatum = false;
-
-
-  public String serializeDatasetsDir = null;
-  public String loadDatasetsDir = null;
-  public String pushDir = null;
-  public boolean purgeDatasets = false;
-  public boolean keepOBInMemory = true;
-  public boolean fakeDataset = false;
-  public boolean restrictTransitionsTimit = false;
-  public int numDatasetsPerFile = 1;
-  public boolean useTitle = false;
-
-  // these are for the old stuff
-  public boolean lowerNewgeneThreshold = false;
-  public boolean useEitherSideWord = false;
-  public boolean useEitherSideDisjunctive = false;
-  public boolean twoStage = false;
-  public String crfType = "MaxEnt";
-  public int featureThreshold = 1;
-  public String featThreshFile = null;
-  public double featureDiffThresh = 0.0;
-  public int numTimesPruneFeatures = 0;
-  public double newgeneThreshold = 0.0;
-  public boolean doAdaptation = false;
-  public boolean useInternal = true;
-  public boolean useExternal = true;
-  public double selfTrainConfidenceThreshold = 0.9;
-  public int selfTrainIterations = 1;
-  public int selfTrainWindowSize = 1; //Unigram
-  public boolean useHuber = false;
-  public boolean useQuartic = false;
-  public double adaptSigma = 1.0;
-  public int numFolds = 1;
-  public int startFold = 1;
-  public int endFold = 1;
-
-  public boolean cacheNGrams = false;
-
-  public String outputFormat;
-
-  public boolean useSMD = false;
-  public boolean useSGDtoQN = false;
-  public boolean useStochasticQN = false;
-  public boolean useScaledSGD = false;
-  public int scaledSGDMethod = 0;
-  public int SGDPasses = -1;
-  public int QNPasses = -1;
-  public boolean tuneSGD = false;
-  public StochasticCalculateMethods stochasticMethod = StochasticCalculateMethods.NoneSpecified ;
-  public double initialGain = 0.1;
-  public int stochasticBatchSize = 15;
-  public boolean useSGD = false;
-  public double gainSGD = 0.1;
-  public boolean useHybrid = false;
-  public int hybridCutoffIteration = 0;
-  public boolean outputIterationsToFile = false;
-  public boolean testObjFunction = false;
-  public boolean testVariance = false;
-  public int SGD2QNhessSamples = 50;
-  public boolean testHessSamples = false;
-  public int CRForder = 1;
-  public int CRFwindow = 2;
-  public boolean estimateInitial = false;
-
-  public transient String biasedTrainFile = null;
-  public transient String confusionMatrix = null;
-
-  public String outputEncoding = null;
-
-  public boolean useKBest = false;
-  public String searchGraphPrefix = null;
-  public double searchGraphPrune = Double.POSITIVE_INFINITY;
-  public int kBest = 1;
-
-  // more chinese segmenter features for GALE 2007
-  public boolean useFeaturesC4gram;
-  public boolean useFeaturesC5gram;
-  public boolean useFeaturesC6gram;
-  public boolean useFeaturesCpC4gram;
-  public boolean useFeaturesCpC5gram;
-  public boolean useFeaturesCpC6gram;
-  public boolean useUnicodeType;
-  public boolean useUnicodeType4gram;
-  public boolean useUnicodeType5gram;
-  public boolean use4Clique;
-  public boolean useUnicodeBlock;
-  public boolean useShapeStrings1;
-  public boolean useShapeStrings3;
-  public boolean useShapeStrings4;
-  public boolean useShapeStrings5;
-  public boolean useGoodForNamesCpC;
-  public boolean useDictionaryConjunctions;
-  public boolean expandMidDot;
-
-  public int printFeaturesUpto; // = 0;
-
-  public boolean useDictionaryConjunctions3;
-  public boolean useWordUTypeConjunctions2;
-  public boolean useWordUTypeConjunctions3;
-  public boolean useWordShapeConjunctions2;
-  public boolean useWordShapeConjunctions3;
-  public boolean useMidDotShape;
-  public boolean augmentedDateChars;
-  public boolean suppressMidDotPostprocessing;
-
-  public boolean printNR; // a flag for WordAndTagDocumentReaderAndWriter
-
-  public String classBias = null;
-
-  public boolean printLabelValue;  // Old printErrorStuff
-
-  public boolean useRobustQN = false;
-  public boolean combo = false;
-
-  public boolean useGenericFeatures = false;
-
-  public boolean verboseForTrueCasing = false;
-
-  public String trainHierarchical = null;
-  public String domain = null;
-  public boolean baseline = false;
-  public String transferSigmas = null;
-  public boolean doFE = false;
-  public boolean restrictLabels = true;
-
-  public boolean announceObjectBankEntries = false; // whether to print a line giving each ObjectBank entry (usually a filename)
-
-  //Arabic Subject Detector flags
-  public boolean usePos = false;
-  public boolean useAgreement = false;
-  public boolean useAccCase = false;
-  public boolean useInna = false;
-  public boolean useConcord = false;
-  public boolean useFirstNgram = false;
-  public boolean useLastNgram = false;
-  public boolean collapseNN = false;
-  public boolean useConjBreak = false;
-  public boolean useAuxPairs = false;
-  public boolean usePPVBPairs = false;
-  public boolean useAnnexing = false;
-  public boolean useTemporalNN = false;
-  public boolean usePath = false;
-  public boolean innaPPAttach = false;
-  public boolean markProperNN = false;
-  public boolean markMasdar = false;
-  public boolean useSVO = false;
-
-  public int numTags = 3;
-  public boolean useTagsCpC = false;
-  public boolean useTagsCpCp2C = false;
-  public boolean useTagsCpCp2Cp3C = false;
-  public boolean useTagsCpCp2Cp3Cp4C = false;
-
-  public double l1reg = 0.0;
-
-  // truecaser flags:
-  public String mixedCaseMapFile = "";
-  public String auxTrueCaseModels = "";
-
-
-  // more flags inspired by Zhang and Johnson 2003
-  public boolean use2W = false;
-  public boolean useLC = false;
-  public boolean useYetMoreCpCShapes = false;
-
-  //added for the NFL domain
-  public boolean useIfInteger = false;
-
-  public String exportFeatures = null;
-  public boolean useInPlaceSGD = false;
-  public boolean useTopics = false;
-
-  // Number of iterations before evaluating weights (0 = don't evaluate)
-  public int evaluateIters = 0;
-  // Command to use for evaluation
-  public String evalCmd = "";
-  // Evaluate on training set or not
-  public boolean evaluateTrain = false;
-  public int tuneSampleSize = -1;
-
-  public boolean usePhraseFeatures = false;
-  public boolean usePhraseWords = false;
-  public boolean usePhraseWordTags = false;
-  public boolean usePhraseWordSpecialTags = false;
-  public boolean useProtoFeatures = false;
-  public boolean useWordnetFeatures = false;
-  public String tokenFactory = "edu.stanford.nlp.process.CoreLabelTokenFactory";
-  public String tokensAnnotationClassName = "edu.stanford.nlp.ling.CoreAnnotations$TokensAnnotation";
-  public boolean useCorefFeatures = false;
-  public String wikiFeatureDbFile = null;
-
-  /** Whether to (not) lowercase tokens before looking them up in distsim lexicon.
-   *  By default lowercasing was done, but now it doesn't have to be true :-).
-   */
-  public boolean casedDistSim = false;
-
-  /** The format of the distsim file.  Known values are:
-   *  alexClark = TSV file.  word  TAB  clusterNumber [optional other content]
-   *  terryKoo = TSV file.  clusterBitString  TAB  word  TAB  frequency
-   */
-  public String distSimFileFormat = "alexClark";
-
-  /** If this number is greater than 0, the distSim class is assume to be a bit string and is
-   *  truncated at this many characters.  Normal distSim features will then use this amount of
-   *  resolution.  Extra, special distsim features may work at a coarser level of resolution.
-   *  Since the lexicon only stores this length of bit string, there is then no way to have
-   *  finer-grained clusters.
-   */
-  public int distSimMaxBits = 8;
-
-  /** If this is set to true, all digit characters get mapped to '9' in a
-   *  distsim lexicon and for lookup.  This is a simple word shaping that
-   *  can shrink distsim lexicons and improve their performance.
-   */
-  public boolean numberEquivalenceDistSim = false;
-
-  /** What class to assign to words not found in the dist sim lexicon.
-   *  You might want to make it a known class, if one is the "default class.
-   */
-  public String unknownWordDistSimClass = "null";
-
-
-  // "ADD VARIABLES ABOVE HERE"
-
-
-  public transient List<String> phraseGazettes = null;
-  public transient Properties props = null;
-
-  public SeqClassifierFlags() {
-  }
-
-  /** Create a new SeqClassifierFlags object and initialize it
-   *  using values in the Properties object.
-   *  The properties are printed to stderr as it works.
-   *
-   *  @param props The properties object used for initialization
-   */
-  public SeqClassifierFlags(Properties props) {
-    setProperties(props, true);
-  }
-
-  /**
-   * Initialize this object using values in Properties object.
-   * The properties are printed to stderr as it works.
-   *
-   * @param props The properties object used for initialization
-   */
-  public final void setProperties(Properties props) {
-    setProperties(props, true);
-  }
-  /**
-   * Initialize using values in Properties file.
-   *
-   * @param props The properties object used for initialization
-   * @param printProps Whether to print the properties to stderr as it works.
-   */
-  public void setProperties(Properties props, boolean printProps) {
-    this.props = props;
-    StringBuilder sb = new StringBuilder(stringRep);
-    for (Enumeration e = props.propertyNames(); e.hasMoreElements(); ) {
-      String key = (String) e.nextElement();
-      String val = props.getProperty(key);
-      if (! (key.length() == 0 && val.length() == 0)) {
-        if (printProps) {
-          System.err.println(key+ '=' +val);
-        }
-        sb.append(key).append('=').append(val).append('\n');
-      }
-      if (key.equalsIgnoreCase("macro")) {
-        if (Boolean.parseBoolean(val)) {
-          useObservedSequencesOnly = true;
-          readerAndWriter = "edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter";
-          // useClassFeature = true;
-          // submit
-          useLongSequences = true;
-          useTaggySequences = true;
-          useNGrams = true;
-          usePrev = true;
-          useNext = true;
-          useTags = true;
-          useWordPairs = true;
-          useSequences = true;
-          usePrevSequences = true;
-          // noMidNGrams
-          noMidNGrams = true;
-          // reverse
-          useReverse = true;
-          // typeseqs3
-          useTypeSeqs = true;
-          useTypeSeqs2 = true;
-          useTypeySequences = true;
-          // wordtypes2 && known
-          wordShape = WordShapeClassifier.WORDSHAPEDAN2USELC;
-          // occurrence
-          useOccurrencePatterns = true;
-          // realword
-          useLastRealWord = true;
-          useNextRealWord = true;
-          // smooth
-          sigma = 3.0;
-          // normalize
-          normalize = true;
-          normalizeTimex = true;
-        }
-      } else if (key.equalsIgnoreCase("goodCoNLL")) {
-        if (Boolean.parseBoolean(val)) {
-          // featureFactory = "edu.stanford.nlp.ie.NERFeatureFactory";
-          readerAndWriter = "edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter";
-          useObservedSequencesOnly = true;
-          // useClassFeature = true;
-          useLongSequences = true;
-          useTaggySequences = true;
-          useNGrams = true;
-          usePrev = true;
-          useNext = true;
-          useTags = true;
-          useWordPairs = true;
-          useSequences = true;
-          usePrevSequences = true;
-          // noMidNGrams
-          noMidNGrams = true;
-          // should this be set?? maxNGramLeng = 6;  No (to get best score).
-          // reverse
-          useReverse = false;
-          // typeseqs3
-          useTypeSeqs = true;
-          useTypeSeqs2 = true;
-          useTypeySequences = true;
-          // wordtypes2 && known
-          wordShape = WordShapeClassifier.WORDSHAPEDAN2USELC;
-          // occurrence
-          useOccurrencePatterns = true;
-          // realword
-          useLastRealWord = true;
-          useNextRealWord = true;
-          // smooth
-          sigma = 50.0; // increased Aug 2006 from 20; helpful with less feats
-          // normalize
-          normalize = true;
-          normalizeTimex = true;
-          maxLeft = 2;
-          useDisjunctive = true;
-          disjunctionWidth = 4;  // clearly optimal for CoNLL
-          useBoundarySequences = true;
-          useLemmas = true;  // no-op except for German
-          usePrevNextLemmas = true;  // no-op except for German
-          inputEncoding="iso-8859-1"; // needed for CoNLL German files
-          // opt
-          useQN = true;
-          QNsize = 15;
-        }
-      } else if (key.equalsIgnoreCase("conllNoTags")) {
-        if (Boolean.parseBoolean(val)) {
-          readerAndWriter = "edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter";
-          //          trainMap=testMap="word=0,answer=1";
-          map="word=0,answer=1";
-          useObservedSequencesOnly = true;
-          // useClassFeature = true;
-          useLongSequences = true;
-          //useTaggySequences = true;
-          useNGrams = true;
-          usePrev = true;
-          useNext = true;
-          //useTags = true;
-          useWordPairs = true;
-          useSequences = true;
-          usePrevSequences = true;
-          // noMidNGrams
-          noMidNGrams = true;
-          // reverse
-          useReverse = false;
-          // typeseqs3
-          useTypeSeqs = true;
-          useTypeSeqs2 = true;
-          useTypeySequences = true;
-          // wordtypes2 && known
-          wordShape = WordShapeClassifier.WORDSHAPEDAN2USELC;
-          // occurrence
-          //useOccurrencePatterns = true;
-          // realword
-          useLastRealWord = true;
-          useNextRealWord = true;
-          // smooth
-          sigma = 20.0;
-          adaptSigma = 20.0;
-          // normalize
-          normalize = true;
-          normalizeTimex = true;
-          maxLeft = 2;
-          useDisjunctive = true;
-          disjunctionWidth = 4;
-          useBoundarySequences = true;
-          //useLemmas = true;  // no-op except for German
-          //usePrevNextLemmas = true;  // no-op except for German
-          inputEncoding="iso-8859-1";
-          // opt
-          useQN = true;
-          QNsize = 15;
-        }
-      } else if (key.equalsIgnoreCase("notags")) {
-        if (Boolean.parseBoolean(val)) {
-          // turn off all features that use POS tags
-          // this is slightly crude: it also turns off a few things that
-          // don't use tags in e.g., useTaggySequences
-          useTags = false;
-          useSymTags = false;
-          useTaggySequences = false;
-          useOccurrencePatterns = false;
-        }
-      } else if (key.equalsIgnoreCase("submit")) {
-        if (Boolean.parseBoolean(val)) {
-          useLongSequences = true;
-          useTaggySequences = true;
-          useNGrams = true;
-          usePrev = true;
-          useNext = true;
-          useTags = true;
-          useWordPairs = true;
-          wordShape = WordShapeClassifier.WORDSHAPEDAN1;
-          useSequences = true;
-          usePrevSequences = true;
-        }
-      } else if (key.equalsIgnoreCase("binnedLengths")) {
-        if (val != null) {
-          String[] binnedLengthStrs = val.split("[, ]+");
-          binnedLengths = new int[binnedLengthStrs.length];
-          for (int i = 0; i < binnedLengths.length; i++) {
-            binnedLengths[i] = Integer.parseInt(binnedLengthStrs[i]);
-          }
-        }
-      } else if (key.equalsIgnoreCase("makeConsistent")) {
-        makeConsistent = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("dump")) {
-        dump = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNGrams")) {
-        useNGrams = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("conjoinShapeNGrams")) {
-        conjoinShapeNGrams = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("lowercaseNGrams")) {
-        lowercaseNGrams = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useIsURL")) {
-        useIsURL = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useURLSequences")) {
-        useURLSequences = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useEntityTypes")) {
-        useEntityTypes = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useEntityRule")){
-        useEntityRule = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useOrdinal")){
-        useOrdinal = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useEntityTypeSequences")) {
-        useEntityTypeSequences = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useIsDateRange")) {
-        useIsDateRange = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("dehyphenateNGrams")) {
-        dehyphenateNGrams = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("lowerNewgeneThreshold")) {
-        lowerNewgeneThreshold = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usePrev")) {
-        usePrev = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNext")) {
-        useNext = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTags")) {
-        useTags = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useWordPairs")) {
-        useWordPairs = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useGazettes")) {
-        useGazettes = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("wordShape")) {
-        wordShape = WordShapeClassifier.lookupShaper(val);
-      } else if (key.equalsIgnoreCase("useShapeStrings")) {
-        useShapeStrings = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useGoodForNamesCpC")) {
-        useGoodForNamesCpC = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useDictionaryConjunctions")) {
-        useDictionaryConjunctions = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useDictionaryConjunctions3")) {
-        useDictionaryConjunctions3 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("expandMidDot")) {
-        expandMidDot = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useSequences")) {
-        useSequences = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usePrevSequences")) {
-        usePrevSequences = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNextSequences")) {
-        useNextSequences = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useLongSequences")) {
-        useLongSequences = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useBoundarySequences")) {
-        useBoundarySequences = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTaggySequences")) {
-        useTaggySequences = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useExtraTaggySequences")) {
-        useExtraTaggySequences = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTaggySequencesShapeInteraction")) {
-        useTaggySequencesShapeInteraction = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("strictlyZeroethOrder")) {
-        strictlyZeroethOrder = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("strictlyFirstOrder")) {
-        strictlyFirstOrder = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("strictlySecondOrder")) {
-        strictlySecondOrder = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("strictlyThirdOrder")) {
-        strictlyThirdOrder = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("dontExtendTaggy")) {
-        dontExtendTaggy = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("entitySubclassification")) {
-        entitySubclassification = val;
-      } else if (key.equalsIgnoreCase("useGazettePhrases")) {
-        useGazettePhrases = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("phraseGazettes")) {
-        StringTokenizer st = new StringTokenizer(val, " ,;\t");
-        if (phraseGazettes == null) { phraseGazettes = new ArrayList<String>(); }
-        while (st.hasMoreTokens()) {
-          phraseGazettes.add(st.nextToken());
-        }
-      } else if (key.equalsIgnoreCase("useSum")) {
-        useSum = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("verboseMode")) {
-        verboseMode = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("tolerance")) {
-        tolerance = Double.parseDouble(val);
-      } else if (key.equalsIgnoreCase("maxIterations")) {
-        maxIterations = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("exportFeatures")) {
-        exportFeatures = val;
-      } else if (key.equalsIgnoreCase("printFeatures")) {
-        printFeatures = val;
-      } else if (key.equalsIgnoreCase("printFeaturesUpto")) {
-        printFeaturesUpto = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("lastNameList")) {
-        lastNameList = val;
-      } else if (key.equalsIgnoreCase("maleNameList")) {
-        maleNameList = val;
-      } else if (key.equalsIgnoreCase("femaleNameList")) {
-        femaleNameList = val;
-      } else if (key.equalsIgnoreCase("useSymTags")) {
-        useSymTags = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useSymWordPairs")) {
-        useSymWordPairs = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("printClassifier")) {
-        printClassifier = val;
-      } else if (key.equalsIgnoreCase("printClassifierParam")) {
-        printClassifierParam = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("intern")) {
-        intern = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("mergetags")) {
-        mergeTags = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("iobtags")) {
-        iobTags = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useViterbi")) {
-        useViterbi = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("intern2")) {
-        intern2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("selfTest")) {
-        selfTest = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("sloppyGazette")) {
-        sloppyGazette = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("cleanGazette")) {
-        cleanGazette = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("noMidNGrams")) {
-        noMidNGrams = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useReverse")) {
-        useReverse = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("retainEntitySubclassification")) {
-        retainEntitySubclassification = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useLemmas")) {
-        useLemmas = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usePrevNextLemmas")) {
-        usePrevNextLemmas = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("normalizeTerms")) {
-        normalizeTerms = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("normalizeTimex")) {
-        normalizeTimex = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNB")) {
-        useNB = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useParenMatching")) {
-        useParenMatching = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTypeSeqs")) {
-        useTypeSeqs = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTypeSeqs2")) {
-        useTypeSeqs2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTypeSeqs3")) {
-        useTypeSeqs3 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useDisjunctive")) {
-        useDisjunctive = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("disjunctionWidth")) {
-        disjunctionWidth = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("useDisjunctiveShapeInteraction")) {
-        useDisjunctiveShapeInteraction = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useWideDisjunctive")) {
-        useWideDisjunctive = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("wideDisjunctionWidth")) {
-        wideDisjunctionWidth = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("useDisjShape")) {
-        useDisjShape = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTitle")) {
-        useTitle = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("booleanFeatures")) {
-        booleanFeatures = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useClassFeature")) {
-        useClassFeature = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useShapeConjunctions")) {
-        useShapeConjunctions = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useWordTag")) {
-        useWordTag = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNPHead")) {
-        useNPHead = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNPGovernor")) {
-        useNPGovernor = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useHeadGov")) {
-        useHeadGov = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useLastRealWord")) {
-        useLastRealWord = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNextRealWord")) {
-        useNextRealWord = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useOccurrencePatterns")) {
-        useOccurrencePatterns = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTypeySequences")) {
-        useTypeySequences = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("justify")) {
-        justify = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("normalize")) {
-        normalize = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("priorType")) {
-        priorType = val;
-      } else if (key.equalsIgnoreCase("sigma")) {
-        sigma = Double.parseDouble(val);
-      } else if (key.equalsIgnoreCase("epsilon")) {
-        epsilon = Double.parseDouble(val);
-      } else if (key.equalsIgnoreCase("beamSize")) {
-        beamSize = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("removeTopN")) {
-        removeTopN = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("removeTopNPercent")) {
-        removeTopNPercent = Double.parseDouble(val);
-      } else if (key.equalsIgnoreCase("randomizedRatio")) {
-        randomizedRatio = Double.parseDouble(val);
-      } else if (key.equalsIgnoreCase("numTimesRemoveTopN")) {
-        numTimesRemoveTopN = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("maxLeft")) {
-        maxLeft = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("maxRight")) {
-        maxRight = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("maxNGramLeng")) {
-        maxNGramLeng = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("useGazFeatures")) {
-        useGazFeatures = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAltGazFeatures")) {
-        useAltGazFeatures = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useMoreGazFeatures")) {
-        useMoreGazFeatures = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAbbr")) {
-        useAbbr = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useMinimalAbbr")) {
-        useMinimalAbbr = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAbbr1")) {
-        useAbbr1 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useMinimalAbbr1")) {
-        useMinimalAbbr1 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("documentReader")) {
-        System.err.println("You are using an outdated flag: -documentReader "+val);
-        System.err.println("Please use -readerAndWriter instead.");
-      } else if (key.equalsIgnoreCase("deleteBlankLines")) {
-        deleteBlankLines = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("answerFile")) {
-        answerFile = val;
-      } else if (key.equalsIgnoreCase("altAnswerFile")) {
-        altAnswerFile = val;
-      } else if (key.equalsIgnoreCase("loadClassifier")) {
-        loadClassifier = val;
-      } else if (key.equalsIgnoreCase("loadTextClassifier")) {
-        loadTextClassifier = val;
-      } else if (key.equalsIgnoreCase("loadJarClassifier")) {
-        loadJarClassifier = val;
-      } else if (key.equalsIgnoreCase("loadAuxClassifier")) {
-        loadAuxClassifier=val;
-      } else if (key.equalsIgnoreCase("serializeTo")) {
-        serializeTo = val;
-      } else if (key.equalsIgnoreCase("serializeToText")) {
-        serializeToText = val;
-      } else if (key.equalsIgnoreCase("serializeDatasetsDir")) {
-        serializeDatasetsDir = val;
-      } else if (key.equalsIgnoreCase("loadDatasetsDir")) {
-        loadDatasetsDir = val;
-      } else if (key.equalsIgnoreCase("pushDir")) {
-        pushDir = val;
-      } else if (key.equalsIgnoreCase("purgeDatasets")) {
-        purgeDatasets = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("keepOBInMemory")) {
-        keepOBInMemory = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("fakeDataset")) {
-        fakeDataset = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("numDatasetsPerFile")) {
-        numDatasetsPerFile = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("trainFile")) {
-        trainFile = val;
-      } else if (key.equalsIgnoreCase("biasedTrainFile")) {
-        biasedTrainFile = val;
-      } else if (key.equalsIgnoreCase("classBias")) {
-       	classBias = val;
-      } else if (key.equalsIgnoreCase("confusionMatrix")) {
-        confusionMatrix = val;
-      } else if (key.equalsIgnoreCase("adaptFile")) {
-        adaptFile = val;
-      } else if (key.equalsIgnoreCase("devFile")) {
-        devFile = val;
-      } else if (key.equalsIgnoreCase("testFile")) {
-        testFile = val;
-      } else if (key.equalsIgnoreCase("outputFile")) {
-        outputFile = val;
-      } else if (key.equalsIgnoreCase("textFile")) {
-        textFile = val;
-      } else if (key.equalsIgnoreCase("initialWeights")) {
-        initialWeights = val;
-      } else if (key.equalsIgnoreCase("interimOutputFreq")) {
-        interimOutputFreq = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("inputEncoding")) {
-        inputEncoding = val;
-      } else if (key.equalsIgnoreCase("outputEncoding")) {
-        outputEncoding = val;
-      } else if (key.equalsIgnoreCase("gazette")) {
-        useGazettes = true;
-        StringTokenizer st = new StringTokenizer(val, " ,;\t");
-        if (gazettes == null) { gazettes = new ArrayList<String>(); } // for after deserialization, as gazettes is transient
-        while (st.hasMoreTokens()) {
-          gazettes.add(st.nextToken());
-        }
-      } else if (key.equalsIgnoreCase("useQN")) {
-        useQN = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("QNsize")) {
-        QNsize = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("QNsize2")) {
-        QNsize2 = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("l1reg")) {
-        useQN = false;
-        l1reg = Double.parseDouble(val);
-      } else if (key.equalsIgnoreCase("useFloat")) {
-        useFloat = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("trainMap")) {
-        System.err.println("trainMap and testMap are no longer valid options - please use map instead.");
-        throw new RuntimeException();
-      } else if (key.equalsIgnoreCase("testMap")) {
-        System.err.println("trainMap and testMap are no longer valid options - please use map instead.");
-        throw new RuntimeException();
-      } else if (key.equalsIgnoreCase("map")) {
-        map = val;
-      } else if (key.equalsIgnoreCase("useMoreAbbr")) {
-        useMoreAbbr = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usePrevVB")) {
-        usePrevVB = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNextVB")) {
-        useNextVB = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useVB")) {
-        if (Boolean.parseBoolean(val)) {
-          useVB = true;
-          usePrevVB = true;
-          useNextVB = true;
-        }
-      } else if (key.equalsIgnoreCase("useChunks")) {
-        useChunks = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useChunkySequences")) {
-        useChunkySequences = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("greekifyNGrams")) {
-        greekifyNGrams = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("restrictTransitionsTimit")) {
-        restrictTransitionsTimit = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useMoreTags")) {
-        useMoreTags = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useBeginSent")) {
-        useBeginSent = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usePosition")) {
-        usePosition = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useGenia")) {
-        useGENIA = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAbstr")) {
-        useABSTR = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useWeb")) {
-        useWEB = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAnte")) {
-        useANTE = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAcr")) {
-        useACR = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTok")) {
-        useTOK = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAbgene")) {
-        useABGENE = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAbstrFreqDict")) {
-        useABSTRFreqDict = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAbstrFreq")) {
-        useABSTRFreq = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useFreq")) {
-        useFREQ = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usewebfreqdict")) {
-        useWEBFreqDict = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("bioSubmitOutput")) {
-        bioSubmitOutput = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("subCWGaz")) {
-        subCWGaz = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("splitOnHead")) {
-        splitOnHead = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("featureCountThreshold")) {
-        featureCountThreshold = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("useWord")) {
-        useWord = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("memoryThrift")) {
-        memoryThrift = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("timitDatum")) {
-        timitDatum = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("splitDocuments")) {
-        splitDocuments = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("featureWeightThreshold")) {
-        featureWeightThreshold = Double.parseDouble(val);
-      } else if (key.equalsIgnoreCase("backgroundSymbol")) {
-        backgroundSymbol = val;
-      } else if (key.equalsIgnoreCase("featureFactory")) {
-        featureFactory = val;
-        if (featureFactory.equalsIgnoreCase("SuperSimpleFeatureFactory")) {
-          featureFactory = "edu.stanford.nlp.sequences.SuperSimpleFeatureFactory";
-        } else if (featureFactory.equalsIgnoreCase("NERFeatureFactory")) {
-          featureFactory = "edu.stanford.nlp.ie.NERFeatureFactory";
-        } else if (featureFactory.equalsIgnoreCase("GazNERFeatureFactory")) {
-          featureFactory = "edu.stanford.nlp.sequences.GazNERFeatureFactory";
-        } else if (featureFactory.equalsIgnoreCase("IncludeAllFeatureFactory")) {
-          featureFactory = "edu.stanford.nlp.sequences.IncludeAllFeatureFactory";
-        }
-
-      } else if (key.equalsIgnoreCase("printXML")) {
-        printXML = Boolean.parseBoolean(val);  // todo: This appears unused now. Was it replaced by outputFormat?
-
-      } else if (key.equalsIgnoreCase("useSeenFeaturesOnly")) {
-        useSeenFeaturesOnly = Boolean.parseBoolean(val);
-
-        // chinese word-segmenter features
-      } else if (key.equalsIgnoreCase("useRadical")) {
-        useRadical = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useBigramInTwoClique")) {
-        useBigramInTwoClique = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useReverseAffix")) {
-        useReverseAffix = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("charHalfWindow")) {
-        charHalfWindow = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("purgeFeatures")) {
-        purgeFeatures = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("ocrFold")) {
-        ocrFold = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("morphFeatureFile")) {
-        morphFeatureFile = val;
-      } else if (key.equalsIgnoreCase("svmModelFile")) {
-        svmModelFile = val;
-        /*Dictionary*/
-      } else if (key.equalsIgnoreCase("useDictleng")) {
-        useDictleng = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useDict2")) {
-        useDict2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useOutDict2")) {
-        useOutDict2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("outDict2")) {
-        outDict2 = val;
-      } else if (key.equalsIgnoreCase("useDictCTB2")) {
-        useDictCTB2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useDictASBC2")) {
-        useDictASBC2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useDictPK2")) {
-        useDictPK2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useDictHK2")) {
-        useDictHK2 = Boolean.parseBoolean(val);
-        /*N-gram flags*/
-      } else if (key.equalsIgnoreCase("useWord1")) {
-        useWord1 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useWord2")) {
-        useWord2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useWord3")) {
-        useWord3 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useWord4")) {
-        useWord4 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useRad1")) {
-        useRad1 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useRad2")) {
-        useRad2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useRad2b")) {
-        useRad2b = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useWordn")) {
-        useWordn = Boolean.parseBoolean(val);
-        /*affix flags*/
-      } else if (key.equalsIgnoreCase("useCTBPre1")) {
-        useCTBPre1 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useCTBSuf1")) {
-        useCTBSuf1 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useASBCPre1")) {
-        useASBCPre1 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useASBCSuf1")) {
-        useASBCSuf1 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useHKPre1")) {
-        useHKPre1 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useHKSuf1")) {
-        useHKSuf1 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usePKPre1")) {
-        usePKPre1 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usePKSuf1")) {
-        usePKSuf1 = Boolean.parseBoolean(val);
-        /*POS flags*/
-      } else if (key.equalsIgnoreCase("useCTBChar2")) {
-        useCTBChar2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usePrediction")) {
-        usePrediction = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useASBCChar2")) {
-        useASBCChar2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useHKChar2")) {
-        useHKChar2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usePKChar2")) {
-        usePKChar2 = Boolean.parseBoolean(val);
-        /* Rule flag */
-      } else if (key.equalsIgnoreCase("useRule2")) {
-        useRule2 = Boolean.parseBoolean(val);
-        /*ASBC and HK */
-      } else if (key.equalsIgnoreCase("useBig5")) {
-        useBig5 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegDict2")) {
-        useNegDict2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegDict3")) {
-        useNegDict3 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegDict4")) {
-        useNegDict4 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegCTBDict2")) {
-        useNegCTBDict2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegCTBDict3")) {
-        useNegCTBDict3 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegCTBDict4")) {
-        useNegCTBDict4 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegASBCDict2")) {
-        useNegASBCDict2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegASBCDict3")) {
-        useNegASBCDict3 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegASBCDict4")) {
-        useNegASBCDict4 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegPKDict2")) {
-        useNegPKDict2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegPKDict3")) {
-        useNegPKDict3 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegPKDict4")) {
-        useNegPKDict4 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegHKDict2")) {
-        useNegHKDict2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegHKDict3")) {
-        useNegHKDict3 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNegHKDict4")) {
-        useNegHKDict4 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usePre")) {
-        usePre = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useSuf")) {
-        useSuf = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useRule")) {
-        useRule = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAs")) {
-        useAs = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usePk")) {
-        usePk = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useHk")) {
-        useHk = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useMsr")) {
-        useMsr = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useMSRChar2")) {
-        useMSRChar2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useFeaturesC4gram")) {
-        useFeaturesC4gram = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useFeaturesC5gram")) {
-        useFeaturesC5gram = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useFeaturesC6gram")) {
-        useFeaturesC6gram = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useFeaturesCpC4gram")) {
-        useFeaturesCpC4gram = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useFeaturesCpC5gram")) {
-        useFeaturesCpC5gram = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useFeaturesCpC6gram")) {
-        useFeaturesCpC6gram = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useUnicodeType")) {
-        useUnicodeType = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useUnicodeBlock")) {
-        useUnicodeBlock = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useUnicodeType4gram")) {
-        useUnicodeType4gram = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useUnicodeType5gram")) {
-        useUnicodeType5gram = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useShapeStrings1")) {
-        useShapeStrings1 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useShapeStrings3")) {
-        useShapeStrings3 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useShapeStrings4")) {
-        useShapeStrings4 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useShapeStrings5")) {
-        useShapeStrings5 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useWordUTypeConjunctions2")) {
-        useWordUTypeConjunctions2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useWordUTypeConjunctions3")) {
-        useWordUTypeConjunctions3 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useWordShapeConjunctions2")) {
-        useWordShapeConjunctions2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useWordShapeConjunctions3")) {
-        useWordShapeConjunctions3 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useMidDotShape")) {
-        useMidDotShape = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("augmentedDateChars")) {
-        augmentedDateChars = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("suppressMidDotPostprocessing")) {
-        suppressMidDotPostprocessing = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("printNR")) {
-        printNR = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("use4Clique")) {
-        use4Clique = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useFilter")) {
-        useFilter = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("largeChSegFile")) {
-        largeChSegFile = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("keepEnglishWhitespaces")) {
-        keepEnglishWhitespaces = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("keepAllWhitespaces")) {
-        keepAllWhitespaces = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("sighanPostProcessing")) {
-        sighanPostProcessing = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useChPos")) {
-        useChPos = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("sighanCorporaDict")) {
-        sighanCorporaDict = val;
-        // end chinese word-segmenter features
-      } else if (key.equalsIgnoreCase("useObservedSequencesOnly")) {
-        useObservedSequencesOnly = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("maxDocSize")) {
-        maxDocSize = Integer.parseInt(val);
-        splitDocuments = true;
-      } else if (key.equalsIgnoreCase("printProbs")) {
-        printProbs = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("printFirstOrderProbs")) {
-        printFirstOrderProbs = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("saveFeatureIndexToDisk")) {
-        saveFeatureIndexToDisk = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("removeBackgroundSingletonFeatures")) {
-        removeBackgroundSingletonFeatures = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("doGibbs")) {
-        doGibbs = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNERPrior")) {
-        useNERPrior = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAcqPrior")) {
-        useAcqPrior = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useSemPrior")) {
-        useSemPrior = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useMUCFeatures")) {
-        useMUCFeatures = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("initViterbi")) {
-        initViterbi = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("checkNameList")) {
-        checkNameList = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useFirstWord")) {
-        useFirstWord = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useUnknown")) {
-        useUnknown = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("cacheNGrams")) {
-        cacheNGrams = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useNumberFeature")) {
-        useNumberFeature = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("annealingRate")) {
-        annealingRate = Double.parseDouble(val);
-      } else if (key.equalsIgnoreCase("annealingType")) {
-        if (val.equalsIgnoreCase("linear") || val.equalsIgnoreCase("exp") || val.equalsIgnoreCase("exponential")) {
-          annealingType = val;
-        } else {
-          System.err.println("unknown annealingType: "+val+".  Please use linear|exp|exponential");
-        }
-      } else if (key.equalsIgnoreCase("numSamples")) {
-        numSamples = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("inferenceType")) {
-        inferenceType = val;
-      } else if (key.equalsIgnoreCase("loadProcessedData")) {
-        loadProcessedData = val;
-      } else if (key.equalsIgnoreCase("normalizationTable")) {
-        normalizationTable = val;
-      } else if (key.equalsIgnoreCase("dictionary")) {
-        // don't set if empty string or spaces or true: revert it to null
-        // special case so can empty out dictionary list on command line!
-        val = val.trim();
-        if (val.length() > 0 && ! "true".equals(val) && ! "null".equals(val) && ! "false".equals("val")) {
-          dictionary = val;
-        } else {
-          dictionary = null;
-        }
-      } else if (key.equalsIgnoreCase("serDictionary")) {
-        // don't set if empty string or spaces or true: revert it to null
-        // special case so can empty out dictionary list on command line!
-        val = val.trim();
-        if (val.length() > 0 && ! "true".equals(val) && ! "null".equals(val) && ! "false".equals("val")) {
-          serializedDictionary = val;
-        } else {
-          serializedDictionary = null;
-        }
-      } else if (key.equalsIgnoreCase("dictionary2")) {
-        // don't set if empty string or spaces or true: revert it to null
-        // special case so can empty out dictionary list on command line!
-        val = val.trim();
-        if (val.length() > 0 && ! "true".equals(val) && ! "null".equals(val) && ! "false".equals("val")) {
-          dictionary2 = val;
-        } else {
-          dictionary2 = null;
-        }
-      } else if (key.equalsIgnoreCase("normTableEncoding")) {
-        normTableEncoding = val;
-      } else if (key.equalsIgnoreCase("useLemmaAsWord")) {
-        useLemmaAsWord = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("type")) {
-        type = val;
-      } else if (key.equalsIgnoreCase("readerAndWriter")) {
-        readerAndWriter = val;
-      } else if (key.equalsIgnoreCase("gazFilesFile")) {
-        gazFilesFile = val;
-      } else if (key.equalsIgnoreCase("baseTrainDir")) {
-        baseTrainDir = val;
-      } else if (key.equalsIgnoreCase("baseTestDir")) {
-        baseTestDir = val;
-      } else if (key.equalsIgnoreCase("trainFiles")) {
-        trainFiles = val;
-      } else if (key.equalsIgnoreCase("trainFileList")) {
-        trainFileList = val;
-      } else if (key.equalsIgnoreCase("trainDirs")){
-        trainDirs = val;
-      } else if (key.equalsIgnoreCase("testDirs")){
-        testDirs = val;
-      } else if (key.equalsIgnoreCase("testFiles")) {
-        testFiles = val;
-      } else if (key.equalsIgnoreCase("usePrediction2")) {
-        usePrediction2 = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useObservedFeaturesOnly")) {
-        useObservedFeaturesOnly = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("iobWrapper")) {
-        iobWrapper = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useDistSim")) {
-        useDistSim = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("casedDistSim")) {
-        casedDistSim = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("distSimFileFormat")) {
-        distSimFileFormat = val;
-      } else if (key.equalsIgnoreCase("distSimMaxBits")) {
-        distSimMaxBits = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("numberEquivalenceDistSim")) {
-        numberEquivalenceDistSim = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("unknownWordDistSimClass")) {
-        unknownWordDistSimClass = val;
-      } else if (key.equalsIgnoreCase("useOnlySeenWeights")) {
-        useOnlySeenWeights = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("predProp")) {
-        predProp = val;
-      } else if (key.equalsIgnoreCase("distSimLexicon")) {
-        distSimLexicon = val;
-      } else if (key.equalsIgnoreCase("useSegmentation")) {
-        useSegmentation = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useInternal")) {
-        useInternal = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useExternal")) {
-        useExternal = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useEitherSideWord")) {
-        useEitherSideWord = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useEitherSideDisjunctive")) {
-        useEitherSideDisjunctive = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("featureDiffThresh")) {
-        featureDiffThresh = Double.parseDouble(val);
-        if (props.getProperty("numTimesPruneFeatures") == null) {
-          numTimesPruneFeatures = 1;
-        }
-      } else if (key.equalsIgnoreCase("numTimesPruneFeatures")) {
-        numTimesPruneFeatures = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("newgeneThreshold")) {
-        newgeneThreshold = Double.parseDouble(val);
-      } else if (key.equalsIgnoreCase("adaptFile")) {
-        adaptFile = val;
-      } else if (key.equalsIgnoreCase("doAdaptation")) {
-        doAdaptation = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("selfTrainFile")) {
-        selfTrainFile = val;
-      } else if (key.equalsIgnoreCase("selfTrainIterations")) {
-        selfTrainIterations = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("selfTrainWindowSize")) {
-        selfTrainWindowSize = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("selfTrainConfidenceThreshold")) {
-        selfTrainConfidenceThreshold = Double.parseDouble(val);
-      } else if (key.equalsIgnoreCase("numFolds")) {
-        numFolds = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("startFold")) {
-        startFold = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("endFold")) {
-        endFold = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("adaptSigma")) {
-        adaptSigma = Double.parseDouble(val);
-      } else if (key.startsWith("prop") && !key.equals("prop")) {
-        comboProps.add(val);
-      } else if (key.equalsIgnoreCase("outputFormat")) {
-        outputFormat = val;
-      } else if (key.equalsIgnoreCase("useSMD")) {
-        useSMD = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useScaledSGD")){
-        useScaledSGD = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("scaledSGDMethod")){
-        scaledSGDMethod = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("tuneSGD")){
-        tuneSGD = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("StochasticCalculateMethod")) {
-        if (val.equalsIgnoreCase("AlgorithmicDifferentiation")){
-          stochasticMethod = StochasticCalculateMethods.AlgorithmicDifferentiation;
-        } else if(val.equalsIgnoreCase("IncorporatedFiniteDifference")){
-          stochasticMethod = StochasticCalculateMethods.IncorporatedFiniteDifference ;
-        } else if(val.equalsIgnoreCase("ExternalFinitedifference")){
-          stochasticMethod = StochasticCalculateMethods.ExternalFiniteDifference ;
-        }
-      } else if (key.equalsIgnoreCase("initialGain")) {
-        initialGain = Double.parseDouble(val);
-      } else if (key.equalsIgnoreCase("stochasticBatchSize")){
-        stochasticBatchSize = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("SGD2QNhessSamples")){
-        SGD2QNhessSamples = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("useSGD")) {
-        useSGD = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useInPlaceSGD")) {
-        useInPlaceSGD = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useSGDtoQN")){
-        useSGDtoQN = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("SGDPasses")){
-        SGDPasses = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("QNPasses")){
-        QNPasses = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("gainSGD")) {
-        gainSGD = Double.parseDouble(val);
-      } else if (key.equalsIgnoreCase("useHybrid")){
-        useHybrid = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("hybridCutoffIteration")){
-        hybridCutoffIteration = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("useStochasticQN")){
-        useStochasticQN = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("outputIterationsToFile")){
-        outputIterationsToFile = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("testObjFunction")){
-        testObjFunction = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("testVariance")){
-        testVariance = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("CRForder")){
-        CRForder = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("CRFwindow")){
-        CRFwindow = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("testHessSamples")){
-        testHessSamples = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("estimateInitial")){
-        estimateInitial = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("printLabelValue")){
-        printLabelValue = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("searchGraphPrefix")){
-        searchGraphPrefix = val;
-      } else if (key.equalsIgnoreCase("searchGraphPrune")){
-        searchGraphPrune = Double.parseDouble(val);
-      } else if (key.equalsIgnoreCase("kBest")){
-        useKBest = true;
-        kBest = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("useRobustQN")){
-        useRobustQN = true;
-      } else if (key.equalsIgnoreCase("combo")){
-        combo = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("verboseForTrueCasing")) {
-        verboseForTrueCasing = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("trainHierarchical")){
-        trainHierarchical = val;
-      } else if (key.equalsIgnoreCase("domain")){
-        domain = val;
-      } else if(key.equalsIgnoreCase("baseline")) {
-        baseline = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("doFE")) {
-        doFE = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("restrictLabels")) {
-        restrictLabels = Boolean.parseBoolean(val);
-      } else if(key.equalsIgnoreCase("transferSigmas")){
-        transferSigmas = val;
-      } else if (key.equalsIgnoreCase("announceObjectBankEntries")) {
-        announceObjectBankEntries = true;
-      } else if (key.equalsIgnoreCase("usePos")) {
-        usePos = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAgreement")) {
-        useAgreement = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAccCase")) {
-        useAccCase = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useInna")) {
-        useInna = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useConcord")) {
-        useConcord = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useFirstNgram")) {
-        useFirstNgram = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useLastNgram")) {
-        useLastNgram = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("collapseNN")) {
-        collapseNN = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTagsCpC")) {
-        useTagsCpC = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTagsCpCp2C")) {
-        useTagsCpCp2C = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTagsCpCp2Cp3C")) {
-        useTagsCpCp2Cp3C = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTagsCpCp2Cp3Cp4C")) {
-        useTagsCpCp2Cp3Cp4C = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("numTags")) {
-        numTags = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("useConjBreak")) {
-        useConjBreak = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAuxPairs")) {
-        useAuxPairs = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usePPVBPairs")) {
-        usePPVBPairs = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useAnnexing")) {
-        useAnnexing = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useTemporalNN")) {
-        useTemporalNN = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("markProperNN")) {
-        markProperNN = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("usePath")) {
-        usePath = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("markMasdar")) {
-        markMasdar = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("innaPPAttach")) {
-        innaPPAttach = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useSVO")) {
-        useSVO = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("mixedCaseMapFile")) {
-        mixedCaseMapFile = val;
-      } else if (key.equalsIgnoreCase("auxTrueCaseModels")) {
-        auxTrueCaseModels = val;
-      } else if (key.equalsIgnoreCase("use2W")) {
-        use2W = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useLC")) {
-        useLC = Boolean.parseBoolean(val);
-      } else if (key.equalsIgnoreCase("useYetMoreCpCShapes")) {
-        useYetMoreCpCShapes = Boolean.parseBoolean(val);
-      } else if(key.equalsIgnoreCase("useIfInteger")) {
-        useIfInteger = Boolean.parseBoolean(val);
-      } else if(key.equalsIgnoreCase("twoStage")) {
-        twoStage = Boolean.parseBoolean(val);
-      } else if(key.equalsIgnoreCase("evaluateIters")) {
-        evaluateIters = Integer.parseInt(val);
-      } else if(key.equalsIgnoreCase("evalCmd")) {
-        evalCmd = val;
-      } else if(key.equalsIgnoreCase("evaluateTrain")) {
-        evaluateTrain = Boolean.parseBoolean(val);
-      } else if(key.equalsIgnoreCase("tuneSampleSize")) {
-        tuneSampleSize = Integer.parseInt(val);
-      } else if (key.equalsIgnoreCase("useTopics")){
-        useTopics = true;
-      }else if (key.equalsIgnoreCase("usePhraseFeatures")){
-        usePhraseFeatures = true;
-      }else if(key.equalsIgnoreCase("usePhraseWords")){
-        usePhraseWords = true;
-      }else if( key.equalsIgnoreCase("usePhraseWordTags")){
-        usePhraseWordTags = true;
-      }else if( key.equalsIgnoreCase("usePhraseWordSpecialTags")){
-        usePhraseWordSpecialTags = true;
-      }else if( key.equalsIgnoreCase("useProtoFeatures")){
-        useProtoFeatures = true;
-      }else if (key.equalsIgnoreCase("useWordnetFeatures")) {
-        useWordnetFeatures = true;
-      }else if (key.equalsIgnoreCase("wikiFeatureDbFile")) {
-        wikiFeatureDbFile = val;
-      //ADD VALUE ABOVE HERE
-      } else if (key.length() > 0 && !key.equals("prop")) {
-        System.err.println("Unknown property: |" + key + '|');
-      }
-    }
-    if (startFold > numFolds) {
-      System.err.println("startFold > numFolds -> setting startFold to 1");
-      startFold = 1;
-    }
-    if (endFold > numFolds) {
-      System.err.println("endFold > numFolds -> setting to numFolds");
-      endFold = numFolds;
-    }
-
-    if (combo) {
-      splitDocuments = false;
-    }
-
-    stringRep = sb.toString();
-  } // end setProperties()
-
-
-  /** Print the properties specified by this object.
-   *  @return A String describing the properties specified by this object.
-   */
-  @Override
-  public String toString() {
-    return stringRep;
-  }
-
-} // end class SeqClassifierFlags
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SequenceGibbsSampler.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SequenceGibbsSampler.java
deleted file mode 100644
index 8ca76ed..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SequenceGibbsSampler.java
+++ /dev/null
@@ -1,299 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.util.StringUtils;
-import edu.stanford.nlp.ling.HasWord;
-
-import java.util.Random;
-import java.util.List;
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.io.PrintStream;
-
-// TODO: change so that it uses the scoresOf() method properly
-
-/**
- * A Gibbs sampler for sequence models. Given a sequence model implementing the SequenceModel
- * interface, this class is capable of
- * sampling sequences from the distribution over sequences that it defines. It can also use
- * this sampling procedure to find the best sequence.
- * @author grenager
- */
-public class SequenceGibbsSampler implements BestSequenceFinder {
-
-  // a random number generator
-  private static Random random = new Random();
-  public static int verbose = 0;
-
-  private List document;
-  private int numSamples;
-  private int sampleInterval;
-  private SequenceListener listener;
-
-  public boolean returnLastFoundSequence = false;
-
-  public static int[] copy(int[] a) {
-    int[] result = new int[a.length];
-    System.arraycopy(a, 0, result, 0, a.length);
-    return result;
-  }
-
-  public static int[] getRandomSequence(SequenceModel model) {
-    int[] result = new int[model.length()];
-    for (int i = 0; i < result.length; i++) {
-      int[] classes = model.getPossibleValues(i);
-      result[i] = classes[random.nextInt(classes.length)];
-    }
-    return result;
-  }
-
-  /**
-   * Finds the best sequence by collecting numSamples samples, scoring them, and then choosing
-   * the highest scoring sample.
-   * @return the array of type int representing the highest scoring sequence
-   */
-  public int[] bestSequence(SequenceModel model) {
-    int[] initialSequence = getRandomSequence(model);
-    return findBestUsingSampling(model, numSamples, sampleInterval, initialSequence);
-  }
-
-  /**
-   * Finds the best sequence by collecting numSamples samples, scoring them, and then choosing
-   * the highest scoring sample.
-   * @return the array of type int representing the highest scoring sequence
-   */
-  public int[] findBestUsingSampling(SequenceModel model, int numSamples, int sampleInterval, int[] initialSequence) {
-    List samples = collectSamples(model, numSamples, sampleInterval, initialSequence);
-    int[] best = null;
-    double bestScore = Double.NEGATIVE_INFINITY;
-    for (int i = 0; i < samples.size(); i++) {
-      int[] sequence = (int[]) samples.get(i);
-      double score = model.scoreOf(sequence);
-      if (score>bestScore) {
-        best = sequence;
-        bestScore = score;
-        System.err.println("found new best ("+bestScore+")");
-        System.err.println(ArrayMath.toString(best));
-      }
-    }
-    return best;
-  }
-
-  public int[] findBestUsingAnnealing(SequenceModel model, CoolingSchedule schedule) {
-    int[] initialSequence = getRandomSequence(model);
-    return findBestUsingAnnealing(model, schedule, initialSequence);
-  }
-
-  public int[] findBestUsingAnnealing(SequenceModel model, CoolingSchedule schedule, int[] initialSequence) {
-    if (verbose>0) System.err.println("Doing annealing");
-    listener.setInitialSequence(initialSequence);
-    List result = new ArrayList();
-    int[] sequence = initialSequence;
-    int[] best = null;
-    double bestScore = Double.NEGATIVE_INFINITY;
-    double score = Double.NEGATIVE_INFINITY;
-    if (!returnLastFoundSequence) {
-      score = model.scoreOf(sequence);
-    }
-
-    for (int i=0; i<schedule.numIterations(); i++) {
-      sequence = copy(sequence); // so we don't change the initial, or the one we just stored
-      double temperature = schedule.getTemperature(i);
-      sampleSequenceForward(model, sequence, temperature); // modifies tagSequence
-      result.add(sequence);
-      if (returnLastFoundSequence) {
-        best = sequence;
-      } else {
-        score = model.scoreOf(sequence);
-        //System.err.println(i+" "+score+" "+Arrays.toString(sequence));
-        if (score>bestScore) {
-          best = sequence;
-          bestScore = score;
-        }      
-      }
-      if (verbose>0) System.err.print(".");
-    }
-    if (verbose>1) {
-      System.err.println();
-      printSamples(result, System.err);
-    }
-    if (verbose>0) System.err.println("done.");
-    //return sequence;
-    return best;
-  }
-
-  /**
-   * Collects numSamples samples of sequences, from the distribution over sequences defined
-   * by the sequence model passed on construction.
-   * All samples collected are sampleInterval samples apart, in an attempt to reduce
-   * autocorrelation.
-   * @return a List containing the sequence samples, as arrays of type int, and their scores
-   */
-  public List<int[]> collectSamples(SequenceModel model, int numSamples, int sampleInterval) {
-    int[] initialSequence = getRandomSequence(model);
-    return collectSamples(model, numSamples, sampleInterval, initialSequence);
-  }
-
-  /**
-   * Collects numSamples samples of sequences, from the distribution over sequences defined
-   * by the sequence model passed on construction.
-   * All samples collected are sampleInterval samples apart, in an attempt to reduce
-   * autocorrelation.
-   * @return a Counter containing the sequence samples, as arrays of type int, and their scores
-   */
-  public List<int[]> collectSamples(SequenceModel model, int numSamples, int sampleInterval, int[] initialSequence) {
-    if (verbose>0) System.err.print("Collecting samples");
-    listener.setInitialSequence(initialSequence);
-    List<int[]> result = new ArrayList<int[]>();
-    int[] sequence = initialSequence;
-    for (int i=0; i<numSamples; i++) {
-      sequence = copy(sequence); // so we don't change the initial, or the one we just stored
-      sampleSequenceRepeatedly(model, sequence, sampleInterval); // modifies tagSequence
-      result.add(sequence); // save it to return later
-      if (verbose>0) System.err.print(".");
-      System.err.flush();
-    }
-    if (verbose>1) {
-      System.err.println();
-      printSamples(result, System.err);
-    }
-    if (verbose>0) System.err.println("done.");
-    return result;
-  }
-
-  /**
-   * Samples the sequence repeatedly, making numSamples passes over the entire sequence.
-   */
-  public void sampleSequenceRepeatedly(SequenceModel model, int[] sequence, int numSamples) {
-    sequence = copy(sequence); // so we don't change the initial, or the one we just stored
-    listener.setInitialSequence(sequence);
-    for (int iter=0; iter<numSamples; iter++) {
-      sampleSequenceForward(model, sequence);
-    }
-  }
-
-  /**
-   * Samples the sequence repeatedly, making numSamples passes over the entire sequence.
-   * Destructively modifies the sequence in place.
-   */
-  public void sampleSequenceRepeatedly(SequenceModel model, int numSamples) {
-    int[] sequence = getRandomSequence(model);
-    sampleSequenceRepeatedly(model, sequence, numSamples);
-  }
-
-  /**
-   * Samples the complete sequence once in the forward direction
-   * Destructively modifies the sequence in place.
-   * @param sequence the sequence to start with.
-   */
-  public void sampleSequenceForward(SequenceModel model, int[] sequence) {
-    sampleSequenceForward(model, sequence, 1.0);
-  }
-  /**
-   * Samples the complete sequence once in the forward direction
-   * Destructively modifies the sequence in place.
-   * @param sequence the sequence to start with.
-   */
-  public void sampleSequenceForward(SequenceModel model, int[] sequence, double temperature) {
-    // System.err.println("Sampling forward");
-    for (int pos=0; pos<sequence.length; pos++) {
-      samplePosition(model, sequence, pos, temperature);
-    }
-  }
-
-  /**
-   * Samples the complete sequence once in the backward direction
-   * Destructively modifies the sequence in place.
-   * @param sequence the sequence to start with.
-   */
-  public void sampleSequenceBackward(SequenceModel model, int[] sequence) {
-    sampleSequenceBackward(model, sequence, 1.0);
-  }
-  /**
-   * Samples the complete sequence once in the backward direction
-   * Destructively modifies the sequence in place.
-   * @param sequence the sequence to start with.
-   */
-  public void sampleSequenceBackward(SequenceModel model, int[] sequence, double temperature) {
-    for (int pos=sequence.length-1; pos>=0; pos--) {
-      samplePosition(model, sequence, pos, temperature);
-    }
-  }
-
-  /**
-   * Samples a single position in the sequence.
-   * Destructively modifies the sequence in place.
-   * returns the score of the new sequence
-   * @param sequence the sequence to start with
-   * @param pos the position to sample.
-   */
-  public double samplePosition(SequenceModel model, int[] sequence, int pos) {
-    return samplePosition(model, sequence, pos, 1.0);
-  }
-
-  /**
-   * Samples a single position in the sequence.
-   * Destructively modifies the sequence in place.
-   * returns the score of the new sequence
-   * @param sequence the sequence to start with
-   * @param pos the position to sample.
-   */
-  public double samplePosition(SequenceModel model, int[] sequence, int pos, double temperature) {
-    double[] distribution = model.scoresOf(sequence, pos);
-    if (temperature!=1.0) {
-      if (temperature==0.0) {
-        // set the max to 1.0
-        int argmax = ArrayMath.argmax(distribution);
-        Arrays.fill(distribution, Double.NEGATIVE_INFINITY);
-        distribution[argmax] = 0.0;
-      } else {
-        // take all to a power
-        // use the temperature to increase/decrease the entropy of the sampling distribution
-        ArrayMath.multiplyInPlace(distribution, 1.0/temperature);
-      }
-    }
-    ArrayMath.logNormalize(distribution);
-    ArrayMath.expInPlace(distribution);
-    int oldTag = sequence[pos];
-    int newTag = ArrayMath.sampleFromDistribution(distribution, random);
-//    System.out.println("Sampled " + oldTag + "->" + newTag);
-    sequence[pos] = newTag;
-    listener.updateSequenceElement(sequence, pos, oldTag);
-    return distribution[newTag];
-  }
-
-  public void printSamples(List samples, PrintStream out) {
-    for (int i = 0; i < document.size(); i++) {
-      HasWord word = (HasWord) document.get(i);
-      String s = "null";
-      if (word!=null) {
-        s = word.word();
-      }
-      out.print(StringUtils.padOrTrim(s, 10));
-      for (int j = 0; j < samples.size(); j++) {
-        int[] sequence = (int[]) samples.get(j);
-        out.print(" " + StringUtils.padLeft(sequence[i], 2));
-      }
-      out.println();
-    }
-  }
-
-  /**
-   * @param document the underlying document which is a list of HasWord; a slight abstraction violation, but useful for debugging!!
-   */
-  public SequenceGibbsSampler(int numSamples, int sampleInterval, SequenceListener listener, List document, boolean returnLastFoundSequence) {
-    this.numSamples = numSamples;
-    this.sampleInterval = sampleInterval;
-    this.listener = listener;
-    this.document = document;
-    this.returnLastFoundSequence = returnLastFoundSequence;
-  }
-
-  public SequenceGibbsSampler(int numSamples, int sampleInterval, SequenceListener listener, List document) {
-    this(numSamples, sampleInterval, listener, document, false);
-  }
-
-  public SequenceGibbsSampler(int numSamples, int sampleInterval, SequenceListener listener) {
-    this(numSamples, sampleInterval, listener, null);
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SequenceListener.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SequenceListener.java
deleted file mode 100644
index 9299a6e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SequenceListener.java
+++ /dev/null
@@ -1,21 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-/**
- * A class capable of listening to changes about a sequence, represented as an array of type int.
- * @author grenager
- */
-public interface SequenceListener {
-
-  /**
-   * Informs this sequence listener that the value of the element at position pos has changed.
-   * This allows this sequence model to update its internal model if desired.
-   */
-  public abstract void updateSequenceElement(int[] sequence, int pos, int oldVal);
-
-  /**
-   * Informs this sequence listener that the value of the whole sequence is initialized to sequence
-   */
-  public abstract void setInitialSequence(int[] sequence);
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SequenceModel.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SequenceModel.java
deleted file mode 100644
index 9864cb2..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SequenceModel.java
+++ /dev/null
@@ -1,62 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-/**
- * Class capable of scoring sequences of a fixed length, typically with a probability distribution over
- * such sequences.
- * @author Teg Grenager (grenager@stanford.edu)
- */
-public interface SequenceModel {
-
-  /**
-   * @return the length of the sequences modeled by this SequenceModel
-   */
-  int length();
-
-  /**
-   * How many positions to the left a position is dependent on.
-   * @return the size of the left window used by this sequence model
-   */
-  int leftWindow();
-
-  /**
-   * How many positions to the right a position is dependent on.
-   * @return the size of the right window used by this sequence model
-   */
-  int rightWindow();
-
-  /**
-   * 0...leftWindow-1 etc are null, leftWindow...length+leftWindow-1 are words, length+leftWindow...length+leftWindow+rightWindow-1 are null;
-   * @param position the position
-   * @return the set of possible int values at this position, as an int array
-   */
-  int[] getPossibleValues(int position);
-
-  /**
-   * Computes the unnormalized log conditional distribution over values of the element
-   * at position pos in the sequence,
-   * conditioned on the values of the elements in all other positions of the provided sequence.
-   * @param sequence the sequence containing the rest of the values to condition on
-   * @param position the position of the element to give a distribution for
-   * @return the scores of the possible tokens at the specified position in the sequence
-   */
-  double[] scoresOf(int[] sequence, int position);
-
-  /**
-   * Computes the unnormalized log conditional distribution over values of the element
-   * at position pos in the sequence,
-   * conditioned on the values of the elements in all other positions of the provided sequence.
-   * @param sequence the sequence containing the rest of the values to condition on
-   * @param position the position of the element to give a distribution for
-   * @return the log score of the token at the specified position in the sequence
-   */
-  double scoreOf(int[] sequence, int position);
-
-  /**
-   * Computes the score assigned by this model to the whole sequence. Typically this will be an unnormalized
-   * probability in log space (since the probabilities are small).
-   * @param sequence the sequence to compute a score for
-   * @return the score for the sequence
-   */
-  double scoreOf(int[] sequence);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SequenceSampler.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SequenceSampler.java
deleted file mode 100644
index 5175cd6..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/SequenceSampler.java
+++ /dev/null
@@ -1,107 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import edu.stanford.nlp.math.ArrayMath;
-import java.util.Arrays;
-
-/**
- * This class will sample an output from a sequence model.  It
- * assumes that the scores are (unnormalized) log-probabilities.  It works by sampling
- * each variable in order, conditioned on the previous variables.
- *
- * @author Jenny Finkel
- */
-public class SequenceSampler implements BestSequenceFinder {
-
-  /**
-   * A class for testing.
-   */
-  private static class TestSequenceModel implements SequenceModel {
-
-    private int[] correctTags = {0, 0, 1, 2, 3, 4, 5, 6, 7, 6, 5, 4, 3, 2, 1, 0, 0};
-    private int[] allTags = {1, 2, 3, 4, 5, 6, 7, 8, 9};
-    private int[] midTags = {0, 1, 2, 3};
-    private int[] nullTags = {0};
-
-    public int length() {
-      return correctTags.length - leftWindow() - rightWindow();
-    }
-
-    public int leftWindow() {
-      return 2;
-    }
-
-    public int rightWindow() {
-      return 0;
-    }
-
-    public int[] getPossibleValues(int pos) {
-      if (pos < leftWindow() || pos >= leftWindow() + length()) {
-        return nullTags;
-      }
-      if (correctTags[pos] < 4) {
-        return midTags;
-      }
-      return allTags;
-    }
-
-    public double scoreOf(int[] tags, int pos) {
-      return 1.0;
-    }
-
-    public double scoreOf(int[] sequence) {
-      throw new UnsupportedOperationException();
-    }
-
-    public double[] scoresOf(int[] tags, int pos) {
-      int[] tagsAtPos = getPossibleValues(pos);
-      double[] scores = new double[tagsAtPos.length];
-      Arrays.fill(scores, 1.0);
-      return scores;
-    }
-
-  } // end class TestSequenceModel
-
-
-  private static String arrayToString(int[] x) {
-    StringBuilder sb = new StringBuilder("(");
-    for (int j = 0; j < x.length; j++) {
-      sb.append(x[j]);
-      if (j != x.length - 1) {
-        sb.append(", ");
-      }
-    }
-    sb.append(")");
-    return sb.toString();
-  }
-
-  public static void main(String[] args) {
-    SequenceSampler ti = new SequenceSampler();
-    SequenceModel ts = new TestSequenceModel();
-    int[] bestTags = ti.bestSequence(ts);
-    System.out.println("The best sequence is ... " + arrayToString(bestTags));
-  }
-
-  /**
-   * Runs the Viterbi algorithm on the sequence model given by the TagScorer
-   * in order to find the best sequence.
-   * @return an array containing the int tags of the best sequence
-   */
-  public int[] bestSequence(SequenceModel ts) {
-    
-    int[] sample = new int[ts.length()+ts.leftWindow()];
-
-    for (int pos = ts.leftWindow(); pos < sample.length; pos++) {
-      double[] scores = ts.scoresOf(sample, pos);
-      double total = 0.0;
-      for (int i = 0; i < scores.length; i++) {
-        scores[i] = Math.exp(scores[i]);
-      }
-      ArrayMath.normalize(scores);
-      int l = ArrayMath.sampleFromDistribution(scores);
-      sample[pos] = ts.getPossibleValues(pos)[l];
-    }
-
-    return sample;
-  }
-  
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/ViterbiSearchGraphBuilder.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/ViterbiSearchGraphBuilder.java
deleted file mode 100644
index 0bede9a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/sequences/ViterbiSearchGraphBuilder.java
+++ /dev/null
@@ -1,134 +0,0 @@
-package edu.stanford.nlp.sequences;
-
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.fsm.*;
-
-import java.util.Arrays;
-
-/**
- * @author Michel Galley
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) - cleanup and filling in types
- */
-public class ViterbiSearchGraphBuilder {
-
-  public static DFSA<String, Integer> getGraph(SequenceModel ts, Index<String> classIndex) {
-
-    DFSA<String, Integer> viterbiSearchGraph = new DFSA<String, Integer>(null);
-
-    // Set up tag options
-    int length = ts.length();
-    int leftWindow = ts.leftWindow();
-    int rightWindow = ts.rightWindow();
-
-   assert (rightWindow == 0);
-    
-    int padLength = length + leftWindow + rightWindow;
-
-    // NOTE: tags[i][j]  : i is index into pos, and j into product
-    int[][] tags = new int[padLength][];
-    int[] tagNum = new int[padLength];    
-    for (int pos = 0; pos < padLength; pos++) {
-      tags[pos] = ts.getPossibleValues(pos);
-      tagNum[pos] = tags[pos].length;
-    }
-
-    // Set up Viterbi search graph:
-    DFSAState<String, Integer>[][] graphStates = null;
-    DFSAState<String, Integer> startState = null, endState = null;
-    if(viterbiSearchGraph != null) {
-      int stateId = -1;
-      startState = new DFSAState<String, Integer>(++stateId, viterbiSearchGraph, 0.0);
-      viterbiSearchGraph.setInitialState(startState);
-      graphStates = new DFSAState[length][];
-      for(int pos = 0; pos<length; ++pos) {
-        //System.err.printf("%d states at pos %d\n",tags[pos].length,pos);
-        graphStates[pos] = new DFSAState[tags[pos].length];
-        for(int product = 0; product < tags[pos].length; ++product) {
-          graphStates[pos][product] = new DFSAState<String, Integer>(++stateId, viterbiSearchGraph);
-        }
-      }
-      // Accepting state:
-      endState = new DFSAState<String, Integer>(++stateId, viterbiSearchGraph, 0.0);
-      endState.setAccepting(true);
-    }
-
-    int[] tempTags = new int[padLength];
-
-    // Set up product space sizes
-    int[] productSizes = new int[padLength];
-
-    int curProduct = 1;
-    for (int i = 0; i < leftWindow; i++) {
-      curProduct *= tagNum[i];
-    }
-    for (int pos = leftWindow; pos < padLength; pos++) {
-      if (pos > leftWindow + rightWindow) {
-        curProduct /= tagNum[pos - leftWindow - rightWindow - 1]; // shift off
-      }
-      curProduct *= tagNum[pos]; // shift on
-      productSizes[pos - rightWindow] = curProduct;
-    }
-
-    double[][] windowScore = new double[padLength][];
-    
-    // Score all of each window's options
-    for (int pos = leftWindow; pos < leftWindow + length; pos++) {
-      windowScore[pos] = new double[productSizes[pos]];
-      Arrays.fill(tempTags, tags[0][0]);
-
-      for (int product = 0; product < productSizes[pos]; product++) {
-        int p = product;
-        int shift = 1;
-        for (int curPos = pos; curPos >= pos - leftWindow; curPos--) {
-          tempTags[curPos] = tags[curPos][p % tagNum[curPos]];
-          p /= tagNum[curPos];
-          if (curPos > pos) {
-            shift *= tagNum[curPos];
-          }
-        }
-        if (tempTags[pos] == tags[pos][0]) {
-          // get all tags at once
-          double[] scores = ts.scoresOf(tempTags, pos);
-          // fill in the relevant windowScores
-          for (int t = 0; t < tagNum[pos]; t++) {
-            windowScore[pos][product + t * shift] = scores[t];
-          }
-        }
-      }
-    }
-
-    // loop over the classification spot
-    for (int pos = leftWindow; pos < length + leftWindow; pos++) {
-      // loop over window product types
-      for (int product = 0; product < productSizes[pos]; product++) {
-        if (pos == leftWindow) {
-          // all nodes in the first spot link to startState:
-          int curTag = tags[pos][product % tagNum[pos]];
-          //System.err.printf("pos=%d, product=%d, tag=%d score=%.3f\n",pos,product,curTag,windowScore[pos][product]);
-          DFSATransition<String, Integer> tr = 
-            new DFSATransition<String, Integer>("",startState,graphStates[pos][product],classIndex.get(curTag),"",-windowScore[pos][product]);
-          startState.addTransition(tr);
-        } else {
-          int sharedProduct = product / tagNum[pos + rightWindow];
-          int factor = productSizes[pos] / tagNum[pos + rightWindow];
-
-          for (int newTagNum = 0; newTagNum < tagNum[pos - leftWindow - 1]; newTagNum++) {
-            int predProduct = newTagNum * factor + sharedProduct;
-            int predTag = tags[pos-1][predProduct % tagNum[pos-1]];
-            int curTag = tags[pos][product % tagNum[pos]];
-            //System.err.println("pos: "+pos);
-            //System.err.println("product: "+product);
-            //System.err.printf("pos=%d-%d, product=%d-%d, tag=%d-%d score=%.3f\n",pos-1,pos,predProduct,product,predTag,curTag,
-            //  windowScore[pos][product]);
-            DFSAState<String, Integer> sourceState = graphStates[pos-leftWindow][predTag];
-            DFSAState<String, Integer> destState = (pos-leftWindow+1==graphStates.length) ? endState : graphStates[pos-leftWindow+1][curTag];
-            DFSATransition<String, Integer> tr = 
-              new DFSATransition<String, Integer>("",sourceState,destState,classIndex.get(curTag),"",-windowScore[pos][product]);
-            graphStates[pos-leftWindow][predTag].addTransition(tr);
-          }
-        }
-      }
-    }
-    return viterbiSearchGraph;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/AbstractCounter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/AbstractCounter.java
deleted file mode 100644
index f329291..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/AbstractCounter.java
+++ /dev/null
@@ -1,44 +0,0 @@
-package edu.stanford.nlp.stats;
-
-import edu.stanford.nlp.math.SloppyMath;
-
-/**
- * Default implementations of all the convenience methods provided by
- * {@link Counter}.
- *
- * @author dramage
- */
-public abstract class AbstractCounter<E> implements Counter<E> {
-
-  public double logIncrementCount(E key, double amount) {
-    double count = SloppyMath.logAdd(getCount(key), amount);
-    setCount(key, count);
-    return getCount(key);
-  }
-
-  public double incrementCount(E key, double amount) {
-    double count = getCount(key) + amount;
-    setCount(key, count);
-    // get the value just to make sure it agrees with what is in the counter
-    // (in case it's a float or int)
-    return getCount(key);
-  }
-
-  public double incrementCount(E key) {
-    return incrementCount(key, 1.0);
-  }
-
-  public double decrementCount(E key, double amount) {
-    return incrementCount(key, -amount);
-  }
-
-  public double decrementCount(E key) {
-    return incrementCount(key, -1.0);
-  }
-
-  /** {@inheritDoc} */
-  public void addAll(Counter<E> counter) {
-    Counters.addInPlace(this, counter);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/AccuracyStats.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/AccuracyStats.java
deleted file mode 100644
index bb15ea1..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/AccuracyStats.java
+++ /dev/null
@@ -1,109 +0,0 @@
-package edu.stanford.nlp.stats;
-
-import java.text.NumberFormat;
-import java.util.ArrayList;
-
-import edu.stanford.nlp.classify.GeneralDataset;
-import edu.stanford.nlp.classify.PRCurve;
-import edu.stanford.nlp.classify.ProbabilisticClassifier;
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.StringUtils;
-
-/**
- * Utility class for aggregating counts of true positives, false positives, and
- * false negatives and computing precision/recall/F1 stats. Can be used for a single
- * collection of stats, or to aggregate stats from a bunch of runs.
- *
- * @author Kristina Toutanova
- * @author Jenny Finkel
- */
-public class AccuracyStats<L> implements Scorer<L> {
-
-  double confWeightedAccuracy;
-  double accuracy;
-  double optAccuracy;
-  double optConfWeightedAccuracy;
-  double logLikelihood;
-  int[] accrecall;
-  int[] optaccrecall;
-
-  L posLabel;
-
-  String saveFile; // = null;
-  static int saveIndex = 1;
-
-  public <F> AccuracyStats(ProbabilisticClassifier<L,F> classifier, GeneralDataset<L,F> data, L posLabel) {
-    this.posLabel = posLabel;
-    score(classifier, data);
-  }
-
-  public AccuracyStats(L posLabel, String saveFile) {
-    this.posLabel = posLabel;
-    this.saveFile = saveFile;
-  }
-
-  public <F> double score(ProbabilisticClassifier<L,F> classifier, GeneralDataset<L,F> data) {
-
-    ArrayList<Pair<Double, Integer>> dataScores = new ArrayList<Pair<Double, Integer>>();
-    for (int i = 0; i < data.size(); i++) {
-      Datum<L,F> d = data.getRVFDatum(i);
-      Counter<L> scores = classifier.logProbabilityOf(d);
-      int labelD = d.label().equals(posLabel) ? 1 : 0;
-      dataScores.add(new Pair<Double, Integer>(Math.exp(scores.getCount(posLabel)), labelD));
-    }
-
-    PRCurve prc = new PRCurve(dataScores);
-
-    confWeightedAccuracy = prc.cwa();
-    accuracy = prc.accuracy();
-    optAccuracy = prc.optimalAccuracy();
-    optConfWeightedAccuracy = prc.optimalCwa();
-    logLikelihood = prc.logLikelihood();
-    accrecall = prc.cwaArray();
-    optaccrecall = prc.optimalCwaArray();
-
-    return accuracy;
-  }
-
-  public String getDescription(int numDigits) {
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMaximumFractionDigits(numDigits);
-
-    StringBuilder sb = new StringBuilder();
-    sb.append("--- Accuracy Stats ---").append('\n');
-    sb.append("accuracy: ").append(nf.format(accuracy)).append('\n');
-    sb.append("optimal fn accuracy: ").append(nf.format(optAccuracy)).append('\n');
-    sb.append("confidence weighted accuracy :").append(nf.format(confWeightedAccuracy)).append('\n');
-    sb.append("optimal confidence weighted accuracy: ").append(nf.format(optConfWeightedAccuracy)).append('\n');
-    sb.append("log-likelihood: ").append(logLikelihood).append('\n');
-    if (saveFile != null) {
-      String f = saveFile + '-' + saveIndex;
-      sb.append("saving accuracy info to ").append(f).append(".accuracy\n");
-      StringUtils.printToFile(f + ".accuracy", toStringArr(accrecall));
-      sb.append("saving optimal accuracy info to ").append(f).append(".optimal_accuracy\n");
-      StringUtils.printToFile(f + ".optimal_accuracy", toStringArr(optaccrecall));
-      saveIndex++;
-      //sb.append("accuracy coverage: ").append(toStringArr(accrecall)).append("\n");
-      //sb.append("optimal accuracy coverage: ").append(toStringArr(optaccrecall));
-    }
-    return sb.toString();
-  }
-
-  public static String toStringArr(int[] acc) {
-    StringBuilder sb = new StringBuilder();
-    int total = acc.length;
-    for (int i = 0; i < acc.length; i++) {
-      double coverage = (i + 1) / (double) total;
-      double accuracy = acc[i] / (double) (i + 1);
-      coverage *= 1000000;
-      accuracy *= 1000000;
-      sb.append(((int) coverage) / 10000);
-      sb.append('\t');
-      sb.append(((int) accuracy) / 10000);
-      sb.append('\n');
-    }
-    return sb.toString();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/ClassicCounter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/ClassicCounter.java
deleted file mode 100644
index d426a4f..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/ClassicCounter.java
+++ /dev/null
@@ -1,560 +0,0 @@
-// Stanford JavaNLP support classes
-// Copyright (c) 2001-2008 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    java-nlp-support@lists.stanford.edu
-//    http://nlp.stanford.edu/software/
-
-package edu.stanford.nlp.stats;
-
-import java.io.Serializable;
-import java.util.AbstractCollection;
-import java.util.AbstractSet;
-import java.util.Collection;
-import java.util.Iterator;
-import java.util.Map;
-import java.util.Set;
-import java.util.Map.Entry;
-
-import edu.stanford.nlp.math.SloppyMath;
-import edu.stanford.nlp.util.Factory;
-import edu.stanford.nlp.util.MapFactory;
-import edu.stanford.nlp.util.MutableDouble;
-
-
-/**
- * A specialized kind of hash table (or map) for storing numeric counts for
- * objects. It works like a Map,
- * but with different methods for easily getting/setting/incrementing counts
- * for objects and computing various functions with the counts.
- * The Counter constructor
- * and <tt>addAll</tt> method can be used to copy another Counter's contents
- * over.
- * <p/>
- * <i>Implementation notes:</i>
- * You shouldn't casually add further methods to
- * this interface. Rather, they should be added to the {@link Counters} class.
- * Note that this class stores a
- * <code>totalCount</code> field as well as the map.  This makes certain
- * operations much more efficient, but means that any methods that change the
- * map must also update <code>totalCount</code> appropriately. If you use the
- * <code>setCount</code> method, then you cannot go wrong.
- * This class is not threadsafe: If multiple threads are accessing the same
- * counter, then access should be synchronized externally to this class.
- *
- * @author Dan Klein (klein@cs.stanford.edu)
- * @author Joseph Smarr (jsmarr@stanford.edu)
- * @author Teg Grenager
- * @author Galen Andrew
- * @author Christopher Manning
- * @author Kayur Patel (kdpatel@cs)
- */
-public class ClassicCounter<E> implements Serializable, Counter<E>, Iterable<E> {
-
-  Map<E, MutableDouble> map;  // accessed by DeltaCounter
-  private MapFactory<E, MutableDouble> mapFactory;
-  private double totalCount; // = 0.0
-  private double defaultValue; // = 0.0;
-
-
-  private static final long serialVersionUID = 4L;
-
-  // for more efficient speed/memory usage
-  private transient MutableDouble tempMDouble; // = null;
-
-
-  // CONSTRUCTORS
-
-  /**
-   * Constructs a new (empty) Counter backed by a HashMap.
-   */
-  public ClassicCounter() {
-    this(MapFactory.<E,MutableDouble>hashMapFactory());
-  }
-
-  /**
-   * Pass in a MapFactory and the map it vends will back your Counter.
-   *
-   * @param mapFactory The Map this factory vends will back your Counter.
-   */
-  public ClassicCounter(MapFactory<E,MutableDouble> mapFactory) {
-    this.mapFactory = mapFactory;
-    this.map = mapFactory.newMap();
-  }
-
-  /**
-   * Pass in a MapFactory and the map it vends will back your Counter.
-   *
-   * @param mapFactory The Map this factory vends will back your Counter.
-   * @param initialCapacity initial capacity of the counter
-   */
-  public ClassicCounter(MapFactory<E,MutableDouble> mapFactory, int initialCapacity) {
-    this.mapFactory = mapFactory;
-    this.map = mapFactory.newMap(initialCapacity);
-  }
-
-  /**
-   * Constructs a new Counter with the contents of the given Counter.
-   * <i>Implementation note:</i> A new Counter is allocated with its
-   * own counts, but keys will be shared and should be an immutable class.
-   *
-   * @param c The Counter which will be copied.
-   */
-  public ClassicCounter(Counter<E> c) {
-    this();
-    Counters.addInPlace(this, c);
-    setDefaultReturnValue(c.defaultReturnValue());
-  }
-
-  /**
-   * Constructs a new Counter by counting the elements in the given Collection.
-   * The Counter is backed by a HashMap.
-   *
-   * @param collection Each item in the Collection is made a key in the
-   *     Counter with count being its multiplicity in the Collection.
-   */
-  public ClassicCounter(Collection<E> collection) {
-    this();
-    for (E key : collection) {
-      incrementCount(key);
-    }
-  }
-
-
-  // STANDARD ACCESS MODIFICATION METHODS
-
-  /** Get the MapFactory for this Counter.
-   *  This method is needed by the DeltaCounter implementation.
-   *
-   *  @return The MapFactory
-   */
-  MapFactory<E,MutableDouble> getMapFactory() {
-    return mapFactory;
-  }
-
-
-  // METHODS NEEDED BY THE Counter INTERFACE
-
-  /** {@inheritDoc} */
-  public Factory<Counter<E>> getFactory() {
-    return new ClassicCounterFactory<E>(getMapFactory());
-  }
-
-  private static class ClassicCounterFactory<E> implements Factory<Counter<E>> {
-
-    private static final long serialVersionUID = 1L;
-
-    private final MapFactory<E,MutableDouble> mf;
-
-    private ClassicCounterFactory(MapFactory<E,MutableDouble> mf) {
-      this.mf = mf;
-    }
-
-    public Counter<E> create() {
-      return new ClassicCounter<E>(mf);
-    }
-  }
-
-  /** {@inheritDoc} */
-  public final void setDefaultReturnValue(double rv) { defaultValue = rv; }
-
-  /** {@inheritDoc} */
-  public double defaultReturnValue() { return defaultValue; }
-
-
-  /** {@inheritDoc} */
-  public double getCount(Object key) {
-    Number count = map.get(key);
-    if (count == null) {
-      return defaultValue; // haven't seen this object before -> default count
-    }
-    return count.doubleValue();
-  }
-
-  /** {@inheritDoc} */
-  public void setCount(E key, double count) {
-    if (tempMDouble == null) {
-      //System.out.println("creating mdouble");
-      tempMDouble = new MutableDouble();
-    }
-    //System.out.println("setting mdouble");
-    tempMDouble.set(count);
-    //System.out.println("putting mdouble in map");
-    tempMDouble = map.put(key, tempMDouble);
-    //System.out.println("placed mDouble in map");
-
-    totalCount += count;
-    if (tempMDouble != null) {
-      totalCount -= tempMDouble.doubleValue();
-    }
-  }
-
-
-  /** {@inheritDoc} */
-  public double incrementCount(E key, double count) {
-    if (tempMDouble == null) {
-      tempMDouble = new MutableDouble();
-    }
-    MutableDouble oldMDouble = map.put(key, tempMDouble);
-    totalCount += count;
-    if (oldMDouble != null) {
-      count += oldMDouble.doubleValue();
-    }
-    tempMDouble.set(count);
-    tempMDouble = oldMDouble;
-
-    return count;
-  }
-
-  /** {@inheritDoc} */
-  public final double incrementCount(E key) {
-    return incrementCount(key, 1.0);
-  }
-
-  /** {@inheritDoc} */
-  public double decrementCount(E key, double count) {
-    return incrementCount(key, -count);
-  }
-
-  /** {@inheritDoc} */
-  public double decrementCount(E key) {
-    return incrementCount(key, -1.0);
-  }
-
-  /** {@inheritDoc} */
-  public double logIncrementCount(E key, double count) {
-    if (tempMDouble == null) {
-      tempMDouble = new MutableDouble();
-    }
-    MutableDouble oldMDouble = map.put(key, tempMDouble);
-    if (oldMDouble != null) {
-      count = SloppyMath.logAdd(count, oldMDouble.doubleValue());
-      totalCount += count - oldMDouble.doubleValue();
-    } else {
-      totalCount += count;
-    }
-    tempMDouble.set(count);
-    tempMDouble = oldMDouble;
-
-    return count;
-  }
-
-
-  /** {@inheritDoc} */
-  public void addAll(Counter<E> counter) {
-    Counters.addInPlace(this, counter);
-  }
-
-  /** {@inheritDoc} */
-  public double remove(E key) {
-    MutableDouble d = mutableRemove(key); // this also updates totalCount
-    if(d != null) {
-      return d.doubleValue();
-    }
-    return defaultValue;
-  }
-
-  /** {@inheritDoc} */
-  public boolean containsKey(E key) {
-    return map.containsKey(key);
-  }
-
-  /** {@inheritDoc} */
-  public Set<E> keySet() {
-    return map.keySet();
-  }
-
-  /** {@inheritDoc} */
-  public Collection<Double> values() {
-    return new AbstractCollection<Double>() {
-      @Override
-      public Iterator<Double> iterator() {
-        return new Iterator<Double>() {
-          Iterator<MutableDouble> inner = map.values().iterator();
-
-          public boolean hasNext() {
-            return inner.hasNext();
-          }
-
-          public Double next() {
-            // copy so as to give safety to mutable internal representation
-            return Double.valueOf(inner.next().doubleValue());
-          }
-
-          public void remove() {
-            throw new UnsupportedOperationException();
-          }
-        };
-      }
-
-      @Override
-      public int size() {
-        return map.size();
-      }
-
-      @Override
-      public boolean contains(Object v) {
-        return v instanceof Double && map.values().contains(new MutableDouble((Double) v));
-      }
-
-    };
-  }
-
-  /** {@inheritDoc} */
-  public Set<Map.Entry<E,Double>> entrySet() {
-    return new AbstractSet<Map.Entry<E,Double>>() {
-      @Override
-      public Iterator<Entry<E, Double>> iterator() {
-        return new Iterator<Entry<E,Double>>() {
-          final Iterator<Entry<E,MutableDouble>> inner = map.entrySet().iterator();
-
-          public boolean hasNext() {
-            return inner.hasNext();
-          }
-
-          public Entry<E, Double> next() {
-            return new Entry<E,Double>() {
-              final Entry<E,MutableDouble> e = inner.next();
-
-              public double getDoubleValue() {
-                return e.getValue().doubleValue();
-              }
-
-              public double setValue(double value) {
-                final double old = e.getValue().doubleValue();
-                e.getValue().set(value);
-                totalCount = totalCount - old + value;
-                return old;
-              }
-
-              public E getKey() {
-                return e.getKey();
-              }
-
-              public Double getValue() {
-                return getDoubleValue();
-              }
-
-              public Double setValue(Double value) {
-                return setValue(value.doubleValue());
-              }
-            };
-          }
-
-          public void remove() {
-            throw new UnsupportedOperationException();
-          }
-        };
-      }
-
-      @Override
-      public int size() {
-        return map.size();
-      }
-    };
-  }
-
-  /** {@inheritDoc} */
-  public void clear() {
-    map.clear();
-    totalCount = 0.0;
-  }
-
-  /** {@inheritDoc} */
-  public int size() {
-    return map.size();
-  }
-
-  /** {@inheritDoc} */
-  public double totalCount() {
-    return totalCount;
-  }
-
-
-  // ADDITIONAL MAP LIKE OPERATIONS (NOT IN Counter INTERFACE)
-  // THEIR USE IS DISCOURAGED, BUT THEY HAVEN'T (YET) BEEN REMOVED.
-
-  /** This is a shorthand for keySet.iterator(). It's not really clear that
-   *  this method should be here, as the Map interface has no such shortcut,
-   *  but it's used in a number of places, and I've left it in for now.
-   *  Use is discouraged.
-   *
-   *  @return An Iterator over the keys in the Counter.
-   */
-  public Iterator<E> iterator() {
-    return keySet().iterator();
-  }
-
-  /** This is used internally to the class for getting back a
-   *  MutableDouble in a remove operation.  Not for public use.
-   *
-   *  @param key The key to remove
-   *  @return Its value as a MutableDouble
-   */
-  private MutableDouble mutableRemove(E key) {
-    MutableDouble md = map.remove(key);
-    if (md != null) {
-      totalCount -= md.doubleValue();
-    }
-    return md;
-  }
-
-
-  /**
-   * Removes all the given keys from this Counter.
-   * Keys may be included that are not actually in the
-   * Counter - no action is taken in response to those
-   * keys.  This behavior should be retained in future
-   * revisions of Counter (matches HashMap).
-   *
-   * @param keys The keys to remove from the Counter. Their values are
-   *     subtracted from the total count mass of the Counter.
-   */
-  public void removeAll(Collection<E> keys) {
-    for (E key : keys) {
-      mutableRemove(key);
-    }
-  }
-
-  /** Returns whether a Counter has no keys in it.
-   *
-   *  @return true iff a Counter has no keys in it.
-   */
-  public boolean isEmpty() {
-    return size() == 0;
-  }
-
-
-  // OBJECT STUFF
-
-  // NOTE: Using @inheritdoc to get back to Object's javadoc doesn't work
-  // on a class that implements an interface in 1.6.  Weird, but there you go.
-
-  /** Equality is defined over all Counter implementations.
-   *  Two Counters are equal if they have the same keys explicitly stored
-   *  with the same values.
-   *  <p>
-   *  Note that a Counter with a key with value defaultReturnValue will not
-   *  be judged equal to a Counter that is lacking that key. In order for
-   *  two Counters to be correctly judged equal in such cases, you should
-   *  call Counters.retainNonDefaultValues() on both Counters first.
-   *
-   *  @param o Object to compare for equality
-   *  @return Whether this is equal to o
-   */
-  @Override
-  @SuppressWarnings("unchecked")
-  public boolean equals(Object o) {
-    if (this == o) {
-      return true;
-    } else if ( ! (o instanceof Counter)) {
-      return false;
-    } else if ( ! (o instanceof ClassicCounter)) {
-      return Counters.equals(this, (Counter<E>) o);
-    }
-
-    final ClassicCounter<E> counter = (ClassicCounter<E>) o;
-    return totalCount == counter.totalCount && map.equals(counter.map);
-  }
-
-
-  /** Returns a hashCode which is the underlying Map's hashCode.
-   *
-   *  @return A hashCode.
-   */
-  @Override
-  public int hashCode() {
-    return map.hashCode();
-  }
-
-  /** Returns a String representation of the Counter, as formatted by
-   *  the underlying Map.
-   *
-   *  @return A String representation of the Counter.
-   */
-  @Override
-  public String toString() {
-    return map.toString();
-  }
-
-
-  // EXTRA I/O METHODS
-
-  /**
-   * Returns the Counter over Strings specified by this String.
-   * The String is often the whole contents of a file.
-   * The file can include comments if each line of comment starts with
-   * a hash (#) symbol, and does not contain any TAB characters.
-   * Otherwise, the format is one entry per line.  Each line must contain
-   * precisely one tab separating a key and a value, giving a format of:
-   * <blockquote>
-   * StringKey\tdoubleValue\n
-   * </blockquote>
-   *
-   * @param s String representation of a Counter, where entries are one per
-   *     line such that each line is either a comment (begins with #)
-   *     or key \t value
-   * @return The Counter with String keys
-   */
-  public static ClassicCounter<String> valueOfIgnoreComments(String s) {
-      ClassicCounter<String> result = new ClassicCounter<String>();
-      String[] lines = s.split("\n");
-      for (String line : lines) {
-        String[] fields = line.split("\t");
-        if (fields.length != 2) {
-          if (line.startsWith("#")) {
-            continue;
-          } else {
-            throw new RuntimeException("Got unsplittable line: \"" + line + '\"');
-          }
-        }
-        result.setCount(fields[0], Double.parseDouble(fields[1]));
-      }
-      return result;
-    }
-
-
-  /**
-   * Converts from the format printed by the toString method back into
-   * a Counter&lt;String&gt;.  The toString() doesn't escape, so this only
-   * works providing the keys of the Counter do not have commas or equals signs
-   * in them.
-   *
-   * @param s A String representation of a Counter
-   * @return The Counter
-   */
-  public static ClassicCounter<String> fromString(String s) {
-    ClassicCounter<String> result = new ClassicCounter<String>();
-    if (!s.startsWith("{") || !s.endsWith("}")) {
-      throw new RuntimeException("invalid format: ||"+s+"||");
-    }
-    s = s.substring(1, s.length()-1);
-    String[] lines = s.split(", ");
-    for (String line : lines) {
-      String[] fields = line.split("=");
-      if (fields.length!=2) throw new RuntimeException("Got unsplittable line: \"" + line + '\"');
-      result.setCount(fields[0], Double.parseDouble(fields[1]));
-    }
-    return result;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Counter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Counter.java
deleted file mode 100644
index faf7e65..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Counter.java
+++ /dev/null
@@ -1,260 +0,0 @@
-// Stanford JavaNLP support classes
-// Copyright (c) 2004-2008 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    java-nlp-support@lists.stanford.edu
-//    http://nlp.stanford.edu/software/
-
-package edu.stanford.nlp.stats;
-
-import java.util.Collection;
-import java.util.Map;
-import java.util.Set;
-
-import edu.stanford.nlp.util.Factory;
-
-/**
- * An Object to double map used for keeping weights or counts for objects.
- * Utility functions are contained in
- * {@link Counters}.  The class previously known as Counter has been
- * renamed to {@link ClassicCounter}.  An alternative Counter
- * implementation, which is more memory efficient but not necessarily faster,
- * is {@link OpenAddressCounter}.
- * <p>
- * <i>Implementation note:</i> You shouldn't casually add further methods to
- * this interface. Rather, they should be added to the {@link Counters} class.
- *
- * @author dramage
- * @author cer
- * @author pado
- */
-public interface Counter<E> {
-
-  /**
-   * Returns a factory that can create new instances of this kind of Counter.
-   *
-   * @return A factory that can create new instances of this kind of Counter.
-   */
-  public Factory<Counter<E>> getFactory();
-
-  /**
-   * Sets the default return value. This value is returned when you get
-   * the value for keys that are not in the Counter. It is zero by
-   * default, but can sometimes usefully by set to other values like
-   * Double.NaN or Double.NEGATIVE_INFINITY.
-   *
-   * @param rv The default value
-   */
-  public void setDefaultReturnValue(double rv) ;
-
-  /**
-   * Returns the default return value.
-   *
-   * @return The default return value.
-   */
-  public double defaultReturnValue() ;
-
-  /**
-   * Returns the count for this key as a double. This is the
-   * defaultReturnValue (0.0, if it hasn't been set) if the key hasn't
-   * previously been seen.
-   *
-   * @param key The key
-   * @return The count
-   */
-  public double getCount(Object key);
-
-  /**
-   * Sets the count for the given key to be the given value.
-   * This will replace any existing count for the key.
-   * To add to a count instead of replacing it, use
-   * {@link #incrementCount(Object,double)}.
-   *
-   * @param key The key
-   * @param value The count
-   */
-  public void setCount(E key, double value);
-
-  /**
-   * Increments the count for the given key by the given value. If the key
-   * hasn't been seen before, it is assumed to have count 0.0, and thus this
-   * method will set its count to the given amount. <i>Note that this is
-   * true regardless of the setting of defaultReturnValue.</i>
-   * Negative increments are equivalent to calling <tt>decrementCount</tt>.
-   * To more conveniently increment the count by 1.0, use
-   * {@link #incrementCount(Object)}.
-   * To set a count to a specific value instead of incrementing it, use
-   * {@link #setCount(Object,double)}.
-   *
-   * @param key The key to increment
-   * @param value The amount to increment it by
-   * @return The value associated with they key, post-increment.
-   */
-  public double incrementCount(E key, double value);
-
-  /**
-   * Increments the count for this key by 1.0. If the key hasn't been seen
-   * before, it is assumed to have count 0.0, and thus this method will set
-   * its count to 1.0. <i>Note that this is
-   * true regardless of the setting of defaultReturnValue.</i>
-   * To increment the count by a value other than 1.0, use
-   * {@link #incrementCount(Object,double)}.
-   * To set a count to a specific value instead of incrementing it, use
-   * {@link #setCount(Object,double)}.
-   *
-   * @param key The key to increment by 1.0
-   * @return The value associated with they key, post-increment.
-   */
-  public double incrementCount(E key);
-
-  /**
-   * Decrements the count for this key by the given value.
-   * If the key hasn't been seen before, it is assumed to have count 0.0, and
-   * thus this  method will set its count to the negative of the given amount.
-   * <i>Note that this is true regardless of the setting of defaultReturnValue.</i>
-   * Negative increments are equivalent to calling <code>incrementCount</code>.
-   * To more conveniently decrement the count by 1.0, use
-   * {@link #decrementCount(Object)}.
-   * To set a count to a specific value instead of decrementing it, use
-   * {@link #setCount(Object,double)}.
-   *
-   * @param key The key to decrement
-   * @param value The amount to decrement it by
-   * @return The value associated with they key, post-decrement.
-   */
-  public double decrementCount(E key, double value);
-
-  /**
-   * Decrements the count for this key by 1.0.
-   * If the key hasn't been seen before, it is assumed to have count 0.0,
-   * and thus this method will set its count to -1.0. <i>Note that this is
-   * true regardless of the setting of defaultReturnValue.</i>
-   * To decrement the count by a value other than 1.0, use
-   * {@link #decrementCount(Object,double)}.
-   * To set a count to a specific value instead of decrementing it, use
-   * {@link #setCount(Object,double)}.
-   *
-   * @param key The key to decrement by 1.0
-   * @return The value of associated with they key, post-decrement.
-   */
-  public double decrementCount(E key);
-
-  /**
-   * Increments the count stored in log space for this key by the given
-   * log-transformed value.
-   * If the current count for the key is v1, and you call
-   * logIncrementCount with a value of v2, then the new value will
-   * be log(e^v1 + e^v2). If the key
-   * hasn't been seen before, it is assumed to have count
-   * Double.NEGATIVE_INFINITY, and thus this
-   * method will set its count to the given amount.  <i>Note that this is
-   * true regardless of the setting of defaultReturnValue.</i>
-   * To set a count to a specific value instead of incrementing it, you need
-   * to first take the log yourself and then to call
-   * {@link #setCount(Object,double)}.
-   *
-   * @param key The key to increment
-   * @param value The amount to increment it by, in log space
-   * @return The value associated with they key, post-increment, in log space
-   */
-  public double logIncrementCount(E key, double value);
-
-  /**
-   * Adds the counts in the given Counter to the counts in this Counter.
-   * This is identical in effect to calling Counters.addInPlace(this, counter).
-   *
-   * @param counter The Counter whose counts will be added. For each key in
-   *   counter, if it is not in this, then it will be added with value
-   *   <code>counter.getCount(key)</code>. Otherwise, it will have value
-   *   <code>this.getCount(key) + counter.getCount(key)</code>.
-   */
-  public void addAll(Counter<E> counter);
-
-  /**
-   * Removes the given key and its associated value from this Counter.
-   * Its count will now be returned as the defaultReturnValue and it
-   * will no longer be considered previously seen. If a key not contained in
-   * the Counter is given, no action is performed on the Counter and the
-   * defaultValue is returned.  This behavior echoes that of HashMap, but differs
-   * since a HashMap returns a Double (rather than double) and thus returns null
-   * if a key is not present.  Any future revisions of Counter should preserve
-   * the ability to "remove" a key that is not present in the Counter.
-   *
-   * @param key The key
-   * @return The value removed from the map or the default value if no
-   *   count was associated with that key.
-   */
-  public double remove(E key);
-
-  /** Returns whether a Counter contains a key.
-   *
-   *  @param key The key
-   *  @return true iff key is a key in this Counter.
-   */
-  public boolean containsKey(E key);
-
-  /**
-   * Returns the Set of keys in this counter.
-   *
-   * @return The Set of keys in this counter.
-   */
-  public Set<E> keySet();
-
-  /**
-   * Returns a copy of the values currently in this counter.
-   * (You should regard this Collection as read-only for forward
-   * compatibility; at present implementations differ on how they
-   * respond to attempts to change this Collection.)
-   *
-   * @return A copy of the values currently in this counter.
-   */
-  public Collection<Double> values();
-
-  /**
-   * Returns a view of the entries in this counter.  The values
-   * can be safely modified with setValue().
-   *
-   * @return A view of the entries in this counter
-   */
-  public Set<Map.Entry<E,Double>> entrySet();
-
-  /**
-   * Removes all entries from the counter.
-   */
-  public void clear();
-
-  /**
-   * Returns the number of entries stored in this counter.
-   * @return The number of entries in this counter.
-   */
-  public int size();
-
-  /**
-   * Computes the total of all counts in this counter, and returns it
-   * as a double.  (Existing implementations cache this value, so that this
-   * operation is cheap.)
-   *
-   * @return The total (arithmetic sum) of all counts in this counter.
-   */
-  public double totalCount();
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Counters.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Counters.java
deleted file mode 100644
index a67887b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Counters.java
+++ /dev/null
@@ -1,2525 +0,0 @@
-// Stanford JavaNLP support classes
-// Copyright (c) 2004-2008 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    java-nlp-support@lists.stanford.edu
-//    http://nlp.stanford.edu/software/
-
-package edu.stanford.nlp.stats;
-
-import java.io.BufferedInputStream;
-import java.io.BufferedOutputStream;
-import java.io.BufferedReader;
-import java.io.FileInputStream;
-import java.io.FileOutputStream;
-import java.io.FileWriter;
-import java.io.IOException;
-import java.io.ObjectInputStream;
-import java.io.ObjectOutputStream;
-import java.io.OutputStream;
-import java.io.PrintStream;
-import java.io.PrintWriter;
-import java.lang.reflect.Constructor;
-import java.text.NumberFormat;
-import java.util.AbstractCollection;
-import java.util.AbstractMap;
-import java.util.AbstractSet;
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.Collections;
-import java.util.Comparator;
-import java.util.HashMap;
-import java.util.HashSet;
-import java.util.Iterator;
-import java.util.List;
-import java.util.Map;
-import java.util.Random;
-import java.util.Set;
-import java.util.Map.Entry;
-import java.util.regex.Pattern;
-
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.math.SloppyMath;
-import edu.stanford.nlp.util.BinaryHeapPriorityQueue;
-import edu.stanford.nlp.util.CollectionUtils;
-import edu.stanford.nlp.util.ErasureUtils;
-import edu.stanford.nlp.util.Factory;
-import edu.stanford.nlp.util.FixedPrioritiesPriorityQueue;
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.PriorityQueue;
-import edu.stanford.nlp.util.Sets;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.StringUtils;
-
-
-/**
- * Static methods for operating on {@link Counter}s.
- * <p>
- * All methods that change their arguments change the <i>first</i> argument
- * (only), and have "InPlace" in their name.
- * This class also provides access
- * to Comparators that can be used to sort the keys or entries of this Counter
- * by the counts, in either ascending or descending order.
- *
- * @author Galen Andrew (galand@cs.stanford.edu)
- * @author Jeff Michels (jmichels@stanford.edu)
- * @author dramage
- * @author daniel cer (http://dmcer.net)
- * @author Christopher Manning
- * @author stefank (Optimized dot product)
- */
-public class Counters {
-
-  private static final double LOG_E_2 = Math.log(2.0);
-
-  private Counters() {} // only static methods
-
-  //
-  // Log arithmetic operations
-  //
-
-  /**
-   * Returns ArrayMath.logSum of the values in this counter.
-   *
-   * @param c Argument counter (which is not modified)
-   * @return ArrayMath.logSum of the values in this counter.
-   */
-  public static <E> double logSum(Counter<E> c) {
-    return ArrayMath.logSum(ArrayMath.unbox(c.values()));
-  }
-
-  /** Transform log space values into a probability distribution in place.
-   *  On the assumption that the values in the Counter are in log space,
-   *  this method calculates their sum, and then subtracts the log of
-   *  their sum from each element.  That is, if a counter has keys
-   *  c1, c2, c3 with values v1, v2, v3, the value of c1 becomes
-   *  v1 - log(e^v1 + e^v2 + e^v3).  After this, e^v1 + e^v2 + e^v3 = 1.0,
-   *  so Counters.logSum(c) = 0.0 (approximately).
-   *
-   *  @param c The Counter to log normalize in place
-   */
-  @SuppressWarnings({"UnnecessaryUnboxing"})
-  public static <E> void logNormalizeInPlace(Counter<E> c) {
-    double logsum = logSum(c);
-    // for (E key : c.keySet()) {
-    //   c.incrementCount(key, -logsum);
-    // }
-    // This should be faster
-    for (Map.Entry<E,Double> e : c.entrySet()) {
-      e.setValue(e.getValue().doubleValue() - logsum);
-    }
-  }
-
-  //
-  // Query operations
-  //
-
-
-  /**
-   * Returns the value of the maximum entry in this counter.
-   * This is also the Linfinity norm.
-   * An empty counter is given a max value of Double.NEGATIVE_INFINITY.
-   *
-   * @param c The Counter to find the max of
-   * @return The maximum value of the Counter
-   */
-  public static <E> double max(Counter<E> c) {
-    double max = Double.NEGATIVE_INFINITY;
-    for (double v : c.values()) {
-      max = Math.max(max, v);
-    }
-    return max;
-  }
-
-  /**
-   * Takes in a Collection of something and makes a counter, incrementing once
-   * for each object in the collection.
-   *
-   * @param c The Collection to turn into a counter
-   * @return The counter made out of the collection
-   */
-  public static <E> Counter<E> asCounter(Collection<E> c) {
-    Counter<E> count = new ClassicCounter<E>();
-    for(E elem: c){
-      count.incrementCount(elem);
-    }
-    return count;
-  }
-
-
-  /**
-   * Returns the value of the smallest entry in this counter.
-   *
-   * @param c The Counter (not modified)
-   * @return The minimum value in the Counter
-   */
-  public static <E> double min(Counter<E> c) {
-    double min = Double.POSITIVE_INFINITY;
-    for (double v : c.values()) {
-      min = Math.min(min, v);
-    }
-    return min;
-  }
-
-  /**
-   * Finds and returns the key in the Counter with the largest count.
-   * Returning null if count is empty.
-   *
-   * @param c The Counter
-   * @return The key in the Counter with the largest count.
-   */
-  public static <E> E argmax(Counter<E> c) {
-    double max = Double.NEGATIVE_INFINITY;
-    E argmax = null;
-    for (E key : c.keySet()) {
-      double count = c.getCount(key);
-      if (argmax == null || count > max) {// || (count == max && tieBreaker.compare(key, argmax) < 0)) {
-        max = count;
-        argmax = key;
-      }
-    }
-    return argmax;
-  }
-
-  /**
-   * Finds and returns the key in this Counter with the smallest count.
-   *
-   * @param c The Counter
-   * @return The key in the Counter with the smallest count.
-   */
-  public static <E> E argmin(Counter<E> c) {
-    double min = Double.POSITIVE_INFINITY;
-    E argmin = null;
-
-    for (E key : c.keySet()) {
-      double count = c.getCount(key);
-      if (argmin == null || count < min) {// || (count == min && tieBreaker.compare(key, argmin) < 0)) {
-        min = count;
-        argmin = key;
-      }
-    }
-    return argmin;
-  }
-
-
-  /**
-   * Finds and returns the key in the Counter with the largest count.
-   * Returning null if count is empty.
-   *
-   * @param c The Counter
-   * @return The key in the Counter with the largest count.
-   */
-  public static <E> E argmax(Counter<E> c, Comparator<E> tieBreaker) {
-    double max = Double.NEGATIVE_INFINITY;
-    E argmax = null;
-    for (E key : c.keySet()) {
-      double count = c.getCount(key);
-      if (argmax == null || count > max || (count == max && tieBreaker.compare(key, argmax) < 0)) {
-        max = count;
-        argmax = key;
-      }
-    }
-    return argmax;
-  }
-
-  /**
-   * Finds and returns the key in this Counter with the smallest count.
-   *
-   * @param c The Counter
-   * @return The key in the Counter with the smallest count.
-   */
-  public static <E> E argmin(Counter<E> c, Comparator<E> tieBreaker) {
-    double min = Double.POSITIVE_INFINITY;
-    E argmin = null;
-
-    for (E key : c.keySet()) {
-      double count = c.getCount(key);
-      if (argmin == null || count < min || (count == min && tieBreaker.compare(key, argmin) < 0)) {
-        min = count;
-        argmin = key;
-      }
-    }
-    return argmin;
-  }
-
-
-  /**
-   * Returns the mean of all the counts (totalCount/size).
-   *
-   * @param c The Counter to find the mean of.
-   * @return The mean of all the counts (totalCount/size).
-   */
-  public static <E> double mean(Counter<E> c) {
-    return c.totalCount() / c.size();
-  }
-
-  //
-  // In-place arithmetic
-  //
-
-  /**
-   * Sets each value of target to be target[k]+scale*arg[k] for
-   * all keys k in target.
-   *
-   * @param target A Counter that is modified
-   * @param arg The Counter whose contents are added to target
-   * @param scale How the arg Counter is scaled before being added
-   */
-  // TODO: Rewrite to use arg.entrySet()
-  public static <E> void addInPlace(Counter<E> target, Counter<E> arg, double scale) {
-    for (E key : arg.keySet()) {
-      target.incrementCount(key, scale * arg.getCount(key));
-    }
-  }
-
-  /**
-   * Sets each value of target to be target[k]+arg[k] for all keys k in arg.
-   */
-  public static <E> void addInPlace(Counter<E> target, Counter<E> arg) {
-    for (Map.Entry<E, Double> entry : arg.entrySet()) {
-      double count = entry.getValue();
-      if (count != 0) {
-        target.incrementCount(entry.getKey(), count);
-      }
-    }
-  }
-
-  /**
-   * Sets each value of double[] target to be target[idx.indexOf(k)]+a.getCount(k) for all keys k in arg
-   *
-   */
-  public static <E> void addInPlace(double[] target, Counter<E> arg, Index<E> idx) {
-    for (Map.Entry<E, Double> entry : arg.entrySet()) {
-      target[idx.indexOf(entry.getKey())] += entry.getValue();
-    }
-  }
-
-  /**
-   * For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + scale * arg[u,v]
-   * @param <T1>
-   * @param <T2>
-   */
-  public static <T1, T2> void addInPlace(TwoDimensionalCounter<T1, T2> target, TwoDimensionalCounter<T1, T2> arg, double scale) {
-    for (T1 outer : arg.firstKeySet())
-      for (T2 inner : arg.secondKeySet()) {
-        target.incrementCount(outer, inner, scale * arg.getCount(outer, inner));
-      }
-  }
-
-  /**
-   * For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + arg[u,v]
-   * @param <T1>
-   * @param <T2>
-   */
-  public static <T1, T2> void addInPlace(TwoDimensionalCounter<T1, T2> target, TwoDimensionalCounter<T1, T2> arg) {
-    for (T1 outer : arg.firstKeySet())
-      for (T2 inner : arg.secondKeySet()) {
-        target.incrementCount(outer, inner, arg.getCount(outer, inner));
-      }
-  }
-
-  /**
-   * Sets each value of target to be target[k]+ num-of-times-it-occurs-in-collection if the key is present in the arg collection.
-   */
-  public static <E> void addInPlace(Counter<E> target, Collection<E> arg) {
-    for (E key : arg) {
-      target.incrementCount(key, 1);
-    }
-  }
-
-  /**
-   * Sets each value of target to be target[k]-arg[k] for all keys k in target.
-   */
-  public static <E> void subtractInPlace(Counter<E> target, Counter<E> arg) {
-    for (E key : arg.keySet()) {
-      target.decrementCount(key, arg.getCount(key));
-    }
-  }
-
-  /**
-   * Sets each value of double[] target to be target[idx.indexOf(k)]-a.getCount(k) for all keys k in arg
-   *
-   */
-  public static <E> void subtractInPlace(double[] target, Counter<E> arg, Index<E> idx) {
-    for (Map.Entry<E, Double> entry : arg.entrySet()) {
-      target[idx.indexOf(entry.getKey())] -= entry.getValue();
-    }
-  }
-  /**
-   * Divides every non-zero count in target by the corresponding value in
-   * the denominator Counter.  Beware that this can give NaN values for zero
-   * counts in the denominator counter!
-   */
-  public static <E> void divideInPlace(Counter<E> target, Counter<E> denominator) {
-    for (E key : target.keySet()) {
-      target.setCount(key, target.getCount(key) / denominator.getCount(key));
-    }
-  }
-
-  /**
-   * Multiplies every count in target by the corresponding value in
-   * the term Counter.
-   */
-  public static <E> void dotProductInPlace(Counter<E> target, Counter<E> term) {
-    for (E key : target.keySet()) {
-      target.setCount(key, target.getCount(key) * term.getCount(key));
-    }
-  }
-
-  /**
-   * Divides each value in target by the given divisor, in place.
-   *
-   * @param target The values in this Counter will be changed throught by
-   *     the multiplier
-   * @param divisor The number by which to change each number in the
-   *     Counter
-   * @return The target Counter is returned (for easier method chaining)
-   */
-  public static <E> Counter<E> divideInPlace(Counter<E> target, double divisor) {
-    for (Entry<E, Double> entry : target.entrySet()) {
-      target.setCount(entry.getKey(), entry.getValue() / divisor);
-    }
-    return target;
-  }
-
-
-  /**
-   * Multiplies each value in target by the given multiplier, in place.
-   *
-   * @param target The values in this Counter will be changed throught by
-   *     the multiplier
-   * @param multiplier The number by which to change each number in the
-   *     Counter
-   */
-  public static <E> Counter<E> multiplyInPlace(Counter<E> target, double multiplier) {
-    for (Entry<E, Double> entry : target.entrySet()) {
-      target.setCount(entry.getKey(), entry.getValue() * multiplier);
-    }
-    return target;
-  }
-
-
-  /**
-   * Normalizes the target counter in-place, so the sum of the
-   * resulting values equals 1.
-   * @param <E>
-   */
-  public static <E> void normalize(Counter<E> target) {
-    multiplyInPlace(target, 1.0 / target.totalCount());
-  }
-
-  public static <E> void logInPlace(Counter<E> target) {
-    for(E key : target.keySet()) {
-      target.setCount(key,Math.log(target.getCount(key)));
-    }
-  }
-
-  //
-  // Selection Operators
-  //
-
-  /**
-   * Delete 'top' and 'bottom' number of elements from the top and bottom respectively
-   */
-  public static <E> List<E> deleteOutofRange(Counter<E> c, int top, int bottom) {
-
-    List<E> purgedItems = new ArrayList<E>();
-    int numToPurge = top + bottom;
-    if (numToPurge <=0) {
-      return purgedItems;
-    }
-
-    List<E> l = Counters.toSortedList(c);
-    for (int i= 0; i < top; i++) {
-      E item = l.get(i);
-      purgedItems.add(item);
-      c.remove(item);
-    }
-    int size = c.size();
-    for(int i = c.size()-1; i >= (size - bottom ) ; i-- ){
-      E item = l.get(i);
-      purgedItems.add(item);
-      c.remove(item);
-      }
-    return purgedItems;
-  }
-
-
-  /**
-   * Removes all entries from c except for the top <code>num</code>
-   */
-  public static <E> void retainTop(Counter<E> c, int num) {
-    int numToPurge = c.size()-num;
-    if (numToPurge <=0) {
-      return;
-    }
-
-    List<E> l = Counters.toSortedList(c);
-    Collections.reverse(l);
-    for (int i=0; i<numToPurge; i++) {
-      c.remove(l.get(i));
-    }
-  }
-
-  /**
-   * Removes all entries from c except for the top <code>num</code>
-   */
-  public static <E extends Comparable> void retainTopKeyComparable(Counter<E> c, int num) {
-    int numToPurge = c.size()-num;
-    if (numToPurge <=0) {
-      return;
-    }
-
-    List<E> l = Counters.toSortedListKeyComparable(c);
-    Collections.reverse(l);
-    for (int i=0; i<numToPurge; i++) {
-      c.remove(l.get(i));
-    }
-  }
-
-
-  /**
-   * Removes all entries from c except for the bottom <code>num</code>
-   */
-  public static <E> void retainBottom(Counter<E> c, int num) {
-    int numToPurge = c.size()-num;
-    if (numToPurge <=0) {
-      return;
-    }
-
-    List<E> l = Counters.toSortedList(c);
-    for (int i=0; i<numToPurge; i++) {
-      c.remove(l.get(i));
-    }
-  }
-
-  /**
-   * Removes all entries with 0 count in the counter, returning the
-   * set of removed entries.
-   */
-  public static <E> Set<E> retainNonZeros(Counter<E> counter) {
-    Set<E> removed = new HashSet<E>();
-    for (E key : counter.keySet()) {
-      if (counter.getCount(key) == 0.0) {
-        removed.add(key);
-      }
-    }
-    for (E key : removed) {
-      counter.remove(key);
-    }
-    return removed;
-  }
-
-  /**
-   * Removes all entries with counts below the given threshold, returning the
-   * set of removed entries.
-   *
-   * @param counter         The counter.
-   * @param countThreshold  The minimum count for an entry to be kept. Entries
-   *                        (strictly) less than this threshold are discarded.
-   * @return                The set of discarded entries.
-   */
-  public static <E> Set<E> retainAbove(Counter<E> counter, double countThreshold) {
-    Set<E> removed = new HashSet<E>();
-    for (E key : counter.keySet()) {
-      if (counter.getCount(key) < countThreshold) {
-        removed.add(key);
-      }
-    }
-    for (E key: removed) {
-      counter.remove(key);
-    }
-    return removed;
-  }
-
-
-  /**
-   * Removes all entries with counts above the given threshold, returning the
-   * set of removed entries.
-   *
-   * @param counter         The counter.
-   * @param countMaxThreshold  The maximum count for an entry to be kept. Entries
-   *                        (strictly) more than this threshold are discarded.
-   * @return                The set of discarded entries.
-   */
-  public static <E> Set<E> retainBelow(Counter<E> counter, double countMaxThreshold) {
-    Set<E> removed = new HashSet<E>();
-    for (E key : counter.keySet()) {
-      if (counter.getCount(key) > countMaxThreshold) {
-        removed.add(key);
-      }
-    }
-    for (E key: removed) {
-      counter.remove(key);
-    }
-    return removed;
-  }
-
-  /**
-   * Removes all entries with keys that does not match one of the given patterns
-   * @param counter         The counter.
-   * @param matchPatterns pattern for key to match
-   * @return                The set of discarded entries.
-   */
-  public static Set<String> retainMatchingKeys(Counter<String> counter, List<Pattern> matchPatterns) {
-    Set<String> removed = new HashSet<String>();
-    for(String key: counter.keySet()) {
-      boolean matched = false;
-      for (Pattern pattern:matchPatterns) {
-        if (pattern.matcher(key).matches()) {
-          matched = true;
-          break;
-        }
-      }
-      if (!matched) {
-        removed.add(key);
-      }
-    }
-    for (String key:removed) {
-      counter.remove(key);
-    }
-    return removed;
-  }
-
-  /**
-   * Removes all entries with keys that does not match the given set of keys
-   * @param counter         The counter.
-   * @param matchKeys       Keys to match
-   * @return                The set of discarded entries.
-   */
-  public static Set<String> retainKeys(Counter<String> counter, Collection<String> matchKeys) {
-    Set<String> removed = new HashSet<String>();
-    for(String key: counter.keySet()) {
-      boolean matched = matchKeys.contains(key);
-      if (!matched) {
-        removed.add(key);
-      }
-    }
-    for (String key:removed) {
-      counter.remove(key);
-    }
-    return removed;
-  }
-
-  /**
-   * Removes all entries with keys in the given collection
-   * @param <E>
-   * @param counter
-   * @param removeKeysCollection
-   */
-  public static <E> void removeKeys(Counter<E> counter, Collection<E> removeKeysCollection){
-
-      for(E key: removeKeysCollection)
-        counter.remove(key);
-  }
-
-  /**
-   * Returns the set of keys whose counts are at or above the given threshold.
-   * This set may have 0 elements but will not be null.
-   *
-   * @param c The Counter to examine
-   * @param countThreshold Items equal to or above this number are kept
-   * @return A (non-null) Set of keys whose counts are at or above the given
-   *     threshold.
-   */
-  public static <E> Set<E> keysAbove(Counter<E> c, double countThreshold) {
-    Set<E> keys = new HashSet<E>();
-    for (E key : c.keySet()) {
-      if (c.getCount(key) >= countThreshold) {
-        keys.add(key);
-      }
-    }
-    return (keys);
-  }
-
-  /**
-   * Returns the set of keys whose counts are at or below the given threshold.
-   * This set may have 0 elements but will not be null.
-   */
-  public static <E> Set<E> keysBelow(Counter<E> c, double countThreshold) {
-    Set<E> keys = new HashSet<E>();
-    for (E key : c.keySet()) {
-      if (c.getCount(key) <= countThreshold) {
-        keys.add(key);
-      }
-    }
-    return (keys);
-  }
-
-  /**
-   * Returns the set of keys that have exactly the given count.
-   * This set may have 0 elements but will not be null.
-   */
-  public static <E> Set<E> keysAt(Counter<E> c, double count) {
-    Set<E> keys = new HashSet<E>();
-    for (E key : c.keySet()) {
-      if (c.getCount(key) == count) {
-        keys.add(key);
-      }
-    }
-    return (keys);
-  }
-
-
-  //
-  // Transforms
-  //
-
-  /**
-    * Returns the counter with keys modified according to function F. Eager evaluation.
-    */
-  public static <T1,T2> Counter<T2> transform(Counter<T1> c, Function<T1,T2> f) {
-     Counter<T2> c2 = new ClassicCounter<T2>();
-     for(T1 key : c.keySet()) {
-        c2.setCount(f.apply(key),c.getCount(key));
-     }
-     return c2;
-  }
-
-
-  //
-  // Conversion to other types
-  //
-
-  /**
-   * Returns a comparator backed by this counter: two objects are compared
-   * by their associated values stored in the counter.
-   * This comparator returns keys by ascending numeric value.
-   * Note that this ordering
-   * is not fixed, but depends on the mutable values stored in the Counter.
-   * Doing this comparison does not depend on the type of the key, since it
-   * uses the numeric value, which is always Comparable.
-   *
-   * @param counter The Counter whose values are used for ordering the keys
-   * @return A Comparator using this ordering
-   */
-  public static <E> Comparator<E> toComparator(final Counter<E> counter) {
-    return new Comparator<E>() {
-      public int compare(E o1, E o2) {
-        return Double.compare(counter.getCount(o1), counter.getCount(o2));
-      }
-    };
-  }
-
-  /**
-   * Returns a comparator backed by this counter: two objects are compared
-   * by their associated values stored in the counter.
-   * This comparator returns keys by ascending numeric value.
-   * Note that this ordering
-   * is not fixed, but depends on the mutable values stored in the Counter.
-   * Doing this comparison does not depend on the type of the key, since it
-   * uses the numeric value, which is always Comparable.
-   *
-   * @param counter The Counter whose values are used for ordering the keys
-   * @return A Comparator using this ordering
-   */
-  public static <E extends Comparable<E>> Comparator<E> toComparatorWithKeys(final Counter<E> counter) {
-    return new Comparator<E>() {
-      public int compare(E o1, E o2) {
-        int res = Double.compare(counter.getCount(o1), counter.getCount(o2));
-        if (res == 0) {
-          return o1.compareTo(o2);
-        } else {
-          return res;
-        }
-      }
-    };
-  }
-
-  /**
-   * Returns a comparator backed by this counter: two objects are compared
-   * by their associated values stored in the counter.
-   * This comparator returns keys by descending numeric value.
-   * Note that this ordering
-   * is not fixed, but depends on the mutable values stored in the Counter.
-   * Doing this comparison does not depend on the type of the key, since it
-   * uses the numeric value, which is always Comparable.
-   *
-   * @param counter The Counter whose values are used for ordering the keys
-   * @return A Comparator using this ordering
-   */
-  public static <E> Comparator<E> toComparatorDescending(final Counter<E> counter) {
-    return new Comparator<E>() {
-      public int compare(E o1, E o2) {
-        return Double.compare(counter.getCount(o2), counter.getCount(o1));
-      }
-    };
-  }
-
-  /**
-   * Returns a comparator suitable for sorting this Counter's keys or entries
-   * by their respective value or magnitude (by absolute value).
-   * If <tt>ascending</tt> is true, smaller magnitudes will
-   * be returned first, otherwise higher magnitudes will be returned first.
-   * <p/>
-   * Sample usage:
-   * <pre>
-   * Counter c = new Counter();
-   * // add to the counter...
-   * List biggestKeys = new ArrayList(c.keySet());
-   * Collections.sort(biggestAbsKeys, Counters.comparator(c, false, true));
-   * List smallestEntries = new ArrayList(c.entrySet());
-   * Collections.sort(smallestEntries, Counters.comparator(c, true, false));
-   * </pre>
-   */
-  public static <E> Comparator<E> toComparator(final Counter<E> counter,
-                                               final boolean ascending,
-                                               final boolean useMagnitude) {
-    return new Comparator<E>() {
-      public int compare(E o1, E o2) {
-        if (ascending) {
-          if (useMagnitude) {
-            return Double.compare(Math.abs(counter.getCount(o1)), Math.abs(counter.getCount(o2)));
-          } else {
-            return Double.compare(counter.getCount(o1), counter.getCount(o2));
-          }
-        } else {
-          // Descending
-          if (useMagnitude) {
-            return Double.compare(Math.abs(counter.getCount(o2)), Math.abs(counter.getCount(o1)));
-          } else {
-            return Double.compare(counter.getCount(o2), counter.getCount(o1));
-          }
-        }
-      }
-    };
-  }
-
-  /**
-   *  A List of the keys in c, sorted from highest count to lowest.
-   *
-   * @return A List of the keys in c, sorted from highest count to lowest.
-   */
-  public static <E> List<E> toSortedList(Counter<E> c) {
-    List<E> l = new ArrayList<E>(c.keySet());
-    Collections.sort(l, toComparator(c));
-    Collections.reverse(l);
-    return l;
-  }
-
-  /**
-   *  A List of the keys in c, sorted from highest count to lowest.
-   *
-   * @return A List of the keys in c, sorted from highest count to lowest.
-   */
-  public static <E extends Comparable> List<E> toSortedListKeyComparable(Counter<E> c) {
-    List<E> l = new ArrayList<E>(c.keySet());
-    Collections.sort(l, toComparatorWithKeys(c));
-    Collections.reverse(l);
-    return l;
-  }
-
-  /**
-   * Converts a counter to ranks
-   *
-   * @return A counter where the count is the rank in the original counter
-   */
-  public static <E> IntCounter<E> toRankCounter(Counter<E> c) {
-    IntCounter<E> rankCounter = new IntCounter<E>();
-    List<E> sortedList = toSortedList(c);
-    for (int i = 0; i < sortedList.size(); i++) {
-      rankCounter.setCount(sortedList.get(i), i);
-    }
-    return rankCounter;
-  }
-
-  public static <E> List<Pair<E,Double>> toDescendingMagnitudeSortedListWithCounts(Counter<E> c) {
-    List<E> keys = new ArrayList<E>(c.keySet());
-    Collections.sort(keys, toComparator(c, false, true));
-    List<Pair<E,Double>> l = new ArrayList<Pair<E,Double>>(keys.size());
-
-    for (E key : keys) {
-      l.add(new Pair<E,Double>(key, c.getCount(key)));
-    }
-
-    return l;
-  }
-
-  /**
-   * A List of the keys in c, sorted from highest count to lowest, paired with counts
-   *
-   * @return A List of the keys in c, sorted from highest count to lowest.
-   */
-  public static <E> List<Pair<E,Double>> toSortedListWithCounts(Counter<E> c) {
-    List<Pair<E,Double>> l = new ArrayList<Pair<E, Double>>(c.size());
-    for(E e: c.keySet()) {
-      l.add(new Pair<E,Double>(e,c.getCount(e)));
-    }
-    // descending order
-    Collections.sort(l, new Comparator<Pair<E,Double>>() {
-      public int compare(Pair<E,Double> a, Pair<E,Double> b) {
-        return Double.compare(b.second,a.second);
-      }
-    });
-    return l;
-  }
-
-
-  /**
-   * Returns a {@link edu.stanford.nlp.util.PriorityQueue} whose elements
-   * are the keys of Counter c,
-   * and the score of each key in c becomes its priority.
-   *
-   * @param c Input Counter
-   * @return A PriorityQueue where the count is a key's priority
-   */
-  // TODO: rewrite to use entrySet()
-  public static <E> edu.stanford.nlp.util.PriorityQueue<E> toPriorityQueue(Counter<E> c) {
-    edu.stanford.nlp.util.PriorityQueue<E> queue = new BinaryHeapPriorityQueue<E>();
-    for (E key : c.keySet()) {
-      double count = c.getCount(key);
-      queue.add(key, count);
-    }
-    return queue;
-  }
-
-
-  //
-  // Other Utilities
-  //
-
-  /**
-   * Returns a Counter that is the union of the two Counters passed in (counts are added).
-   *
-   * @return A Counter that is the union of the two Counters passed in (counts are added).
-   */
-  @SuppressWarnings("unchecked")
-  public static <E, C extends Counter<E>> C union(C c1, C c2) {
-    C result = (C)c1.getFactory().create();
-    addInPlace(result, c1);
-    addInPlace(result, c2);
-    return result;
-  }
-
-  /**
-   * Returns a counter that is the intersection of c1 and c2.  If both c1 and c2 contain a
-   * key, the min of the two counts is used.
-   *
-   * @return A counter that is the intersection of c1 and c2
-   */
-  public static <E> Counter<E> intersection(Counter<E> c1, Counter<E> c2) {
-    Counter<E> result = c1.getFactory().create();
-    for (E key : Sets.union(c1.keySet(), c2.keySet())) {
-      double count1 = c1.getCount(key);
-      double count2 = c2.getCount(key);
-      double minCount = (count1 < count2 ? count1 : count2);
-      if (minCount > 0) {
-        result.setCount(key, minCount);
-      }
-    }
-    return result;
-  }
-
-  /**
-   * Returns the Jaccard Coefficient of the two counters. Calculated as
-   * |c1 intersect c2| / ( |c1| + |c2| - |c1 intersect c2|
-   *
-   * @return The Jaccard Coefficient of the two counters
-   */
-  public static <E> double jaccardCoefficient(Counter<E> c1, Counter<E> c2) {
-    double minCount = 0.0, maxCount = 0.0;
-    for (E key : Sets.union(c1.keySet(), c2.keySet())) {
-      double count1 = c1.getCount(key);
-      double count2 = c2.getCount(key);
-      minCount += (count1 < count2 ? count1 : count2);
-      maxCount += (count1 > count2 ? count1 : count2);
-    }
-    return minCount / maxCount;
-  }
-
-  /**
-   * Returns the product of c1 and c2.
-   *
-   * @return The product of c1 and c2.
-   */
-  public static <E> Counter<E> product(Counter<E> c1, Counter<E> c2) {
-    Counter<E> result = c1.getFactory().create();
-    for (E key : Sets.intersection(c1.keySet(), c2.keySet())) {
-      result.setCount(key, c1.getCount(key) * c2.getCount(key));
-    }
-    return result;
-  }
-
-  /**
-   * Returns the product of c1 and c2.
-   *
-   * @return The product of c1 and c2.
-   */
-  public static <E> double dotProduct(Counter<E> c1, Counter<E> c2) {
-    double dotProd = 0.0;
-    if (c1.size() > c2.size()) {
-      Counter<E> tmpCnt = c1;
-      c1 = c2;
-      c2 = tmpCnt;
-    }
-    for (E key : c1.keySet()) {
-      double count1 = c1.getCount(key);
-      if (Double.isNaN(count1) || Double.isInfinite(count1)) {
-        throw new RuntimeException("Counters.dotProduct infinite or NaN value for key: " + key+ '\t' + c1.getCount(key) + '\t' + c2.getCount(key));
-      }
-      if (count1 != 0.0) {
-        double count2 = c2.getCount(key);
-        if (Double.isNaN(count2) || Double.isInfinite(count2)) {
-          throw new RuntimeException("Counters.dotProduct infinite or NaN value for key: " + key+ '\t' + c1.getCount(key) + '\t' + c2.getCount(key));
-        }
-        if (count2 != 0.0) {
-          // this is the inner product
-          dotProd += (count1 * count2);
-        }
-      }
-    }
-    return dotProd;
-  }
-
-
-  /**
-   * Returns the product of Counter c and double[] a, using Index idx to map entries in C onto a.
-   *
-   * @return The product of c and a.
-   */
-  public static <E> double dotProduct(Counter<E> c, double[] a, Index<E> idx) {
-    double dotProd = 0;
-    for (Map.Entry<E, Double> entry : c.entrySet()) {
-      int keyIdx = idx.indexOf(entry.getKey());
-      if (keyIdx == -1) {
-        continue;
-      }
-      dotProd += entry.getValue()*a[keyIdx];
-    }
-    return dotProd;
-  }
-
-  public static <E> double sumEntries(Counter<E> c1, Collection<E> entries) {
-    double dotProd = 0.0;
-    for (E entry : entries) {
-      dotProd += c1.getCount(entry);
-    }
-    return dotProd;
-  }
-
-  /**
-   * This method does not check entries for NAN or INFINITY values in the
-   * doubles returned. It also only iterates over the counter with the smallest
-   * number of keys to help speed up computation. Pair this method with
-   * normalizing your counters before hand and you have a reasonably quick
-   * implementation of cosine.
-   *
-   * @param <E>
-   * @param c1
-   * @param c2
-   * @return The dot product of the two counter (as vectors)
-   */
-  public static <E> double optimizedDotProduct(Counter<E> c1, Counter<E> c2) {
-    double dotProd = 0.0;
-    int size1 = c1.size();
-    int size2 = c2.size();
-    if (size1 < size2) {
-      for (E key : c1.keySet()) {
-        double count1 = c1.getCount(key);
-        if (count1 != 0.0) {
-          double count2 = c2.getCount(key);
-          if (count2 != 0.0)
-            dotProd += (count1 * count2);
-        }
-      }
-    } else {
-      for (E key : c2.keySet()) {
-        double count2 = c2.getCount(key);
-        if (count2 != 0.0) {
-          double count1 = c1.getCount(key);
-          if (count1 != 0.0)
-            dotProd += (count1 * count2);
-        }
-      }
-    }
-
-    return dotProd;
-  }
-
-  /**
-   * Returns |c1 - c2|.
-   *
-   * @return The difference between sets c1 and c2.
-   */
-  public static <E> Counter<E> absoluteDifference(Counter<E> c1, Counter<E> c2) {
-    Counter<E> result = c1.getFactory().create();
-    for (E key : Sets.union(c1.keySet(), c2.keySet())) {
-      double newCount = Math.abs(c1.getCount(key) - c2.getCount(key));
-      if (newCount > 0) {
-        result.setCount(key, newCount);
-      }
-    }
-    return result;
-  }
-
-  /**
-   * Returns c1 divided by c2.  Note that this can create NaN if c1 has non-zero counts for keys that
-   * c2 has zero counts.
-   *
-   * @return c1 divided by c2.
-   */
-  public static <E> Counter<E> division(Counter<E> c1, Counter<E> c2) {
-    Counter<E> result = c1.getFactory().create();
-    for (E key : Sets.union(c1.keySet(), c2.keySet())) {
-      result.setCount(key, c1.getCount(key) / c2.getCount(key));
-    }
-    return result;
-  }
-
-  /**
-   * Calculates the entropy of the given counter (in bits). This method internally
-   * uses normalized counts (so they sum to one), but the value returned is
-   * meaningless if some of the counts are negative.
-   *
-   * @return The entropy of the given counter (in bits)
-   */
-  public static <E> double entropy(Counter<E> c) {
-    double entropy = 0.0;
-    double total = c.totalCount();
-    for (E key : c.keySet()) {
-      double count = c.getCount(key);
-      if (count == 0) {
-        continue; // 0.0 doesn't add entropy but may cause -Inf
-      }
-      count /= total; // use normalized count
-      entropy -= count * (Math.log(count) / LOG_E_2);
-    }
-    return entropy;
-  }
-
-  /**
-   * Note that this implementation doesn't normalize the "from" Counter.
-   * It does, however, normalize the "to" Counter.
-   * Result is meaningless if any of the counts are negative.
-   *
-   * @return The cross entropy of H(from, to)
-   */
-  public static <E> double crossEntropy(Counter<E> from, Counter<E> to) {
-    double tot2 = to.totalCount();
-    double result = 0.0;
-    for (E key : from.keySet()) {
-      double count1 = from.getCount(key);
-      if (count1 == 0.0) {
-        continue;
-      }
-      double count2 = to.getCount(key);
-      double logFract = Math.log(count2 / tot2);
-      if (logFract == Double.NEGATIVE_INFINITY) {
-        return Double.NEGATIVE_INFINITY; // can't recover
-      }
-      result += count1 * (logFract / LOG_E_2); // express it in log base 2
-    }
-    return result;
-  }
-
-  /**
-   * Calculates the KL divergence between the two counters.
-   * That is, it calculates KL(from || to). This method internally
-   * uses normalized counts (so they sum to one), but the value returned is
-   * meaningless if any of the counts are negative.
-   * In other words, how well can c1 be represented by c2.
-   * if there is some value in c1 that gets zero prob in c2, then return positive infinity.
-   *
-   * @return The KL divergence between the distributions
-   */
-  public static <E> double klDivergence(Counter<E> from, Counter<E> to) {
-    double result = 0.0;
-    double tot = (from.totalCount());
-    double tot2 = (to.totalCount());
-    // System.out.println("tot is " + tot + " tot2 is " + tot2);
-    for (E key : from.keySet()) {
-      double num = (from.getCount(key));
-      if (num == 0) {
-        continue;
-      }
-      num /= tot;
-      double num2 = (to.getCount(key));
-      num2 /= tot2;
-      // System.out.println("num is " + num + " num2 is " + num2);
-      double logFract = Math.log(num / num2);
-      if (logFract == Double.NEGATIVE_INFINITY) {
-        return Double.NEGATIVE_INFINITY; // can't recover
-      }
-      result += num * (logFract / LOG_E_2); // express it in log base 2
-    }
-    return result;
-  }
-
-  /**
-   * Calculates the Jensen-Shannon divergence between the two counters.
-   * That is, it calculates 1/2 [KL(c1 || avg(c1,c2)) + KL(c2 || avg(c1,c2))] .
-   *
-   * @return The Jensen-Shannon divergence between the distributions
-   */
-  public static <E> double jensenShannonDivergence(Counter<E> c1, Counter<E> c2) {
-    Counter<E> average = average(c1, c2);
-    double kl1 = klDivergence(c1, average);
-    double kl2 = klDivergence(c2, average);
-    return (kl1 + kl2) / 2.0;
-  }
-
-  /**
-   * Calculates the skew divergence between the two counters.
-   * That is, it calculates KL(c1 || (c2*skew + c1*(1-skew))) .
-   * In other words, how well can c1 be represented by a "smoothed" c2.
-   *
-   * @return The skew divergence between the distributions
-   */
-  public static <E> double skewDivergence(Counter<E> c1, Counter<E> c2, double skew) {
-    Counter<E> average = linearCombination(c2, skew, c1, (1.0 - skew));
-    return klDivergence(c1, average);
-  }
-
-  /**
-   * Return the l2 norm (Euclidean vector length) of a Counter.
-   * <i>Implementation note:</i> The method name favors legibility of the
-   * L over the convention of using lowercase names for methods.
-   *
-   * @param c The Counter
-   * @return Its length
-   */
-  public static <E, C extends Counter<E>> double L2Norm(C c) {
-    double lenSq = 0.0;
-    for (E key : c.keySet()) {
-      double count = c.getCount(key);
-      if (count != 0.0) {
-        lenSq += (count * count);
-      }
-    }
-    return Math.sqrt(lenSq);
-  }
-
-  /**
-   * Return the L1 norm of a counter.
-   * <i>Implementation note:</i> The method name favors legibility of the
-   * L over the convention of using lowercase names for methods.
-   *
-   * @param c The Counter
-   * @return Its length
-   */
-  public static <E, C extends Counter<E>> double L1Norm(C c) {
-    double sumAbs = 0.0;
-    for (E key : c.keySet()) {
-      double count = c.getCount(key);
-      if (count != 0.0) {
-        sumAbs += Math.abs(count);
-      }
-    }
-    return sumAbs;
-  }
-
-  /** L2 normalize a counter.
-   *
-   * @param c The {@link Counter} to be L2 normalized.  This counter is
-   *   not modified.
-   * @return A new l2-normalized Counter based on c.
-   */
-  public static <E,C extends Counter<E>> C L2Normalize(C c) {
-    return scale(c, 1.0/ L2Norm(c));
-  }
-
-  /** L2 normalize a counter in place.
-  *
-  * @param c The {@link Counter} to be L2 normalized.  This counter is modified
-  * @return the passed in counter l2-normalized
-  */
- public static <E,C extends Counter<E>> Counter<E> L2NormalizeInPlace(Counter<E> c) {
-   return multiplyInPlace(c, 1.0/ L2Norm(c));
- }
-
-
-  /**
-   * For counters with large # of entries, this scales down each entry in the sum,
-   * to prevent an extremely large sum from building up and overwhelming the
-   * max double.  This may also help reduce error by preventing loss of SD's with
-   * extremely large values.
-   * @param <E>
-   * @param <C>
-   */
-  public static <E, C extends Counter<E>> double saferL2Norm(C c) {
-    double maxVal = 0.0;
-    for (E key : c.keySet()) {
-      double value = Math.abs(c.getCount(key));
-      if (value > maxVal)
-          maxVal = value;
-    }
-    double sqrSum = 0.0;
-    for (E key : c.keySet()) {
-      double count = c.getCount(key);
-      sqrSum += Math.pow(count/maxVal, 2);
-    }
-    return maxVal * Math.sqrt(sqrSum);
-  }
-
-  /** L2 normalize a counter, using the "safer" L2 normalizer.
-  *
-  * @param c The {@link Counter} to be L2 normalized.  This counter is
-  *   not modified.
-  * @return A new l2-normalized Counter based on c.
-  */
- public static <E,C extends Counter<E>> C saferL2Normalize(C c) {
-   return scale(c, 1.0/ saferL2Norm(c));
- }
-
-
-  public static <E> double cosine(Counter<E> c1, Counter<E> c2) {
-    double dotProd = 0.0;
-    double lsq1 = 0.0;
-    double lsq2 = 0.0;
-    for (E key : c1.keySet()) {
-      double count1 = c1.getCount(key);
-      if (count1 != 0.0) {
-        lsq1 += (count1 * count1);
-        double count2 = c2.getCount(key);
-        if (count2 != 0.0) {
-          // this is the inner product
-          dotProd += (count1 * count2);
-        }
-      }
-    }
-    for (E key : c2.keySet()) {
-      double count2 = c2.getCount(key);
-      if (count2 != 0.0) {
-        lsq2 += (count2 * count2);
-      }
-    }
-    if (lsq1 != 0.0 && lsq2 != 0.0) {
-      double denom = (Math.sqrt(lsq1) * Math.sqrt(lsq2));
-      return dotProd / denom;
-    }
-    return 0.0;
-  }
-
-  /**
-   * Returns a new Counter with counts averaged from the two given Counters.
-   * The average Counter will contain the union of keys in both
-   * source Counters, and each count will be the average of the two source
-   * counts for that key, where as usual a missing count in one Counter
-   * is treated as count 0.
-   *
-   * @return A new counter with counts that are the mean of the resp. counts
-   *         in the given counters.
-   */
-  public static <E> Counter<E> average(Counter<E> c1, Counter<E> c2) {
-    Counter<E> average = c1.getFactory().create();
-    Set<E> allKeys = new HashSet<E>(c1.keySet());
-    allKeys.addAll(c2.keySet());
-    for (E key : allKeys) {
-      average.setCount(key, (c1.getCount(key) + c2.getCount(key)) * 0.5);
-    }
-    return average;
-  }
-
-
-  /**
-   * Returns a Counter which is a weighted average of c1 and c2. Counts from c1
-   * are weighted with weight w1 and counts from c2 are weighted with w2.
-   */
-  public static <E> Counter<E> linearCombination(Counter<E> c1, double w1, Counter<E> c2, double w2) {
-    Counter<E> result = c1.getFactory().create();
-    for (E o : c1.keySet()) {
-      result.incrementCount(o, c1.getCount(o) * w1);
-    }
-    for (E o : c2.keySet()) {
-      result.incrementCount(o, c2.getCount(o) * w2);
-    }
-    return result;
-  }
-
-  public static <T1, T2> double pointwiseMutualInformation(
-      Counter<T1> var1Distribution,
-      Counter<T2> var2Distribution,
-      Counter<Pair<T1, T2>> jointDistribution,
-      Pair<T1, T2> values) {
-    double var1Prob = var1Distribution.getCount(values.first);
-    double var2Prob = var2Distribution.getCount(values.second);
-    double jointProb = jointDistribution.getCount(values);
-    double pmi = Math.log(jointProb) - Math.log(var1Prob) - Math.log(var2Prob);
-    return pmi / LOG_E_2;
-  }
-
-  /**
-   * Calculate h-Index (Hirsch, 2005) of an author.
-   *
-   * A scientist has index h if h of their Np papers have at least h citations each,
-   * and the other (Np − h) papers have at most h citations each.
-   *
-   * @param citationCounts Citation counts for each of the articles written by the
-   *                       author. The keys can be anything, but the values should
-   *                       be integers.
-   * @return               The h-Index of the author.
-   */
-  public static <E> int hIndex(Counter<E> citationCounts) {
-    Counter<Integer> countCounts = new ClassicCounter<Integer>();
-    for (double value: citationCounts.values()) {
-      for (int i = 0; i <= value; ++i) {
-        countCounts.incrementCount(i);
-      }
-    }
-    List<Integer> citationCountValues = CollectionUtils.sorted(countCounts.keySet());
-    Collections.reverse(citationCountValues);
-    for (int citationCount: citationCountValues) {
-      double occurrences = countCounts.getCount(citationCount);
-      if (occurrences >= citationCount) {
-        return citationCount;
-      }
-    }
-    return 0;
-  }
-
-  @SuppressWarnings("unchecked")
-  public static <E,C extends Counter<E>> C perturbCounts(C c, Random random, double p) {
-    C result = (C)c.getFactory().create();
-    for (E key : c.keySet()) {
-      double count = c.getCount(key);
-      double noise = -Math.log(1.0 - random.nextDouble()); // inverse of CDF for exponential distribution
-      //      System.err.println("noise=" + noise);
-      double perturbedCount = count + noise * p;
-      result.setCount(key, perturbedCount);
-    }
-    return result;
-  }
-
-  /**
-   * Great for debugging.
-   *
-   */
-  public static <E> void printCounterComparison(Counter<E> a, Counter<E> b) {
-    printCounterComparison(a, b, System.err);
-  }
-
-  /**
-   * Great for debugging.
-   *
-   */
-  public static <E> void printCounterComparison(Counter<E> a, Counter<E> b, PrintStream out) {
-    printCounterComparison(a, b, new PrintWriter(out, true));
-  }
-
-  /**
-   * Prints one or more lines (with a newline at the end) describing the difference
-   * between the two Counters. Great for debugging.
-   *
-   */
-  public static <E> void printCounterComparison(Counter<E> a, Counter<E> b, PrintWriter out) {
-    if (a.equals(b)) {
-      out.println("Counters are equal.");
-      return;
-    }
-    for (E key : a.keySet()) {
-      double aCount = a.getCount(key);
-      double bCount = b.getCount(key);
-      if (Math.abs(aCount - bCount) > 1e-5) {
-        out.println("Counters differ on key " + key + '\t' + a.getCount(key) + " vs. " + b.getCount(key));
-      }
-    }
-    // left overs
-    Set<E> rest = new HashSet<E>(b.keySet());
-    rest.removeAll(a.keySet());
-
-    for (E key : rest) {
-      double aCount = a.getCount(key);
-      double bCount = b.getCount(key);
-      if (Math.abs(aCount - bCount) > 1e-5) {
-        out.println("Counters differ on key " + key + '\t' + a.getCount(key) + " vs. " + b.getCount(key));
-      }
-    }
-  }
-
-  public static <E> Counter<Double> getCountCounts(Counter<E> c) {
-    Counter<Double> result = new ClassicCounter<Double>();
-    for (double v : c.values()) {
-      result.incrementCount(v);
-    }
-    return result;
-  }
-
-  /**
-   * Returns a new Counter which is scaled by the given scale factor.
-   *
-   * @param c The counter to scale. It is not changed
-   * @param s The constant to scale the counter by
-   * @return A new Counter which is the argument scaled by the given scale factor.
-   */
-  @SuppressWarnings("unchecked")
-  public static <E,C extends Counter<E>> C scale(C c, double s) {
-    C scaled = (C)c.getFactory().create();
-    for (E key : c.keySet()) {
-      scaled.setCount(key, c.getCount(key) * s);
-    }
-    return scaled;
-  }
-
-  /**
-   * Returns a new Counter which is the input counter with log tf scaling
-   *
-   * @param c The counter to scale. It is not changed
-   * @param base The base of the logarithm used for tf scaling by 1 + log tf
-   * @return A new Counter which is the argument scaled by the given scale factor.
-   */
-  @SuppressWarnings("unchecked")
-  public static <E,C extends Counter<E>> C tfLogScale(C c, double base) {
-    C scaled = (C) c.getFactory().create();
-    for (E key : c.keySet()) {
-      double cnt = c.getCount(key);
-      double scaledCnt = 0.0;
-      if (cnt > 0) {
-        scaledCnt = 1.0 + SloppyMath.log(cnt, base);
-      }
-      scaled.setCount(key, scaledCnt);
-    }
-    return scaled;
-  }
-
-
-  public static <E extends Comparable<E>> void printCounterSortedByKeys(Counter<E> c) {
-    List<E> keyList = new ArrayList<E>(c.keySet());
-    Collections.sort(keyList);
-    for (E o : keyList) {
-      System.out.println(o + ":" + c.getCount(o));
-    }
-  }
-
-  /**
-   * Loads a Counter from a text file. File must have the format of one key/count pair per line,
-   * separated by whitespace.
-   *
-   * @param filename the path to the file to load the Counter from
-   * @param c        the Class to instantiate each member of the set. Must have a String constructor.
-   * @return The counter loaded from the file.
-   */
-  public static <E> ClassicCounter<E> loadCounter(String filename, Class<E> c) throws RuntimeException {
-    ClassicCounter<E> counter = new ClassicCounter<E>();
-    loadIntoCounter(filename, c, counter);
-    return counter;
-  }
-
-  /**
-   * Loads a Counter from a text file. File must have the format of one key/count pair per line,
-   * separated by whitespace.
-   *
-   * @param filename the path to the file to load the Counter from
-   * @param c        the Class to instantiate each member of the set. Must have a String constructor.
-   * @return The counter loaded from the file.
-   */
-  public static <E> IntCounter<E> loadIntCounter(String filename, Class<E> c) throws Exception {
-    IntCounter<E> counter = new IntCounter<E>();
-    loadIntoCounter(filename, c, counter);
-    return counter;
-  }
-
-  /**
-   * Loads a file into an GenericCounter.
-   */
-  private static <E> void loadIntoCounter(String filename, Class<E> c, Counter<E> counter) throws RuntimeException {
-    try {
-      Constructor<E> m = c.getConstructor(String.class);
-      BufferedReader in = IOUtils.getBufferedFileReader(filename);//new BufferedReader(new FileReader(filename));
-      String line = in.readLine();
-      while (line != null && line.length() > 0) {
-        int endPos = Math.max(line.lastIndexOf(' '), line.lastIndexOf('\t'));
-
-        counter.setCount(
-            m.newInstance(line.substring(0, endPos).trim()),
-            Double.parseDouble(line.substring(endPos, line.length()).trim()));
-
-        line = in.readLine();
-      }
-      in.close();
-    } catch (Exception e) {
-      throw new RuntimeException(e);
-    }
-  }
-
-  /**
-   * Saves a Counter as one key/count pair per line separated by white space
-   * to the given OutputStream.  Does not close the stream.
-   */
-  public static <E> void saveCounter(Counter<E> c, OutputStream stream) {
-    PrintStream out = new PrintStream(stream);
-    for (E key : c.keySet()) {
-      out.println(key + " " + c.getCount(key));
-    }
-  }
-
-  /**
-   * Saves a Counter to a text file. Counter written as one key/count pair per line,
-   * separated by whitespace.
-   */
-  public static <E> void saveCounter(Counter<E> c, String filename) throws IOException {
-    FileOutputStream fos = new FileOutputStream(filename);
-    saveCounter(c, fos);
-    fos.close();
-  }
-
-  public static<T1, T2> TwoDimensionalCounter<T1, T2> load2DCounter(String filename, Class<T1> t1, Class <T2> t2) throws RuntimeException {
-    try {
-      TwoDimensionalCounter<T1,T2> tdc = new TwoDimensionalCounter<T1, T2>();
-      loadInto2DCounter(filename, t1, t2, tdc);
-      return tdc;
-    } catch (Exception e) {
-      throw new RuntimeException(e);
-    }
-  }
-
-  public static<T1, T2> void loadInto2DCounter(String filename, Class<T1> t1, Class <T2> t2,
-                                               TwoDimensionalCounter<T1, T2> tdc) throws RuntimeException {
-    try {
-      Constructor<T1> m1 = t1.getConstructor(String.class);
-      Constructor<T2> m2 = t2.getConstructor(String.class);
-      BufferedReader in = IOUtils.getBufferedFileReader(filename);//new BufferedReader(new FileReader(filename));
-      for (String line; (line = in.readLine()) != null; ) {
-        String[] tuple = line.trim().split("\t");
-        String outer = tuple[0]; String inner = tuple[1]; String valStr = tuple[2];
-        tdc.setCount(m1.newInstance(outer.trim()),
-                m2.newInstance(inner.trim()),
-                Double.parseDouble(valStr.trim()));
-      }
-      in.close();
-    } catch (Exception e) {
-      throw new RuntimeException(e);
-    }
-  }
-
-  public static<T1, T2> void loadIncInto2DCounter(String filename, Class<T1> t1, Class <T2> t2,
-                                                  TwoDimensionalCounter<T1, T2> tdc) throws RuntimeException {
-    try {
-      Constructor<T1> m1 = t1.getConstructor(String.class);
-      Constructor<T2> m2 = t2.getConstructor(String.class);
-      BufferedReader in = IOUtils.getBufferedFileReader(filename);//new BufferedReader(new FileReader(filename));
-      for (String line; (line = in.readLine()) != null; ) {
-        String[] tuple = line.trim().split("\t");
-        String outer = tuple[0]; String inner = tuple[1]; String valStr = tuple[2];
-        tdc.incrementCount(m1.newInstance(outer.trim()),
-                m2.newInstance(inner.trim()),
-                Double.parseDouble(valStr.trim()));
-      }
-      in.close();
-    } catch (Exception e) {
-      throw new RuntimeException(e);
-    }
-  }
-
-  public static<T1, T2> void save2DCounter(TwoDimensionalCounter<T1, T2> tdc, String filename) throws IOException {
-    PrintWriter out = new PrintWriter(new FileWriter(filename));
-    for (T1 outer : tdc.firstKeySet()) {
-      for (T2 inner : tdc.secondKeySet()) {
-        out.println(outer + "\t" + inner + '\t' +tdc.getCount(outer, inner));
-      }
-    }
-    out.close();
-  }
-
-  public static<T1, T2> void save2DCounterSorted(TwoDimensionalCounter<T1, T2> tdc, String filename) throws IOException {
-    PrintWriter out = new PrintWriter(new FileWriter(filename));
-    for (T1 outer : tdc.firstKeySet()) {
-      Counter c = tdc.getCounter(outer);
-      List<T2> keys = Counters.toSortedList(c);
-      for (T2 inner : keys) {
-        out.println(outer + "\t" + inner + '\t' + c.getCount(inner));
-      }
-    }
-    out.close();
-  }
-
-  public static <T> void serializeCounter(Counter<T> c, String filename) throws IOException {
-      // serialize to  file
-      ObjectOutputStream out = new ObjectOutputStream(new BufferedOutputStream(new FileOutputStream(filename)));
-      out.writeObject(c);
-      out.close();
-  }
-
-  public static <T> ClassicCounter<T> deserializeCounter(String filename) throws Exception {
-      // reconstitute
-      ObjectInputStream in = new ObjectInputStream(new BufferedInputStream(new FileInputStream(filename)));
-      ClassicCounter<T> c = ErasureUtils.<ClassicCounter<T>>uncheckedCast(in.readObject());
-      in.close();
-      return c;
-  }
-
-
-  /**
-   * Returns a string representation of a Counter, displaying the keys and
-   * their counts in decreasing order of count. At most k keys are displayed.
-   *
-   * Note that this method subsumes many of the other toString methods, e.g.:
-   *
-   * toString(c, k) and toBiggestValuesFirstString(c, k)
-   *   => toSortedString(c, k, "%s=%f", ", ", "[%s]")
-   *
-   * toVerticalString(c, k)
-   *   => toSortedString(c, k, "%2$g\t%1$s", "\n", "%s\n")
-   *
-   * @param counter       A Counter.
-   * @param k             The number of keys to include. Use Integer.MAX_VALUE to
-   *                      include all keys.
-   * @param itemFormat    The format string for key/count pairs, where the key is
-   *                      first and the value is second. To display the value first,
-   *                      use argument indices, e.g. "%2$f %1$s".
-   * @param joiner        The string used between pairs of key/value strings.
-   * @param wrapperFormat The format string for wrapping text around the joined items,
-   *                      where the joined item string value is "%s".
-   * @return              The top k values from the Counter, formatted as specified.
-   */
-  public static <T> String toSortedString(
-      Counter<T> counter, int k, String itemFormat, String joiner, String wrapperFormat) {
-    PriorityQueue<T> queue = toPriorityQueue(counter);
-    List<String> strings = new ArrayList<String>();
-    for (int rank = 0; rank < k && !queue.isEmpty(); ++rank) {
-      T key = queue.removeFirst();
-      double value = counter.getCount(key);
-      strings.add(String.format(itemFormat, key, value));
-    }
-    return String.format(wrapperFormat, StringUtils.join(strings, joiner));
-  }
-
-  /**
-   * Returns a string representation of a Counter, displaying the keys and
-   * their counts in decreasing order of count. At most k keys are displayed.
-   *
-   * @param counter       A Counter.
-   * @param k             The number of keys to include. Use Integer.MAX_VALUE to
-   *                      include all keys.
-   * @param itemFormat    The format string for key/count pairs, where the key is
-   *                      first and the value is second. To display the value first,
-   *                      use argument indices, e.g. "%2$f %1$s".
-   * @param joiner        The string used between pairs of key/value strings.
-   * @return              The top k values from the Counter, formatted as specified.
-   */
-  public static <T> String toSortedString(
-      Counter<T> counter, int k, String itemFormat, String joiner) {
-    return toSortedString(counter, k, itemFormat, joiner, "%s");
-  }
-
-  /**
-   * Returns a string representation of a Counter, where (key, value) pairs are
-   * sorted by key, and formatted as specified.
-   *
-   * @param counter       The Counter.
-   * @param itemFormat    The format string for key/count pairs, where the key is
-   *                      first and the value is second. To display the value first,
-   *                      use argument indices, e.g. "%2$f %1$s".
-   * @param joiner        The string used between pairs of key/value strings.
-   * @param wrapperFormat The format string for wrapping text around the joined items,
-   *                      where the joined item string value is "%s".
-   * @return              The Counter, formatted as specified.
-   */
-  public static <T extends Comparable<T>> String toSortedByKeysString(
-      Counter<T> counter, String itemFormat, String joiner, String wrapperFormat) {
-    List<String> strings = new ArrayList<String>();
-    for (T key: CollectionUtils.sorted(counter.keySet())) {
-      strings.add(String.format(itemFormat, key, counter.getCount(key)));
-    }
-    return String.format(wrapperFormat, StringUtils.join(strings, joiner));
-  }
-
-  /**
-   * Returns a string representation which includes no more than the
-   * maxKeysToPrint elements with largest counts. If maxKeysToPrint is
-   * non-positive, all elements are printed.
-   *
-   * @param counter The Counter
-   * @param maxKeysToPrint Max keys to print
-   * @return A partial string representation
-   */
-  public static <E> String toString(Counter<E> counter, int maxKeysToPrint) {
-    return Counters.toPriorityQueue(counter).toString(maxKeysToPrint);
-  }
-
-  public static <E> String toString(Counter<E> counter, NumberFormat nf) {
-    StringBuilder sb = new StringBuilder();
-    sb.append('{');
-    List<E> list = ErasureUtils.sortedIfPossible(counter.keySet());
-    //*/
-    for (Iterator<E> iter = list.iterator(); iter.hasNext();) {
-      E key = iter.next();
-      sb.append(key);
-      sb.append('=');
-      sb.append(nf.format(counter.getCount(key)));
-      if (iter.hasNext()) {
-        sb.append(", ");
-      }
-    }
-    sb.append('}');
-    return sb.toString();
-  }
-
-  /** Pretty print a Counter. This one has more flexibility in formatting,
-   *  and doesn't sort the keys.
-   */
-  public static <E> String toString(Counter<E> counter, NumberFormat nf,
-                         String preAppend, String postAppend,
-                         String keyValSeparator, String itemSeparator) {
-    StringBuilder sb = new StringBuilder();
-    sb.append(preAppend);
-    // List<E> list = new ArrayList<E>(map.keySet());
-    //     try {
-    //       Collections.sort(list); // see if it can be sorted
-    //     } catch (Exception e) {
-    //     }
-    for (Iterator<E> iter = counter.keySet().iterator(); iter.hasNext(); ) {
-      E key = iter.next();
-      double d = counter.getCount(key);
-      sb.append(key);
-      sb.append(keyValSeparator);
-      sb.append(nf.format(d));
-      if (iter.hasNext()) {
-        sb.append(itemSeparator);
-      }
-    }
-    sb.append(postAppend);
-    return sb.toString();
-  }
-
-
-  public static <E> String toBiggestValuesFirstString(Counter<E> c) {
-    return toPriorityQueue(c).toString();
-  }
-
-  // TODO this method seems badly written. It should exploit topK printing of PriorityQueue
-  public static <E> String toBiggestValuesFirstString(Counter<E> c, int k) {
-    PriorityQueue<E> pq = toPriorityQueue(c);
-    PriorityQueue<E> largestK = new BinaryHeapPriorityQueue<E>();
-    //TODO: Is there any reason the original (commented out) line is better than the one replacing it?
-//    while (largestK.size() < k && ((Iterator<E>)pq).hasNext()) {
-    while (largestK.size() < k && !pq.isEmpty()) {
-      double firstScore = pq.getPriority(pq.getFirst());
-      E first = pq.removeFirst();
-      largestK.changePriority(first, firstScore);
-    }
-    return largestK.toString();
-  }
-
-  public static <T> String toBiggestValuesFirstString(Counter<Integer> c, int k, Index<T> index) {
-    PriorityQueue<Integer> pq = toPriorityQueue(c);
-    PriorityQueue<T> largestK = new BinaryHeapPriorityQueue<T>();
-//    while (largestK.size() < k && ((Iterator)pq).hasNext()) { //same as above
-    while (largestK.size() < k && !pq.isEmpty()) {
-      double firstScore = pq.getPriority(pq.getFirst());
-      int first = pq.removeFirst();
-      largestK.changePriority(index.get(first), firstScore);
-    }
-    return largestK.toString();
-  }
-
-  public static <E> String toVerticalString(Counter<E> c) {
-    return toVerticalString(c, Integer.MAX_VALUE);
-  }
-
-  public static <E> String toVerticalString(Counter<E> c, int k) {
-    return toVerticalString(c, k, "%g\t%s", false);
-  }
-
-  public static <E> String toVerticalString(Counter<E> c, String fmt) {
-    return toVerticalString(c, Integer.MAX_VALUE, fmt, false);
-  }
-
-  public static <E> String toVerticalString(Counter<E> c, int k, String fmt) {
-    return toVerticalString(c, k, fmt, false);
-  }
-
-  /**
-   * Returns a <code>String</code> representation of the <code>k</code> keys
-   * with the largest counts in the given {@link Counter}, using the given
-   * format string.
-   *
-   * @param c a Counter
-   * @param k how many keys to print
-   * @param fmt a format string, such as "%.0f\t%s" (do not include final "%n")
-   * @param swap whether the count should appear after the key
-   */
-  public static <E> String toVerticalString(Counter<E> c, int k, String fmt, boolean swap) {
-    PriorityQueue<E> q = Counters.toPriorityQueue(c);
-    List<E> sortedKeys = q.toSortedList();
-    StringBuilder sb = new StringBuilder();
-    int i = 0;
-    for (Iterator<E> keyI = sortedKeys.iterator(); keyI.hasNext() && i < k; i++) {
-      E key = keyI.next();
-      double val = q.getPriority(key);
-      if (swap) {
-        sb.append(String.format(fmt, key, val));
-      } else {
-        sb.append(String.format(fmt, val, key));
-      }
-      if (keyI.hasNext()) {
-        sb.append('\n');
-      }
-    }
-    return sb.toString();
-  }
-
-  /**
-   *
-   * @return Returns the maximum element of c that is within the restriction Collection
-   */
-  public static <E> E restrictedArgMax(Counter<E> c, Collection<E> restriction) {
-    E maxKey = null;
-    double max = Double.NEGATIVE_INFINITY;
-    for (E key : restriction) {
-      double count = c.getCount(key);
-      if (count > max) {
-        max = count;
-        maxKey = key;
-      }
-    }
-    return maxKey;
-  }
-
-  public static <T> Counter<T> toCounter(double[] counts, Index<T> index) {
-    if (index.size()<counts.length) throw new IllegalArgumentException("Index not large enough to name all the array elements!");
-    Counter<T> c = new ClassicCounter<T>();
-    for (int i=0; i<counts.length; i++) {
-      if (counts[i]!=0.0) c.setCount(index.get(i), counts[i]);
-    }
-    return c;
-  }
-
-  /**
-   * Turns the given map and index into a counter instance.  For each entry
-   * in counts, its key is converted to a counter key via lookup in the given
-   * index.
-   */
-  public static <E> Counter<E> toCounter(
-      Map<Integer,? extends Number> counts, Index<E> index) {
-
-    Counter<E> counter = new ClassicCounter<E>();
-    for (Map.Entry<Integer,? extends Number> entry : counts.entrySet()) {
-      counter.setCount(index.get(entry.getKey()), entry.getValue().doubleValue());
-    }
-    return counter;
-  }
-
-  /**
-   * Creates a new TwoDimensionalCounter where all the counts are scaled by d.
-   * Internally, uses Counters.scale();
-   *
-   * @return The TwoDimensionalCounter
-   */
-  public static <T1, T2> TwoDimensionalCounter<T1, T2> scale(TwoDimensionalCounter<T1, T2> c, double d) {
-    TwoDimensionalCounter<T1, T2> result = new TwoDimensionalCounter<T1, T2>(c.getOuterMapFactory(), c.getInnerMapFactory());
-    for (T1 key : c.firstKeySet()) {
-      ClassicCounter<T2> ctr = c.getCounter(key);
-      result.setCounter(key, scale(ctr, d));
-    }
-    return result;
-  }
-
-  /**
-   * Does not assumes c is normalized.
-   * @return A sample from c
-   */
-  @SuppressWarnings("unchecked") // This is not good code, but what's there to be done? TODO
-  public static <T> T sample(Counter<T> c, Random rand) {
-    Iterable<T> objects;
-    Set<T> keySet = c.keySet();
-    objects = c.keySet();
-    if (rand == null) {
-      rand = new Random();
-    } else { //TODO: Seems like there should be a way to directly check if T is comparable
-      if (!keySet.isEmpty() && keySet.iterator().next() instanceof Comparable) {
-        List l = new ArrayList<T>(keySet);
-        Collections.sort(l);
-        objects = l;
-      }
-    }
-    double r = rand.nextDouble() * c.totalCount();
-    double total = 0.0;
-
-    for (T t : objects) { // arbitrary ordering
-      total += c.getCount(t);
-      if (total>=r) return t;
-    }
-    // only chance of reaching here is if c isn't properly normalized, or if double math makes total<1.0
-    return c.keySet().iterator().next();
-  }
-
-
-  /**
-   * Does not assumes c is normalized.
-   * @return A sample from c
-   */
-
-  public static <T> T sample(Counter<T> c) {
-    return sample(c, null);
-  }
-
-  /**
-   * Returns a counter where each element corresponds to the normalized
-   * count of the corresponding element in c raised to the given power.
-   */
-  public static <E> Counter<E> powNormalized(Counter<E> c, double temp) {
-    Counter<E> d = c.getFactory().create();
-    double total = c.totalCount();
-    for (E e : c.keySet()) {
-      d.setCount(e, Math.pow(c.getCount(e)/total, temp));
-    }
-    return d;
-  }
-
-  public static <T> Counter<T> pow(Counter<T> c, double temp) {
-    Counter<T> d = c.getFactory().create();
-    for (T t : c.keySet()) {
-      d.setCount(t, Math.pow(c.getCount(t), temp));
-    }
-    return d;
-  }
-
-  public static <T> void powInPlace(Counter<T> c, double temp) {
-    for (T t : c.keySet()) {
-      c.setCount(t, Math.pow(c.getCount(t), temp));
-    }
-  }
-
-  public static <T> Counter<T> exp(Counter<T> c) {
-    Counter<T> d = c.getFactory().create();
-    for (T t : c.keySet()) {
-      d.setCount(t, Math.exp(c.getCount(t)));
-    }
-    return d;
-  }
-
-  public static <T> void expInPlace(Counter<T> c) {
-    for (T t : c.keySet()) {
-      c.setCount(t, Math.exp(c.getCount(t)));
-    }
-  }
-
-  public static <T> Counter<T> diff(Counter<T> goldFeatures, Counter<T> guessedFeatures) {
-    Counter<T> result = goldFeatures.getFactory().create();
-    for (T key : Sets.union(goldFeatures.keySet(), guessedFeatures.keySet())) {
-      result.setCount(key, goldFeatures.getCount(key) - guessedFeatures.getCount(key));
-    }
-    retainNonZeros(result);
-    return result;
-  }
-
-  /**
-   * Default equality comparison for two counters potentially backed
-   * by alternative implementations.
-   */
-  public static <E> boolean equals(Counter<E> o1, Counter<E> o2) {
-    if (o1 == o2) { return true; }
-
-    if (o1.totalCount() != o2.totalCount()) { return false;  }
-
-    if (!o1.keySet().equals(o2.keySet())) { return false; }
-
-    for (E key : o1.keySet()) {
-      if (o1.getCount(key) != o2.getCount(key)) { return false; }
-    }
-
-    return true;
-  }
-
-  /**
-   * Returns unmodifiable view of the counter.  changes to the underlying Counter
-   * are written through to this Counter.
-   * @param counter The counter
-   * @return unmodifiable view of the counter
-   */
-  public static <T> Counter<T> unmodifiableCounter(final Counter<T> counter) {
-
-    return new AbstractCounter<T>() {
-
-      public void clear() {
-        throw new UnsupportedOperationException();
-      }
-
-      public boolean containsKey(T key) {
-        return counter.containsKey(key);
-      }
-
-      public double getCount(Object key) {
-        return counter.getCount(key);
-      }
-
-      public Factory<Counter<T>> getFactory() {
-        return counter.getFactory();
-      }
-
-      public double remove(T key) {
-        throw new UnsupportedOperationException();
-      }
-
-      public void setCount(T key, double value) {
-        throw new UnsupportedOperationException();
-      }
-
-      @Override
-      public double incrementCount(T key, double value) {
-        throw new UnsupportedOperationException();
-      }
-
-      @Override
-      public double incrementCount(T key) {
-        throw new UnsupportedOperationException();
-      }
-
-      @Override
-      public double logIncrementCount(T key, double value) {
-        throw new UnsupportedOperationException();
-      }
-
-      public int size() {
-        return counter.size();
-      }
-
-      public double totalCount() {
-        return counter.totalCount();
-      }
-
-      public Collection<Double> values() {
-        return counter.values();
-      }
-
-      public Set<T> keySet() {
-        return Collections.unmodifiableSet(counter.keySet());
-      }
-
-      public Set<Entry<T, Double>> entrySet() {
-        return Collections.unmodifiableSet(new AbstractSet<Map.Entry<T,Double>>() {
-          @Override
-          public Iterator<Entry<T, Double>> iterator() {
-            return new Iterator<Entry<T, Double>>() {
-              final Iterator<Entry<T, Double>> inner = counter.entrySet().iterator();
-
-              public boolean hasNext() {
-                return inner.hasNext();
-              }
-
-              public Entry<T, Double> next() {
-                return new Map.Entry<T,Double>() {
-                  final Entry<T,Double> e = inner.next();
-
-                  public T getKey() {
-                    return e.getKey();
-                  }
-
-                  @SuppressWarnings({"UnnecessaryBoxing", "UnnecessaryUnboxing"})
-                  public Double getValue() {
-                    return Double.valueOf(e.getValue().doubleValue());
-                  }
-
-                  public Double setValue(Double value) {
-                    throw new UnsupportedOperationException();
-                  }
-                };
-              }
-
-              public void remove() {
-                throw new UnsupportedOperationException();
-              }
-            };
-          }
-
-          @Override
-          public int size() {
-            return counter.size();
-          }
-        });
-      }
-
-      public void setDefaultReturnValue(double rv) {
-        throw new UnsupportedOperationException();
-      }
-
-      public double defaultReturnValue() {
-        return counter.defaultReturnValue();
-      }
-
-    };
-  }
-
-  /**
-   * Returns a counter whose keys are the elements in this priority queue, and
-   * whose counts are the priorities in this queue.  In the event there are
-   * multiple instances of the same element in the queue, the counter's count
-   * will be the sum of the instances' priorities.
-   *
-   */
-  public static <E> Counter<E> asCounter(FixedPrioritiesPriorityQueue<E> p) {
-    FixedPrioritiesPriorityQueue<E> pq = p.clone();
-    ClassicCounter<E> counter = new ClassicCounter<E>();
-    while (pq.hasNext()) {
-      double priority = pq.getPriority();
-      E element = pq.next();
-      counter.incrementCount(element, priority);
-    }
-    return counter;
-  }
-
-  /**
-   * Returns a counter view of the given map.  Infers the numeric type
-   * of the values from the first element in map.values().
-   */
-  @SuppressWarnings("unchecked")
-  public static <E, N extends Number> Counter<E> fromMap(final Map<E,N> map) {
-    if (map.isEmpty()) {
-      throw new IllegalArgumentException("Map must have at least one element" +
-      		" to infer numeric type; add an element first or use e.g." +
-      		" fromMap(map, Integer.class)");
-    }
-    return fromMap(map, (Class)map.values().iterator().next().getClass());
-  }
-
-  /**
-   * Returns a counter view of the given map.  The type parameter is the
-   * type of the values in the map, which because of Java's generics type
-   * erasure, can't be discovered by reflection if the map is currently empty.
-   */
-  public static <E, N extends Number> Counter<E> fromMap(final Map<E,N> map, final Class<N> type) {
-    // get our initial total
-    double initialTotal = 0;
-    for (Map.Entry<E,N> entry : map.entrySet()) {
-      initialTotal += entry.getValue().doubleValue();
-    }
-
-    // and pass it in to the returned inner class with a final variable
-    final double initialTotalFinal = initialTotal;
-
-    return new AbstractCounter<E>() {
-      double total = initialTotalFinal;
-      double defRV = 0.0;
-
-      public void clear() {
-        map.clear();
-        total = 0.0;
-      }
-
-      public boolean containsKey(E key) {
-        return map.containsKey(key);
-      }
-
-      public void setDefaultReturnValue(double rv) {
-        defRV = rv;
-      }
-
-      public double defaultReturnValue() {
-        return defRV;
-      }
-
-      @Override
-      @SuppressWarnings("unchecked")
-      public boolean equals(Object o) {
-        if (this == o) {
-          return true;
-        } else if (! (o instanceof Counter)) {
-          return false;
-        } else {
-          return Counters.equals(this, (Counter<E>) o);
-        }
-      }
-
-      @Override
-      public int hashCode() {
-        return map.hashCode();
-      }
-
-      public Set<Entry<E, Double>> entrySet() {
-        return new AbstractSet<Entry<E,Double>>() {
-          Set<Entry<E,N>> entries = map.entrySet();
-
-          @Override
-          public Iterator<Entry<E, Double>> iterator() {
-            return new Iterator<Entry<E,Double>>() {
-              Iterator<Entry<E,N>> it = entries.iterator();
-              Entry<E,N> lastEntry; // = null;
-
-              public boolean hasNext() {
-                return it.hasNext();
-              }
-
-              public Entry<E, Double> next() {
-                final Entry<E,N> entry = it.next();
-                lastEntry = entry;
-
-                return new Entry<E,Double>() {
-                  public E getKey() {
-                    return entry.getKey();
-                  }
-
-                  public Double getValue() {
-                    return entry.getValue().doubleValue();
-                  }
-
-                  public Double setValue(Double value) {
-                    final double lastValue = entry.getValue().doubleValue();
-                    double rv;
-
-                    if (type == Double.class) {
-                      rv = ErasureUtils.<Entry<E,Double>>uncheckedCast(entry).setValue(value);
-                    } else if (type == Integer.class) {
-                      rv = ErasureUtils.<Entry<E,Integer>>uncheckedCast(entry).setValue(value.intValue());
-                    } else if (type == Float.class) {
-                      rv = ErasureUtils.<Entry<E,Float>>uncheckedCast(entry).setValue(value.floatValue());
-                    } else if (type == Long.class) {
-                      rv = ErasureUtils.<Entry<E,Long>>uncheckedCast(entry).setValue(value.longValue());
-                    } else if (type == Short.class) {
-                      rv = ErasureUtils.<Entry<E,Short>>uncheckedCast(entry).setValue(value.shortValue());
-                    } else {
-                      throw new RuntimeException("Unrecognized numeric type in wrapped counter");
-                    }
-
-                    // need to call getValue().doubleValue() to make sure
-                    // we keep the same precision as the underlying map
-                    total += entry.getValue().doubleValue() - lastValue;
-
-                    return rv;
-                  }
-                };
-              }
-
-              public void remove() {
-                total -= lastEntry.getValue().doubleValue();
-                it.remove();
-              }
-            };
-          }
-
-          @Override
-          public int size() {
-            return map.size();
-          }
-        };
-      }
-
-      public double getCount(Object key) {
-        final Number value = map.get(key);
-        return value != null ? value.doubleValue() : defRV;
-      }
-
-      public Factory<Counter<E>> getFactory() {
-        return new Factory<Counter<E>>() {
-
-          private static final long serialVersionUID = -4063129407369590522L;
-
-          public Counter<E> create() {
-            // return a HashMap backed by the same numeric type to
-            // keep the precision of the returned counter consistent with
-            // this one's precision
-            return fromMap(new HashMap<E,N>(), type);
-          }
-        };
-      }
-
-      public Set<E> keySet() {
-        return new AbstractSet<E>() {
-          @Override
-          public Iterator<E> iterator() {
-            return new Iterator<E>() {
-              Iterator<E> it = map.keySet().iterator();
-
-              public boolean hasNext() {
-                return it.hasNext();
-              }
-
-              public E next() {
-                return it.next();
-              }
-
-              public void remove() {
-                throw new UnsupportedOperationException("Cannot remove from key set");
-              }
-            };
-          }
-
-          @Override
-          public int size() {
-            return map.size();
-          }
-        };
-      }
-
-      public double remove(E key) {
-        final Number removed = map.remove(key);
-        if (removed != null) {
-          final double rv = removed.doubleValue();
-          total -= rv;
-          return rv;
-        }
-        return defRV;
-      }
-
-      public void setCount(E key, double value) {
-        final Double lastValue;
-        double newValue;
-
-        if (type == Double.class) {
-          lastValue = ErasureUtils.<Map<E,Double>>uncheckedCast(map).put(key, value);
-          newValue = value;
-        } else if (type == Integer.class) {
-          final Integer last = ErasureUtils.<Map<E,Integer>>uncheckedCast(map).put(key, (int)value);
-          lastValue = last != null ? last.doubleValue() : null;
-          newValue = ((int)value);
-        } else if (type == Float.class) {
-          final Float last = ErasureUtils.<Map<E,Float>>uncheckedCast(map).put(key, (float)value);
-          lastValue = last != null ? last.doubleValue() : null;
-          newValue = ((float)value);
-        } else if (type == Long.class) {
-          final Long last = ErasureUtils.<Map<E,Long>>uncheckedCast(map).put(key, (long)value);
-          lastValue = last != null ? last.doubleValue() : null;
-          newValue = ((long)value);
-        } else if (type == Short.class) {
-          final Short last = ErasureUtils.<Map<E,Short>>uncheckedCast(map).put(key, (short)value);
-          lastValue = last != null ? last.doubleValue() : null;
-          newValue = ((short)value);
-        } else {
-          throw new RuntimeException("Unrecognized numeric type in wrapped counter");
-        }
-
-        // need to use newValue instead of value to make sure we
-        // keep same precision as underlying map.
-        total += newValue - (lastValue != null ? lastValue : 0);
-      }
-
-      public int size() {
-        return map.size();
-      }
-
-      public double totalCount() {
-        return total;
-      }
-
-      public Collection<Double> values() {
-        return new AbstractCollection<Double>() {
-          @Override
-          public Iterator<Double> iterator() {
-            return new Iterator<Double>() {
-              final Iterator<N> it = map.values().iterator();
-
-              public boolean hasNext() {
-                return it.hasNext();
-              }
-
-              public Double next() {
-                return it.next().doubleValue();
-              }
-
-              public void remove() {
-                throw new UnsupportedOperationException("Cannot remove from values collection");
-              }
-            };
-          }
-
-          @Override
-          public int size() {
-            return map.size();
-          }
-        };
-      }
-    };
-  }
-
-  /**
-   * Returns a map view of the given counter.
-   */
-  public static <E> Map<E,Double> asMap(final Counter<E> counter) {
-    return new AbstractMap<E,Double>() {
-      @Override
-      public int size() {
-        return counter.size();
-      }
-
-      @Override
-      public Set<Entry<E, Double>> entrySet() {
-        return counter.entrySet();
-      }
-
-      @Override
-      @SuppressWarnings("unchecked")
-      public boolean containsKey(Object key) {
-        return counter.containsKey((E)key);
-      }
-
-      @Override
-      @SuppressWarnings("unchecked")
-      public Double get(Object key) {
-        return counter.getCount((E)key);
-      }
-
-      @Override
-      public Double put(E key, Double value) {
-        double last = counter.getCount(key);
-        counter.setCount(key, value);
-        return last;
-      }
-
-      @Override
-      @SuppressWarnings("unchecked")
-      public Double remove(Object key) {
-        return counter.remove((E)key);
-      }
-
-      @Override
-      public Set<E> keySet() {
-        return counter.keySet();
-      }
-    };
-  }
-
-  /**
-   * Default comparator for breaking ties in argmin and argmax.
-  //TODO: What type should this be?
-  // Unused, so who cares?
-  private static final Comparator<Object> hashCodeComparator = new Comparator<Object>() {
-      public int compare(Object o1, Object o2) {
-        return o1.hashCode() - o2.hashCode();
-      }
-
-      public boolean equals(Comparator comparator) {
-        return (comparator == this);
-      }
-  };
-   */
-
-  /**
-   * Comparator that uses natural ordering.
-   * Returns 0 if o1 is not Comparable.
-   */
-  static class NaturalComparator<E> implements Comparator<E> {
-    public NaturalComparator() {}
-    @Override
-    public String toString() { return "NaturalComparator"; }
-    @SuppressWarnings("unchecked")
-    public int compare(E o1, E o2) {
-      if (o1 instanceof Comparable) {
-        return (((Comparable<E>) o1).compareTo(o2));
-      }
-      return 0; // soft-fail
-    }
-  }
-
-  /**
-   *
-   * @param <E>
-   * @param originalCounter
-   * @return a copy of the original counter
-   */
-  public static <E> Counter<E> getCopy(Counter<E> originalCounter){
-    Counter<E> copyCounter = new ClassicCounter<E>();
-    copyCounter.addAll(originalCounter);
-    return copyCounter;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Distribution.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Distribution.java
deleted file mode 100644
index 0b8e7e1..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Distribution.java
+++ /dev/null
@@ -1,908 +0,0 @@
-package edu.stanford.nlp.stats;
-
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-import java.util.ArrayList;
-import java.util.Collections;
-import java.util.Comparator;
-import java.util.HashSet;
-import java.util.List;
-import java.util.Map;
-import java.util.PriorityQueue;
-import java.util.Random;
-import java.util.Set;
-
-
-/**
- * Immutable class for representing normalized, smoothed discrete distributions
- * from {@link Counters}. Smoothed counters reserve probability mass for unseen
- * items, so queries for the probability of unseen items will return a small
- * positive amount.  Normalization is L1 normalization:
- * {@link #totalCount} should always return 1.
- * <p/>
- * A Counter passed into a constructor is copied. This class is Serializable.
- *
- * @author Galen Andrew (galand@cs.stanford.edu), Sebastian Pado
- */
-public class Distribution<E> implements Sampler<E>, ProbabilityDistribution<E> {
-
-  private static final long serialVersionUID = 6707148234288637809L;
-
-  private int numberOfKeys;
-  private double reservedMass;
-  protected Counter<E> counter;
-  private static final int NUM_ENTRIES_IN_STRING = 20;
-
-  private static boolean verbose = false;
-
-  public Counter<E> getCounter() {
-    return counter;
-  }
-
-
-  /**
-   * Exactly the same as sampleFrom(), needed for the Sampler interface.
-   */
-  public E drawSample() {
-    return sampleFrom();
-  }
-
-  /**
-   * A method to draw a sample, providing an own random number generator.
-   * Needed for the ProbabilityDistribution interface.
-   */
-  public E drawSample(Random random) {
-    return sampleFrom(random);
-  }
-
-  public String toString(NumberFormat nf) {
-    return Counters.toString(counter, nf);
-  }
-
-  public double getReservedMass() {
-    return reservedMass;
-  }
-
-  public int getNumberOfKeys() {
-    return numberOfKeys;
-  }
-
-  //--- cdm added Jan 2004 to help old code compile
-
-  public Set<E> keySet() {
-    return counter.keySet();
-  }
-
-  public boolean containsKey(E key) {
-    return counter.containsKey(key);
-  }
-
-  /**
-   * Returns the current count for the given key, which is 0 if it hasn't
-   * been
-   * seen before. This is a convenient version of <code>get</code> that casts
-   * and extracts the primitive value.
-   *
-   * @param key The key to look up.
-   * @return The current count for the given key, which is 0 if it hasn't
-   *     been seen before
-   */
-  public double getCount(E key) {
-    return counter.getCount(key);
-  }
-
-  //---- end cdm added
-
-  //--- JM added for Distributions
-
-  /**
-   * Assuming that c has a total count < 1, returns a new Distribution using the counts in c as probabilities.
-   * If c has a total count > 1, returns a normalized distribution with no remaining mass.
-   */
-  public static <E> Distribution<E> getDistributionFromPartiallySpecifiedCounter(Counter<E> c, int numKeys){
-    Distribution<E> d;
-    double total = c.totalCount();
-    if (total >= 1.0){
-      d = getDistribution(c);
-      d.numberOfKeys = numKeys;
-    } else {
-      d = new Distribution<E>();
-      d.numberOfKeys = numKeys;
-      d.counter = c;
-      d.reservedMass = 1.0 - total;
-    }
-    return d;
-  }
-  //--- end JM added
-
-
-  /**
-   * @param s a Set of keys.
-   */
-  public static <E> Distribution<E> getUniformDistribution(Set<E> s) {
-    Distribution<E> norm = new Distribution<E>();
-    norm.counter = new ClassicCounter<E>();
-    norm.numberOfKeys = s.size();
-    norm.reservedMass = 0;
-    double total = s.size();
-    double count = 1.0 / total;
-    for (E key : s) {
-      norm.counter.setCount(key, count);
-    }
-    return norm;
-  }
-
-  /**
-   * @param s a Set of keys.
-   */
-  public static <E> Distribution<E> getPerturbedUniformDistribution(Set<E> s, Random r) {
-    Distribution<E> norm = new Distribution<E>();
-    norm.counter = new ClassicCounter<E>();
-    norm.numberOfKeys = s.size();
-    norm.reservedMass = 0;
-    double total = s.size();
-    double prob = 1.0 / total;
-    double stdev = prob / 1000.0;
-    for (E key : s) {
-      norm.counter.setCount(key, prob + (r.nextGaussian() * stdev));
-    }
-    return norm;
-  }
-
-  public static <E> Distribution<E> getPerturbedDistribution(Counter<E> wordCounter, Random r) {
-    Distribution<E> norm = new Distribution<E>();
-    norm.counter = new ClassicCounter<E>();
-    norm.numberOfKeys = wordCounter.size();
-    norm.reservedMass = 0;
-    double totalCount = wordCounter.totalCount();
-    double stdev = 1.0 / norm.numberOfKeys / 1000.0; // tiny relative to average value
-    for (E key : wordCounter.keySet()) {
-      double prob = wordCounter.getCount(key) / totalCount;
-      double perturbedProb = prob + (r.nextGaussian() * stdev);
-      if (perturbedProb < 0.0) {
-        perturbedProb = 0.0;
-      }
-      norm.counter.setCount(key, perturbedProb);
-    }
-    return norm;
-  }
-
-  /**
-   * Creates a Distribution from the given counter. It makes an internal
-   * copy of the counter and divides all counts by the total count.
-   *
-   * @return a new Distribution
-   */
-  public static <E> Distribution<E> getDistribution(Counter<E> counter) {
-    return getDistributionWithReservedMass(counter, 0.0);
-  }
-
-  public static <E> Distribution<E> getDistributionWithReservedMass(Counter<E> counter, double reservedMass) {
-    Distribution<E> norm = new Distribution<E>();
-    norm.counter = new ClassicCounter<E>();
-    norm.numberOfKeys = counter.size();
-    norm.reservedMass = reservedMass;
-    double total = counter.totalCount() * (1 + reservedMass);
-    if (total == 0.0) {
-      total = 1.0;
-    }
-    for (E key : counter.keySet()) {
-      double count = counter.getCount(key) / total;
-      //      if (Double.isNaN(count) || count < 0.0 || count> 1.0 ) throw new RuntimeException("count=" + counter.getCount(key) + " total=" + total);
-      norm.counter.setCount(key, count);
-    }
-    return norm;
-  }
-
-  /**
-   * Creates a Distribution from the given counter, ie makes an internal
-   * copy of the counter and divides all counts by the total count.
-   *
-   * @return a new Distribution
-   */
-  public static <E> Distribution<E> getDistributionFromLogValues(Counter<E> counter) {
-    ClassicCounter<E> c = new ClassicCounter<E>();
-    // go through once to get the max
-    // shift all by max so as to minimize the possibility of underflow
-    double max = Counters.max(c);
-    for (E key : counter.keySet()) {
-      double count = Math.exp(counter.getCount(key) - max);
-      c.setCount(key, count);
-    }
-    return getDistribution(c);
-  }
-
-  public static <E> Distribution<E> absolutelyDiscountedDistribution(Counter<E> counter, int numberOfKeys, double discount) {
-    Distribution<E> norm = new Distribution<E>();
-    norm.counter = new ClassicCounter<E>();
-    double total = counter.totalCount();
-    double reservedMass = 0.0;
-    for (E key : counter.keySet()) {
-      double count = counter.getCount(key);
-      if (count > discount) {
-        double newCount = (count - discount) / total;
-        norm.counter.setCount(key, newCount); // a positive count left over
-        //        System.out.println("seen: " + newCount);
-        reservedMass += discount;
-      } else { // count <= discount
-        reservedMass += count;
-        // if the count <= discount, don't put key in counter, and we treat it as unseen!!
-      }
-    }
-    norm.numberOfKeys = numberOfKeys;
-    norm.reservedMass = reservedMass / total;
-    if (verbose) {
-      System.err.println("unseenKeys=" + (norm.numberOfKeys - norm.counter.size()) + " seenKeys=" + norm.counter.size() + " reservedMass=" + norm.reservedMass);
-      double zeroCountProb = (norm.reservedMass / (numberOfKeys - norm.counter.size()));
-      System.err.println("0 count prob: " + zeroCountProb);
-      if (discount >= 1.0) {
-        System.err.println("1 count prob: " + zeroCountProb);
-      } else {
-        System.err.println("1 count prob: " + (1.0 - discount) / total);
-      }
-      if (discount >= 2.0) {
-        System.err.println("2 count prob: " + zeroCountProb);
-      } else {
-        System.err.println("2 count prob: " + (2.0 - discount) / total);
-      }
-      if (discount >= 3.0) {
-        System.err.println("3 count prob: " + zeroCountProb);
-      } else {
-        System.err.println("3 count prob: " + (3.0 - discount) / total);
-      }
-    }
-    //    System.out.println("UNSEEN: " + reservedMass / total / (numberOfKeys - counter.size()));
-    return norm;
-  }
-
-  /**
-   * Creates an Laplace smoothed Distribution from the given counter, ie adds one count
-   * to every item, including unseen ones, and divides by the total count.
-   *
-   * @return a new add-1 smoothed Distribution
-   */
-  public static <E> Distribution<E> laplaceSmoothedDistribution(Counter<E> counter, int numberOfKeys) {
-    return laplaceSmoothedDistribution(counter, numberOfKeys, 1.0);
-  }
-
-  /**
-   * Creates a smoothed Distribution using Lidstone's law, ie adds lambda (typically
-   * between 0 and 1) to every item, including unseen ones, and divides by the total count.
-   *
-   * @return a new Lidstone smoothed Distribution
-   */
-  public static <E> Distribution<E> laplaceSmoothedDistribution(Counter<E> counter, int numberOfKeys, double lambda) {
-    Distribution<E> norm = new Distribution<E>();
-    norm.counter = new ClassicCounter<E>();
-    double total = counter.totalCount();
-    double newTotal = total + (lambda * numberOfKeys);
-    double reservedMass = ((double) numberOfKeys - counter.size()) * lambda / newTotal;
-    if (verbose) {
-      System.err.println(((double) numberOfKeys - counter.size()) + " * " + lambda + " / (" + total + " + ( " + lambda + " * " + (double) numberOfKeys + ") )");
-    }
-    norm.numberOfKeys = numberOfKeys;
-    norm.reservedMass = reservedMass;
-    if (verbose) {
-      System.err.println("reserved mass=" + reservedMass);
-    }
-    for (E key : counter.keySet()) {
-      double count = counter.getCount(key);
-      norm.counter.setCount(key, (count + lambda) / newTotal);
-    }
-    if (verbose) {
-      System.err.println("unseenKeys=" + (norm.numberOfKeys - norm.counter.size()) + " seenKeys=" + norm.counter.size() + " reservedMass=" + norm.reservedMass);
-      System.err.println("0 count prob: " + lambda / newTotal);
-      System.err.println("1 count prob: " + (1.0 + lambda) / newTotal);
-      System.err.println("2 count prob: " + (2.0 + lambda) / newTotal);
-      System.err.println("3 count prob: " + (3.0 + lambda) / newTotal);
-    }
-    return norm;
-  }
-
-  /**
-   * Creates a smoothed Distribution with Laplace smoothing, but assumes an explicit
-   * count of "UNKNOWN" items.  Thus anything not in the original counter will have
-   * probability zero.
-   *
-   * @param counter the counter to normalize
-   * @param lambda  the value to add to each count
-   * @param UNK     the UNKNOWN symbol
-   * @return a new Laplace-smoothed distribution
-   */
-  public static <E> Distribution<E> laplaceWithExplicitUnknown(Counter<E> counter, double lambda, E UNK) {
-    Distribution<E> norm = new Distribution<E>();
-    norm.counter = new ClassicCounter<E>();
-    double total = counter.totalCount() + (lambda * (counter.size() - 1));
-    norm.numberOfKeys = counter.size();
-    norm.reservedMass = 0.0;
-    for (E key : counter.keySet()) {
-      if (key.equals(UNK)) {
-        norm.counter.setCount(key, counter.getCount(key) / total);
-      } else {
-        norm.counter.setCount(key, (counter.getCount(key) + lambda) / total);
-      }
-    }
-    return norm;
-  }
-
-  /**
-   * Creates a Good-Turing smoothed Distribution from the given counter.
-   *
-   * @return a new Good-Turing smoothed Distribution.
-   */
-  public static <E> Distribution<E> goodTuringSmoothedCounter(Counter<E> counter, int numberOfKeys) {
-    // gather count-counts
-    int[] countCounts = getCountCounts(counter);
-
-    // if count-counts are unreliable, we shouldn't be using G-T
-    // revert to laplace
-    for (int i = 1; i <= 10; i++) {
-      if (countCounts[i] < 3) {
-        return laplaceSmoothedDistribution(counter, numberOfKeys, 0.5);
-      }
-    }
-
-    double observedMass = counter.totalCount();
-    double reservedMass = countCounts[1] / observedMass;
-
-    // calculate and cache adjusted frequencies
-    // also adjusting total mass of observed items
-    double[] adjustedFreq = new double[10];
-    for (int freq = 1; freq < 10; freq++) {
-      adjustedFreq[freq] = (double) (freq + 1) * (double) countCounts[freq + 1] / countCounts[freq];
-      observedMass -= (freq - adjustedFreq[freq]) * countCounts[freq];
-    }
-
-    double normFactor = (1.0 - reservedMass) / observedMass;
-
-    Distribution<E> norm = new Distribution<E>();
-    norm.counter = new ClassicCounter<E>();
-
-    // fill in the new Distribution, renormalizing as we go
-    for (E key : counter.keySet()) {
-      int origFreq = (int) Math.round(counter.getCount(key));
-      if (origFreq < 10) {
-        norm.counter.setCount(key, adjustedFreq[origFreq] * normFactor);
-      } else {
-        norm.counter.setCount(key, origFreq * normFactor);
-      }
-    }
-
-    norm.numberOfKeys = numberOfKeys;
-    norm.reservedMass = reservedMass;
-    return norm;
-  }
-
-  /**
-   * Creates a Good-Turing smoothed Distribution from the given counter without
-   * creating any reserved mass-- instead, the special object UNK in the counter
-   * is assumed to be the count of "UNSEEN" items.  Probability of objects not in
-   * original counter will be zero.
-   *
-   * @param counter the counter
-   * @param UNK     the unknown symbol
-   * @return a good-turing smoothed distribution
-   */
-  public static <E> Distribution<E> goodTuringWithExplicitUnknown(Counter<E> counter, E UNK) {
-    // gather count-counts
-    int[] countCounts = getCountCounts(counter);
-
-    // if count-counts are unreliable, we shouldn't be using G-T
-    // revert to laplace
-    for (int i = 1; i <= 10; i++) {
-      if (countCounts[i] < 3) {
-        return laplaceWithExplicitUnknown(counter, 0.5, UNK);
-      }
-    }
-
-    double observedMass = counter.totalCount();
-
-    // calculate and cache adjusted frequencies
-    // also adjusting total mass of observed items
-    double[] adjustedFreq = new double[10];
-    for (int freq = 1; freq < 10; freq++) {
-      adjustedFreq[freq] = (double) (freq + 1) * (double) countCounts[freq + 1] / countCounts[freq];
-      observedMass -= (freq - adjustedFreq[freq]) * countCounts[freq];
-    }
-
-    Distribution<E> norm = new Distribution<E>();
-    norm.counter = new ClassicCounter<E>();
-
-    // fill in the new Distribution, renormalizing as we go
-    for (E key : counter.keySet()) {
-      int origFreq = (int) Math.round(counter.getCount(key));
-      if (origFreq < 10) {
-        norm.counter.setCount(key, adjustedFreq[origFreq] / observedMass);
-      } else {
-        norm.counter.setCount(key, origFreq / observedMass);
-      }
-    }
-
-    norm.numberOfKeys = counter.size();
-    norm.reservedMass = 0.0;
-    return norm;
-
-  }
-
-  private static <E> int[] getCountCounts(Counter<E> counter) {
-    int[] countCounts = new int[11];
-    for (int i = 0; i <= 10; i++) {
-      countCounts[i] = 0;
-    }
-    for (E key : counter.keySet()) {
-      int count = (int) Math.round(counter.getCount(key));
-      if (count <= 10) {
-        countCounts[count]++;
-      }
-    }
-    return countCounts;
-  }
-
-
-  // ----------------------------------------------------------------------------
-
-  /**
-   * Creates a Distribution from the given counter using Gale &amp; Sampsons'
-   * "simple Good-Turing" smoothing.
-   *
-   * @return a new simple Good-Turing smoothed Distribution.
-   */
-  public static <E> Distribution<E> simpleGoodTuring(Counter<E> counter, int numberOfKeys) {
-
-    // check arguments
-    validateCounter(counter);
-    int numUnseen = numberOfKeys - counter.size();
-    if (numUnseen < 1)
-      throw new IllegalArgumentException(String.format("ERROR: numberOfKeys %d must be > size of counter %d!", numberOfKeys, counter.size()));
-
-    // do smoothing
-    int[][] cc = countCounts2IntArrays(collectCountCounts(counter));
-    int[] r = cc[0];                    // counts
-    int[] n = cc[1];                    // counts of counts
-    SimpleGoodTuring sgt = new SimpleGoodTuring(r, n);
-
-    // collate results
-    Counter<Integer> probsByCount = new ClassicCounter<Integer>();
-    double[] probs = sgt.getProbabilities();
-    for (int i = 0; i < probs.length; i++) {
-      probsByCount.setCount(r[i], probs[i]);
-    }
-
-    // make smoothed distribution
-    Distribution<E> dist = new Distribution<E>();
-    dist.counter = new ClassicCounter<E>();
-    for (Map.Entry<E, Double> entry : counter.entrySet()) {
-      E item = entry.getKey();
-      Integer count = (int) Math.round(entry.getValue());
-      dist.counter.setCount(item, probsByCount.getCount(count));
-    }
-    dist.numberOfKeys = numberOfKeys;
-    dist.reservedMass = sgt.getProbabilityForUnseen();
-    return dist;
-
-  }
-
-  /* Helper to simpleGoodTuringSmoothedCounter() */
-  private static <E> void validateCounter(Counter<E> counts) {
-    for (Map.Entry<E, Double> entry : counts.entrySet()) {
-      E item = entry.getKey();
-      Double dblCount = entry.getValue();
-      if (dblCount == null) {
-        throw new IllegalArgumentException("ERROR: null count for item " + item + "!");
-      }
-      if (dblCount < 0) {
-        throw new IllegalArgumentException("ERROR: negative count " + dblCount + " for item " + item + "!");
-      }
-    }
-  }
-
-  /* Helper to simpleGoodTuringSmoothedCounter() */
-  private static <E> Counter<Integer> collectCountCounts(Counter<E> counts) {
-    Counter<Integer> cc = new ClassicCounter<Integer>(); // counts of counts
-    for (Map.Entry<E, Double> entry : counts.entrySet()) {
-      //E item = entry.getKey();
-      Integer count = (int) Math.round(entry.getValue());
-      cc.incrementCount(count);
-    }
-    return cc;
-  }
-
-  /* Helper to simpleGoodTuringSmoothedCounter() */
-  private static int[][] countCounts2IntArrays(Counter<Integer> countCounts) {
-    int size = countCounts.size();
-    int[][] arrays = new int[2][];
-    arrays[0] = new int[size]; // counts
-    arrays[1] = new int[size]; // count counts
-    PriorityQueue<Integer> q = new PriorityQueue<Integer>(countCounts.keySet());
-    int i = 0;
-    while (!q.isEmpty()) {
-      Integer count = q.poll();
-      Integer countCount = (int) Math.round(countCounts.getCount(count));
-      arrays[0][i] = count;
-      arrays[1][i] = countCount;
-      i++;
-    }
-    return arrays;
-  }
-
-
-  // ----------------------------------------------------------------------------
-
-  /**
-   * Returns a Distribution that uses prior as a Dirichlet prior
-   * weighted by weight.  Essentially adds "pseudo-counts" for each Object
-   * in prior equal to that Object's mass in prior times weight,
-   * then normalizes.
-   * <p/>
-   * WARNING: If unseen item is encountered in c, total may not be 1.
-   * NOTE: This will not work if prior is a DynamicDistribution
-   * to fix this, you could add a CounterView to Distribution and use that
-   * in the linearCombination call below
-   *
-   * @param weight multiplier of prior to get "pseudo-count"
-   * @return new Distribution
-   */
-  public static <E> Distribution<E> distributionWithDirichletPrior(Counter<E> c, Distribution<E> prior, double weight) {
-    Distribution<E> norm = new Distribution<E>();
-    double totalWeight = c.totalCount() + weight;
-    if (prior instanceof DynamicDistribution) {
-      throw new UnsupportedOperationException("Cannot make normalized counter with Dynamic prior.");
-    }
-    norm.counter = Counters.linearCombination(c, 1 / totalWeight, prior.counter, weight / totalWeight);
-    norm.numberOfKeys = prior.numberOfKeys;
-    norm.reservedMass = prior.reservedMass * weight / totalWeight;
-    //System.out.println("totalCount: " + norm.totalCount());
-    return norm;
-  }
-
-  /**
-   * Like normalizedCounterWithDirichletPrior except probabilities are
-   * computed dynamically from the counter and prior instead of all at once up front.
-   * The main advantage of this is if you are making many distributions from relatively
-   * sparse counters using the same relatively dense prior, the prior is only represented
-   * once, for major memory savings.
-   *
-   * @param weight multiplier of prior to get "pseudo-count"
-   * @return new Distribution
-   */
-  public static <E> Distribution<E> dynamicCounterWithDirichletPrior(Counter<E> c, Distribution<E> prior, double weight) {
-    double totalWeight = c.totalCount() + weight;
-    Distribution<E> norm = new DynamicDistribution<E>(prior, weight / totalWeight);
-    norm.counter = new ClassicCounter<E>();
-    // this might be done more efficiently with entrySet but there isn't a way to get
-    // the entrySet from a Counter now.  In most cases c will be small(-ish) anyway
-    for (E key : c.keySet()) {
-      double count = c.getCount(key) / totalWeight;
-      prior.addToKeySet(key);
-      norm.counter.setCount(key, count);
-    }
-    norm.numberOfKeys = prior.numberOfKeys;
-    return norm;
-  }
-
-  private static class DynamicDistribution<E> extends Distribution<E> {
-    /**
-     * 
-     */
-    private static final long serialVersionUID = -6073849364871185L;
-    private Distribution<E> prior;
-    private double priorMultiplier;
-
-    public DynamicDistribution(Distribution<E> prior, double priorMultiplier) {
-      super();
-      this.prior = prior;
-      this.priorMultiplier = priorMultiplier;
-    }
-
-    @Override
-    public double probabilityOf(E o) {
-      return this.counter.getCount(o) + prior.probabilityOf(o) * priorMultiplier;
-    }
-
-    @Override
-    public double totalCount() {
-      return this.counter.totalCount() + prior.totalCount() * priorMultiplier;
-    }
-
-    @Override
-    public Set<E> keySet() {
-      return prior.keySet();
-    }
-
-    @Override
-    public void addToKeySet(E o) {
-      prior.addToKeySet(o);
-    }
-
-    @Override
-    public boolean containsKey(E key) {
-      return prior.containsKey(key);
-    }
-
-    public Object argMax() {
-      return Counters.argmax(Counters.linearCombination(this.counter, 1.0, prior.counter, priorMultiplier));
-    }
-
-    @Override
-    public E sampleFrom() {
-      double d = Math.random();
-      Set<E> s = prior.keySet();
-      for (E o : s) {
-        d -= probabilityOf(o);
-        if (d < 0) {
-          return o;
-        }
-      }
-      System.err.println("ERROR: Distribution sums to less than 1");
-      System.err.println("Sampled " + d + "      sum is " + totalCount());
-      throw new RuntimeException("");
-    }
-  }
-
-  /**
-   * Maps a counter representing the linear weights of a multiclass
-   * logistic regression model to the probabilities of each class.
-   */
-  public static <E> Distribution<E> distributionFromLogisticCounter(Counter<E> cntr) {
-    double expSum = 0.0;
-    int numKeys = 0;
-    for (E key : cntr.keySet()) {
-      expSum += Math.exp(cntr.getCount(key));
-      numKeys++;
-    }
-    Distribution<E> probs = new Distribution<E>();
-    probs.counter = new ClassicCounter<E>();
-    probs.reservedMass = 0.0;
-    probs.numberOfKeys = numKeys;
-    for (E key : cntr.keySet()) {
-      probs.counter.setCount(key, Math.exp(cntr.getCount(key)) / expSum);
-    }
-    return probs;
-  }
-
-  /**
-   * Returns an object sampled from the distribution using Math.random().
-   * There may be a faster way to do this if you need to...
-   *
-   * @return a sampled object
-   */
-  public E sampleFrom() {
-    return Counters.sample(counter);
-  }
-  /**
-   * Returns an object sampled from the distribution using a self-provided
-   * random number generator.
-   *
-   * @return a sampled object
-   */
-  public E sampleFrom(Random random) {
-    return Counters.sample(counter, random);
-  }
-
-  /**
-   * Returns the normalized count of the given object.
-   *
-   * @return the normalized count of the object
-   */
-  public double probabilityOf(E key) {
-    if (counter.containsKey(key)) {
-      return counter.getCount(key);
-    } else {
-      int remainingKeys = numberOfKeys - counter.size();
-      if (remainingKeys <= 0) {
-        return 0.0;
-      } else {
-        return (reservedMass / remainingKeys);
-      }
-    }
-  }
-
-  /**
-   * Returns the natural logarithm of the object's probability
-   *
-   * @return the logarithm of the normalised count (may be NaN if Pr==0.0)
-   */
-  public double logProbabilityOf(E key) {
-    double prob = probabilityOf(key);
-    return Math.log(prob);
-  }
-
-  public E argmax() {
-    return Counters.argmax(counter);
-  }
-
-  public double totalCount() {
-    return counter.totalCount() + reservedMass;
-  }
-
-  /**
-   * Insures that object is in keyset (with possibly zero value)
-   *
-   * @param o object to put in keyset
-   */
-  public void addToKeySet(E o) {
-    if (!counter.containsKey(o)) {
-      counter.setCount(o, 0);
-    }
-  }
-
-  @Override
-  @SuppressWarnings("unchecked")
-  public boolean equals(Object o) {
-    if (this == o) {
-      return true;
-    }
-    return o instanceof Distribution && equals((Distribution) o);
-  }
-
-  public boolean equals(Distribution<E> distribution) {
-    if (numberOfKeys != distribution.numberOfKeys) {
-      return false;
-    }
-    if (reservedMass != distribution.reservedMass) {
-      return false;
-    }
-    return counter.equals(distribution.counter);
-  }
-
-  @Override
-  public int hashCode() {
-    int result = numberOfKeys;
-    long temp = Double.doubleToLongBits(reservedMass);
-    result = 29 * result + (int) (temp ^ (temp >>> 32));
-    result = 29 * result + counter.hashCode();
-    return result;
-  }
-
-  // no public constructor; use static methods instead
-  private Distribution() {
-  }
-
-  @Override
-  public String toString() {
-    NumberFormat nf = new DecimalFormat("0.0##E0");
-    List<E> keyList = new ArrayList<E>(keySet());
-    Collections.sort(keyList, new Comparator<E>() {
-      public int compare(E o1, E o2) {
-        if (probabilityOf(o1) < probabilityOf(o2)) {
-          return 1;
-        } else {
-          return -1;
-        }
-      }
-    });
-    StringBuilder sb = new StringBuilder();
-    sb.append("[");
-    for (int i = 0; i < NUM_ENTRIES_IN_STRING; i++) {
-      if (keyList.size() <= i) {
-        break;
-      }
-      E o = keyList.get(i);
-      double prob = probabilityOf(o);
-      sb.append(o).append(":").append(nf.format(prob)).append(" ");
-    }
-    sb.append("]");
-    return sb.toString();
-  }
-
-  /**
-   * For internal testing purposes only.
-   */
-  public static void main(String[] args) {
-    Counter<String> c2 = new ClassicCounter<String>();
-    c2.incrementCount("p", 13);
-    c2.setCount("q", 12);
-    c2.setCount("w", 5);
-    c2.incrementCount("x", 7.5);
-    // System.out.println(getDistribution(c2).getCount("w") + " should be 0.13333");
-
-    ClassicCounter<String> c = new ClassicCounter<String>();
-
-    final double p = 1000;
-
-    String UNK = "!*UNKNOWN*!";
-    Set<String> s = new HashSet<String>();
-    s.add(UNK);
-
-    // fill counter with roughly Zipfian distribution
-    //    "1" : 1000
-    //    "2" :  500
-    //    "3" :  333
-    //       ...
-    //  "UNK" :   45
-    //       ...
-    //  "666" :    2
-    //  "667" :    1
-    //       ...
-    // "1000" :    1
-    for (int rank = 1; rank < 2000; rank++) {
-      String i = String.valueOf(rank);
-      c.setCount(i, Math.round(p / rank));
-      s.add(i);
-    }
-    for (int rank = 2000; rank <= 4000; rank++) {
-      String i = String.valueOf(rank);
-      s.add(i);
-    }
-
-    Distribution<String> n = getDistribution(c);
-    Distribution<String> prior = getUniformDistribution(s);
-    Distribution<String> dir1 = distributionWithDirichletPrior(c, prior, 4000);
-    Distribution<String> dir2 = dynamicCounterWithDirichletPrior(c, prior, 4000);
-    Distribution<String> add1;
-    Distribution<String> gt;
-    if (true) {
-      add1 = laplaceSmoothedDistribution(c, 4000);
-      gt = goodTuringSmoothedCounter(c, 4000);
-    } else {
-      c.setCount(UNK, 45);
-      add1 = laplaceWithExplicitUnknown(c, 0.5, UNK);
-      gt = goodTuringWithExplicitUnknown(c, UNK);
-    }
-    Distribution<String> sgt = simpleGoodTuring(c, 4000);
-
-    System.out.printf("%10s %10s %10s %10s %10s %10s %10s%n",
-                      "Freq", "Norm", "Add1", "Dir1", "Dir2", "GT", "SGT");
-    System.out.printf("%10s %10s %10s %10s %10s %10s %10s%n",
-                      "----------", "----------", "----------", "----------", "----------", "----------", "----------");
-
-    for (int i = 1; i < 5; i++) {
-      System.out.printf("%10d ", Math.round(p / i));
-      String in = String.valueOf(i);
-      System.out.printf("%10.8f ", n.probabilityOf(String.valueOf(in)));
-      System.out.printf("%10.8f ", add1.probabilityOf(in));
-      System.out.printf("%10.8f ", dir1.probabilityOf(in));
-      System.out.printf("%10.8f ", dir2.probabilityOf(in));
-      System.out.printf("%10.8f ", gt.probabilityOf(in));
-      System.out.printf("%10.8f ", sgt.probabilityOf(in));
-      System.out.println();
-    }
-
-    System.out.printf("%10s %10s %10s %10s %10s %10s %10s%n",
-                      "----------", "----------", "----------", "----------", "----------", "----------", "----------");
-    System.out.printf("%10d ", 1);
-    String last = String.valueOf(1500);
-    System.out.printf("%10.8f ", n.probabilityOf(last));
-    System.out.printf("%10.8f ", add1.probabilityOf(last));
-    System.out.printf("%10.8f ", dir1.probabilityOf(last));
-    System.out.printf("%10.8f ", dir2.probabilityOf(last));
-    System.out.printf("%10.8f ", gt.probabilityOf(last));
-    System.out.printf("%10.8f ", sgt.probabilityOf(last));
-    System.out.println();
-
-    System.out.printf("%10s %10s %10s %10s %10s %10s %10s%n",
-                      "----------", "----------", "----------", "----------", "----------", "----------", "----------");
-    System.out.printf("%10s ", "UNK");
-    System.out.printf("%10.8f ", n.probabilityOf(UNK));
-    System.out.printf("%10.8f ", add1.probabilityOf(UNK));
-    System.out.printf("%10.8f ", dir1.probabilityOf(UNK));
-    System.out.printf("%10.8f ", dir2.probabilityOf(UNK));
-    System.out.printf("%10.8f ", gt.probabilityOf(UNK));
-    System.out.printf("%10.8f ", sgt.probabilityOf(UNK));
-    System.out.println();
-
-    System.out.printf("%10s %10s %10s %10s %10s %10s %10s%n",
-                      "----------", "----------", "----------", "----------", "----------", "----------", "----------");
-    System.out.printf("%10s ", "RESERVE");
-    System.out.printf("%10.8f ", n.getReservedMass());
-    System.out.printf("%10.8f ", add1.getReservedMass());
-    System.out.printf("%10.8f ", dir1.getReservedMass());
-    System.out.printf("%10.8f ", dir2.getReservedMass());
-    System.out.printf("%10.8f ", gt.getReservedMass());
-    System.out.printf("%10.8f ", sgt.getReservedMass());
-    System.out.println();
-
-    System.out.printf("%10s %10s %10s %10s %10s %10s %10s%n",
-                      "----------", "----------", "----------", "----------", "----------", "----------", "----------");
-    System.out.printf("%10s ", "Total");
-    System.out.printf("%10.8f ", n.totalCount());
-    System.out.printf("%10.8f ", add1.totalCount());
-    System.out.printf("%10.8f ", dir1.totalCount());
-    System.out.printf("%10.8f ", dir2.totalCount());
-    System.out.printf("%10.8f ", gt.totalCount());
-    System.out.printf("%10.8f ", sgt.totalCount());
-    System.out.println();
-
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/GeneralizedCounter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/GeneralizedCounter.java
deleted file mode 100644
index d8dc474..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/GeneralizedCounter.java
+++ /dev/null
@@ -1,1024 +0,0 @@
-package edu.stanford.nlp.stats;
-
-import java.io.PrintWriter;
-import java.io.Serializable;
-import java.util.Arrays;
-import java.util.Collections;
-import java.util.HashMap;
-import java.util.HashSet;
-import java.util.Iterator;
-import java.util.List;
-import java.util.Map;
-import java.util.Set;
-
-import edu.stanford.nlp.util.ErasureUtils;
-import edu.stanford.nlp.util.MutableDouble;
-
-/**
- * A class for keeping double counts of {@link List}s of a
- * prespecified length.  A depth <i>n</i> GeneralizedCounter can be
- * thought of as a conditionalized count over <i>n</i> classes of
- * objects, in a prespecified order.  Also offers a read-only view as
- * a Counter.  <p> This class is serializable but no guarantees are
- * made about compatibility version to version.
- *
- * <p/>
- * This is the worst class. Use TwoDimensionalCounter. If you need a third,
- * write ThreeDimensionalCounter, but don't use this.
- *
- * @author Roger Levy
- */
-public class GeneralizedCounter<K> implements Serializable {
-
-  private static final long serialVersionUID = 1;
-
-  private static final Object[] zeroKey = new Object[0];
-
-  private Map<K,Object> map = new HashMap<K, Object>();
-
-  private int depth;
-  private double total;
-
-
-  /**
-   * GeneralizedCounter must be constructed with a depth parameter
-   */
-  private GeneralizedCounter() {
-  }
-
-  /**
-   * Constructs a new GeneralizedCounter of a specified depth
-   *
-   * @param depth the depth of the GeneralizedCounter
-   */
-  public GeneralizedCounter(int depth) {
-    this.depth = depth;
-  }
-
-  /**
-   * Returns the set of entries in the GeneralizedCounter.
-   * Here, each key is a read-only {@link
-   * List} of size equal to the depth of the GeneralizedCounter, and
-   * each value is a {@link Double}.  Each entry is a {@link java.util.Map.Entry} object,
-   * but these objects
-   * do not support the {@link java.util.Map.Entry#setValue} method; attempts to call
-   * that method with result
-   * in an {@link UnsupportedOperationException} being thrown.
-   */
-  public Set<Map.Entry<List<K>,Double>> entrySet() {
-    return ErasureUtils.<Set<Map.Entry<List<K>,Double>>>uncheckedCast(entrySet(new HashSet<Map.Entry<Object,Double>>(), zeroKey, true));
-  }
-
-  /* this is (non-tail) recursive right now, haven't figured out a way
-  * to speed it up */
-  private Set<Map.Entry<Object,Double>> entrySet(Set<Map.Entry<Object,Double>> s, Object[] key, boolean useLists) {
-    if (depth == 1) {
-      //System.out.println("key is long enough to add to set");
-      Set<K> keys = map.keySet();
-      for (K finalKey: keys) {
-        // array doesn't escape
-        K[] newKey = ErasureUtils.<K>mkTArray(Object.class,key.length + 1);
-        if (key.length > 0) {
-          System.arraycopy(key, 0, newKey, 0, key.length);
-        }
-        newKey[key.length] = finalKey;
-        MutableDouble value = (MutableDouble) map.get(finalKey);
-        Double value1 = new Double(value.doubleValue());
-        if (useLists) {
-          s.add(new Entry<Object,Double>(Arrays.asList(newKey), value1));
-        } else {
-          s.add(new Entry<Object,Double>(newKey[0], value1));
-        }
-
-      }
-    } else {
-      Set<K> keys = map.keySet();
-      //System.out.println("key length " + key.length);
-      //System.out.println("keyset level " + depth + " " + keys);
-      for (K o: keys) {
-        Object[] newKey = new Object[key.length + 1];
-        if (key.length > 0) {
-          System.arraycopy(key, 0, newKey, 0, key.length);
-        }
-        newKey[key.length] = o;
-        //System.out.println("level " + key.length + " current key " + Arrays.asList(newKey));
-        conditionalizeHelper(o).entrySet(s, newKey, true);
-      }
-    }
-    //System.out.println("leaving key length " + key.length);
-    return s;
-  }
-
-  /**
-   * Returns a set of entries, where each key is a read-only {@link
-   * List} of size one less than the depth of the GeneralizedCounter, and
-   * each value is a {@link ClassicCounter}.  Each entry is a {@link java.util.Map.Entry} object, but these objects
-   * do not support the {@link java.util.Map.Entry#setValue} method; attempts to call that method with result
-   * in an {@link UnsupportedOperationException} being thrown.
-   */
-  public Set<Map.Entry<List<K>, ClassicCounter<K>>> lowestLevelCounterEntrySet() {
-    return ErasureUtils.<Set<Map.Entry<List<K>, ClassicCounter<K>>>>uncheckedCast(lowestLevelCounterEntrySet(new HashSet<Map.Entry<Object, ClassicCounter<K>>>(), zeroKey, true));
-  }
-
-  /* this is (non-tail) recursive right now, haven't figured out a way
-  * to speed it up */
-  private Set<Map.Entry<Object, ClassicCounter<K>>> lowestLevelCounterEntrySet(Set<Map.Entry<Object, ClassicCounter<K>>> s, Object[] key, boolean useLists) {
-    Set<K> keys = map.keySet();
-    if (depth == 2) {
-      // add these counters to set
-      for (K finalKey: keys) {
-        K[] newKey = ErasureUtils.<K>mkTArray(Object.class,key.length + 1);
-        if (key.length > 0) {
-          System.arraycopy(key, 0, newKey, 0, key.length);
-        }
-        newKey[key.length] = finalKey;
-        ClassicCounter<K> c = conditionalizeHelper(finalKey).oneDimensionalCounterView();
-        if (useLists) {
-          s.add(new Entry<Object,ClassicCounter<K>>(Arrays.asList(newKey), c));
-        } else {
-          s.add(new Entry<Object,ClassicCounter<K>>(newKey[0], c));
-        }
-      }
-    } else {
-      //System.out.println("key length " + key.length);
-      //System.out.println("keyset level " + depth + " " + keys);
-      for (K o: keys) {
-        Object[] newKey = new Object[key.length + 1];
-        if (key.length > 0) {
-          System.arraycopy(key, 0, newKey, 0, key.length);
-        }
-        newKey[key.length] = o;
-        //System.out.println("level " + key.length + " current key " + Arrays.asList(newKey));
-        conditionalizeHelper(o).lowestLevelCounterEntrySet(s, newKey, true);
-      }
-    }
-    //System.out.println("leaving key length " + key.length);
-    return s;
-  }
-
-  private static class Entry<K, V> implements Map.Entry<K, V> {
-    private K key;
-    private V value;
-
-    Entry(K key, V value) {
-      this.key = key;
-      this.value = value;
-    }
-
-    public K getKey() {
-      return key;
-    }
-
-    public V getValue() {
-      return value;
-    }
-
-    public V setValue(V value) {
-      throw new UnsupportedOperationException();
-    }
-
-    @Override
-    public boolean equals(Object o) {
-      if (this == o) {
-        return true;
-      }
-      if (!(o instanceof Entry)) {
-        return false;
-      }
-      Entry<K,V> e = ErasureUtils.<Entry<K,V>>uncheckedCast(o);
-
-      Object key1 = e.getKey();
-      if (!(key != null && key.equals(key1))) {
-        return false;
-      }
-
-      Object value1 = e.getValue();
-      if (!(value != null && value.equals(value1))) {
-        return false;
-      }
-
-      return true;
-    }
-
-    @Override
-    public int hashCode() {
-      if (key == null || value == null) {
-        return 0;
-      }
-      return key.hashCode() ^ value.hashCode();
-    }
-
-    @Override
-    public String toString() {
-      return key.toString() + "=" + value.toString();
-    }
-
-  } // end static class Entry
-
-
-  /**
-   * returns the total count of objects in the GeneralizedCounter.
-   */
-  public double totalCount() {
-    if (depth() == 1) {
-      return total; // I think this one is always OK.  Not very principled here, though.
-    } else {
-      double result = 0.0;
-      for (K o: topLevelKeySet()) {
-        result += conditionalizeOnce(o).totalCount();
-      }
-      return result;
-    }
-  }
-
-  /**
-   * Returns the set of elements that occur in the 0th position of a
-   * {@link List} key in the GeneralizedCounter.
-   *
-   * @see #conditionalize(List)
-   * @see #getCount
-   */
-  public Set<K> topLevelKeySet() {
-    return map.keySet();
-  }
-
-  /**
-   * Returns the set of keys, as read-only {@link List}s of size
-   * equal to the depth of the GeneralizedCounter.
-   */
-  public Set<List<K>> keySet() {
-    return ErasureUtils.<Set<List<K>>>uncheckedCast(keySet(new HashSet<Object>(), zeroKey, true));
-  }
-
-  /* this is (non-tail) recursive right now, haven't figured out a way
-  * to speed it up */
-  private Set<Object> keySet(Set<Object> s, Object[] key, boolean useList) {
-    if (depth == 1) {
-      //System.out.println("key is long enough to add to set");
-      Set<K> keys = map.keySet();
-      for (Object oldKey: keys) {
-        Object[] newKey = new Object[key.length + 1];
-        if (key.length > 0) {
-          System.arraycopy(key, 0, newKey, 0, key.length);
-        }
-        newKey[key.length] = oldKey;
-        if (useList) {
-          s.add(Arrays.asList(newKey));
-        } else {
-          s.add(newKey[0]);
-        }
-      }
-    } else {
-      Set<K> keys = map.keySet();
-      //System.out.println("key length " + key.length);
-      //System.out.println("keyset level " + depth + " " + keys);
-      for (K o: keys) {
-        Object[] newKey = new Object[key.length + 1];
-        if (key.length > 0) {
-          System.arraycopy(key, 0, newKey, 0, key.length);
-        }
-        newKey[key.length] = o;
-        //System.out.println("level " + key.length + " current key " + Arrays.asList(newKey));
-        conditionalizeHelper(o).keySet(s, newKey, true);
-      }
-    }
-    //System.out.println("leaving key length " + key.length);
-    return s;
-  }
-
-  /**
-   * Returns the depth of the GeneralizedCounter (i.e., the dimension
-   * of the distribution).
-   */
-  public int depth() {
-    return depth;
-  }
-
-  /**
-   * Returns true if nothing has a count.
-   */
-  public boolean isEmpty() {
-    return map.isEmpty();
-  }
-
-
-  /**
-   * Equivalent to <code>{@link #getCounts}({o})</code>; works only
-   * for depth 1 GeneralizedCounters
-   */
-  public double getCount(Object o) {
-    if (depth > 1) {
-      wrongDepth();
-    }
-    Number count = (Number) map.get(o);
-    if (count != null) {
-      return count.doubleValue();
-    } else {
-      return 0.0;
-    }
-  }
-
-  /**
-   * A convenience method equivalent to <code>{@link
-   * #getCounts}({o1,o2})</code>; works only for depth 2
-   * GeneralizedCounters
-   */
-  public double getCount(K o1, K o2) {
-    if (depth != 2) {
-      wrongDepth();
-    }
-    GeneralizedCounter<K> gc1 = ErasureUtils.<GeneralizedCounter<K>>uncheckedCast(map.get(o1));
-    if (gc1 == null) {
-      return 0.0;
-    } else {
-      return gc1.getCount(o2);
-    }
-  }
-
-  /**
-   * A convenience method equivalent to <code>{@link
-   * #getCounts}({o1,o2,o3})</code>; works only for depth 3
-   * GeneralizedCounters
-   */
-  public double getCount(K o1, K o2, K o3) {
-    if (depth != 3) {
-      wrongDepth();
-    }
-    GeneralizedCounter<K> gc1 = ErasureUtils.<GeneralizedCounter<K>>uncheckedCast(map.get(o1));
-    if (gc1 == null) {
-      return 0.0;
-    } else {
-      return gc1.getCount(o2, o3);
-    }
-  }
-
-
-  /**
-   * returns a <code>double[]</code> array of length
-   * <code>depth+1</code>, containing the conditional counts on a
-   * <code>depth</code>-length list given each level of conditional
-   * distribution from 0 to <code>depth</code>.
-   */
-  public double[] getCounts(List<K> l) {
-    if (l.size() != depth) {
-      wrongDepth(); //throws exception
-    }
-
-    double[] counts = new double[depth + 1];
-
-    GeneralizedCounter<K> next = this;
-    counts[0] = next.totalCount();
-    Iterator<K> i = l.iterator();
-    int j = 1;
-    K o = i.next();
-    while (i.hasNext()) {
-      next = next.conditionalizeHelper(o);
-      counts[j] = next.totalCount();
-      o = i.next();
-      j++;
-    }
-    counts[depth] = next.getCount(o);
-
-    return counts;
-  }
-
-  /* haven't decided about access for this one yet */
-  private GeneralizedCounter<K> conditionalizeHelper(K o) {
-    if (depth > 1) {
-      GeneralizedCounter<K> next = ErasureUtils.<GeneralizedCounter<K>>uncheckedCast(map.get(o));
-      if (next == null) // adds a new GeneralizedCounter if needed
-      {
-        map.put(o, (next = new GeneralizedCounter<K>(depth - 1)));
-      }
-      return next;
-    } else {
-      throw new RuntimeException("Error -- can't conditionalize a distribution of depth 1");
-    }
-  }
-
-  /**
-   * returns a GeneralizedCounter conditioned on the objects in the
-   * {@link List} argument. The length of the argument {@link List}
-   * must be less than the depth of the GeneralizedCounter.
-   */
-  public GeneralizedCounter<K> conditionalize(List<K> l) {
-    int n = l.size();
-    if (n >= depth()) {
-      throw new RuntimeException("Error -- attempted to conditionalize a GeneralizedCounter of depth " + depth() + " on a vector of length " + n);
-    } else {
-      GeneralizedCounter<K> next = this;
-      for (K o: l) {
-        next = next.conditionalizeHelper(o);
-      }
-      return next;
-    }
-  }
-
-  /**
-   * Returns a GeneralizedCounter conditioned on the given top level object.
-   * This is just shorthand (and more efficient) for <code>conditionalize(new Object[] { o })</code>.
-   */
-  public GeneralizedCounter<K> conditionalizeOnce(K o) {
-    if (depth() < 1) {
-      throw new RuntimeException("Error -- attempted to conditionalize a GeneralizedCounter of depth " + depth());
-    } else {
-      return conditionalizeHelper(o);
-    }
-  }
-
-  /**
-   * equivalent to incrementCount(l,o,1.0).
-   */
-  public void incrementCount(List<K> l, K o) {
-    incrementCount(l, o, 1.0);
-  }
-
-  /**
-   * same as incrementCount(List, double) but as if Object o were at the end of the list
-   */
-  public void incrementCount(List<K> l, K o, double count) {
-    if (l.size() != depth - 1) {
-      wrongDepth();
-    }
-
-    GeneralizedCounter<K> next = this;
-    for (K o2: l) {
-      next.addToTotal(count);
-      next = next.conditionalizeHelper(o2);
-    }
-    next.addToTotal(count);
-
-    next.incrementCount1D(o, count);
-  }
-
-
-  /**
-   * Equivalent to incrementCount(l, 1.0).
-   */
-  public void incrementCount(List<K> l) {
-    incrementCount(l, 1.0);
-  }
-
-  /**
-   * adds to count for the {@link #depth()}-dimensional key <code>l</code>.
-   */
-  public void incrementCount(List<K> l, double count) {
-    if (l.size() != depth) {
-      wrongDepth(); //throws exception
-    }
-
-    GeneralizedCounter<K> next = this;
-    Iterator<K> i = l.iterator();
-    K o = i.next();
-    while (i.hasNext()) {
-      next.addToTotal(count);
-      next = next.conditionalizeHelper(o);
-      o = i.next();
-    }
-    next.incrementCount1D(o, count);
-  }
-
-  /**
-   * Equivalent to incrementCount2D(first,second,1.0).
-   */
-  public void incrementCount2D(K first, K second) {
-    incrementCount2D(first, second, 1.0);
-  }
-
-  /**
-   * Equivalent to incrementCount( new Object[] { first, second }, count ).
-   * Makes the special case easier, and also more efficient.
-   */
-  public void incrementCount2D(K first, K second, double count) {
-    if (depth != 2) {
-      wrongDepth(); //throws exception
-    }
-
-    this.addToTotal(count);
-    GeneralizedCounter<K> next = this.conditionalizeHelper(first);
-    next.incrementCount1D(second, count);
-  }
-
-  /**
-   * Equivalent to incrementCount3D(first,second,1.0).
-   */
-  public void incrementCount3D(K first, K second, K third) {
-    incrementCount3D(first, second, third, 1.0);
-  }
-
-  /**
-   * Equivalent to incrementCount( new Object[] { first, second, third }, count ).
-   * Makes the special case easier, and also more efficient.
-   */
-  public void incrementCount3D(K first, K second, K third, double count) {
-    if (depth != 3) {
-      wrongDepth(); //throws exception
-    }
-
-    this.addToTotal(count);
-    GeneralizedCounter<K> next = this.conditionalizeHelper(first);
-    next.incrementCount2D(second, third, count);
-  }
-
-  private void addToTotal(double d) {
-    total += d;
-  }
-
-  // for more efficient memory usage
-  private transient MutableDouble tempMDouble = null;
-
-
-  /**
-   * Equivalent to incrementCount1D(o, 1.0).
-   */
-  public void incrementCount1D(K o) {
-    incrementCount1D(o, 1.0);
-  }
-
-  /**
-   * Equivalent to <code>{@link #incrementCount}({o}, count)</code>;
-   * only works for a depth 1 GeneralizedCounter.
-   */
-  public void incrementCount1D(K o, double count) {
-    if (depth > 1) {
-      wrongDepth();
-    }
-
-    addToTotal(count);
-
-    if (tempMDouble == null) {
-      tempMDouble = new MutableDouble();
-    }
-    tempMDouble.set(count);
-    MutableDouble oldMDouble = (MutableDouble) map.put(o, tempMDouble);
-
-    if (oldMDouble != null) {
-      tempMDouble.set(count + oldMDouble.doubleValue());
-    }
-
-    tempMDouble = oldMDouble;
-
-  }
-
-  /**
-   * Like {@link ClassicCounter}, this currently returns true if the count is
-   * explicitly 0.0 for something
-   */
-  public boolean containsKey(List<K> key) {
-    //     if(! (key instanceof Object[]))
-    //       return false;
-    //    Object[] o = (Object[]) key;
-    GeneralizedCounter<K> next = this;
-    for (int i=0; i<key.size()-1; i++) {
-      next = next.conditionalizeHelper(key.get(i));
-      if (next==null) return false;
-    }
-    return next.map.containsKey(key.get(key.size()-1));
-  }
-
-  public GeneralizedCounter<K> reverseKeys() {
-    GeneralizedCounter<K> result = new GeneralizedCounter<K>();
-    Set<Map.Entry<List<K>,Double>> entries = entrySet();
-    for (Map.Entry<List<K>,Double> entry: entries) {
-      List<K> list = entry.getKey();
-      double count = entry.getValue();
-      Collections.reverse(list);
-      result.incrementCount(list, count);
-    }
-    return result;
-  }
-
-
-  private void wrongDepth() {
-    throw new RuntimeException("Error -- attempt to operate with key of wrong length. depth=" + depth);
-  }
-
-
-  /**
-   * Returns a read-only synchronous view (not a snapshot) of
-   * <code>this</code> as a {@link ClassicCounter}.  Any calls to
-   * count-changing or entry-removing operations will result in an
-   * {@link UnsupportedOperationException}.  At some point in the
-   * future, this view may gain limited writable functionality.
-   */
-  public ClassicCounter<List<K>> counterView() {
-    return new CounterView();
-  }
-
-  private class CounterView extends ClassicCounter<List<K>> {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = -1241712543674668918L;
-
-    @Override
-    public double incrementCount(List<K> o, double count) {
-      throw new UnsupportedOperationException();
-    }
-
-    @Override
-    public void setCount(List<K> o, double count) {
-      throw new UnsupportedOperationException();
-    }
-
-    @Override
-    public double totalCount() {
-      return GeneralizedCounter.this.totalCount();
-    }
-
-    @Override
-    public double getCount(Object o) {
-      List<K> l = (List<K>)o;
-      if (l.size() != depth) {
-        return 0.0;
-      } else {
-        return GeneralizedCounter.this.getCounts(l)[depth];
-      }
-    }
-
-    @Override
-    public int size() {
-      return GeneralizedCounter.this.map.size();
-    }
-
-    @Override
-    public Set<List<K>> keySet() {
-      return GeneralizedCounter.this.keySet();
-    }
-
-    @Override
-    public double remove(List<K> o) {
-      throw new UnsupportedOperationException();
-    }
-
-    @Override
-    public boolean containsKey(List<K> key) {
-      return GeneralizedCounter.this.containsKey(key);
-    }
-
-    @Override
-    public void clear() {
-      throw new UnsupportedOperationException();
-    }
-
-    @Override
-    public boolean isEmpty() {
-      return GeneralizedCounter.this.isEmpty();
-    }
-
-    @Override
-    public Set<Map.Entry<List<K>, Double>> entrySet() {
-      return GeneralizedCounter.this.entrySet();
-    }
-
-    @Override
-    public boolean equals(Object o) {
-      if (o == this) {
-        return true;
-      }
-      //return false;
-      if (!(o instanceof ClassicCounter)) {
-        return false;
-      } else {
-        // System.out.println("it's a counter!");
-        // Set e = entrySet();
-        // Set e1 = ((Counter) o).entrySet();
-        // System.out.println(e + "\n" + e1);
-        return entrySet().equals(((ClassicCounter<?>) o).entrySet());
-      }
-    }
-
-    @Override
-    public int hashCode() {
-      int total = 17;
-      for (Object o: entrySet()) {
-        total = 37 * total + o.hashCode();
-      }
-      return total;
-    }
-
-    @Override
-    public String toString() {
-      StringBuffer sb = new StringBuffer("{");
-      for (Iterator<Map.Entry<List<K>, Double>> i = entrySet().iterator(); i.hasNext();) {
-        Map.Entry<List<K>, Double> e = i.next();
-        sb.append(e.toString());
-        if (i.hasNext()) {
-          sb.append(",");
-        }
-      }
-      sb.append("}");
-      return sb.toString();
-    }
-
-  } // end class CounterView
-
-
-  /**
-   * Returns a read-only synchronous view (not a snapshot) of
-   * <code>this</code> as a {@link ClassicCounter}.  Works only with one-dimensional
-   * GeneralizedCounters.  Exactly like {@link #counterView}, except
-   * that {@link #getCount} operates on primitive objects of the counter instead
-   * of singleton lists.  Any calls to
-   * count-changing or entry-removing operations will result in an
-   * {@link UnsupportedOperationException}.  At some point in the
-   * future, this view may gain limited writable functionality.
-   */
-  public ClassicCounter<K> oneDimensionalCounterView() {
-    if (depth != 1) {
-      throw new UnsupportedOperationException();
-    }
-    return new OneDimensionalCounterView();
-  }
-
-  private class OneDimensionalCounterView extends ClassicCounter<K> {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = 5628505169749516972L;
-
-    @Override
-    public double incrementCount(K o, double count) {
-      throw new UnsupportedOperationException();
-    }
-
-    @Override
-    public void setCount(K o, double count) {
-      throw new UnsupportedOperationException();
-    }
-
-    @Override
-    public double totalCount() {
-      return GeneralizedCounter.this.totalCount();
-    }
-
-    @Override
-    public double getCount(Object o) {
-      return GeneralizedCounter.this.getCount(o);
-    }
-
-    @Override
-    public int size() {
-      return GeneralizedCounter.this.map.size();
-    }
-
-    @Override
-    public Set<K> keySet() {
-      return ErasureUtils.<Set<K>>uncheckedCast(GeneralizedCounter.this.keySet(new HashSet<Object>(), zeroKey, false));
-    }
-
-    @Override
-    public double remove(Object o) {
-      throw new UnsupportedOperationException();
-    }
-
-    @Override
-    public boolean containsKey(Object key) {
-      return GeneralizedCounter.this.map.containsKey(key);
-    }
-
-    @Override
-    public void clear() {
-      throw new UnsupportedOperationException();
-    }
-
-    @Override
-    public boolean isEmpty() {
-      return GeneralizedCounter.this.isEmpty();
-    }
-
-    @Override
-    public Set<Map.Entry<K, Double>> entrySet() {
-      return ErasureUtils.<Set<Map.Entry<K, Double>>>uncheckedCast(GeneralizedCounter.this.entrySet(new HashSet<Map.Entry<Object, Double>>(), zeroKey, false));
-    }
-
-    @Override
-    public boolean equals(Object o) {
-      if (o == this) {
-        return true;
-      }
-      //return false;
-      if (!(o instanceof ClassicCounter)) {
-        return false;
-      } else {
-        // System.out.println("it's a counter!");
-        // Set e = entrySet();
-        // Set e1 = ((Counter) o).map.entrySet();
-        // System.out.println(e + "\n" + e1);
-        return entrySet().equals(((ClassicCounter<?>) o).entrySet());
-      }
-    }
-
-    @Override
-    public int hashCode() {
-      int total = 17;
-      for (Object o: entrySet()) {
-        total = 37 * total + o.hashCode();
-      }
-      return total;
-    }
-
-    @Override
-    public String toString() {
-      StringBuffer sb = new StringBuffer("{");
-      for (Iterator<Map.Entry<K, Double>> i = entrySet().iterator(); i.hasNext();) {
-        Map.Entry<K, Double> e = i.next();
-        sb.append(e.toString());
-        if (i.hasNext()) {
-          sb.append(",");
-        }
-      }
-      sb.append("}");
-      return sb.toString();
-    }
-
-  } // end class OneDimensionalCounterView
-
-
-  @Override
-  public String toString() {
-    return map.toString();
-  }
-
-  public String toString(String param) {
-    if (param.equals("contingency")) {
-      StringBuffer sb = new StringBuffer();
-      for (K obj: ErasureUtils.sortedIfPossible(topLevelKeySet())) {
-        sb.append(obj);
-        sb.append(" = ");
-        GeneralizedCounter<K> gc = conditionalizeOnce(obj);
-        sb.append(gc);
-        sb.append("\n");
-      }
-      return sb.toString();
-    } else if (param.equals("sorted")) {
-      StringBuffer sb = new StringBuffer();
-      sb.append("{\n");
-      for (K obj: ErasureUtils.sortedIfPossible(topLevelKeySet())) {
-        sb.append(obj);
-        sb.append(" = ");
-        GeneralizedCounter<K> gc = conditionalizeOnce(obj);
-        sb.append(gc);
-        sb.append("\n");
-      }
-      sb.append("}\n");
-      return sb.toString();
-    } else {
-      return toString();
-    }
-  }
-
-
-  /**
-   * for testing purposes only
-   */
-  public static void main(String[] args) {
-
-    Object[] a1 = new Object[]{"a", "b"};
-    Object[] a2 = new Object[]{"a", "b"};
-
-    System.out.println(a1.equals(a2));
-
-
-    GeneralizedCounter<String> gc = new GeneralizedCounter<String>(3);
-    gc.incrementCount(Arrays.asList(new String[]{"a", "j", "x"}), 3.0);
-    gc.incrementCount(Arrays.asList(new String[]{"a", "l", "x"}), 3.0);
-    gc.incrementCount(Arrays.asList(new String[]{"b", "k", "y"}), 3.0);
-    gc.incrementCount(Arrays.asList(new String[]{"b", "k", "z"}), 3.0);
-
-    System.out.println("incremented counts.");
-
-    System.out.println(gc.dumpKeys());
-
-    System.out.println("string representation of generalized counter:");
-    System.out.println(gc.toString());
-
-
-    gc.printKeySet();
-
-    System.out.println("entry set:\n" + gc.entrySet());
-
-
-    arrayPrintDouble(gc.getCounts(Arrays.asList(new String[]{"a", "j", "x"})));
-    arrayPrintDouble(gc.getCounts(Arrays.asList(new String[]{"a", "j", "z"})));
-    arrayPrintDouble(gc.getCounts(Arrays.asList(new String[]{"b", "k", "w"})));
-    arrayPrintDouble(gc.getCounts(Arrays.asList(new String[]{"b", "k", "z"})));
-
-    GeneralizedCounter<String> gc1 = gc.conditionalize(Arrays.asList(new String[]{"a"}));
-    gc1.incrementCount(Arrays.asList(new String[]{"j", "x"}));
-    gc1.incrementCount2D("j", "z");
-    GeneralizedCounter<String> gc2 = gc1.conditionalize(Arrays.asList(new String[]{"j"}));
-    gc2.incrementCount1D("x");
-    System.out.println("Pretty-printing gc after incrementing gc1:");
-    gc.prettyPrint();
-    System.out.println("Total: " + gc.totalCount());
-
-    gc1.printKeySet();
-    System.out.println("another entry set:\n" + gc1.entrySet());
-
-
-    ClassicCounter<List<String>> c = gc.counterView();
-
-    System.out.println("string representation of counter view:");
-    System.out.println(c.toString());
-
-    double d1 = c.getCount(Arrays.asList(new String[]{"a", "j", "x"}));
-    double d2 = c.getCount(Arrays.asList(new String[]{"a", "j", "w"}));
-
-    System.out.println(d1 + " " + d2);
-
-
-    ClassicCounter<List<String>> c1 = gc1.counterView();
-
-    System.out.println("Count of {j,x} -- should be 3.0\t" + c1.getCount(Arrays.asList(new String[]{"j", "x"})));
-
-
-    System.out.println(c.keySet() + " size " + c.keySet().size());
-    System.out.println(c1.keySet() + " size " + c1.keySet().size());
-
-    System.out.println(c1.equals(c));
-    System.out.println(c.equals(c1));
-    System.out.println(c.equals(c));
-
-    System.out.println("### testing equality of regular Counter...");
-
-    ClassicCounter<String> z1 = new ClassicCounter<String>();
-    ClassicCounter<String> z2 = new ClassicCounter<String>();
-
-    z1.incrementCount("a1");
-    z1.incrementCount("a2");
-
-    z2.incrementCount("b");
-
-    System.out.println(z1.equals(z2));
-
-    System.out.println(z1.toString());
-    System.out.println(z1.keySet().toString());
-
-
-  }
-
-
-  // below is testing code
-
-  private void printKeySet() {
-    Set<?> keys = keySet();
-    System.out.println("printing keyset:");
-    for (Object o: keys) {
-      //System.out.println(Arrays.asList((Object[]) i.next()));
-      System.out.println(o);
-    }
-  }
-
-
-  private static void arrayPrintDouble(double[] o) {
-    for (int i = 0, n = o.length; i < n; i++) {
-      System.out.print(o[i] + "\t");
-    }
-    System.out.println();
-  }
-
-  private Set<?> dumpKeys() {
-    return map.keySet();
-  }
-
-  /**
-   * pretty-prints the GeneralizedCounter to {@link System#out}.
-   */
-  public void prettyPrint() {
-    prettyPrint(new PrintWriter(System.out, true));
-  }
-
-  /**
-   * pretty-prints the GeneralizedCounter, using a buffer increment of two spaces.
-   */
-  public void prettyPrint(PrintWriter pw) {
-    prettyPrint(pw, "  ");
-  }
-
-  /**
-   * pretty-prints the GeneralizedCounter.
-   */
-  public void prettyPrint(PrintWriter pw, String bufferIncrement) {
-    prettyPrint(pw, "", bufferIncrement);
-  }
-
-  private void prettyPrint(PrintWriter pw, String buffer, String bufferIncrement) {
-    if (depth == 1) {
-      for (Map.Entry<?, Double> e: entrySet()) {
-        Object key = e.getKey();
-        double count = e.getValue();
-        pw.println(buffer + key + "\t" + count);
-      }
-    } else {
-      for (K key: topLevelKeySet()) {
-        GeneralizedCounter<K> gc1 = conditionalize(Arrays.asList(ErasureUtils.<K[]>uncheckedCast(new Object[]{key})));
-        pw.println(buffer + key + "\t" + gc1.totalCount());
-        gc1.prettyPrint(pw, buffer + bufferIncrement, bufferIncrement);
-      }
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/IntCounter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/IntCounter.java
deleted file mode 100644
index 773cba6..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/IntCounter.java
+++ /dev/null
@@ -1,787 +0,0 @@
-package edu.stanford.nlp.stats;
-
-import java.io.Serializable;
-import java.text.NumberFormat;
-import java.util.AbstractCollection;
-import java.util.AbstractSet;
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.Collections;
-import java.util.Comparator;
-import java.util.HashSet;
-import java.util.Iterator;
-import java.util.List;
-import java.util.Map;
-import java.util.Set;
-import java.util.Map.Entry;
-
-import edu.stanford.nlp.util.ErasureUtils;
-import edu.stanford.nlp.util.Factory;
-import edu.stanford.nlp.util.Filter;
-import edu.stanford.nlp.util.MapFactory;
-import edu.stanford.nlp.util.MutableInteger;
-
-/**
- * A specialized kind of hash table (or map) for storing numeric counts for
- * objects. It works like a Map,
- * but with different methods for easily getting/setting/incrementing counts
- * for objects and computing various functions with the counts.
- * The Counter constructor
- * and <tt>addAll</tt> method can be used to copy another Counter's contents
- * over. This class also provides access
- * to Comparators that can be used to sort the keys or entries of this Counter
- * by the counts, in either ascending or descending order.
- *
- * @author Dan Klein (klein@cs.stanford.edu)
- * @author Joseph Smarr (jsmarr@stanford.edu)
- * @author Teg Grenager (grenager@stanford.edu)
- * @author Galen Andrew
- * @author Christopher Manning
- */
-public class IntCounter<E> extends AbstractCounter<E> implements Serializable {
-
-  @SuppressWarnings({"NonSerializableFieldInSerializableClass"})
-  private Map<E, MutableInteger>  map;
-  @SuppressWarnings("unchecked")
-  private MapFactory mapFactory;
-  private int totalCount;
-  private int defaultValue; // = 0;
-
-  /**
-   * Default comparator for breaking ties in argmin and argmax.
-   */
-  private static final Comparator<Object> naturalComparator = new NaturalComparator<Object>();
-  private static final long serialVersionUID = 4;
-
-  // CONSTRUCTORS
-
-  /**
-   * Constructs a new (empty) Counter.
-   */
-  public IntCounter() {
-    this(MapFactory.<E,MutableInteger>hashMapFactory());
-  }
-
-  /**
-   * Pass in a MapFactory and the map it vends will back your counter.
-   */
-  public IntCounter(MapFactory<E,MutableInteger> mapFactory) {
-    this.mapFactory = mapFactory;
-    map = mapFactory.newMap();
-    totalCount = 0;
-  }
-
-  /**
-   * Constructs a new Counter with the contents of the given Counter.
-   */
-  public IntCounter(IntCounter<E> c) {
-    this();
-    addAll(c);
-  }
-
-
-  // STANDARD ACCESS MODIFICATION METHODS
-  public MapFactory<E, MutableInteger> getMapFactory() {
-    return ErasureUtils.<MapFactory<E,MutableInteger>>uncheckedCast(mapFactory);
-  }
-
-  public void setDefaultReturnValue(double rv) {
-    defaultValue = (int) rv;
-  }
-
-  public void setDefaultReturnValue(int rv) {
-    defaultValue = rv;
-  }
-
-  public double defaultReturnValue() {
-    return defaultValue;
-  }
-
-
-  /**
-   * Returns the current total count for all objects in this Counter.
-   * All counts are summed each time, so cache it if you need it repeatedly.
-   * @return The current total count for all objects in this Counter.
-   */
-  public int totalIntCount() {
-    return totalCount;
-  }
-
-  public double totalDoubleCount() {
-    return totalCount;
-  }
-
-  /**
-   * Returns the total count for all objects in this Counter that pass the
-   * given Filter. Passing in a filter that always returns true is equivalent
-   * to calling {@link #totalCount()}.
-   */
-  public int totalIntCount(Filter<E> filter) {
-    int total = 0;
-    for (E key : map.keySet()) {
-      if (filter.accept(key)) {
-        total += getIntCount(key);
-      }
-    }
-    return (total);
-  }
-
-  public double totalDoubleCount(Filter<E> filter) {
-    return totalIntCount(filter);
-  }
-
-  public double totalCount(Filter<E> filter) {
-    return totalDoubleCount(filter);
-  }
-
-  /**
-   * Returns the mean of all the counts (totalCount/size).
-   */
-  public double averageCount() {
-    return totalCount() / map.size();
-  }
-
-  /**
-   * Returns the current count for the given key, which is 0 if it hasn't
-   * been
-   * seen before. This is a convenient version of <code>get</code> that casts
-   * and extracts the primitive value.
-   */
-  public double getCount(Object key) {
-    return getIntCount(key);
-  }
-
-  public String getCountAsString(E key) {
-    return Integer.toString(getIntCount(key));
-  }
-
-  /**
-   * Returns the current count for the given key, which is 0 if it hasn't
-   * been
-   * seen before. This is a convenient version of <code>get</code> that casts
-   * and extracts the primitive value.
-   */
-  public int getIntCount(Object key) {
-    MutableInteger count =  map.get(key);
-    if (count == null) {
-      return defaultValue; // haven't seen this object before -> 0 count
-    }
-    return count.intValue();
-  }
-
-  /**
-   * This has been de-deprecated in order to reduce compilation warnings, but
-   * really you should create a {@link edu.stanford.nlp.stats.Distribution} instead of using this method.
-   */
-  public double getNormalizedCount(E key) {
-    return getCount(key) / (totalCount());
-  }
-
-  /**
-   * Sets the current count for the given key. This will wipe out any existing
-   * count for that key.
-   * <p/>
-   * To add to a count instead of replacing it, use
-   * {@link #incrementCount(Object,int)}.
-   */
-  public void setCount(E key, int count) {
-    if (tempMInteger == null) {
-      tempMInteger = new MutableInteger();
-    }
-    tempMInteger.set(count);
-    tempMInteger = map.put(key, tempMInteger);
-
-
-    totalCount += count;
-    if (tempMInteger != null) {
-      totalCount -= tempMInteger.intValue();
-    }
-
-  }
-
-  public void setCount(E key, String s) {
-    setCount(key, Integer.parseInt(s));
-  }
-
-  // for more efficient memory usage
-  private transient MutableInteger tempMInteger = null;
-
-  /**
-   * Sets the current count for each of the given keys. This will wipe out
-   * any existing counts for these keys.
-   * <p/>
-   * To add to the counts of a collection of objects instead of replacing them,
-   * use {@link #incrementCounts(Collection,int)}.
-   */
-  public void setCounts(Collection<E> keys, int count) {
-    for (E key : keys) {
-      setCount(key, count);
-    }
-  }
-
-  /**
-   * Adds the given count to the current count for the given key. If the key
-   * hasn't been seen before, it is assumed to have count 0, and thus this
-   * method will set its count to the given amount. Negative increments are
-   * equivalent to calling <tt>decrementCount</tt>.
-   * <p/>
-   * To more conveniently increment the count by 1, use
-   * {@link #incrementCount(Object)}.
-   * <p/>
-   * To set a count to a specific value instead of incrementing it, use
-   * {@link #setCount(Object,int)}.
-   */
-  public int incrementCount(E key, int count) {
-    if (tempMInteger == null) {
-      tempMInteger = new MutableInteger();
-    }
-
-    MutableInteger oldMInteger = map.put(key, tempMInteger);
-    totalCount += count;
-    if (oldMInteger != null) {
-      count += oldMInteger.intValue();
-    }
-    tempMInteger.set(count);
-    tempMInteger = oldMInteger;
-
-    return count;
-  }
-
-  /**
-   * Adds 1 to the count for the given key. If the key hasn't been seen
-   * before, it is assumed to have count 0, and thus this method will set
-   * its count to 1.
-   * <p/>
-   * To increment the count by a value other than 1, use
-   * {@link #incrementCount(Object,int)}.
-   * <p/>
-   * To set a count to a specific value instead of incrementing it, use
-   * {@link #setCount(Object,int)}.
-   */
-  @Override
-  public double incrementCount(E key) {
-    return incrementCount(key, 1);
-  }
-
-  /**
-   * Adds the given count to the current counts for each of the given keys.
-   * If any of the keys haven't been seen before, they are assumed to have
-   * count 0, and thus this method will set their counts to the given
-   * amount. Negative increments are equivalent to calling <tt>decrementCounts</tt>.
-   * <p/>
-   * To more conveniently increment the counts of a collection of objects by
-   * 1, use {@link #incrementCounts(Collection)}.
-   * <p/>
-   * To set the counts of a collection of objects to a specific value instead
-   * of incrementing them, use {@link #setCounts(Collection,int)}.
-   */
-  public void incrementCounts(Collection<E> keys, int count) {
-    for (E key : keys) {
-      incrementCount(key, count);
-    }
-  }
-
-  /**
-   * Adds 1 to the counts for each of the given keys. If any of the keys
-   * haven't been seen before, they are assumed to have count 0, and thus
-   * this method will set their counts to 1.
-   * <p/>
-   * To increment the counts of a collection of object by a value other
-   * than 1, use {@link #incrementCounts(Collection,int)}.
-   * <p/>
-   * To set the counts of a collection of objects  to a specific value instead
-   * of incrementing them, use  {@link #setCounts(Collection,int)}.
-   */
-  public void incrementCounts(Collection<E> keys) {
-    incrementCounts(keys, 1);
-  }
-
-  /**
-   * Subtracts the given count from the current count for the given key.
-   * If the key hasn't been seen before, it is assumed to have count 0, and
-   * thus this  method will set its count to the negative of the given amount.
-   * Negative increments are equivalent to calling <tt>incrementCount</tt>.
-   * <p/>
-   * To more conviently decrement the count by 1, use
-   * {@link #decrementCount(Object)}.
-   * <p/>
-   * To set a count to a specifc value instead of decrementing it, use
-   * {@link #setCount(Object,int)}.
-   */
-  public int decrementCount(E key, int count) {
-    return incrementCount(key, -count);
-  }
-
-  /**
-   * Subtracts 1 from the count for the given key. If the key hasn't been
-   * seen  before, it is assumed to have count 0, and thus this method will
-   * set its count to -1.
-   * <p/>
-   * To decrement the count by a value other than 1, use
-   * {@link #decrementCount(Object,int)}.
-   * <p/>
-   * To set a count to a specifc value instead of decrementing it, use
-   * {@link #setCount(Object,int)}.
-   */
-  @Override
-  public double decrementCount(E key) {
-    return decrementCount(key, 1);
-  }
-
-  /**
-   * Subtracts the given count from the current counts for each of the given keys.
-   * If any of the keys haven't been seen before, they are assumed to have
-   * count 0, and thus this method will set their counts to the negative of the given
-   * amount. Negative increments are equivalent to calling <tt>incrementCount</tt>.
-   * <p/>
-   * To more conviniently decrement the counts of a collection of objects by
-   * 1, use {@link #decrementCounts(Collection)}.
-   * <p/>
-   * To set the counts of a collection of objects to a specific value instead
-   * of decrementing them, use {@link #setCounts(Collection,int)}.
-   */
-  public void decrementCounts(Collection<E> keys, int count) {
-    incrementCounts(keys, -count);
-  }
-
-  /**
-   * Subtracts 1 from the counts of each of the given keys. If any of the keys
-   * haven't been seen before, they are assumed to have count 0, and thus
-   * this method will set their counts to -1.
-   * <p/>
-   * To decrement the counts of a collection of object by a value other
-   * than 1, use {@link #decrementCounts(Collection,int)}.
-   * <p/>
-   * To set the counts of a collection of objects  to a specifc value instead
-   * of decrementing them, use  {@link #setCounts(Collection,int)}.
-   */
-  public void decrementCounts(Collection<E> keys) {
-    decrementCounts(keys, 1);
-  }
-
-  /**
-   * Adds the counts in the given Counter to the counts in this Counter.
-   * <p/>
-   * To copy the values from another Counter rather than adding them, use
-   */
-  public void addAll(IntCounter<E> counter) {
-    for (E key : counter.keySet()) {
-      int count = counter.getIntCount(key);
-      incrementCount(key, count);
-    }
-  }
-
-  /**
-   * Subtracts the counts in the given Counter from the counts in this Counter.
-   * <p/>
-   * To copy the values from another Counter rather than subtracting them, use
-   */
-  public void subtractAll(IntCounter<E> counter) {
-    for (E key : map.keySet()) {
-      decrementCount(key, counter.getIntCount(key));
-    }
-  }
-
-  // MAP LIKE OPERATIONS
-
-  public boolean containsKey(E key) {
-    return map.containsKey(key);
-  }
-
-  /**
-   * Removes the given key from this Counter. Its count will now be 0 and it
-   * will no longer be considered previously seen.
-   */
-  public double remove(E key) {
-    totalCount -= getCount(key); // subtract removed count from total (may be 0)
-    MutableInteger val = map.remove(key);
-    if (val == null) {
-      return Double.NaN;
-    } else {
-      return val.doubleValue();
-    }
-  }
-
-  /**
-   * Removes all the given keys from this Counter.
-   */
-  public void removeAll(Collection<E> c) {
-    for (E key : c) {
-      remove(key);
-    }
-  }
-
-  /**
-   * Removes all counts from this Counter.
-   */
-  public void clear() {
-    map.clear();
-    totalCount = 0;
-  }
-
-  public int size() {
-    return map.size();
-  }
-
-  public boolean isEmpty() {
-    return size() == 0;
-  }
-
-  public Set<E> keySet() {
-    return map.keySet();
-  }
-
-  /**
-   * Returns a view of the doubles in this map.  Can be safely modified.
-   */
-  public Set<Map.Entry<E,Double>> entrySet() {
-    return new AbstractSet<Map.Entry<E,Double>>() {
-      @Override
-      public Iterator<Entry<E, Double>> iterator() {
-        return new Iterator<Entry<E,Double>>() {
-          final Iterator<Entry<E,MutableInteger>> inner = map.entrySet().iterator();
-
-          public boolean hasNext() {
-            return inner.hasNext();
-          }
-
-          public Entry<E, Double> next() {
-            return new Map.Entry<E,Double>() {
-              final Entry<E,MutableInteger> e = inner.next();
-
-              public E getKey() {
-                return e.getKey();
-              }
-
-              public Double getValue() {
-                return e.getValue().doubleValue();
-              }
-
-              public Double setValue(Double value) {
-                final double old = e.getValue().doubleValue();
-                e.getValue().set(value.intValue());
-                totalCount = totalCount - (int)old + value.intValue();
-                return old;
-              }
-            };
-          }
-
-          public void remove() {
-            throw new UnsupportedOperationException();
-          }
-        };
-      }
-
-      @Override
-      public int size() {
-        return map.size();
-      }
-    };
-  }
-
-  // OBJECT STUFF
-
-  @SuppressWarnings("unchecked")
-  @Override
-  public boolean equals(Object o) {
-    if (this == o) {
-      return true;
-    }
-    if (!(o instanceof IntCounter)) {
-      return false;
-    }
-
-    final IntCounter counter = (IntCounter) o;
-
-    return map.equals(counter.map);
-  }
-
-  @Override
-  public int hashCode() {
-    return map.hashCode();
-  }
-
-  @Override
-  public String toString() {
-    return map.toString();
-  }
-
-
-  @SuppressWarnings("unchecked")
-  public String toString(NumberFormat nf, String preAppend, String postAppend, String keyValSeparator, String itemSeparator) {
-    StringBuilder sb = new StringBuilder();
-    sb.append(preAppend);
-    List<E> list = new ArrayList<E>(map.keySet());
-    try {
-      Collections.sort((List)list); // see if it can be sorted
-    } catch (Exception e) {
-    }
-    for (Iterator<E> iter = list.iterator(); iter.hasNext();) {
-      Object key = iter.next();
-      MutableInteger d = map.get(key);
-      sb.append(key + keyValSeparator);
-      sb.append(nf.format(d));
-      if (iter.hasNext()) {
-        sb.append(itemSeparator);
-      }
-    }
-    sb.append(postAppend);
-    return sb.toString();
-  }
-
-
-  @SuppressWarnings("unchecked")
-  public String toString(NumberFormat nf) {
-    StringBuilder sb = new StringBuilder();
-    sb.append("{");
-    List<E> list = new ArrayList<E>(map.keySet());
-    try {
-      Collections.sort((List)list); // see if it can be sorted
-    } catch (Exception e) {
-    }
-    for (Iterator<E> iter = list.iterator(); iter.hasNext();) {
-      Object key = iter.next();
-      MutableInteger d = map.get(key);
-      sb.append(key + "=");
-      sb.append(nf.format(d));
-      if (iter.hasNext()) {
-        sb.append(", ");
-      }
-    }
-    sb.append("}");
-    return sb.toString();
-  }
-
-  @Override
-  public Object clone() {
-    return new IntCounter<E>(this);
-  }
-
-  // EXTRA CALCULATION METHODS
-
-  /**
-   * Removes all keys whose count is 0. After incrementing and decrementing
-   * counts or adding and subtracting Counters, there may be keys left whose
-   * count is 0, though normally this is undesirable. This method cleans up
-   * the map.
-   * <p/>
-   * Maybe in the future we should try to do this more on-the-fly, though it's
-   * not clear whether a distinction should be made between "never seen" (i.e.
-   * null count) and "seen with 0 count". Certainly there's no distinction in
-   * getCount() but there is in containsKey().
-   */
-  public void removeZeroCounts() {
-    for (Iterator<E> iter = map.keySet().iterator(); iter.hasNext();) {
-      if (getCount(iter.next()) == 0) {
-        iter.remove();
-      }
-    }
-  }
-
-  /**
-   * Finds and returns the largest count in this Counter.
-   */
-  public int max() {
-    int max = Integer.MIN_VALUE;
-    for (E key : map.keySet()) {
-      max = Math.max(max, getIntCount(key));
-    }
-    return max;
-  }
-
-  public double doubleMax() {
-    return max();
-  }
-
-  /**
-   * Finds and returns the smallest count in this Counter.
-   */
-  public int min() {
-    int min = Integer.MAX_VALUE;
-    for (E key : map.keySet()) {
-      min = Math.min(min, getIntCount(key));
-    }
-    return min;
-  }
-
-  /**
-   * Finds and returns the key in this Counter with the largest count.
-   * Ties are broken by comparing the objects using the given tie breaking
-   * Comparator, favoring Objects that are sorted to the front. This is useful
-   * if the keys are numeric and there is a bias to prefer smaller or larger
-   * values, and can be useful in other circumstances where random tie-breaking
-   * is not desirable. Returns null if this Counter is empty.
-   */
-  public E argmax(Comparator<E> tieBreaker) {
-    int max = Integer.MIN_VALUE;
-    E argmax = null;
-    for (E key : keySet()) {
-      int count = getIntCount(key);
-      if (argmax == null || count > max || (count == max && tieBreaker.compare(key, argmax) < 0)) {
-        max = count;
-        argmax = key;
-      }
-    }
-    return argmax;
-  }
-
-
-  /**
-   * Finds and returns the key in this Counter with the largest count.
-   * Ties are broken according to the natural ordering of the objects.
-   * This will prefer smaller numeric keys and lexicographically earlier
-   * String keys. To use a different tie-breaking Comparator, use
-   * {@link #argmax(Comparator)}. Returns null if this Counter is empty.
-   */
-  public E argmax() {
-    return argmax(ErasureUtils.<Comparator<E>>uncheckedCast(naturalComparator));
-  }
-
-  /**
-   * Finds and returns the key in this Counter with the smallest count.
-   * Ties are broken by comparing the objects using the given tie breaking
-   * Comparator, favoring Objects that are sorted to the front. This is useful
-   * if the keys are numeric and there is a bias to prefer smaller or larger
-   * values, and can be useful in other circumstances where random tie-breaking
-   * is not desirable. Returns null if this Counter is empty.
-   */
-  public E argmin(Comparator<E> tieBreaker) {
-    int min = Integer.MAX_VALUE;
-    E argmin = null;
-    for (E key : map.keySet()) {
-      int count = getIntCount(key);
-      if (argmin == null || count < min || (count == min && tieBreaker.compare(key, argmin) < 0)) {
-        min = count;
-        argmin = key;
-      }
-    }
-    return argmin;
-  }
-
-  /**
-   * Finds and returns the key in this Counter with the smallest count.
-   * Ties are broken according to the natural ordering of the objects.
-   * This will prefer smaller numeric keys and lexicographically earlier
-   * String keys. To use a different tie-breaking Comparator, use
-   * {@link #argmin(Comparator)}. Returns null if this Counter is empty.
-   */
-  public E argmin() {
-    return argmin(ErasureUtils.<Comparator<E>>uncheckedCast(naturalComparator));
-  }
-
-  /**
-   * Returns the set of keys whose counts are at or above the given threshold.
-   * This set may have 0 elements but will not be null.
-   */
-  public Set<E> keysAbove(int countThreshold) {
-    Set<E> keys = new HashSet<E>();
-    for (E key : map.keySet()) {
-      if (getIntCount(key) >= countThreshold) {
-        keys.add(key);
-      }
-    }
-    return keys;
-  }
-
-  /**
-   * Returns the set of keys whose counts are at or below the given threshold.
-   * This set may have 0 elements but will not be null.
-   */
-  public Set<E> keysBelow(int countThreshold) {
-    Set<E> keys = new HashSet<E>();
-    for (E key : map.keySet()) {
-      if (getIntCount(key) <= countThreshold) {
-        keys.add(key);
-      }
-    }
-    return keys;
-  }
-
-  /**
-   * Returns the set of keys that have exactly the given count.
-   * This set may have 0 elements but will not be null.
-   */
-  public Set<E> keysAt(int count) {
-    Set<E> keys = new HashSet<E>();
-    for (E key : map.keySet()) {
-      if (getIntCount(key) == count) {
-        keys.add(key);
-      }
-    }
-    return keys;
-  }
-
-  /**
-   * Comparator that uses natural ordering.
-   * Returns 0 if o1 is not Comparable.
-   */
-  private static class NaturalComparator<T> implements Comparator<T> {
-    public int compare(T o1, T o2) {
-      if (o1 instanceof Comparable) {
-        return ErasureUtils.<Comparable<T>>uncheckedCast(o1).compareTo(o2);
-      }
-      return 0; // soft-fail
-    }
-  }
-
-  //
-  // For compatibilty with the Counter interface
-  //
-
-  public Factory<Counter<E>> getFactory() {
-    return new Factory<Counter<E>>() {
-      private static final long serialVersionUID = 7470763055803428477L;
-
-      public Counter<E> create() {
-        return new IntCounter<E>(getMapFactory());
-      }
-    };
-  }
-
-  public void setCount(E key, double value) {
-    setCount(key, (int)value);
-  }
-
-  @Override
-  public double incrementCount(E key, double value) {
-    incrementCount(key, (int)value);
-    return getCount(key);
-  }
-
-  public double totalCount() {
-    return totalDoubleCount();
-  }
-
-  public Collection<Double> values() {
-    return new AbstractCollection<Double>() {
-      @Override
-      public Iterator<Double> iterator() {
-        return new Iterator<Double>() {
-          Iterator<MutableInteger> inner = map.values().iterator();
-
-          public boolean hasNext() {
-            return inner.hasNext();
-          }
-
-          public Double next() {
-            return inner.next().doubleValue();
-          }
-
-          public void remove() {
-            throw new UnsupportedOperationException();
-          }
-        };
-      }
-
-      @Override
-      public int size() {
-        return map.size();
-      }
-    };
-  }
-
-  public Iterator<E> iterator() {
-    return keySet().iterator();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/MultiClassAccuracyStats.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/MultiClassAccuracyStats.java
deleted file mode 100644
index 5ede7d5..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/MultiClassAccuracyStats.java
+++ /dev/null
@@ -1,186 +0,0 @@
-package edu.stanford.nlp.stats;
-
-import edu.stanford.nlp.classify.GeneralDataset;
-import edu.stanford.nlp.classify.ProbabilisticClassifier;
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.util.BinaryHeapPriorityQueue;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.PriorityQueue;
-import edu.stanford.nlp.util.StringUtils;
-
-import java.text.NumberFormat;
-import java.util.List;
-
-
-/**
- * @author Jenny Finkel
- */
-public class MultiClassAccuracyStats<L> implements Scorer<L> {
-  double[] scores; //sorted scores
-  boolean[] isCorrect; // is the i-th example correct
-  int numCorrect;
-  double logLikelihood;
-  double accuracy;
-  static String saveFile = null;
-  static int saveIndex = 1;
-
-  public static final int USE_ACCURACY = 1;
-  public static final int USE_LOGLIKELIHOOD = 2;
-
-  private int scoreType = USE_ACCURACY;
-
-
-  public MultiClassAccuracyStats(){
-  }
-
-  public MultiClassAccuracyStats(int scoreType){
-    this.scoreType = scoreType;
-  }
-
-  public MultiClassAccuracyStats(String file){
-    this(file, USE_ACCURACY);
-  }
-
-  public MultiClassAccuracyStats(String file, int scoreType){
-    saveFile=file;
-    this.scoreType = scoreType;
-  }
-
-  public <F> MultiClassAccuracyStats(ProbabilisticClassifier<L,F> classifier, GeneralDataset<L,F> data,String file) {
-    this(classifier, data, file, USE_ACCURACY);
-  }
-
-  public <F>  MultiClassAccuracyStats(ProbabilisticClassifier<L,F> classifier, GeneralDataset<L,F> data,String file, int scoreType) {
-    saveFile=file;
-    this.scoreType = scoreType;
-    initMC(classifier, data);
-  }
-
-  int correct = 0;
-  int total = 0;
-
-  public <F> double score(ProbabilisticClassifier<L,F> classifier, GeneralDataset<L,F> data) {
-      initMC(classifier,data);
-      return score();
-  }
-
-  public double score() {
-    if (scoreType == USE_ACCURACY) {
-      return accuracy;
-    } else if (scoreType == USE_LOGLIKELIHOOD) {
-      return logLikelihood;
-    } else {
-      throw new RuntimeException("Unknown score type: "+scoreType);
-    }
-  }
-
-  public int numSamples() {
-    return scores.length;
-  }
-
-  public double confidenceWeightedAccuracy() {
-    double acc = 0;
-    for (int recall = 1; recall <= numSamples(); recall++) {
-      acc += numCorrect(recall) / (double) recall;
-    }
-    return acc / numSamples();
-  }
-
-  public <F> void initMC(ProbabilisticClassifier<L,F> classifier, GeneralDataset<L,F> data) {
-    //if (!(gData instanceof Dataset)) {
-    //  throw new UnsupportedOperationException("Can only handle Datasets, not "+gData.getClass().getName());
-    //}
-    //
-    //Dataset data = (Dataset)gData;
-
-    PriorityQueue<Pair<Integer, Pair<Double, Boolean>>> q = new BinaryHeapPriorityQueue<Pair<Integer, Pair<Double, Boolean>>>();
-    total = 0;
-    correct = 0;
-    logLikelihood = 0.0;
-    for (int i = 0; i < data.size(); i++) {
-      Datum<L,F> d = data.getRVFDatum(i);
-      Counter<L> scores = classifier.logProbabilityOf(d);
-      L guess = Counters.argmax(scores);
-      L correctLab = d.label();
-      double guessScore = scores.getCount(guess);
-      double correctScore = scores.getCount(correctLab);
-      int guessInd = data.labelIndex().indexOf(guess);
-      int correctInd = data.labelIndex().indexOf(correctLab);
-
-      total++;
-      if (guessInd == correctInd) {
-        correct++;
-      }
-      logLikelihood += correctScore;
-      q.add(new Pair<Integer, Pair<Double, Boolean>>(Integer.valueOf(i), new Pair<Double, Boolean>(new Double(guessScore), Boolean.valueOf(guessInd == correctInd))), -guessScore);
-    }
-    accuracy = (double) correct / (double) total;
-    List<Pair<Integer, Pair<Double, Boolean>>> sorted = q.toSortedList();
-    scores = new double[sorted.size()];
-    isCorrect = new boolean[sorted.size()];
-
-    for (int i = 0; i < sorted.size(); i++) {
-      Pair<Double, Boolean> next = sorted.get(i).second();
-      scores[i] = next.first().doubleValue();
-      isCorrect[i] = next.second().booleanValue();
-    }
-
-  }
-
-  /**
-   * how many correct do we have if we return the most confident num recall ones
-   *
-   */
-  public int numCorrect(int recall) {
-    int correct = 0;
-    for (int j = scores.length - 1; j >= scores.length - recall; j--) {
-      if (isCorrect[j]) {
-        correct++;
-      }
-    }
-    return correct;
-  }
-
-
-  public int[] getAccCoverage() {
-    int[] arr = new int[numSamples()];
-    for (int recall = 1; recall <= numSamples(); recall++) {
-      arr[recall - 1] = numCorrect(recall);
-    }
-    return arr;
-  }
-
-  public String getDescription(int numDigits) {
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMaximumFractionDigits(numDigits);
-
-    StringBuffer sb = new StringBuffer();
-    double confWeightedAccuracy = confidenceWeightedAccuracy();
-    sb.append("--- Accuracy Stats ---").append("\n");
-    sb.append("accuracy: ").append(nf.format(accuracy)).append(" (").append(correct).append("/").append(total).append(")\n");
-    sb.append("confidence weighted accuracy :").append(nf.format(confWeightedAccuracy)).append("\n");
-    sb.append("log-likelihood: ").append(logLikelihood).append("\n");
-    if (saveFile != null) {
-      String f = saveFile + "-" + saveIndex;
-      sb.append("saving accuracy info to ").append(f).append(".accuracy\n");
-      StringUtils.printToFile(f + ".accuracy", AccuracyStats.toStringArr(getAccCoverage()));
-      saveIndex++;
-      //sb.append("accuracy coverage: ").append(toStringArr(accrecall)).append("\n");
-      //sb.append("optimal accuracy coverage: ").append(toStringArr(optaccrecall));
-    }
-    return sb.toString();
-  }
-
-  @Override
-  public String toString() {
-    String accuracyType = null;
-    if(scoreType == USE_ACCURACY)
-      accuracyType = "classification_accuracy";
-    else if(scoreType == USE_LOGLIKELIHOOD)
-      accuracyType = "log_likelihood";
-    else
-      accuracyType = "unknown";
-    return "MultiClassAccuracyStats(" + accuracyType  + ")" + scoreType + USE_ACCURACY + USE_LOGLIKELIHOOD;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/MultiClassChunkEvalStats.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/MultiClassChunkEvalStats.java
deleted file mode 100644
index 75a6299..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/MultiClassChunkEvalStats.java
+++ /dev/null
@@ -1,188 +0,0 @@
-package edu.stanford.nlp.stats;
-
-import edu.stanford.nlp.classify.Classifier;
-import edu.stanford.nlp.classify.GeneralDataset;
-import edu.stanford.nlp.pipeline.LabeledChunkIdentifier;
-import edu.stanford.nlp.util.HashIndex;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.StringUtils;
-
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.io.InputStreamReader;
-import java.util.Properties;
-
-/**
- * Calculates phrase based precision and recall (similar to conlleval)
- * Handles various encodings such as IO, IOB, IOE, BILOU, SBEIO, []
- *
- * Usage: java edu.stanford.nlp.stats.MultiClassChunkEvalStats [options] < filename
- *        -r - Do raw token based evaluation
- *        -d <delimiter> - Specifies delimiter to use (instead of tab)
- *        -b <boundary> - Boundary token (default is -X- )
- *        -t <defaultTag> - Default tag to use if tag is not prefixed (i.e. is not X-xxx )
- *        -ignoreProvidedTag - Discards the provided tag (i.e. if label is X-xxx, just use xxx for evaluation)
- * @author Angel Chang
- */
-public class MultiClassChunkEvalStats extends MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats {
-  private boolean inCorrect = false;
-  private LabeledChunkIdentifier.LabelTagType prevCorrect = null;
-  private LabeledChunkIdentifier.LabelTagType prevGuess = null;
-  private LabeledChunkIdentifier chunker;
-  private boolean useLabel = false;
-
-  public <F> MultiClassChunkEvalStats(Classifier<String,F> classifier, GeneralDataset<String,F> data, String negLabel)
-  {
-    super(classifier, data, negLabel);
-    chunker = new LabeledChunkIdentifier();
-    chunker.setNegLabel(negLabel);
-  }
-
-  public MultiClassChunkEvalStats(String negLabel)
-  {
-    super(negLabel);
-    chunker = new LabeledChunkIdentifier();
-    chunker.setNegLabel(negLabel);
-  }
-
-  public MultiClassChunkEvalStats(Index<String> dataLabelIndex, String negLabel)
-  {
-    super(dataLabelIndex, negLabel);
-    chunker = new LabeledChunkIdentifier();
-    chunker.setNegLabel(negLabel);
-  }
-
-  public LabeledChunkIdentifier getChunker()
-  {
-    return chunker;
-  }
-
-  public void clearCounts()
-  {
-    super.clearCounts();
-    inCorrect = false;
-    prevCorrect = null;
-    prevGuess = null;
-  }
-
-  protected void finalizeCounts()
-  {
-    markBoundary();
-    super.finalizeCounts();
-  }
-
-  private String getTypeLabel(LabeledChunkIdentifier.LabelTagType tagType)
-  {
-    if (useLabel) return tagType.label;
-    else return tagType.type;
-  }
-  protected void markBoundary()
-  {
-    if (inCorrect) {
-      inCorrect=false;
-      correctGuesses.incrementCount(getTypeLabel(prevCorrect));
-    }
-    prevGuess = null;
-    prevCorrect = null;
-  }
-
-  protected void addGuess(String guess, String trueLabel, boolean addUnknownLabels)
-  {
-    LabeledChunkIdentifier.LabelTagType guessTagType = chunker.getTagType(guess);
-    LabeledChunkIdentifier.LabelTagType correctTagType = chunker.getTagType(trueLabel);
-    addGuess(guessTagType, correctTagType, addUnknownLabels);
-  }
-
-  protected void addGuess(LabeledChunkIdentifier.LabelTagType guess,
-                          LabeledChunkIdentifier.LabelTagType correct, boolean addUnknownLabels)
-  {
-    if (addUnknownLabels) {
-      if (labelIndex == null) {
-        labelIndex = new HashIndex<String>();
-      }
-      labelIndex.add(getTypeLabel(guess));
-      labelIndex.add(getTypeLabel(correct));
-    }
-    if (inCorrect) {
-       boolean prevCorrectEnded = chunker.isEndOfChunk(prevCorrect, correct);
-       boolean prevGuessEnded = chunker.isEndOfChunk(prevGuess, guess);
-       if (prevCorrectEnded && prevGuessEnded && prevGuess.typeMatches(prevCorrect)) {
-         inCorrect=false;
-         correctGuesses.incrementCount(getTypeLabel(prevCorrect));
-       } else if (prevCorrectEnded != prevGuessEnded || !guess.typeMatches(correct)) {
-         inCorrect=false;
-       }
-    }
-
-    boolean correctStarted = chunker.isStartOfChunk(prevCorrect, correct);
-    boolean guessStarted = chunker.isStartOfChunk(prevGuess, guess);
-    if ( correctStarted && guessStarted && guess.typeMatches(correct)) {
-      inCorrect = true;
-    }
-
-    if ( correctStarted ) {
-      foundCorrect.incrementCount(getTypeLabel(correct));
-    }
-    if ( guessStarted ) {
-      foundGuessed.incrementCount(getTypeLabel(guess));
-    }
-
-    if (chunker.isIgnoreProvidedTag()) {
-      if (guess.typeMatches(correct)) {
-        tokensCorrect++;
-      }
-    } else {
-      if (guess.label.equals(correct.label)) {
-        tokensCorrect++;
-      }
-    }
-    
-    tokensCount++;
-    prevGuess = guess;
-    prevCorrect = correct;
-  }
-
-  // Returns string precision recall in ConllEval format
-  public String getConllEvalString()
-  {
-    return getConllEvalString(true);
-  }
-
-  public static void main(String[] args) throws Exception
-  {
-    StringUtils.printErrInvocationString("MultiClassChunkEvalStats", args);
-    Properties props = StringUtils.argsToProperties(args);
-    String boundary = props.getProperty("b","-X-");
-    String delimiter = props.getProperty("d","\t");
-    String defaultPosTag = props.getProperty("t", "I");
-    boolean raw = Boolean.valueOf(props.getProperty("r","false"));
-    boolean ignoreProvidedTag = Boolean.valueOf(props.getProperty("ignoreProvidedTag","false"));
-    String format = props.getProperty("format", "conll");
-    String filename = props.getProperty("i");
-    String backgroundLabel = props.getProperty("k", "O");
-    try {
-      MultiClassPrecisionRecallExtendedStats stats;
-      if (raw) {
-        stats = new MultiClassStringLabelStats(backgroundLabel);
-      } else {
-        MultiClassChunkEvalStats mstats = new MultiClassChunkEvalStats(backgroundLabel);
-        mstats.getChunker().setDefaultPosTag(defaultPosTag);
-        mstats.getChunker().setIgnoreProvidedTag(ignoreProvidedTag);
-        stats = mstats;
-      }
-      if (filename != null) {
-        stats.score(filename, delimiter, boundary);
-      } else {
-        stats.score(new BufferedReader(new InputStreamReader(System.in)), delimiter, boundary);
-      }
-      if ("conll".equalsIgnoreCase(format)) {
-        System.out.println(stats.getConllEvalString());
-      } else {
-        System.out.println(stats.getDescription(6));        
-      }
-    } catch (IOException ex) {
-      System.err.println("Error processing file: " + ex.toString());
-      ex.printStackTrace(System.err);
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/MultiClassPrecisionRecallExtendedStats.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/MultiClassPrecisionRecallExtendedStats.java
deleted file mode 100644
index 9b46889..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/MultiClassPrecisionRecallExtendedStats.java
+++ /dev/null
@@ -1,358 +0,0 @@
-package edu.stanford.nlp.stats;
-
-import edu.stanford.nlp.classify.Classifier;
-import edu.stanford.nlp.classify.GeneralDataset;
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.util.HashIndex;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.Triple;
-
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.text.NumberFormat;
-import java.util.*;
-import java.util.regex.Pattern;
-
-/**
- * Extension of MultiClassPrecisionRecallStats that handles
- * @author Angel Chang
- */
-public class MultiClassPrecisionRecallExtendedStats<L> extends MultiClassPrecisionRecallStats<L> {
-  protected IntCounter<L> correctGuesses;
-  protected IntCounter<L> foundCorrect;
-  protected IntCounter<L> foundGuessed;
-  protected int tokensCount = 0;
-  protected int tokensCorrect = 0;
-
-  protected Function<String,L> stringConverter;
-
-  public <F> MultiClassPrecisionRecallExtendedStats(Classifier<L,F> classifier, GeneralDataset<L,F> data, L negLabel)
-  {
-    super(classifier, data, negLabel);
-  }
-
-  public MultiClassPrecisionRecallExtendedStats(L negLabel)
-  {
-    super(negLabel);
-  }
-
-  public MultiClassPrecisionRecallExtendedStats(Index<L> dataLabelIndex, L negLabel)
-  {
-    this(negLabel);
-    setLabelIndex(dataLabelIndex);
-  }
-
-  public void setLabelIndex(Index<L> dataLabelIndex) {
-    labelIndex = dataLabelIndex;
-    negIndex = labelIndex.indexOf(negLabel);
-  }
-
-  public <F> double score(Classifier<L,F> classifier, GeneralDataset<L,F> data) {
-    setLabelIndex(data.labelIndex);
-    clearCounts();
-    int[] labelsArr = data.getLabelsArray();
-    for (int i = 0; i < data.size(); i++) {
-      Datum<L, F> d = data.getRVFDatum(i);
-      L guess = classifier.classOf(d);
-      addGuess(guess, labelIndex.get(labelsArr[i]));
-    }
-    finalizeCounts();
-
-    return getFMeasure();
-  }
-
-  /**
-   * Returns the score (F1) for the given list of guesses
-   * @param guesses - Guesses by classifier
-   * @param trueLabels - Gold labels to compare guesses against
-   * @param dataLabelIndex - Index of labels
-   * @return F1 score
-   */
-  public double score(List<L> guesses, List<L> trueLabels, Index<L> dataLabelIndex) {
-    setLabelIndex(dataLabelIndex);
-    return score(guesses, trueLabels);
-  }
-
-  /**
-   * Returns the score (F1) for the given list of guesses
-   * @param guesses - Guesses by classifier
-   * @param trueLabels - Gold labels to compare guesses against
-   * @return F1 score
-   */
-  public double score(List<L> guesses, List<L> trueLabels) {
-    clearCounts();
-    addGuesses(guesses, trueLabels);
-    finalizeCounts();
-    return getFMeasure();
-  }
-
-  public double score()
-  {
-    finalizeCounts();
-    return getFMeasure();    
-  }
-
-  public void clearCounts()
-  {
-    if (foundCorrect != null) {
-      foundCorrect.clear();
-    } else {
-      foundCorrect = new IntCounter<L>();
-    }
-    if (foundGuessed != null) {
-      foundGuessed.clear();
-    } else {
-      foundGuessed = new IntCounter<L>();
-    }
-    if (correctGuesses != null) {
-      correctGuesses.clear();
-    } else {
-      correctGuesses = new IntCounter<L>();
-    }
-    if (tpCount != null) {
-      Arrays.fill(tpCount, 0);
-    }
-    if (fnCount != null) {
-      Arrays.fill(fnCount, 0);
-    }
-    if (fpCount != null) {
-      Arrays.fill(fpCount, 0);
-    }
-    tokensCount = 0;
-    tokensCorrect = 0;
-  }
-
-  protected void finalizeCounts()
-  {
-    negIndex = labelIndex.indexOf(negLabel);
-    int numClasses = labelIndex.size();
-    if (tpCount == null || tpCount.length != numClasses) {
-      tpCount = new int[numClasses];
-    }
-    if (fpCount == null || fpCount.length != numClasses) {
-      fpCount = new int[numClasses];
-    }
-    if (fnCount == null || fnCount.length != numClasses) {
-      fnCount = new int[numClasses];
-    }
-    for (int i = 0; i < numClasses; i++) {
-      L label = labelIndex.get(i);
-      tpCount[i] = correctGuesses.getIntCount(label);
-      fnCount[i] = foundCorrect.getIntCount(label) - tpCount[i];
-      fpCount[i] = foundGuessed.getIntCount(label) - tpCount[i];
-    }
-  }
-
-  protected void markBoundary()
-  {
-  }
-
-  protected void addGuess(L guess, L label)
-  {
-    addGuess(guess, label, true);
-  }
-  
-  protected void addGuess(L guess, L label, boolean addUnknownLabels)
-  {
-    if (addUnknownLabels) {
-      if (labelIndex == null) {
-        labelIndex = new HashIndex<L>();
-      }
-      labelIndex.add(guess);
-      labelIndex.add(label);
-    }
-    if (guess.equals(label)) {
-      correctGuesses.incrementCount(label);
-      tokensCorrect++;
-    }
-
-    if (!guess.equals(negLabel)) {
-      foundGuessed.incrementCount(guess);
-    }
-
-    if (!label.equals(negLabel)) {
-      foundCorrect.incrementCount(label);
-    }
-    tokensCount++;
-  }
-
-  public void addGuesses(List<L> guesses, List<L> trueLabels)
-  {
-    for (int i=0; i < guesses.size(); ++i)
-    {
-      L guess = guesses.get(i);
-      L label = trueLabels.get(i);
-      addGuess(guess, label);
-    }
-  }
-
-  /**
-   * Return overall number of correct answers
-   */
-  public int getCorrect()
-  {
-    return correctGuesses.totalIntCount();
-  }
-
-  public int getCorrect(L label)
-  {
-    return correctGuesses.getIntCount(label);
-  }
-
-  public int getRetrieved(L label)
-  {
-    return foundGuessed.getIntCount(label);
-  }
-
-  public int getRetrieved()
-  {
-    return foundGuessed.totalIntCount();
-  }
-
-  public int getRelevant(L label)
-  {
-    return foundCorrect.getIntCount(label);
-  }
-
-  public int getRelevant()
-  {
-    return foundCorrect.totalIntCount();
-  }
-
-  /**
-   * Return overall per token accuracy
-   */
-  public Triple<Double, Integer, Integer> getAccuracyInfo()
-  {
-    int totalCorrect = tokensCorrect;
-    int totalWrong = tokensCount - tokensCorrect;
-    return new Triple<Double, Integer, Integer>((((double) totalCorrect) / tokensCount),
-            totalCorrect, totalWrong);
-  }
-
-  public double getAccuracy() {
-    return getAccuracyInfo().first();
-  }
-
-  /**
-   * Returns a String summarizing overall accuracy that will print nicely.
-   */
-  public String getAccuracyDescription(int numDigits) {
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMaximumFractionDigits(numDigits);
-    Triple<Double, Integer, Integer> accu = getAccuracyInfo();
-    return nf.format(accu.first()) + "  (" + accu.second() + "/" + (accu.second() + accu.third()) + ")";
-  }
-
-  public double score(String filename, String delimiter) throws IOException {
-    return score(filename, delimiter, null);
-  }
-
-  public double score(String filename, String delimiter, String boundary) throws IOException {
-    return score(IOUtils.getBufferedFileReader(filename), delimiter, boundary);
-  }
-
-  public double score(BufferedReader br, String delimiter) throws IOException
-  {
-    return score(br, delimiter, null);
-  }
-  
-  public double score(BufferedReader br, String delimiter, String boundary) throws IOException
-  {
-    int TOKEN_INDEX = 0;
-    int ANSWER_INDEX = 1;
-    int GUESS_INDEX = 2;
-    String line;
-    Pattern delimPattern = Pattern.compile(delimiter);
-    clearCounts();
-    while ((line = br.readLine()) != null) {
-      line = line.trim();
-      if (line.length() > 0) {
-        String[] fields = delimPattern.split(line);
-        if (boundary != null && boundary.equals(fields[TOKEN_INDEX])) {
-          markBoundary();
-        } else {
-          L answer = stringConverter.apply(fields[ANSWER_INDEX]);
-          L guess = stringConverter.apply(fields[GUESS_INDEX]);
-          addGuess(guess, answer);
-        }
-      } else {
-        markBoundary();
-      }
-    }
-    finalizeCounts();
-    return getFMeasure();
-  }
-
-  public List<L> getLabels() {
-    return labelIndex.objectsList();
-  }
-
-  public String getConllEvalString()
-  {
-    return getConllEvalString(true);
-  }
-
-  public String getConllEvalString(boolean ignoreNegLabel)
-  {
-    List<L> labels = getLabels();
-    if (labels.size() > 1 && labels.get(0) instanceof Comparable) {
-      List<Comparable> sortedLabels = (List<Comparable>) labels;
-      Collections.sort(sortedLabels);
-    }
-    return getConllEvalString(labels, ignoreNegLabel);
-  }
-
-  private String getConllEvalString(List<L> orderedLabels, boolean ignoreNegLabel)
-  {
-    StringBuilder sb = new StringBuilder();
-    int correctPhrases = getCorrect() - getCorrect(negLabel);
-    Triple<Double,Integer,Integer> accuracyInfo = getAccuracyInfo();
-    int totalCount = accuracyInfo.second() + accuracyInfo.third();
-    sb.append("processed " + totalCount + " tokens with " + getRelevant() + " phrases; ");
-    sb.append("found: " + getRetrieved() + " phrases; correct: " + correctPhrases + "\n");
-
-    Formatter formatter = new Formatter(sb, Locale.US);
-    formatter.format("accuracy: %6.2f%%; ", accuracyInfo.first() * 100);
-    formatter.format("precision: %6.2f%%; ", getPrecision() * 100);
-    formatter.format("recall: %6.2f%%; ", getRecall() * 100);
-    formatter.format("FB1: %6.2f\n", getFMeasure() * 100);
-    for (L label: orderedLabels) {
-      if (ignoreNegLabel && label.equals(negLabel)) { continue; }
-      formatter.format("%17s: ", label);
-      formatter.format("precision: %6.2f%%; ", getPrecision(label) * 100);
-      formatter.format("recall: %6.2f%%; ", getRecall(label) * 100);
-      formatter.format("FB1: %6.2f  %d\n", getFMeasure(label) * 100, getRetrieved(label));
-    }
-    return sb.toString();
-  }
-
-  public static class StringStringConverter implements Function<String,String>
-  {
-    public String apply(String str) { return str; }
-  }
-
-  public static class MultiClassStringLabelStats extends MultiClassPrecisionRecallExtendedStats<String>
-  {
-    public <F> MultiClassStringLabelStats(Classifier<String,F> classifier, GeneralDataset<String,F> data, String negLabel)
-    {
-      super(classifier, data, negLabel);
-      stringConverter = new StringStringConverter();
-    }
-
-    public MultiClassStringLabelStats(String negLabel)
-    {
-      super(negLabel);
-      stringConverter = new StringStringConverter();
-    }
-
-    public MultiClassStringLabelStats(Index<String> dataLabelIndex, String negLabel)
-    {
-      this(negLabel);
-      setLabelIndex(dataLabelIndex);
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/MultiClassPrecisionRecallStats.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/MultiClassPrecisionRecallStats.java
deleted file mode 100644
index 309a9c1..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/MultiClassPrecisionRecallStats.java
+++ /dev/null
@@ -1,243 +0,0 @@
-package edu.stanford.nlp.stats;
-
-import edu.stanford.nlp.classify.Classifier;
-import edu.stanford.nlp.classify.GeneralDataset;
-import edu.stanford.nlp.classify.ProbabilisticClassifier;
-import edu.stanford.nlp.ling.Datum;
-import edu.stanford.nlp.util.HashIndex;
-import edu.stanford.nlp.util.Index;
-import edu.stanford.nlp.util.Triple;
-
-import java.text.NumberFormat;
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * @author Jenny Finkel
- */
-public class MultiClassPrecisionRecallStats<L> implements Scorer<L> {
-  /**
-   * Count of true positives.
-   */
-  protected int[] tpCount;
-  
-  /**
-   * Count of false positives.
-   */
-  protected int[] fpCount;
-
-  /**
-   * Count of false negatives.
-   */
-  protected int[] fnCount;
-
-  protected Index<L> labelIndex;
-  protected L negLabel;
-  protected int negIndex = -1;
-
-  public <F> MultiClassPrecisionRecallStats(Classifier<L,F> classifier, GeneralDataset<L,F> data, L negLabel) 
-  {
-    this.negLabel = negLabel;
-    score(classifier, data);
-  }
-
-  public MultiClassPrecisionRecallStats(L negLabel) 
-  {
-    this.negLabel = negLabel;
-  }
-
-  public <F> double score(ProbabilisticClassifier<L,F> classifier, GeneralDataset<L,F> data) {
-    return score((Classifier<L,F>)classifier, data);
-  }
-
-  public <F> double score(Classifier<L,F> classifier, GeneralDataset<L,F> data) {
-
-    List<L> guesses = new ArrayList<L>();
-    List<L> labels = new ArrayList<L>();
-
-    for (int i = 0; i < data.size(); i++) {
-      Datum<L, F> d = data.getRVFDatum(i);
-      L guess = classifier.classOf(d);
-      guesses.add(guess);
-    }      
-
-    int[] labelsArr = data.getLabelsArray();
-    labelIndex = data.labelIndex;
-    for (int i = 0; i < data.size(); i++) {
-      labels.add(labelIndex.get(labelsArr[i]));
-    }
-
-    labelIndex = new HashIndex<L>();
-    labelIndex.addAll(data.labelIndex().objectsList());
-    labelIndex.addAll(classifier.labels());
-
-    int numClasses = labelIndex.size();
-    tpCount = new int[numClasses];
-    fpCount = new int[numClasses];
-    fnCount = new int[numClasses];
-
-    negIndex = labelIndex.indexOf(negLabel);
-
-    for (int i=0; i < guesses.size(); ++i)
-    {
-      L guess = guesses.get(i);
-      int guessIndex = labelIndex.indexOf(guess);
-      L label = labels.get(i);
-      int trueIndex = labelIndex.indexOf(label);
-      
-      if (guessIndex == trueIndex) {
-        if (guessIndex != negIndex) {
-          tpCount[guessIndex]++;
-        }
-      } else {
-        if (guessIndex != negIndex) {
-          fpCount[guessIndex]++;
-        }
-        if (trueIndex != negIndex) {
-          fnCount[trueIndex]++;
-        }
-      }
-    }
-    
-    return getFMeasure();
-  }
-
-  /**
-   * Returns the current precision: <tt>tp/(tp+fp)</tt>.
-   * Returns 1.0 if tp and fp are both 0.
-   */
-  public Triple<Double, Integer, Integer> getPrecisionInfo(L label) {
-    int i = labelIndex.indexOf(label);
-    if (tpCount[i] == 0 && fpCount[i] == 0) {
-      return new Triple<Double, Integer, Integer>(1.0, tpCount[i], fpCount[i]);
-    }
-    return new Triple<Double, Integer, Integer>((((double) tpCount[i]) / (tpCount[i] + fpCount[i])), tpCount[i], fpCount[i]);
-  }
-
-  public double getPrecision(L label) {
-    return getPrecisionInfo(label).first();
-  }
-
-  public Triple<Double, Integer, Integer> getPrecisionInfo() {
-    int tp = 0, fp = 0;
-    for (int i = 0; i < labelIndex.size(); i++) {
-      if (i == negIndex) { continue; }
-      tp += tpCount[i];
-      fp += fpCount[i];
-    }
-    return new Triple<Double, Integer, Integer>((((double) tp) / (tp + fp)), tp, fp);
-  }
-
-  public double getPrecision() {
-    return getPrecisionInfo().first();
-  }
-
-  /**
-   * Returns a String summarizing precision that will print nicely.
-   */
-  public String getPrecisionDescription(int numDigits) {
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMaximumFractionDigits(numDigits);
-    Triple<Double, Integer, Integer> prec = getPrecisionInfo();
-    return nf.format(prec.first()) + "  (" + prec.second() + "/" + (prec.second() + prec.third()) + ")";
-  }
-
-  public String getPrecisionDescription(int numDigits, L label) {
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMaximumFractionDigits(numDigits);
-    Triple<Double, Integer, Integer> prec = getPrecisionInfo(label);
-    return nf.format(prec.first()) + "  (" + prec.second() + "/" + (prec.second() + prec.third()) + ")";
-  }
-
-  public Triple<Double, Integer, Integer> getRecallInfo(L label) {
-    int i = labelIndex.indexOf(label);
-    if (tpCount[i] == 0 && fnCount[i] == 0) {
-      return new Triple<Double, Integer, Integer>(1.0, tpCount[i], fnCount[i]);
-    }
-    return new Triple<Double, Integer, Integer>((((double) tpCount[i]) / (tpCount[i] + fnCount[i])), tpCount[i], fnCount[i]);
-  }
-
-  public double getRecall(L label) {
-    return getRecallInfo(label).first();
-  }
-
-  public Triple<Double, Integer, Integer> getRecallInfo() {
-    int tp = 0, fn = 0;
-    for (int i = 0; i < labelIndex.size(); i++) {
-      if (i == negIndex) { continue; }
-      tp += tpCount[i];
-      fn += fnCount[i];
-    }
-    return new Triple<Double, Integer, Integer>((((double) tp) / (tp + fn)), tp, fn);
-  }
-
-  public double getRecall() {
-    return getRecallInfo().first();
-  }
-
-  /**
-   * Returns a String summarizing precision that will print nicely.
-   */
-  public String getRecallDescription(int numDigits) {
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMaximumFractionDigits(numDigits);
-    Triple<Double, Integer, Integer> recall = getRecallInfo();
-    return nf.format(recall.first()) + "  (" + recall.second() + "/" + (recall.second() + recall.third()) + ")";
-  }
-
-  public String getRecallDescription(int numDigits, L label) {
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMaximumFractionDigits(numDigits);
-    Triple<Double, Integer, Integer> recall = getRecallInfo(label);
-    return nf.format(recall.first()) + "  (" + recall.second() + "/" + (recall.second() + recall.third()) + ")";
-  }
-
-  public double getFMeasure(L label) {
-    double p = getPrecision(label);
-    double r = getRecall(label);
-    double f = (2 * p * r) / (p + r);
-    return f;
-  }
-
-  public double getFMeasure() {
-    double p = getPrecision();
-    double r = getRecall();
-    double f = (2 * p * r) / (p + r);
-    return f;
-  }
-
-  /**
-   * Returns a String summarizing F1 that will print nicely.
-   */
-  public String getF1Description(int numDigits) {
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMaximumFractionDigits(numDigits);
-    return nf.format(getFMeasure());
-  }
-
-  public String getF1Description(int numDigits, L label) {
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMaximumFractionDigits(numDigits);
-    return nf.format(getFMeasure(label));
-  }
-
-  /**
-   * Returns a String summarizing F1 that will print nicely.
-   */
-  public String getDescription(int numDigits) {
-    StringBuffer sb = new StringBuffer();
-    sb.append("--- PR Stats ---").append("\n");
-    for (L label : labelIndex) {
-      if (label.equals(negLabel)) { continue; }      
-      sb.append("** ").append(label.toString()).append(" **\n");
-      sb.append("\tPrec:   ").append(getPrecisionDescription(numDigits, label)).append("\n");
-      sb.append("\tRecall: ").append(getRecallDescription(numDigits, label)).append("\n");
-      sb.append("\tF1:     ").append(getF1Description(numDigits, label)).append("\n");
-    }
-    sb.append("** Overall **\n");
-    sb.append("\tPrec:   ").append(getPrecisionDescription(numDigits)).append("\n");
-    sb.append("\tRecall: ").append(getRecallDescription(numDigits)).append("\n");
-    sb.append("\tF1:     ").append(getF1Description(numDigits));
-    return sb.toString();
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/ProbabilityDistribution.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/ProbabilityDistribution.java
deleted file mode 100644
index 9715254..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/ProbabilityDistribution.java
+++ /dev/null
@@ -1,18 +0,0 @@
-package edu.stanford.nlp.stats;
-
-import java.util.Random;
-
-/**
- * This is an interface for probability measures, which will allow
- * samples to be drawn and the probability of objects computed.
- *
- * @author Jenny Finkel
- */
-
-public interface ProbabilityDistribution<E> extends java.io.Serializable {
-
-  public double probabilityOf(E object) ;
-  public double logProbabilityOf(E object) ;
-  public E drawSample(Random random) ;
-  
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Sampler.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Sampler.java
deleted file mode 100644
index fc03b3c..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Sampler.java
+++ /dev/null
@@ -1,25 +0,0 @@
-package edu.stanford.nlp.stats;
-
-/**
- * An interace for drawing samples from the label
- * space of an object.  The classifiers themselves are
- * {@link Sampleable}.  For instance, a parser can
- * {@link Sampleable} and then vends Sampler instances
- * based on specific inputs (words in the sentence).
- * The Sampler would then return parse trees (over
- * that particular sentence, not over all sentences)
- * drawn from
- * the underlying distribution.
- *
- * @author Jenny Finkel
- */
-public interface Sampler<T> {
-
-  /**
-   * @return labels (of type T) drawn from the underlying
-   * distribution for the observation this Sampler was
-   * created for.
-   */
-  public T drawSample();
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Scorer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Scorer.java
deleted file mode 100644
index 4772180..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/Scorer.java
+++ /dev/null
@@ -1,16 +0,0 @@
-package edu.stanford.nlp.stats;
-
-import edu.stanford.nlp.classify.GeneralDataset;
-import edu.stanford.nlp.classify.ProbabilisticClassifier;
-
-/**
- * @author Jenny Finkel
- */
-
-public interface Scorer<L> {
-
-  public <F> double score(ProbabilisticClassifier<L,F> classifier, GeneralDataset<L,F> data) ;
-
-  public String getDescription(int numDigits);
-
-} 
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/SimpleGoodTuring.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/SimpleGoodTuring.java
deleted file mode 100644
index f606701..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/SimpleGoodTuring.java
+++ /dev/null
@@ -1,272 +0,0 @@
-package edu.stanford.nlp.stats;
-
-import java.io.BufferedReader;
-import java.io.InputStreamReader;
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * Simple Good-Turing smoothing, based on code from Sampson, available at:
- * ftp://ftp.informatics.susx.ac.uk/pub/users/grs2/SGT.c <p/>
- *
- * See also http://www.grsampson.net/RGoodTur.html
- * 
- * @author Bill MacCartney (wcmac@cs.stanford.edu)
- */
-public class SimpleGoodTuring {
-
-  private static final int MIN_INPUT = 5;
-  private static final double CONFID_FACTOR = 1.96;
-  private static final double TOLERANCE = 1e-12;
-
-  private int[] r;               // for each bucket, a frequency
-  private int[] n;               // for each bucket, number of items w that frequency
-  private int rows;              // number of frequency buckets
-
-  private int bigN = 0;          // total count of all items
-  private double pZero;          // probability of unseen items
-  private double bigNPrime;
-  private double slope;
-  private double intercept;
-  private double[] z;
-  private double[] logR;
-  private double[] logZ;
-  private double[] rStar;
-  private double[] p;
-
-  /**
-   * Each instance of this class encapsulates the computation of the smoothing
-   * for one probability distribution.  The constructor takes two arguments
-   * which are two parallel arrays.  The first is an array of counts, which must
-   * be positive and in ascending order.  The second is an array of
-   * corresponding counts of counts; that is, for each i, n[i] represents the
-   * number of types which occurred with count r[i] in the underlying
-   * collection.  See the documentation for main() for a concrete example.
-   */
-  public SimpleGoodTuring(int[] r, int[] n) {
-    if (r == null) throw new IllegalArgumentException("r must not be null!");
-    if (n == null) throw new IllegalArgumentException("n must not be null!");
-    if (r.length != n.length) throw new IllegalArgumentException("r and n must have same size!");
-    if (r.length < MIN_INPUT) throw new IllegalArgumentException("r must have size >= " + MIN_INPUT + "!");
-    this.r = new int[r.length];
-    this.n = new int[n.length];
-    System.arraycopy(r, 0, this.r, 0, r.length); // defensive copy
-    System.arraycopy(n, 0, this.n, 0, n.length); // defensive copy
-    this.rows = r.length;
-    compute();
-    validate(TOLERANCE);
-  }
-
-  /**
-   * Returns the probability allocated to types not seen in the underlying
-   * collection.
-   */
-  public double getProbabilityForUnseen() {
-    return pZero;
-  }
-
-  /**
-   * Returns the probabilities allocated to each type, according to their count
-   * in the underlying collection.  The returned array parallels the arrays
-   * passed in to the constructor.  If the returned array is designated p, then
-   * for all i, p[i] represents the smoothed probability assigned to types which
-   * occurred r[i] times in the underlying collection (where r is the first
-   * argument to the constructor).
-   */
-  public double[] getProbabilities() {
-    return p;
-  }
-
-  private void compute() {
-    int i, j, next_n;
-    double k, x, y;
-    boolean indiffValsSeen = false;
-
-    z = new double[rows];
-    logR = new double[rows];
-    logZ = new double[rows];
-    rStar = new double[rows];
-    p = new double[rows];
-        
-    for (j = 0; j < rows; ++j) bigN += r[j] * n[j]; // count all items
-    next_n = row(1);
-    pZero = (next_n < 0) ? 0 : n[next_n] / (double) bigN;
-    for (j = 0; j < rows; ++j) {
-      i = (j == 0 ? 0 : r[j - 1]);
-      if (j == rows - 1)
-        k = (double) (2 * r[j] - i);
-      else
-        k = (double) r[j + 1];
-      z[j] = 2 * n[j] / (k - i);
-      logR[j] = Math.log(r[j]);
-      logZ[j] = Math.log(z[j]);
-    }
-    findBestFit();
-    for (j = 0; j < rows; ++j) {
-      y = (r[j] + 1) * smoothed(r[j] + 1) / smoothed(r[j]);
-      if (row(r[j] + 1) < 0)
-        indiffValsSeen = true;
-      if (!indiffValsSeen) {
-        x = (r[j] + 1) * (next_n = n[row(r[j] + 1)]) / (double) n[j];
-        if (Math.abs(x - y) <= CONFID_FACTOR * Math.sqrt(sq(r[j] + 1.0)
-                                                         * next_n / (sq((double) n[j]))
-                                                         * (1 + next_n / (double) n[j])))
-          indiffValsSeen = true;
-        else
-          rStar[j] = x;
-      }
-      if (indiffValsSeen)
-        rStar[j] = y;
-    }
-    bigNPrime = 0.0;
-    for (j = 0; j < rows; ++j)
-      bigNPrime += n[j] * rStar[j];
-    for (j = 0; j < rows; ++j)
-      p[j] = (1 - pZero) * rStar[j] / bigNPrime;
-  }
-
-  /**
-   * Returns the index of the bucket having the given frequency, or else -1 if no
-   * bucket has the given frequency.
-   */
-  private int row(int freq) {
-    int i = 0;
-    while (i < rows && r[i] < freq) i++;
-    return ((i < rows && r[i] == freq) ? i : -1);
-  }
-
-  private void findBestFit() {
-    double XYs, Xsquares, meanX, meanY;
-    int i;
-    XYs = Xsquares = meanX = meanY = 0.0;
-    for (i = 0; i < rows; ++i) {
-      meanX += logR[i];
-      meanY += logZ[i];
-    }
-    meanX /= rows;
-    meanY /= rows;
-    for (i = 0; i < rows; ++i) {
-      XYs += (logR[i] - meanX) * (logZ[i] - meanY);
-      Xsquares += sq(logR[i] - meanX);
-    }
-    slope = XYs / Xsquares;
-    intercept = meanY - slope * meanX;
-  }
-
-  private double smoothed(int i) {
-    return (Math.exp(intercept + slope * Math.log(i)));
-  }
-
-  private static double sq(double x) {
-    return (x * x);
-  }
-
-  private void print() {
-    int i;
-    System.out.printf("%6s %6s %8s %8s%n", "r", "n", "p", "p*");
-    System.out.printf("%6s %6s %8s %8s%n", "----", "----", "----", "----");
-    System.out.printf("%6d %6d %8.4g %8.4g%n", 0, 0, 0.0, pZero);
-    for (i = 0; i < rows; ++i)
-      System.out.printf("%6d %6d %8.4g %8.4g%n", r[i], n[i], 1.0 * r[i] / bigN, p[i]);
-  }
-
-  /**
-   * Ensures that we have a proper probability distribution.
-   */
-  private void validate(double tolerance) {
-    double sum = pZero;
-    for (int i = 0; i < n.length; i++) {
-      sum += (n[i] * p[i]);
-    }
-    double err = 1.0 - sum;
-    if (Math.abs(err) > tolerance) {
-      throw new IllegalStateException("ERROR: the probability distribution sums to " + sum);
-    }
-  }
-
-
-  // static methods -------------------------------------------------------------
-
-  /**
-   * Reads from STDIN a sequence of lines, each containing two integers,
-   * separated by whitespace.  Returns a pair of int arrays containing the
-   * values read.
-   */
-  private static int[][] readInput() throws Exception {
-    List<Integer> rVals = new ArrayList<Integer>();
-    List<Integer> nVals = new ArrayList<Integer>();
-    BufferedReader in = new BufferedReader(new InputStreamReader(System.in));
-    String line;
-    while ((line = in.readLine()) != null) {
-      String[] tokens = line.trim().split("\\s+");
-      if (tokens.length != 2)
-        throw new Exception("Line doesn't contain two tokens: " + line);
-      Integer r = Integer.valueOf(tokens[0]);
-      Integer n = Integer.valueOf(tokens[1]);
-      rVals.add(r);
-      nVals.add(n);
-    }
-    in.close();
-    int[][] result = new int[2][];
-    result[0] = integerList2IntArray(rVals);
-    result[1] = integerList2IntArray(nVals);
-    return result;
-  }
-
-  /**
-   * Helper to readInput().
-   */
-  private static int[] integerList2IntArray(List<Integer> integers) {
-    int[] ints = new int[integers.size()];
-    int i = 0;
-    for (Integer integer : integers) {
-      ints[i++] = integer;
-    }
-    return ints;
-  }
-
-
-  // main =======================================================================
-
-  /**
-   * Like Sampson's SGT program, reads data from STDIN and writes results to
-   * STDOUT.  The input should contain two integers on each line, separated by
-   * whitespace.  The first integer is a count; the second is a count for that
-   * count.  The input must be sorted in ascending order, and should not contain
-   * 0s.  For example, valid input is: <p/>
-   *
-   * <pre>
-   *   1 10
-   *   2 6
-   *   3 4
-   *   5 2
-   *   8 1
-   * </pre>
-   *
-   * This represents a collection in which 10 types occur once each, 6 types
-   * occur twice each, 4 types occur 3 times each, 2 types occur 5 times each,
-   * and one type occurs 10 times, for a total count of 52.  This input will
-   * produce the following output: </p>
-   *
-   * <pre>
-   *     r      n        p       p*
-   *  ----   ----     ----     ----
-   *     0      0    0.000   0.1923
-   *     1     10  0.01923  0.01203
-   *     2      6  0.03846  0.02951
-   *     3      4  0.05769  0.04814
-   *     5      2  0.09615  0.08647
-   *     8      1   0.1538   0.1448
-   * </pre>
-   *
-   * The last column represents the smoothed probabilities, and the first item
-   * in this column represents the probability assigned to unseen items.
-   */
-  public static void main(String[] args) throws Exception {
-    int[][] input = readInput();
-    SimpleGoodTuring sgt = new SimpleGoodTuring(input[0], input[1]);
-    sgt.print();
-  }
-
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/TwoDimensionalCounter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/TwoDimensionalCounter.java
deleted file mode 100644
index ca784dc..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/stats/TwoDimensionalCounter.java
+++ /dev/null
@@ -1,420 +0,0 @@
-package edu.stanford.nlp.stats;
-
-import java.io.Serializable;
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-import java.util.ArrayList;
-import java.util.Collections;
-import java.util.HashSet;
-import java.util.List;
-import java.util.Map;
-import java.util.Set;
-
-import edu.stanford.nlp.math.ArrayMath;
-import edu.stanford.nlp.math.SloppyMath;
-import edu.stanford.nlp.util.MapFactory;
-import edu.stanford.nlp.util.MutableDouble;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.StringUtils;
-
-/**
- * A class representing a mapping between pairs of typed objects and double
- * values.
- * 
- * @author Teg Grenager
- */
-public class TwoDimensionalCounter<K1, K2> implements Serializable {
-
-  private static final long serialVersionUID = 1L;
-
-  // the outermost Map
-  @SuppressWarnings( { "NonSerializableFieldInSerializableClass" })
-  private Map<K1, ClassicCounter<K2>> map;
-
-  // the total of all counts
-  private double total;
-
-  // the MapFactory used to make new maps to counters
-  private MapFactory<K1, ClassicCounter<K2>> outerMF;
-
-  // the MapFactory used to make new maps in the inner counter
-  private MapFactory<K2, MutableDouble> innerMF;
-
-  private double defaultValue = 0.0;
-
-  public void defaultReturnValue(double rv) {
-    defaultValue = rv;
-  }
-
-  public double defaultReturnValue() {
-    return defaultValue;
-  }
-
-  @Override
-  public boolean equals(Object o) {
-    if (o == this)
-      return true;
-    if (!(o instanceof TwoDimensionalCounter))
-      return false;
-
-    return ((TwoDimensionalCounter<?, ?>) o).map.equals(map);
-  }
-
-  @Override
-  public int hashCode() {
-    return map.hashCode() + 17;
-  }
-
-  /**
-   * @return the inner Counter associated with key o
-   */
-  public ClassicCounter<K2> getCounter(K1 o) {
-    ClassicCounter<K2> c = map.get(o);
-    if (c == null) {
-      c = new ClassicCounter<K2>(innerMF);
-      c.setDefaultReturnValue(defaultValue);
-      map.put(o, c);
-    }
-    return c;
-  }
-
-  public Set<Map.Entry<K1, ClassicCounter<K2>>> entrySet() {
-    return map.entrySet();
-  }
-
-  /**
-   * @return total number of entries (key pairs)
-   */
-  public int size() {
-    int result = 0;
-    for (K1 o : firstKeySet()) {
-      ClassicCounter<K2> c = map.get(o);
-      result += c.size();
-    }
-    return result;
-  }
-
-  public boolean containsKey(K1 o1, K2 o2) {
-    if (!map.containsKey(o1))
-      return false;
-    ClassicCounter<K2> c = map.get(o1);
-    return c.containsKey(o2);
-  }
-
-  /**
-   */
-  public void incrementCount(K1 o1, K2 o2) {
-    incrementCount(o1, o2, 1.0);
-  }
-
-  /**
-   */
-  public void incrementCount(K1 o1, K2 o2, double count) {
-    ClassicCounter<K2> c = getCounter(o1);
-    c.incrementCount(o2, count);
-    total += count;
-  }
-
-  /**
-   */
-  public void decrementCount(K1 o1, K2 o2) {
-    incrementCount(o1, o2, -1.0);
-  }
-
-  /**
-   */
-  public void decrementCount(K1 o1, K2 o2, double count) {
-    incrementCount(o1, o2, -count);
-  }
-
-  /**
-   */
-  public void setCount(K1 o1, K2 o2, double count) {
-    ClassicCounter<K2> c = getCounter(o1);
-    double oldCount = getCount(o1, o2);
-    total -= oldCount;
-    c.setCount(o2, count);
-    total += count;
-  }
-
-  public double remove(K1 o1, K2 o2) {
-    ClassicCounter<K2> c = getCounter(o1);
-    double oldCount = getCount(o1, o2);
-    total -= oldCount;
-    c.remove(o2);
-    if (c.size() == 0) {
-      map.remove(o1);
-    }
-    return oldCount;
-  }
-
-  /**
-   */
-  public double getCount(K1 o1, K2 o2) {
-    ClassicCounter<K2> c = getCounter(o1);
-    if (c.totalCount() == 0.0 && !c.keySet().contains(o2)) {
-      return defaultReturnValue();
-    }
-    return c.getCount(o2);
-  }
-
-  /**
-   * Takes linear time.
-   * 
-   */
-  public double totalCount() {
-    return total;
-  }
-
-  /**
-   */
-  public double totalCount(K1 k1) {
-    ClassicCounter<K2> c = getCounter(k1);
-    return c.totalCount();
-  }
-
-  public Set<K1> firstKeySet() {
-    return map.keySet();
-  }
-
-  /**
-   * replace the counter for K1-index o by new counter c
-   */
-  public ClassicCounter<K2> setCounter(K1 o, ClassicCounter<K2> c) {
-    ClassicCounter<K2> old = getCounter(o);
-    total -= old.totalCount();
-    map.put(o, c);
-    total += c.totalCount();
-    return old;
-  }
-
-  /**
-   * Produces a new ConditionalCounter.
-   * 
-   * @return a new ConditionalCounter, where order of indices is reversed
-   */
-  @SuppressWarnings( { "unchecked" })
-  public static <K1, K2> TwoDimensionalCounter<K2, K1> reverseIndexOrder(TwoDimensionalCounter<K1, K2> cc) {
-    // they typing on the outerMF is violated a bit, but it'll work....
-    TwoDimensionalCounter<K2, K1> result = new TwoDimensionalCounter<K2, K1>((MapFactory) cc.outerMF,
-        (MapFactory) cc.innerMF);
-
-    for (K1 key1 : cc.firstKeySet()) {
-      ClassicCounter<K2> c = cc.getCounter(key1);
-      for (K2 key2 : c.keySet()) {
-        double count = c.getCount(key2);
-        result.setCount(key2, key1, count);
-      }
-    }
-    return result;
-  }
-
-  /**
-   * A simple String representation of this TwoDimensionalCounter, which has the
-   * String representation of each key pair on a separate line, followed by the
-   * count for that pair. The items are tab separated, so the result is a
-   * tab-separated value (TSV) file. Iff none of the keys contain spaces, it
-   * will also be possible to treat this as whitespace separated fields.
-   */
-  @Override
-  public String toString() {
-    StringBuilder buff = new StringBuilder();
-    for (K1 key1 : map.keySet()) {
-      ClassicCounter<K2> c = getCounter(key1);
-      for (K2 key2 : c.keySet()) {
-        double score = c.getCount(key2);
-        buff.append(key1).append("\t").append(key2).append("\t").append(score).append("\n");
-      }
-    }
-    return buff.toString();
-  }
-
-  @SuppressWarnings( { "unchecked" })
-  public String toMatrixString(int cellSize) {
-    List<K1> firstKeys = new ArrayList<K1>(firstKeySet());
-    List<K2> secondKeys = new ArrayList<K2>(secondKeySet());
-    Collections.sort((List<? extends Comparable>) firstKeys);
-    Collections.sort((List<? extends Comparable>) secondKeys);
-    double[][] counts = toMatrix(firstKeys, secondKeys);
-    return ArrayMath.toString(counts, cellSize, firstKeys.toArray(), secondKeys.toArray(), new DecimalFormat(), true);
-  }
-
-  /**
-   * Given an ordering of the first (row) and second (column) keys, will produce
-   * a double matrix.
-   * 
-   */
-  public double[][] toMatrix(List<K1> firstKeys, List<K2> secondKeys) {
-    double[][] counts = new double[firstKeys.size()][secondKeys.size()];
-    for (int i = 0; i < firstKeys.size(); i++) {
-      for (int j = 0; j < secondKeys.size(); j++) {
-        counts[i][j] = getCount(firstKeys.get(i), secondKeys.get(j));
-      }
-    }
-    return counts;
-  }
-
-  @SuppressWarnings( { "unchecked" })
-  public String toCSVString(NumberFormat nf) {
-    List<K1> firstKeys = new ArrayList<K1>(firstKeySet());
-    List<K2> secondKeys = new ArrayList<K2>(secondKeySet());
-    Collections.sort((List<? extends Comparable>) firstKeys);
-    Collections.sort((List<? extends Comparable>) secondKeys);
-    StringBuilder b = new StringBuilder();
-    String[] headerRow = new String[secondKeys.size() + 1];
-    headerRow[0] = "";
-    for (int j = 0; j < secondKeys.size(); j++) {
-      headerRow[j + 1] = secondKeys.get(j).toString();
-    }
-    b.append(StringUtils.toCSVString(headerRow)).append("\n");
-    for (K1 rowLabel : firstKeys) {
-      String[] row = new String[secondKeys.size() + 1];
-      row[0] = rowLabel.toString();
-      for (int j = 0; j < secondKeys.size(); j++) {
-        K2 colLabel = secondKeys.get(j);
-        row[j + 1] = nf.format(getCount(rowLabel, colLabel));
-      }
-      b.append(StringUtils.toCSVString(row)).append("\n");
-    }
-    return b.toString();
-  }
-
-  public Set<K2> secondKeySet() {
-    Set<K2> result = new HashSet<K2>();
-    for (K1 k1 : firstKeySet()) {
-      for (K2 k2 : getCounter(k1).keySet()) {
-        result.add(k2);
-      }
-    }
-    return result;
-  }
-
-  public boolean isEmpty() {
-    return map.isEmpty();
-  }
-
-  public ClassicCounter<Pair<K1, K2>> flatten() {
-    ClassicCounter<Pair<K1, K2>> result = new ClassicCounter<Pair<K1, K2>>();
-    result.setDefaultReturnValue(defaultValue);
-    for (K1 key1 : firstKeySet()) {
-      ClassicCounter<K2> inner = getCounter(key1);
-      for (K2 key2 : inner.keySet()) {
-        result.setCount(new Pair<K1, K2>(key1, key2), inner.getCount(key2));
-      }
-    }
-    return result;
-  }
-
-  public void addAll(TwoDimensionalCounter<K1, K2> c) {
-    for (K1 key : c.firstKeySet()) {
-      ClassicCounter<K2> inner = c.getCounter(key);
-      ClassicCounter<K2> myInner = getCounter(key);
-      Counters.addInPlace(myInner, inner);
-      total += inner.totalCount();
-    }
-  }
-
-  public void addAll(K1 key, Counter<K2> c) {
-    ClassicCounter<K2> myInner = getCounter(key);
-    Counters.addInPlace(myInner, c);
-    total += c.totalCount();
-  }
-
-  public void subtractAll(K1 key, Counter<K2> c) {
-    ClassicCounter<K2> myInner = getCounter(key);
-    Counters.subtractInPlace(myInner, c);
-    total -= c.totalCount();
-  }
-
-  public void subtractAll(TwoDimensionalCounter<K1, K2> c, boolean removeKeys) {
-    for (K1 key : c.firstKeySet()) {
-      ClassicCounter<K2> inner = c.getCounter(key);
-      ClassicCounter<K2> myInner = getCounter(key);
-      Counters.subtractInPlace(myInner, inner);
-      if (removeKeys)
-        Counters.retainNonZeros(myInner);
-      total -= inner.totalCount();
-    }
-  }
-
-  /**
-   * Returns the counters with keys as the first key and count as the
-   * total count of the inner counter for that key
-   *
-   * @return counter of type K1
-   */
-  public Counter<K1> sumInnerCounter() {
-    Counter<K1> summed = new ClassicCounter<K1>();
-    for (K1 key : this.firstKeySet()) {
-      summed.incrementCount(key, this.getCounter(key).totalCount());
-    }
-    return summed;
-  }
-
-  public void removeZeroCounts() {
-    Set<K1> firstKeySet = new HashSet<K1>(firstKeySet());
-    for (K1 k1 : firstKeySet) {
-      ClassicCounter<K2> c = getCounter(k1);
-      Counters.retainNonZeros(c);
-      if (c.size() == 0)
-        map.remove(k1); // it's empty, get rid of it!
-    }
-  }
-
-  public void remove(K1 key) {
-    ClassicCounter<K2> counter = map.get(key);
-    if (counter != null) {
-      total -= counter.totalCount();
-    }
-    map.remove(key);
-  }
-
-  public void clean() {
-    for (K1 key1 : new HashSet<K1>(map.keySet())) {
-      ClassicCounter<K2> c = map.get(key1);
-      for (K2 key2 : new HashSet<K2>(c.keySet())) {
-        if (SloppyMath.isCloseTo(0.0, c.getCount(key2))) {
-          c.remove(key2);
-        }
-      }
-      if (c.keySet().isEmpty()) {
-        map.remove(key1);
-      }
-    }
-  }
-
-  public MapFactory<K1, ClassicCounter<K2>> getOuterMapFactory() {
-    return outerMF;
-  }
-
-  public MapFactory<K2, MutableDouble> getInnerMapFactory() {
-    return innerMF;
-  }
-
-  public TwoDimensionalCounter() {
-    this(MapFactory.<K1, ClassicCounter<K2>> hashMapFactory(), MapFactory.<K2, MutableDouble> hashMapFactory());
-  }
-
-  public TwoDimensionalCounter(MapFactory<K1, ClassicCounter<K2>> outerFactory,
-      MapFactory<K2, MutableDouble> innerFactory) {
-    innerMF = innerFactory;
-    outerMF = outerFactory;
-    map = outerFactory.newMap();
-    total = 0.0;
-  }
-
-  public static void main(String[] args) {
-    TwoDimensionalCounter<String, String> cc = new TwoDimensionalCounter<String, String>();
-    cc.setCount("a", "c", 1.0);
-    cc.setCount("b", "c", 1.0);
-    cc.setCount("a", "d", 1.0);
-    cc.setCount("a", "d", -1.0);
-    cc.setCount("b", "d", 1.0);
-    System.out.println(cc);
-    cc.incrementCount("b", "d", 1.0);
-    System.out.println(cc);
-    TwoDimensionalCounter<String, String> cc2 = TwoDimensionalCounter.reverseIndexOrder(cc);
-    System.out.println(cc2);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/AbstractCollinsHeadFinder.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/AbstractCollinsHeadFinder.java
deleted file mode 100644
index ea5c390..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/AbstractCollinsHeadFinder.java
+++ /dev/null
@@ -1,354 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.Map;
-
-/**
- * A base class for Head Finders similar to the one described in
- * Michael Collins' 1999 thesis.  For a given constituent we perform
- * <p/>
- * for categoryList in categoryLists
- * for index = 1 to n [or n to 1 if R->L]
- * for category in categoryList
- * if category equals daughter[index] choose it.
- * <p/>
- * with a final default that goes with the direction (L->R or R->L)
- * For most constituents, there will be only one category in the list,
- * the exception being, in Collins' original version, NP.
- * <p/>
- * It is up to the overriding base class to initialize the map
- * from constituent type to categoryLists, "nonTerminalInfo",
- * in its constructor.
- * Entries are presumed to be of type String[][].  Each String[] is a list of
- * categories, except for the first entry, which specifies direction of
- * traversal and must be one of "right", "left" or "rightdis" or "leftdis".
- * <p/>
- * "left" means search left-to-right by category and then by position
- * "leftdis" means search left-to-right by position and then by category
- * "right" means search right-to-left by category and then by position
- * "rightdis" means search right-to-left by position and then by category
- * "leftexcept" means to take the first thing from the left that isn't in the list
- * "rightexcept" means to take the first thing from the right that isn't on the list
- * <p/>
- * <p/>
- * 2002/10/28 -- Category label identity checking now uses the
- * equals() method instead of ==, so not interning category labels
- * shouldn't break things anymore.  (Roger Levy) <br>
- * 2003/02/10 -- Changed to use TreebankLanguagePack and to cut on
- * characters that set off annotations, so this should work even if
- * functional tags are still on nodes. <br>
- * 2004/03/30 -- Made abstract base class and subclasses for CollinsHeadFinder,
- * ModCollinsHeadFinder, SemanticHeadFinder, ChineseHeadFinder
- * (and trees.icegb.ICEGBHeadFinder, trees.international.negra.NegraHeadFinder,
- * and movetrees.EnglishPennMaxProjectionHeadFinder)
- * 2011/01/13 -- Add support for categoriesToAvoid (which can be set to ensure that
- * punctuation is not the head if there are other options)
- *
- * @author Christopher Manning
- * @author Galen Andrew
- */
-public abstract class AbstractCollinsHeadFinder implements HeadFinder /* Serializable */ {
-
-  private static final boolean DEBUG = false;
-  protected final TreebankLanguagePack tlp;
-  protected Map<String, String[][]> nonTerminalInfo;
-
-  /** Default direction if no rule is found for category.
-   *  Subclasses can turn it on if they like.
-   *  If they don't it is an error if no rule is defined for a category
-   *  (null is returned).
-   */
-  protected String[] defaultRule; // = null;
-  
-  /** These are built automatically from categoriesToAvoid and used in a fairly
-   *  different fashion from defaultRule (above).  These are used for categories
-   *  that do have defined rules but where none of them have matched.  Rather
-   *  than picking the rightmost or leftmost child, we will use these to pick
-   *  the the rightmost or leftmost child which isn't in categoriesToAvoid.
-   */
-  private String[] defaultLeftRule;
-  private String[] defaultRightRule;
-
-  protected AbstractCollinsHeadFinder(TreebankLanguagePack tlp) {
-    this.tlp = tlp;
-    setCategoriesToAvoid(new String[] {});
-  }
-
-  /**
-   * Set categories which, if it comes to last resort processing (i.e. none of
-   * the rules matched), will be avoided as heads. In last resort processing,
-   * it will attempt to match the leftmost or rightmost constituent not in this
-   * set but will fall back to the left or rightmost constituent if necessary.
-   * 
-   * @param categoriesToAvoid list of constituent types to avoid
-   */
-  protected void setCategoriesToAvoid(String[] categoriesToAvoid) {
-    // automatically build defaultLeftRule, defaultRightRule
-    ArrayList<String> asList = new ArrayList<String>(Arrays.asList(categoriesToAvoid));
-    asList.add(0, "leftexcept");
-    defaultLeftRule = new String[asList.size()];
-    defaultRightRule = new String[asList.size()];
-    asList.toArray(defaultLeftRule);
-    asList.set(0, "rightexcept");
-    asList.toArray(defaultRightRule);
-  }
-
-  /**
-   * A way for subclasses for corpora with explicit head markings
-   * to return the explicitly marked head
-   *
-   * @param t a tree to find the head of
-   * @return the marked head-- null if no marked head
-   */
-  // to be overridden in subclasses for corpora
-  //
-  protected Tree findMarkedHead(Tree t) {
-    return null;
-  }
-
-  /**
-   * Determine which daughter of the current parse tree is the head.
-   *
-   * @param t The parse tree to examine the daughters of.
-   *          If this is a leaf, <code>null</code> is returned
-   * @return The daughter parse tree that is the head of <code>t</code>
-   * @see Tree#percolateHeads(HeadFinder)
-   *      for a routine to call this and spread heads throughout a tree
-   */
-  public Tree determineHead(Tree t) {
-    return determineHead(t, null);
-  }
-
-  /**
-   * Determine which daughter of the current parse tree is the head.
-   *
-   * @param t The parse tree to examine the daughters of.
-   *          If this is a leaf, <code>null</code> is returned
-   * @param parent The parent of t
-   * @return The daughter parse tree that is the head of <code>t</code>.
-   *   Returns null for leaf nodes.
-   * @see Tree#percolateHeads(HeadFinder)
-   *      for a routine to call this and spread heads throughout a tree
-   */
-  public Tree determineHead(Tree t, Tree parent) {
-    if (nonTerminalInfo == null) {
-      throw new RuntimeException("Classes derived from AbstractCollinsHeadFinder must" + " create and fill HashMap nonTerminalInfo.");
-    }
-    if (DEBUG) {
-      System.err.println("determineHead for " + t.value());
-    }
-
-    if (t.isLeaf()) {
-      return null;
-    }
-    Tree[] kids = t.children();
-
-    Tree theHead;
-    // first check if subclass found explicitly marked head
-    if ((theHead = findMarkedHead(t)) != null) {
-      if (DEBUG) {
-        System.err.println("Find marked head method returned " +
-                           theHead.label() + " as head of " + t.label());
-      }
-      return theHead;
-    }
-
-    // if the node is a unary, then that kid must be the head
-    // it used to special case preterminal and ROOT/TOP case
-    // but that seemed bad (especially hardcoding string "ROOT")
-    if (kids.length == 1) {
-      if (DEBUG) {
-        System.err.println("Only one child determines " +
-                           kids[0].label() + " as head of " + t.label());
-      }
-      return kids[0];
-    }
-
-    return determineNonTrivialHead(t, parent);
-  }
-
-  /** Called by determineHead and may be overridden in subclasses
-   *  if special treatment is necessary for particular categories.
-   */
-  protected Tree determineNonTrivialHead(Tree t, Tree parent) {
-    Tree theHead = null;
-    String motherCat = tlp.basicCategory(t.label().value());
-    if (DEBUG) {
-      System.err.println("Looking for head of " + t.label() +
-                         "; value is |" + t.label().value() + "|, " +
-                         " baseCat is |" + motherCat + '|');
-    }
-    // We know we have nonterminals underneath
-    // (a bit of a Penn Treebank assumption, but).
-
-    // Look at label.
-    // a total special case....
-    // first look for POS tag at end
-    // this appears to be redundant in the Collins case since the rule already would do that
-    //    Tree lastDtr = t.lastChild();
-    //    if (tlp.basicCategory(lastDtr.label().value()).equals("POS")) {
-    //      theHead = lastDtr;
-    //    } else {
-    String[][] how = nonTerminalInfo.get(motherCat);
-    if (how == null) {
-      if (DEBUG) {
-        System.err.println("Warning: No rule found for " + motherCat +
-                           " (first char: " + motherCat.charAt(0) + ')');
-        System.err.println("Known nonterms are: " + nonTerminalInfo.keySet());
-      }
-      if (defaultRule != null) {
-        if (DEBUG) {
-          System.err.println("  Using defaultRule");
-        }
-        return traverseLocate(t.children(), defaultRule, true);
-      } else {
-        return null;
-      }
-    }
-    for (int i = 0; i < how.length; i++) {
-      boolean lastResort = (i == how.length - 1);
-      theHead = traverseLocate(t.children(), how[i], lastResort);
-      if (theHead != null) {
-        break;
-      }
-    }
-    if (DEBUG) {
-      System.err.println("  Chose " + theHead.label());
-    }
-    return theHead;
-  }
-
-  /**
-   * Attempt to locate head daughter tree from among daughters.
-   * Go through daughterTrees looking for things from a set found by
-   * looking up the motherkey specifier in a hash map, and if
-   * you do not find one, take leftmost or rightmost thing iff
-   * lastResort is true, otherwise return <code>null</code>.
-   */
-  protected Tree traverseLocate(Tree[] daughterTrees, String[] how, boolean lastResort) {
-    int headIdx = 0;
-    String childCat;
-    boolean found = false;
-
-    if (how[0].equals("left")) {
-      twoloop:
-        for (int i = 1; i < how.length; i++) {
-          for (headIdx = 0; headIdx < daughterTrees.length; headIdx++) {
-            childCat = tlp.basicCategory(daughterTrees[headIdx].label().value());
-            if (how[i].equals(childCat)) {
-              found = true;
-              break twoloop;
-            }
-          }
-        }
-    } else if (how[0].equals("leftdis")) {
-      twoloop:
-        for (headIdx = 0; headIdx < daughterTrees.length; headIdx++) {
-          childCat = tlp.basicCategory(daughterTrees[headIdx].label().value());
-          for (int i = 1; i < how.length; i++) {
-            if (how[i].equals(childCat)) {
-              found = true;
-              break twoloop;
-            }
-          }
-        }
-    } else if (how[0].equals("right")) {
-      // from right
-      twoloop:
-        for (int i = 1; i < how.length; i++) {
-          for (headIdx = daughterTrees.length - 1; headIdx >= 0; headIdx--) {
-            childCat = tlp.basicCategory(daughterTrees[headIdx].label().value());
-            if (how[i].equals(childCat)) {
-              found = true;
-              break twoloop;
-            }
-          }
-        }
-    } else if (how[0].equals("rightdis")) {
-      // from right, but search for any, not in turn
-      twoloop:
-        for (headIdx = daughterTrees.length - 1; headIdx >= 0; headIdx--) {
-          childCat = tlp.basicCategory(daughterTrees[headIdx].label().value());
-          for (int i = 1; i < how.length; i++) {
-            if (how[i].equals(childCat)) {
-              found = true;
-              break twoloop;
-            }
-          }
-        }
-    } else if (how[0].equals("leftexcept")) {
-      for (headIdx = 0; headIdx < daughterTrees.length; headIdx++) {
-        childCat = tlp.basicCategory(daughterTrees[headIdx].label().value());
-        found = true;
-        for (int i = 1; i < how.length; i++) {
-          if (how[i].equals(childCat)) {
-            found = false;
-          }
-        }
-        if (found) {
-          break;
-        }
-      }
-    } else if (how[0].equals("rightexcept")) {
-      for (headIdx = daughterTrees.length - 1; headIdx >= 0; headIdx--) {
-        childCat = tlp.basicCategory(daughterTrees[headIdx].label().value());
-        found = true;
-        for (int i = 1; i < how.length; i++) {
-          if (how[i].equals(childCat)) {
-            found = false;
-          }
-        }
-        if (found) {
-          break;
-        }
-      }
-    } else {
-      throw new RuntimeException("ERROR: invalid direction type " + how[0] + " to nonTerminalInfo map in AbstractCollinsHeadFinder.");
-    }
-    
-    // what happens if our rule didn't match anything
-    if (!found) {
-      if (lastResort) {
-        // use the default rule to try to match anything except categoriesToAvoid
-        // if that doesn't match, we'll return the left or rightmost child (by
-        // setting headIdx).  We want to be careful to ensure that postOperationFix
-        // runs exactly once.
-        String[] rule;
-        if (how[0].startsWith("left")) {
-          headIdx = 0;
-          rule = defaultLeftRule;
-        } else {
-          headIdx = daughterTrees.length - 1;
-          rule = defaultRightRule;
-        }
-        Tree child = traverseLocate(daughterTrees, rule, false);
-        if (child != null) {
-          return child;
-        }
-      } else {
-        // if we're not the last resort, we can return null to let the next rule try to match
-        return null;
-      }
-    }
-    
-    headIdx = postOperationFix(headIdx, daughterTrees);
-
-    return daughterTrees[headIdx];
-  }
-
-  /**
-   * A way for subclasses to fix any heads under special conditions
-   * The default does nothing.
-   *
-   * @param headIdx       the index of the proposed head
-   * @param daughterTrees the array of daughter trees
-   * @return the new headIndex
-   */
-  protected int postOperationFix(int headIdx, Tree[] daughterTrees) {
-    return headIdx;
-  }
-
-  private static final long serialVersionUID = -6540278059442931087L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/AbstractTreebankLanguagePack.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/AbstractTreebankLanguagePack.java
deleted file mode 100644
index 789d172..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/AbstractTreebankLanguagePack.java
+++ /dev/null
@@ -1,582 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.Serializable;
-
-import edu.stanford.nlp.international.morph.MorphoFeatureSpecification;
-import edu.stanford.nlp.ling.HasWord;
-import edu.stanford.nlp.objectbank.TokenizerFactory;
-import edu.stanford.nlp.process.WhitespaceTokenizer;
-import edu.stanford.nlp.util.Filter;
-import edu.stanford.nlp.util.Filters;
-import edu.stanford.nlp.util.Function;
-
-
-/**
- * This provides an implementation of parts of the TreebankLanguagePack
- * API to reduce the load on fresh implementations.  Only the abstract
- * methods below need to be implemented to give a reasonable solution for
- * a new language.
- *
- * @author Christopher Manning
- * @version 1.1
- */
-public abstract class AbstractTreebankLanguagePack implements TreebankLanguagePack {
-
-  /**
-   * So changed versions deserialize correctly.
-   */
-  private static final long serialVersionUID = -6506749780512708352L;
-
-
-  //Grammatical function parameters
-  /**
-   * Default character for indicating that something is a grammatical fn; probably should be overridden by
-   * lang specific ones
-   */
-  protected char gfCharacter;
-  protected static final char DEFAULT_GF_CHAR = '-';
-
-
-  /**
-   * Use this as the default encoding for Readers and Writers of
-   * Treebank data.
-   */
-  public static final String DEFAULT_ENCODING = "UTF-8";
-
-
-  /**
-   * Gives a handle to the TreebankLanguagePack.
-   */
-  public AbstractTreebankLanguagePack() {
-    this(DEFAULT_GF_CHAR);
-  }
-
-
-  /**
-   * Gives a handle to the TreebankLanguagePack.
-   *
-   * @param gfChar The character that sets of grammatical functions in node labels.
-   */
-  public AbstractTreebankLanguagePack(char gfChar) {
-    this.gfCharacter = gfChar;
-  }
-
-  /**
-   * Returns a String array of punctuation tags for this treebank/language.
-   *
-   * @return The punctuation tags
-   */
-  public abstract String[] punctuationTags();
-
-  /**
-   * Returns a String array of punctuation words for this treebank/language.
-   *
-   * @return The punctuation words
-   */
-  public abstract String[] punctuationWords();
-
-  /**
-   * Returns a String array of sentence final punctuation tags for this
-   * treebank/language.
-   *
-   * @return The sentence final punctuation tags
-   */
-  public abstract String[] sentenceFinalPunctuationTags();
-
-  /**
-   * Returns a String array of punctuation tags that EVALB-style evaluation
-   * should ignore for this treebank/language.
-   * Traditionally, EVALB has ignored a subset of the total set of
-   * punctuation tags in the English Penn Treebank (quotes and
-   * period, comma, colon, etc., but not brackets)
-   *
-   * @return Whether this is a EVALB-ignored punctuation tag
-   */
-  public String[] evalBIgnoredPunctuationTags() {
-    return punctuationTags();
-  }
-
-
-  /**
-   * Accepts a String that is a punctuation
-   * tag name, and rejects everything else.
-   *
-   * @return Whether this is a punctuation tag
-   */
-  public boolean isPunctuationTag(String str) {
-    return punctTagStringAcceptFilter.accept(str);
-  }
-
-
-  /**
-   * Accepts a String that is a punctuation
-   * word, and rejects everything else.
-   * If one can't tell for sure (as for ' in the Penn Treebank), it
-   * maks the best guess that it can.
-   *
-   * @return Whether this is a punctuation word
-   */
-  public boolean isPunctuationWord(String str) {
-    return punctWordStringAcceptFilter.accept(str);
-  }
-
-
-  /**
-   * Accepts a String that is a sentence end
-   * punctuation tag, and rejects everything else.
-   *
-   * @return Whether this is a sentence final punctuation tag
-   */
-  public boolean isSentenceFinalPunctuationTag(String str) {
-    return sFPunctTagStringAcceptFilter.accept(str);
-  }
-
-
-  /**
-   * Accepts a String that is a punctuation
-   * tag that should be ignored by EVALB-style evaluation,
-   * and rejects everything else.
-   * Traditionally, EVALB has ignored a subset of the total set of
-   * punctuation tags in the English Penn Treebank (quotes and
-   * period, comma, colon, etc., but not brackets)
-   *
-   * @return Whether this is a EVALB-ignored punctuation tag
-   */
-  public boolean isEvalBIgnoredPunctuationTag(String str) {
-    return eIPunctTagStringAcceptFilter.accept(str);
-  }
-
-
-  /**
-   * Return a filter that accepts a String that is a punctuation
-   * tag name, and rejects everything else.
-   *
-   * @return The filter
-   */
-  public Filter<String> punctuationTagAcceptFilter() {
-    return punctTagStringAcceptFilter;
-  }
-
-
-  /**
-   * Return a filter that rejects a String that is a punctuation
-   * tag name, and rejects everything else.
-   *
-   * @return The filter
-   */
-  public Filter<String> punctuationTagRejectFilter() {
-    return Filters.notFilter(punctTagStringAcceptFilter);
-  }
-
-
-  /**
-   * Returns a filter that accepts a String that is a punctuation
-   * word, and rejects everything else.
-   * If one can't tell for sure (as for ' in the Penn Treebank), it
-   * makes the best guess that it can.
-   *
-   * @return The Filter
-   */
-  public Filter<String> punctuationWordAcceptFilter() {
-    return punctWordStringAcceptFilter;
-  }
-
-
-  /**
-   * Returns a filter that accepts a String that is not a punctuation
-   * word, and rejects punctuation.
-   * If one can't tell for sure (as for ' in the Penn Treebank), it
-   * makes the best guess that it can.
-   *
-   * @return The Filter
-   */
-  public Filter<String> punctuationWordRejectFilter() {
-    return Filters.notFilter(punctWordStringAcceptFilter);
-  }
-
-
-  /**
-   * Returns a filter that accepts a String that is a sentence end
-   * punctuation tag, and rejects everything else.
-   *
-   * @return The Filter
-   */
-  public Filter<String> sentenceFinalPunctuationTagAcceptFilter() {
-    return sFPunctTagStringAcceptFilter;
-  }
-
-
-  /**
-   * Returns a filter that accepts a String that is a punctuation
-   * tag that should be ignored by EVALB-style evaluation,
-   * and rejects everything else.
-   * Traditionally, EVALB has ignored a subset of the total set of
-   * punctuation tags in the English Penn Treebank (quotes and
-   * period, comma, colon, etc., but not brackets)
-   *
-   * @return The Filter
-   */
-  public Filter<String> evalBIgnoredPunctuationTagAcceptFilter() {
-    return eIPunctTagStringAcceptFilter;
-  }
-
-
-  /**
-   * Returns a filter that accepts everything except a String that is a
-   * punctuation tag that should be ignored by EVALB-style evaluation.
-   * Traditionally, EVALB has ignored a subset of the total set of
-   * punctuation tags in the English Penn Treebank (quotes and
-   * period, comma, colon, etc., but not brackets)
-   *
-   * @return The Filter
-   */
-  public Filter<String> evalBIgnoredPunctuationTagRejectFilter() {
-    return Filters.notFilter(eIPunctTagStringAcceptFilter);
-  }
-
-
-  /**
-   * Return the input Charset encoding for the Treebank.
-   * See documentation for the <code>Charset</code> class.
-   *
-   * @return Name of Charset
-   */
-  public String getEncoding() {
-    return DEFAULT_ENCODING;
-  }
-
-
-  private static final char[] EMPTY_CHAR_ARRAY = new char[0];
-
-  /**
-   * Return an array of characters at which a String should be
-   * truncated to give the basic syntactic category of a label.
-   * The idea here is that Penn treebank style labels follow a syntactic
-   * category with various functional and crossreferencing information
-   * introduced by special characters (such as "NP-SBJ=1").  This would
-   * be truncated to "NP" by the array containing '-' and "=".
-   *
-   * @return An array of characters that set off label name suffixes
-   */
-  public char[] labelAnnotationIntroducingCharacters() {
-    return EMPTY_CHAR_ARRAY;
-  }
-
-
-  /**
-   * Returns the index of the first character that is after the basic
-   * label.  That is, if category is "NP-LGS", it returns 2.
-   * This routine assumes category != null.
-   * This routine returns 0 iff the String is of length 0.
-   * This routine always returns a number &lt;= category.length(), and
-   * so it is safe to pass it as an argument to category.substring().
-   * <p>
-   * NOTE: the routine should never allow the first character of a label
-   * to be taken as the annotation introducing character, because in the
-   * Penn Treebank, "-" is a valid tag, but also the character used to
-   * set of functional and co-indexing annotations.
-   *
-   * @param category Phrasal category
-   * @return The index of the first character that is after the basic
-   *     label
-   */
-  private int postBasicCategoryIndex(String category) {
-    boolean sawAtZero = false;
-    char seenAtZero = '\u0000';
-    int i = 0;
-    for (int leng = category.length(); i < leng; i++) {
-      char ch = category.charAt(i);
-      if (isLabelAnnotationIntroducingCharacter(ch)) {
-        if (i == 0) {
-          sawAtZero = true;
-          seenAtZero = ch;
-        } else if (sawAtZero && ch == seenAtZero) {
-          sawAtZero = false;
-        } else {
-          break;
-        }
-      }
-    }
-    return i;
-  }
-
-  /**
-   * Returns the basic syntactic category of a String.
-   * This implementation basically truncates
-   * stuff after an occurrence of one of the
-   * <code>labelAnnotationIntroducingCharacters()</code>.
-   * However, there is also special case stuff to deal with
-   * labelAnnotationIntroducingCharacters in category labels:
-   * (i) if the first char is in this set, it's never truncated
-   * (e.g., '-' or '=' as a token), and (ii) if it starts with
-   * one of this set, a second instance of the same item from this set is
-   * also excluded (to deal with '-LLB-', '-RCB-', etc.).
-   *
-   * @param category The whole String name of the label
-   * @return The basic category of the String
-   */
-  public String basicCategory(String category) {
-    if (category == null) {
-      return null;
-    }
-    return category.substring(0, postBasicCategoryIndex(category));
-  }
-
-
-  public String stripGF(String category) {
-    if(category == null) {
-      return null;
-    }
-    int index = category.lastIndexOf(gfCharacter);
-    if(index > 0) {
-      category = category.substring(0, index);
-    }
-    return category;
-  }
-
-  /**
-   * Returns a {@link Function Function} object that maps Strings to Strings according
-   * to this TreebankLanguagePack's basicCategory() method.
-   *
-   * @return The String->String Function object
-   */
-  public Function<String,String> getBasicCategoryFunction() {
-    return new BasicCategoryStringFunction(this);
-  }
-
-
-  private static class BasicCategoryStringFunction implements Function<String,String>, Serializable {
-
-    private static final long serialVersionUID = 1L;
-
-    private TreebankLanguagePack tlp;
-
-    BasicCategoryStringFunction(TreebankLanguagePack tlp) {
-      this.tlp = tlp;
-    }
-
-    public String apply(String in) {
-      return tlp.basicCategory(in);
-    }
-
-  }
-
-
-  private static class CategoryAndFunctionStringFunction implements Function<String,String>, Serializable {
-
-    private static final long serialVersionUID = 1L;
-
-    private TreebankLanguagePack tlp;
-
-    CategoryAndFunctionStringFunction(TreebankLanguagePack tlp) {
-      this.tlp = tlp;
-    }
-
-    public String apply(String in) {
-      return tlp.categoryAndFunction(in);
-    }
-
-  }
-
-
-  /**
-   * Returns the syntactic category and 'function' of a String.
-   * This normally involves truncating numerical coindexation
-   * showing coreference, etc.  By 'function', this means
-   * keeping, say, Penn Treebank functional tags or ICE phrasal functions,
-   * perhaps returning them as <code>category-function</code>.
-   * <p/>
-   * This implementation strips numeric tags after label introducing
-   * characters (assuming that non-numeric things are functional tags).
-   *
-   * @param category The whole String name of the label
-   * @return A String giving the category and function
-   */
-  public String categoryAndFunction(String category) {
-    if (category == null) {
-      return null;
-    }
-    String catFunc = category;
-    int i = lastIndexOfNumericTag(catFunc);
-    while (i >= 0) {
-      catFunc = catFunc.substring(0, i);
-      i = lastIndexOfNumericTag(catFunc);
-    }
-    return catFunc;
-  }
-
-  /**
-   * Returns the index within this string of the last occurrence of a
-   * isLabelAnnotationIntroducingCharacter which is followed by only
-   * digits, corresponding to a numeric tag at the end of the string.
-   * Example: <code>lastIndexOfNumericTag("NP-TMP-1") returns
-   * 6</code>.
-   *
-   * @param category A String category
-   * @return The index within this string of the last occurrence of a
-   *     isLabelAnnotationIntroducingCharacter which is followed by only
-   *     digits
-   */
-  private int lastIndexOfNumericTag(String category) {
-    if (category == null) {
-      return -1;
-    }
-    int last = -1;
-    for (int i = category.length() - 1; i >= 0; i--) {
-      if (isLabelAnnotationIntroducingCharacter(category.charAt(i))) {
-        boolean onlyDigitsFollow = false;
-        for (int j = i + 1; j < category.length(); j++) {
-          onlyDigitsFollow = true;
-          if (!(Character.isDigit(category.charAt(j)))) {
-            onlyDigitsFollow = false;
-            break;
-          }
-        }
-        if (onlyDigitsFollow) {
-          last = i;
-        }
-      }
-    }
-    return last;
-  }
-
-  /**
-   * Returns a {@link Function Function} object that maps Strings to Strings according
-   * to this TreebankLanguagePack's categoryAndFunction() method.
-   *
-   * @return The String->String Function object
-   */
-  public Function<String,String> getCategoryAndFunctionFunction() {
-    return new CategoryAndFunctionStringFunction(this);
-  }
-
-
-  /**
-   * Say whether this character is an annotation introducing
-   * character.
-   *
-   * @param ch The character to check
-   * @return Whether it is an annotation introducing character
-   */
-  public boolean isLabelAnnotationIntroducingCharacter(char ch) {
-    char[] cutChars = labelAnnotationIntroducingCharacters();
-    for (char cutChar : cutChars) {
-      if (ch == cutChar) {
-        return true;
-      }
-    }
-    return false;
-  }
-
-
-  /**
-   * Accepts a String that is a start symbol of the treebank.
-   *
-   * @return Whether this is a start symbol
-   */
-  public boolean isStartSymbol(String str) {
-    return startSymbolAcceptFilter.accept(str);
-  }
-
-
-  /**
-   * Return a filter that accepts a String that is a start symbol
-   * of the treebank, and rejects everything else.
-   *
-   * @return The filter
-   */
-  public Filter<String> startSymbolAcceptFilter() {
-    return startSymbolAcceptFilter;
-  }
-
-
-  /**
-   * Returns a String array of treebank start symbols.
-   *
-   * @return The start symbols
-   */
-  public abstract String[] startSymbols();
-
-
-  /**
-   * Returns a String which is the first (perhaps unique) start symbol
-   * of the treebank, or null if none is defined.
-   *
-   * @return The start symbol
-   */
-  public String startSymbol() {
-    String[] ssyms = startSymbols();
-    if (ssyms == null || ssyms.length == 0) {
-      return null;
-    }
-    return ssyms[0];
-  }
-
-
-  private final Filter<String> punctTagStringAcceptFilter = Filters.collectionAcceptFilter(punctuationTags());
-
-  private final Filter<String> punctWordStringAcceptFilter = Filters.collectionAcceptFilter(punctuationWords());
-
-  private final Filter<String> sFPunctTagStringAcceptFilter = Filters.collectionAcceptFilter(sentenceFinalPunctuationTags());
-
-  private final Filter<String> eIPunctTagStringAcceptFilter = Filters.collectionAcceptFilter(evalBIgnoredPunctuationTags());
-
-  private final Filter<String> startSymbolAcceptFilter = Filters.collectionAcceptFilter(startSymbols());
-
-  /**
-   * Return a tokenizer which might be suitable for tokenizing text that
-   * will be used with this Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white space).  The implementation in AbstractTreebankLanguagePack
-   * returns a factory for {@link WhitespaceTokenizer}.
-   *
-   * @return A tokenizer
-   */
-  public TokenizerFactory<? extends HasWord> getTokenizerFactory() {
-    return WhitespaceTokenizer.factory(false);
-  }
-
-  /**
-   * Return a GrammaticalStructureFactory suitable for this language/treebank.
-   * (To be overridden in subclasses.)
-   *
-   * @return A GrammaticalStructureFactory suitable for this language/treebank
-   */
-  public GrammaticalStructureFactory grammaticalStructureFactory() {
-    throw new UnsupportedOperationException("No GrammaticalStructureFactory defined for " + getClass().getName());
-  }
-
-  /**
-   * Return a GrammaticalStructureFactory suitable for this language/treebank.
-   * (To be overridden in subclasses.)
-   *
-   * @return A GrammaticalStructureFactory suitable for this language/treebank
-   */
-  public GrammaticalStructureFactory grammaticalStructureFactory(Filter<String> puncFilt) {
-    return grammaticalStructureFactory();
-  }
-
-  public char getGfCharacter() {
-    return gfCharacter;
-  }
-
-
-  public void setGfCharacter(char gfCharacter) {
-    this.gfCharacter = gfCharacter;
-  }
-
-  /** {@inheritDoc} */
-  public TreeReaderFactory treeReaderFactory() {
-    return new PennTreeReaderFactory();
-  }
-
-  /** {@inheritDoc} */
-  public TokenizerFactory<Tree> treeTokenizerFactory() {
-    return new TreeTokenizerFactory(treeReaderFactory());
-  }
-
-  /**
-   * Returns a morphological feature specification for words in this language.
-   */
-  public MorphoFeatureSpecification morphFeatureSpec() {
-    return null;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/BobChrisTreeNormalizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/BobChrisTreeNormalizer.java
deleted file mode 100644
index 66f9ef3..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/BobChrisTreeNormalizer.java
+++ /dev/null
@@ -1,154 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.util.Filter;
-
-
-/**
- * Normalizes trees in the way used in Manning and Carpenter 1997.
- * NB: This implementation is still incomplete!
- * The normalizations performed are: (i) terminals are interned, (ii)
- * nonterminals are stripped of alternants, functional tags and
- * cross-reference codes, and then interned, (iii) empty
- * elements (ones with nonterminal label "-NONE-") are deleted from the
- * tree, (iv) the null label at the root node is replaced with the label
- * "ROOT". <br>
- * 17 Apr 2001: This was fixed to work with different kinds of labels,
- * by making proper use of the Label interface, after it was moved into
- * the trees module.
- * <p/>
- * The normalizations of the original (Prolog) BobChrisNormalize were:
- * 1. Remap the root node to be called 'ROOT'
- * 2. Truncate all nonterminal labels before characters introducing
- * annotations according to TreebankLanguagePack
- * (traditionally, -, =, | or # (last for BLLIP))
- * 3. Remap the representation of certain leaf symbols (brackets etc.)
- * 4. Map to lowercase all leaf nodes
- * 5. Delete empty/trace nodes (ones marked '-NONE-')
- * 6. Recursively delete any nodes that do not dominate any words
- * 7. Delete A over A nodes where the top A dominates nothing else
- * 8. Remove backslahes from lexical items
- * (the Treebank inserts them to escape slashes (/) and stars (*)).
- * 4 is deliberately omitted, and a few things are purely aesthetic.
- * <p/>
- * 14 June 2002: It now deletes unary A over A if both nodes' labels are equal
- * (7), and (6) was always part of the Tree.prune() functionality...
- * 30 June 2005: Also splice out an EDITED node, just in case you're parsing
- * the Brown corpus.
- *
- * @author Christopher Manning
- */
-public class BobChrisTreeNormalizer extends TreeNormalizer {
-
-  protected final TreebankLanguagePack tlp;
-
-
-  public BobChrisTreeNormalizer() {
-    this(new PennTreebankLanguagePack());
-  }
-
-  public BobChrisTreeNormalizer(TreebankLanguagePack tlp) {
-    this.tlp = tlp;
-  }
-
-
-  /**
-   * Normalizes a leaf contents.
-   * This implementation interns the leaf.
-   */
-  @Override
-  public String normalizeTerminal(String leaf) {
-    // We could unquote * and / with backslash \ in front of them
-    return leaf.intern();
-  }
-
-
-  /**
-   * Normalizes a nonterminal contents.
-   * This implementation strips functional tags, etc. and interns the
-   * nonterminal.
-   */
-  @Override
-  public String normalizeNonterminal(String category) {
-    return cleanUpLabel(category).intern();
-  }
-
-
-  /**
-   * Remove things like hyphened functional tags and equals from the
-   * end of a node label.  This version always just returns the phrase
-   * structure category, or "ROOT" if the label was <code>null</code>.
-   *
-   * @param label The label from the treebank
-   * @return The cleaned up label (phrase structure category)
-   */
-  protected String cleanUpLabel(final String label) {
-    if (label == null || label.length() == 0) {
-      return "ROOT";
-      // String constants are always interned
-    } else {
-      return tlp.basicCategory(label);
-    }
-  }
-
-
-  /**
-   * Normalize a whole tree -- one can assume that this is the
-   * root.  This implementation deletes empty elements (ones with
-   * nonterminal tag label '-NONE-') from the tree, and splices out
-   * unary A over A nodes.  It does work for a null tree.
-   */
-  @Override
-  public Tree normalizeWholeTree(Tree tree, TreeFactory tf) {
-    return tree.prune(emptyFilter, tf).spliceOut(aOverAFilter, tf);
-  }
-
-
-  protected Filter<Tree> emptyFilter = new EmptyFilter();
-
-  protected Filter<Tree> aOverAFilter = new AOverAFilter();
-
-  private static final long serialVersionUID = -1005188028979810143L;
-
-
-  public static class EmptyFilter implements Filter<Tree> {
-
-    private static final long serialVersionUID = 8914098359495987617L;
-
-    /** Doesn't accept nodes that only cover an empty. */
-    public boolean accept(Tree t) {
-      Tree[] kids = t.children();
-      Label l = t.label();
-      // Delete (return false for) empty/trace nodes (ones marked '-NONE-')
-      return ! ((l != null) && "-NONE-".equals(l.value()) && !t.isLeaf() && kids.length == 1 && kids[0].isLeaf());
-    }
-
-      //    private static final long serialVersionUID = 1L;
-
-  } // end class EmptyFilter
-
-
-  public static class AOverAFilter implements Filter<Tree> {
-
-    /** Doesn't accept nodes that are A over A nodes (perhaps due to
-     *  empty removal or are EDITED nodes).
-     */
-    public boolean accept(Tree t) {
-      if (t.isLeaf() || t.isPreTerminal()) {
-        return true;
-      }
-      // The special switchboard non-terminals clause
-      if ("EDITED".equals(t.label().value()) || "CODE".equals(t.label().value())) {
-        return false;
-      }
-      if (t.numChildren() != 1) {
-        return true;
-      }
-      return ! (t.label() != null && t.label().value() != null && t.label().value().equals(t.getChild(0).label().value()));
-    }
-
-    private static final long serialVersionUID = 1L;
-
-  } // end class AOverAFilter
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CollinsHeadFinder.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CollinsHeadFinder.java
deleted file mode 100644
index f31d22f..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CollinsHeadFinder.java
+++ /dev/null
@@ -1,111 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.CategoryWordTag;
-
-import java.util.HashMap;
-
-/**
- * Implements the HeadFinder found in Michael Collins' 1999 thesis.
- * Except: we've added a head rule for NX, which returns the leftmost item.
- * No rule for the head of NX is found in any of the versions of
- * Collins' head table that we have (did he perhaps use the NP rules
- * for NX? -- no Bikel, CL, 2005 says it defaults to leftmost).
- * These rules are suitable for the Penn Treebank.
- * <p>
- * May 2004: Added support for AUX and AUXG to the VP rules; these cause
- * no interference in Penn Treebank parsing, but means that these rules
- * also work for the BLLIP corpus (or Charniak parser output in general).
- * Feb 2005: Fixes to coordination reheading so that punctuation cannot
- * become head.
- *
- * @author Christopher Manning
- */
-
-public class CollinsHeadFinder extends AbstractCollinsHeadFinder {
-
-  public CollinsHeadFinder() {
-    this(new PennTreebankLanguagePack());
-  }
-
-  protected int postOperationFix(int headIdx, Tree[] daughterTrees) {
-    if (headIdx >= 2) {
-      String prevLab = tlp.basicCategory(daughterTrees[headIdx - 1].value());
-      if (prevLab.equals("CC") || prevLab.equals("CONJP")) {
-        int newHeadIdx = headIdx - 2;
-        Tree t = daughterTrees[newHeadIdx];
-        while (newHeadIdx >= 0 && t.isPreTerminal() &&
-            tlp.isPunctuationTag(t.value())) {
-          newHeadIdx--;
-        }
-        if (newHeadIdx >= 0) {
-          headIdx = newHeadIdx;
-        }
-      }
-    }
-    return headIdx;
-  }
-
-  public CollinsHeadFinder(TreebankLanguagePack tlp) {
-    super(tlp);
-
-    nonTerminalInfo = new HashMap<String, String[][]>();
-    // This version from Collins' diss (1999: 236-238)
-    nonTerminalInfo.put("ADJP", new String[][]{{"left", "NNS", "QP", "NN", "$", "ADVP", "JJ", "VBN", "VBG", "ADJP", "JJR", "NP", "JJS", "DT", "FW", "RBR", "RBS", "SBAR", "RB"}});
-    nonTerminalInfo.put("ADVP", new String[][]{{"right", "RB", "RBR", "RBS", "FW", "ADVP", "TO", "CD", "JJR", "JJ", "IN", "NP", "JJS", "NN"}});
-    nonTerminalInfo.put("CONJP", new String[][]{{"right", "CC", "RB", "IN"}});
-    nonTerminalInfo.put("FRAG", new String[][]{{"right"}}); // crap
-    nonTerminalInfo.put("INTJ", new String[][]{{"left"}});
-    nonTerminalInfo.put("LST", new String[][]{{"right", "LS", ":"}});
-    nonTerminalInfo.put("NAC", new String[][]{{"left", "NN", "NNS", "NNP", "NNPS", "NP", "NAC", "EX", "$", "CD", "QP", "PRP", "VBG", "JJ", "JJS", "JJR", "ADJP", "FW"}});
-    nonTerminalInfo.put("NX", new String[][]{{"left"}}); // crap
-    nonTerminalInfo.put("PP", new String[][]{{"right", "IN", "TO", "VBG", "VBN", "RP", "FW"}});
-    // should prefer JJ? (PP (JJ such) (IN as) (NP (NN crocidolite)))
-    nonTerminalInfo.put("PRN", new String[][]{{"left"}});
-    nonTerminalInfo.put("PRT", new String[][]{{"right", "RP"}});
-    nonTerminalInfo.put("QP", new String[][]{{"left", "$", "IN", "NNS", "NN", "JJ", "RB", "DT", "CD", "NCD", "QP", "JJR", "JJS"}});
-    nonTerminalInfo.put("RRC", new String[][]{{"right", "VP", "NP", "ADVP", "ADJP", "PP"}});
-    nonTerminalInfo.put("S", new String[][]{{"left", "TO", "IN", "VP", "S", "SBAR", "ADJP", "UCP", "NP"}});
-    nonTerminalInfo.put("SBAR", new String[][]{{"left", "WHNP", "WHPP", "WHADVP", "WHADJP", "IN", "DT", "S", "SQ", "SINV", "SBAR", "FRAG"}});
-    nonTerminalInfo.put("SBARQ", new String[][]{{"left", "SQ", "S", "SINV", "SBARQ", "FRAG"}});
-    nonTerminalInfo.put("SINV", new String[][]{{"left", "VBZ", "VBD", "VBP", "VB", "MD", "VP", "S", "SINV", "ADJP", "NP"}});
-    nonTerminalInfo.put("SQ", new String[][]{{"left", "VBZ", "VBD", "VBP", "VB", "MD", "VP", "SQ"}});
-    nonTerminalInfo.put("UCP", new String[][]{{"right"}});
-    nonTerminalInfo.put("VP", new String[][]{{"left", "TO", "VBD", "VBN", "MD", "VBZ", "VB", "VBG", "VBP", "AUX", "AUXG", "VP", "ADJP", "NN", "NNS", "NP"}});
-    nonTerminalInfo.put("WHADJP", new String[][]{{"left", "CC", "WRB", "JJ", "ADJP"}});
-    nonTerminalInfo.put("WHADVP", new String[][]{{"right", "CC", "WRB"}});
-    nonTerminalInfo.put("WHNP", new String[][]{{"left", "WDT", "WP", "WP$", "WHADJP", "WHPP", "WHNP"}});
-    nonTerminalInfo.put("WHPP", new String[][]{{"right", "IN", "TO", "FW"}});
-    nonTerminalInfo.put("X", new String[][]{{"right"}}); // crap rule
-    nonTerminalInfo.put("NP", new String[][]{{"rightdis", "NN", "NNP", "NNPS", "NNS", "NX", "POS", "JJR"}, {"left", "NP"}, {"rightdis", "$", "ADJP", "PRN"}, {"right", "CD"}, {"rightdis", "JJ", "JJS", "RB", "QP"}});
-    nonTerminalInfo.put("TYPO", new String[][] {{"left"}}); // another crap rule, for Brown (Roger)
-    nonTerminalInfo.put("EDITED", new String[][] {{"left"}});  // crap rule for Switchboard (if don't delete EDITED nodes)
-    nonTerminalInfo.put("XS", new String[][] {{"right", "IN"}}); // rule for new structure in QP
-  }
-
-
-  /**
-   * Go through trees and determine their heads and print them.
-   * Just for debuggin'. <br>
-   * Usage: <code>
-   * java edu.stanford.nlp.trees.CollinsHeadFinder treebankFilePath
-   * </code>
-   *
-   * @param args The treebankFilePath
-   */
-  public static void main(String[] args) {
-    Treebank treebank = new DiskTreebank();
-    CategoryWordTag.suppressTerminalDetails = true;
-    treebank.loadPath(args[0]);
-    final HeadFinder chf = new CollinsHeadFinder();
-    treebank.apply(new TreeVisitor() {
-      public void visitTree(Tree pt) {
-        pt.percolateHeads(chf);
-        pt.pennPrint();
-        System.out.println();
-      }
-    });
-  }
-
-  private static final long serialVersionUID = -8747319554557223437L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CollocationFinder.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CollocationFinder.java
deleted file mode 100644
index 2b15700..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CollocationFinder.java
+++ /dev/null
@@ -1,384 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import static java.lang.System.err;
-
-import java.io.PrintWriter;
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.Collections;
-import java.util.List;
-
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.TaggedWord;
-import edu.stanford.nlp.ling.WordTag;
-import edu.stanford.nlp.process.Morphology;
-import edu.stanford.nlp.util.ArrayUtils;
-import edu.stanford.nlp.util.Generics;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.StringUtils;
-
-/**
- * Finds WordNet collocations in parse trees.  It can restructure
- * collocations as single words, where the original words are joined by
- * underscores.  You can test performance by using the "collocations" option
- * to the TreePrint class.
- *
- * @author Chris Cox
- * @author Eric Yeh
- */
-
-public class CollocationFinder {
-
-  private static boolean DEBUG = false;
-  private final Tree qTree;
-  private final HeadFinder hf;
-  private final List<Collocation> collocationCollector;
-  private final WordNetConnection wnConnect;
-
-  /**
-   * Construct a new {@code CollocationFinder} over the {@code Tree} t.
-   * The default {@link HeadFinder} is a {@link CollinsHeadFinder}.
-   * @param t parse tree
-   * @param w wordnet connection
-   */
-  public CollocationFinder(Tree t, WordNetConnection w) {
-    this(t, w, new CollinsHeadFinder());
-  }
-
-  /**
-   * Construct a new {@code CollocationFinder} over the {@code Tree} t.
-   * @param t parse tree
-   * @param w wordnet connection
-   * @param hf {@link HeadFinder} to use
-   */
-  public CollocationFinder(Tree t, WordNetConnection w, HeadFinder hf) {
-    this(t, w, hf, false);
-  }
-
-  /**
-   * Construct a new {@code CollocationFinder} over the {@code Tree} t.
-   * @param t parse tree
-   * @param w wordnet connection
-   * @param hf {@link HeadFinder} to use
-   * @param threadSafe whether to include synchronization, etc.
-   */
-  public CollocationFinder(Tree t, WordNetConnection w, HeadFinder hf, boolean threadSafe) {
-    CoordinationTransformer transformer = new CoordinationTransformer();
-    this.wnConnect = w;
-    this.qTree = transformer.transformTree(t);
-    this.collocationCollector = Generics.newArrayList();
-    this.hf = hf;
-    this.getCollocationsList(threadSafe);
-    if (DEBUG) {
-      System.err.println("Collected collocations: " + collocationCollector);
-    }
-  }
-
-  /**
-   * Returns the "collocations included" parse tree.
-   *
-   * @return the mangled tree which applies collocations found in this object.
-   */
-  public Tree getMangledTree() {
-    return getMangledTree(qTree);
-  }
-
-  private Tree getMangledTree(Tree t) {
-    Collocation matchingColl = null;
-    for (Tree child : t.children()) {
-      child = getMangledTree(child);
-    }
-    //boolean additionalCollocationsExist = false;
-    for (Collocation c : collocationCollector) {
-      // if there are multiple collocations with the same parent node,
-      // this will take the longer one
-      if (t.equals(c.parentNode)) {
-        if (matchingColl == null ||
-            (c.span.first() <= matchingColl.span.first() &&
-                c.span.second() >= matchingColl.span.second())) {
-          matchingColl = c;
-          if (DEBUG) {
-            err.println("Found matching collocation for tree:");
-            t.pennPrint();
-            err.print("  head label: " + c.headLabel);
-            err.println("; collocation string: " + c.collocationString);
-            err.println("  Constituents: "+ c.indicesOfConstituentChildren);
-          }
-        }
-      }
-    }
-
-    if (matchingColl == null) {
-      return t;
-    } else {
-      if (DEBUG) {
-        err.println("Collapsing " + matchingColl);
-      }
-      Tree[] allChildren = t.children();
-      // get the earliest child in the collocation and store it as first child.
-      // delete the rest.
-      StringBuffer mutatedString = new StringBuffer(160);
-      for (int i : matchingColl.indicesOfConstituentChildren) {
-        String strToAppend = mergeLeavesIntoCollocatedString(allChildren[i]);
-        mutatedString.append(strToAppend);
-        mutatedString.append("_");
-      }
-      mutatedString = mutatedString.deleteCharAt(mutatedString.length() - 1);
-
-      // Starting with the latest constituent, delete all the "pruned" children
-      if (DEBUG) { err.println("allChildren is: " + Arrays.toString(allChildren)); }
-      for (int index = matchingColl.indicesOfConstituentChildren.size() - 1; index > 0; index--) {
-        int thisConstituent = matchingColl.indicesOfConstituentChildren.get(index);
-        allChildren = (Tree[]) ArrayUtils.removeAt(allChildren, thisConstituent);
-        if (DEBUG) { err.println(" deleted " + thisConstituent + "; allChildren is: " + Arrays.toString(allChildren)); }
-      }
-      //name for the leaf string of our new collocation
-      String newNodeString = mutatedString.toString();
-
-      int firstChildIndex = matchingColl.indicesOfConstituentChildren.get(0);
-      //now we mutate the earliest constituent
-      Tree newCollocationChild = allChildren[firstChildIndex];
-      if (DEBUG) err.println("Manipulating: " + newCollocationChild);
-      newCollocationChild.setValue(matchingColl.headLabel.value());
-      Tree newCollocationLeaf = newCollocationChild.treeFactory().newLeaf(newNodeString);
-      newCollocationChild.setChildren(Collections.singletonList(newCollocationLeaf));
-      if (DEBUG) err.println("  changed to: " + newCollocationChild);
-
-      allChildren[firstChildIndex] = newCollocationChild;
-      t.setChildren(allChildren);
-
-      if (DEBUG) {
-        err.println("Restructured tree is:");
-        t.pennPrint();
-        err.println();
-      }
-      return t;
-    }
-  }
-
-/**
- * Traverses the parse tree to find WordNet collocations.
- */
-  private void getCollocationsList(boolean threadSafe) {
-    getCollocationsList(qTree, threadSafe);
-  }
-
-  /**
-   * Prints the collocations found in this <code>Tree</code> as strings.
-   * Each is followed by its boundary constituent indices in the original tree.
-   * <br>Example: <code> throw_up (2,3) </code>
-   *   <br>       <code> came_up_with (7,9) </code>
-   */
-  public void PrintCollocationStrings(PrintWriter pw){
-    //ArrayList<String> strs = new ArrayList<String>();
-    for(Collocation c: collocationCollector){
-      String cs = c.collocationString;
-      pw.println(cs+" ("+(c.span.first()+1)+","+(c.span.second()+1)+")");
-    }
-  }
-
-  /**
-   * This method does the work of traversing the tree and writing collocations
-   * to the CollocationCollector (an internal data structure).
-   *
-   * @param t Tree to get collocations from.
-   */
-  private void getCollocationsList(Tree t, boolean threadSafe) {
-    int leftMostLeaf = Trees.leftEdge(t,qTree);
-    if (t.isPreTerminal()) return;
-    List<Tree> children = t.getChildrenAsList();
-    if (children.isEmpty()) return;
-    //TODO: fix determineHead
-    // - in phrases like "World Trade Organization 's" the head of the parent NP is "POS".
-    // - this is problematic for the collocationFinder which assigns this head
-    // as the POS for the collocation "World_Trade_Organization"!
-    Label headLabel= hf.determineHead(t).label();
-    StringBuffer testString = null;
-    Integer leftSistersBuffer=0;//measures the length of sisters in words when reading
-    for (int i = 0; i < children.size();i++){
-      ArrayList<Integer> childConstituents = new ArrayList<Integer>();
-      childConstituents.add(i);
-      Tree subtree = children.get(i);
-      Integer currWindowLength=0; //measures the length in words of the current collocation.
-      getCollocationsList(subtree, threadSafe); //recursive call to get colls in subtrees.
-      testString = new StringBuffer(160);
-      testString.append(treeAsStemmedCollocation(subtree, threadSafe));
-      testString.append("_");
-      Integer thisSubtreeLength = subtree.yield().size();
-      currWindowLength+=thisSubtreeLength;
-      StringBuffer testStringNonStemmed = new StringBuffer(160);
-      testStringNonStemmed.append(treeAsNonStemmedCollocation(subtree));
-      testStringNonStemmed.append("_");
-
-      //for each subtree i, we iteratively append word yields of succeeding sister
-      //subtrees j and check their wordnet entries.  if they exist we write them to
-      //the global collocationCollector pair by the indices of the leftmost and
-      //rightmost words in the collocation.
-
-      for (int j = i+1; j < children.size(); j++) {
-        Tree sisterNode = children.get(j);
-        childConstituents.add(j);
-        testString.append(treeAsStemmedCollocation(sisterNode, threadSafe));
-        testStringNonStemmed.append(treeAsNonStemmedCollocation(sisterNode));
-        currWindowLength+=sisterNode.yield().size();
-        if (DEBUG) {
-       //   err.println("Testing string w/ reported indices:" + testString.toString()
-         //             + " (" +(leftMostLeaf+leftSistersBuffer)+","+(leftMostLeaf+leftSistersBuffer+currWindowLength-1)+")");
-        }
-        //ignore collocations beginning with "the" or "a"
-        if (StringUtils.lookingAt(testString.toString(), "(?:[Tt]he|THE|[Aa][Nn]?)[ _]")) {
-          if (false) {
-            err.println("CollocationFinder: Not collapsing the/a word: " +
-                testString);
-          }
-        } else if (wordNetContains(testString.toString())) {
-          Pair <Integer, Integer> c = new Pair<Integer,Integer>(leftMostLeaf+leftSistersBuffer,leftMostLeaf+leftSistersBuffer+currWindowLength-1);
-
-          Collocation col = new Collocation(c,t,(ArrayList<Integer>)childConstituents.clone(),testString.toString(),headLabel);
-          collocationCollector.add(col);
-          if (DEBUG) {
-            err.println("Found collocation in wordnet: "+ testString.toString());
-            err.println("  Span of collocation is: " + c +
-                "; childConstituents is: " + c);
-          }
-        }
-        testString.append("_");
-        if (StringUtils.lookingAt(testStringNonStemmed.toString(), "(?:[Tt]he|THE|[Aa][Nn]?)[ _]")) {
-          if (false) {
-            err.println("CollocationFinder: Not collapsing the/a word: " +
-                testStringNonStemmed);
-          }
-        } else if (wordNetContains(testStringNonStemmed.toString())) {
-          Pair <Integer, Integer> c = new Pair<Integer,Integer>(leftMostLeaf+leftSistersBuffer,leftMostLeaf+leftSistersBuffer+currWindowLength-1);
-
-          Collocation col = new Collocation(c,t,(ArrayList<Integer>)childConstituents.clone(),testStringNonStemmed.toString(),headLabel);
-          collocationCollector.add(col);
-          if (DEBUG) {
-            err.println("Found collocation in wordnet: "+ testStringNonStemmed.toString());
-            err.println("  Span of collocation is: " + c +
-                "; childConstituents is: " + c);
-          }
-        }
-        testStringNonStemmed.append("_");
-      }
-      leftSistersBuffer+=thisSubtreeLength;
-    }
-  }
-
-  private static String treeAsStemmedCollocation(Tree t, boolean threadSafe) {
-    List<WordTag> list= getStemmedWordTagsFromTree(t, threadSafe);
-    // err.println(list.size());
-    StringBuffer s = new StringBuffer(160);
-    WordTag firstWord = list.remove(0);
-    s.append(firstWord.word());
-    for(WordTag wt : list) {
-      s.append("_");
-      s.append(wt.word());
-    }
-    //err.println("Expressing this as:"+s.toString());
-    return s.toString();
-  }
-
-  private static String treeAsNonStemmedCollocation(Tree t) {
-    List<WordTag> list= getNonStemmedWordTagsFromTree(t);
-
-    StringBuffer s = new StringBuffer(160);
-    WordTag firstWord = list.remove(0);
-    s.append(firstWord.word());
-    for(WordTag wt : list) {
-      s.append("_");
-      s.append(wt.word());
-    }
-    return s.toString();
-  }
-
-  private static String mergeLeavesIntoCollocatedString(Tree t) {
-    StringBuilder sb = new StringBuilder(160);
-    ArrayList<TaggedWord> sent = t.taggedYield();
-    for (TaggedWord aSent : sent) {
-      sb.append(aSent.word()).append("_");
-    }
-    return sb.substring(0,sb.length() -1);
-  }
-
-  private static String mergeLeavesIntoCollocatedString(Tree[] trees) {
-    StringBuilder sb = new StringBuilder(160);
-    for (Tree t: trees) {
-      ArrayList<TaggedWord> sent = t.taggedYield();
-      for (TaggedWord aSent : sent) {
-        sb.append(aSent.word()).append("_");
-      }
-    }
-    return sb.substring(0,sb.length() -1);
-  }
-
-  /**
-   *
-   * @param t a tree
-   * @return the WordTags corresponding to the leaves of the tree,
-   * stemmed according to their POS tags in the tree.
-   */
-  private static List<WordTag> getStemmedWordTagsFromTree(Tree t, boolean threadSafe) {
-    List<WordTag> stemmedWordTags = Generics.newArrayList();
-    ArrayList<TaggedWord> s = t.taggedYield();
-    for (TaggedWord w : s) {
-      WordTag wt = threadSafe ? Morphology.stemStaticSynchronized(w.word(), w.tag())
-              : Morphology.stemStatic(w.word(), w.tag());
-      stemmedWordTags.add(wt);
-    }
-    return stemmedWordTags;
-  }
-
-  private static List<WordTag> getNonStemmedWordTagsFromTree(Tree t) {
-    List<WordTag> wordTags = Generics.newArrayList();
-    ArrayList<TaggedWord> s = t.taggedYield();
-    for (TaggedWord w : s) {
-      WordTag wt = new WordTag(w.word(), w.tag());
-      wordTags.add(wt);
-    }
-    return wordTags;
-  }
-
-  // Convert arg from StringBuffer to String - EY 02/02/07
-  /**
-   * Checks to see if WordNet contains the given word in its lexicon.
-   * @param s Token
-   * @return If the given token is in WordNet.
-   */
-  private boolean wordNetContains(String s) {
-    return wnConnect.wordNetContains(s);
-  }
-
-
-  /**
-   * Holds information for one collocation.
-   */
-  private static class Collocation {
-
-    Pair<Integer,Integer> span;
-    Tree parentNode;
-    Label headLabel;
-    List<Integer> indicesOfConstituentChildren;
-    String collocationString;
-
-    private Collocation(Pair<Integer,Integer> span,
-                        Tree parentNode,
-                        ArrayList<Integer> indicesOfConstituentChildren,
-                        String collocationString,
-                        Label headLabel) {
-      this.span=span;
-      this.parentNode = parentNode;
-      this.collocationString=collocationString;
-      this.indicesOfConstituentChildren=indicesOfConstituentChildren;
-      this.headLabel=headLabel;
-    }
-
-    @Override
-    public String toString() {
-      return collocationString + indicesOfConstituentChildren + "/" +
-             headLabel;
-    }
-
-  } // end static class Collocation
-
-} // end class CollocationFinder
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CompositeTreeTransformer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CompositeTreeTransformer.java
deleted file mode 100644
index b0fbb26..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CompositeTreeTransformer.java
+++ /dev/null
@@ -1,35 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.util.List;
-import java.util.ArrayList;
-
-/**
- * A TreeTransformer that applies component TreeTransformers in order.
- * The order in which they are applied is the order in which they are added or
- * the order in which they appear in the List passed to the constructor.
- *
- * @author Galen Andrew
- */
-public class CompositeTreeTransformer implements TreeTransformer {
-
-  private final List<TreeTransformer> transformers = new ArrayList<TreeTransformer>();
-
-  public CompositeTreeTransformer() {
-  }
-
-  public CompositeTreeTransformer(List<TreeTransformer> tt) {
-    transformers.addAll(tt);
-  }
-
-  public void addTransformer(TreeTransformer tt) {
-    transformers.add(tt);
-  }
-
-  public Tree transformTree(Tree t) {
-    for (TreeTransformer tt : transformers) {
-      t = tt.transformTree(t);
-    }
-    return t;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CompositeTreebank.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CompositeTreebank.java
deleted file mode 100644
index 2132d62..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CompositeTreebank.java
+++ /dev/null
@@ -1,70 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.File;
-import java.io.FileFilter;
-import java.util.Iterator;
-import java.util.Collection;
-
-/**
- * @author Galen Andrew
- */
-public class CompositeTreebank extends Treebank {
-  private Treebank t1;
-  private Treebank t2;
-
-  public CompositeTreebank(Treebank t1, Treebank t2) {
-    this.t1 = t1;
-    this.t2 = t2;
-  }
-
-  @Override
-  public void clear() {
-    t1.clear();
-    t2.clear();
-  }
-
-  @Override
-  public void loadPath(File path, FileFilter filt) {
-    throw new UnsupportedOperationException();
-  }
-
-  @Override
-  public void apply(TreeVisitor tp) {
-    for (Tree tree : this) {
-      tp.visitTree(tree);
-    }
-  }
-
-
-  @Override
-  public Iterator<Tree> iterator() {
-    return new CompositeTreebankIterator(t1, t2);
-  }
-
-
-  private static class CompositeTreebankIterator implements Iterator<Tree> {
-
-    private final Iterator<Tree> it1;
-    private final Iterator<Tree> it2;
-
-    public CompositeTreebankIterator(Collection<Tree> c1, Collection<Tree> c2) {
-      it1 = c1.iterator();
-      it2 = c2.iterator();
-    }
-
-    public boolean hasNext() {
-      return (it1.hasNext() || it2.hasNext());
-    }
-
-    public Tree next() {
-      Tree tree = it1.hasNext() ? it1.next() : it2.next();
-      return tree;
-    }
-
-    public void remove() {
-      throw new UnsupportedOperationException();
-    }
-
-  } // end static class CompositeTreebankIterator
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Constituent.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Constituent.java
deleted file mode 100644
index a73f99f..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Constituent.java
+++ /dev/null
@@ -1,294 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.util.Scored;
-
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.Collections;
-
-/**
- * A <code>Constituent</code> object defines a generic edge in a graph.
- * The <code>Constituent</code> class is designed to be extended.  It
- * implements the <code>Comparable</code> interface in order to allow
- * graphs to be topologically sorted by the ordinary <code>Collection</code>
- * library in <code>java.util</code>, keying primarily on right-hand
- * node ID number.  The <code>Constituent</code> class implements most
- * of the functionality of the the <code>Label</code>
- * interface by passing all requests down to the <code>Label</code> which
- * might be contained in the <code>Constituent</code>.  This allows one
- * to put a <code>Constituent</code> anywhere that a <code>Label</code> is
- * required.  A <code>Constituent</code> is always <code>Scored</code>.
- *
- * @author Christopher Manning
- */
-public abstract class Constituent implements Labeled, Scored, Label {
-
-  public Constituent() {}
-
-  /**
-   * access start node.
-   */
-  public abstract int start();
-
-  /**
-   * set start node.
-   */
-  public abstract void setStart(int start);
-
-
-  /**
-   * access end node.
-   */
-  public abstract int end();
-
-
-  /**
-   * set end node.
-   */
-  public abstract void setEnd(int end);
-
-
-  /**
-   * access label
-   */
-  public Label label() {
-    return null;
-  }
-
-
-  /**
-   * Sets the label associated with the current Constituent,
-   * if there is one.
-   */
-  public void setLabel(Label label) {
-    // a noop
-  }
-
-
-  /**
-   * Access labels -- actually always a singleton here.
-   */
-  public Collection<Label> labels() {
-    return Collections.singletonList(label());
-  }
-
-
-  public void setLabels(Collection<Label> labels) {
-    throw new UnsupportedOperationException("Constituent can't be multilabeled");
-  }
-
-
-  /**
-   * access score
-   */
-  public double score() {
-    return Double.NaN;
-  }
-
-
-  /**
-   * Sets the score associated with the current node, if there is one
-   */
-  public void setScore(double score) {
-    // a no-op
-  }
-
-
-  /**
-   * Return a string representation of a <code>Constituent</code>.
-   *
-   * @return The full string representation.
-   */
-  @Override
-  public String toString() {
-    StringBuffer sb;
-    Label lab = label();
-    if (lab != null) {
-      sb = new StringBuffer(lab.toString());
-    } else {
-      sb = new StringBuffer();
-    }
-    sb.append("(").append(start()).append(",").append(end()).append(")");
-    return sb.toString();
-  }
-
-
-  /**
-   * Return the length of a <code>Constituent</code>
-   */
-  public int size() {
-    return end() - start();
-  }
-
-
-  /**
-   * Compare with another Object for equality.
-   * Two Constituent objects are equal if they have the same start and end,
-   * and, if at least one of them has a non-null label, then their labels are equal.
-   * The score of a Constituent is not considered in the equality test.
-   * This seems to make sense for most of the applications we have in mind
-   * where one wants to assess equality independent of score, and then if
-   * necessary to relax a constituent if one with a better score is found.
-   * (Note, however, that if you do want to compare Constituent scores for
-   * equality, then you have to be careful,
-   * because two <code>double</code> NaN values are considered unequal in
-   * Java.)
-   * The general contract of equals() implies that one can't have a
-   * subclass of a concrete [non-abstract] class redefine equals() to use
-   * extra aspects, so subclasses shouldn't override this in ways that
-   * make use of extra fields.
-   *
-   * @param obj The object being compared with
-   * @return true if the objects are equal
-   */
-  @Override
-  public boolean equals(Object obj) {
-    // unclear if this will be a speedup in general
-    // if (this == o)
-    //      return true;
-    if (obj instanceof Constituent) {
-      Constituent c = (Constituent) obj;
-      // System.out.println("Comparing " + this + " to " + c + "\n  " +
-      //	"start: " + (start() == c.start()) + " end: " +
-      //	(end() == c.end()) + " score: " + (score() == c.score()));
-      if ((start() == c.start()) && (end() == c.end())) {
-        Label lab1 = label();
-        Label lab2 = c.label();
-        if (lab1 == null) {
-          return lab2 == null;
-        }
-        
-        if(lab1.value() != null)
-        	return (lab2.value() == null) ? false : lab1.value().equals(lab2.value());
-      }
-    }
-    return false;
-  }
-
-
-  /**
-   * A hashCode for Constituents done by shifting and or'ing for speed.
-   * Now includes the label if the constituent has one (otherwise things
-   * would work very badly if you were hashing constituents over the
-   * same span....).
-   *
-   * @return the integer hashCode
-   */
-  @Override
-  public int hashCode() {
-    int hash = (start() << 16) | end();
-    Label lab = label();
-    return (lab == null || lab.value() == null) ? hash : hash ^ lab.value().hashCode();
-  }
-
-
-  /**
-   * Detects whether this constituent overlaps a constituent without
-   * nesting, that is, whether they "cross".
-   *
-   * @param c The constituent to check against
-   * @return True if the two constituents cross
-   */
-  public boolean crosses(Constituent c) {
-    return (start() < c.start() && c.start() < end() && end() < c.end()) || (c.start() < start() && start() < c.end() && c.end() < end());
-  }
-
-
-  /**
-   * Detects whether this constituent overlaps any of a Collection of
-   * Constituents without
-   * nesting, that is, whether it "crosses" any of them.
-   *
-   * @param constColl The set of constituent to check against
-   * @return True if some constituent in the collection is crossed
-   * @throws ClassCastException If some member of the Collection isn't
-   *                            a Constituent
-   */
-  public boolean crosses(Collection<Constituent> constColl) {
-    for (Constituent c : constColl) {
-      if (crosses(c)) {
-        return true;
-      }
-    }
-    return false;
-  }
-
-
-  /**
-   * Detects whether this constituent contains a constituent, that is
-   * whether they are nested.  That is, the other constituent's yield is
-   * a sublist of this constituent's yield.
-   *
-   * @param c The constituent to check against
-   * @return True if the other Constituent is contained in this one
-   */
-  public boolean contains(Constituent c) {
-    return start() <= c.start() && end() >= c.end();
-  }
-
-
-
-  // -- below here is stuff to implement the Label interface
-
-  /**
-   * Return the value of the label (or null if none).
-   *
-   * @return String the value for the label
-   */
-  public String value() {
-    Label lab = label();
-    if (lab == null) {
-      return null;
-    }
-    return lab.value();
-  }
-
-
-  /**
-   * Set the value for the label (if one is stored).
-   *
-   * @param value The value for the label
-   */
-  public void setValue(String value) {
-    Label lab = label();
-    if (lab != null) {
-      lab.setValue(value);
-    }
-  }
-
-
-  /**
-   * Make a new label with this <code>String</code> as the "name", perhaps
-   * by doing some appropriate decoding of the string.
-   *
-   * @param labelStr the String that translates into the content of the
-   *                 label
-   */
-  public void setFromString(String labelStr) {
-    Label lab = label();
-    if (lab != null) {
-      lab.setFromString(labelStr);
-    }
-  }
-
-
-  /**
-   * Print out as a string the subpart of a sentence covered
-   * by this <code>Constituent</code>.
-   *
-   * @return The subpart of the sentence
-   */
-  // TODO: genericize this!
-  public String toSentenceString(ArrayList s) {
-    StringBuilder sb = new StringBuilder();
-    for (int wordNum = start(), end = end(); wordNum <= end; wordNum++) {
-      sb.append(s.get(wordNum));
-      if (wordNum != end) {
-        sb.append(" ");
-      }
-    }
-    return sb.toString();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/ConstituentFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/ConstituentFactory.java
deleted file mode 100644
index 379ea84..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/ConstituentFactory.java
+++ /dev/null
@@ -1,31 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-
-/**
- * A <code>ConstituentFactory</code> is a factory for creating objects
- * of class <code>Constituent</code>, or some descendent class.
- * An interface.
- *
- * @author Christopher Manning
- */
-public interface ConstituentFactory {
-
-  /**
-   * Build a constituent with this start and end.
-   *
-   * @param start Start position
-   * @param end   End position
-   */
-  public Constituent newConstituent(int start, int end);
-
-  /**
-   * Build a constituent with this start and end.
-   *
-   * @param start Start position
-   * @param end   End position
-   * @param label Label
-   * @param score Score
-   */
-  public Constituent newConstituent(int start, int end, Label label, double score);
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CoordinationTransformer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CoordinationTransformer.java
deleted file mode 100644
index b4b8b77..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/CoordinationTransformer.java
+++ /dev/null
@@ -1,485 +0,0 @@
-package edu.stanford.nlp.trees;
-
-
-import edu.stanford.nlp.ling.LabelFactory;
-import edu.stanford.nlp.trees.tregex.TregexPattern;
-import edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon;
-import edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern;
-import edu.stanford.nlp.util.Generics;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.StringUtils;
-
-import java.io.BufferedReader;
-import java.io.FileInputStream;
-import java.io.IOException;
-import java.io.InputStreamReader;
-import java.util.ArrayList;
-import java.util.List;
-import java.util.Properties;
-
-/**
- * Coordination transformer transforms a PennTreebank tree containing a coordination in a flat structure
- * in order to get the dependencies right.
- *
- * @author Marie-Catherine de Marneffe
- */
-public class CoordinationTransformer implements TreeTransformer {
-
-  private static final boolean VERBOSE = false;
-  private final TreeTransformer tn = new DependencyTreeTransformer(); //to get rid of unwanted nodes and tag
-  private final TreeTransformer qp = new QPTreeTransformer();         //to restructure the QP constituents
-
-
-  // default constructor
-  public CoordinationTransformer() {
-  }
-
-  /**
-   * Transforms t if it contains a coordination in a flat structure (CCtransform)
-   * and transforms UCP (UCPtransform).
-   *
-   * @param t a tree to be transformed
-   * @return t transformed
-   */
-  public Tree transformTree(Tree t) {
-    if (VERBOSE) {
-      System.err.println("Input to CoordinationTransformer: " + t);
-    }
-    Tree tx = tn.transformTree(t);
-    if (VERBOSE) {
-      System.err.println("After DependencyTreeTransformer:  " + tx);
-    }
-    if (tx == null) {
-      return tx;
-    }
-    Tree tt = UCPtransform(tx);
-    if (VERBOSE) {
-      System.err.println("After UCPTransformer:             " + t);
-    }
-    Tree ttt = CCtransform(tt);
-    if (VERBOSE) {
-      System.err.println("After CCTransformer:              " + t);
-    }
-    Tree ret = qp.transformTree(ttt);
-    if (VERBOSE) {
-      System.err.println("After QPTreeTransformer:          " + t);
-    }
-    return ret;
-  }
-
-
-  private static final TregexPattern[][] matchPatterns = {
-    {
-      // UCP (JJ ...) -> ADJP
-      TregexPattern.safeCompile("UCP=ucp <, /^JJ|ADJP/", true),
-      // UCP (DT JJ ...) -> ADJP
-      TregexPattern.safeCompile("UCP=ucp <, (DT $+ /^JJ|ADJP/)", true)
-    },
-    {
-      // UCP (N ...) -> NP
-      TregexPattern.safeCompile("UCP=ucp <, /^N/", true),
-      TregexPattern.safeCompile("UCP=ucp <, (DT $+ /^N/)", true)
-    }
-  };
-
-  private static final TsurgeonPattern[] operations = {
-    Tsurgeon.parseOperation("relabel ucp ADJP"),
-    Tsurgeon.parseOperation("relabel ucp NP"),
-  };
-
-  /**
-   * Transforms t if it contains an UCP, it will change the UCP tag
-   * into the phrasal tag of the first word of the UCP
-   * (UCP (JJ electronic) (, ,) (NN computer) (CC and) (NN building))
-   * will become
-   * (ADJP (JJ electronic) (, ,) (NN computer) (CC and) (NN building))
-   *
-   * @param t a tree to be transformed
-   * @return t transformed
-   */
-  public static Tree UCPtransform(Tree t) {
-    if (t == null) {
-      return null;
-    }
-    Tree firstChild = t.firstChild();
-    if (firstChild != null) {
-      List<Pair<TregexPattern,TsurgeonPattern>> ops = Generics.newArrayList();
-
-      for (int i = 0; i < operations.length; i++) {
-        for (TregexPattern pattern : matchPatterns[i]) {
-          ops.add(Generics.newPair(pattern, operations[i]));
-        }
-      }
-
-      return Tsurgeon.processPatternsOnTree(ops, t);
-    } else {
-      return t;
-    }
-  }
-
-
-  /**
-   * Transforms t if it contains a coordination in a flat structure
-   *
-   * @param t a tree to be transformed
-   * @return t transformed (give t not null, return will not be null)
-   */
-  public static Tree CCtransform(Tree t) {
-    boolean notDone = true;
-    while (notDone) {
-      Tree cc = findCCparent(t, t);
-      if (cc != null) {
-        t = cc;
-      } else {
-        notDone = false;
-      }
-    }
-    return t;
-  }
-
-  private static String getHeadTag(Tree t) {
-    if (t.value().startsWith("NN")) {
-      return "NP";
-    } else if (t.value().startsWith("JJ")) {
-      return "ADJP";
-    } else {
-      return "NP";
-    }
-  }
-
-
-  /** If things match, this method destructively changes the children list
-   *  of the tree t.  When this method is called, t is an NP and there must
-   *  be at least two children to the right of ccIndex.
-   *
-   *  @param t The tree to transform a conjunction in
-   *  @param ccIndex The index of the CC child
-   *  @return t
-   */
-  private static Tree transformCC(Tree t, int ccIndex) {
-    if (VERBOSE) {
-      System.err.println("transformCC in:  " + t);
-    }
-    //System.out.println(ccIndex);
-    // use the factories of t to create new nodes
-    TreeFactory tf = t.treeFactory();
-    LabelFactory lf = t.label().labelFactory();
-
-    Tree[] ccSiblings = t.children();
-
-    //check if other CC
-    List<Integer> list = new ArrayList<Integer>();
-    for (int i = ccIndex + 1; i < ccSiblings.length; i++) {
-      if (ccSiblings[i].value().startsWith("CC") && i < ccSiblings.length - 1) { // second conjunct to ensure that a CC we add isn't the last child
-        list.add(Integer.valueOf(i));
-      }
-    }
-
-    // a CC b c ... -> (a CC b) c ...  with b not a DT
-    String beforeSibling = ccSiblings[ccIndex - 1].value();
-    if (ccIndex == 1 && (beforeSibling.equals("DT") || beforeSibling.equals("JJ") || beforeSibling.equals("RB") || ! (ccSiblings[ccIndex + 1].value().equals("DT"))) && ! (beforeSibling.startsWith("NP")
-            || beforeSibling.equals("ADJP")
-            || beforeSibling.equals("NNS"))) { // && (ccSiblings.length == ccIndex + 3 || !list.isEmpty())) {  // something like "soya or maize oil"
-      String leftHead = getHeadTag(ccSiblings[ccIndex - 1]);
-      //create a new tree to be inserted as first child of t
-      Tree left = tf.newTreeNode(lf.newLabel(leftHead), null);
-      for (int i = 0; i < ccIndex + 2; i++) {
-        left.addChild(ccSiblings[i]);
-      }
-      if (VERBOSE) {
-        System.out.println("print left tree");
-        left.pennPrint();
-        System.out.println();
-      }
-
-      // remove all the children of t before ccIndex+2
-      for (int i = 0; i < ccIndex + 2; i++) {
-        t.removeChild(0);
-      }
-      if (VERBOSE) { if (t.numChildren() == 0) { System.out.println("Youch! No t children"); } }
-
-      // if stuff after (like "soya or maize oil and vegetables")
-      // we need to put the tree in another tree
-      if (!list.isEmpty()) {
-        boolean comma = false;
-        int index = list.get(0);
-        if (VERBOSE) {System.err.println("more CC index " +  index);}
-        if (ccSiblings[index - 1].value().equals(",")) {//to handle the case of a comma ("soya and maize oil, and vegetables")
-          index = index - 1;
-          comma = true;
-        }
-        if (VERBOSE) {System.err.println("more CC index " +  index);}
-        String head = getHeadTag(ccSiblings[index - 1]);
-        Tree tree = tf.newTreeNode(lf.newLabel(head), null);
-        tree.addChild(0, left);
-
-        int k = 1;
-        for (int j = ccIndex+2; j<index; j++) {
-          if (VERBOSE) ccSiblings[j].pennPrint();
-          t.removeChild(0);
-          tree.addChild(k, ccSiblings[j]);
-          k++;
-        }
-
-        if (VERBOSE) {
-          System.out.println("print t");
-          t.pennPrint();
-
-          System.out.println("print tree");
-          tree.pennPrint();
-          System.out.println();
-        }
-        t.addChild(0, tree);
-
-        Tree rightTree = tf.newTreeNode(lf.newLabel("NP"), null);
-        int start = 2;
-        if (comma) {
-          start++;
-        }
-        while (start < t.numChildren()) {
-          Tree sib = t.getChild(start);
-          t.removeChild(start);
-          rightTree.addChild(sib);
-        }
-        t.addChild(rightTree);
-      } else {
-        t.addChild(0, left);
-      }
-    }
-    // DT a CC b c -> DT (a CC b) c
-    else if (ccIndex == 2 && ccSiblings[0].value().startsWith("DT") && !ccSiblings[ccIndex - 1].value().equals("NNS") && (ccSiblings.length == 5 || (!list.isEmpty() && list.get(0) == 5))) {
-      String head = getHeadTag(ccSiblings[ccIndex - 1]);
-      //create a new tree to be inserted as second child of t (after the determiner
-      Tree child = tf.newTreeNode(lf.newLabel(head), null);
-
-      for (int i = 1; i < ccIndex + 2; i++) {
-        child.addChild(ccSiblings[i]);
-      }
-      if (VERBOSE) { if (child.numChildren() == 0) { System.out.println("Youch! No child children"); } }
-
-      // remove all the children of t between the determiner and ccIndex+2
-      //System.out.println("print left tree");
-      //child.pennPrint();
-
-      for (int i = 1; i < ccIndex + 2; i++) {
-        t.removeChild(1);
-      }
-
-      t.addChild(1, child);
-    }
-
-    // ... a, b CC c ... -> ... (a, b CC c) ...
-    else if (ccIndex > 2 && ccSiblings[ccIndex - 2].value().equals(",") && !ccSiblings[ccIndex - 1].value().equals("NNS")) {
-      String head = getHeadTag(ccSiblings[ccIndex - 1]);
-      Tree child = tf.newTreeNode(lf.newLabel(head), null);
-
-      for (int i = ccIndex - 3; i < ccIndex + 2; i++) {
-        child.addChild(ccSiblings[i]);
-      }
-      if (VERBOSE) { if (child.numChildren() == 0) { System.out.println("Youch! No child children"); } }
-
-      int i = ccIndex - 4;
-      while (i > 0 && ccSiblings[i].value().equals(",")) {
-        child.addChild(0, ccSiblings[i]);    // add the comma
-        child.addChild(0, ccSiblings[i - 1]);  // add the word before the comma
-        i = i - 2;
-      }
-
-      if (i < 0) {
-        i = -1;
-      }
-
-      // remove the old children
-      for (int j = i + 1; j < ccIndex + 2; j++) {
-        t.removeChild(i + 1);
-      }
-      // put the new tree
-      t.addChild(i + 1, child);
-    }
-
-    // something like "the new phone book and tour guide" -> multiple heads
-    // we want (NP the new phone book) (CC and) (NP tour guide)
-    else {
-      boolean commaLeft = false;
-      boolean commaRight = false;
-      boolean preconj = false;
-      int indexBegin = 0;
-      Tree conjT = tf.newTreeNode(lf.newLabel("CC"), null);
-
-      // create the left tree
-      String leftHead = getHeadTag(ccSiblings[ccIndex - 1]);
-      Tree left = tf.newTreeNode(lf.newLabel(leftHead), null);
-
-
-      // handle the case of a preconjunct (either, both, neither)
-      Tree first = ccSiblings[0];
-      String leaf = first.firstChild().value().toLowerCase();
-      if (leaf.equals("either") || leaf.equals("neither") || leaf.equals("both")) {
-        preconj = true;
-        indexBegin = 1;
-        conjT.addChild(first.firstChild());
-      }
-
-      for (int i = indexBegin; i < ccIndex - 1; i++) {
-        left.addChild(ccSiblings[i]);
-      }
-      // handle the case of a comma ("GM soya and maize, and food ingredients")
-      if (ccSiblings[ccIndex - 1].value().equals(",")) {
-        commaLeft = true;
-      } else {
-        left.addChild(ccSiblings[ccIndex - 1]);
-      }
-
-      // create the CC tree
-      Tree cc = ccSiblings[ccIndex];
-
-      // create the right tree
-      int nextCC;
-      if (list.isEmpty()) {
-        nextCC = ccSiblings.length;
-      } else {
-        nextCC = list.get(0);
-      }
-      String rightHead = getHeadTag(ccSiblings[nextCC - 1]);
-      Tree right = tf.newTreeNode(lf.newLabel(rightHead), null);
-      for (int i = ccIndex + 1; i < nextCC - 1; i++) {
-        right.addChild(ccSiblings[i]);
-      }
-      // handle the case of a comma ("GM soya and maize, and food ingredients")
-      if (ccSiblings[nextCC - 1].value().equals(",")) {
-        commaRight = true;
-      } else {
-        right.addChild(ccSiblings[nextCC - 1]);
-      }
-
-      if (VERBOSE) {
-        if (left.numChildren() == 0) { System.out.println("Youch! No left children"); }
-        if (right.numChildren() == 0) { System.out.println("Youch! No right children"); }
-      }
-
-      // put trees together in old t, first we remove the old nodes
-      for (int i = 0; i < nextCC; i++) {
-        t.removeChild(0);
-      }
-      if (!list.isEmpty()) { // need an extra level
-        Tree tree = tf.newTreeNode(lf.newLabel("NP"), null);
-
-        if (preconj) {
-          tree.addChild(conjT);
-        }
-        if (left.numChildren() > 0) {
-          tree.addChild(left);
-        }
-        if (commaLeft) {
-          tree.addChild(ccSiblings[ccIndex - 1]);
-        }
-        tree.addChild(cc);
-        if (right.numChildren() > 0) {
-          tree.addChild(right);
-        }
-        if (commaRight) {
-          t.addChild(0, ccSiblings[nextCC - 1]);
-        }
-        t.addChild(0, tree);
-      } else {
-        if (preconj) {
-          t.addChild(conjT);
-        }
-        if (left.numChildren() > 0) {
-          t.addChild(left);
-        }
-        if (commaLeft) {
-          t.addChild(ccSiblings[ccIndex - 1]);
-        }
-        t.addChild(cc);
-        if (right.numChildren() > 0) {
-          t.addChild(right);
-        }
-        if (commaRight) {
-          t.addChild(ccSiblings[nextCC - 1]);
-        }
-      }
-    }
-
-    if (VERBOSE) {
-      System.err.println("transformCC out: " + t);
-    }
-    return t;
-  }
-
-  private static boolean notNP(List<Tree> children, int ccIndex) {
-    for (int i = ccIndex, sz = children.size(); i < sz; i++) {
-      if (children.get(i).value().startsWith("NP")) {
-        return false;
-      }
-    }
-    return true;
-  }
-
-  /*
-   * Given a tree t, if this tree contains a CC inside a NP followed by 2 nodes
-   * (i.e. we have a flat structure that will not work for the dependencies),
-   * it will call transform CC on the NP containing the CC and the index of the
-   * CC, and then return the root of the whole transformed tree.
-   * If it finds no such tree, this method returns null.
-   */
-  private static Tree findCCparent(Tree t, Tree root) {
-    if (t.isPreTerminal()) {
-      if (t.value().startsWith("CC")) {
-        Tree parent = t.parent(root);
-        if (parent.value().startsWith("NP")) {
-          List<Tree> children = parent.getChildrenAsList();
-          //System.out.println(children);
-          int ccIndex = children.indexOf(t);
-          if (children.size() > ccIndex + 2 && notNP(children, ccIndex) && ccIndex != 0 && (ccIndex == children.size() - 1 || !children.get(ccIndex+1).value().startsWith("CC"))) {
-            transformCC(parent, ccIndex);
-            if (VERBOSE) {
-              System.err.println("After transformCC:             " + root);
-            }
-            return root;
-          }
-        }
-      }
-    } else {
-      for (Tree child : t.getChildrenAsList()) {
-        Tree cur = findCCparent(child, root);
-        if (cur != null) {
-          return cur;
-        }
-      }
-    }
-    return null;
-  }
-
-
-  public static void main(String[] args) {
-
-    CoordinationTransformer transformer = new CoordinationTransformer();
-    Treebank tb = new MemoryTreebank();
-    Properties props = StringUtils.argsToProperties(args);
-    String treeFileName = props.getProperty("treeFile");
-
-    if (treeFileName != null) {
-      try {
-        TreeReader tr = new PennTreeReader(new BufferedReader(new InputStreamReader(new FileInputStream(treeFileName))), new LabeledScoredTreeFactory());
-        for (Tree t ; (t = tr.readTree()) != null; ) {
-          tb.add(t);
-        }
-      } catch (IOException e) {
-        throw new RuntimeException("File problem: " + e);
-      }
-    }
-
-    for (Tree t : tb) {
-      System.out.println("Original tree");
-      t.pennPrint();
-      System.out.println();
-      System.out.println("Tree transformed");
-      Tree tree = transformer.transformTree(t);
-      tree.pennPrint();
-      System.out.println();
-      System.out.println("----------------------------");
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Dependencies.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Dependencies.java
deleted file mode 100644
index b8fe65e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Dependencies.java
+++ /dev/null
@@ -1,182 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.util.ArrayList;
-import java.util.Arrays;
-import java.util.Comparator;
-import java.util.HashMap;
-import java.util.HashSet;
-import java.util.List;
-import java.util.Map;
-import java.util.Set;
-
-import edu.stanford.nlp.ling.HasTag;
-import edu.stanford.nlp.ling.HasWord;
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation;
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.stats.Counter;
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.Filter;
-
-/** Utilities for Dependency objects.
- *
- *  @author Christopher Manning
- */
-public class Dependencies {
-
-  private Dependencies() {} // only static methods
-
-
-  public static class DependentPuncTagRejectFilter<G extends Label,D extends Label,N> implements Filter<Dependency<G, D, N>> {
-
-    private Filter<String> tagRejectFilter;
-
-    public DependentPuncTagRejectFilter(Filter<String> trf) {
-      tagRejectFilter = trf;
-    }
-
-    public boolean accept(Dependency<G, D, N> d) {
-      /*
-      System.err.println("DRF: Checking " + d + ": hasTag?: " +
-                         (d.dependent() instanceof HasTag) + "; value: " +
-                         ((d.dependent() instanceof HasTag)? ((HasTag) d.dependent()).tag(): null));
-      */
-      if (d == null) {
-        return false;
-      }
-      if ( ! (d.dependent() instanceof HasTag)) {
-        return false;
-      }
-      String tag = ((HasTag) d.dependent()).tag();
-      return tagRejectFilter.accept(tag);
-    }
-
-    private static final long serialVersionUID = -7732189363171164852L;
-
-  } // end class DependentPuncTagRejectFilter
-
-
-  public static class DependentPuncWordRejectFilter<G extends Label,D extends Label,N> implements Filter<Dependency<G, D, N>> {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = 1166489968248785287L;
-    private final Filter<String> wordRejectFilter;
-
-    /** @param wrf A filter that rejects punctuation words.
-     */
-    public DependentPuncWordRejectFilter(Filter<String> wrf) {
-      // System.err.println("wrf is " + wrf);
-      wordRejectFilter = wrf;
-    }
-
-    public boolean accept(Dependency<G, D, N> d) {
-      /*
-      System.err.println("DRF: Checking " + d + ": hasWord?: " +
-                         (d.dependent() instanceof HasWord) + "; value: " +
-                         ((d.dependent() instanceof HasWord)? ((HasWord) d.dependent()).word(): d.dependent().value()));
-      */
-      if (d == null) {
-        return false;
-      }
-      String word = null;
-      if (d.dependent() instanceof HasWord) {
-        word = ((HasWord) d.dependent()).word();
-      }
-      if (word == null) {
-        word = d.dependent().value();
-      }
-      // System.err.println("Dep: kid is " + ((MapLabel) d.dependent()).toString("value{map}"));
-      return wordRejectFilter.accept(word);
-    }
-
-  } // end class DependentPuncWordRejectFilter
-
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class ComparatorHolder {
-
-    private ComparatorHolder() {}
-
-    private static class DependencyIdxComparator implements Comparator<Dependency> {
-
-      public int compare(Dependency dep1, Dependency dep2) {
-        CoreMap dep1lab = (CoreMap) dep1.dependent();
-        CoreMap dep2lab = (CoreMap) dep2.dependent();
-        Integer dep1idx = dep1lab.get(IndexAnnotation.class);
-        Integer dep2idx = dep2lab.get(IndexAnnotation.class);
-        return dep1idx - dep2idx;
-      }
-
-    }
-
-    private static final Comparator<Dependency> dc = new DependencyIdxComparator();
-
-  }
-  
-  public static Map<TreeGraphNode,List<TypedDependency>> govToDepMap(List<TypedDependency> deps) {
-    Map<TreeGraphNode,List<TypedDependency>> govToDepMap = new HashMap<TreeGraphNode,List<TypedDependency>>();
-    for (TypedDependency dep : deps) {
-      TreeGraphNode gov = dep.gov();
-      
-      List<TypedDependency> depList = govToDepMap.get(gov);
-      if (depList == null) {
-        depList = new ArrayList<TypedDependency>();        
-        govToDepMap.put(gov, depList);
-      }
-      depList.add(dep);
-    }
-    return govToDepMap;
-  }
-  
-  private static Set<List<TypedDependency>> getGovMaxChains(Map<TreeGraphNode,List<TypedDependency>> govToDepMap, TreeGraphNode gov, int depth) {
-    Set<List<TypedDependency>> depLists = new HashSet<List<TypedDependency>>();
-    List<TypedDependency> children = govToDepMap.get(gov);
-    
-    if (depth > 0 && children != null) {
-      for (TypedDependency child : children) {
-        TreeGraphNode childNode = child.dep();
-        if (childNode == null) continue;
-        Set<List<TypedDependency>> childDepLists = getGovMaxChains(govToDepMap, childNode, depth-1);
-        if (childDepLists.size() != 0) {
-          for (List<TypedDependency> childDepList : childDepLists) {
-            List<TypedDependency> depList = new ArrayList<TypedDependency>(childDepList.size() + 1);
-            depList.add(child);
-            depList.addAll(childDepList);
-            depLists.add(depList);
-          }
-        } else {
-          depLists.add(Arrays.asList(child));
-        }
-      }
-    }
-    return depLists;
-  }
-  
-  public static Counter<List<TypedDependency>> getTypedDependencyChains(List<TypedDependency> deps, int maxLength) {
-    Map<TreeGraphNode,List<TypedDependency>> govToDepMap = govToDepMap(deps);
-    Counter<List<TypedDependency>> tdc = new ClassicCounter<List<TypedDependency>>();
-    for (TreeGraphNode gov : govToDepMap.keySet()) {      
-      Set<List<TypedDependency>> maxChains = getGovMaxChains(govToDepMap, gov, maxLength);
-      for (List<TypedDependency> maxChain : maxChains) {
-         for (int i = 1; i <= maxChain.size(); i++) {
-           List<TypedDependency> chain = maxChain.subList(0, i); 
-           tdc.incrementCount(chain);
-         }
-      }     
-    }
-    return tdc;
-  }
-  
-  /** A Comparator for Dependencies based on their dependent annotation.
-   *  It will only work if the Labels at the ends of Dependencies have
-   *  an index().
-   *
-   *  @return A Comparator for Dependencies
-   */
-  public static Comparator<Dependency> dependencyIndexComparator() {
-    return ComparatorHolder.dc;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Dependency.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Dependency.java
deleted file mode 100644
index d0c5b82..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Dependency.java
+++ /dev/null
@@ -1,64 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-
-import java.io.Serializable;
-
-
-/**
- * An individual dependency between a governor and a dependent.
- * The governor and dependent are represented as a Label.
- * For example, these can be a
- * Word or a WordTag.  If one wishes the dependencies to preserve positions
- * in a sentence, then each can be a LabeledConstituent or CoreLabel.
- * Dependencies support an Object naming the dependency type.  This may be
- * null.  Dependencies have factories.
- *
- * @author Christopher Manning
- */
-public interface Dependency<G extends Label,D extends Label,N> extends Serializable {
-
-  /**
-   * Describes the governor (regent/head) of the dependency relation.
-   * @return The governor of this dependency
-   */
-  public G governor();
-
-  /**
-   * Describes the dependent (argument/modifier) of
-   * the dependency relation.
-   * @return the dependent of this dependency
-   */
-  public D dependent();
-
-  /**
-   * Names the type of dependency (subject, instrument, ...).
-   * This might be a String in the simplest case, but can provide for
-   * arbitrary object types.
-   * @return the name for this dependency type
-   */
-  public N name();
-
-  /**
-   * Are two dependencies equal if you ignore the dependency name.
-   * @param o The thing to compare against ignoring name
-   * @return true iff the head and dependent are the same.
-   */
-  public boolean equalsIgnoreName(Object o);
-
-  /**
-   * Provide different printing options via a String keyword.
-   * The main recognized option currently is "xml".  Otherwise the
-   * default toString() is used.
-   * @param format A format string, either "xml" or you get the default
-   * @return A String representation of the dependency
-   */
-  public String toString(String format);
-
-  /**
-   * Provide a factory for this kind of dependency
-   * @return A DependencyFactory
-   */
-  public DependencyFactory dependencyFactory();
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/DependencyFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/DependencyFactory.java
deleted file mode 100644
index 79bef26..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/DependencyFactory.java
+++ /dev/null
@@ -1,17 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-
-
-/**
- * A factory for dependencies of a certain type.
- *
- * @author Christopher Manning
- */
-public interface DependencyFactory {
-
-  public Dependency newDependency(Label regent, Label dependent);
-
-  public Dependency newDependency(Label regent, Label dependent, Object name);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/DependencyTreeTransformer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/DependencyTreeTransformer.java
deleted file mode 100644
index ed916fa..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/DependencyTreeTransformer.java
+++ /dev/null
@@ -1,91 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.util.List;
-import java.util.regex.Pattern;
-
-import edu.stanford.nlp.trees.tregex.TregexPattern;
-import edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon;
-import edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern;
-import edu.stanford.nlp.util.Generics;
-import edu.stanford.nlp.util.Pair;
-
-/**
- * Transforms an English structure parse tree in order to get the dependencies right:
- *  -- put a ROOT node
- *  -- remove NONE nodes
- *  -- retain only NP-TMP and NP-ADV tags
- *
- * (Note [cdm]: A lot of this overlaps other existing functionality in trees.
- * Could aim to unify it.)
- *
- * @author mcdm
- */
-public class DependencyTreeTransformer implements TreeTransformer {
-
-
-  private static final Pattern NPTmpPattern = Pattern.compile("NP.*-TMP.*");
-  private static final Pattern NPAdvPattern = Pattern.compile("NP.*-ADV.*");
-  protected final TreebankLanguagePack tlp;
-
-  public DependencyTreeTransformer() {
-    tlp = new PennTreebankLanguagePack();
-  }
-
-  public Tree transformTree(Tree t) {
-    //deal with empty root
-    t.setValue(cleanUpRoot(t.value()));
-    //strips tags
-    stripTag(t);
-
-    // strip empty nodes
-    return stripEmptyNode(t);
-  }
-
-  protected static String cleanUpRoot(String label) {
-    if (label == null || label.equals("TOP")) {
-      return "ROOT";
-      // String constants are always interned
-    } else {
-      return label;
-    }
-  }
-
-  // only leaves NP-TMP and NP-ADV
-  protected String cleanUpLabel(String label) {
-    if (label == null) {
-      return "";  // This shouldn't really happen, but can happen if there are unlabeled nodes further down a tree, as apparently happens in at least the 20100730 era American National Corpus
-    }
-    boolean nptemp = NPTmpPattern.matcher(label).matches();
-    boolean npadv = NPAdvPattern.matcher(label).matches();
-    label = tlp.basicCategory(label);
-    if (nptemp) {
-      label = label + "-TMP";
-    } else if (npadv) {
-      label = label + "-ADV";
-    }
-    return label;
-  }
-
-  protected void stripTag(Tree t) {
-    if ( ! t.isLeaf()) {
-      String label = cleanUpLabel(t.value());
-      t.setValue(label);
-      for (Tree child : t.getChildrenAsList()) {
-        stripTag(child);
-      }
-    }
-  }
-
-  private static final TregexPattern matchPattern =
-    TregexPattern.safeCompile("-NONE-=none", true);
-
-  private static final TsurgeonPattern operation =
-    Tsurgeon.parseOperation("prune none");
-
-  protected static Tree stripEmptyNode(Tree t) {
-    List<Pair<TregexPattern, TsurgeonPattern>> ops = Generics.newArrayList();
-    ops.add(Generics.newPair(matchPattern, operation));
-    return Tsurgeon.processPatternsOnTree(ops, t);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/DiskTreebank.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/DiskTreebank.java
deleted file mode 100644
index bbff0e2..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/DiskTreebank.java
+++ /dev/null
@@ -1,295 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.*;
-import java.util.*;
-
-import edu.stanford.nlp.ling.HasIndex;
-
-/**
- * A <code>DiskTreebank</code> is a <code>Collection</code> of
- * <code>Tree</code>s.
- * A <code>DiskTreebank</code> object stores merely the information to
- * get at a corpus of trees that is stored on disk.  Access is usually
- * via apply()'ing a TreeVisitor to each Tree in the Treebank or by using
- * an iterator() to get an iteration over the Trees.
- * <p/>
- * If the root Label of the Tree objects built by the TreeReader
- * implements HasIndex, then the filename and index of the tree in
- * a corpus will be inserted as they are read in.
- *
- * @author Christopher Manning
- * @author Spence Green
- */
-public final class DiskTreebank extends Treebank {
-
-	private static boolean PRINT_FILENAMES = false;
-
-	private final List<File> filePaths = new ArrayList<File>();
-	private final List<FileFilter> fileFilters = new ArrayList<FileFilter>();
-
-	/*
-	 * Absolute path of the file currently being read.
-	 */
-	private String currentFilename; // = null;
-
-
-	/**
-	 * Create a new DiskTreebank. The trees are made with a <code>LabeledScoredTreeReaderFactory</code>.
-	 */
-	public DiskTreebank() {
-		this(new LabeledScoredTreeReaderFactory());
-	}
-
-	/**
-	 * Create a new treebank, set the encoding for file access.
-	 *
-	 * @param encoding The charset encoding to use for treebank file decoding
-	 */
-	public DiskTreebank(String encoding) {
-		this(new LabeledScoredTreeReaderFactory(), encoding);
-	}
-
-	/**
-	 * Create a new DiskTreebank.
-	 *
-	 * @param trf the factory class to be called to create a new
-	 *            <code>TreeReader</code>
-	 */
-	public DiskTreebank(TreeReaderFactory trf) {
-		super(trf);
-	}
-
-	/**
-	 * Create a new DiskTreebank.
-	 *
-	 * @param trf      the factory class to be called to create a new
-	 *                 <code>TreeReader</code>
-	 * @param encoding The charset encoding to use for treebank file decoding
-	 */
-	public DiskTreebank(TreeReaderFactory trf, String encoding) {
-		super(trf, encoding);
-	}
-
-	/**
-	 * Create a new Treebank. The trees are made with a <code>LabeledScoredTreeReaderFactory</code>.
-	 *
-	 * @param initialCapacity The initial size of the underlying Collection.
-	 *                        For a <code>DiskTreebank</code>, this parameter is ignored.
-	 */
-	public DiskTreebank(int initialCapacity) {
-		this(initialCapacity, new LabeledScoredTreeReaderFactory());
-	}
-
-	/**
-	 * Create a new Treebank.
-	 *
-	 * @param initialCapacity The initial size of the underlying Collection,
-	 *                        For a <code>DiskTreebank</code>, this parameter is ignored.
-	 * @param trf             the factory class to be called to create a new
-	 *                        <code>TreeReader</code>
-	 */
-	public DiskTreebank(int initialCapacity, TreeReaderFactory trf) {
-		this(trf);
-	}
-
-	/**
-	 * Empty a <code>Treebank</code>.
-	 */
-	@Override
-	public void clear() {
-		filePaths.clear();
-		fileFilters.clear();
-	}
-
-	/**
-	 * Load trees from given directory.  This version just records
-	 * the paths to be processed, and actually processes them at apply time.
-	 *
-	 * @param path file or directory to load from
-	 * @param filt a FilenameFilter of files to load
-	 */
-	@Override
-	public void loadPath(File path, FileFilter filt) {
-		if(path.exists()) {
-			filePaths.add(path);
-			fileFilters.add(filt);
-		} else {
-			System.err.printf("%s: File/path %s does not exist. Skipping.\n" , this.getClass().getName(), path.getPath());
-		}
-	}
-
-	/**
-	 * Applies the TreeVisitor to to all trees in the Treebank.
-	 *
-	 * @param tp A class that can process trees.
-	 */
-	@Override
-	public void apply(final TreeVisitor tp) {
-		for (Tree t : this) {
-			tp.visitTree(t);
-		}
-	}
-
-	/**
-	 * Returns the absolute path of the file currently being read.
-	 * 
-	 * @return
-	 */
-	public String getCurrentFilename() {
-		return currentFilename;
-	}
-
-	public List<File> getCurrentPaths() {
-		return Collections.unmodifiableList(filePaths);
-	}
-	
-	public void printFileNames() {
-		PRINT_FILENAMES = true;
-	}
-
-	private class DiskTreebankIterator implements Iterator<Tree> {
-
-		private TreeReader tr = null;
-		private Tree storedTree = null;  // null means iterator is exhausted (or not yet constructed)
-
-		//Create local copies so that calls to loadPath() in the parent class
-		//don't cause exceptions i.e., this iterator is valid over the state of DiskTreebank
-		//when the iterator is created.
-		private final List<File> localPathList;
-		private final List<FileFilter> localFilterList;
-		private int fileListPtr = 0;
-
-		private File currentFile;
-		private int curLineId = 1;
-
-		private List<File> curFileList;
-		private Iterator<File> curPathIter;
-
-		private DiskTreebankIterator() {
-			localPathList = new ArrayList<File>(filePaths);
-			localFilterList = new ArrayList<FileFilter>(fileFilters);
-
-			if(primeNextPath() && primeNextFile())
-				storedTree = primeNextTree();
-		}
-
-		//In the case of a recursive file filter, performs a BFS through the directory structure.
-		private boolean primeNextPath() {
-			while(fileListPtr < localPathList.size() && fileListPtr < localFilterList.size()) {
-				final File nextPath = localPathList.get(fileListPtr);
-				final FileFilter nextFilter = localFilterList.get(fileListPtr);
-				fileListPtr++;
-
-				final List<File> pathListing = (nextPath.isDirectory()) ? 
-						Arrays.asList(nextPath.listFiles(nextFilter)) : Collections.singletonList(nextPath);
-
-				if(pathListing != null) {
-					if(pathListing.size() > 1) Collections.sort(pathListing);
-
-					curFileList = new ArrayList<File>();
-					for(File path : pathListing) {
-						if(path.isDirectory()) {
-							localPathList.add(path);
-							localFilterList.add(nextFilter);
-						}
-						else {
-							curFileList.add(path);
-						}
-					}
-					
-					if(curFileList.size() != 0) {
-						curPathIter = curFileList.iterator();
-						return true;
-					}
-				}
-			} 
-
-			return false;
-		}
-
-		private boolean primeNextFile() {
-			try {
-				if(curPathIter.hasNext() || (primeNextPath() && curPathIter.hasNext())) {
-					currentFile = curPathIter.next();
-					currentFilename = currentFile.getAbsolutePath();
-					if(PRINT_FILENAMES) System.err.println(currentFile);
-
-					if(tr != null) tr.close();
-					tr = treeReaderFactory().newTreeReader(new BufferedReader(new InputStreamReader(new FileInputStream(currentFile), encoding())));
-					curLineId = 1;
-
-					return true;
-				}
-
-			} catch (UnsupportedEncodingException e) {
-				System.err.printf("%s: Filesystem does not support encoding:\n%s\n", this.getClass().getName(), e.toString());
-                                throw new RuntimeException(e);
-			} catch (FileNotFoundException e) {
-				System.err.printf("%s: File does not exist:\n%s\n", this.getClass().getName(),e.toString());
-                                throw new RuntimeException(e);
-			} catch (IOException e) {
-				System.err.printf("%s: Unable to close open tree reader:\n%s\n", this.getClass().getName(),currentFile.getPath());
-                                throw new RuntimeException(e);
-			}
-                        return false;
-		}
-
-		private Tree primeNextTree() {
-			Tree t = null;
-
-			try {
-				t = tr.readTree();
-				if(t == null && primeNextFile()) //Current file is exhausted
-					t = tr.readTree();
-
-				//Associate this tree with a file and line number
-				if(t != null && t.label() != null && t.label() instanceof HasIndex) {
-					HasIndex lab = (HasIndex) t.label();
-					lab.setSentIndex(curLineId++);
-					lab.setDocID(currentFile.getName());
-				}
-
-			} catch (IOException e) {
-				System.err.printf("%s: Error reading from file %s:\n%s\n", this.getClass().getName(), currentFile.getPath(), e.toString());
-                                throw new RuntimeException(e);
-			}
-
-			return t;
-		}
-
-		/**
-		 * Returns true if the iteration has more elements.
-		 */
-		public boolean hasNext() { return storedTree != null; }
-
-		/**
-		 * Returns the next element in the iteration.
-		 */
-		public Tree next() {
-			if(storedTree == null)
-				throw new NoSuchElementException();
-
-			Tree ret = storedTree;
-			storedTree = primeNextTree();
-			return ret;
-		}
-
-		/**
-		 * Not supported
-		 */
-		public void remove() { throw new UnsupportedOperationException(); }
-	}
-
-
-	/**
-	 * Return an Iterator over Trees in the Treebank.  This is implemented
-	 * by building per-file MemoryTreebanks for the files in the
-	 * DiskTreebank.  As such, it isn't as efficient as using
-	 * <code>apply()</code>.
-	 */
-	@Override
-	public Iterator<Tree> iterator() {
-		return new DiskTreebankIterator();
-	}
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/EnglishGrammaticalRelations.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/EnglishGrammaticalRelations.java
deleted file mode 100644
index 7ab0235..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/EnglishGrammaticalRelations.java
+++ /dev/null
@@ -1,1712 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.trees.GrammaticalRelation.GrammaticalRelationAnnotation;
-import edu.stanford.nlp.trees.GrammaticalRelation.Language;
-import edu.stanford.nlp.util.Generics;
-
-import java.util.*;
-import java.util.concurrent.locks.Lock;
-import java.util.concurrent.locks.ReadWriteLock;
-import java.util.concurrent.locks.ReentrantReadWriteLock;
-
-import static edu.stanford.nlp.trees.GrammaticalRelation.*;
-
-
-/**
- * <code>EnglishGrammaticalRelations</code> is a
- * set of {@link GrammaticalRelation} objects for the English language.
- * These relations are commonly called Stanford Dependencies (SD).
- * <p/>
- * Grammatical relations can either be shown in their basic form, where each
- * input token receives a relation, or "collapsed" which does certain normalizations
- * which group words or turns them into relations. See
- * {@link EnglishGrammaticalStructure}.  What is presented here mainly
- * shows the basic form, though there is some mixture. The "collapsed" grammatical
- * relations primarily differ as follows:
- * <ul>
- * <li>Some multiword conjunctions and prepositions are treated as single
- * words, and then processed as below.</li>
- * <li>Prepositions do not appear as words but are turned into new "prep" or "prepc"
- * grammatical relations, one for each preposition.</li>
- * <li>Conjunctions do not appear as words but are turned into new "conj"
- * grammatical relations, one for each conjunction.</li>
- * <li>The possessive "'s" is deleted, leaving just the relation between the
- * possessor and possessum.</li>
- * <li>Agents of passive sentences are recognized and marked as agent and not as prep_by.</li>
- * </ul>
- * <p/>
- * This set of English grammatical relations is not intended to be
- * exhaustive or immutable.  It's just where we're at now.
- * <p/>
- * <p/>
- * See {@link GrammaticalRelation} for details of fields and matching.
- * <p/>
- * <p/>
- * If using LexicalizedParser, it should be run with the
- * <code>-retainTmpSubcategories</code> option and one of the
- * <code>-splitTMP</code> options (e.g., <code>-splitTMP 1</code>) in order to
- * get the temporal NP dependencies maximally right!
- * <p/>
- * <i>Implementation note: </i> To add a new grammatical relation:
- * <ul>
- * <li> Governor nodes of the grammatical relations should be the lowest ones.</li>
- * <li> Check the semantic head rules in SemanticHeadFinder and
- * ModCollinsHeadFinder, both in the trees package.</li>
- * <li> Create and define the GrammaticalRelation similarly to the others.</li>
- * <li> Add it to the <code>values</code> array at the end of the file.</li>
- * </ul>
- *
- * @author Bill MacCartney
- * @author Marie-Catherine de Marneffe
- * @author Christopher Manning
- * @author Galen Andrew (refactoring English-specific stuff)
- * @see GrammaticalStructure
- * @see GrammaticalRelation
- * @see EnglishGrammaticalStructure
- */
-
-public class EnglishGrammaticalRelations {
-
-  //todo: Things still to fix: comparatives, in order to clauses, automatic Vadas-like NP structure
-
-  /** This class is just a holder for static classes
-   *  that act a bit like an enum.
-   */
-  private EnglishGrammaticalRelations() {}
-
-  private static final String timeWordRegex =
-    "/^(?i:Mondays?|Tuesdays?|Wednesdays?|Thursdays?|Fridays?|Saturdays?|Sundays?|years?|months?|weeks?|days?|mornings?|evenings?|nights?|January|Jan\\.|February|Feb\\.|March|Mar\\.|April|Apr\\.|May|June|July|August|Aug\\.|September|Sept\\.|October|Oct\\.|November|Nov\\.|December|Dec\\.|today|yesterday|tomorrow|spring|summer|fall|autumn|winter)$/";
-  private static final String timeWordLotRegex =
-    "/^(?i:Mondays?|Tuesdays?|Wednesdays?|Thursdays?|Fridays?|Saturdays?|Sundays?|years?|months?|weeks?|days?|mornings?|evenings?|nights?|January|Jan\\.|February|Feb\\.|March|Mar\\.|April|Apr\\.|May|June|July|August|Aug\\.|September|Sept\\.|October|Oct\\.|November|Nov\\.|December|Dec\\.|today|yesterday|tomorrow|spring|summer|fall|autumn|winter|lot)$/";
-  private static final String copularWordRegex =
-    "/^(?i:am|is|are|be|being|'s|'re|'m|was|were|been|s|ai|seem|seems|seemed|seeming|appear|appears|appeared|stay|stays|stayed|remain|remains|remained|resemble|resembles|resembled|resembling|become|becomes|became|becoming)$/";
-  private static final String passiveAuxWordRegex =
-    "/^(?i:am|is|are|be|being|'s|'re|'m|was|were|been|s|ai|seem|seems|seemed|seeming|appear|appears|appeared|become|becomes|became|becoming|get|got|getting|gets|gotten|remains|remained|remain)$/";
-  private static final String beAuxiliaryRegex =
-    "/^(?i:am|is|are|be|being|'s|'re|'m|was|were|been|s|ai)$/";
-  private static final String haveRegex =
-    "/^(?i:have|had|has|having)$/";
-  private static final String stopKeepRegex =
-    "/^(?i:stop|stops|stopped|stopping|keep|keeps|kept|keeping)$/";
-
-  /**
-   * The "predicate" grammatical relation.  The predicate of a
-   * clause is the main VP of that clause; the predicate of a
-   * subject is the predicate of the clause to which the subject
-   * belongs.<p>
-   * <p/>
-   * Example: <br/>
-   * "Reagan died" &rarr; <code>pred</code>(Reagan, died)
-   */
-  public static final GrammaticalRelation PREDICATE =
-    new GrammaticalRelation(Language.English, "pred", "predicate",
-        PredicateGRAnnotation.class, DEPENDENT, "S|SINV",
-        new String[] {
-          "S|SINV <# VP=target"
-        });
-  public static class PredicateGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "auxiliary" grammatical relation.  An auxiliary of a clause is a
-   * non-main verb of the clause.<p>
-   * <p/>
-   * Example: <br/>
-   * "Reagan has died" &rarr; <code>aux</code>(died, has)
-   */
-  public static final GrammaticalRelation AUX_MODIFIER =
-    new GrammaticalRelation(Language.English, "aux", "auxiliary",
-        AuxModifierGRAnnotation.class, DEPENDENT, "VP|SQ|SINV|CONJP",
-        new String[] {
-          "VP < VP < /^(?:TO|MD|VB.*|AUXG?|POS)$/=target",
-          "SQ|SINV < (/^(?:VB|MD|AUX)/=target $++ /^(?:VP|ADJP)/)",
-          "CONJP < TO=target < VB", // (CONJP not to mention)
-          // add handling of tricky VP fronting cases...
-          "SINV < (VP=target < (/^(?:VB|AUX|POS)/ < " + beAuxiliaryRegex + ") $-- (VP < VBG))"
-        });
-  public static class AuxModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "passive auxiliary" grammatical relation.  A passive auxiliary of a
-   * clause is a
-   * non-main verb of the clause which contains the passive information.
-   * <p/>
-   * Example: <br/>
-   * "Kennedy has been killed" &rarr; <code>auxpass</code>(killed, been)
-   */
-  public static final GrammaticalRelation AUX_PASSIVE_MODIFIER =
-    new GrammaticalRelation(Language.English, "auxpass", "passive auxiliary",
-        AuxPassiveGRAnnotation.class, AUX_MODIFIER, "VP|SQ|SINV",
-        new String[] {
-          "VP < (/^(?:VB|AUX|POS)/=target < " + passiveAuxWordRegex + " ) < (VP|ADJP [ < VBN|VBD | < (VP|ADJP < VBN|VBD) < CC ] )",
-          "SQ|SINV < (/^(?:VB|AUX|POS)/=target < " + beAuxiliaryRegex + " $++ (VP < /^VB[DN]$/))",
-          // add handling of tricky VP fronting cases...
-          "SINV < (VP=target < (/^(?:VB|AUX|POS)/ < " + beAuxiliaryRegex + ") $-- (VP < /^VB[DN]$/))",
-          "SINV < (VP=target < (VP < (/^(?:VB|AUX|POS)/ < " + beAuxiliaryRegex + ")) $-- (VP < /^VB[DN]$/))",
-        });
-  public static class AuxPassiveGRAnnotation extends GrammaticalRelationAnnotation { }
-
-  /**
-   * The "copula" grammatical relation.  A copula is the relation between
-   * the complement of a copular verb and the copular verb.<p>
-   * <p/>
-   * Examples: <br/>
-   * "Bill is big" &rarr; <code>cop</code>(big, is) <br/>
-   * "Bill is an honest man" &rarr; <code>cop</code>(man, is)
-   */
-  public static final GrammaticalRelation COPULA =
-    new GrammaticalRelation(Language.English, "cop", "copula",
-        CopulaGRAnnotation.class, AUX_MODIFIER, "VP|SQ|SINV",
-        new String[] {
-          // disallow things like NP-TMP in this pattern, so don't use @NP
-          "VP < (/^(?:VB|AUX)/=target < " + copularWordRegex + " [ $++ (/^(?:ADJP|NP$|WHNP$)/ !< VBN|VBD) | $++ (S <: (ADJP < JJ)) ] )",
-          "SQ|SINV < (/^(?:VB|AUX)/=target < " + copularWordRegex + " [ $++ (ADJP !< VBN|VBD) | $++ (NP $++ NP) | $++ (S <: (ADJP < JJ)) ] )",
-        });
-
-  public static class CopulaGRAnnotation extends GrammaticalRelationAnnotation {
-  }
-
-
-  /**
-   * The "conjunct" grammatical relation.  A conjunct is the relation between
-   * two elements connected by a conjunction word.  We treat conjunctions
-   * asymmetrically: The head of the relation is the first conjunct and other
-   * conjunctions depend on it via the <i>conj</i> relation.<p>
-   * <p/>
-   * Example: <br/>
-   * "Bill is big and honest" &rarr; <code>conj</code>(big, honest)
-   * <p/>
-   * <i>Note:</i>Modified in 2010 to exclude the case of a CC/CONJP first in its phrase: it has to conjoin things.
-   */
-  public static final GrammaticalRelation CONJUNCT =
-    new GrammaticalRelation(Language.English, "conj", "conjunct",
-        ConjunctGRAnnotation.class, DEPENDENT, "VP|(?:WH)?NP(?:-TMP|-ADV)?|ADJP|PP|QP|ADVP|UCP|S|NX|SBAR|SBARQ|SINV|SQ|JJP|NML",
-        new String[] { // remember conjunction can be left or right headed....
-          // this is more ugly, but the first 3 patterns are now duplicated and for clausal things, that daughter to the left of the CC/CONJP can't be a PP or RB or ADVP either
-          // non-parenthetical or comma in suitable phrase with conjunction to left
-          "VP|S|SBAR|SBARQ|SINV|SQ < (CC|CONJP $-- !/^(?:``|-LRB-|PRN|PP|ADVP|RB)/ $+ !/^(?:PRN|``|''|-[LR]RB-|,|:|\\.)$/=target)",
-          // non-parenthetical or comma in suitable phrase with conj then adverb to left
-          "VP|S|SBAR|SBARQ|SINV|SQ < (CC|CONJP $-- !/^(?:``|-LRB-|PRN|PP|ADVP|RB)/ $+ (ADVP $+ !/^(?:PRN|``|''|-[LR]RB-|,|:|\\.)$/=target))",
-          // content phrase to the right of a comma or a parenthetical
-          "VP|S|SBAR|SBARQ|SINV|SQ < (CC|CONJP $-- !/^(?:``|-LRB-|PRN|PP|ADVP|RB)/) < (/^(?:PRN|``|''|-[LR]RB-|,|:|\\.)$/ $+ /^S$|^(?:A|N|V|PP|PRP|J|W|R)/=target)",
-
-          // non-parenthetical or comma in suitable phrase with conjunction to left
-          "/^(?:ADJP|JJP|PP|QP|(?:WH)?NP(?:-TMP|-ADV)?|ADVP|UCP|NX|NML)$/ < (CC|CONJP $-- !/^(?:``|-LRB-|PRN)$/ $+ !/^(?:PRN|``|''|-[LR]RB-|,|:|\\.)$/=target)",
-          // non-parenthetical or comma in suitable phrase with conj then adverb to left
-          "/^(?:ADJP|PP|(?:WH)?NP(?:-TMP|-ADV)?|ADVP|UCP|NX|NML)$/ < (CC|CONJP $-- !/^(?:``|-LRB-|PRN)$/ $+ (ADVP $+ !/^(?:PRN|``|''|-[LR]RB-|,|:|\\.)$/=target))",
-          // content phrase to the right of a comma or a parenthetical
-          "/^(?:ADJP|PP|(?:WH)?NP(?:-TMP|-ADV)?|ADVP|UCP|NX|NML)$/ < (CC|CONJP $-- !/^(?:``|-LRB-|PRN)$/) < (/^(?:PRN|``|''|-[LR]RB-|,|:|\\.)$/ $+ /^S$|^(?:A|N|V|PP|PRP|J|W|R)/=target)",
-
-          // content phrase to the left of a comma for at least NX
-          "NX|NML < (CC|CONJP $- __) < (/^,$/ $- /^(?:A|N|V|PP|PRP|J|W|R|S)/=target)",
-          // to take the conjunct in a preconjunct structure "either X or Y"
-          "/^(?:VP|S|SBAR|SBARQ|ADJP|PP|QP|(?:WH)?NP(?:-TMP|-ADV)?|ADVP|UCP|NX|NML)$/ < (CC $++ (CC|CONJP $+ !/^(?:PRN|``|''|-[LR]RB-|,|:|\\.)$/=target))",
-        });
-  public static class ConjunctGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "coordination" grammatical relation.  A coordination is the relation
-   * between an element and a conjunction.
-   * <p/>
-   * Example: <br/>
-   * "Bill is big and honest." &rarr; <code>cc</code>(big, and)
-   */
-  public static final GrammaticalRelation COORDINATION =
-    new GrammaticalRelation(Language.English, "cc", "coordination",
-        CoordinationGRAnnotation.class, DEPENDENT, "S|VP|(?:WH)?NP(?:-TMP|-ADV)?|QP|ADJP|PP|ADVP|UCP|NX|SBAR|SBARQ|SINV|SQ|JJP|NML|CONJP",
-        new String[] {
-          "/^(?:S|VP|(?:WH)?NP(?:-TMP|-ADV)?|QP|ADJP|PP|ADVP|UCP|NX|SBAR|SBARQ|SINV|SQ|JJP|NML|CONJP)/ [ < (CC=target !< /^(?i:either|neither|both)$/) | < (CONJP=target !< (RB < /^(?i:not)$/ $+ (RB|JJ < /^(?i:only|just|merely)$/))) ]"
-        });
-  public static class CoordinationGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "punctuation" grammatical relation.  This is used for any piece of
-   * punctuation in a clause, if punctuation is being retained in the
-   * typed dependencies.
-   * <p/>
-   * Example: <br/>
-   * "Go home!" &rarr; <code>punct</code>(Go, !)
-   */
-  public static final GrammaticalRelation PUNCTUATION =
-    new GrammaticalRelation(Language.English, "punct", "punctuation",
-        PunctuationGRAnnotation.class, DEPENDENT, ".*",
-        new String[] {
-          "__ < /^(?:\\.|:|,|''|``|-LRB-|-RRB-)$/=target"
-        });
-  public static class PunctuationGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "argument" grammatical relation.  An argument of a VP is a
-   * subject or complement of that VP; an argument of a clause is
-   * an argument of the VP which is the predicate of that
-   * clause.<p>
-   * <p/>
-   * Example: <br/>
-   * "Clinton defeated Dole" &rarr; <code>arg</code>(defeated, Clinton), <code>arg</code>(defeated, Dole)
-   */
-  public static final GrammaticalRelation ARGUMENT =
-    new GrammaticalRelation(Language.English, "arg", "argument",
-        ArgumentGRAnnotation.class, DEPENDENT);
-  public static class ArgumentGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "subject" grammatical relation.  The subject of a VP is
-   * the noun or clause that performs or experiences the VP; the
-   * subject of a clause is the subject of the VP which is the
-   * predicate of that clause.<p>
-   * <p/>
-   * Examples: <br/>
-   * "Clinton defeated Dole" &rarr; <code>subj</code>(defeated, Clinton) <br/>
-   * "What she said is untrue" &rarr; <code>subj</code>(is, What she said)
-   */
-  public static final GrammaticalRelation SUBJECT =
-    new GrammaticalRelation(Language.English, "subj", "subject",
-        SubjectGRAnnotation.class, ARGUMENT);
-  public static class SubjectGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "nominal subject" grammatical relation.  A nominal subject is
-   * a subject which is an noun phrase.<p>
-   * <p/>
-   * Example: <br/>
-   * "Clinton defeated Dole" &rarr; <code>nsubj</code>(defeated, Clinton)
-   */
-  public static final GrammaticalRelation NOMINAL_SUBJECT =
-    new GrammaticalRelation(Language.English, "nsubj", "nominal subject",
-        NominalSubjectGRAnnotation.class, SUBJECT, "S|SQ|SBARQ|SINV|SBAR|PRN",
-        new String[] {
-          "S < ((NP|WHNP=target !< EX !< (/^NN/ < (" + timeWordRegex + "))) $++ VP)",
-          "S < ( NP=target < (/^NN/ < " + timeWordRegex + ") !$++ NP $++VP)",
-          "SQ|PRN < (NP=target !< EX $++ VP)",
-          "SQ < ((NP=target !< EX) $- /^(?:VB|AUX)/ !$++ VP)",
-          "SQ < ((NP=target !< EX) $- (RB $- /^(?:VB|AUX)/) ![$++ VP])",
-          "SBARQ < WHNP=target < (SQ < (VP ![$-- NP]))",
-          "SBARQ < (SQ=target < /^(?:VB|AUX)/ !< VP)",
-          // matches subj in SINV
-          "SINV < (NP|WHNP=target [ $- VP|VBZ|VBD|VBP|VB|MD|AUX | $- (@RB|ADVP $- VP|VBZ|VBD|VBP|VB|MD|AUX) | !$- __ !$ @NP] )",
-          //matches subj in xcomp like "He considered him a friend"
-          "S < (NP=target $+ NP|ADJP) > VP",
-          // matches subj in relative clauses
-          "SBAR < WHNP=target [ < (S < (VP !$-- NP) !< SBAR) | < (VP !$-- NP) !< S ]",  // second disjunct matches errors where there is no S under SBAR and otherwise does no harm
-          // matches subj in relative clauses
-          "SBAR !< WHNP < (S !< (NP $++ VP)) > (VP > (S $- WHNP=target))",
-          // matches subj in existential "there" SQ
-          "SQ < ((NP < EX) $++ NP=target)",
-          // matches subj in existential "there" S
-          "S < (NP < EX) <+(VP) (VP < NP=target)"
-        });
-  public static class NominalSubjectGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "nominal passive subject" grammatical relation.  A nominal passive
-   * subject is a subject of a passive which is an noun phrase.<p>
-   * <p/>
-   * Example: <br/>
-   * "Dole was defeated by Clinton" &rarr; <code>nsubjpass</code>(defeated, Dole)
-   * <p>
-   * This pattern recognizes basic (non-coordinated) examples.  The coordinated
-   * examples are currently handled by correctDependencies() in
-   * EnglishGrammaticalStructure.  This seemed more accurate than any tregex
-   * expression we could come up with.
-   */
-  public static final GrammaticalRelation NOMINAL_PASSIVE_SUBJECT =
-    new GrammaticalRelation(Language.English, "nsubjpass", "nominal passive subject",
-        NominalPassiveSubjectGRAnnotation.class, NOMINAL_SUBJECT, "S|SQ",
-        new String[] {
-          "S|SQ < (/^(?:WH)?NP$/=target !< EX) < (VP < (/^(?:VB|AUX)/ < " + passiveAuxWordRegex + ")  < (VP < VBN|VBD))",
-        });
-  public static class NominalPassiveSubjectGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "clausal subject" grammatical relation.  A clausal subject is
-   * a subject which is a clause.<p>
-   * <p/>
-   * Examples: (subject is "what she said" in both examples) <br/>
-   * "What she said makes sense" &rarr; <code>csubj</code>(makes, said) <br/>
-   * "What she said is untrue" &rarr; <code>csubj</code>(untrue, said)
-   */
-  public static final GrammaticalRelation CLAUSAL_SUBJECT =
-    new GrammaticalRelation(Language.English, "csubj", "clausal subject",
-        ClausalSubjectGRAnnotation.class, SUBJECT, "S",
-        new String[] {
-          "S < (SBAR|S=target !$+ /^,$/ $++ (VP !$-- NP))"
-        });
-  public static class ClausalSubjectGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-
-  /**
-   * The "clausal passive subject" grammatical relation.  A clausal passive subject is
-   * a subject of a passive verb which is a clause.<p>
-   * <p/>
-   * Example: (subject is "that she lied") <br/>
-   * "That she lied was suspected by everyone" &rarr; <code>csubjpass</code>(suspected, lied)
-   */
-  public static final GrammaticalRelation CLAUSAL_PASSIVE_SUBJECT =
-    new GrammaticalRelation(Language.English, "csubjpass", "clausal subject",
-        ClausalPassiveSubjectGRAnnotation.class, CLAUSAL_SUBJECT, "S",
-        new String[] {
-          "S < (SBAR|S=target !$+ /^,$/ $++ (VP < (VP < VBN|VBD) < (/^(?:VB|AUXG?)/ < " + passiveAuxWordRegex + ") !$-- NP))",
-          "S < (SBAR|S=target !$+ /^,$/ $++ (VP <+(VP) (VP < VBN|VBD > (VP < (/^(?:VB|AUX)/ < " + passiveAuxWordRegex + "))) !$-- NP))"
-        });
-  public static class ClausalPassiveSubjectGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-
-  /**
-   * The "complement" grammatical relation.  A complement of a VP
-   * is any object (direct or indirect) of that VP, or a clause or
-   * adjectival phrase which functions like an object; a complement
-   * of a clause is an complement of the VP which is the predicate
-   * of that clause.<p>
-   * <p/>
-   * Examples: <br/>
-   * "She gave me a raise" &rarr;
-   * <code>comp</code>(gave, me),
-   * <code>comp</code>(gave, a raise) <br/>
-   * "I like to swim" &rarr;
-   * <code>comp</code>(like, to swim)
-   */
-  public static final GrammaticalRelation COMPLEMENT =
-    new GrammaticalRelation(Language.English, "comp", "complement",
-        ComplementGRAnnotation.class, ARGUMENT);
-  public static class ComplementGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "object" grammatical relation.  An object of a VP
-   * is any direct object or indirect object of that VP; an object
-   * of a clause is an object of the VP which is the predicate
-   * of that clause.<p>
-   * <p/>
-   * Examples: <br/>
-   * "She gave me a raise" &rarr;
-   * <code>obj</code>(gave, me),
-   * <code>obj</code>(gave, raise)
-   */
-  public static final GrammaticalRelation OBJECT =
-    new GrammaticalRelation(Language.English, "obj", "object",
-        ObjectGRAnnotation.class, COMPLEMENT);
-  public static class ObjectGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "direct object" grammatical relation.  The direct object
-   * of a VP is the noun phrase which is the (accusative) object of
-   * the verb; the direct object of a clause is the direct object of the VP
-   * which is the predicate of that clause.<p>
-   * <p/>
-   * Example: <br/>
-   * "She gave me a raise" &rarr;
-   * <code>dobj</code>(gave, raise)
-   */
-  public static final GrammaticalRelation DIRECT_OBJECT =
-    new GrammaticalRelation(Language.English, "dobj", "direct object",
-        DirectObjectGRAnnotation.class, OBJECT, "SBARQ|VP|SBAR",
-        new String[] {
-          // case with an iobj before
-          "VP < (NP $+ (/^(?:NP|WHNP)$/=target !< (/^NN/ < " + timeWordLotRegex + "))) !<(/^(?:VB|AUX)/ < " + copularWordRegex + ")",  // this time one also included "lot"
-          // match "give it next week"
-          "VP < (NP < (NP $+ (/^(NP|WHNP)$/=target !< (/^NN/ < " + timeWordLotRegex + "))))!< (/^(?:VB|AUX)/ < " + copularWordRegex + ")",  // this time one also included "lot"
-          // basic direct object cases
-          "VP !<(/^(?:VB|AUX)/ < " + copularWordRegex + ") < (/^(?:NP|WHNP)$/=target [ [ !< (/^NN/ < " + timeWordRegex + ") !$+ NP ] | $+ NP-TMP | $+ (NP < (/^NN/ < " + timeWordRegex + ")) ] )",
-          // cdm Jul 2010: No longer require WHNP as first child of SBARQ: often not because of adverbials, quotes, etc., and removing restriction does no harm
-          "SBARQ < (WHNP=target !< WRB !< (/^NN/ < " + timeWordRegex + ")) <+(SQ|SINV|S|VP) (VP !< NP|TO !< (S < (VP < TO)) !< (/^(?:VB|AUX)/ < " + copularWordRegex + " $++ (VP < VBN|VBD)) !<- PRT !<- (PP <: IN) $-- (NP !< /^-NONE-$/))",  // this pattern used to assume no empty NPs. Corrected.  If you adjust this pattern, also adjust the corresponding one for attr!
-          // matches direct object in relative clauses "I saw the book that you bought"
-          "SBAR < (WHNP=target !< WRB) < (S < NP < (VP !< SBAR !<+(VP) (PP <- IN) !< (S < (VP < TO))))",
-
-          // matches direct object in relative clauses "I saw the book that you said you bought"
-          "SBAR !< WHNP|WHADVP < (S < (@NP $++ (VP !$++ NP))) > (VP > (S < NP $- WHNP=target))",
-
-          // matches direct object for long dependencies in relative clause without explicit relative pronouns
-          "SBAR !< (WHPP|WHNP|WHADVP) < (S < (@NP $+ (VP !< (/^(?:VB|AUX)/ < " + copularWordRegex + " !$+ VP)  !<+(VP) (/^(?:VB|AUX)/ < " + copularWordRegex + " $+ (VP < VBN|VBD)) !<+(VP) NP !< SBAR !<+(VP) (PP <- IN)))) !$-- CC $-- NP > NP=target",
-          "SBAR !< (WHPP|WHNP|WHADVP) < (S < (@NP $+ (ADVP $+ (VP !< (/^(?:VB|AUX)/ < " + copularWordRegex + " !$+ VP) !<+(VP) (/^(?:VB|AUX)/ < " + copularWordRegex + " $+ (VP < VBN|VBD)) !<+(VP) NP !< SBAR !<+(VP) (PP <- IN))))) !$-- CC $-- NP > NP=target"
-
-          // we now don't match "VBG > PP $+ NP=target", since it seems better to CM to regard these quasi preposition uses (like "including soya") as prepositions rather than verbs with objects -- that's certainly what the phrase structure at least suggests in the PTB.  They're now matched as pobj
-        });
-  public static class DirectObjectGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "indirect object" grammatical relation.  The indirect
-   * object of a VP is the noun phrase which is the (dative) object
-   * of the verb; the indirect object of a clause is the indirect
-   * object of the VP which is the predicate of that clause.
-   * <p/>
-   * Example:  <br/>
-   * "She gave me a raise" &rarr;
-   * <code>iobj</code>(gave, me)
-   */
-  public static final GrammaticalRelation INDIRECT_OBJECT =
-    new GrammaticalRelation(Language.English, "iobj", "indirect object",
-        IndirectObjectGRAnnotation.class, OBJECT, "VP",
-        new String[] {
-          "VP < (NP=target !< /\\$/ !< (/^NN/ < " + timeWordRegex + ") $+ (NP !< (/^NN/ < " + timeWordRegex + ")))",
-          // this next one was meant to fix common mistakes of our parser, but is perhaps too dangerous to keep
-          "VP < (NP=target < (NP !< /\\$/ $++ (NP !< (/^NN/ < " + timeWordLotRegex + ")) !$ CC|CONJP !$ /^,$/ !$++ /^:$/))",
-        });
-  public static class IndirectObjectGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "prepositional object" grammatical relation.  The object of a
-   * preposition is the head of a noun phrase following the preposition, or
-   * the adverbs "here" and "there".
-   * (The preposition in turn may be modifying a noun, verb, etc.)
-   * We here define cases of VBG quasi-prepositions like "including",
-   * "concerning", etc. as instances of pobj (unlike the Penn Treebank).
-   * <p/>
-   * Example: <br/>
-   * "I sat on the chair" &rarr;
-   * <code>pobj</code>(on, chair)
-   * <p/>
-   * (The preposition can be called a FW for pace, versus, etc.  It can also
-   * be called a CC - but we don't currently handle that and would need to
-   * distinguish from conjoined PPs. Jan 2010 update: We now insist that the
-   * NP must follow the preposition. This prevents a preceding NP measure
-   * phrase being matched as a pobj.  We do allow a preposition tagged RB
-   * followed by an NP pobj, as happens in the Penn Treebank for adverbial uses
-   * of PP like "up 19%")
-   */
-  public static final GrammaticalRelation PREPOSITIONAL_OBJECT =
-    new GrammaticalRelation(Language.English, "pobj", "prepositional object",
-        PrepositionalObjectGRAnnotation.class, OBJECT, "PP(?:-TMP)?|WHPP|PRT|ADVP|WHADVP|XS",
-        new String[] {
-          "/^(?:PP(?:-TMP)?|(?:WH)?(?:PP|ADVP))$/ < (IN|VBG|TO|FW|RB|RBR $++ (/^(?:WH)?(?:NP|ADJP)(?:-TMP|-ADV)?$/=target !$- @NP))",
-          // We allow ADVP with NP objects for cases like (ADVP earlier this year)
-          "/^PP(?:-TMP)?$/ < (/^(?:IN|VBG|TO)$/ $+ (ADVP=target [ < (RB < /^(?i:here|there)$/) | < (ADVP < /^NP(?:-TMP)?$/) ] ))",
-                // second disjunct is weird ADVP, only matches 1 tree in 2-21
-          // to deal with preposition stranding in questions (e.g., "Which city do you live in?") -- the preposition is sometimes treated as a particle by the parser (works well but doesn't preserve the tree structure!)
-          "PRT >- (VP !< (S < (VP < TO)) >+(SQ|SINV|S|VP) (SBARQ <, (WHNP=target !< WRB)) $-- (NP !< /^-NONE-$/))",
-          "(PP <: IN|TO) >- (VP !< (S < (VP < TO)) >+(SQ|SINV|S|VP) (SBARQ <, (WHNP=target !< WRB)) $-- (NP !< /^-NONE-$/))",
-          "(PP <: IN|TO) $- (NP $-- (VBZ|VBD) !$++ VP) >+(SQ) (SBARQ <, (WHNP=target !< WRB)) $-- (NP !< /^-NONE-$/)",
-
-         // to deal with preposition stranding in relative clause (works well but doesn't preserve the tree structure!)
-         "(PP <- IN|TO) >+(@VP|S|SINV|SBAR) (SBAR !< (WHPP|WHNP) < (S < (NP $+ (VP !<(/^(?:VB|AUX)/ < " + copularWordRegex + " !$+ VP) !<+(VP) NP !< SBAR ))) $-- NP > NP=target)",
-         "XS|ADVP < (IN < /^(?i:at)$/) < JJS|DT=target", // at least, at most, at best, at worst, at all
-         "PP < (CC < less) < NP"
-        });
-  public static class PrepositionalObjectGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "prepositional complement" grammatical relation.
-   * This is used when the complement of a preposition is a clause or
-   * an adverbial or prepositional phrase.
-   * The prepositional complement of
-   * a preposition is the head of the sentence following the preposition,
-   * or the preposition head of the PP.
-   * <p/>
-   * Examples: <br/>
-   * "We have no useful information on whether users are at risk" &arr;
-   * <code>pcomp</code>(on, are) <br/>
-   * "They heard about you missing classes." &arr;
-   * <code>pcomp</code>(about, missing) <br/>
-   * It is warmer in Greece than in Italy &arr;
-   * <code>pcomp</code>(than, in)
-   */
-  public static final GrammaticalRelation PREPOSITIONAL_COMPLEMENT =
-    new GrammaticalRelation(Language.English, "pcomp", "prepositional complement",
-        PrepositionalComplementGRAnnotation.class, COMPLEMENT, "PP(?:-TMP)?",
-        new String[] {
-          "@PP < (IN|VBG|VBN|TO $+ @SBAR|S|PP|ADVP=target)", // no intervening NP; VBN is for "compared with"
-          "@PP !< IN|TO < (SBAR=target <, (IN $+ S))",
-        });
-  public static class PrepositionalComplementGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "attributive" grammatical relation. The attributive is the complement of a
-   * verb such as "to be, to seem, to appear".
-   * <p>
-   * These mainly occur in questions.  Arguably they shouldn't and we should treat the question
-   * WHNP and WHADJP as predicates (as we do for ADJP and NP complements (NP-PRD and ADJP-PRD),
-   * but we at present don't produce this.
-   */
-  public static final GrammaticalRelation ATTRIBUTIVE =
-    new GrammaticalRelation(Language.English, "attr", "attributive",
-        AttributiveGRAnnotation.class, COMPLEMENT, "VP|SBARQ|SQ",
-        new String[] {
-          "VP !$ (NP < EX) < NP=target <(/^(?:VB|AUX)/ < " + copularWordRegex + ")",
-          // "What is that?"
-          "SBARQ < (WHNP|WHADJP=target $+ (SQ < (/^VB|AUX?/ < " + copularWordRegex + " !$++ VP) !< (VP <- (PP <:IN)) !<- (PP <: IN)))",
-          "SBARQ <, (WHNP|WHADJP=target !< WRB) <+(SQ|SINV|S|VP) (VP !< (S < (VP < TO)) < (/^(?:VB|AUX)/ < " + copularWordRegex + " $++ (VP < VBN|VBD)) !<- PRT !<- (PP <: IN) $-- (NP !< /^-NONE-$/))",
-          //"Is he the man?"
-          "SQ <, (/^(?:VB|AUX)/ < " + copularWordRegex + ") < (NP=target $-- (NP !< EX))"
-        });
-  public static class AttributiveGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "clausal complement" grammatical relation.  A clausal complement of
-   * a verb or adjective is a dependent clause with an internal subject which
-   * functions like an object of the verb, or adjective.  Clausal complements
-   * for nouns are limited to complement clauses with a subset of nouns
-   * like "fact" or "report".  We analyze them the same (parallel to the
-   * analysis of this class as "content clauses" in Huddleston and Pullum 2002).
-   * Clausal complements are usually finite (though there
-   * are occasional exceptions including remnant English subjunctives, and we
-   * also classify the complement of causative "have" (She had him arrested)
-   * in this category.<p>
-   * <p/>
-   * Example: <br/>
-   * "He says that you like to swim" &rarr;
-   * <code>ccomp</code>(says, like) <br/>
-   * "I am certain that he did it" &rarr;
-   * <code>ccomp</code>(certain, did) <br/>
-   * "I admire the fact that you are honest" &rarr;
-   * <code>ccomp</code>(fact, honest)
-   */
-  public static final GrammaticalRelation CLAUSAL_COMPLEMENT =
-    new GrammaticalRelation(Language.English, "ccomp", "clausal complement",
-        ClausalComplementGRAnnotation.class, COMPLEMENT, "VP|SINV|S|ADJP|ADVP|NP",
-        new String[] { // note if you add more words in the pattern, be sure to add them in the ADV_CLAUSE_MODIFIER too!
-          "VP < (S=target < (VP !<, TO|VBG|VBN) !$-- NP)",
-          "VP < (SBAR=target < (S <+(S) VP) <, (IN|DT < /^(?i:that|whether)$/))",
-          "VP < (SBAR=target < (SBAR < (S <+(S) VP) <, (IN|DT < /^(?i:that|whether)$/)) < CC|CONJP)",
-          "VP < (SBAR=target < (S < VP) !$-- NP !<, (IN|WHADVP))",
-          "VP < (SBAR=target < (S < VP) !$-- NP <, (WHADVP < (WRB < /^(?i:how)$/)))",
-          "VP < (/^VB/ < " + haveRegex + ") < (S=target < @NP < VP)",
-          // to find "...", he said or "...?" he asked.
-          "S|SINV < (S|SBARQ=target $+ /^(,|\\.|'')$/ !$- /^(?:CC|:)$/ !< (VP < TO|VBG|VBN))",
-          "ADVP < (SBAR=target < (IN < /^(?i:as|that)/) < (S < (VP !< TO)))", // ADVP is things like "As long as they spend ..."
-          "ADJP < (SBAR=target < (IN !< than) < (S < (VP !< TO)))", // ADJP is things like "sure (that) he'll lose"
-          // That ... he know
-          "S <, (SBAR=target <, (IN < /^(?i:that|whether)$/) !$+ VP)",
-          "@NP < JJ|NN|NNS < SBAR=target"  // JJ catches a couple of funny NPs with heads like "enough"
-        });
-  public static class ClausalComplementGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * An open clausal complement (<i>xcomp</i>) of a VP or an ADJP is a clausal
-   * complement without its own subject, whose reference is determined by an
-   * external subject.  These complements are always non-finite.
-   * The name <i>xcomp</i> is borrowed from Lexical-Functional Grammar.
-   * (Mainly "TO-clause" are recognized, but also some VBG like "stop eating")
-   * <p/>
-   * <p/>
-   * Examples: <br/>
-   * "I like to swim" &rarr;
-   * <code>xcomp</code>(like, swim) <br/>
-   * "I am ready to leave" &rarr;
-   * <code>xcomp</code>(ready, leave)
-   */
-  public static final GrammaticalRelation XCLAUSAL_COMPLEMENT =
-    new GrammaticalRelation(Language.English, "xcomp", "xclausal complement",
-        XClausalComplementGRAnnotation.class, COMPLEMENT, "VP|ADJP",
-        new String[] {
-          // basic VP complement xcomp; this used to exclude embedding under a VP headed by be, as some are purpose clauses, but it seems like the vast majority aren't so I've removed that restriction
-          "VP < (S=target !$- (NN < /^order$/) < (VP < TO))",    // used to have !> (VP < (VB|AUX < be))
-          "ADJP < (S=target <, (VP <, TO))",
-          "VP < (S=target !$- (NN < /^order$/) < (NP $+ NP|ADJP))",
-          // to find "help sustain ...
-          "VP < (/^(?:VB|AUX)/ $+ (VP=target < VB < NP))",
-          "VP !> (VP < (VB|AUX < be)) < (SBAR=target < (S !$- (NN < /^order$/) < (VP < TO)))",
-          "VP > VP < (S=target !$- (NN < /^order$/) <: NP)",
-          // stop eating
-          "VP < (S=target !< NP < (VP < VBG))"
-        });
-  public static class XClausalComplementGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "complementizer" grammatical relation.  A
-   * complementizer of a clausal complement is the word introducing it.
-   * <p/>
-   * <p/>
-   * Example: <br/>
-   * "He says that you like to swim" &rarr;
-   * <code>complm</code>(like, that)
-   */
-  public static final GrammaticalRelation COMPLEMENTIZER =
-    new GrammaticalRelation(Language.English, "complm", "complementizer",
-        ComplementizerGRAnnotation.class, COMPLEMENT, "SBAR",
-        new String[] {
-          "SBAR <, (IN|DT=target < /^(?:that|whether)$/) [ $-- /^(?:VB|AUX)/ | $- NP|NN|NNS | > ADJP|PP | > (@NP|UCP|SBAR < CC|CONJP $-- /^(?:VB|AUX)/) ]",
-          "SBAR <, (IN|DT=target < /^(?:That|Whether)$/)"
-        });
-  public static class ComplementizerGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "marker" grammatical relation.  A
-   * marker of an adverbial clausal complement is the word introducing it.
-   * <p/>
-   * Example: <br/>
-   * "U.S. forces have been engaged in intense fighting after insurgents launched simultaneous attacks" &rarr;
-   * <code>mark</code>(launched, after)
-   */
-  public static final GrammaticalRelation MARKER =
-    new GrammaticalRelation(Language.English, "mark", "marker",
-        MarkerGRAnnotation.class, COMPLEMENT, "SBAR(?:-TMP)?",
-        new String[] {
-          "/^SBAR(?:-TMP)?$/ <, (IN=target !< /^(?i:that|whether)$/) < S|FRAG"
-        });
-  public static class MarkerGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "relative" grammatical relation.  A
-   * relative of a relative clause is the head word of the WH-phrase
-   * introducing it.
-   * <p/>
-   * <p/>
-   * Examples: <br/>
-   * "I saw the man that you love" &rarr;
-   * <code>rel</code>(love, that) <br/>
-   * "I saw the man whose wife you love" &rarr;
-   * <code>rel</code>(love, wife) <br/>
-   * <p/>
-   * Note that this is designed to *not* match cases when there is no overt
-   * subject NP.  They are instead matched by the nsubj rule.  Effectively
-   * this gives us an HPSG-like relative clause analysis, where subject
-   * relatives are analyzed as regular subject structures.  And "why" (WHADVP)
-   * cases are treated as advmod not as rel.
-   */
-  public static final GrammaticalRelation RELATIVE =
-    new GrammaticalRelation(Language.English, "rel", "relative",
-        RelativeGRAnnotation.class, COMPLEMENT, "SBAR",
-        new String[] {
-          "SBAR <, WHNP|WHPP|WHADJP=target > /^NP/ [ !<, /^WHNP/ | < (S < (VP $-- (/^NP/ !< /^-NONE-$/)))]"
-        });
-  public static class RelativeGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "referent" grammatical relation.  A
-   * referent of the Wh-word of a NP is  the relative word introducing the relative clause modifying the NP.
-   * <p/>
-   * Example: <br/>
-   * "I saw the book which you bought" &rarr;
-   * <code>ref</code>(book, which) <br/>
-   * "I saw the book the cover of which you designed" &rarr;
-   * <code>ref</code>(book, which)
-   */
-  public static final GrammaticalRelation REFERENT =
-    new GrammaticalRelation(Language.English, "ref", "referent",
-        ReferentGRAnnotation.class, DEPENDENT, "NP",
-        new String[] {
-          "NP $+ (SBAR <+(SBAR) (WHNP|WHPP <+(@WHNP|WHPP|NP|PP) /^(?:WDT|WP|WP\\$)$/=target)) > NP",
-          "NP $+ (/^(?:,|PP|PRN)$/ $+ (SBAR < (WHNP|WHPP <+(@WHNP|WHPP|NP|PP) /^(?:WDT|WP|WP\\$)$/=target))) > NP",
-          "NP $+ (/^(?:,|PP|PRN)$/ $+ (/^(?:\"|''|,)$/ $+ (SBAR < (WHNP|WHPP <+(@WHNP|WHPP|NP|PP) /^(?:WDT|WP|WP\\$)$/=target)))) > NP",
-          // to find referent for "the man, who I trust, ..." as well as referent in structure such as NP PP SBAR
-          // Previously !< /^WP\$/ was added to prevent something like "whose wife" to get a referent between the antecedent and "wife"
-          // which is the head of the WHNP, but now we try to trace down to head Wh-word in NP
-        });
-  public static class ReferentGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-
-  /**
-   * The "expletive" grammatical relation.
-   * This relation captures an existential there.
-   * <p/>
-   * <p/>
-   * Example: <br/>
-   * "There is a statue in the corner" &rarr;
-   * <code>expl</code>(is, there)
-   */
-  public static final GrammaticalRelation EXPLETIVE =
-    new GrammaticalRelation(Language.English, "expl", "expletive",
-        ExpletiveGRAnnotation.class, DEPENDENT, "S|SQ",
-        new String[] {
-          "S|SQ < (NP=target < EX)"
-        });
-  public static class ExpletiveGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "adjectival complement" grammatical relation.  An
-   * adjectival complement of a VP is an adjectival phrase which
-   * functions as the complement (like an object of the verb); an adjectival
-   * complement of a clause is the adjectival complement of the VP which is
-   * the predicate of that clause.<p>
-   * <p/>
-   * Example: <br/>
-   * "She looks very beautiful" &rarr;
-   * <code>acomp</code>(looks, beautiful)
-   */
-  public static final GrammaticalRelation ADJECTIVAL_COMPLEMENT =
-    new GrammaticalRelation(Language.English, "acomp", "adjectival complement",
-        AdjectivalComplementGRAnnotation.class, COMPLEMENT, "VP",
-        new String[] {
-          "VP [ < (ADJP=target !$-- NP) |  < (/^VB/ $+ (@S=target < (@ADJP < /^JJ/ ! $-- @NP|S))) ]",
-        });
-  public static class AdjectivalComplementGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "modifier" grammatical relation.  A modifier of a VP is
-   * any constituent that serves to modify the meaning of the VP
-   * (but is not an <code>ARGUMENT</code> of that
-   * VP); a modifier of a clause is an modifier of the VP which is
-   * the predicate of that clause.<p>
-   * <p/>
-   * Examples: <br/>
-   * "Last night, I swam in the pool" &rarr;
-   * <code>mod</code>(swam, in the pool),
-   * <code>mod</code>(swam, last night)
-   */
-  public static final GrammaticalRelation MODIFIER =
-    new GrammaticalRelation(Language.English, "mod", "modifier",
-        ModifierGRAnnotation.class, DEPENDENT);
-  public static class ModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "adverbial clause modifier" grammatical relation.  An adverbial clause
-   * modifier of a VP or (inverted) sentence is a clause modifying the verb (temporal clauses,
-   * consequences, conditional clauses, etc.).
-   * <p/>
-   * Examples: <br/>
-   * "The accident happened as the night was falling" &rarr;
-   * <code>advcl</code>(happened, falling) <br/>
-   * "If you know who did it, you should tell the teacher" &rarr;
-   * <code>advcl</code>(tell, know)
-   */
-  public static final GrammaticalRelation ADV_CLAUSE_MODIFIER =
-    new GrammaticalRelation(Language.English, "advcl", "adverbial clause modifier",
-        AdvClauseModifierGRAnnotation.class, MODIFIER, "VP|S|SQ|SINV|SBARQ",
-        new String[] {   // !$+ (NN < /^order$/) has been added so that "in order to" is not marked as an advcl
-          // second disjunct matches inverted "had he investigated" cases, 3rd case is "so that" purpose clauses.
-          "VP < (@SBAR=target [ <, (IN !< /^(?i:that|whether)$/ !$+ (NN < /^order$/)) | <: (SINV <1 /^(?:VB|MD|AUX)/) | < (IN < that) < (RB|IN < so) ] )",
-          "S|SQ|SINV <, (/^SBAR(?:-TMP)?$/=target <, (IN !< /^(?i:that|whether)$/ !$+ (NN < /^order$/)) !$+ VP)",
-          // to get "rather than"
-          "S|SQ|SINV <, (/^SBAR(?:-TMP)?$/=target <2 (IN !< /^(?i:that|whether)$/ !$+ (NN < /^order$/)))",
-          "S|SQ|SINV < (/^SBAR(?:-TMP)?$/=target <, (IN !< /^(?i:that|whether)$/ !$+ (NN < /^order$/)) !$+ @VP $+ /^,$/ $++ @NP)", // this one might just be better, but at any rate license one with quotation marks or a conjunction beforehand
-          "SBARQ < (/^SBAR(?:-TMP|ADV)?$/=target <, (IN !< /^(?i:that|whether)$/ !$+ (NN < /^order$/)) $+ /^,$/ $++ @SQ|S|SBARQ)", // the last part should probably only be @SQ, but this captures some strays at no cost
-          "VP < (/^SBAR(?:-TMP)?$/=target <, (WHADVP|WHNP < (WRB !< /^(?i:how)$/)) !< (S < (VP < TO)))", // added the (S < (VP <TO)) part so that "I tell them how to do so" doesn't get a wrong advcl
-          "S|SQ < (/^SBAR(?:-TMP)?$/=target <, (WHADVP|WHNP < (WRB !< /^(?i:how)$/)) !< (S < (VP < TO)))",
-          "S|SQ <, (PP=target <, RB)"
-        });
-  public static class AdvClauseModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "purpose clause modifier" grammatical relation.  A purpose clause
-   * modifier of a VP is a clause headed by "(in order) to" specifying a
-   * purpose.  Note: at present we only recognize ones that have
-   * "in order to" or are fronted.  Otherwise we can't use our surface representations
-   * distinguish these from xcomp's. We can also recognize "to" clauses
-   * introduced by "be VBN".
-   * <p/>
-   * Example: <br/>
-   * "He talked to the president in order to secure the account" &rarr;
-   * <code>purpcl</code>(talked, secure)
-   */
-  public static final GrammaticalRelation PURPOSE_CLAUSE_MODIFIER =
-    new GrammaticalRelation(Language.English, "purpcl", "purpose clause modifier",
-        PurposeClauseModifierGRAnnotation.class, MODIFIER, "VP|S",
-        new String[] {
-          "VP < (/^SBAR/=target < (IN < in) < (NN < order) < (S < (VP < TO)))",
-          // "VP > (VP < (VB|AUX < be)) < (S=target !$- /^,$/ < (VP < TO|VBG) !$-- NP)", // [cdm 2010: this pattern was added by me in 2006, but it is just bad!]
-          "@S < (@S=target < (VP < TO) $+ (/^,$/ $+ @NP))",
-        });
-  public static class PurposeClauseModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "relative clause modifier" grammatical relation.  A relative clause
-   * modifier of an NP is a relative clause modifying the NP.  The link
-   * points from the head noun of the NP to the head of the relative clause,
-   * normally a verb.
-   * <p/>
-   * <p/>
-   * Examples: <br/>
-   * "I saw the man you love" &rarr;
-   * <code>rcmod</code>(man, love)  <br/>
-   * "I saw the book which you bought" &rarr;
-   * <code>rcmod</code>(book, bought)
-   */
-  public static final GrammaticalRelation RELATIVE_CLAUSE_MODIFIER =
-    new GrammaticalRelation(Language.English, "rcmod", "relative clause modifier",
-        RelativeClauseModifierGRAnnotation.class, MODIFIER, "(?:WH)?NP|NML",
-        new String[] {
-          "NP|WHNP|NML $++ (SBAR=target <+(SBAR) WHPP|WHNP) > @NP|WHNP",
-          "NP|WHNP|NML $++ (SBAR=target <: (S !<, (VP <, TO))) > @NP|WHNP",
-          // this next pattern is restricted to where and why because "when" is usually incorrectly parsed: temporal clauses are put inside the NP; 2nd is for case of relative clauses with no relativizer (it doesn't distinguish whether actually gapped).
-          "NP|NML $++ (SBAR=target < (WHADVP < (WRB </^(?i:where|why)/))) > @NP",
-          "NP|WHNP|NML $++ RRC=target"
-        });
-  public static class RelativeClauseModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "adjectival modifier" grammatical relation.  An adjectival
-   * modifier of an NP is any adjectival phrase that serves to modify
-   * the meaning of the NP.<p>
-   * <p/>
-   * Example: <br/>
-   * "Sam eats red meat" &rarr;
-   * <code>amod</code>(meat, red) <p/>
-   * The relation amod is also used for multiword country adjectives, despite their
-   * questionable treebank representation.
-   * <p/>
-   * Example: <br/>
-   * "the West German economy" &rarr;
-   * <code>amod</code>(German, West),
-   * <code>amod</code>(economy, German)
-   */
-  public static final GrammaticalRelation ADJECTIVAL_MODIFIER =
-    new GrammaticalRelation(Language.English, "amod", "adjectival modifier",
-        AdjectivalModifierGRAnnotation.class, MODIFIER, "NP(?:-TMP|-ADV)?|NX|NML|NAC|WHNP|ADJP",
-        new String[] {
-          "/^(?:NP(?:-TMP|-ADV)?|NX|NML|NAC|WHNP)$/ < (ADJP|WHADJP|JJ|JJR|JJS|JJP|VBN|VBG|VBD|IN=target !< QP !$- CC)",
-                // IN above is needed for "next" in "next week" etc., which is often tagged IN.
-          "ADJP !< CC|CONJP < (JJ|NNP $ JJ|NNP=target)",
-        });
-  public static class AdjectivalModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "numeric modifier" grammatical relation.  A numeric
-   * modifier of an NP is any number phrase that serves to modify
-   * the meaning of the NP.<p>
-   * <p/>
-   * Example: <br/>
-   * "Sam eats 3 sheep" &rarr;
-   * <code>num</code>(sheep, 3)
-   */
-  public static final GrammaticalRelation NUMERIC_MODIFIER =
-    new GrammaticalRelation(Language.English, "num", "numeric modifier",
-        NumericModifierGRAnnotation.class, MODIFIER, "(?:WH)?NP(?:-TMP|-ADV)?|NML|NX",
-        new String[] {
-          "/^(?:WH)?(?:NP|NX|NML)(?:-TMP|-ADV)?$/ < (CD|QP=target !$- CC)",
-          "/^(?:WH)?(?:NP|NX|NML)(?:-TMP|-ADV)?$/ < (ADJP=target <: QP)"
-        });
-  public static class NumericModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "compound number modifier" grammatical relation.  A compound number
-   * modifier is a part of a number phrase or currency amount.
-   * <p/>
-   * Example: <br/>
-   * "I lost $ 3.2 billion" &rarr;
-   * <code>number</code>($, billion)
-   */
-  public static final GrammaticalRelation NUMBER_MODIFIER =
-    new GrammaticalRelation(Language.English, "number", "compound number modifier",
-        NumberModifierGRAnnotation.class, MODIFIER, "QP|ADJP",
-        new String[] {
-          "QP|ADJP < (/^(?:CD|$|#)$/=target !$- CC)"
-        });
-  public static class NumberModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "quantifier phrase modifier" grammatical relation.  A quantifier
-   * modifier is an element modifying the head of a QP constituent.
-   * <p/>
-   * Example: <br/>
-   * "About 200 people came to the party" &rarr;
-   * <code>quantmod</code>(200, About)
-   */
-  public static final GrammaticalRelation QUANTIFIER_MODIFIER =
-    new GrammaticalRelation(Language.English, "quantmod", "quantifier modifier",
-        QuantifierModifierGRAnnotation.class, MODIFIER, "QP",
-        new String[] {
-          "QP < /^(?:IN|RB|RBR|RBS|PDT|DT|JJ|JJR|JJS|XS)$/=target"
-        });
-  public static class QuantifierModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "noun compound modifier" grammatical relation.  A noun compound
-   * modifier of an NP is any noun that serves to modify the head noun.
-   * Note that this has all nouns modify the rightmost a la Penn headship
-   * rules.  There is no intelligent noun compound analysis. <p>
-   * <p/>
-   * Example: <br/>
-   * "Oil price futures" &rarr;
-   * <code>nn</code>(futures, oil),
-   * <code>nn</code>(futures, price) <p/>
-   */
-  public static final GrammaticalRelation NOUN_COMPOUND_MODIFIER =
-    new GrammaticalRelation(Language.English, "nn", "nn modifier",
-        NounCompoundModifierGRAnnotation.class, MODIFIER, "(?:WH)?(?:NP|NX|NAC|NML|ADVP|ADJP)(?:-TMP|-ADV)?",
-        new String[] {
-          "/^(?:WH)?(?:NP|NX|NAC|NML)(?:-TMP|-ADV)?$/ < (NP|NML|NN|NNS|NNP|NNPS|FW=target $++ NN|NNS|NNP|NNPS|FW|CD !<<- POS !$- /^,$/ )",
-          "/^(?:WH)?(?:NP|NX|NAC|NML)(?:-TMP|-ADV)?$/ < (NP|NML|NN|NNS|NNP|NNPS|FW=target !<<- POS $+ JJ|JJR|JJS) <# NN|NNS|NNP|NNPS !<<- POS",
-          "ADJP|ADVP < (FW [ $- FW=target | $- (IN=target < in|In) ] )",  // in vitro, in vivo, etc., in Genia
-        });
-  public static class NounCompoundModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "appositional modifier" grammatical relation.  An appositional
-   * modifier of an NP is an NP that serves to modify
-   * the meaning of the NP.  It includes parenthesized examples
-   * <p/>
-   * Examples: <br/>
-   * "Sam, my brother, eats red meat" &rarr;
-   * <code>appos</code>(Sam, brother) <br/>
-   * "Bill (John's cousin)" &rarr; <code>appos</code>(Bill, cousin).
-   */
-  public static final GrammaticalRelation APPOSITIONAL_MODIFIER =
-    new GrammaticalRelation(Language.English, "appos", "appositional modifier",
-        AppositionalModifierGRAnnotation.class, MODIFIER, "(?:WH)?NP(?:-TMP|-ADV)?",
-        new String[] {
-          "/^(?:WH)?NP(?:-TMP|-ADV)?$/ < (NP=target $- /^,$/ $-- /^(?:WH)?NP/ !$ CC|CONJP)",
-          "/^(?:WH)?NP(?:-TMP|-ADV)?$/ < (PRN=target < (NP < /^NNS?|CD$/ $-- /^-LRB-$/ $+ /^-RRB-$/))",
-          // TODO: last pattern with NNP doesn't work because leftmost NNP is deemed head in a
-          // structure like (NP (NNP Norway) (, ,) (NNP Verdens_Gang) (, ,))
-          "/^NP(?:-TMP|-ADV)?$/ < (NNP $+ (/^,$/ $+ NNP=target)) !< CC|CONJP"
-        });
-  public static class AppositionalModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "abbreviation modifier" grammatical relation.
-   * An abbreviation modifier of an NP is a parenthesized NP that serves to
-   * abbreviate the NP (or to define an abbreviation).
-   * Abbreviations are recognized either by being deemed proper nouns or
-   * by matching a regex pattern.<p>
-   * <p/>
-   * Example: <br/>
-   * "The Australian Broadcasting Corporation (ABC)" &rarr;
-   * <code>abbrev</code>(Corporation, ABC)
-   */
-  public static final GrammaticalRelation ABBREVIATION_MODIFIER =
-    new GrammaticalRelation(Language.English, "abbrev", "abbreviation modifier",
-        AbbreviationModifierGRAnnotation.class, APPOSITIONAL_MODIFIER, "(?:WH)?NP(?:-TMP|-ADV)?",
-        // for biomedical English, the former NNP heuristic really doesn't work, because they use NN for all chemical entities
-        // while not unfoolable, this version produces less false positives and more true positives.
-        new String[] {
-          "/^(?:WH)?NP(?:-TMP|-ADV)?$/ < (PRN=target <, /^-LRB-$/ <- /^-RRB-$/ !<< /^(?:POS|(?:WP|PRP)\\$|[,$#]|CC|RB|CD)$/ <+(NP) (NNP|NN < /^(?:[A-Z]\\.?){2,}/) )"
-        });
-
-  public static class AbbreviationModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "participial modifier" grammatical relation.  A participial
-   * modifier of an NP or VP (or S) is a VP[part] that serves to modify
-   * the meaning of the NP or VP.<p>
-   * <p/>
-   * Examples: <br/>
-   * "truffles picked during the spring are tasty" &rarr;
-   * <code>partmod</code>(truffles, picked) <br/>
-   * "Bill picked Fred for the team demonstrating his incompetence" &rarr;
-   * <code>partmod</code>(picked, demonstrating)
-   */
-  public static final GrammaticalRelation PARTICIPIAL_MODIFIER =
-    new GrammaticalRelation(Language.English, "partmod", "participial modifier",
-        ParticipialModifierGRAnnotation.class, MODIFIER, "(?:WH)?NP(?:-TMP|-ADV)?|VP|S|SINV",
-        new String[] {
-          "/^(?:WH)?NP(?:-TMP|-ADV)?$/ < (VP=target < VBG|VBN|VBD $-- NP)",  // also allow VBD since it quite often occurs in treebank errors and parse errors
-          // to get "MBUSA, headquartered ..."
-          "/^(?:WH)?NP(?:-TMP|-ADV)?$/ < (/^,$/ $+ (VP=target <, VBG|VBN))",
-          // to get "John, knowing ..., announced "
-          "S|SINV < (S=target < (VP <, VBG|VBN) [ $- (/^,$/ [ $- @NP | $- (@PP $ @NP) ] ) | $+ (/^,$/ $+ @NP) ] )",
-          "VP < (S=target < (VP <, VBG|VBN) $- (/^,$/ [ $- @NP | $- (@PP $ @NP) ] ) )",
-        });
-  public static class ParticipialModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "infinitival modifier" grammatical relation.  An infinitival
-   * modifier of an NP is an S/VP that serves to modify
-   * the meaning of the NP.<p>
-   * <p/>
-   * Example: <br/>
-   * "points to establish are ..." &rarr;
-   * <code>infmod</code>(points, establish)
-   */
-  public static final GrammaticalRelation INFINITIVAL_MODIFIER =
-    new GrammaticalRelation(Language.English, "infmod", "infinitival modifier",
-        InfinitivalModifierGRAnnotation.class, MODIFIER, "NP(?:-TMP|-ADV)?",
-        new String[] {
-          "/^NP(?:-[A-Z]+)?$/ < (S=target < (VP < TO) $-- /^NP|NNP?S?$/)",
-          "/^NP(?:-[A-Z]+)?$/ < (SBAR=target < (S < (VP < TO)) $-- /^NP|NNP?S?$/)"
-        });
-  public static class InfinitivalModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-  // match "not", "n't", "nt" (for informal writing), or "never" as _complete_ string
-  private static final String NOT_PAT = "/^(?i:n[o']?t|never)$/";
-
-  /**
-   * The "adverbial modifier" grammatical relation.  An adverbial
-   * modifier of a word is a (non-clausal) RB or ADVP that serves to modify
-   * the meaning of the word.<p>
-   * <p/>
-   * Examples: <br/>
-   * "genetically modified food" &rarr;
-   * <code>advmod</code>(modified, genetically) <br/>
-   * "less often" &rarr;
-   * <code>advmod</code>(often, less)
-   */
-  public static final GrammaticalRelation ADVERBIAL_MODIFIER =
-    new GrammaticalRelation(Language.English, "advmod", "adverbial modifier",
-        AdverbialModifierGRAnnotation.class, MODIFIER,
-        "VP|ADJP|WHADJP|ADVP|WHADVP|S|SBAR|SINV|SQ|SBARQ|XS|(?:WH)?(?:PP|NP)(?:-TMP|-ADV)?|RRC|CONJP|JJP",
-        new String[] {
-          "/^(?:VP|ADJP|JJP|WHADJP|SQ?|SBARQ?|SINV|XS|RRC|(?:WH)?NP(?:-TMP|-ADV)?)$/ < (RB|RBR|RBS|WRB|ADVP|WHADVP=target !< " + NOT_PAT + ")",
-          // avoids adverb conjunctions matching as advmod; added JJ to catch How long
-          "ADVP|WHADVP < (RB|RBR|RBS|WRB|ADVP|WHADVP|JJ=target !< " + NOT_PAT + ") !< CC !< CONJP",
-          //this one gets "at least" advmod(at, least) or "fewer than" advmod(than, fewer)
-          "SBAR < (WHNP=target < WRB)", "SBARQ <, WHADVP=target", "XS < /^JJ$/=target",
-          // for PP, only ones before head, or after NP, since others afterwards are pcomp
-          "/(?:WH)?PP(?:-TMP|-ADV)?$/ <# (__ $-- (RB|RBR|RBS|WRB|ADVP|WHADVP=target !< " + NOT_PAT + "))",
-          "/(?:WH)?PP(?:-TMP|-ADV)?$/ < @NP|WHNP < (RB|RBR|RBS|WRB|ADVP|WHADVP=target !< " + NOT_PAT + ")",
-          "CONJP < (RB=target !< " + NOT_PAT + ")",
-        });
-  public static class AdverbialModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "negation modifier" grammatical relation.  The negation modifier
-   * is the relation between a negation word and the word it modifies.
-   * <p/>
-   * Examples: <br/>
-   * "Bill is not a scientist" &rarr;
-   * <code>neg</code>(scientist, not) <br/>
-   * "Bill doesn't drive" &rarr;
-   * <code>neg</code>(drive, n't)
-   */
-  public static final GrammaticalRelation NEGATION_MODIFIER =
-    new GrammaticalRelation(Language.English, "neg", "negation modifier",
-        NegationModifierGRAnnotation.class, ADVERBIAL_MODIFIER,
-        "VP|ADJP|S|SBAR|SINV|SQ|NP(?:-TMP|-ADV)?|FRAG|CONJP|PP",
-        new String[] {
-          "/^(?:VP|NP(?:-TMP|-ADV)?|ADJP|SQ|S|FRAG|CONJP|PP)$/< (RB=target < " + NOT_PAT + ")",
-          "VP|ADJP|S|SBAR|SINV|FRAG < (ADVP=target <# (RB < " + NOT_PAT + "))",
-          "VP > SQ $-- (RB=target < " + NOT_PAT + ")"
-        });
-  public static class NegationModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "noun phrase as adverbial modifier" grammatical relation.
-   * This relation captures various places where something syntactically a noun
-   * phrase is used as an adverbial modifier in a sentence.  These usages include:
-   * <ul>
-   * <li> A measure phrase, which is the relation between
-   * the head of an ADJP/ADVP and the head of a measure-phrase modifying the ADJP/ADVP.
-   * <p/>
-   * Example: <br/>
-   * "The director is 65 years old" &rarr;
-   * <code>npadvmod</code>(old, years)
-   * </li>
-   * <li> Noun phrases giving extent inside a VP which are not objects
-   * <p/>
-   * Example: <br/>
-   * "Shares eased a fraction" &rarr;
-   * <code>npadvmod</code>(eased, fraction)
-   * </li>
-   * <li> Financial constructions involving an adverbial or PP-like NP, notably
-   * the following construction where the NP means "per share"
-   * <p/>
-   * Example: <br/>
-   * "IBM earned $ 5 a share" &rarr;
-   * <code>npadvmod</code>($, share)
-   * </li>
-   * <li>Reflexives
-   * <p/>
-   * Example: <br/>
-   * "The silence is itself significant" &rarr;
-   * <code>npadvmod</code>(significant, itself)
-   * </li>
-   * <li>Certain other absolutive NP constructions.
-   * <p/>
-   * Example: <br/>
-   * "90% of Australians like him, the most of any country" &rarr;
-   * <code>npadvmod</code>(like, most)
-   * </ul>
-   * A temporal modifier (tmod) is a subclass of npadvmod which is distinguished
-   * as a separate relation.
-   */
-  public static final GrammaticalRelation NP_ADVERBIAL_MODIFIER =
-    new GrammaticalRelation(Language.English, "npadvmod", "noun phrase adverbial modifier",
-        NpAdverbialModifierGRAnnotation.class, MODIFIER, "VP|(?:WH)?(?:NP|ADJP|ADVP|PP)(?:-TMP|-ADV)?",
-        new String[] {
-          // measure phrases pattern (don't allow VBG/VBN cases, as often participles)
-          "@ADVP|ADJP|WHADJP|WHADVP|PP|WHPP <# (JJ|JJR|IN|RB|RBR !< notwithstanding $- (@NP=target !< NNP|NNPS))",
-          "@NP|WHNP < /^NP-ADV/=target",
-          // this next one is for weird financial listings: 4.7% three months
-          "@NP <1 (@NP <<# /^%$/) <2 (@NP=target <<# days|month|months) !<3 __",
-          "@VP < /^NP-ADV/=target",
-        });
-  public static class NpAdverbialModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "temporal modifier" grammatical relation.  A temporal
-   * modifier of a VP or an ADJP is any constituent that serves to modify the
-   * meaning of the VP or the ADJP by specifying a time; a temporal modifier of a
-   * clause is an temporal modifier of the VP which is the
-   * predicate of that clause.<p>
-   * <p/>
-   * Example: <br/>
-   * "Last night, I swam in the pool" &rarr;
-   * <code>tmod</code>(swam, night)
-   */
-  public static final GrammaticalRelation TEMPORAL_MODIFIER =
-    new GrammaticalRelation(Language.English, "tmod", "temporal modifier",
-        TemporalModifierGRAnnotation.class, NP_ADVERBIAL_MODIFIER, "VP|S|ADJP|PP|SBAR|SBARQ|NP",
-        new String[] {
-          "VP|ADJP < /^NP-TMP$/=target",
-          "VP|ADJP < (NP=target < (/^NN/ < " + timeWordRegex + ") !$+ (/^JJ/ < old))",
-          // CDM Jan 2010: For constructions like "during the same period last year"
-          "@PP < (IN|TO|VBG|FW $++ (@NP $+ /^NP-TMP$/=target))",
-          "@PP < (IN|TO|VBG|FW $++ (@NP $+ (NP=target < (/^NN/ < " + timeWordRegex + "))))",
-          "S < (/^NP-TMP$/=target $++ VP [ $++ NP | $-- NP] )",
-          "S < (NP=target < (/^NN/ < " + timeWordRegex + ") $++ (NP $++ VP))",
-          // matches when relative clauses as temporal modifiers of verbs!
-          "SBAR < (@WHADVP < (WRB < when)) < (S < (NP $+ (VP !< (/^(?:VB|AUX)/ < " + copularWordRegex + " !$+ VP) ))) !$-- CC $-- NP > NP=target",
-          "SBARQ < (@WHNP=target < (/^NN/ <# " + timeWordRegex + ")) < (SQ < @NP)",
-          "NP < NP-TMP=target"
-          });
-  public static class TemporalModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "multi-word expression" grammatical relation.
-   * This covers various multi-word constructions for which it would
-   * seem pointless or arbitrary to claim grammatical relations between words:
-   * as well as, rather than, instead of, but also;
-   * such as, because of, all but, in addition to ....
-   * <p/>
-   * Examples: <br/>
-   * "dogs as well as cats" &rarr;
-   * <code>mwe</code>(well, as)<br/>
-   * <code>mwe</code>(well, as)<p/>
-   * "fewer than 700 bottles" &rarr;
-   * <code>mwe</code>(than, fewer)
-   */
-  public static final GrammaticalRelation MULTI_WORD_EXPRESSION =
-    new GrammaticalRelation(Language.English, "mwe", "multi-word expression",
-        MultiWordExpressionGRAnnotation.class, MODIFIER, "PP|XS|ADVP|CONJP",
-        new String[] {
-          "PP|XS < (IN|TO < as|of|at|to|in) < (JJ|IN|JJR|JJS|NN=target < such|because|Because|least|instead|due|Due|addition|to)",
-          "ADVP < (RB|IN < well) < (IN|RB|JJS=target < as)",
-          "ADVP < (DT < all) < (CC < but)",
-          "CONJP < (RB < rather|well|instead) < (RB|IN=target < as|than|of)",
-          "CONJP < (IN < in) < (NN|TO=target < addition|to)",
-          // todo: note inconsistent head finding for "rather than"!
-          "XS < JJR|JJS=target" // more than, fewer than, well over -- maybe change some of these?
-        });
-  public static class MultiWordExpressionGRAnnotation extends GrammaticalRelationAnnotation { }
-
-  /* mihai: this block needs to be uncommented to get the KBP 2010 system to work (due to the cached sentences using old code)
-   **
-   * The "measure-phrase" grammatical relation. The measure-phrase is the relation between
-   * the head of an ADJP/ADVP and the head of a measure-phrase modifying the ADJP/ADVP.
-   * <p/>
-   * Example: <br/>
-   * "The director is 65 years old" &rarr;
-   * <code>measure</code>(old, years)
-   *
-  public static final GrammaticalRelation MEASURE_PHRASE =
-    new GrammaticalRelation(Language.English, "measure", "measure-phrase",
-        MeasurePhraseGRAnnotation.class, MODIFIER, "ADJP|ADVP",
-        new String[] {
-          "ADJP <- JJ <, (NP=target !< NNP)",
-          "ADVP|ADJP <# (/^JJ|IN$/ $- NP=target)"
-        });
-  public static class MeasurePhraseGRAnnotation extends GrammaticalRelationAnnotation { }
-  */ // mihai: end blockß
-
-  /**
-   * The "determiner" grammatical relation.
-   * <p> <p/>
-   * Examples: <br/>
-   * "The man is here" &rarr; <code>det</code>(man,the) <br/>
-   * "Which man do you prefer?" &rarr; <code>det</code>(man,which)
-   */
-  public static final GrammaticalRelation DETERMINER =
-    new GrammaticalRelation(Language.English, "det", "determiner",
-        DeterminerGRAnnotation.class, MODIFIER, "(?:WH)?NP(?:-TMP|-ADV)?|NAC|NML|NX|X",
-        new String[] {
-          "/^(?:NP(?:-TMP|-ADV)?|NAC|NML|NX|X)$/ < (DT=target !< /both|either|neither/ !$+ DT !$++ CC $++ /^(?:N[MNXP]|CD|JJ|FW|ADJP|QP|RB|PRP|PRN)/)",
-          "/^NP(?:-TMP|-ADV)?$/ < (DT=target < /both|either|neither/ !$+ DT !$++ CC $++ /^(?:NN|NX|NML)/ !$++ (NP < CC))",
-          "/^NP(?:-TMP|-ADV)?$/ < (DT=target !< /both|neither|either/ $++ CC $++ /^(?:NN|NX|NML)/)",
-          "/^NP(?:-TMP|-ADV)?$/ < (DT=target $++ (/^JJ/ !$+ /^NN/) !$++CC !$+ DT)",
-          "/^NP(?:-TMP|-ADV)?$/ < (RB=target $++ (/PDT/ $+ /^NN/))", // todo: This matches nothing. Was it meant to be a PDT rule for (NP almost/RB no/DT chairs/NNS)?
-          "/^NP(?:-TMP|-ADV)?$/ <<, PRP <- (NP|DT|RB=target <<- all|both|each)", // we all, them all; various structures
-          "WHNP < (NP $-- (WHNP=target < WDT))",
-          "WHNP < (/^(?:NP|NN|CD)/ $-- (DT|WDT|WP=target))"
-        });
-  public static class DeterminerGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "predeterminer" grammatical relation.
-   * <p> <p/>
-   * Example: <br/>
-   * "All the boys are here" &rarr; <code>predet</code>(boys,all)
-   */
-  public static final GrammaticalRelation PREDETERMINER =
-    new GrammaticalRelation(Language.English, "predet", "predeterminer",
-        PredeterminerGRAnnotation.class, MODIFIER, "(?:WH)?(?:NP|NX|NAC|NML)(?:-TMP|-ADV)?",
-        new String[] {
-          "/^(?:(?:WH)?NP(?:-TMP|-ADV)?|NX|NAC|NML)$/ < (PDT|DT=target $+ /^(?:DT|WP\\$|PRP\\$)$/ $++ /^N[NXM]/ !$++ CC)",
-          "/^(?:WH)?NP(?:-TMP|-ADV)?$/ < (PDT|DT=target $+ DT $++ (/^JJ/ !$+ /^NN/)) !$++ CC",
-          "/^(?:WH)?NP(?:-TMP|-ADV)?$/ < PDT=target <- DT"
-        });
-  public static class PredeterminerGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "preconjunct" grammatical relation.
-   * <p> <p/>
-   * Example: <br/>
-   * "Both the boys and the girls are here" &rarr; <code>preconj</code>(boys,both)
-   */
-  public static final GrammaticalRelation PRECONJUNCT =
-    new GrammaticalRelation(Language.English, "preconj", "preconjunct",
-        PreconjunctGRAnnotation.class, MODIFIER,
-        "S|VP|ADJP|PP|ADVP|UCP|NX|NML|SBAR|NP(?:-TMP|-ADV)?",
-        new String[] {
-          // "/^NP(?:-TMP|-ADV)?|NX|NML$/ < (PDT|CC=target < /^(?i:both|neither|either)$/ [ $++ /^N[NXM]/ | $++ (/^JJ/ !$+ /^NN/) ] ) $++ CC",  // cdm Jun 2010: This pattern was matching nothing, since it was looking for the second CC as sister of the top NP not of the preconjunct.  But if you move the close parenthesis right, you'd just get a more restricted form of the second pattern....
-          // This is the normal/correct NP-internal preconjunct
-          "/^(?:NP(?:-TMP|-ADV)?|NX|NML)$/ < (PDT|CC|DT=target < /^(?i:both|neither|either)$/ $++ CC)",
-          "/^(?:NP(?:-TMP|-ADV)?|NX|NML)$/ < (CONJP=target < (RB < /^(?i:not)$/) < (RB|JJ < /^(?i:only|merely|just)$/) $++ CC|CONJP)",
-          // This matches weird/wrong NP-internal preconjuncts where you get (NP PDT (NP NP CC NP)) or similar
-          "/^(?:NP(?:-TMP|-ADV)?|NX|NML)$/ < (PDT|CC|DT=target < /^(?i:both|neither|either)$/) < (NP < CC)",
-          "S|VP|ADJP|PP|ADVP|UCP|NX|NML|SBAR < (PDT|DT|CC=target < /^(?i:both|neither|either)$/ $++ CC)",
-          "S|VP|ADJP|PP|ADVP|UCP|NX|NML|SBAR < (CONJP=target < (RB < /^(?i:not)$/) < (RB|JJ < /^(?i:only|merely|just)$/) $++ CC|CONJP)"
-        });
-  public static class PreconjunctGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "possession" grammatical relation between the possessum and the possessor.<p>
-   * </p>
-   * Examples: <br/>
-   * "their offices" &rarr;
-   * <code>poss</code>(offices, their)<br/>
-   * "Bill 's clothes" &rarr;
-   * <code>poss</code>(clothes, Bill)
-   */
-  public static final GrammaticalRelation POSSESSION_MODIFIER =
-    new GrammaticalRelation(Language.English, "poss", "possession modifier",
-        PossessionModifierGRAnnotation.class, MODIFIER, "(?:WH)?(NP|ADJP|INTJ|PRN|NAC|NX|NML)(?:-TMP|-ADV)?",
-        new String[] {
-          // possessive pronouns like "my", "whose"; [cdm 2010: Simplified; extra checks seemed unneeded (INTJ for "oh my god", though maybe it should really have internal NP....)
-          "/^(?:WH)?(?:ADJP|NP|INTJ|PRN|NAC|NX|NML)(?:-TMP|-ADV)?$/ < /^(?:W|PR)P\\$$/=target",
-          // basic NP possessive: we want to allow little conjunctions in head noun (NP (NP ... POS) NN CC NN) but not falsely match when there are conjoined NPs.  See tests.
-          "/^(?:WH)?(?:NP|NML)(?:-TMP|-ADV)?$/ [ < (/^(?:WH)?(?:NP|NML)$/=target [ < POS | < (VBZ < /^'s$/) ] ) !< (CC|CONJP $++ /^(?:WH)?(?:NP|NML)$/) |  < (/^(?:WH)?(?:NP|NML)$/=target < (CC|CONJP $++ /^(?:WH)?(?:NP|NML)$/) < (/^(?:WH)?(?:NP|NML)$/ [ < POS | < (VBZ < /^'s$/) ] )) ]",
-          // mediocrely handle a few too flat NPs
-          "/^(?:WH)?(?:NP|NML)(?:-TMP|-ADV)?$/ < (/^NN/=target $+ (POS < /'/ $++ /^NN/))"
-        });
-  public static class PossessionModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "possessive" grammatical relation.  This is the relation given to
-   * 's (or ' with plurals).<p>
-   * </p>
-   * Example: <br/>
-   * "John's book" &rarr;
-   * <code>possessive</code>(John, 's)
-   */
-  public static final GrammaticalRelation POSSESSIVE_MODIFIER =
-    new GrammaticalRelation(Language.English, "possessive", "possessive modifier",
-        PossessiveModifierGRAnnotation.class, MODIFIER, "(?:WH)?(?:NP|NML)(?:-TMP|-ADV)?",
-        new String[] {
-          "/^(?:WH)?(?:NP|NML)(?:-TMP|-ADV)?$/ < POS=target",
-          "/^(?:WH)?(?:NP|NML)(?:-TMP|-ADV)?$/ < (VBZ=target < /^'s$/)"
-        });
-  public static class PossessiveModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "prepositional modifier" grammatical relation.  A prepositional
-   * modifier of a verb, adjective, or noun is any prepositional phrase that serves to modify
-   * the meaning of the verb, adjective, or noun.
-   * We also generate prep modifiers of PPs to account for treebank (PP PP PP) constructions
-   * (from 1984 through 2002). <p>
-   * <p/>
-   * Examples: <br/>
-   * "I saw a cat in a hat" &rarr;
-   * <code>prep</code>(cat, in) <br/>
-   * "I saw a cat with a telescope" &rarr;
-   * <code>prep</code>(saw, with) <br/>
-   * "He is responsible for meals" &rarr;
-   * <code>prep</code>(responsible, for)
-   */
-  public static final GrammaticalRelation PREPOSITIONAL_MODIFIER =
-    new GrammaticalRelation(Language.English, "prep", "prepositional modifier",
-        PrepositionalModifierGRAnnotation.class, MODIFIER, "(?:WH)?(?:NP|PP|ADJP|ADVP|NX|NML)(?:-TMP|-ADV)?|VP|S|SINV|SQ|SBARQ|NAC",
-        new String[] {
-          "/^(?:(?:WH)?(?:NP|ADJP|ADVP|NX|NML)(?:-TMP|-ADV)?|VP|NAC|SQ)$/ < /^(?:WH)?PP(?:-TMP)?$/=target",
-          // only allow a PP < PP one if there is an NP or PP but not a conj under it.  Else pcomp
-          "/^(?:WH)?PP(?:-TMP|-ADV)?$/ < /^(?:WH)?PP(?:-TMP|-ADV)?$/=target < @NP|PP !< @CC|CONJP",
-          "S|SINV < (/^PP(?:-TMP)?$/=target !< SBAR) < VP|S",
-          "SBARQ < /^(?:WH)?PP/=target < SQ"
-        });
-  public static class PrepositionalModifierGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "phrasal verb particle" grammatical relation.  The "phrasal verb particle"
-   * relation identifies phrasal verb.<p>
-   * <p/>
-   * Example: <br/>
-   * "They shut down the station." &rarr;
-   * <code>prt</code>(shut, down)
-   */
-  public static final GrammaticalRelation PHRASAL_VERB_PARTICLE =
-    new GrammaticalRelation(Language.English, "prt", "phrasal verb particle",
-        PhrasalVerbParticleGRAnnotation.class, MODIFIER, "VP",
-        new String[] {
-          "VP < PRT=target"
-        });
-  public static class PhrasalVerbParticleGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-    /**
-   * The "parataxis" grammatical relation. Relation between the main verb of a sentence
-   * and other sentential elements, such as a sentential parenthetical, a sentence after a ":" or a ";"
-   * etc.
-   * <p> <p/>
-   * Examples: <br/>
-   * "The guy, John said, left early in the morning." &rarr; <code>parataxis</code>(left,said) <br/>
-   * "
-   */
-  public static final GrammaticalRelation PARATAXIS =
-    new GrammaticalRelation(Language.English, "parataxis", "parataxis",
-        ParataxisGRAnnotation.class, DEPENDENT, "S|VP",
-        new String[]{
-          "VP < (PRN=target < /^(?:S|SINV|SBAR)$/)", // parenthetical
-          "VP $ (PRN=target [ < S|SINV|SBAR | < VP < @NP ] )", // parenthetical
-          "S|VP < (/^:$/ $+ /^S/=target)",  // colon between sentences
-
-        });
-
-  public static class ParataxisGRAnnotation extends GrammaticalRelationAnnotation { }
-
-  /**
-   * The "semantic dependent" grammatical relation has been
-   * introduced as a supertype for the controlling subject relation.
-   */
-  public static final GrammaticalRelation SEMANTIC_DEPENDENT =
-    new GrammaticalRelation(Language.English, "sdep", "semantic dependent",
-        SemanticDependentGRAnnotation.class, DEPENDENT);
-  public static class SemanticDependentGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "controlling subject" grammatical relation.<p>
-   * A controlling subject is the relation between the head of an xcomp and the external subject
-   * of that clause.
-   * <p/>
-   * Example: <br/>
-   * "Tom likes to eat fish" &rarr;
-   * <code>xsubj</code>(eat, Tom)
-   */
-  public static final GrammaticalRelation CONTROLLING_SUBJECT =
-    new GrammaticalRelation(Language.English, "xsubj", "controlling subject",
-        ControllingSubjectGRAnnotation.class, SEMANTIC_DEPENDENT, "VP",
-        // cdm Nov 2009: I added/will add in a clause to do adjectives with complements like 'able', 'certain'
-        // These vectors are able to transcribe
-        // Nuclei were able to be fused
-        // The cells begin to fuse pairwise
-        // Ths gene seems to be regulated in a similar manner
-        new String[] {
-          "VP < TO > (S !$- NP !< NP !>> (VP < (VB|AUX < be)) >+(VP) (VP $-- NP=target))",
-          "VP < (" + stopKeepRegex + " $+ (VP=target < VBG))"
-          // An infinitive VP under (an S which isn't the right sister of a NP and doesn't contain an NP
-          // The next bit is probably to rule out predicative S with copula like:
-          // The idea would be to administer to patients growth-controlling proteins
-          // but having a >> is clearly too broad, and will rule out adjective cases which sometimes
-          // wrongly have the S as complement of the VP not the ADJP:
-          // 0044: (VP be (ADJP possible) (S to win))
-          // 0071: (VP be (ADJP interesting) (S to see))
-          // 0108: (VP be (ADJP easy) (S to conclude))
-        });
-  public static class ControllingSubjectGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  /**
-   * The "agent" grammatical relation. The agent of a passive VP
-   * is the complement introduced by "by" and doing the action.<p>
-   * <p/>
-   * Example: <br/>
-   * "The man has been killed by the police" &rarr;
-   * <code>agent</code>(killed, police)
-   */
-  public static final GrammaticalRelation AGENT =
-    new GrammaticalRelation(Language.English, "agent", "agent",
-        AgentGRAnnotation.class, DEPENDENT);
-  public static class AgentGRAnnotation extends GrammaticalRelationAnnotation { }
-
-
-  // TODO would be nice to have this set up automatically...
-  /**
-   * A list of GrammaticalRelation values.  New GrammaticalRelations must be
-   * added to this list (until we make this an enum!).
-   * The GR recognizers are tried in the order listed.  A taxonomic
-   * relationship trumps an ordering relationship, but otherwise, the first
-   * listed relation will appear in dependency output.  Known ordering
-   * constraints where both match include:
-   * <ul>
-   * <li>NUMERIC_MODIFIER &lt; ADJECTIVAL_MODIFIER
-   * </ul>
-   */
-  @SuppressWarnings({"RedundantArrayCreation"})
-  private static final List<GrammaticalRelation> values =
-    Generics.newArrayList(Arrays.asList(new GrammaticalRelation[] {
-      GOVERNOR,
-      DEPENDENT,
-      PREDICATE,
-      ATTRIBUTIVE,
-      AUX_MODIFIER,
-      AUX_PASSIVE_MODIFIER,
-      COPULA,
-      CONJUNCT,
-      COORDINATION,
-      PUNCTUATION,
-      ARGUMENT,
-      SUBJECT,
-      NOMINAL_SUBJECT,
-      NOMINAL_PASSIVE_SUBJECT,
-      CLAUSAL_SUBJECT,
-      CLAUSAL_PASSIVE_SUBJECT,
-      COMPLEMENT,
-      OBJECT,
-      DIRECT_OBJECT,
-      INDIRECT_OBJECT,
-      PREPOSITIONAL_OBJECT,
-      PREPOSITIONAL_COMPLEMENT,
-      CLAUSAL_COMPLEMENT,
-      XCLAUSAL_COMPLEMENT,
-      COMPLEMENTIZER,
-      MARKER,
-      RELATIVE,
-      REFERENT,
-      EXPLETIVE,
-      ADJECTIVAL_COMPLEMENT,
-      MODIFIER,
-      ADV_CLAUSE_MODIFIER,
-      TEMPORAL_MODIFIER,
-      RELATIVE_CLAUSE_MODIFIER,
-      NUMERIC_MODIFIER,
-      ADJECTIVAL_MODIFIER,
-      NOUN_COMPOUND_MODIFIER,
-      APPOSITIONAL_MODIFIER,
-      ABBREVIATION_MODIFIER,
-      PARTICIPIAL_MODIFIER,
-      INFINITIVAL_MODIFIER,
-      ADVERBIAL_MODIFIER,
-      NEGATION_MODIFIER,
-      MULTI_WORD_EXPRESSION,
-      DETERMINER,
-      PREDETERMINER,
-      PRECONJUNCT,
-      POSSESSION_MODIFIER,
-      POSSESSIVE_MODIFIER,
-      PREPOSITIONAL_MODIFIER,
-      PHRASAL_VERB_PARTICLE,
-      SEMANTIC_DEPENDENT,
-      CONTROLLING_SUBJECT,
-      AGENT,
-      NUMBER_MODIFIER,
-      PURPOSE_CLAUSE_MODIFIER,
-      QUANTIFIER_MODIFIER,
-      NP_ADVERBIAL_MODIFIER,
-      PARATAXIS
-    }));
-  /* Cache frequently used views of the values list */
-  private static final List<GrammaticalRelation> unmodifiableValues =
-    Collections.unmodifiableList(values);
-  private static final List<GrammaticalRelation> synchronizedValues =
-    Collections.synchronizedList(values);
-  private static final List<GrammaticalRelation> unmodifiableSynchronizedValues =
-    Collections.unmodifiableList(values);
-  public static final ReadWriteLock valuesLock = new ReentrantReadWriteLock();
-
-
-  public static List<GrammaticalRelation> values() {
-    return values(false);
-  }
-
-  public static List<GrammaticalRelation> values(boolean threadSafe) {
-    return threadSafe? unmodifiableSynchronizedValues : unmodifiableValues;
-  }
-
-  public static Lock valuesLock() {
-    return valuesLock.readLock();
-  }
-
-  /**
-   * This method is meant to be called when you want to add a relation
-   * to the values list in a thread-safe manner.  Currently, this method
-   * is always used in preference to values.add() because we expect to
-   * add new EnglishGrammaticalRelations very rarely, so the eased
-   * concurrency seems to outweigh the fairly slight cost of thread-safe
-   * access.
-   * @param relation the relation to be added to the values list
-   */
-  private static void threadSafeAddRelation(GrammaticalRelation relation) {
-    valuesLock.writeLock().lock();
-    try { // try-finally structure taken from Javadoc code sample for ReentrantReadWriteLock
-      synchronizedValues.add(relation);
-    } finally {
-      valuesLock.writeLock().unlock();
-    }
-  }
-
-
-
-  // the exhaustive list of conjunction relations
-  private static final Map<String, GrammaticalRelation> conjs = Generics.newHashMap();
-
-  public static Collection<GrammaticalRelation> getConjs() {
-    return conjs.values();
-  }
-
-  /**
-   * The "conj" grammatical relation. Used to collapse conjunct relations.
-   * They will be turned into conj_word, where "word" is a conjunction.
-   *
-   * NOTE: Because these relations lack associated GrammaticalRelationAnnotations,
-   *       they cannot be arcs of a TreeGraphNode.
-   *
-   * @param conjunctionString The conjunction to make a GrammaticalRelation out of
-   * @return A grammatical relation for this conjunction
-   */
-  public static GrammaticalRelation getConj(String conjunctionString) {
-    GrammaticalRelation result = conjs.get(conjunctionString);
-    if (result == null) {
-      result = new GrammaticalRelation(Language.English, "conj", "conj_collapsed", null, CONJUNCT, conjunctionString);
-      conjs.put(conjunctionString, result);
-      threadSafeAddRelation(result);
-    }
-    return result;
-  }
-
-  // the exhaustive list of preposition relations
-  private static final Map<String, GrammaticalRelation> preps = Generics.newHashMap();
-  private static final Map<String, GrammaticalRelation> prepsC = Generics.newHashMap();
-
-
-  public static Collection<GrammaticalRelation> getPreps() {
-    return preps.values();
-  }
-
-  public static Collection<GrammaticalRelation> getPrepsC() {
-    return prepsC.values();
-  }
-
-
-  /**
-   * The "prep" grammatical relation. Used to collapse prepositions.<p>
-   * They will be turned into prep_word, where "word" is a preposition
-   *
-   * NOTE: Because these relations lack associated GrammaticalRelationAnnotations,
-   *       they cannot be arcs of a TreeGraphNode.
-   *
-   * @param prepositionString The preposition to make a GrammaticalRelation out of
-   * @return A grammatical relation for this preposition
-   */
-  public static GrammaticalRelation getPrep(String prepositionString) {
-    GrammaticalRelation result = preps.get(prepositionString);
-    if (result == null) {
-      result = new GrammaticalRelation(Language.English, "prep", "prep_collapsed", null, PREPOSITIONAL_MODIFIER, prepositionString);
-      preps.put(prepositionString, result);
-      threadSafeAddRelation(result);
-    }
-    return result;
-  }
-
-
-  /**
-   * The "prepc" grammatical relation. Used to collapse preposition
-   * complements.<p>
-   * They will be turned into prep_word, where "word" is a preposition
-   *
-   * NOTE: Because these relations lack associated GrammaticalRelationAnnotations,
-   *       they cannot be arcs of a TreeGraphNode.
-   *
-   * @param prepositionString The preposition to make a GrammaticalRelation out of
-   * @return A grammatical relation for this preposition
-   */
-  public static GrammaticalRelation getPrepC(String prepositionString) {
-    GrammaticalRelation result = prepsC.get(prepositionString);
-    if (result == null) {
-      result = new GrammaticalRelation(Language.English, "prepc", "prepc_collapsed", null, DEPENDENT, prepositionString);
-      prepsC.put(prepositionString, result);
-      threadSafeAddRelation(result);
-    }
-    return result;
-  }
-
-
-  /**
-   * Returns the EnglishGrammaticalRelation having the given string
-   * representation (e.g. "nsubj"), or null if no such is found.
-   *
-   * @param s The short name of the GrammaticalRelation
-   * @return The EnglishGrammaticalRelation with that name
-   */
-  public static GrammaticalRelation valueOf(String s) {
-    return GrammaticalRelation.valueOf(s, values);
-
-//    // TODO does this need to be changed?
-//    // modification NOTE: do not commit until go-ahead
-//    // If this is a collapsed relation (indicated by a "_" separating
-//    // the type and the dependent, instantiate a collapsed version.
-//    // Currently handcode against conjunctions and prepositions, but
-//    // should do this in a more robust fashion.
-//    String[] tuples = s.trim().split("_", 2);
-//    if (tuples.length == 2) {
-//      String reln = tuples[0];
-//      String specific = tuples[1];
-//      if (reln.equals(PREPOSITIONAL_MODIFIER.getShortName())) {
-//        return getPrep(specific);
-//      } else if (reln.equals(CONJUNCT.getShortName())) {
-//        return getConj(specific);
-//      }
-//    }
-//
-//    return null;
-  }
-
-  /**
-   * Returns an EnglishGrammaticalRelation based on the argument.
-   * It works if passed a GrammaticalRelation or the String
-   * representation of one (e.g. "nsubj").  It returns <code>null</code>
-   * for other classes or if no string match is found.
-   *
-   * @param o A GrammaticalRelation or String
-   * @return The EnglishGrammaticalRelation with that name
-   */
-  @SuppressWarnings("unchecked")
-  public static GrammaticalRelation valueOf(Object o) {
-    if (o instanceof GrammaticalRelation) {
-      return (GrammaticalRelation) o;
-    } else if (o instanceof Class) {
-      try {
-        return getRelation((Class<? extends GrammaticalRelationAnnotation>) o);
-      } catch (Exception e) {
-        return null;
-      }
-    } else if (o instanceof String) {
-      return valueOf((String) o);
-    } else {
-      return null;
-    }
-  }
-
-  /**
-   * Prints out the English grammatical relations hierarchy.
-   * See <code>EnglishGrammaticalStructure</code> for a main method that
-   * will print the grammatical relations of a sentence or tree.
-   *
-   * @param args Args are ignored.
-   */
-  public static void main(String[] args) {
-    System.out.println(DEPENDENT.toPrettyString());
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/GrammaticalRelation.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/GrammaticalRelation.java
deleted file mode 100644
index 9904bbe..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/GrammaticalRelation.java
+++ /dev/null
@@ -1,499 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.CoreAnnotation;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-import edu.stanford.nlp.trees.tregex.TregexPattern;
-import edu.stanford.nlp.util.Generics;
-import edu.stanford.nlp.util.StringUtils;
-
-import java.io.Serializable;
-import java.util.*;
-import java.util.regex.Pattern;
-
-
-/**
- * <code>GrammaticalRelation</code> is used to define a
- * standardized, hierarchical set of grammatical relations,
- * together with patterns for identifying them in
- * parse trees.<p>
- *
- * Each <code>GrammaticalRelation</code> has:
- * <ul>
- *   <li>A <code>String</code> short name, which should be a lowercase
- *       abbreviation of some kind.</li>
- *   <li>A <code>String</code> long name, which should be descriptive.</li>
- *   <li>A parent in the <code>GrammaticalRelation</code> hierarchy.</li>
- *   <li>A {@link Pattern <code>Pattern</code>} called
- *   <code>sourcePattern</code> which matches (parent) nodes from which
- *   this <code>GrammaticalRelation</code> could hold.  (Note: this is done
- *   with the Java regex Pattern <code>matches()</code> predicate: the pattern
- *   must match the
- *   whole node name, and <code>^</code> or <code>$</code> aren't needed.
- *   Tregex constructions like __ do not work. Use ".*" to be applicable
- *   at all nodes.)</li>
- *   <li>A list of zero or more {@link TregexPattern
- *   <code>TregexPattern</code>s} called <code>targetPatterns</code>,
- *   which describe the local tree structure which must hold between
- *   the source node and a target node for the
- *   <code>GrammaticalRelation</code> to apply. (Note <code>tregex</code>
- *   regular expressions match with the <code>find()</code> method - though
- *   literal string label descriptions that are not regular expressions must
- *   be <code>equals()</code>.)</li>
- * </ul>
- *
- * The <code>targetPatterns</code> associated
- * with a <code>GrammaticalRelation</code> are designed as follows.
- * In order to recognize a grammatical relation X holding between
- * nodes A and B in a parse tree, we want to associate with
- * <code>GrammaticalRelation</code> X a {@link TregexPattern
- * <code>TregexPattern</code>} such that:
- * <ul>
- *   <li>the root of the pattern matches A, and</li>
- *   <li>the pattern includes a special node label, "target", which matches B.</li>
- * </ul>
- * For example, for the grammatical relation <code>PREDICATE</code>
- * which holds between a clause and its primary verb phrase, we might
- * want to use the pattern <code>"S < VP=target"</code>, in which the
- * root will match a clause and the node labeled <code>"target"</code>
- * will match the verb phrase.<p>
- *
- * For a given grammatical relation, the method {@link
- * GrammaticalRelation#getRelatedNodes <code>getRelatedNodes()</code>}
- * takes a <code>Tree</code> node as an argument and attempts to
- * return other nodes which have this grammatical relation to the
- * argument node.  By default, this method operates as follows: it
- * steps through the patterns in the pattern list, trying to match
- * each pattern against the argument node, until it finds some
- * matches.  If a pattern matches, all matching nodes (that is, each
- * node which corresponds to node label "target" in some match) are
- * returned as a list; otherwise the next pattern is tried.<p>
- *
- * For some grammatical relations, we need more sophisticated logic to
- * identify related nodes.  In such cases, {@link
- * GrammaticalRelation#getRelatedNodes <code>getRelatedNodes()</code>}
- * can be overridden on a per-relation basis using anonymous subclassing.<p>
- *
- * @see GrammaticalStructure
- * @see EnglishGrammaticalStructure
- * @see EnglishGrammaticalRelations
- * @see edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
- *
- * @author Bill MacCartney
- * @author Galen Andrew (refactoring English-specific stuff)
- * @author Ilya Sherman (refactoring annotation-relation pairing)
- */
-public class GrammaticalRelation implements Comparable<GrammaticalRelation>, Serializable {
-
-  private static final long serialVersionUID = 892618003417550128L;
-
-  public abstract static class GrammaticalRelationAnnotation implements CoreAnnotation<Set<TreeGraphNode>> {
-    @SuppressWarnings({"unchecked", "RedundantCast"})
-    public Class<Set<TreeGraphNode>> getType() {  return (Class) Set.class; }
-  }
-
-  private static Map<Class<? extends GrammaticalRelationAnnotation>, GrammaticalRelation>
-    annotationsToRelations = Generics.newHashMap();
-  private static Map<GrammaticalRelation, Class<? extends GrammaticalRelationAnnotation>>
-    relationsToAnnotations = Generics.newHashMap();
-  private static EnumMap<Language, Map<String, GrammaticalRelation>>
-    stringsToRelations = new EnumMap<Language, Map<String, GrammaticalRelation>>(Language.class);
-
-  /**
-   * The "governor" grammatical relation, which is the inverse of "dependent".<p>
-   * <p/>
-   * Example: "the red car" &rarr; <code>gov</code>(red, car)
-   */
-  public static final GrammaticalRelation GOVERNOR =
-    new GrammaticalRelation(Language.Any, "gov", "governor", GovernorGRAnnotation.class, null);
-
-  public static class GovernorGRAnnotation extends GrammaticalRelationAnnotation { }
-
-  /**
-   * The "dependent" grammatical relation, which is the inverse of "governor".<p>
-   * <p/>
-   * Example: "the red car" &rarr; <code>dep</code>(car, red)
-   */
-  public static final GrammaticalRelation DEPENDENT =
-    new GrammaticalRelation(Language.Any, "dep", "dependent", DependentGRAnnotation.class, null);
-
-  public static class DependentGRAnnotation extends GrammaticalRelationAnnotation{ }
-
-  /**
-   *  The "root" grammatical relation between a faked "ROOT" node, and the root of the sentence.
-   */
-  public static final GrammaticalRelation ROOT =
-    new GrammaticalRelation(Language.Any, "root", "root", RootGRAnnotation.class, null);
-
-  public static class RootGRAnnotation extends GrammaticalRelationAnnotation{ }
-
-  /**
-   * Dummy relation, used while collapsing relations, in English &amp; Chinese GrammaticalStructure
-   */
-  public static final GrammaticalRelation KILL =
-    new GrammaticalRelation(Language.Any, "KILL", "dummy relation kill", KillGRAnnotation.class, null);
-
-  public static class KillGRAnnotation extends GrammaticalRelationAnnotation { }
-
-  public static Class<? extends GrammaticalRelationAnnotation>
-  getAnnotationClass(GrammaticalRelation relation) {
-    return relationsToAnnotations.get(relation);
-  }
-
-  public static GrammaticalRelation
-  getRelation(Class<? extends GrammaticalRelationAnnotation> annotation) {
-    return annotationsToRelations.get(annotation);
-  }
-
-  /**
-   * Returns the GrammaticalRelation having the given string
-   * representation (e.g. "nsubj"), or null if no such is found.
-   *
-   * @param s The short name of the GrammaticalRelation
-   * @param values The set of GrammaticalRelations to look for it among.
-   * @return The GrammaticalRelation with that name
-   */
-  public static GrammaticalRelation valueOf(String s, Collection<GrammaticalRelation> values) {
-    for (GrammaticalRelation reln : values) {
-      if (reln.toString().equals(s)) return reln;
-    }
-
-    return null;
-  }
-
-  /** Convert from a String representation of a GrammaticalRelation to a
-   *  GrammaticalRelation.  Where possible, you should avoid using this
-   *  method and simply work with true GrammaticalRelations rather than
-   *  String representations.  Correct behavior of this method depends
-   *  on the underlying data structure resources used being kept in sync
-   *  with the toString() and equals() methods.  However, there is really
-   *  no choice but to use this method when storing GrammaticalRelations
-   *  to text files and then reading them back in, so this method is not
-   *  deprecated.
-   *
-   *  @param s The String representation of a GrammaticalRelation
-   *  @return The grammatical relation represented by this String
-   */
-  public static GrammaticalRelation valueOf(Language language, String s) {
-    GrammaticalRelation reln = (stringsToRelations.get(language) != null ? valueOf(s, stringsToRelations.get(language).values()) : null);
-    if (reln == null) {
-      // TODO this breaks the hierarchical structure of the classes,
-      //      but it makes English relations that much likelier to work.
-      reln = EnglishGrammaticalRelations.valueOf(s);
-    }
-    if (reln == null) {
-      // the block below fails when 'specific' includes underscores.
-      // this is possible on weird web text, which generates relations such as prep______ 
-      /*
-      String[] names = s.split("_");
-      String specific = names.length > 1? names[1] : null;
-      reln = new GrammaticalRelation(language, names[0], null, null, null, specific);
-      */
-      String name = s;
-      String specific = null;
-      int underscorePosition = s.indexOf('_');
-      if(underscorePosition > 0){
-        name = s.substring(0, underscorePosition);
-        specific = s.substring(underscorePosition + 1);
-      }
-      reln = new GrammaticalRelation(language, name, null, null, null, specific);
-      
-    }
-    return reln;
-  }
-
-  public static GrammaticalRelation valueOf(String s) {
-    return valueOf(Language.English, s);
-  }
-
-  /**
-   * This function is used to determine whether the GrammaticalRelation in
-   * question is one that was created to be a thin wrapper around a String
-   * representation by valueOf(String), or whether it is a full-fledged
-   * GrammaticalRelation created by direct invocation of the constructor.
-   * @return Whether this relation is just a wrapper created by valueOf(String)
-   */
-  public boolean isFromString() {
-    return longName == null;
-  }
-
-
-  public enum Language { Any, English, Chinese }
-
-
-  /* Non-static stuff */
-  private final Language language;
-  private final String shortName;
-  private final String longName;
-  private final GrammaticalRelation parent;
-  private final List<GrammaticalRelation> children = new ArrayList<GrammaticalRelation>();
-  // a regexp for node values at which this relation can hold
-  private final Pattern sourcePattern;
-  private final List<TregexPattern> targetPatterns = new ArrayList<TregexPattern>();
-  private final String specific; // to hold the specific prep or conjunction associated with the grammatical relation
-
-  // TODO document constructor
-  public GrammaticalRelation(Language language,
-                             String shortName,
-                             String longName,
-                             Class<? extends GrammaticalRelationAnnotation> annotation,
-                             GrammaticalRelation parent,
-                             String sourcePattern,
-                             String[] targetPatterns,
-                             String specificString) {
-    this.language = language;
-    this.shortName = shortName;
-    this.longName = longName;
-    this.parent = parent;
-    this.specific = specificString; // this can be null!
-
-    if (parent != null) {
-      parent.addChild(this);
-    }
-
-    if (annotation != null) {
-      if (GrammaticalRelation.annotationsToRelations.put(annotation, this) != null) {
-        throw new IllegalArgumentException("Annotation cannot be associated with more than one relation!");
-      }
-      if (GrammaticalRelation.relationsToAnnotations.put(this, annotation) != null) {
-        throw new IllegalArgumentException("There should only ever be one instance of each relation!");
-      }
-    }
-
-    if (sourcePattern != null) {
-      try {
-        this.sourcePattern = Pattern.compile(sourcePattern);
-      } catch (java.util.regex.PatternSyntaxException e) {
-        throw new RuntimeException("Bad pattern: " + sourcePattern);
-      }
-    } else {
-      this.sourcePattern = null;
-    }
-
-    for (String pattern : targetPatterns) {
-      try {
-        TregexPattern p = TregexPattern.compile(pattern);
-        this.targetPatterns.add(p);
-      } catch (edu.stanford.nlp.trees.tregex.ParseException pe) {
-        throw new RuntimeException("Bad pattern: " + pattern, pe);
-      }
-    }
-
-    Map<String, GrammaticalRelation> sToR = stringsToRelations.get(language);
-    if (sToR == null) {
-      sToR = new HashMap<String, GrammaticalRelation>();
-      stringsToRelations.put(language, sToR);
-    }
-    GrammaticalRelation previous = sToR.put(toString(), this);
-    if (previous != null) {
-      if (!previous.isFromString()) {
-        throw new IllegalArgumentException("There is already a relation named " + toString() + '!');
-      } else {
-        /* We get here if we previously just built a fake relation from a string
-         * we previously read in from a file.
-         */
-        // TODO is it worth copying all of the information from this real
-        //      relation into the old fake one?
-      }
-    }
-  }
-
-  public GrammaticalRelation(Language language,
-                             String shortName,
-                             String longName,
-                             Class<? extends GrammaticalRelationAnnotation> annotation,
-                             GrammaticalRelation parent,
-                             String sourcePattern,
-                             String[] targetPatterns) {
-    this(language, shortName, longName, annotation, parent, sourcePattern, targetPatterns, null);
-  }
-
-  public GrammaticalRelation(Language language,
-                             String shortName,
-                             String longName,
-                             Class<? extends GrammaticalRelationAnnotation> annotation,
-                             GrammaticalRelation parent) {
-    this(language, shortName, longName, annotation, parent, null, StringUtils.EMPTY_STRING_ARRAY, null);
-  }
-
-  public GrammaticalRelation(Language language,
-                             String shortName,
-                             String longName,
-                             Class<? extends GrammaticalRelationAnnotation> annotation,
-                             GrammaticalRelation parent,
-                             String specificString) {
-    this(language, shortName, longName, annotation, parent, null, StringUtils.EMPTY_STRING_ARRAY, specificString);
-  }
-
-  private void addChild(GrammaticalRelation child) {
-    children.add(child);
-  }
-
-  /** Given a <code>Tree</code> node <code>t</code>, attempts to
-   *  return a list of nodes to which node <code>t</code> has this
-   *  grammatical relation.
-   *
-   *  @param t Target for finding governors of t related by this GR
-   *  @param root The root of the Tree
-   *  @return Governor nodes to which t bears this GR
-   */
-  public Collection<Tree> getRelatedNodes(Tree t, Tree root) {
-    if (root.value() == null) {
-      root.setValue("ROOT");  // todo: cdm: it doesn't seem like this line should be here
-    }
-    Set<Tree> nodeList = new LinkedHashSet<Tree>();
-    for (TregexPattern p : targetPatterns) {    // cdm: I deleted: && nodeList.isEmpty()
-      TregexMatcher m = p.matcher(root);
-      while (m.find()) {
-        if (m.getMatch() == t) {
-          nodeList.add(m.getNode("target"));
-          //System.out.println("found " + this + "(" + t + ", " + m.getNode("target") + ")");
-        }
-      }
-    }
-    return nodeList;
-  }
-
-  /** Returns <code>true</code> iff the value of <code>Tree</code>
-   *  node <code>t</code> matches the <code>sourcePattern</code> for
-   *  this <code>GrammaticalRelation</code>, indicating that this
-   *  <code>GrammaticalRelation</code> is one that could hold between
-   *  <code>Tree</code> node <code>t</code> and some other node.
-   */
-  public boolean isApplicable(Tree t) {
-    // System.err.println("Testing whether " + sourcePattern + " matches " + ((TreeGraphNode) t).toOneLineString());
-    return (sourcePattern != null) && (t.value() != null) &&
-             sourcePattern.matcher(t.value()).matches();
-  }
-
-  /** Returns whether this is equal to or an ancestor of gr in the grammatical relations hierarchy. */
-  public boolean isAncestor(GrammaticalRelation gr) {
-    while (gr != null) {
-      // Changed this test from this == gr (mrsmith)
-      if (this.equals(gr)) { return true; }
-      gr = gr.parent;
-    }
-    return false;
-  }
-
-  /**
-   * Returns short name (abbreviation) for this
-   * <code>GrammaticalRelation</code>.
-   *
-   * <i>Implementation note:</i> Note that this method must be synced with
-   * the equals() and valueOf(String) methods
-   */
-  @Override
-  public final String toString() {
-    if (specific == null) {
-      return shortName;
-    } else {
-      return shortName + '_' + specific;
-    }
-  }
-
-  /**
-   * Returns a <code>String</code> representation of this
-   * <code>GrammaticalRelation</code> and the hierarchy below
-   * it, with one node per line, indented according to level.
-   *
-   * @return <code>String</code> representation of this
-   *         <code>GrammaticalRelation</code>
-   */
-  public String toPrettyString() {
-    StringBuilder buf = new StringBuilder("\n");
-    toPrettyString(0, buf);
-    return buf.toString();
-  }
-
-  /**
-   * Returns a <code>String</code> representation of this
-   * <code>GrammaticalRelation</code> and the hierarchy below
-   * it, with one node per line, indented according to
-   * <code>indentLevel</code>.
-   *
-   * @param indentLevel how many levels to indent (0 for root node)
-   *
-   */
-  private void toPrettyString(int indentLevel, StringBuilder buf) {
-    for (int i = 0; i < indentLevel; i++) {
-      buf.append("  ");
-    }
-    buf.append(shortName).append(": ").append(targetPatterns);
-    for (GrammaticalRelation child : children) {
-      buf.append('\n');
-      child.toPrettyString(indentLevel + 1, buf);
-    }
-  }
-
-  /** Grammatical relations are equal with other grammatical relations if they
-   *  have the same shortName and specific (if present).
-   *  <i>Implementation note:</i> Note that this method must be synced with
-   *  the toString() and valueOf(String) methods
-   *
-   *  @param o Object to be compared
-   *  @return Whether equal
-   */
-  @SuppressWarnings({"StringEquality", "ThrowableInstanceNeverThrown"})
-  @Override
-  public boolean equals(Object o) {
-    if (this == o) return true;
-    if (o instanceof String) {
-      // TODO: Remove this. It's broken but was meant to cover legacy code. It would be correct to just return false.
-      new Throwable("Warning: comparing GrammaticalRelation to String").printStackTrace();
-      return this.toString().equals(o);
-    }
-    if (!(o instanceof GrammaticalRelation)) return false;
-
-    final GrammaticalRelation gr = (GrammaticalRelation) o;
-    return (this.language.equals(gr.language) &&
-            this.shortName.equals(gr.shortName) &&
-            (this.specific == gr.specific ||
-             (this.specific != null && this.specific.equals(gr.specific))));
-  }
-
-  @Override
-  public int hashCode() {
-    int result = 17;
-    result = 29 * result + (language != null ? language.hashCode() : 0);
-    result = 29 * result + (shortName != null ? shortName.hashCode() : 0);
-    result = 29 * result + (specific != null ? specific.hashCode() : 0);
-    return result;
-  }
-
-  public int compareTo(GrammaticalRelation o) {
-    String thisN = this.toString();
-    String oN = o.toString();
-    return thisN.compareTo(oN);
-  }
-
-  public String getLongName() {
-    return longName;
-  }
-
-  public String getShortName() {
-    return shortName;
-  }
-
-  public String getSpecific() {
-    return specific;
-  }
-
-  /**
-   * Returns the parent of this <code>GrammaticalRelation</code>.
-   */
-  public GrammaticalRelation getParent() {
-    return parent;
-  }
-
-  public static void main(String[] args) {
-    final String[] names = {"dep", "pred", "prep_to","rcmod"};
-    for (String name : names) {
-      GrammaticalRelation reln = valueOf(Language.English, name);
-      System.out.println("Data for GrammaticalRelation loaded as valueOf(\"" + name + "\"):");
-      System.out.println("\tShort name:    " + reln.getShortName());
-      System.out.println("\tLong name:     " + reln.getLongName());
-      System.out.println("\tSpecific name: " + reln.getSpecific());
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/GrammaticalStructure.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/GrammaticalStructure.java
deleted file mode 100644
index 1a60338..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/GrammaticalStructure.java
+++ /dev/null
@@ -1,707 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.CoreAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations;
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.Word;
-import edu.stanford.nlp.trees.GrammaticalRelation.GrammaticalRelationAnnotation;
-import edu.stanford.nlp.trees.TreeCoreAnnotations.HeadTagAnnotation;
-import edu.stanford.nlp.trees.TreeCoreAnnotations.HeadWordAnnotation;
-import edu.stanford.nlp.util.Filter;
-import edu.stanford.nlp.util.Generics;
-
-import java.util.*;
-import java.util.concurrent.locks.Lock;
-
-import static edu.stanford.nlp.trees.GrammaticalRelation.GOVERNOR;
-import static edu.stanford.nlp.trees.GrammaticalRelation.ROOT;
-
-
-
-
-/**
- * A <code>GrammaticalStructure</code> is a {@link TreeGraph
- * <code>TreeGraph</code>} (that is, a tree with additional labeled
- * arcs between nodes) for representing the grammatical relations in a
- * parse tree.  A new <code>GrammaticalStructure</code> is constructed
- * from an existing parse tree with the help of {@link
- * GrammaticalRelation <code>GrammaticalRelation</code>}, which
- * defines a hierarchy of grammatical relations, along with
- * patterns for identifying them in parse trees.  The constructor for
- * <code>GrammaticalStructure</code> uses these definitions to
- * populate the new <code>GrammaticalStructure</code> with as many
- * labeled grammatical relations as it can.  Once constructed, the new
- * <code>GrammaticalStructure</code> can be printed in various
- * formats, or interrogated using the interface methods in this
- * class.
- * <p/>
- * <b>Caveat emptor!</b> This is a work in progress.
- * Nothing in here should be relied upon to function perfectly.
- * Feedback welcome.
- *
- * @author Bill MacCartney
- * @author Galen Andrew (refactoring English-specific stuff)
- * @author Ilya Sherman (dependencies)
- * @see EnglishGrammaticalRelations
- * @see GrammaticalRelation
- * @see EnglishGrammaticalStructure
- */
-public abstract class GrammaticalStructure extends TreeGraph {
-
-  private static final boolean PRINT_DEBUGGING = false;
-
-  protected final Set<Dependency<Label, Label, Object>> dependencies;
-  protected final List<TypedDependency> typedDependencies;
-  protected final List<TypedDependency> allTypedDependencies;
-
-  /**
-   * Create a new GrammaticalStructure, analyzing the parse tree and
-   * populate the GrammaticalStructure with as many labeled
-   * grammatical relation arcs as possible.
-   *
-   * @param t             A Tree to analyze
-   * @param relations     A set of GrammaticalRelations to consider
-   * @param relationsLock Something needed to make this thread-safe
-   * @param hf            A HeadFinder for analysis
-   * @param puncFilter    A Filter to reject punctuation. To delete punctuation
-   *                      dependencies, this filter should return false on
-   *                      punctuation word strings, and true otherwise.
-   *                      If punctuation dependencies should be kept, you
-   *                      should pass in a Filters.&lt;String&gt;acceptFilter().
-   */
-  public GrammaticalStructure(Tree t, Collection<GrammaticalRelation> relations,
-                              Lock relationsLock, HeadFinder hf, Filter<String> puncFilter) {
-    super(t); // makes a Tree with TreeGraphNode nodes
-    // add head word and tag to phrase nodes
-    root.percolateHeads(hf);
-    // add dependencies, using heads
-    NoPunctFilter puncDepFilter = new NoPunctFilter(puncFilter);
-    NoPunctTypedDependencyFilter puncTypedDepFilter = new NoPunctTypedDependencyFilter(puncFilter);
-    dependencies = root.dependencies(puncDepFilter);
-    for (Dependency<Label, Label, Object> p : dependencies) {
-      //System.out.println("first dep found " + p);
-      TreeGraphNode gov = (TreeGraphNode) p.governor();
-      TreeGraphNode dep = (TreeGraphNode) p.dependent();
-      dep.addArc(GrammaticalRelation.getAnnotationClass(GOVERNOR), gov);
-    }
-    // analyze the root (and its descendants, recursively)
-    if (relationsLock != null) {
-      relationsLock.lock();
-    }
-    try {
-      analyzeNode(root, root, relations);
-    }
-    finally {
-      if (relationsLock != null) {
-        relationsLock.unlock();
-      }
-    }
-    // add typed dependencies
-    typedDependencies = getDeps(false, puncTypedDepFilter);
-    allTypedDependencies = getDeps(true, puncTypedDepFilter);
-  }
-
-  public GrammaticalStructure(List<TypedDependency> projectiveDependencies, TreeGraphNode root) {
-    super(root);
-    allTypedDependencies = typedDependencies = new ArrayList<TypedDependency>(projectiveDependencies);
-    dependencies = new HashSet<Dependency<Label, Label, Object>>();
-    for (TypedDependency tdep : projectiveDependencies) {
-      dependencies.add(new NamedDependency(tdep.gov().toString(), tdep.dep().toString(), tdep.reln()));
-    }
-  }
-
-  public GrammaticalStructure(Tree t, Collection<GrammaticalRelation> relations,
-                              HeadFinder hf, Filter<String> puncFilter) {
-    this(t, relations, null, hf, puncFilter);
-  }
-
-  // @Override
-  // public String toString() {
-    // StringBuilder sb = new StringBuilder(super.toString());
-    //    sb.append("Dependencies:");
-    //    sb.append("\n" + dependencies);
-    //    sb.append("Typed Dependencies:");
-    //    sb.append("\n" + typedDependencies);
-    //    sb.append("More Typed Dependencies:");
-    //    sb.append("\n" + moreTypedDependencies());
-    // return sb.toString();
-  // }
-
-
-  // cdm dec 2009: I changed this to automatically fail on preterminal nodes, since they shouldn't match for GR parent patterns.  Should speed it up.
-  private static void analyzeNode(TreeGraphNode t, TreeGraphNode root, Collection<GrammaticalRelation> relations) {
-    // if (t.numChildren() > 0) {          // don't do leaves
-    if (t.isPhrasal()) {    // don't do leaves or preterminals!
-      TreeGraphNode tHigh = t.highestNodeWithSameHead();
-      for (GrammaticalRelation egr : relations) {
-        if (egr.isApplicable(t)) {
-          for (Tree u : egr.getRelatedNodes(t, root)) {
-            tHigh.addArc(GrammaticalRelation.getAnnotationClass(egr), (TreeGraphNode) u);
-          }
-        }
-      }
-      // now recurse into children
-      for (TreeGraphNode kid : t.children()) {
-        analyzeNode(kid, root, relations);
-      }
-    }
-  }
-
-
-  /**
-   * The constructor builds a list of typed dependencies using
-   * information from a <code>GrammaticalStructure</code>.
-   *
-   * @param getExtra If true, the list of typed dependencies will contain extra ones.
-   *              If false, the list of typed dependencies will respect the tree structure.
-   */
-  private List<TypedDependency> getDeps(boolean getExtra, Filter<TypedDependency> f) {
-    List<TypedDependency> basicDep = Generics.newArrayList();
-
-    for (Dependency<Label, Label, Object> d : dependencies()) {
-      TreeGraphNode gov = (TreeGraphNode) d.governor();
-      TreeGraphNode dep = (TreeGraphNode) d.dependent();
-        //System.out.println("Gov: " + gov);
-        //System.out.println("Dep: " + dep);
-      GrammaticalRelation reln = getGrammaticalRelation(gov, dep);
-        //System.out.println("Reln: " + reln);
-      basicDep.add(new TypedDependency(reln, gov, dep));
-    }
-
-    // add the root
-    Collection<TypedDependency> roots = getRoots(basicDep);
-    assert(roots.size() == 1);
-    TreeGraphNode root = new TreeGraphNode(new Word("ROOT"));
-    root.setIndex(0);
-    Iterator<TypedDependency> iterator = roots.iterator();
-    if (iterator.hasNext()) {
-
-      TreeGraphNode rootDep = (iterator.hasNext() ?
-                               iterator.next().gov() : null);
-      basicDep.add(new TypedDependency(ROOT, root, rootDep));
-    }
-
-    if (getExtra) {
-      TreeGraphNode rootTree = root();
-      getDep(rootTree, basicDep, f); // adds stuff to basicDep
-    }
-    Collections.sort(basicDep);
-
-    return basicDep;
-  }
-
-
-  /** Look through the tree t and adds to the List basicDep dependencies
-   *  which aren't in it but which satisfy the filter f.
-   *
-   * @param t The tree to examine (not changed)
-   * @param basicDep The list of dependencies which may be augmented
-   * @param f Additional dependencies are added only if they pass this filter
-   */
-  private static void getDep(TreeGraphNode t, List<TypedDependency> basicDep,
-                             Filter<TypedDependency> f) {
-    if (t.isPhrasal()) {          // don't do leaves of POS tags (chris changed this from numChildren > 0 in 2010)
-      Map<Class<? extends CoreAnnotation>, Set<TreeGraphNode>> depMap = getAllDependents(t);
-      for (Class<? extends CoreAnnotation> depName : depMap.keySet()) {
-        for (TreeGraphNode depNode : depMap.get(depName)) {
-          TreeGraphNode gov = t.headWordNode();
-          TreeGraphNode dep = depNode.headWordNode();
-          if (gov != dep) {
-            List<GrammaticalRelation> rels = getListGrammaticalRelation(t, depNode);
-            if (!rels.isEmpty()) {
-              for (GrammaticalRelation rel : rels) {
-                TypedDependency newDep = new TypedDependency(rel, gov, dep);
-                if (!basicDep.contains(newDep) && f.accept(newDep)) {
-                  newDep.setExtra();
-                  basicDep.add(newDep);
-                }
-              }
-            }
-          }
-        }
-      }
-      // now recurse into children
-      for (Tree kid : t.children()) {
-        getDep((TreeGraphNode) kid, basicDep, f);
-      }
-    }
-  }
-
-  private static class NoPunctFilter implements Filter<Dependency<Label, Label, Object>> {
-    private Filter<String> npf;
-
-    NoPunctFilter(Filter<String> f) {
-      this.npf = f;
-    }
-
-    public boolean accept(Dependency<Label, Label, Object> d) {
-      if (d == null) {
-        return false;
-      }
-      Label lab = d.dependent();
-      if (lab == null) {
-        return false;
-      }
-      return npf.accept(lab.value());
-    }
-
-    // Automatically generated by Eclipse
-    private static final long serialVersionUID = -2319891944796663180L;
-  } // end static class NoPunctFilter
-
-
-  private static class NoPunctTypedDependencyFilter implements Filter<TypedDependency> {
-    private Filter<String> npf;
-
-    NoPunctTypedDependencyFilter(Filter<String> f) {
-      this.npf = f;
-    }
-
-    public boolean accept(TypedDependency d) {
-      if (d == null) return false;
-
-      TreeGraphNode s = d.dep();
-      if (s == null) return false;
-
-      Label l = s.label();
-      if (l == null) return false;
-
-      return npf.accept(l.value());
-    }
-
-    // Automatically generated by Eclipse
-    private static final long serialVersionUID = -2872766864289207468L;
-  } // end static class NoPunctTypedDependencyFilter
-
-
-  /**
-   * Returns the set of (governor, dependent) dependencies in this
-   * <code>GrammaticalStructure</code>.
-   * @return The set of (governor, dependent) dependencies in this
-   * <code>GrammaticalStructure</code>.
-   */
-  public Set<Dependency<Label, Label, Object>> dependencies() {
-    return dependencies;
-  }
-
-  /**
-   * Tries to return a <code>Set</code> of leaf (terminal) nodes
-   * which are the {@link GrammaticalRelation#DEPENDENT
-   * <code>DEPENDENT</code>}s of the given node <code>t</code>.
-   * Probably, <code>t</code> should be a leaf node as well.
-   *
-   * @param t a leaf node in this <code>GrammaticalStructure</code>
-   * @return a <code>Set</code> of nodes which are dependents of
-   *         node <code>t</code>, or else <code>null</code>
-   */
-  public Set<TreeGraphNode> getDependents(TreeGraphNode t) {
-    Set<TreeGraphNode> deps = Generics.newTreeSet();
-    // todo [cdm]: Explore replacing this with direct iteration over Tree
-    Set<Tree> nodes = root.subTrees();
-    for (Iterator<Tree> it = nodes.iterator(); it.hasNext();) {
-      TreeGraphNode node = (TreeGraphNode) it.next();
-      TreeGraphNode gov = getGovernor(node);
-      if (gov != null && gov == t) {
-        deps.add(node);
-      }
-    }
-    return deps;
-  }
-
-  /**
-   * Tries to return a leaf (terminal) node which is the {@link
-   * GrammaticalRelation#GOVERNOR
-   * <code>GOVERNOR</code>} of the given node <code>t</code>.
-   * Probably, <code>t</code> should be a leaf node as well.
-   *
-   * @param t a leaf node in this <code>GrammaticalStructure</code>
-   * @return a node which is the governor for node
-   *         <code>t</code>, or else <code>null</code>
-   */
-  public static TreeGraphNode getGovernor(TreeGraphNode t) {
-    return getNodeInRelation(t, GOVERNOR);
-  }
-
-  public static TreeGraphNode getNodeInRelation(TreeGraphNode t, GrammaticalRelation r) {
-    return t.followArcToNode(GrammaticalRelation.getAnnotationClass(r));
-  }
-
-  /**
-   * Get GrammaticalRelation between gov and dep, and null if gov  is not the
-   * governor of dep
-   */
-  public GrammaticalRelation getGrammaticalRelation(int govIndex, int depIndex) {
-    TreeGraphNode gov = getNodeByIndex(govIndex);
-    TreeGraphNode dep = getNodeByIndex(depIndex);
-    return getGrammaticalRelation(gov, dep);
-  }
-
-  /**
-   * Get GrammaticalRelation between gov and dep, and null if gov is not the
-   * governor of dep
-   */
-  public static GrammaticalRelation getGrammaticalRelation(TreeGraphNode gov, TreeGraphNode dep) {
-    GrammaticalRelation reln = GrammaticalRelation.DEPENDENT;
-    TreeGraphNode govH = gov.highestNodeWithSameHead();
-    TreeGraphNode depH = dep.highestNodeWithSameHead();
-    /*System.out.println("gov node " + gov);
-    System.out.println("govH " + govH);
-    System.out.println("dep node " + dep);
-    System.out.println("depH " + depH);*/
-
-    // Set sortedSet = new TreeSet(new NameComparator());
-    // sortedSet.addAll(govH.arcLabelsToNode(depH));
-    // Set<Class<? extends GrammaticalRelationAnnotation>> arcLabels = sortedSet;
-    Set<Class<? extends GrammaticalRelationAnnotation>> arcLabels = new TreeSet<Class<? extends GrammaticalRelationAnnotation>>(new NameComparator<Class<? extends GrammaticalRelationAnnotation>>());
-    arcLabels.addAll(govH.arcLabelsToNode(depH));
-
-    //System.out.println("arcLabels: " + arcLabels);
-
-    for (Class<? extends GrammaticalRelationAnnotation> arcLabel : arcLabels) {
-      if (arcLabel != null) {
-        GrammaticalRelation reln2;
-        try {
-          reln2 = GrammaticalRelation.getRelation(arcLabel);
-        } catch (Exception e) {
-          continue;
-        }
-        //GrammaticalRelation reln2 = r;
-        if (reln.isAncestor(reln2)) {
-          reln = reln2;
-        } else if (PRINT_DEBUGGING && ! reln2.isAncestor(reln)) {
-          System.err.println("@@@\t" + reln + "\t" + reln2 + "\t" +
-                             govH.label().get(CoreAnnotations.ValueAnnotation.class) + "\t" + depH.label().get(CoreAnnotations.ValueAnnotation.class));
-        }
-      }
-    }
-    if (PRINT_DEBUGGING && reln.equals(GrammaticalRelation.DEPENDENT)) {
-      String topCat = govH.label().get(CoreAnnotations.ValueAnnotation.class);
-      String topTag = govH.label().get(HeadTagAnnotation.class).value();
-      String topWord = govH.label().get(HeadWordAnnotation.class).value();
-      String botCat = depH.label().get(CoreAnnotations.ValueAnnotation.class);
-      String botTag = depH.label().get(HeadTagAnnotation.class).value();
-      String botWord = depH.label().get(HeadWordAnnotation.class).value();
-      System.err.println("### dep\t" + topCat + "\t" + topTag + "\t" + topWord +
-                         "\t" + botCat + "\t" + botTag + "\t" + botWord + "\t");
-    }
-    return reln;
-  }
-
-
-  /**
-   * Get a list of GrammaticalRelation between gov and dep. Useful for getting extra dependencies, in which
-   * two nodes can be linked by multiple arcs.
-   */
-  public static List<GrammaticalRelation> getListGrammaticalRelation(TreeGraphNode gov, TreeGraphNode dep) {
-    List<GrammaticalRelation> list = new ArrayList<GrammaticalRelation>();
-    TreeGraphNode govH = gov.highestNodeWithSameHead();
-    TreeGraphNode depH = dep.highestNodeWithSameHead();
-
-    /*System.out.println("Extra gov node " + gov);
-    System.out.println("govH " + govH);
-    System.out.println("dep node " + dep);
-    System.out.println("depH " + depH);*/
-
-    Set<Class<? extends GrammaticalRelationAnnotation>> arcLabels = govH.arcLabelsToNode(depH);
-    //System.out.println("arcLabels: " + arcLabels);
-    if (dep != depH) {
-      Set<Class<? extends GrammaticalRelationAnnotation>> arcLabels2 = govH.arcLabelsToNode(dep);
-      //System.out.println("arcLabels2: " + arcLabels2);
-      arcLabels.addAll(arcLabels2);
-    }
-    //System.out.println("arcLabels: " + arcLabels);
-
-    for (Class<? extends GrammaticalRelationAnnotation> arcLabel : arcLabels) {
-      if (arcLabel != null) {
-        GrammaticalRelation reln2 = GrammaticalRelation.getRelation(arcLabel);
-        if (!list.isEmpty()) {
-          for (int i = 0; i < list.size(); i++) {
-            GrammaticalRelation gr = list.get(i);
-            //if the element in the list is an ancestor of the current relation, replace it
-            if (gr.isAncestor(reln2)) {
-              int index = list.indexOf(gr);
-              list.set(index, reln2);
-            }
-            //if the relation is not an ancestor of an element in the list, we add the relation
-            else if (!reln2.isAncestor(gr)) {
-              list.add(reln2);
-            }
-
-          }
-        } else {
-          list.add(reln2);
-        }
-      }
-    }
-    //System.out.println("in list " + list);
-    return list;
-  }
-
-  /**
-   * Returns the typed dependencies of this grammatical structure.  These
-   * are basic word-level typed dependencies, where each word other than the
-   * root of the sentence is dependent on one other word, and the
-   * dependencies have a tree structure.
-   *
-   * @return The typed dependencies of this grammatical structure
-   */
-  public Collection<TypedDependency> typedDependencies() {
-    return typedDependencies(false);
-  }
-
-
-  /**
-   * Returns all the typed dependencies of this grammatical structure.
-   * These are like the basic (uncollapsed) dependencies, but may include
-   * extra arcs for control relationships, etc.
-   */
-  public Collection<TypedDependency> allTypedDependencies() {
-    return typedDependencies(true);
-  }
-
-
-  /**
-   * Returns the typed dependencies of this grammatical structure.
-   * <p/>
-   * If the boolean argument is true, the list of typed dependencies
-   * returned may include "extras", and does not follow a tree structure.
-   */
-  public List<TypedDependency> typedDependencies(boolean includeExtras) {
-    List<TypedDependency> deps = includeExtras ? allTypedDependencies
-                                                       : typedDependencies;
-    correctDependencies(deps);
-    return deps;
-  }
-
-  /**
-   * Get the typed dependencies after collapsing them.
-   * Collapsing dependencies refers to turning certain function words
-   * such as prepositions and conjunctions into arcs, so they disappear from
-   * the set of nodes.
-   * There is no guarantee that the dependencies are a tree. While the
-   * dependencies are normally tree-like, the collapsing may introduce
-   * not only re-entrancies but even small cycles.
-   *
-   * @return A set of collapsed dependencies
-   */
-  public Collection<TypedDependency> typedDependenciesCollapsed() {
-    return typedDependenciesCollapsed(false);
-  }
-
-  /**
-   * Get the typed dependencies after mostly collapsing them, but keep a tree
-   * structure.  In order to do this, the code does:
-   * <ol>
-   * <li> no relative clause processing
-   * <li> no xsubj relations
-   * <li> no propagation of conjuncts
-   * </ol>
-   *
-   * @return collapsed dependencies keeping a tree structure
-   */
-  public Collection<TypedDependency> typedDependenciesCollapsedTree() {
-    List<TypedDependency> tdl = typedDependencies(false);
-    collapseDependenciesTree(tdl);
-    return tdl;
-  }
-
-  /**
-   * Get the typed dependencies after collapsing them.
-   * <p/>
-   * If the boolean argument is true, the list of typed dependencies
-   * returned may include "extras".
-   *
-   * @return collapsed dependencies
-   */
-  public List<TypedDependency> typedDependenciesCollapsed(boolean includeExtras) {
-    List<TypedDependency> tdl = typedDependencies(includeExtras);
-    collapseDependencies(tdl, false);
-    return tdl;
-  }
-
-
-  /**
-   * Get the typed dependencies after collapsing them and processing eventual
-   * CC complements.  The effect of this part is to distributed conjoined
-   * arguments across relations or conjoined predicates across their arguments.
-   * This is generally useful, and we generally recommend using the output of
-   * this method with the second argument being <code>true</code>.
-   *
-   * @param includeExtras If true, the list of typed dependencies
-   * returned may include "extras", such as controlled subject links.
-   * @return collapsed dependencies with CC processed
-   */
-  public List<TypedDependency> typedDependenciesCCprocessed(boolean includeExtras) {
-    List<TypedDependency> tdl = typedDependencies(includeExtras);
-    collapseDependencies(tdl, true);
-    return tdl;
-  }
-
-
-  /**
-   * Get a list of the typed dependencies, including extras like control
-   * dependencies, collapsing them and distributing relations across
-   * coordination.  This method is generally recommended for best
-   * representing the semantic and syntactic relations of a sentence. In
-   * general it returns a directed graph (i.e., the output may not be a tree
-   * and it may contain (small) cycles).
-   *
-   * @return collapsed dependencies with CC processed
-   */
-  public List<TypedDependency> typedDependenciesCCprocessed() {
-    return typedDependenciesCCprocessed(true);
-  }
-
-
-  /**
-   * Destructively modify the <code>Collection&lt;TypedDependency&gt;</code> to collapse
-   * language-dependent transitive dependencies.
-   * <p/>
-   * Default is no-op; to be over-ridden in subclasses.
-   *
-   * @param list A list of dependencies to process for possible collapsing
-   * @param CCprocess apply CC process?
-   */
-  protected void collapseDependencies(List<TypedDependency> list, boolean CCprocess) {
-    // do nothing as default operation
-  }
-
-  /**
-   * Destructively modify the <code>Collection&lt;TypedDependency&gt;</code> to collapse
-   * language-dependent transitive dependencies but keeping a tree structure.
-   * <p/>
-   * Default is no-op; to be over-ridden in subclasses.
-   *
-   * @param list A list of dependencies to process for possible collapsing
-   *
-   */
-  protected void collapseDependenciesTree(List<TypedDependency> list) {
-    // do nothing as default operation
-  }
-
-
-  /**
-   * Destructively modify the <code>TypedDependencyGraph</code> to correct
-   * language-dependent dependencies. (e.g., nsubjpass in a relative clause)
-   * <p/>
-   * Default is no-op; to be over-ridden in subclasses.
-   *
-   */
-  protected void correctDependencies(Collection<TypedDependency> list) {
-    // do nothing as default operation
-  }
-
-
-  /**
-   * Returns the dependency path as a list of String, from node to root, it is assumed that
-   * that root is an ancestor of node
-   *
-   * @return A list of dependency labels
-   */
-  public List<String> getDependencyPath(int nodeIndex, int rootIndex) {
-    TreeGraphNode node = getNodeByIndex(nodeIndex);
-    TreeGraphNode rootTree = getNodeByIndex(rootIndex);
-    return getDependencyPath(node, rootTree);
-  }
-
-  /**
-   * Returns the dependency path as a list of String, from node to root, it is assumed that
-   * that root is an ancestor of node
-   *
-   * @param node Note to return path from
-   * @param root The root of the tree, an ancestor of node
-   * @return A list of dependency labels
-   */
-  // used only by unused method above.
-  private static List<String> getDependencyPath(TreeGraphNode node, TreeGraphNode root) {
-    List<String> path = new ArrayList<String>();
-    while (!node.equals(root)) {
-      TreeGraphNode gov = getGovernor(node);
-      // System.out.println("Governor for \"" + node.value() + "\": \"" + gov.value() + "\"");
-      List<GrammaticalRelation> relations = getListGrammaticalRelation(gov, node);
-      StringBuilder sb = new StringBuilder();
-      for (GrammaticalRelation relation : relations) {
-        //if (!arcLabel.equals(GOVERNOR))
-        sb.append((sb.length() == 0 ? "" : "+")).append(relation.toString());
-      }
-      path.add(sb.toString());
-      node = gov;
-    }
-    return path;
-  }
-
-  /**
-   * Returns all the dependencies of a certain node.
-   *
-   * @param node The node to return dependents for
-   * @return map of dependencies
-   */
-  private static Map<Class<? extends CoreAnnotation>, Set<TreeGraphNode>> getAllDependents(TreeGraphNode node) {
-    Map<Class<? extends CoreAnnotation>, Set<TreeGraphNode>> newMap = Generics.newHashMap();
-
-    for (Class<?> o : node.label.keySet()) {
-      try {
-        // The line below will exception unless it's a GrammaticalRelationAnnotation,
-        // so the effect is that only the GrammaticalRelationAnnotation things get put into newMap
-        o.asSubclass(GrammaticalRelationAnnotation.class);
-        newMap.put((Class<? extends CoreAnnotation>) o, (Set<TreeGraphNode>) node.label.get((Class<? extends CoreAnnotation>) o));//javac doesn't compile properly if generics are fully specified (but eclipse does...)
-      } catch (Exception e) {
-        // ignore a non-GrammaticalRelationAnnotation element
-      }
-    }
-    return newMap;
-  }
-
-
-  /**
-   * Checks if all the typeDependencies are connected
-   * @param list a list of typedDependencies
-   * @return true if the list represents a connected graph, false otherwise
-   */
-  public static boolean isConnected(Collection<TypedDependency> list) {
-    return getRoots(list).size() <= 1; // there should be no more than one root to have a connected graph
-                                         // there might be no root in the way we look when you have a relative clause
-                                         // ex.: Apple is a society that sells computers
-                                         // (the root "society" will also be the nsubj of "sells")
-  }
-
-  /**
-   * Return a list of TypedDependencies which are not dependent on any node from the list.
-   *
-   * @param list The list of TypedDependencies to check
-   * @return A list of TypedDependencies which are not dependent on any node from the list
-   */
-  public static Collection<TypedDependency> getRoots(Collection<TypedDependency> list) {
-
-    Collection<TypedDependency> roots = new ArrayList<TypedDependency>();
-
-    // need to see if more than one governor is not listed somewhere as a dependent
-    // first take all the deps
-    Collection<TreeGraphNode> deps = new HashSet<TreeGraphNode>();
-    for (TypedDependency typedDep : list) {
-      deps.add(typedDep.dep());
-    }
-
-    // go through the list and add typedDependency for which the gov is not a dep
-    Collection<TreeGraphNode> govs = new HashSet<TreeGraphNode>();
-    for (TypedDependency typedDep : list) {
-      TreeGraphNode gov = typedDep.gov();
-      if (!deps.contains(gov) && !govs.contains(gov)) {
-        roots.add(typedDep);
-      }
-      govs.add(gov);
-    }
-    return roots;
-  }
-
-  private static final long serialVersionUID = 2286294455343892678L;
-
-  private static class NameComparator<X> implements Comparator<X> {
-    public int compare(X o1, X o2) {
-      String n1 = o1.toString();
-      String n2 = o2.toString();
-      return n1.compareTo(n2);
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/GrammaticalStructureFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/GrammaticalStructureFactory.java
deleted file mode 100644
index 777d80a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/GrammaticalStructureFactory.java
+++ /dev/null
@@ -1,108 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.lang.reflect.Constructor;
-import java.lang.reflect.InvocationTargetException;
-
-import edu.stanford.nlp.util.Filter;
-
-/**
- * A general factory for {@link GrammaticalStructure} objects.
- *
- * Uses reflection to create objects of any subclass of
- * {@link GrammaticalStructure}.
- *
- * @author Galen Andrew
- */
-public class GrammaticalStructureFactory {
-
-  private final Constructor con;
-  private final Filter<String> puncFilter;
-  private final HeadFinder hf;
-
-  /**
-   * Make a new GrammaticalStructureFactory that dispenses {@link GrammaticalStructure}
-   * objects of the given specific type
-   * @param name the fully qualified name of a subclass of GrammaticalStructure
-   */
-  public GrammaticalStructureFactory(String name) {
-    this(name, null);
-  }
-
-  /**
-   * Make a new GrammaticalStructureFactory that dispenses
-   * {@link GrammaticalStructure} objects of the given specific type
-   *
-   * @param name the fully qualified name of a subclass of GrammaticalStructure
-   * @param puncFilter A filter that returns false on punctuation words
-   */
-  public GrammaticalStructureFactory(String name, Filter<String> puncFilter) {
-    this(name, puncFilter, null);
-  }
-
-  public GrammaticalStructureFactory(String name, Filter<String> puncFilter, HeadFinder hf) {
-    Class c, t, f, h;
-    try {
-      c = Class.forName(name);
-      if (!Class.forName("edu.stanford.nlp.trees.GrammaticalStructure").isAssignableFrom(c)) {
-        throw new ClassNotFoundException();
-      }
-      t = Class.forName("edu.stanford.nlp.trees.Tree");
-      f = Class.forName("edu.stanford.nlp.util.Filter");
-      h = Class.forName("edu.stanford.nlp.trees.HeadFinder");
-    } catch (ClassNotFoundException e) {
-      throw new RuntimeException("Class " + name + " does not exist or does not extend edu.stanford.nlp.trees.GrammaticalStructure.", e);
-    }
-
-    try {
-      if (puncFilter == null) {
-        if (hf == null) {
-          con = c.getConstructor(t);
-        } else {
-          con = c.getConstructor(t, h);
-        }
-      } else {
-        if (hf == null) {
-          con = c.getConstructor(t, f);
-        } else {
-          con = c.getConstructor(t, f, h);
-        }
-      }
-      this.puncFilter = puncFilter;
-      this.hf = hf;
-    } catch (NoSuchMethodException e) {
-      // this is impossible, given above exceptions
-      throw new RuntimeException();
-    }
-  }
-
-  /**
-   * Vend a new {@link GrammaticalStructure} based on the given {@link Tree}.
-   *
-   * @param t the tree to analyze
-   * @return a GrammaticalStructure based on the tree
-   */
-  public GrammaticalStructure newGrammaticalStructure(Tree t) {
-    try {
-      if (puncFilter == null) {
-        if (hf == null) {
-          return (GrammaticalStructure) con.newInstance(t);
-        } else {
-          return (GrammaticalStructure) con.newInstance(t, hf);
-        }
-      } else {
-        if (hf == null) {
-          return (GrammaticalStructure) con.newInstance(t, puncFilter);
-        } else {
-          return (GrammaticalStructure) con.newInstance(t, puncFilter, hf);
-        }
-      }
-    } catch (InstantiationException e) {
-      throw new RuntimeException("Cannot instantiate " + con.getDeclaringClass().getName(), e);
-    } catch (IllegalAccessException e) {
-      throw new RuntimeException(con.getDeclaringClass().getName() + "(Tree t) does not have public access", e);
-    } catch (InvocationTargetException e) {
-      throw new RuntimeException("Failed to invoke " + con, e);
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/HeadFinder.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/HeadFinder.java
deleted file mode 100644
index ecae311..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/HeadFinder.java
+++ /dev/null
@@ -1,44 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.Serializable;
-
-/**
- * An interface for finding the "head" daughter of a phrase structure tree.
- * This could potentially be any sense of "head", but has mainly been used
- * to find the lexical head for lexicalized PCFG parsing.
- *
- * @author Christopher Manning
- */
-public interface HeadFinder extends Serializable {
-
-  /**
-   * Determine which daughter of the current parse tree is the head.
-   * It assumes that the daughters already have had their heads
-   * determined. Another method has to do the tree walking.
-   *
-   * @param t The parse tree to examine the daughters of
-   * @return The parse tree that is the head.  The convention has been
-   *         that this returns <code>null</code> if no head is found.
-   *         But maybe it should throw an exception?
-   */
-  public Tree determineHead(Tree t);
-
-
-  /**
-   * Determine which daughter of the current parse tree is the head given the parent of
-   * the tree.
-   * It assumes that the daughters already have had their heads
-   * determined. Another method has to do the tree walking.
-   *
-   * @param t The parse tree to examine the daughters of
-   * @param parent The parent of tree t
-   * @return The parse tree that is the head.  The convention has been
-   *         that this returns <code>null</code> if no head is found.
-   *         But maybe it should throw an exception?
-   */
-  public Tree determineHead(Tree t, Tree parent);
-
-
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Labeled.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Labeled.java
deleted file mode 100644
index 6e04ad6..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Labeled.java
+++ /dev/null
@@ -1,62 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-
-import java.util.Collection;
-
-/**
- * Interface for Objects which have a <code>Label</code>.
- * For instance, they may be hand-classified with one or more tags.
- * Note that it is for things that possess
- * a label via composition, rather than for things that implement
- * the <code>Label</code> interface.
- * An implementor might choose to be read-only and throw an
- * UnsupportedOperationException on the setLabel(s)() commands, but should
- * minimally implement both commands to return Label(s).
- *
- * @author Sep Kamvar
- * @author Christopher Manning
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) - filled in types
- */
-
-public interface Labeled {
-
-  /**
-   * Returns the Object's label.
-   *
-   * @return One of the labels of the object (if there are multiple labels,
-   *         preferably the primary label, if it exists).
-   *         Returns null if there is no label.
-   */
-
-  public Label label();
-
-
-  /**
-   * Sets the label associated with this object.
-   *
-   * @param label The Label value
-   */
-
-  public void setLabel(final Label label);
-
-
-  /**
-   * Gives back all labels for this thing.
-   *
-   * @return A Collection of the Object's labels.  Returns an empty
-   *         Collection if there are no labels.
-   */
-
-  public Collection<Label> labels();
-
-
-  /**
-   * Sets the labels associated with this object.
-   *
-   * @param labels The set of Label values
-   */
-
-  public void setLabels(final Collection<Label> labels);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/LabeledConstituent.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/LabeledConstituent.java
deleted file mode 100644
index ef6a9d9..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/LabeledConstituent.java
+++ /dev/null
@@ -1,201 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.LabelFactory;
-import edu.stanford.nlp.ling.StringLabel;
-
-/**
- * A <code>LabeledConstituent</code> object represents a single bracketing in
- * a derivation, including start and end points and <code>Label</code>
- * information, but excluding probabilistic information.  It is used
- * to represent the basic information that is accumulated in exploring parses.
- *
- * @author Christopher Manning
- * @version 2002/06/01
- */
-public class LabeledConstituent extends SimpleConstituent
-        /* implements Label */ {
-
-  /**
-   * The Label.
-   */
-  private Label label;
-
-
-  /**
-   * Create an empty <code>LabeledConstituent</code> object.
-   */
-  public LabeledConstituent() {
-    // implicitly super();
-  }
-
-
-  /**
-   * Create a <code>LabeledConstituent</code> object with given
-   * values.
-   *
-   * @param start Start node of edge
-   * @param end   End node of edge
-   */
-  public LabeledConstituent(int start, int end) {
-    super(start, end);
-  }
-
-
-  /**
-   * Create a <code>LabeledConstituent</code> object with given values.
-   *
-   * @param start Start node of edge
-   * @param end   End node of edge
-   * @param label The label of the <code>Constituent</code>
-   */
-  public LabeledConstituent(int start, int end, Label label) {
-    super(start, end);
-    this.label = label;
-  }
-
-
-  /**
-   * Create a <code>LabeledConstituent</code> object with given values.
-   *
-   * @param start       Start node of edge
-   * @param end         End node of edge
-   * @param stringValue The name of the <code>Constituent</code>
-   */
-  public LabeledConstituent(int start, int end, String stringValue) {
-    super(start, end);
-    this.label = new StringLabel(stringValue);
-  }
-
-
-  @Override
-  public Label label() {
-    return label;
-  }
-
-  @Override
-  public void setLabel(Label label) {
-    this.label = label;
-  }
-
-  @Override
-  public void setFromString(String labelStr) {
-    this.label = new StringLabel(labelStr);
-  }
-
-  /**
-   * A <code>LabeledConstituentLabelFactory</code> object makes a
-   * <code>StringLabel</code> <code>LabeledScoredConstituent</code>.
-   */
-  private static class LabeledConstituentLabelFactory implements LabelFactory {
-
-    /**
-     * Make a new <code>LabeledConstituent</code>.
-     *
-     * @param labelStr A string.
-     * @return The created label
-     */
-    public Label newLabel(final String labelStr) {
-      return new LabeledConstituent(0, 0, new StringLabel(labelStr));
-    }
-
-
-    /**
-     * Make a new <code>LabeledConstituent</code>.
-     *
-     * @param labelStr A string.
-     * @param options  The options are ignored.
-     * @return The created label
-     */
-    public Label newLabel(final String labelStr, final int options) {
-      return newLabel(labelStr);
-    }
-
-
-    /**
-     * Make a new <code>LabeledConstituent</code>.
-     *
-     * @param labelStr A string.
-     * @return The created label
-     */
-    public Label newLabelFromString(final String labelStr) {
-      return newLabel(labelStr);
-    }
-
-
-    /**
-     * Create a new <code>LabeledConstituent</code>.
-     *
-     * @param oldLabel A <code>Label</code>.
-     * @return A new <code>LabeledConstituent</code>
-     */
-    public Label newLabel(Label oldLabel) {
-      return new LabeledConstituent(0, 0, oldLabel);
-    }
-
-  }
-
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class LabelFactoryHolder {
-    static final LabelFactory lf = new LabeledConstituentLabelFactory();
-  }
-
-  /**
-   * Return a factory for this kind of label.
-   * The factory returned is always the same one (a singleton)
-   *
-   * @return the label factory
-   */
-  @Override
-  public LabelFactory labelFactory() {
-    return LabelFactoryHolder.lf;
-  }
-
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class ConstituentFactoryHolder {
-
-    /**
-     * A <code>LabeledConstituentFactory</code> acts as a factory for
-     * creating objects of class <code>LabeledConstituent</code>.
-     */
-    private static class LabeledConstituentFactory implements ConstituentFactory {
-
-      public Constituent newConstituent(int start, int end) {
-        return new LabeledConstituent(start, end);
-      }
-
-      public Constituent newConstituent(int start, int end, Label label, double score) {
-        return new LabeledConstituent(start, end, label);
-      }
-
-    }
-
-    static final ConstituentFactory cf = new LabeledConstituentFactory();
-  }
-
-
-  /**
-   * Return a factory for this kind of constituent.
-   * The factory returned is always the same one (a singleton).
-   *
-   * @return The constituent factory
-   */
-  @Override
-  public ConstituentFactory constituentFactory() {
-    return ConstituentFactoryHolder.cf;
-  }
-
-
-  /**
-   * Return a factory for this kind of constituent.
-   * The factory returned is always the same one (a singleton).
-   *
-   * @return The constituent factory
-   */
-  public static ConstituentFactory factory() {
-    return ConstituentFactoryHolder.cf;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/LabeledScoredTreeFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/LabeledScoredTreeFactory.java
deleted file mode 100644
index 8e2fecd..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/LabeledScoredTreeFactory.java
+++ /dev/null
@@ -1,72 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.LabelFactory;
-
-import java.util.List;
-
-/**
- * A <code>LabeledScoredTreeFactory</code> acts as a factory for creating
- * trees with labels and scores.  Unless another <code>LabelFactory</code>
- * is supplied, it will use a <code>StringLabel</code> by default.
- *
- * @author Christopher Manning
- */
-public class LabeledScoredTreeFactory extends SimpleTreeFactory {
-
-  private LabelFactory lf;
-
-  /**
-   * Make a TreeFactory that produces LabeledScoredTree trees.
-   * The labels are of class <code>StringLabel</code>.
-   */
-  public LabeledScoredTreeFactory() {
-    this(CoreLabel.factory());
-  }
-
-  /**
-   * Make a TreeFactory that uses LabeledScoredTree trees, where the
-   * labels are as specified by the user.
-   *
-   * @param lf the <code>LabelFactory</code> to be used to create labels
-   */
-  public LabeledScoredTreeFactory(LabelFactory lf) {
-    this.lf = lf;
-  }
-
-  @Override
-  public Tree newLeaf(final String word) {
-    return new LabeledScoredTreeNode(lf.newLabel(word));
-  }
-
-  /**
-   * Create a new leaf node with the given label
-   *
-   * @param label the label for the leaf node
-   * @return A new tree leaf
-   */
-  @Override
-  public Tree newLeaf(Label label) {
-    return new LabeledScoredTreeNode(lf.newLabel(label));
-  }
-
-  @Override
-  public Tree newTreeNode(final String parent, final List<Tree> children) {
-    return new LabeledScoredTreeNode(lf.newLabel(parent), children);
-  }
-
-  /**
-   * Create a new non-leaf tree node with the given label
-   *
-   * @param parentLabel The label for the node
-   * @param children    A <code>List</code> of the children of this node,
-   *                    each of which should itself be a <code>LabeledScoredTree</code>
-   * @return A new internal tree node
-   */
-  @Override
-  public Tree newTreeNode(Label parentLabel, List<Tree> children) {
-    return new LabeledScoredTreeNode(lf.newLabel(parentLabel), children);
-  }
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/LabeledScoredTreeNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/LabeledScoredTreeNode.java
deleted file mode 100644
index b2c5220..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/LabeledScoredTreeNode.java
+++ /dev/null
@@ -1,205 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.text.DecimalFormat;
-import java.text.NumberFormat;
-import java.util.List;
-
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.LabelFactory;
-
-/**
- * A <code>LabeledScoredTreeNode</code> represents a tree composed of a root
- * label, a score,
- * and an array of daughter parse trees.  A parse tree derived from a rule
- * provides information about the category of the root as well as a composite
- * of the daughter categories.
- *
- * @author Christopher Manning
- */
-public class LabeledScoredTreeNode extends Tree {
-
-	private static final long serialVersionUID = -8992385140984593817L;
-
-	/**
-	 * Label of the parse tree.
-	 */
-	private Label label = null;
-
-	/**
-	 * Score of <code>TreeNode</code>
-	 */
-	private double score = Double.NaN;
-
-	/**
-	 * Daughters of the parse tree.
-	 */
-	private Tree[] daughterTrees = null;
-
-	/**
-	 * Create an empty parse tree.
-	 */
-	public LabeledScoredTreeNode() {
-		setChildren(EMPTY_TREE_ARRAY);
-	}
-
-	/**
-	 * Create a leaf parse tree with given word.
-	 *
-	 * @param label the <code>Label</code> representing the <i>word</i> for
-	 *              this new tree leaf.
-	 */
-	public LabeledScoredTreeNode(Label label) {
-		this(label, Double.NaN);
-	}
-
-	/**
-	 * Create a leaf parse tree with given word and score.
-	 *
-	 * @param label The <code>Label</code> representing the <i>word</i> for
-	 * @param score The score for the node
-	 *              this new tree leaf.
-	 */
-	public LabeledScoredTreeNode(Label label, double score) {
-		this();
-		this.label = label;
-		this.score = score;
-	}
-
-	/**
-	 * Create parse tree with given root and array of daughter trees.
-	 *
-	 * @param label             root label of tree to construct.
-	 * @param daughterTreesList List of daughter trees to construct.
-	 */
-	public LabeledScoredTreeNode(Label label, List<Tree> daughterTreesList) {
-		this.label = label;
-		setChildren(daughterTreesList);
-	}
-
-	/**
-	 * Returns an array of children for the current node, or null
-	 * if it is a leaf.
-	 */
-	@Override
-	public Tree[] children() {
-		return daughterTrees;
-	}
-
-	/**
-	 * Sets the children of this <code>Tree</code>.  If given
-	 * <code>null</code>, this method prints a warning and sets the
-	 * Tree's children to the canonical zero-length Tree[] array.
-	 * Constructing a LabeledScoredTreeLeaf is preferable in this
-	 * case.
-	 *
-	 * @param children An array of child trees
-	 */
-	@Override
-	public void setChildren(Tree[] children) {
-		if (children == null) {
-			daughterTrees = EMPTY_TREE_ARRAY;
-		} else {
-			daughterTrees = children;
-		}
-	}
-
-	/**
-	 * Returns the label associated with the current node, or null
-	 * if there is no label
-	 */
-	@Override
-	public Label label() {
-		return label;
-	}
-
-	/**
-	 * Sets the label associated with the current node, if there is one.
-	 */
-	@Override
-	public void setLabel(final Label label) {
-		this.label = label;
-	}
-
-	/**
-	 * Returns the score associated with the current node, or Nan
-	 * if there is no score
-	 */
-	@Override
-	public double score() {
-		return score;
-	}
-
-	/**
-	 * Sets the score associated with the current node, if there is one
-	 */
-	@Override
-	public void setScore(double score) {
-		this.score = score;
-	}
-
-	/**
-	 * Return a <code>TreeFactory</code> that produces trees of the
-	 * same type as the current <code>Tree</code>.  That is, this
-	 * implementation, will produce trees of type
-	 * <code>LabeledScoredTree(Node|Leaf)</code>.
-	 * The <code>Label</code> of <code>this</code>
-	 * is examined, and providing it is not <code>null</code>, a
-	 * <code>LabelFactory</code> which will produce that kind of
-	 * <code>Label</code> is supplied to the <code>TreeFactory</code>.
-	 * If the <code>Label</code> is <code>null</code>, a
-	 * <code>StringLabelFactory</code> will be used.
-	 * The factories returned on different calls a different: a new one is
-	 * allocated each time.
-	 *
-	 * @return a factory to produce labeled, scored trees
-	 */
-	@Override
-	public TreeFactory treeFactory() {
-		LabelFactory lf = (label() == null) ? CoreLabel.factory() : label().labelFactory();
-		return new LabeledScoredTreeFactory(lf);
-	}
-
-	// extra class guarantees correct lazy loading (Bloch p.194)
-	private static class TreeFactoryHolder {
-		static final TreeFactory tf = new LabeledScoredTreeFactory();
-	}
-
-	/**
-	 * Return a <code>TreeFactory</code> that produces trees of the
-	 * <code>LabeledScoredTree{Node|Leaf}</code> type.
-	 * The factory returned is always the same one (a singleton).
-	 *
-	 * @return a factory to produce labeled, scored trees
-	 */
-	public static TreeFactory factory() {
-		return TreeFactoryHolder.tf;
-	}
-
-	/**
-	 * Return a <code>TreeFactory</code> that produces trees of the
-	 * <code>LabeledScoredTree{Node|Leaf}</code> type, with
-	 * the <code>Label</code> made with the supplied
-	 * <code>LabelFactory</code>.
-	 * The factory returned is a different one each time
-	 *
-	 * @param lf The LabelFactory to use
-	 * @return a factory to produce labeled, scored trees
-	 */
-	public static TreeFactory factory(LabelFactory lf) {
-		return new LabeledScoredTreeFactory(lf);
-	}
-
-	private static NumberFormat nf = new DecimalFormat("0.000");
-
-	@Override
-	public String nodeString() {
-		StringBuilder buff = new StringBuilder();
-		buff.append(super.nodeString());
-		if ( ! Double.isNaN(score)) {
-			buff.append(" [").append(nf.format(-score)).append("]");
-		}
-		return buff.toString();
-	}
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/LabeledScoredTreeReaderFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/LabeledScoredTreeReaderFactory.java
deleted file mode 100644
index 2befee4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/LabeledScoredTreeReaderFactory.java
+++ /dev/null
@@ -1,51 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.LabelFactory;
-
-import java.io.Reader;
-
-/**
- * This class implements a <code>TreeReaderFactory</code> that produces
- * labeled, scored array-based Trees, which have been cleaned up to
- * delete empties, etc.   This seems to be a common case (for English).
- * By default, the labels are of type CategoryWordTag,
- * but a different Label type can be specified by the user.
- *
- * @author Christopher Manning
- */
-public class LabeledScoredTreeReaderFactory implements TreeReaderFactory {
-
-  private final LabelFactory lf;
-  private final TreeNormalizer tm;
-
-  /**
-   * Create a new TreeReaderFactory with CategoryWordTag labels.
-   */
-  public LabeledScoredTreeReaderFactory() {
-    lf = CoreLabel.factory();
-    tm = new BobChrisTreeNormalizer();
-  }
-
-  public LabeledScoredTreeReaderFactory(LabelFactory lf) {
-    this.lf = lf;
-    tm = new BobChrisTreeNormalizer();
-  }
-
-  public LabeledScoredTreeReaderFactory(TreeNormalizer tm) {
-    lf = CoreLabel.factory();
-    this.tm = tm;
-  }
-
-  /**
-   * An implementation of the <code>TreeReaderFactory</code> interface.
-   * It creates a <code>TreeReader</code> which normalizes trees using
-   * the <code>BobChrisTreeNormalizer</code>, and makes
-   * <code>LabeledScoredTree</code> objects with
-   * <code>CategoryWordTag</code> labels (unless otherwise specified on
-   * construction).
-   */
-  public TreeReader newTreeReader(Reader in) {
-    return new PennTreeReader(in, new LabeledScoredTreeFactory(lf), tm);
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/MemoryTreebank.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/MemoryTreebank.java
deleted file mode 100644
index 85df2f9..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/MemoryTreebank.java
+++ /dev/null
@@ -1,490 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.*;
-import java.util.*;
-
-import edu.stanford.nlp.ling.CoreAnnotations;
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.HasIndex;
-import edu.stanford.nlp.util.*;
-import edu.stanford.nlp.objectbank.ObjectBank;
-
-
-/**
- * A <code>MemoryTreebank</code> object stores a corpus of examples with
- * given tree structures in memory (as a <code>List</code>).
- *
- * @author Christopher Manning
- * @version 2004/09/01
- */
-public final class MemoryTreebank extends Treebank implements FileProcessor, List<Tree> {
-
-  private static final boolean PRINT_FILENAMES = false;
-
-  /** THIS IS AT PRESENT DELETED, UNLESS PROBLEMS RECUR.
-   * If this is true, the system will retry opening files a few times
-   * before concluding that there is really a problem. This seems to
-   * be necessary with NFS on Linux boxes -- at least the DB ones.
-   */
-  //  private static final boolean BROKEN_NFS = true;
-
-
-  /**
-   * The collection of parse trees.
-   */
-  private List<Tree> parseTrees;
-
-  /**
-   * Create a new tree bank.
-   * The trees are made with a <code>LabeledScoredTreeReaderFactory</code>.
-   * <p/>
-   * <i>Compatibility note: Until Sep 2004, this used to create a Treebank
-   * with a SimpleTreeReaderFactory, but this was changed as the old
-   * default wasn't very useful, especially to naive users.</i>
-   */
-  public MemoryTreebank() {
-    this(new LabeledScoredTreeReaderFactory());
-  }
-
-  /**
-   * Create a new tree bank, using a specific TreeNormalizer.
-   * The trees are made with a <code>LabeledScoredTreeReaderFactory</code>.
-   * <p/>
-   * <i>Compatibility note: Until Sep 2004, this used to create a Treebank
-   * with a SimpleTreeReaderFactory, but this was changed as the old
-   * default wasn't very useful, especially to naive users.</i>
-   */
-  public MemoryTreebank(TreeNormalizer tm) {
-    this(new LabeledScoredTreeReaderFactory(tm));
-  }
-
-  /**
-   * Create a new tree bank, set the encoding for file access
-   *
-   * @param encoding the encoding to use for file access.
-   */
-  public MemoryTreebank(String encoding) {
-    this(new LabeledScoredTreeReaderFactory(), encoding);
-  }
-
-  /**
-   * Create a new tree bank.
-   *
-   * @param trf the factory class to be called to create a new
-   *            <code>TreeReader</code>
-   */
-  public MemoryTreebank(TreeReaderFactory trf) {
-    super(trf);
-    parseTrees = new ArrayList<Tree>();
-  }
-
-
-  /**
-   * Create a new tree bank.
-   *
-   * @param trf      the factory class to be called to create a new
-   *                 <code>TreeReader</code>
-   * @param encoding the encoding to use for file access.
-   */
-  public MemoryTreebank(TreeReaderFactory trf, String encoding) {
-    super(trf, encoding);
-    parseTrees = new ArrayList<Tree>();
-  }
-
-  /**
-   * Create a new tree bank.  The list of trees passed in is simply placed
-   * in the Treebank.  It is not copied.
-   *
-   * @param trees    The trees to put in the Treebank.
-   * @param trf      the factory class to be called to create a new
-   *                 <code>TreeReader</code>
-   * @param encoding the encoding to use for file access.
-   */
-  public MemoryTreebank(List<Tree> trees, TreeReaderFactory trf, String encoding) {
-    super(trf, encoding);
-    parseTrees = trees;
-  }
-
-  /**
-   * Create a new Treebank.
-   *
-   * @param initialCapacity The initial size of the underlying Collection,
-   *                        (if a Collection-based storage mechanism is being provided)
-   */
-  public MemoryTreebank(int initialCapacity) {
-    this(initialCapacity, new SimpleTreeReaderFactory());
-  }
-
-
-  /**
-   * Create a new tree bank.
-   *
-   * @param initialCapacity The initial size of the underlying Collection
-   * @param trf             the factory class to be called to create a new
-   *                        <code>TreeReader</code>
-   */
-  public MemoryTreebank(int initialCapacity, TreeReaderFactory trf) {
-    super(initialCapacity, trf);
-    parseTrees = new ArrayList<Tree>(initialCapacity);
-  }
-
-
-  /**
-   * Empty a <code>Treebank</code>.
-   */
-  @Override
-  public void clear() {
-    parseTrees.clear();
-  }
-
-
-  /**
-   * Load trees from given directory.
-   *
-   * @param path file or directory to load from
-   * @param filt a FilenameFilter of files to load
-   */
-  @Override
-  public void loadPath(File path, FileFilter filt) {
-    FilePathProcessor.processPath(path, filt, this);
-  }
-
-  public void loadPath(String path, FileFilter filt, String srlFile) {
-    readSRLFile(srlFile);
-    FilePathProcessor.processPath(new File(path), filt, this);
-    srlMap = null;
-  }
-
-  private Map<String,CollectionValuedMap<Integer,String>> srlMap = null;
-
-  private void readSRLFile(String srlFile) {
-    srlMap = new HashMap<String,CollectionValuedMap<Integer,String>>();
-    for (String line : ObjectBank.getLineIterator(new File(srlFile))) {
-      String[] bits = line.split("\\s+", 3);
-      String filename = bits[0];
-      int treeNum = Integer.parseInt(bits[1]);
-      String info = bits[2];
-      CollectionValuedMap<Integer,String> cvm = srlMap.get(filename);
-      if (cvm == null) {
-        cvm = new CollectionValuedMap<Integer,String>();
-        srlMap.put(filename, cvm);
-      }
-      cvm.add(treeNum, info);
-    }
-  }
-
-  /**
-   * Load a collection of parse trees from the file of given name.
-   * Each tree may optionally be encased in parens to allow for Penn
-   * Treebank style trees.
-   * This methods implements the <code>FileProcessor</code> interface.
-   *
-   * @param file file to load a tree from
-   */
-  public void processFile(File file) {
-    TreeReader tr = null;
-
-    // SRL stuff
-    CollectionValuedMap<Integer,String> srlMap = null;
-    if (this.srlMap != null) {
-      // there must be a better way ...
-      String filename = file.getAbsolutePath();
-      for (String suffix : this.srlMap.keySet()) {
-        if (filename.endsWith(suffix)) {
-          srlMap = this.srlMap.get(suffix);
-          break;
-        }
-      }
-      if (srlMap == null) {
-        System.err.println("could not find SRL entries for file: "+file);
-      }
-    }
-
-    try {
-      // maybe print file name to stdout to get some feedback
-      if (PRINT_FILENAMES) {
-        System.err.println(file);
-      }
-      // could throw an IO exception if can't open for reading
-      tr = treeReaderFactory().newTreeReader(new BufferedReader(new InputStreamReader(new FileInputStream(file), encoding())));
-      int sentIndex=0;
-      Tree pt;
-      while ((pt = tr.readTree()) != null) {
-        if (pt.label() instanceof HasIndex) { // so we can trace where this tree came from
-          HasIndex hi = (HasIndex) pt.label();
-          hi.setDocID(file.getName());
-          hi.setSentIndex(sentIndex);
-        }
-        if (srlMap == null) {
-          parseTrees.add(pt);
-        } else {
-          Collection<String> srls = srlMap.get(sentIndex);
-//           pt.pennPrint();
-//           System.err.println(srls);
-          parseTrees.add(pt);
-          if (srls.isEmpty()) {
-//            parseTrees.add(pt);
-          } else {
-            for (String srl : srls) {
-//              Tree t = pt.deepCopy();
-              String[] bits = srl.split("\\s+");
-              int verbIndex = Integer.parseInt(bits[0]);
-              String lemma = bits[2].split("\\.")[0];
-//              Tree verb = Trees.getTerminal(t, verbIndex);
-              Tree verb = Trees.getTerminal(pt, verbIndex);
-//              ((CoreLabel)verb.label()).set(SRLIDAnnotation.class, SRL_ID.REL);
-              ((CoreLabel)verb.label()).set(CoreAnnotations.CoNLLPredicateAnnotation.class, true);
-              for (int i = 4; i < bits.length; i++) {
-                String arg = bits[i];
-                String[] bits1;
-                if (arg.indexOf("ARGM") >= 0) {
-                  bits1 = arg.split("-");
-                } else {
-                  bits1 = arg.split("-");
-                }
-                String locs = bits1[0];
-                String argType = bits1[1];
-                if (argType.equals("rel")) {
-                  continue;
-                }
-                for (String loc : locs.split("[*,]")) {
-                  bits1 = loc.split(":");
-                  int term = Integer.parseInt(bits1[0]);
-                  int height = Integer.parseInt(bits1[1]);
-//                  Tree t1 = Trees.getPreTerminal(t, term);
-                  Tree t1 = Trees.getPreTerminal(pt, term);
-                  for (int j = 0; j < height; j++) {
-//                    t1 = t1.parent(t);
-                    t1 = t1.parent(pt);
-                  }
-                  Map<Integer,String> roleMap = ((CoreLabel)t1.label()).get(CoreAnnotations.CoNLLSRLAnnotation.class);
-                  if (roleMap == null) {
-                    roleMap = new HashMap<Integer, String>();
-                    ((CoreLabel)t1.label()).set(CoreAnnotations.CoNLLSRLAnnotation.class, roleMap);
-                  }
-                  roleMap.put(verbIndex, argType);
-//                  ((CoreLabel)t1.label()).set(SRLIDAnnotation.class, SRL_ID.ARG);
-                }
-              }
-//               for (Tree t1 : t) {
-//                 if (t1.isLeaf()) { continue; }
-//                 CoreLabel fl = (CoreLabel)t1.label();
-//                 if (fl.value() == null) { continue; }
-//                 if (!fl.has(SRLIDAnnotation.class)) {
-//                   boolean allNone = true;
-//                   for (Tree t2 : t1) {
-//                     SRL_ID s = ((CoreLabel)t2.label()).get(SRLIDAnnotation.class);
-//                     if (s == SRL_ID.ARG || s == SRL_ID.REL) {
-//                       allNone = false;
-//                       break;
-//                     }
-//                   }
-//                   if (allNone) {
-//                     fl.set(SRLIDAnnotation.class, SRL_ID.ALL_NO);
-//                   } else {
-//                     fl.set(SRLIDAnnotation.class, SRL_ID.NO);
-//                   }
-//                 }
-//               }
-//              parseTrees.add(t);
-            }
-          }
-        }
-
-        sentIndex++;
-      }
-    } catch (IOException e) {
-      System.err.println("loadTree IO Exception: " + e + " in file " + file);
-    } finally {
-      try {
-        if (tr != null) {
-          tr.close();  // important: closes file even if error!
-        }
-      } catch (IOException e) {
-        // do nothin'
-      }
-    }
-  }
-
-
-  /**
-   * Load a collection of parse trees from a Reader.
-   * Each tree may optionally be encased in parens to allow for Penn
-   * Treebank style trees.
-   *
-   * @param r The reader to read trees from.  (If you want it buffered,
-   *    you should already have buffered it!)
-   */
-  public void load(Reader r) {
-    load(r, null);
-  }
-
-  /**
-   * Load a collection of parse trees from a Reader.
-   * Each tree may optionally be encased in parens to allow for Penn
-   * Treebank style trees.
-   *
-   * @param r The reader to read trees from.  (If you want it buffered,
-   *    you should already have buffered it!)
-   * @param id An ID for where these files come from (arbitrary, but
-   *    something like a filename.  Can be <code>null</code> for none.
-   */
-  public void load(Reader r, String id) {
-    try {
-      // could throw an IO exception?
-      TreeReader tr = treeReaderFactory().newTreeReader(r);
-      int sentIndex = 0;
-      for (Tree pt; (pt = tr.readTree()) != null; ) {
-        if (pt.label() instanceof HasIndex) { // so we can trace where this tree came from
-          HasIndex hi = (HasIndex) pt.label();
-          if (id != null) {
-            hi.setDocID(id);
-          }
-          hi.setSentIndex(sentIndex);
-        }
-        parseTrees.add(pt);
-        sentIndex++;
-      }
-    } catch (IOException e) {
-      System.err.println("load IO Exception: " + e);
-    }
-  }
-
-
-  /**
-   * Get a tree by index from the Treebank.
-   * This operation isn't in the <code>Treebank</code> feature set, and
-   * so is only available with a <code>MemoryTreebank</code>, but is
-   * useful in allowing the latter to be used as a <code>List</code>.
-   *
-   * @param i The integer (counting from 0) index of the tree
-   * @return A tree
-   */
-  public Tree get(int i) {
-    return parseTrees.get(i);
-  }
-
-
-  /**
-   * Apply the TreeVisitor tp to all trees in the Treebank.
-   *
-   * @param tp A class that implements the TreeVisitor interface
-   */
-  @Override
-  public void apply(TreeVisitor tp) {
-    for (int i = 0, size = parseTrees.size(); i < size; i++) {
-      tp.visitTree(parseTrees.get(i));
-    }
-    // or could do as Iterator but slower
-    // Iterator iter = parseTrees.iterator();
-    // while (iter.hasNext()) {
-    //    tp.visitTree((Tree) iter.next());
-    // }
-  }
-
-
-  /**
-   * Return an Iterator over Trees in the Treebank.
-   *
-   * @return The iterator
-   */
-  @Override
-  public Iterator<Tree> iterator() {
-    return parseTrees.iterator();
-  }
-
-
-  /**
-   * Returns the size of the Treebank.
-   * Provides a more efficient implementation than the one for a
-   * generic <code>Treebank</code>
-   *
-   * @return the number of trees in the Treebank
-   */
-  @Override
-  public int size() {
-    return parseTrees.size();
-  }
-
-
-  // Extra stuff to implement List interface
-
-  public void add(int index, Tree element) {
-    parseTrees.add(index, element);
-  }
-
-  @Override
-  public boolean add(Tree element) {
-    return parseTrees.add(element);
-  }
-
-
-  public boolean addAll(int index, Collection<? extends Tree> c) {
-    return parseTrees.addAll(index, c);
-  }
-
-  public int indexOf(Object o) {
-    return parseTrees.indexOf(o);
-  }
-
-  public int lastIndexOf(Object o) {
-    return parseTrees.lastIndexOf(o);
-  }
-
-  public Tree remove(int index) {
-    return parseTrees.remove(index);
-  }
-
-  public Tree set(int index, Tree element) {
-    return parseTrees.set(index, element);
-  }
-
-  public ListIterator<Tree> listIterator() {
-    return parseTrees.listIterator();
-  }
-
-  public ListIterator<Tree> listIterator(int index) {
-    return parseTrees.listIterator(index);
-  }
-
-  public List<Tree> subList(int fromIndex, int toIndex) {
-    return parseTrees.subList(fromIndex, toIndex);
-  }
-
-  /**
-   * Return a MemoryTreebank where each
-   * Tree in the current treebank has been transformed using the
-   * TreeTransformer.  This Treebank is unchanged (assuming that the
-   * TreeTransformer correctly doesn't change input Trees).
-   *
-   * @param treeTrans The TreeTransformer to use
-   */
-  @Override
-  public Treebank transform(TreeTransformer treeTrans) {
-    Treebank mtb = new MemoryTreebank(size(), treeReaderFactory());
-    for (Tree t : this) {
-      mtb.add(treeTrans.transformTree(t));
-    }
-    return mtb;
-  }
-
-  /**
-   * Loads treebank grammar from first argument and prints it.
-   * Just a demonstration of functionality. <br>
-   * <code>usage: java MemoryTreebank treebankFilesPath</code>
-   *
-   * @param args array of command-line arguments
-   */
-  public static void main(String[] args) {
-    Timing.startTime();
-    Treebank treebank = new MemoryTreebank(new TreeReaderFactory() {
-      public TreeReader newTreeReader(Reader in) {
-        return new PennTreeReader(in, new LabeledScoredTreeFactory());
-      }
-    });
-    treebank.loadPath(args[0]);
-    Timing.endTime();
-    System.out.println(treebank);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/ModCollinsHeadFinder.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/ModCollinsHeadFinder.java
deleted file mode 100644
index 5b213f1..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/ModCollinsHeadFinder.java
+++ /dev/null
@@ -1,142 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.util.HashMap;
-
-/**
- * Implements a variant on the HeadFinder found in Michael Collins' 1999
- * thesis. This starts with
- * Collins' head finder. As in <code>CollinsHeadFinder.java</code>, we've
- * added a head rule for NX.
- *
- * Changes:
- * <ol>
- * <li>The PRN rule used to just take the leftmost thing, we now have it
- * choose the leftmost lexical category (not the common punctuation etc.)
- * <li>Delete IN as a possible head of S, and add FRAG (low priority)
- * <li>Place NN before QP in ADJP head rules (more to do for ADJP!)
- * <li>Place PDT before RB and after CD in QP rules.  Also prefer CD to
- * DT or RB.  And DT to RB.
- * <li>Add DT, WDT as low priority choice for head of NP. Add PRP before PRN
- * Add RBR as low priority choice of head for NP.
- * <li>Prefer NP or NX as head of NX, and otherwise default to rightmost not
- * leftmost (NP-like headedness)
- * <li>VP: add JJ and NNP as low priority heads (many tagging errors)
- *   Place JJ above NP in priority, as it is to be preferred to NP object.
- * <li>PP: add PP as a possible head (rare conjunctions)
- * <li>Added rule for POSSP (can be introduced by parser)
- * <li>Added a sensible-ish rule for X.
- * <li>Added NML head rules, which are the same as for NP.
- * <li>NP head rule: NP and NML are treated almost identically (NP has precedence)
- * <li>NAC head rule: NML comes after NN/NNS but after NNP/NNPS
- * <li>PP head rule: JJ added
- * <li>Added JJP (appearing in David Vadas's annotation), which seems to play
- * the same role as ADJP.
- * </ol>
- * These rules are suitable for the Penn Treebank.
- * <p/>
- * A case that you apparently just can't handle well in this framework is
- * (NP (NP ... NP)).  If this is a conjunction, apposition or similar, then
- * the leftmost NP is the head, but if the first is a measure phrase like
- * (NP $ 38) (NP a share) then the second should probably be the head.
- *
- * @author Christopher Manning
- * @author Michel Galley
- */
-public class ModCollinsHeadFinder extends CollinsHeadFinder {
-
-  static String[] leftExceptPunct = {"leftexcept", "''", "``", "-LRB-", "-RRB-", ".", ":", ","};
-  static String[] rightExceptPunct = {"rightexcept", "''", "``", "-LRB-", "-RRB-", ".", ":", ","};
-  static String[] allPunct = {"''", "``", "-LRB-", "-RRB-", ".", ":", ","};
-
-  public ModCollinsHeadFinder() {
-    this(new PennTreebankLanguagePack());
-    setCategoriesToAvoid(allPunct);
-  }
-
-  public ModCollinsHeadFinder(TreebankLanguagePack tlp) {
-    nonTerminalInfo = new HashMap<String, String[][]>();
-
-    // This version from Collins' diss (1999: 236-238)
-    // NNS, NN is actually sensible (money, etc.)!
-    // QP early isn't; should prefer JJR NN RB
-    // remove ADVP; it just shouldn't be there.
-    // if two JJ, should take right one (e.g. South Korean)
-    // nonTerminalInfo.put("ADJP", new String[][]{{"left", "NNS", "NN", "$", "QP"}, {"right", "JJ"}, {"left", "VBN", "VBG", "ADJP", "JJP", "JJR", "NP", "JJS", "DT", "FW", "RBR", "RBS", "SBAR", "RB"}});
-    nonTerminalInfo.put("ADJP", new String[][]{{"left", "$"}, {"rightdis", "NNS", "NN", "JJ", "QP", "VBN", "VBG"}, {"left", "ADJP"}, {"rightdis", "JJP", "JJR", "JJS", "DT", "RB", "RBR", "CD", "IN", "VBD"}, {"left", "ADVP", "NP"}, rightExceptPunct });
-    nonTerminalInfo.put("JJP", new String[][]{{"left", "NNS", "NN", "$", "QP", "JJ", "VBN", "VBG", "ADJP", "JJP", "JJR", "NP", "JJS", "DT", "FW", "RBR", "RBS", "SBAR", "RB"}});  // JJP is introduced for NML-like adjective phrases in Vadas' treebank; Chris wishes he hadn't used JJP which should be a POS-tag.
-    // ADVP rule rewritten by Chris in Nov 2010 to be rightdis.  This is right! JJ.* is often head and rightmost.
-    nonTerminalInfo.put("ADVP", new String[][]{{"left", "ADVP", "IN"},
-                                               {"rightdis", "RB", "RBR", "RBS", "JJ", "JJR", "JJS"},
-                                               {"rightdis", "RP", "DT", "NN", "CD", "NP", "VBN", "NNP", "CC", "FW", "NNS", "ADJP", "NML"},
-                                               rightExceptPunct});
-    nonTerminalInfo.put("CONJP", new String[][]{{"right", "CC", "RB", "IN"}});
-    nonTerminalInfo.put("FRAG", new String[][]{rightExceptPunct}); // crap
-    nonTerminalInfo.put("INTJ", new String[][]{{"left"}});
-    nonTerminalInfo.put("LST", new String[][]{{"right", "LS", ":"}});
-
-    // NML is head in: (NAC-LOC (NML San Antonio) (, ,) (NNP Texas))
-    // TODO: NNP should be head (rare cases, could be ignored):
-    //   (NAC (NML New York) (NNP Court) (PP of Appeals))
-    //   (NAC (NML Prudential Insurance) (NNP Co.) (PP Of America))
-    // Chris: This could maybe still do with more thought, but NAC is rare.
-    nonTerminalInfo.put("NAC", new String[][]{{"left", "NN", "NNS", "NML", "NNP", "NNPS", "NP", "NAC", "EX", "$", "CD", "QP", "PRP", "VBG", "JJ", "JJS", "JJR", "ADJP", "JJP", "FW"}});
-    nonTerminalInfo.put("NX", new String[][]{{"right", "NP", "NX"}});
-
-    // Added JJ to PP head table, since it is a head in several cases, e.g.:
-    // (PP (JJ next) (PP to them))
-    // When you have both JJ and IN daughters, it is invariably "such as" -- not so clear which should be head, but leave as IN
-    // should prefer JJ? (PP (JJ such) (IN as) (NP (NN crocidolite)))  Michel thinks we should make JJ a head of PP
-    nonTerminalInfo.put("PP", new String[][]{{"right", "IN", "TO", "VBG", "VBN", "RP", "FW", "JJ"}, {"right", "PP"}});
-
-    nonTerminalInfo.put("PRN", new String[][]{{"left", "VP", "NP", "PP", "SQ", "S", "SINV", "SBAR", "ADJP", "JJP", "ADVP", "INTJ", "WHNP", "NAC", "VBP", "JJ", "NN", "NNP"}, leftExceptPunct});
-    nonTerminalInfo.put("PRT", new String[][]{{"right", "RP"}});
-    // add '#' for pounds!!
-    nonTerminalInfo.put("QP", new String[][]{{"left", "$", "IN", "NNS", "NN", "JJ", "CD", "PDT", "DT", "RB", "NCD", "QP", "JJR", "JJS"}});
-    nonTerminalInfo.put("RRC", new String[][]{{"right", "VP", "NP", "ADVP", "ADJP", "JJP", "PP"}});
-
-    // delete IN -- go for main part of sentence; add FRAG
-
-    nonTerminalInfo.put("S", new String[][]{{"left", "TO", "VP", "S", "FRAG", "SBAR", "ADJP", "JJP", "UCP", "NP"}});
-    nonTerminalInfo.put("SBAR", new String[][]{{"left", "WHNP", "WHPP", "WHADVP", "WHADJP", "IN", "DT", "S", "SQ", "SINV", "SBAR", "FRAG"}});
-    nonTerminalInfo.put("SBARQ", new String[][]{{"left", "SQ", "S", "SINV", "SBARQ", "FRAG", "SBAR"}, leftExceptPunct});
-    // cdm: if you have 2 VP under an SINV, you should really take the 2nd as syntactic head, because the first is a topicalized VP complement of the second, but for now I didn't change this, since it didn't help parsing.  (If it were changed, it'd need to be also changed to the opposite in SemanticHeadFinder.)
-    nonTerminalInfo.put("SINV", new String[][]{{"left", "VBZ", "VBD", "VBP", "VB", "MD", "VBN", "VP", "S", "SINV", "ADJP", "JJP", "NP"}});
-    nonTerminalInfo.put("SQ", new String[][]{{"left", "VBZ", "VBD", "VBP", "VB", "MD", "AUX", "AUXG", "VP", "SQ"}});  // TODO: Should maybe put S before SQ for tag questions. Check.
-    nonTerminalInfo.put("UCP", new String[][]{rightExceptPunct});
-    // below is weird!! Make 2 lists, one for good and one for bad heads??
-    // VP: added AUX and AUXG to work with Charniak tags
-    nonTerminalInfo.put("VP", new String[][]{{"left", "TO", "VBD", "VBN", "MD", "VBZ", "VB", "VBG", "VBP", "VP", "AUX", "AUXG", "ADJP", "JJP", "NN", "NNS", "JJ", "NP", "NNP"}});
-    nonTerminalInfo.put("WHADJP", new String[][]{{"left", "WRB", "WHADVP", "RB", "JJ", "ADJP", "JJP", "JJR"}});
-    nonTerminalInfo.put("WHADVP", new String[][]{{"right", "WRB", "WHADVP"}});
-    nonTerminalInfo.put("WHNP", new String[][]{{"left", "WDT", "WP", "WP$", "WHADJP", "WHPP", "WHNP"}});
-    nonTerminalInfo.put("WHPP", new String[][]{{"right", "IN", "TO", "FW"}});
-    nonTerminalInfo.put("X", new String[][]{{"right", "S", "VP", "ADJP", "JJP", "NP", "SBAR", "PP", "X"}, rightExceptPunct});
-    nonTerminalInfo.put("NP", new String[][]{{"rightdis", "NN", "NNP", "NNPS", "NNS", "NML", "NX", "POS", "JJR"}, {"left", "NP", "PRP"}, {"rightdis", "$", "ADJP", "JJP", "PRN", "FW"}, {"right", "CD"}, {"rightdis", "JJ", "JJS", "RB", "QP", "DT", "WDT", "RBR", "ADVP"}, rightExceptPunct});
-    // TODO: seems JJ should be head of NML in this case:
-    // (NP (NML (JJ former) (NML Red Sox) (JJ great)) (NNP Luis) (NNP Tiant)),
-    nonTerminalInfo.put("NML", new String[][]{{"rightdis", "NN", "NNP", "NNPS", "NNS", "NX", "NML", "POS", "JJR"}, {"left", "NP", "PRP"}, {"rightdis", "$", "ADJP", "JJP", "PRN"}, {"right", "CD"}, {"rightdis", "JJ", "JJS", "RB", "QP", "DT", "WDT", "RBR", "ADVP"}, rightExceptPunct});
-
-    nonTerminalInfo.put("POSSP", new String[][]{{"right", "POS"}});
-
-	/* HJT: Adding the following to deal with oddly formed data in
-	 (for example) the Brown corpus */
-    nonTerminalInfo.put("ROOT", new String[][]{{"left", "S", "SQ", "SINV", "SBAR", "FRAG"}});
-    nonTerminalInfo.put("TYPO", new String[][]{{"left", "NN", "NP", "NML", "NNP", "NNPS", "TO",
-      "VBD", "VBN", "MD", "VBZ", "VB", "VBG", "VBP", "VP", "ADJP", "JJP", "FRAG"}}); // for Brown (Roger)
-    nonTerminalInfo.put("ADV", new String[][]{{"right", "RB", "RBR", "RBS", "FW",
-      "ADVP", "TO", "CD", "JJR", "JJ", "IN", "NP", "NML", "JJS", "NN"}});
-
-    // SWBD
-    nonTerminalInfo.put("EDITED", new String[][] {{"left"}});  // crap rule for Switchboard (if don't delete EDITED nodes)
-    // in sw2756, a "VB". (copy "VP" to handle this problem, though should really fix it on reading)
-    nonTerminalInfo.put("VB", new String[][]{{"left", "TO", "VBD", "VBN", "MD", "VBZ", "VB", "VBG", "VBP", "VP", "AUX", "AUXG", "ADJP", "JJP", "NN", "NNS", "JJ", "NP", "NNP"}});
-
-    nonTerminalInfo.put("META", new String[][] {{"left"}});  // rule for OntoNotes, but maybe should just be deleted to TreeReader??
-    nonTerminalInfo.put("XS", new String[][] {{"right", "IN"}}); // rule for new structure in QP, introduced by Stanford in QPTreeTransformer
-
-    // nonTerminalInfo.put(null, new String[][] {{"left"}});  // rule for OntoNotes from Michel, but it would be better to fix this in TreeReader or to use a default rule?
-  }
-
-  private static final long serialVersionUID = -5870387458902637256L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/NPTmpRetainingTreeNormalizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/NPTmpRetainingTreeNormalizer.java
deleted file mode 100644
index 305f4d5..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/NPTmpRetainingTreeNormalizer.java
+++ /dev/null
@@ -1,551 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.LabelFactory;
-import edu.stanford.nlp.util.Filter;
-
-import java.io.Reader;
-import java.util.regex.Pattern;
-import java.util.*;
-
-
-/**
- * Same TreeNormalizer as BobChrisTreeNormalizer, but optionally provides
- * four extras.  I.e., the class name is now a misnomer.<br>
- * 1) retains -TMP labels on NP with the new identification NP-TMP,
- * and provides various options to percolate that option downwards
- * to the head noun, and perhaps also to inherit this from a PP-TMP.<br>
- * 2) Annotates S nodes which contain a gapped subject: i.e.,
- * <code>S &lt; (/^NP-SBJ/ &lt; -NONE-) --> S-G</code>  <br>
- * 3) Leave all functional tags on nodes. <br>
- * 4) Keeps -ADV labels on NP and marks head tag with &`^ADV
- * <p/>
- * <i>Performance note:</i> At one point in time, PCFG labeled F1 results
- * for the various TEMPORAL options in lexparser were:
- * 0=86.7, 1=87.49, 2=86.87, 3=87.49, 4=87.48, 5=87.5, 6=87.07.
- * So, mainly avoid values of 0, 2, and 6.
- * <p/>
- * At another point they were:
- * 0=86.53, 1=87.1, 2=87.14, 3=87.22, 4=87.1, 5=87.13, 6=86.95, 7=87.16
- *
- * @author Christopher Manning
- * @author Dan Klein
- */
-public class NPTmpRetainingTreeNormalizer extends BobChrisTreeNormalizer {
-
-  private static final long serialVersionUID = 7548777133196579107L;
-
-  public static final int TEMPORAL_NONE = 0;
-  public static final int TEMPORAL_ACL03PCFG = 1;
-  public static final int TEMPORAL_ANY_TMP_PERCOLATED = 2;
-  public static final int TEMPORAL_ALL_TERMINALS = 3;
-  public static final int TEMPORAL_ALL_NP = 4;
-  public static final int TEMPORAL_ALL_NP_AND_PP = 5;
-  public static final int TEMPORAL_NP_AND_PP_WITH_NP_HEAD = 6;
-  public static final int TEMPORAL_ALL_NP_EVEN_UNDER_PP = 7;
-  public static final int TEMPORAL_ALL_NP_PP_ADVP = 8;
-  public static final int TEMPORAL_9 = 9;
-
-  private static final boolean onlyTagAnnotateNstar = true;
-
-  private static final Pattern NPTmpPattern = Pattern.compile("NP.*-TMP.*");
-  private static final Pattern PPTmpPattern = Pattern.compile("PP.*-TMP.*");
-  private static final Pattern ADVPTmpPattern = Pattern.compile("ADVP.*-TMP.*");
-  private static final Pattern TmpPattern = Pattern.compile(".*-TMP.*");
-  private static final Pattern NPSbjPattern = Pattern.compile("NP.*-SBJ.*");
-  private static final Pattern NPAdvPattern = Pattern.compile("NP.*-ADV.*");
-
-  private final int temporalAnnotation;
-  private final boolean doSGappedStuff;
-  private final int leaveItAll;
-  private final boolean doAdverbialNP;
-  private final HeadFinder headFinder;
-
-
-  public NPTmpRetainingTreeNormalizer() {
-    this(TEMPORAL_ACL03PCFG, false);
-  }
-
-  public NPTmpRetainingTreeNormalizer(int temporalAnnotation, boolean doSGappedStuff) {
-    this(temporalAnnotation, doSGappedStuff, 0, false);
-  }
-
-  public NPTmpRetainingTreeNormalizer(int temporalAnnotation, boolean doSGappedStuff, int leaveItAll, boolean doAdverbialNP) {
-    this(temporalAnnotation, doSGappedStuff, leaveItAll, doAdverbialNP, new ModCollinsHeadFinder());
-  }
-
-  /**
-   * Create a TreeNormalizer that maintains some functional annotations,
-   * particularly those involving temporal annotation.
-   *
-   * @param temporalAnnotation One of the constants:
-   *                           TEMPORAL_NONE (no temporal annotation kept on trees),
-   *                           TEMPORAL_ACL03PCFG (temporal annotation on NPs, and percolated down
-   *                           to head of constituent until and including POS tag),
-   *                           TEMPORAL_ANY_TMP_PERCOLATED (temporal annotation on any phrase is
-   *                           kept and percolated via head chain to and including POS tag),
-   *                           TEMPORAL_ALL_TERMINALS (temporal annotation is kept on NPs, and
-   *                           is placed on all POS tag daughters of that NP (but is not
-   *                           percolated down a head chain through phrasal categories),
-   *                           TEMPORAL_ALL_NP (temporal annotation on NPs, and it is percolated
-   *                           down via the head chain, but only through NPs: annotation stops
-   *                           at either a POS tag (which is annotated) or a non-NP head
-   *                           (which isn't annotated)),
-   *                           TEMPORAL_ALL_NP_AND_PP (keeps temporal annotation on NPs and PPs,
-   *                           and it is percolated down via the head chain, but only through
-   *                           NPs: annotation stops at either a POS tag (which is annotated)
-   *                           or a non-NP head (which isn't annotated)).
-   *                           TEMPORAL_NP_AND_PP_WITH_NP_HEAD (like TEMPORAL_ALL_NP_AND_PP
-   *                           except an NP is regarded as the head of a PP)
-   *                           TEMPORAL_ALL_NP_EVEN_UNDER_PP (like TEMPORAL_ALL_NP, but a PP-TMP
-   *                           annotation above an NP is 'passed down' to annotate that NP
-   *                           as temporal (but the PP itself isn't marked))
-   *                           TEMPORAL_ALL_NP_PP_ADVP (keeps temporal annotation on NPs, PPs, and
-   *                           ADVPs
-   *                           and it is percolated down via the head chain, but only through
-   *                           those categories: annotation stops at either a POS tag
-   *                           (which is annotated)
-   *                           or a non-NP/PP/ADVP head (which isn't annotated)),
-   *                           TEMPORAL_9 (annotates like the previous one but
-   *                           does all NP inside node, and their children if
-   *                           pre-pre-terminal rather than only if head).
-   * @param doSGappedStuff     Leave -SBJ marking on subject NP and then mark
-   *                           S-G sentences with a gapped subject.
-   * @param leaveItAll         0 means the usual stripping of functional tags and indices;
-   *                           1 leaves all functional tags but still strips indices;
-   *                           2 leaves everything
-   * @param doAdverbialNP      Leave -ADV functional tag on adverbial NPs and
-   *                           maybe add it to their head
-   * @param headFinder         A head finder that is used with some of the
-   *                           options for temporalAnnotation
-   */
-  public NPTmpRetainingTreeNormalizer(int temporalAnnotation, boolean doSGappedStuff, int leaveItAll, boolean doAdverbialNP, HeadFinder headFinder) {
-    this.temporalAnnotation = temporalAnnotation;
-    this.doSGappedStuff = doSGappedStuff;
-    this.leaveItAll = leaveItAll;
-    this.doAdverbialNP = doAdverbialNP;
-    this.headFinder = headFinder;
-  }
-
-
-  /**
-   * Remove things like hyphened functional tags and equals from the
-   * end of a node label.
-   */
-  @Override
-  protected String cleanUpLabel(String label) {
-    if (label == null) {
-      return "ROOT";
-      // String constants are always interned
-    } else if (leaveItAll == 1) {
-      return tlp.categoryAndFunction(label);
-    } else if (leaveItAll == 2) {
-      return label;
-    } else {
-      boolean nptemp = NPTmpPattern.matcher(label).matches();
-      boolean pptemp = PPTmpPattern.matcher(label).matches();
-      boolean advptemp = ADVPTmpPattern.matcher(label).matches();
-      boolean anytemp = TmpPattern.matcher(label).matches();
-      boolean subj = NPSbjPattern.matcher(label).matches();
-      boolean npadv = NPAdvPattern.matcher(label).matches();
-      label = tlp.basicCategory(label);
-      if (anytemp && temporalAnnotation == TEMPORAL_ANY_TMP_PERCOLATED) {
-        label += "-TMP";
-      } else if (pptemp && (temporalAnnotation == TEMPORAL_ALL_NP_AND_PP || temporalAnnotation == TEMPORAL_NP_AND_PP_WITH_NP_HEAD || temporalAnnotation == TEMPORAL_ALL_NP_EVEN_UNDER_PP || temporalAnnotation == TEMPORAL_ALL_NP_PP_ADVP || temporalAnnotation == TEMPORAL_9)) {
-        label = label + "-TMP";
-      } else if (advptemp && (temporalAnnotation == TEMPORAL_ALL_NP_PP_ADVP || temporalAnnotation == TEMPORAL_9)) {
-        label = label + "-TMP";
-      } else if (temporalAnnotation > 0 && nptemp) {
-        label = label + "-TMP";
-      }
-      if (doAdverbialNP && npadv) {
-        label = label + "-ADV";
-      }
-      if (doSGappedStuff && subj) {
-        label = label + "-SBJ";
-      }
-      return label;
-    }
-  }
-
-
-  private static boolean includesEmptyNPSubj(Tree t) {
-    if (t == null) {
-      return false;
-    }
-    Tree[] kids = t.children();
-    if (kids == null) {
-      return false;
-    }
-    boolean foundNullSubj = false;
-    for (int i = 0; i < kids.length; i++) {
-      Tree[] kidkids = kids[i].children();
-      if (NPSbjPattern.matcher(kids[i].value()).matches()) {
-        kids[i].setValue("NP");
-        if (kidkids != null && kidkids.length == 1 && kidkids[0].value().equals("-NONE-")) {
-          // only set flag, since there are 2 a couple of times (errors)
-          foundNullSubj = true;
-        }
-      }
-    }
-    return foundNullSubj;
-  }
-
-
-  /**
-   * Normalize a whole tree -- one can assume that this is the root.
-   * This implementation deletes empty elements (ones with nonterminal
-   * tag label '-NONE-') from the tree.
-   */
-  @Override
-  public Tree normalizeWholeTree(Tree tree, TreeFactory tf) {
-    TreeTransformer transformer1 = new TreeTransformer() {
-      public Tree transformTree(Tree t) {
-        if (doSGappedStuff) {
-          String lab = t.label().value();
-          if (lab.equals("S") && includesEmptyNPSubj(t)) {
-            LabelFactory lf = t.label().labelFactory();
-            // Note: this changes the tree label, rather than
-            // creating a new tree node.  Beware!
-            t.setLabel(lf.newLabel(t.label().value() + "-G"));
-          }
-        }
-        return t;
-      }
-    };
-    Filter<Tree> subtreeFilter = new Filter<Tree>() {
-      /**
-       * 
-       */
-      private static final long serialVersionUID = -7250433816896327901L;
-
-      public boolean accept(Tree t) {
-        Tree[] kids = t.children();
-        Label l = t.label();
-        // The special Switchboard non-terminals clause.
-        // Note that it deletes IP which other Treebanks might use!
-        if ("RS".equals(t.label().value()) || "RM".equals(t.label().value()) || "IP".equals(t.label().value()) || "CODE".equals(t.label().value())) {
-          return false;
-        }
-        if ((l != null) && l.value() != null && (l.value().equals("-NONE-")) && !t.isLeaf() && kids.length == 1 && kids[0].isLeaf()) {
-          // Delete empty/trace nodes (ones marked '-NONE-')
-          return false;
-        }
-        return true;
-      }
-    };
-    Filter<Tree> nodeFilter = new Filter<Tree>() {
-      /**
-       * 
-       */
-      private static final long serialVersionUID = 9000955019205336311L;
-
-      public boolean accept(Tree t) {
-        if (t.isLeaf() || t.isPreTerminal()) {
-          return true;
-        }
-        // The special switchboard non-terminals clause. Try keeping EDITED for now....
-        // if ("EDITED".equals(t.label().value())) {
-        //   return false;
-        // }
-        if (t.numChildren() != 1) {
-          return true;
-        }
-        if (t.label() != null && t.label().value() != null && t.label().value().equals(t.children()[0].label().value())) {
-          return false;
-        }
-        return true;
-      }
-    };
-    TreeTransformer transformer2 = new TreeTransformer() {
-      public Tree transformTree(Tree t) {
-        if (temporalAnnotation == TEMPORAL_ANY_TMP_PERCOLATED) {
-          String lab = t.label().value();
-          if (TmpPattern.matcher(lab).matches()) {
-            Tree oldT = t;
-            Tree ht;
-            do {
-              ht = headFinder.determineHead(oldT);
-              // special fix for possessives! -- make noun before head
-              if (ht.label().value().equals("POS")) {
-                int j = oldT.indexOf(ht);
-                if (j > 0) {
-                  ht = oldT.getChild(j - 1);
-                }
-              }
-              LabelFactory lf = ht.label().labelFactory();
-              // Note: this changes the tree label, rather than
-              // creating a new tree node.  Beware!
-              ht.setLabel(lf.newLabel(ht.label().value() + "-TMP"));
-              oldT = ht;
-            } while (!ht.isPreTerminal());
-            if (lab.startsWith("PP")) {
-              ht = headFinder.determineHead(t);
-              // look to right
-              int j = t.indexOf(ht);
-              int sz = t.children().length;
-              if (j + 1 < sz) {
-                ht = t.getChild(j + 1);
-              }
-              if (ht.label().value().startsWith("NP")) {
-                while (!ht.isLeaf()) {
-                  LabelFactory lf = ht.label().labelFactory();
-                  // Note: this changes the tree label, rather than
-                  // creating a new tree node.  Beware!
-                  ht.setLabel(lf.newLabel(ht.label().value() + "-TMP"));
-                  ht = headFinder.determineHead(ht);
-                }
-              }
-            }
-          }
-        } else if (temporalAnnotation == TEMPORAL_ALL_TERMINALS) {
-          String lab = t.label().value();
-          if (NPTmpPattern.matcher(lab).matches()) {
-            Tree ht;
-            ht = headFinder.determineHead(t);
-            if (ht.isPreTerminal()) {
-              // change all tags to -TMP
-              LabelFactory lf = ht.label().labelFactory();
-              Tree[] kids = t.children();
-              for (int i = 0; i < kids.length; i++) {
-                if (kids[i].isPreTerminal()) {
-                  // Note: this changes the tree label, rather
-                  // than creating a new tree node.  Beware!
-                  kids[i].setLabel(lf.newLabel(kids[i].value() + "-TMP"));
-                }
-              }
-            } else {
-              Tree oldT = t;
-              do {
-                ht = headFinder.determineHead(oldT);
-                oldT = ht;
-              } while (!ht.isPreTerminal());
-              LabelFactory lf = ht.label().labelFactory();
-              // Note: this changes the tree label, rather than
-              // creating a new tree node.  Beware!
-              ht.setLabel(lf.newLabel(ht.label().value() + "-TMP"));
-            }
-          }
-        } else if (temporalAnnotation == TEMPORAL_ALL_NP) {
-          String lab = t.label().value();
-          if (NPTmpPattern.matcher(lab).matches()) {
-            Tree oldT = t;
-            Tree ht;
-            do {
-              ht = headFinder.determineHead(oldT);
-              // special fix for possessives! -- make noun before head
-              if (ht.label().value().equals("POS")) {
-                int j = oldT.indexOf(ht);
-                if (j > 0) {
-                  ht = oldT.getChild(j - 1);
-                }
-              }
-              if (ht.isPreTerminal() || ht.value().startsWith("NP")) {
-                LabelFactory lf = ht.labelFactory();
-                // Note: this changes the tree label, rather than
-                // creating a new tree node.  Beware!
-                ht.setLabel(lf.newLabel(ht.label().value() + "-TMP"));
-                oldT = ht;
-              }
-            } while (ht.value().startsWith("NP"));
-          }
-        } else if (temporalAnnotation == TEMPORAL_ALL_NP_AND_PP || temporalAnnotation == TEMPORAL_NP_AND_PP_WITH_NP_HEAD || temporalAnnotation == TEMPORAL_ALL_NP_EVEN_UNDER_PP) {
-          // also allow chain to start with PP
-          String lab = t.value();
-          if (NPTmpPattern.matcher(lab).matches() || PPTmpPattern.matcher(lab).matches()) {
-            Tree oldT = t;
-            do {
-              Tree ht = headFinder.determineHead(oldT);
-              // special fix for possessives! -- make noun before head
-              if (ht.value().equals("POS")) {
-                int j = oldT.indexOf(ht);
-                if (j > 0) {
-                  ht = oldT.getChild(j - 1);
-                }
-              } else if ((temporalAnnotation == TEMPORAL_NP_AND_PP_WITH_NP_HEAD || temporalAnnotation == TEMPORAL_ALL_NP_EVEN_UNDER_PP) && (ht.value().equals("IN") || ht.value().equals("TO"))) {
-                // change the head to be NP if possible
-                Tree[] kidlets = oldT.children();
-                for (int k = kidlets.length - 1; k > 0; k--) {
-                  if (kidlets[k].value().startsWith("NP")) {
-                    ht = kidlets[k];
-                  }
-                }
-              }
-              LabelFactory lf = ht.labelFactory();
-              // Note: this next bit changes the tree label, rather
-              // than creating a new tree node.  Beware!
-              if (ht.isPreTerminal() || ht.value().startsWith("NP")) {
-                ht.setLabel(lf.newLabel(ht.value() + "-TMP"));
-              }
-              if (temporalAnnotation == TEMPORAL_ALL_NP_EVEN_UNDER_PP && oldT.value().startsWith("PP")) {
-                oldT.setLabel(lf.newLabel(tlp.basicCategory(oldT.value())));
-              }
-              oldT = ht;
-            } while (oldT.value().startsWith("NP") || oldT.value().startsWith("PP"));
-          }
-        } else if (temporalAnnotation == TEMPORAL_ALL_NP_PP_ADVP) {
-          // also allow chain to start with PP or ADVP
-          String lab = t.value();
-          if (NPTmpPattern.matcher(lab).matches() || PPTmpPattern.matcher(lab).matches() || ADVPTmpPattern.matcher(lab).matches()) {
-            Tree oldT = t;
-            do {
-              Tree ht = headFinder.determineHead(oldT);
-              // special fix for possessives! -- make noun before head
-              if (ht.value().equals("POS")) {
-                int j = oldT.indexOf(ht);
-                if (j > 0) {
-                  ht = oldT.getChild(j - 1);
-                }
-              }
-              // Note: this next bit changes the tree label, rather
-              // than creating a new tree node.  Beware!
-              if (ht.isPreTerminal() || ht.value().startsWith("NP")) {
-                LabelFactory lf = ht.labelFactory();
-                ht.setLabel(lf.newLabel(ht.value() + "-TMP"));
-              }
-              oldT = ht;
-            } while (oldT.value().startsWith("NP"));
-          }
-        } else if (temporalAnnotation == TEMPORAL_9) {
-          // also allow chain to start with PP or ADVP
-          String lab = t.value();
-          if (NPTmpPattern.matcher(lab).matches() || PPTmpPattern.matcher(lab).matches() || ADVPTmpPattern.matcher(lab).matches()) {
-            // System.err.println("TMP: Annotating " + t);
-            addTMP9(t);
-          }
-        } else if (temporalAnnotation == TEMPORAL_ACL03PCFG) {
-          String lab = t.label().value();
-          if (lab != null && NPTmpPattern.matcher(lab).matches()) {
-            Tree oldT = t;
-            Tree ht;
-            do {
-              ht = headFinder.determineHead(oldT);
-              // special fix for possessives! -- make noun before head
-              if (ht.label().value().equals("POS")) {
-                int j = oldT.indexOf(ht);
-                if (j > 0) {
-                  ht = oldT.getChild(j - 1);
-                }
-              }
-              oldT = ht;
-            } while (!ht.isPreTerminal());
-            if ( ! onlyTagAnnotateNstar || ht.label().value().startsWith("N")) {
-              LabelFactory lf = ht.label().labelFactory();
-              // Note: this changes the tree label, rather than
-              // creating a new tree node.  Beware!
-              ht.setLabel(lf.newLabel(ht.label().value() + "-TMP"));
-            }
-          }
-        }
-        if (doAdverbialNP) {
-          String lab = t.value();
-          if (NPAdvPattern.matcher(lab).matches()) {
-            Tree oldT = t;
-            Tree ht;
-            do {
-              ht = headFinder.determineHead(oldT);
-              // special fix for possessives! -- make noun before head
-              if (ht.label().value().equals("POS")) {
-                int j = oldT.indexOf(ht);
-                if (j > 0) {
-                  ht = oldT.getChild(j - 1);
-                }
-              }
-              if (ht.isPreTerminal() || ht.value().startsWith("NP")) {
-                LabelFactory lf = ht.labelFactory();
-                // Note: this changes the tree label, rather than
-                // creating a new tree node.  Beware!
-                ht.setLabel(lf.newLabel(ht.label().value() + "-ADV"));
-                oldT = ht;
-              }
-            } while (ht.value().startsWith("NP"));
-          }
-        }
-        return t;
-      }
-    };
-    // if there wasn't an empty nonterminal at the top, but an S, wrap it.
-    if (tree.label().value().equals("S")) {
-      tree = tf.newTreeNode("ROOT", Collections.singletonList(tree));
-    }
-    // repair for the phrasal VB in Switchboard (PTB version 3) that should be a VP
-    for (Tree subtree : tree) {
-      if (subtree.isPhrasal() && "VB".equals(subtree.label().value())) {
-        subtree.setValue("VP");
-      }
-    }
-    tree = tree.transform(transformer1);
-    if (tree == null) { return null; }
-    tree = tree.prune(subtreeFilter, tf);
-    if (tree == null) { return null; }
-    tree = tree.spliceOut(nodeFilter, tf);
-    if (tree == null) { return null; }
-    return tree.transform(transformer2, tf);
-  }
-
-  /**
-   * Add -TMP when not present within an NP
-   * @param tree The tree to add temporal info to.
-   */
-  private void addTMP9(final Tree tree) {
-    // do the head chain under it
-    Tree ht = headFinder.determineHead(tree);
-    // special fix for possessives! -- make noun before head
-    if (ht.value().equals("POS")) {
-      int j = tree.indexOf(ht);
-      if (j > 0) {
-        ht = tree.getChild(j - 1);
-      }
-    }
-    // Note: this next bit changes the tree label, rather
-    // than creating a new tree node.  Beware!
-    if (ht.isPreTerminal() || ht.value().startsWith("NP") ||
-        ht.value().startsWith("PP") || ht.value().startsWith("ADVP")) {
-      if (!TmpPattern.matcher(ht.value()).matches()) {
-        LabelFactory lf = ht.labelFactory();
-        // System.err.println("TMP: Changing " + ht.value() + " to " +
-        //                   ht.value() + "-TMP");
-        ht.setLabel(lf.newLabel(ht.value() + "-TMP"));
-      }
-      if (ht.value().startsWith("NP") || ht.value().startsWith("PP") ||
-          ht.value().startsWith("ADVP")) {
-        addTMP9(ht);
-      }
-    }
-    // do the NPs under it (which may or may not be the head chain
-    Tree[] kidlets = tree.children();
-    for (int k = 0; k < kidlets.length; k++) {
-      ht = kidlets[k];
-      LabelFactory lf;
-      if (tree.isPrePreTerminal() && !TmpPattern.matcher(ht.value()).matches()) {
-        // System.err.println("TMP: Changing " + ht.value() + " to " +
-        //                   ht.value() + "-TMP");
-        lf = ht.labelFactory();
-        // Note: this next bit changes the tree label, rather
-        // than creating a new tree node.  Beware!
-        ht.setLabel(lf.newLabel(ht.value() + "-TMP"));
-      } else if (ht.value().startsWith("NP")) {
-        // don't add -TMP twice!
-        if (!TmpPattern.matcher(ht.value()).matches()) {
-          lf = ht.labelFactory();
-          // System.err.println("TMP: Changing " + ht.value() + " to " +
-          //                   ht.value() + "-TMP");
-          // Note: this next bit changes the tree label, rather
-          // than creating a new tree node.  Beware!
-          ht.setLabel(lf.newLabel(ht.value() + "-TMP"));
-        }
-        addTMP9(ht);
-      }
-    }
-  }
-
-  /** Implementation of TreeReaderFactory, mainly for convenience of constructing by reflection */
-  public static class NPTmpRetainingTreeReaderFactory implements TreeReaderFactory {
-
-    public TreeReader newTreeReader(Reader in) {
-      return new PennTreeReader(in, new LabeledScoredTreeFactory(), new NPTmpRetainingTreeNormalizer());
-    }
-
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/NamedDependency.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/NamedDependency.java
deleted file mode 100644
index ffc84dc..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/NamedDependency.java
+++ /dev/null
@@ -1,153 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.StringLabel;
-import edu.stanford.nlp.util.ErasureUtils;
-import edu.stanford.nlp.util.XMLUtils;
-
-
-/**
- * An individual dependency between a head and a dependent.
- * The head and dependent are represented as a Label.
- * For example, these can be a
- * Word or a WordTag.  If one wishes the dependencies to preserve positions
- * in a sentence, then each can be a NamedConstituent.
- *
- * @author Christopher Manning
- */
-public class NamedDependency implements Dependency<Label, Label, Object> {
-
-  private Label regent;
-  private Label dependent;
-  private Object name;
-
-
-  @Override
-  public int hashCode() {
-    return regent.hashCode() ^ dependent.hashCode() ^ name.hashCode();
-  }
-
-  @Override
-  public boolean equals(Object o) {
-    if (this == o) {
-      return true;
-    }
-    if (o instanceof NamedDependency) {
-      NamedDependency d = (NamedDependency) o;
-      return governor().equals(d.governor()) && dependent().equals(d.dependent());
-    }
-    return false;
-  }
-
-  public boolean equalsIgnoreName(Object o) {
-    if (this == o) {
-      return true;
-    }
-    if (o instanceof Dependency) {
-      Dependency<Label, Label, Object> d = ErasureUtils.<Dependency<Label, Label, Object>>uncheckedCast(o);
-      return governor().equals(d.governor()) && dependent().equals(d.dependent());
-    }
-    return false;
-  }
-
-
-  @Override
-  public String toString() {
-    return regent + " --" + name + "--> " + dependent;
-  }
-
-  /**
-   * Provide different printing options via a String keyword.
-   * The recognized options are currently "xml", and "predicate".
-   * Otherwise the default toString() is used.
-   */
-  public String toString(String format) {
-    if ("xml".equals(format)) {
-      return "<dep type=\"" + XMLUtils.escapeXML(name().toString()) + "\">\n    <governor>" + XMLUtils.escapeXML(governor().value()) + "</governor>\n    <dependent>" + XMLUtils.escapeXML(dependent().value()) + "</dependent>\n  </dep>";
-    } else if ("predicate".equals(format)) {
-      return name() + "(" + governor() + "," + dependent() + ")";
-    } else {
-      return toString();
-    }
-  }
-
-
-  public NamedDependency(String regent, String dependent, Object name) {
-    this(new StringLabel(regent), new StringLabel(dependent), name);
-  }
-
-  public NamedDependency(String regent, int regentIndex, String dependent, int dependentIndex, Object name) {
-    this(regent, regentIndex, regentIndex + 1, dependent, dependentIndex, dependentIndex + 1, name);
-  }
-
-  public NamedDependency(String regent, int regentStartIndex, int regentEndIndex, String dependent, int depStartIndex, int depEndIndex, Object name) {
-    this(new LabeledConstituent(regentStartIndex, regentEndIndex, regent), new LabeledConstituent(depStartIndex, depEndIndex, dependent), name);
-  }
-
-  public NamedDependency(Label regent, Label dependent, Object name) {
-    if (regent == null || dependent == null) {
-      throw new IllegalArgumentException("governor or dependent cannot be null");
-    }
-    this.regent = regent;
-    this.dependent = dependent;
-    this.name = name;
-  }
-
-  public Label governor() {
-    return regent;
-  }
-
-  public Label dependent() {
-    return dependent;
-  }
-
-  public Object name() {
-    return name;
-  }
-
-  public DependencyFactory dependencyFactory() {
-    return DependencyFactoryHolder.df;
-  }
-
-  public static DependencyFactory factory() {
-    return DependencyFactoryHolder.df;
-  }
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class DependencyFactoryHolder {
-
-    private static final DependencyFactory df = new NamedDependencyFactory();
-
-  }
-
-
-  /**
-   * A <code>DependencyFactory</code> acts as a factory for creating objects
-   * of class <code>Dependency</code>
-   */
-  private static class NamedDependencyFactory implements DependencyFactory {
-
-    public NamedDependencyFactory() {
-    }
-
-
-    /**
-     * Create a new <code>Dependency</code>.
-     */
-    public Dependency<Label, Label, Object> newDependency(Label regent, Label dependent) {
-      return newDependency(regent, dependent, null);
-    }
-
-    /**
-     * Create a new <code>Dependency</code>.
-     */
-    public Dependency<Label, Label, Object> newDependency(Label regent, Label dependent, Object name) {
-      return new NamedDependency(regent, dependent, name);
-    }
-
-  }
-
-
-  private static final long serialVersionUID = 5;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/ParentalTreeWrapper.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/ParentalTreeWrapper.java
deleted file mode 100644
index 1f50241..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/ParentalTreeWrapper.java
+++ /dev/null
@@ -1,67 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-
-/**
- * A wrapper class for a regular tree that looks like a Tree, but adds
- * parent pointers to the nodes.  Calls to parent() or parent(root)
- * return the cached parent pointer, and other calls are passed
- * through to the underlying Tree.  This is useful in the Tregex
- * system, where it greatly reduces the time spent searching for
- * parent nodes.
- * <br>
- * TODO: only those calls used by the Tregex system get passed along
- * to the underlying Tree.  Other users may want to expand on this.
- *
- * @author John Bauer
- */
-public class ParentalTreeWrapper extends Tree {
-  private final Tree tree;
-  private final Tree parent;
-  private final Tree[] children;
-
-  public ParentalTreeWrapper(Tree tree) {
-    this(tree, null);
-  }
-
-  public ParentalTreeWrapper(Tree tree, Tree parent) {
-    this.tree = tree;
-    this.parent = parent;
-    Tree[] originalChildren = tree.children();
-    this.children = new Tree[originalChildren.length];
-    for (int i = 0; i < originalChildren.length; ++i) {
-      Tree child = new ParentalTreeWrapper(originalChildren[i], this);
-      this.children[i] = child;
-    }
-  }
-
-  @Override
-  public Tree[] children() { return children; }
-  
-  @Override
-  public TreeFactory treeFactory() {
-    throw new UnsupportedOperationException();
-  }
-
-  @Override
-  public Tree parent() {
-    return parent;
-  }
-
-  @Override
-  public Tree parent(Tree root) {
-    return parent;
-  }
-
-  public Tree getBackingTree() { 
-    return tree;
-  }
-
-  public Label label() {
-    return tree.label();
-  }
-
-  public String value() {
-    return tree.value();
-  }
-}
\ No newline at end of file
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/PennTreeReader.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/PennTreeReader.java
deleted file mode 100644
index 2fa65f0..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/PennTreeReader.java
+++ /dev/null
@@ -1,257 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.*;
-import java.util.ArrayList;
-import java.util.NoSuchElementException;
-
-import edu.stanford.nlp.process.Tokenizer;
-import edu.stanford.nlp.ling.HasIndex;
-import edu.stanford.nlp.ling.HasWord;
-
-/**
- * This class implements the <code>TreeReader</code> interface to read Penn Treebank-style
- * files. The reader is implemented as a pushdown automaton (PDA) that parses the Lisp-style
- * format in which the trees are stored. This reader is compatible with both PTB
- * and PATB trees.
- *
- * @author Christopher Manning
- * @author Roger Levy
- * @author Spence Green
- */
-public class PennTreeReader implements TreeReader {
-
-  private final Reader reader;
-  private final Tokenizer<String> tokenizer;
-  private final TreeNormalizer treeNormalizer;
-  private final TreeFactory treeFactory;
-
-  private static final boolean DEBUG = false;
-
-  private Tree currentTree;
-  // misuse a list as a stack, since we want to avoid the synchronized and old Stack, but don't need the power and JDK 1.6 dependency of a Deque
-  private ArrayList<Tree> stack;
-  private static final String leftParen = "(";
-  private static final String rightParen = ")";
-
-  /**
-   * Read parse trees from a <code>Reader</code>.
-   * For the defaulted arguments, you get a
-   * <code>SimpleTreeFactory</code>, no <code>TreeNormalizer</code>, and
-   * a <code>PennTreebankTokenizer</code>.
-   *
-   * @param in The <code>Reader</code>
-   */
-  public PennTreeReader(Reader in) {
-    this(in, new SimpleTreeFactory());
-  }
-
-
-  /**
-   * Read parse trees from a <code>Reader</code>.
-   *
-   * @param in the Reader
-   * @param tf TreeFactory -- factory to create some kind of Tree
-   */
-  public PennTreeReader(Reader in, TreeFactory tf) {
-    this(in, tf, null, new PennTreebankTokenizer(in));
-  }
-
-
-  /**
-   * Read parse trees from a Reader.
-   *
-   * @param in Reader
-   * @param tf TreeFactory -- factory to create some kind of Tree
-   * @param tn the method of normalizing trees
-   */
-  public PennTreeReader(Reader in, TreeFactory tf, TreeNormalizer tn) {
-    this(in, tf, tn, new PennTreebankTokenizer(in));
-  }
-
-
-  /**
-   * Read parse trees from a Reader.
-   *
-   * @param in Reader
-   * @param tf TreeFactory -- factory to create some kind of Tree
-   * @param tn the method of normalizing trees
-   * @param st Tokenizer that divides up Reader
-   */
-  public PennTreeReader(Reader in, TreeFactory tf, TreeNormalizer tn, Tokenizer<String> st) {
-    reader = in;
-    treeFactory = tf;
-    treeNormalizer = tn;
-    tokenizer = st;
-
-    // check for whacked out headers still present in Brown corpus in Treebank 3
-    String first = (st.hasNext() ? st.peek() : null);
-    if (first != null && first.startsWith("*x*x*x")) {
-      if (DEBUG) {
-        System.err.printf("%s: Skipping past whacked out header (%s)\n",this.getClass().getName(),first);
-      }
-      int foundCount = 0;
-      while (foundCount < 4 && st.hasNext()) {
-        first = st.next();
-        if (first != null && first.startsWith("*x*x*x")) {
-          foundCount++;
-        }
-      }
-    }
-
-    if (DEBUG) {
-      System.err.printf("%s: Built from\n %s ", this.getClass().getName(), in.getClass().getName());
-      System.err.println(" " + ((tf == null) ? "no tf" : tf.getClass().getName()));
-      System.err.println(" " + ((tn == null) ? "no tn" : tn.getClass().getName()));
-      System.err.println(" " + ((st == null) ? "no st" : st.getClass().getName()));
-    }
-  }
-
-  /**
-   * Reads a single tree in standard Penn Treebank format from the
-   * input stream. The method supports additional parentheses around the
-   * tree (an unnamed ROOT node) so long as they are balanced. If the token stream
-   * ends before the current tree is complete, then the method will throw an
-   * <code>IOException</code>.
-   * <p>
-   * Note that the method will skip malformed trees and attempt to
-   * read additional trees from the input stream. It is possible, however,
-   * that a malformed tree will corrupt the token stream. In this case,
-   * an <code>IOException</code> will eventually be thrown.
-   *
-   * @return A single tree, or <code>null</code> at end of token stream.
-   */
-  public Tree readTree() throws IOException {
-    Tree t = null;
-
-    while (tokenizer.hasNext() && t == null) {
-
-      //Setup PDA
-      this.currentTree = null;
-      this.stack = new ArrayList<Tree>();
-
-      try {
-        t = getTreeFromInputStream();
-      } catch (NoSuchElementException e) {
-        throw new IOException("End of token stream encountered before parsing could complete.");
-      }
-
-      if (t != null) {
-        // cdm 20100618: Don't do this!  This was never the historical behavior!!!
-        // Escape empty trees e.g. (())
-        // while(t != null && (t.value() == null || t.value().equals("")) && t.numChildren() <= 1)
-        //   t = t.firstChild();
-
-        if (t != null && treeNormalizer != null && treeFactory != null)
-          t = treeNormalizer.normalizeWholeTree(t, treeFactory);
-      }
-    }
-
-    return t;
-  }
-
-
-  private Tree getTreeFromInputStream() throws NoSuchElementException {
-    int wordIndex = 1;
-
-    // FSA
-    while (tokenizer.hasNext()) {
-      String token = tokenizer.next();
-
-      if (token.equals(leftParen)) {
-
-        // cdm 20100225: This next line used to have "" instead of null, but the traditional and current tree normalizers depend on the label being null not "" when there is no label on a tree (like the outermost English PTB level)
-        String label = (tokenizer.peek().equals(leftParen)) ? null : tokenizer.next();
-        if (rightParen.equals(label)) {//Skip past empty trees
-          continue;
-        } else if (treeNormalizer != null) {
-          label = treeNormalizer.normalizeNonterminal(label);
-        }
-
-        Tree newTree = treeFactory.newTreeNode(label, null); // dtrs are added below
-        if(currentTree == null)
-          stack.add(newTree);
-        else {
-          currentTree.addChild(newTree);
-          stack.add(currentTree);
-        }
-
-        currentTree = newTree;
-
-      } else if(token.equals(rightParen)) {
-        if (stack.isEmpty()) {
-          // Warn that file has too many right parens
-          System.err.println("PennTreeReader: warning: file has extra non-matching right parenthesis [ignored]");
-          break;
-        }
-
-        //Accept
-        currentTree = stack.remove(stack.size() - 1);  // i.e., stack.pop()
-        if (stack.isEmpty()) return currentTree;
-
-      } else {
-
-        if (currentTree == null) {
-          // A careful Reader should warn here, but it's kind of useful to 
-          // suppress this because then the TreeReader doesn't print a ton of
-          // messages if there is a README file in a directory of Trees.
-          // System.err.println("PennTreeReader: warning: file has extra token not in a s-expression tree: " + token + " [ignored]");
-          break;
-        }
-
-        String terminal = (treeNormalizer == null) ? token : treeNormalizer.normalizeTerminal(token);
-        Tree leaf = treeFactory.newLeaf(terminal);
-        if(leaf.label() instanceof HasIndex) {
-          HasIndex hi = (HasIndex) leaf.label();
-          hi.setIndex(wordIndex);
-        }
-        if(leaf.label() instanceof HasWord) {
-          HasWord hw = (HasWord) leaf.label();
-          hw.setWord(leaf.label().value());
-        }
-        wordIndex++;
-
-        currentTree.addChild(leaf);
-        // cdm: Note: this implementation just isn't as efficient as the old recursive descent parser (see 2008 code), where all the daughters are gathered before the tree is made....
-      }
-    }
-
-    //Reject
-    if (currentTree != null) {
-      System.err.println("PennTreeReader: warning: incomplete tree (extra left parentheses in input): " + currentTree);
-    }
-    return null;
-  }
-
-
-  /**
-   * Closes the underlying <code>Reader</code> used to create this
-   * class.
-   */
-  public void close() throws IOException {
-    reader.close();
-  }
-
-
-  /**
-   * Loads treebank data from first argument and prints it.
-   *
-   * @param args Array of command-line arguments: specifies a filename
-   */
-  public static void main(String[] args) {
-    try {
-      TreeFactory tf = new LabeledScoredTreeFactory();
-      Reader r = new BufferedReader(new InputStreamReader(new FileInputStream(args[0]), "UTF-8"));
-      TreeReader tr = new PennTreeReader(r, tf);
-      Tree t = tr.readTree();
-      while (t != null) {
-        System.out.println(t);
-        System.out.println();
-        t = tr.readTree();
-      }
-      r.close();
-    } catch (IOException ioe) {
-      ioe.printStackTrace();
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/PennTreeReaderFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/PennTreeReaderFactory.java
deleted file mode 100644
index cbc6ce9..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/PennTreeReaderFactory.java
+++ /dev/null
@@ -1,62 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.Reader;
-
-/** Vends {@link PennTreeReader} objects.
- *
- *  @author Roger Levy (rog@nlp.stanford.edu)
- */
-public class PennTreeReaderFactory implements TreeReaderFactory {
-
-  private final TreeFactory tf;
-  private final TreeNormalizer tn;
-
-  /**
-   * Default constructor; uses a {@link LabeledScoredTreeFactory},
-   * with StringLabels, a {@link PennTreebankTokenizer},
-   * and a {@link TreeNormalizer}.
-   */
-  public PennTreeReaderFactory() {
-    this(new LabeledScoredTreeFactory());
-  }
-
-  /**
-   * Specify your own {@link TreeFactory};
-   * uses a {@link PennTreebankTokenizer}, and a {@link TreeNormalizer}.
-   *
-   * @param tf The TreeFactory to use in building Tree objects to return.
-   */
-  public PennTreeReaderFactory(TreeFactory tf) {
-    this(tf, new TreeNormalizer());
-  }
-
-
-  /**
-   * Specify your own {@link TreeNormalizer};
-   * uses a {@link PennTreebankTokenizer}, and a {@link LabeledScoredTreeFactory}.
-   *
-   * @param tn The TreeNormalizer to use in building Tree objects to return.
-   */
-  public PennTreeReaderFactory(TreeNormalizer tn) {
-    this(new LabeledScoredTreeFactory(), tn);
-  }
-
-
-  /**
-   * Specify your own {@link TreeFactory};
-   * uses a {@link PennTreebankTokenizer}, and a {@link TreeNormalizer}.
-   *
-   * @param tf The TreeFactory to use in building Tree objects to return.
-   * @param tn The TreeNormalizer to use
-   */
-  public PennTreeReaderFactory(TreeFactory tf, TreeNormalizer tn) {
-    this.tf = tf;
-    this.tn = tn;
-  }
-
-
-  public TreeReader newTreeReader(Reader in) {
-    return new PennTreeReader(in, tf, tn, new PennTreebankTokenizer(in));
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/PennTreebankLanguagePack.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/PennTreebankLanguagePack.java
deleted file mode 100644
index 5b46981..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/PennTreebankLanguagePack.java
+++ /dev/null
@@ -1,198 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Word;
-import edu.stanford.nlp.objectbank.TokenizerFactory;
-import edu.stanford.nlp.process.PTBTokenizer;
-import edu.stanford.nlp.util.Filter;
-
-
-/**
- * Specifies the treebank/language specific components needed for
- * parsing the English Penn Treebank.
- *
- * @author Christopher Manning
- * @version 1.1
- */
-public class PennTreebankLanguagePack extends AbstractTreebankLanguagePack {
-
-  /**
-   * Gives a handle to the TreebankLanguagePack
-   */
-  public PennTreebankLanguagePack() {
-  }
-
-
-  private static String[] pennPunctTags = {"''", "``", "-LRB-", "-RRB-", ".", ":", ","};
-
-  private static String[] pennSFPunctTags = {"."};
-
-  private static String[] collinsPunctTags = {"''", "``", ".", ":", ","};
-
-  private static String[] pennPunctWords = {"''", "'", "``", "`", "-LRB-", "-RRB-", "-LCB-", "-RCB-", ".", "?", "!", ",", ":", "-", "--", "...", ";"};
-
-  private static String[] pennSFPunctWords = {".", "!", "?"};
-
-
-  /**
-   * The first 3 are used by the Penn Treebank; # is used by the
-   * BLLIP corpus, and ^ and ~ are used by Klein's lexparser.
-   * Teg added the last one _ (let me know if it hurts).
-   */
-  private static char[] annotationIntroducingChars = {'-', '=', '|', '#', '^', '~', '_'};
-
-  /**
-   * This is valid for "BobChrisTreeNormalizer" conventions only.
-   */
-  private static String[] pennStartSymbols = {"ROOT", "TOP"};
-
-
-  /**
-   * Returns a String array of punctuation tags for this treebank/language.
-   *
-   * @return The punctuation tags
-   */
-  @Override
-  public String[] punctuationTags() {
-    return pennPunctTags;
-  }
-
-
-  /**
-   * Returns a String array of punctuation words for this treebank/language.
-   *
-   * @return The punctuation words
-   */
-  @Override
-  public String[] punctuationWords() {
-    return pennPunctWords;
-  }
-
-
-  /**
-   * Returns a String array of sentence final punctuation tags for this
-   * treebank/language.
-   *
-   * @return The sentence final punctuation tags
-   */
-  @Override
-  public String[] sentenceFinalPunctuationTags() {
-    return pennSFPunctTags;
-  }
-
-  /**
-   * Returns a String array of sentence final punctuation words for this
-   * treebank/language.
-   *
-   * @return The sentence final punctuation tags
-   */
-  public String[] sentenceFinalPunctuationWords() {
-    return pennSFPunctWords;
-  }
-
-  /**
-   * Returns a String array of punctuation tags that EVALB-style evaluation
-   * should ignore for this treebank/language.
-   * Traditionally, EVALB has ignored a subset of the total set of
-   * punctuation tags in the English Penn Treebank (quotes and
-   * period, comma, colon, etc., but not brackets)
-   *
-   * @return Whether this is a EVALB-ignored punctuation tag
-   */
-  @Override
-  public String[] evalBIgnoredPunctuationTags() {
-    return collinsPunctTags;
-  }
-
-
-  /**
-   * Return an array of characters at which a String should be
-   * truncated to give the basic syntactic category of a label.
-   * The idea here is that Penn treebank style labels follow a syntactic
-   * category with various functional and crossreferencing information
-   * introduced by special characters (such as "NP-SBJ=1").  This would
-   * be truncated to "NP" by the array containing '-' and "=".
-   *
-   * @return An array of characters that set off label name suffixes
-   */
-  @Override
-  public char[] labelAnnotationIntroducingCharacters() {
-    return annotationIntroducingChars;
-  }
-
-
-  /**
-   * Returns a String array of treebank start symbols.
-   *
-   * @return The start symbols
-   */
-  @Override
-  public String[] startSymbols() {
-    return pennStartSymbols;
-  }
-
-  /**
-   * Returns a factory for {@link PTBTokenizer}.
-   *
-   * @return A tokenizer
-   */
-  @Override
-  public TokenizerFactory<Word> getTokenizerFactory() {
-    return PTBTokenizer.factory();
-  }
-
-  /**
-   * Returns the extension of treebank files for this treebank.
-   * This is "mrg".
-   */
-  public String treebankFileExtension() {
-    return "mrg";
-  }
-
-  /**
-   * Return a GrammaticalStructure suitable for this language/treebank.
-   *
-   * @return A GrammaticalStructure suitable for this language/treebank.
-   */
-  @Override
-  public GrammaticalStructureFactory grammaticalStructureFactory() {
-    return new GrammaticalStructureFactory("edu.stanford.nlp.trees.EnglishGrammaticalStructure");
-  }
-
-  /**
-   * Return a GrammaticalStructure suitable for this language/treebank.
-   * <p>
-   * <i>Note:</i> This is loaded by reflection so basic treebank use does not require all the Stanford Dependencies code.
-   *
-   * @return A GrammaticalStructure suitable for this language/treebank.
-   */
-  @Override
-  public GrammaticalStructureFactory grammaticalStructureFactory(Filter<String> puncFilter) {
-    return new GrammaticalStructureFactory("edu.stanford.nlp.trees.EnglishGrammaticalStructure", puncFilter);
-  }
-
-  public GrammaticalStructureFactory grammaticalStructureFactory(Filter<String> puncFilter, HeadFinder hf) {
-    return new GrammaticalStructureFactory("edu.stanford.nlp.trees.EnglishGrammaticalStructure", puncFilter, hf);
-  }
-
-  /** {@inheritDoc} */
-  public HeadFinder headFinder() {
-    return new ModCollinsHeadFinder(this);
-  }
-
-
-  /** Prints a few aspects of the TreebankLanguagePack, just for debugging.
-   */
-  public static void main(String[] args) {
-    TreebankLanguagePack tlp = new PennTreebankLanguagePack();
-    System.out.println("Start symbol: " + tlp.startSymbol());
-    String start = tlp.startSymbol();
-    System.out.println("Should be true: " + (tlp.isStartSymbol(start)));
-    String[] strs = new String[]{"-", "-LLB-", "NP-2", "NP=3", "NP-LGS", "NP-TMP=3"};
-    for (String str : strs) {
-      System.out.println("String: " + str + " basic: " + tlp.basicCategory(str) + " basicAndFunc: " + tlp.categoryAndFunction(str));
-    }
-  }
-
-  private static final long serialVersionUID = 9081305982861675328L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/PennTreebankTokenizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/PennTreebankTokenizer.java
deleted file mode 100644
index bb1428e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/PennTreebankTokenizer.java
+++ /dev/null
@@ -1,61 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.process.TokenizerAdapter;
-
-import java.io.Reader;
-import java.io.StreamTokenizer;
-
-
-/**
- * Builds a tokenizer for English PennTreebank (release 2) trees.
- * This is currently internally implemented via a java.io.StreamTokenizer.
- *
- * @author Christopher Manning
- * @author Roger Levy
- * @version 2003/01/15
- */
-public class PennTreebankTokenizer extends TokenizerAdapter {
-
-  /**
-   * A StreamTokenizer for PennTreebank trees.
-   */
-  private static class EnglishTreebankStreamTokenizer extends StreamTokenizer {
-
-    /**
-     * Create a StreamTokenizer for PennTreebank trees.
-     * This sets up all the character meanings for treebank trees
-     *
-     * @param r The reader steam
-     */
-    private EnglishTreebankStreamTokenizer(Reader r) {
-      super(r);
-      // start with new tokenizer syntax -- everything ordinary
-      resetSyntax();
-      // treat parens as symbols themselves -- done by reset
-      // ordinaryChar(')');
-      // ordinaryChar('(');
-
-      // treat chars in words as words, like a-zA-Z
-      // treat all the typewriter keyboard symbols as parts of words
-      // You need to look at an ASCII table to understand this!
-      wordChars('!', '\'');  // non-space non-ctrl symbols before '('
-      wordChars('*', '/');   // after ')' till before numbers
-      wordChars('0', '9');   // numbers
-      wordChars(':', '@');   // symbols between numbers, letters
-      wordChars('A', 'Z');   // uppercase letters
-      wordChars('[', '`');   // symbols between ucase and lcase
-      wordChars('a', 'z');   // lowercase letters
-      wordChars('{', '~');   // symbols before DEL
-      wordChars(128, 255);   // C.Thompson, added 11/02
-
-      // take the normal white space charaters, including tab, return,
-      // space
-      whitespaceChars(0, ' ');
-    }
-  }
-
-  public PennTreebankTokenizer(Reader r) {
-    super(new EnglishTreebankStreamTokenizer(r));
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/QPTreeTransformer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/QPTreeTransformer.java
deleted file mode 100644
index 9397639..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/QPTreeTransformer.java
+++ /dev/null
@@ -1,153 +0,0 @@
-package edu.stanford.nlp.trees;
-
-
-
-import edu.stanford.nlp.ling.LabelFactory;
-import edu.stanford.nlp.util.StringUtils;
-
-import java.util.List;
-import java.util.Properties;
-import java.io.BufferedReader;
-import java.io.InputStreamReader;
-import java.io.FileInputStream;
-import java.io.IOException;
-
-/**
- * Transforms an English structure parse tree in order to get the dependencies right:
- * Adds an extra structure in QP phrases:
- * (QP (RB well) (IN over) (CD 9)) becomes
- *
- * (QP (XS (RB well) (IN over)) (CD 9))
- *
- *
- * @author mcdm
- */
-public class QPTreeTransformer implements TreeTransformer {
-
-  /**
-   * Right now (July 2007) we only deal with the following QP structures:
-   *
-   * QP (RB IN CD|DT ...)   well over, more than
-   * QP (JJR IN CD|DT ...)  fewer than
-   * QP (IN JJS CD|DT ...)  at least
-   *
-   * @param t tree to be transformed
-   * @return  t with an extra layer if there was a QP structure matching the ones mentioned above
-   */
-
-  public Tree transformTree(Tree t) {
-     return QPtransform(t);
-  }
-
-
-  /**
-   * Transforms t if it contains one of the following QP structure:
-   * QP (RB IN CD|DT ...)   well over, more than
-   * QP (JJR IN CD|DT ...)  fewer than
-   * QP (IN JJS CD|DT ...)  at least
-   *
-   * @param t a tree to be transformed
-   * @return t transformed
-   */
-  public static Tree QPtransform(Tree t) {
-    doTransform(t);
-    return t;
-  }
-
-
-
-  /*
-   * Given a tree t, if this tree contains a QP of the form
-   * QP (RB IN CD|DT ...)   well over, more than
-   * QP (JJR IN CD|DT ...)  fewer than
-   * QP (IN JJS CD|DT ...)  at least
-   *
-   * it will transform it
-   *
-   */
-  private static void doTransform(Tree t) {
-
-    if (t.value().startsWith("QP")) {
-      //look at the children
-      List<Tree> children = t.getChildrenAsList();
-      if (children.size() >= 3 && children.get(0).isPreTerminal()) {
-        //go through the children and check if they match the structure we want
-        String child1 = children.get(0).value();
-        String child2 = children.get(1).value();
-        String child3 = children.get(2).value();
-        if((child3.startsWith("CD") || child3.startsWith("DT")) &&
-           (child1.startsWith("RB") || child1.startsWith("JJ") || child1.startsWith("IN")) &&
-           (child2.startsWith("IN") || child2.startsWith("JJ"))) {
-          transformQP(t);
-        }
-      }
-    /* --- to be written or deleted
-    } else if (t.value().startsWith("NP")) {
-      //look at the children
-      List<Tree> children = t.getChildrenAsList();
-      if (children.size() >= 3) {
-
-      }
-    ---- */
-    } else if (t.isPhrasal()) {
-      for (Tree child : t.getChildrenAsList()) {
-        doTransform(child);
-      }
-    }
-  }
-
-
-  private static void transformQP(Tree t) {
-    List<Tree> children = t.getChildrenAsList();
-    TreeFactory tf = t.treeFactory();
-    LabelFactory lf = t.label().labelFactory();
-
-    //create the new XS having the first two children of the QP
-    Tree left = tf.newTreeNode(lf.newLabel("XS"), null);
-    for (int i = 0; i < 2; i++) {
-      left.addChild(children.get(i));
-    }
-
-    // remove all the two first children of t before
-    for (int i = 0; i < 2; i++) {
-      t.removeChild(0);
-    }
-
-    // add XS as the first child
-    t.addChild(0, left);
-  }
-
-
-  public static void main(String[] args) {
-
-    QPTreeTransformer transformer = new QPTreeTransformer();
-    Treebank tb = new MemoryTreebank();
-    Properties props = StringUtils.argsToProperties(args);
-    String treeFileName = props.getProperty("treeFile");
-
-    if (treeFileName != null) {
-      try {
-        TreeReader tr = new PennTreeReader(new BufferedReader(new InputStreamReader(new FileInputStream(treeFileName))), new LabeledScoredTreeFactory());
-        Tree t;
-        while ((t = tr.readTree()) != null) {
-          tb.add(t);
-        }
-      } catch (IOException e) {
-        throw new RuntimeException("File problem: " + e);
-      }
-
-    }
-
-    for (Tree t : tb) {
-      System.out.println("Original tree");
-      t.pennPrint();
-      System.out.println();
-      System.out.println("Tree transformed");
-      Tree tree = transformer.transformTree(t);
-      tree.pennPrint();
-      System.out.println();
-      System.out.println("----------------------------");
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SemanticHeadFinder.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SemanticHeadFinder.java
deleted file mode 100644
index b142421..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SemanticHeadFinder.java
+++ /dev/null
@@ -1,577 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.HasCategory;
-import edu.stanford.nlp.ling.HasTag;
-import edu.stanford.nlp.ling.HasWord;
-import edu.stanford.nlp.ling.Label;
-
-import java.util.Arrays;
-import java.util.HashSet;
-import java.util.List;
-
-
-/**
- * Implements a 'semantic head' variant of the the HeadFinder found
- * in Michael Collins' 1999 thesis.
- * This version chooses the semantic head verb rather than the verb form
- * for cases with verbs.  And it makes similar themed changes to other
- * categories: e.g., in question phrases, like "Which Brazilian game", the
- * head is made "game" not "Which" as in common PTB head rules.<p/>
- * <p/>
- * By default the SemanticHeadFinder uses a treatment of copula where the
- * complement of the copula is taken as the head.  That is, a sentence like
- * "Bill is big" will be analyzed as <p/>
- * <p/>
- * <code>nsubj</code>(big, Bill) <br/>
- * <code>cop</code>(big, is) <p/>
- * <p/>
- * This analysis is used for questions and declaratives for adjective
- * complements and declarative nominal complements.  However Wh-sentences
- * with nominal complements do not receive this treatment.
- * "Who is the president?" is analyzed with "the president" as nsubj and "who"
- * as "attr" of the copula:<p/><p>
- * <code>nsubj</code>(is, president)<br/>
- * <code>attr</code>(is, Who) <p/>
- * <p/>
- * (Such nominal copula sentences are complex: arguably, depending on the
- * circumstances, several analyses are possible, with either the overt NP able
- * to be any of the subject, the predicate, or one of two referential entities
- * connected by an equational copula.  These uses aren't differentiated.)
- * <p/>
- * Existential sentences are treated as follows:  <br/>
- * "There is a man" <br/>
- * <code>expl</code>(is, There) <br/>
- * <code>det</code>(man-4, a-3) <br/>
- * <code>nsubj</code>(is-2, man-4)<br/>
- *
- * @author John Rappaport
- * @author Marie-Catherine de Marneffe
- * @author Anna Rafferty
- */
-public class SemanticHeadFinder extends ModCollinsHeadFinder {
-
-  private static final boolean DEBUG = false;
-
-  private static final String[] auxiliaries = {"will", "wo", "shall", "sha", "may", "might", "should", "would", "can", "could", "ca", "must", "has", "have", "had", "having", "get", "gets", "getting", "got", "gotten", "do", "does", "did", "to", "'ve", "'d", "'ll"};
-  private static final String[] beGetVerbs = {"be", "being", "been", "am", "are", "is", "was", "were", "'m", "'re", "'s", "s", "get", "getting", "gets", "got"};
-  private static final String[] copulaVerbs = {"be", "being", "been", "am", "are", "is", "was", "were", "'m", "'re", "'s", "s", "seem", "seems", "seemed", "appear", "appears", "appeared", "stay", "stays", "stayed", "remain", "remains", "remained", "resemble", "resembles", "resembled", "become", "becomes", "became"};
-
-  private static final String[] verbTags = {"TO", "MD", "VB", "VBD", "VBP", "VBZ", "VBG", "VBN", "AUX", "AUXG"};
-
-  private final HashSet<String> verbalAuxiliaries;
-  private final HashSet<String> copulars;
-  private final HashSet<String> passiveAuxiliaries;
-  private final HashSet<String> verbalTags;
-
-
-  public SemanticHeadFinder() {
-    this(new PennTreebankLanguagePack(), true);
-  }
-
-  public SemanticHeadFinder(boolean cop) {
-    this(new PennTreebankLanguagePack(), cop);
-  }
-
-
-  /** Create a SemanticHeadFinder.
-   *
-   * @param tlp The TreebankLanguagePack, used by the superclass to get basic
-   *     category of constituents.
-   * @param cop If true, a copular verb (be, seem, appear, stay, remain, resemble, become)
-   *     is not treated as head when it has an AdjP or NP complement.  If false,
-   *     a copula verb is still always treated as a head.  But it will still
-   *     be treated as an auxiliary in periphrastic tenses with a VP complement.
-   */
-  public SemanticHeadFinder(TreebankLanguagePack tlp, boolean cop) {
-    super(tlp);
-    ruleChanges();
-
-    // make a distinction between auxiliaries and copula verbs to
-    // get the NP has semantic head in sentences like "Bill is an honest man".  (Added "sha" for "shan't" May 2009
-    verbalAuxiliaries = new HashSet<String>();
-    verbalAuxiliaries.addAll(Arrays.asList(auxiliaries));
-
-    passiveAuxiliaries = new HashSet<String>();
-    passiveAuxiliaries.addAll(Arrays.asList(beGetVerbs));
-
-    //copula verbs having an NP complement
-    copulars = new HashSet<String>();
-    if (cop) {
-      copulars.addAll(Arrays.asList(copulaVerbs));
-    } // a few times the apostrophe is missing on "'s"
-
-    verbalTags = new HashSet<String>();
-    // include Charniak tags so can do BLLIP right
-    verbalTags.addAll(Arrays.asList(verbTags));
-
-  }
-
-  //makes modifications of Collins' rules to better fit with semantic notions of heads
-  private void ruleChanges() {
-    //  NP: don't want a POS to be the head
-    nonTerminalInfo.put("NP", new String[][]{{"rightdis", "NN", "NNP", "NNPS", "NNS", "NX", "NML", "JJR"}, {"left", "NP", "PRP"}, {"rightdis", "$", "ADJP", "FW"}, {"right", "CD"}, {"rightdis", "JJ", "JJS", "QP", "DT", "WDT", "NML", "PRN", "RB", "RBR", "ADVP"}, {"left", "POS"}, rightExceptPunct});
-    // WHNP clauses should have the same sort of head as an NP
-    // but it a WHNP has a NP and a WHNP under it, the WHNP should be the head.  E.g.,  (WHNP (WHNP (WP$ whose) (JJ chief) (JJ executive) (NN officer))(, ,) (NP (NNP James) (NNP Gatward))(, ,))
-    nonTerminalInfo.put("WHNP", new String[][]{{"rightdis", "NN", "NNP", "NNPS", "NNS", "NX", "NML", "JJR", "WP"}, {"left", "WHNP", "NP"}, {"rightdis", "$", "ADJP", "PRN", "FW"}, {"right", "CD"}, {"rightdis", "JJ", "JJS", "RB", "QP"}, {"left", "WHPP", "WHADJP", "WP$", "WDT"}});
-    //WHADJP
-    nonTerminalInfo.put("WHADJP", new String[][]{{"left", "ADJP", "JJ", "JJR"}, {"right", "RB"}, rightExceptPunct});
-    //WHADJP
-    nonTerminalInfo.put("WHADVP", new String[][]{{"rightdis", "WRB", "WHADVP", "RB", "JJ"}, rightExceptPunct}); // if not WRB or WHADVP, probably has flat NP structure, allow JJ for "how long" constructions
-    // QP: we don't want the first CD to be the semantic head (e.g., "three billion": head should be "billion"), so we go from right to left
-    nonTerminalInfo.put("QP", new String[][]{{"right", "$", "NNS", "NN", "CD", "JJ", "PDT", "DT", "IN", "RB", "NCD", "QP", "JJR", "JJS"}});
-
-    // S, SBAR and SQ clauses should prefer the main verb as the head
-    // S: "He considered him a friend" -> we want a friend to be the head
-    nonTerminalInfo.put("S", new String[][]{{"left", "VP", "S", "FRAG", "SBAR", "ADJP", "UCP", "TO"}, {"right", "NP"}});
-
-    nonTerminalInfo.put("SBAR", new String[][]{{"left", "S", "SQ", "SINV", "SBAR", "FRAG", "VP", "WHNP", "WHPP", "WHADVP", "WHADJP", "IN", "DT"}});
-    // VP shouldn't be needed in SBAR, but occurs in one buggy tree in PTB3 wsj_1457 and otherwise does no harm
-
-    nonTerminalInfo.put("SQ", new String[][]{{"left", "VP", "SQ", "ADJP", "VB", "VBZ", "VBD", "VBP", "MD", "AUX", "AUXG"}});
-
-
-    // UCP take the first element as head
-    nonTerminalInfo.put("UCP", new String[][]{leftExceptPunct});
-
-    // CONJP: we want different heads for "but also" and "but not" and we don't want "not" to be the head in "not to mention"; now make "mention" head of "not to mention"
-    nonTerminalInfo.put("CONJP", new String[][]{{"right", "VB", "JJ", "RB", "IN", "CC"}, rightExceptPunct});
-
-    // FRAG: crap rule needs to be change if you want to parse glosses
-    nonTerminalInfo.put("FRAG", new String[][]{{"left", "IN"}, {"right", "RB"}, {"left", "NP"}, {"left", "ADJP", "ADVP", "FRAG", "S", "SBAR", "VP"}, leftExceptPunct});
-
-    // PP first word (especially in coordination of PPs)
-    nonTerminalInfo.put("PP", new String[][]{{"right", "IN", "TO", "VBG", "VBN", "RP", "FW", "JJ"}, {"left", "PP"}});
-
-    // PRN: sentence first
-    nonTerminalInfo.put("PRN", new String[][]{{"left", "VP", "SQ", "S", "SINV", "SBAR", "NP", "ADJP", "PP", "ADVP", "INTJ", "WHNP", "NAC", "VBP", "JJ", "NN", "NNP"}, leftExceptPunct});
-
-    // add the constituent XS (special node to add a layer in a QP tree introduced in our QPTreeTransformer)
-    nonTerminalInfo.put("XS", new String[][]{{"right", "IN"}});
-
-  }
-
-
-  /**
-   * Overwrite the postOperationFix method: a, b and c -> we want a to be the head
-   */
-  @Override
-  protected int postOperationFix(int headIdx, Tree[] daughterTrees) {
-    if (headIdx >= 2) {
-      String prevLab = tlp.basicCategory(daughterTrees[headIdx - 1].value());
-      if (prevLab.equals("CC") || prevLab.equals("CONJP")) {
-        int newHeadIdx = headIdx - 2;
-        Tree t = daughterTrees[newHeadIdx];
-        while (newHeadIdx >= 0 && t.isPreTerminal() && tlp.isPunctuationTag(t.value())) {
-          newHeadIdx--;
-        }
-        while (newHeadIdx >= 2 && tlp.isPunctuationTag(daughterTrees[newHeadIdx - 1].value())) {
-          newHeadIdx = newHeadIdx - 2;
-        }
-        if (newHeadIdx >= 0) {
-          headIdx = newHeadIdx;
-        }
-      }
-    }
-    return headIdx;
-  }
-
-  /**
-   * Determine which daughter of the current parse tree is the
-   * head.  It assumes that the daughters already have had their
-   * heads determined.  Uses special rule for VP heads
-   *
-   * @param t The parse tree to examine the daughters of.
-   *          This is assumed to never be a leaf
-   * @return The parse tree that is the head
-   */
-  @Override
-  protected Tree determineNonTrivialHead(Tree t, Tree parent) {
-    String motherCat = tlp.basicCategory(t.label().value());
-
-    if (DEBUG) {
-      System.err.println("At " + motherCat + ", my parent is " + parent);
-    }
-
-    // do VPs with auxiliary as special case
-    if ((motherCat.equals("VP") || motherCat.equals("SQ") || motherCat.equals("SINV"))) {
-      Tree[] kids = t.children();
-      // try to find if there is an auxiliary verb
-
-      if (DEBUG) {
-        System.err.println("Semantic head finder: at VP");
-        System.err.println("Class is " + t.getClass().getName());
-        t.pennPrint(System.err);
-        //System.err.println("hasVerbalAuxiliary = " + hasVerbalAuxiliary(kids, verbalAuxiliaries));
-      }
-
-      // looks for auxiliaries
-      if (hasVerbalAuxiliary(kids, verbalAuxiliaries) || hasPassiveProgressiveAuxiliary(kids, passiveAuxiliaries)) {
-        // String[] how = new String[] {"left", "VP", "ADJP", "NP"};
-        // Including NP etc seems okay for copular sentences but is
-        // problematic for other auxiliaries, like 'he has an answer'
-        // But maybe doing ADJP is fine!
-        String[] how = new String[]{"left", "VP", "ADJP"};
-        Tree pti = traverseLocate(kids, how, false);
-        if (DEBUG) {
-          System.err.println("Determined head (case 1) for " + t.value() + " is: " + pti);
-        }
-        if (pti != null) {
-          return pti;
-        } else {
-          // System.err.println("------");
-          // System.err.println("SemanticHeadFinder failed to reassign head for");
-          // t.pennPrint(System.err);
-          // System.err.println("------");
-        }
-      }
-
-      // looks for copular verbs
-      if (hasVerbalAuxiliary(kids, copulars) && ! isExistential(t, parent) && ! isWHQ(t, parent)) {
-        String[] how;
-        if (motherCat.equals("SQ")) {
-          how = new String[]{"right", "VP", "ADJP", "NP", "WHADJP", "WHNP"};
-        } else {
-          how = new String[]{"left", "VP", "ADJP", "NP", "WHADJP", "WHNP"};
-        }
-        Tree pti = traverseLocate(kids, how, false);
-        // don't allow a temporal to become head
-        if (pti != null && pti.label() != null && pti.label().value().contains("-TMP")) {
-          pti = null;
-        }
-        // In SQ, only allow an NP to become head if there is another one to the left (then it's probably predicative)
-        if (motherCat.equals("SQ") && pti != null && pti.label() != null && pti.label().value().startsWith("NP")) {
-            boolean foundAnotherNp = false;
-            for (Tree kid : kids) {
-              if (kid == pti) {
-                break;
-              } else if (kid.label() != null && kid.label().value().startsWith("NP")) {
-                foundAnotherNp = true;
-                break;
-              }
-            }
-          if ( ! foundAnotherNp) {
-            pti = null;
-          }
-        }
-
-        if (DEBUG) {
-          System.err.println("Determined head (case 2) for " + t.value() + " is: " + pti);
-        }
-        if (pti != null) {
-          return pti;
-        } else {
-          if (DEBUG) {
-            System.err.println("------");
-            System.err.println("SemanticHeadFinder failed to reassign head for");
-            t.pennPrint(System.err);
-            System.err.println("------");
-          }
-        }
-      }
-    }
-
-    Tree hd = super.determineNonTrivialHead(t, parent);
-    if (DEBUG) {
-      System.err.println("Determined head (case 3) for " + t.value() + " is: " + hd);
-    }
-    return hd;
-  }
-
-  /* Checks whether the tree t is an existential constituent
-   * There are two cases:
-   * -- affirmative sentences in which "there" is a left sister of the VP
-   * -- questions in which "there" is a daughter of the SQ.
-   *
-   */
-  private boolean isExistential(Tree t, Tree parent) {
-    if (DEBUG) {
-      System.err.println("isExistential: " + t + ' ' + parent);
-    }
-    boolean toReturn = false;
-    String motherCat = tlp.basicCategory(t.label().value());
-    // affirmative case
-    if (motherCat.equals("VP") && parent != null) {
-      //take t and the sisters
-      Tree[] kids = parent.children();
-      // iterate over the sisters before t and checks if existential
-      for (Tree kid : kids) {
-        if (!kid.value().equals("VP")) {
-          List<Label> tags = kid.preTerminalYield();
-          for (Label tag : tags) {
-            if (tag.value().equals("EX")) {
-              toReturn = true;
-            }
-          }
-        } else {
-          break;
-        }
-      }
-    }
-    // question case
-    else if (motherCat.startsWith("SQ") && parent != null) {
-      //take the daughters
-      Tree[] kids = parent.children();
-      // iterate over the daughters and checks if existential
-      for (Tree kid : kids) {
-        if (!kid.value().startsWith("VB")) {//not necessary to look into the verb
-          List<Label> tags = kid.preTerminalYield();
-          for (Label tag : tags) {
-            if (tag.value().equals("EX")) {
-              toReturn = true;
-            }
-          }
-        }
-      }
-    }
-
-    if (DEBUG) {
-      System.err.println("decision " + toReturn);
-    }
-
-    return toReturn;
-  }
-
-
-  /* Is the tree t a WH-question?
-   *  At present this is only true if the tree t is a SQ having a WH.* sister
-   *  and headed by a SBARQ.
-   * (It was changed to looser definition in Feb 2006.)
-   *
-   */
-  private static boolean isWHQ(Tree t, Tree parent) {
-    if (t == null) {
-      return false;
-    }
-    boolean toReturn = false;
-    if (t.value().startsWith("SQ")) {
-      if (parent != null && parent.value().equals("SBARQ")) {
-        Tree[] kids = parent.children();
-        for (Tree kid : kids) {
-          // looks for a WH.*
-          if (kid.value().startsWith("WH")) {
-            toReturn = true;
-          }
-        }
-      }
-    }
-
-    if (DEBUG) {
-      System.err.println("in isWH, decision: " + toReturn + " for node " + t);
-    }
-
-    return toReturn;
-  }
-
-
-  // now overally complex so it deals with coordinations.  Maybe change this class to use tregrex?
-  private boolean hasPassiveProgressiveAuxiliary(Tree[] kids, HashSet<String> verbalSet) {
-    if (DEBUG) {
-      System.err.println("Checking for passive/progressive auxiliary");
-    }
-    boolean foundPassiveVP = false;
-    boolean foundPassiveAux = false;
-    for (Tree kid : kids) {
-      if (DEBUG) {
-        System.err.println("  checking in " + kid);
-      }
-      if (kid.isPreTerminal()) {
-        Label kidLabel = kid.label();
-        String tag = null;
-        if (kidLabel instanceof HasTag) {
-          tag = ((HasTag) kidLabel).tag();
-        }
-        if (tag == null) {
-          tag = kid.value();
-        }
-        Label wordLabel = kid.firstChild().label();
-        String word = null;
-        if (wordLabel instanceof HasWord) {
-          word = ((HasWord) wordLabel).word();
-        }
-        if (word == null) {
-          word = wordLabel.value();
-        }
-
-        if (DEBUG) {
-          System.err.println("Checking " + kid.value() + " head is " + word + '/' + tag);
-        }
-        String lcWord = word.toLowerCase();
-        if (verbalTags.contains(tag) && verbalSet.contains(lcWord)) {
-          if (DEBUG) {
-            System.err.println("hasPassiveProgressiveAuxiliary found passive aux");
-          }
-          foundPassiveAux = true;
-        }
-      } else if (kid.isPhrasal()) {
-        Label kidLabel = kid.label();
-        String cat = null;
-        if (kidLabel instanceof HasCategory) {
-          cat = ((HasCategory) kidLabel).category();
-        }
-        if (cat == null) {
-          cat = kid.value();
-        }
-        if ( ! cat.startsWith("VP")) {
-          continue;
-        }
-        if (DEBUG) {
-          System.err.println("hasPassiveProgressiveAuxiliary found VP");
-        }
-        Tree[] kidkids = kid.children();
-        boolean foundParticipleInVp = false;
-        for (Tree kidkid : kidkids) {
-          if (DEBUG) {
-            System.err.println("  hasPassiveProgressiveAuxiliary examining " + kidkid);
-          }
-          if (kidkid.isPreTerminal()) {
-            Label kidkidLabel = kidkid.label();
-            String tag = null;
-            if (kidkidLabel instanceof HasTag) {
-              tag = ((HasTag) kidkidLabel).tag();
-            }
-            if (tag == null) {
-              tag = kidkid.value();
-            }
-            // we allow in VBD because of frequent tagging mistakes
-            if ("VBN".equals(tag) || "VBG".equals(tag) || "VBD".equals(tag)) {
-              foundPassiveVP = true;
-              if (DEBUG) {
-                System.err.println("hasPassiveAuxiliary found VBN/VBG/VBD VP");
-              }
-              break;
-            } else if ("CC".equals(tag) && foundParticipleInVp) {
-              foundPassiveVP = true;
-              if (DEBUG) {
-                System.err.println("hasPassiveAuxiliary [coordination] found (VP (VP[VBN/VBG/VBD] CC");
-              }
-              break;
-            }
-          } else if (kidkid.isPhrasal()) {
-            String catcat = null;
-            if (kidLabel instanceof HasCategory) {
-              catcat = ((HasCategory) kidLabel).category();
-            }
-            if (catcat == null) {
-              catcat = kid.value();
-            }
-            if ("VP".equals(catcat)) {
-              if (DEBUG) {
-                System.err.println("hasPassiveAuxiliary found (VP (VP)), recursing");
-              }
-              foundParticipleInVp = vpContainsParticiple(kidkid);
-            } else if (("CONJP".equals(catcat) || "PRN".equals(catcat)) && foundParticipleInVp) { // occasionally get PRN in CONJ-like structures
-              foundPassiveVP = true;
-              if (DEBUG) {
-                System.err.println("hasPassiveAuxiliary [coordination] found (VP (VP[VBN/VBG/VBD] CONJP");
-              }
-              break;
-            }
-          }
-        }
-      }
-      if (foundPassiveAux && foundPassiveVP) {
-        break;
-      }
-    } // end for (Tree kid : kids)
-    if (DEBUG) {
-      System.err.println("hasPassiveProgressiveAuxiliary returns " + (foundPassiveAux && foundPassiveVP));
-    }
-    return foundPassiveAux && foundPassiveVP;
-  }
-
-  private boolean vpContainsParticiple(Tree t) {
-    for (Tree kid : t.children()) {
-      if (DEBUG) {
-        System.err.println("vpContainsParticiple examining " + kid);
-      }
-      if (kid.isPreTerminal()) {
-        Label kidLabel = kid.label();
-        String tag = null;
-        if (kidLabel instanceof HasTag) {
-          tag = ((HasTag) kidLabel).tag();
-        }
-        if (tag == null) {
-          tag = kid.value();
-        }
-        if ("VBN".equals(tag) || "VBG".equals(tag) || "VBD".equals(tag)) {
-          if (DEBUG) {
-            System.err.println("vpContainsParticiple found VBN/VBG/VBD VP");
-          }
-          return true;
-        }
-      }
-    }
-    return false;
-  }
-
-  /**
-   * Reinserted so samples.GetSubcats compiles ... should rework if
-   * this is going to stay.
-   *
-   * @param t A tree to examine for being an auxiliary.
-   * @return Whether it is a verbal auxiliary (be, do, have, get)
-   */
-  public boolean isVerbalAuxiliary(Tree t) {
-    Tree[] trees = new Tree[]{t};
-    return hasVerbalAuxiliary(trees, verbalAuxiliaries);
-  }
-
-
-  /** This looks to see whether any of the children is a preterminal headed by a word
-   *  which is within the set verbalSet (which in practice is either
-   *  auxiliary or copula verbs).  It only returns true if it's a preterminal head, since
-   *  you don't want to pick things up in phrasal daughters.  That is an error.
-   *
-   * @param kids The child trees
-   * @param verbalSet The set of words
-   * @return Returns true if one of the child trees is a preterminal verb headed
-   *      by a word in verbalSet
-   */
-  private boolean hasVerbalAuxiliary(Tree[] kids, HashSet<String> verbalSet) {
-    if (DEBUG) {
-      System.err.println("Checking for verbal auxiliary");
-    }
-    for (Tree kid : kids) {
-      if (DEBUG) {
-        System.err.println("  checking in " + kid);
-      }
-      if (kid.isPreTerminal()) {
-        Label kidLabel = kid.label();
-        String tag = null;
-        if (kidLabel instanceof HasTag) {
-          tag = ((HasTag) kidLabel).tag();
-        }
-        if (tag == null) {
-          tag = kid.value();
-        }
-        Label wordLabel = kid.firstChild().label();
-        String word = null;
-        if (wordLabel instanceof HasWord) {
-          word = ((HasWord) wordLabel).word();
-        }
-        if (word == null) {
-          word = wordLabel.value();
-        }
-
-        if (DEBUG) {
-          System.err.println("Checking " + kid.value() + " head is " + word + '/' + tag);
-        }
-        String lcWord = word.toLowerCase();
-        if (verbalTags.contains(tag) && verbalSet.contains(lcWord)) {
-          if (DEBUG) {
-            System.err.println("hasVerbalAuxiliary returns true");
-          }
-          return true;
-        }
-      }
-    }
-    if (DEBUG) {
-      System.err.println("hasVerbalAuxiliary returns false");
-    }
-    return false;
-  }
-
-
-  private static final long serialVersionUID = 5721799188009249808L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleConstituent.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleConstituent.java
deleted file mode 100644
index 8314782..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleConstituent.java
+++ /dev/null
@@ -1,200 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.LabelFactory;
-
-/**
- * A <code>SimpleConstituent</code> object defines a generic edge in a graph.
- * The <code>SimpleConstituent</code> records only the endpoints of the
- * <code>Constituent</code>, as two integers.
- * It doesn't label the edges.
- * (It doesn't implement equals() since this actually decreases
- * performance on a non-final class (requires dynamic resolution of which
- * to call).)
- *
- * @author Christopher Manning
- */
-public class SimpleConstituent extends Constituent {
-
-  /**
-   * Left node of edge.
-   */
-  private int start;
-
-  /**
-   * End node of edge.
-   */
-  private int end;
-
-
-  /**
-   * Create an empty <code>SimpleConstituent</code> object.
-   */
-  public SimpleConstituent() {
-    // implicitly super();
-  }
-
-
-  /**
-   * Create a <code>SimpleConstituent</code> object with given values.
-   *
-   * @param start start node of edge
-   * @param end   end node of edge
-   */
-  public SimpleConstituent(int start, int end) {
-    this.start = start;
-    this.end = end;
-  }
-
-
-  /**
-   * access start node.
-   */
-  @Override
-  public int start() {
-    return start;
-  }
-
-
-  /**
-   * set start node.
-   */
-  @Override
-  public void setStart(int start) {
-    this.start = start;
-  }
-
-
-  /**
-   * access end node.
-   */
-  @Override
-  public int end() {
-    return end;
-  }
-
-
-  /**
-   * set end node.
-   */
-  @Override
-  public void setEnd(int end) {
-    this.end = end;
-  }
-
-
-  /**
-   * A <code>SimpleConstituentLabelFactory</code> object makes a
-   * <code>StringLabel</code> <code>LabeledScoredConstituent</code>.
-   */
-  private static class SimpleConstituentLabelFactory implements LabelFactory {
-
-    /**
-     * Make a new <code>SimpleConstituent</code>.
-     *
-     * @param labelStr A string.
-     * @return The created label
-     */
-    public Label newLabel(final String labelStr) {
-      return new SimpleConstituent(0, 0);
-    }
-
-
-    /**
-     * Make a new <code>SimpleConstituent</code>.
-     *
-     * @param labelStr A string.
-     * @param options  The options are ignored.
-     * @return The created label
-     */
-    public Label newLabel(final String labelStr, final int options) {
-      return newLabel(labelStr);
-    }
-
-
-    /**
-     * Make a new <code>SimpleConstituent</code>.
-     *
-     * @param labelStr A string.
-     * @return The created label
-     */
-    public Label newLabelFromString(final String labelStr) {
-      return newLabel(labelStr);
-    }
-
-
-    /**
-     * Create a new <code>SimpleConstituent</code>.
-     *
-     * @param oldLabel A <code>Label</code>.
-     * @return A new <code>SimpleConstituent</code>
-     */
-    public Label newLabel(Label oldLabel) {
-      return new SimpleConstituent(0, 0);
-    }
-
-  }
-
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class LabelFactoryHolder {
-    static final LabelFactory lf = new SimpleConstituentLabelFactory();
-  }
-
-
-  /**
-   * Return a factory for this kind of label.
-   * The factory returned is always the same one (a singleton)
-   *
-   * @return the label factory
-   */
-  public LabelFactory labelFactory() {
-    return LabelFactoryHolder.lf;
-  }
-
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class ConstituentFactoryHolder {
-
-    /**
-     * A <code>SimpleConstituentFactory</code> acts as a factory for
-     * creating objects of class <code>SimpleConstituent</code>.
-     */
-    private static class SimpleConstituentFactory implements ConstituentFactory {
-
-      public Constituent newConstituent(int start, int end) {
-        return new SimpleConstituent(start, end);
-      }
-
-      public Constituent newConstituent(int start, int end, Label label, double score) {
-        return new SimpleConstituent(start, end);
-      }
-
-    }
-
-    static final ConstituentFactory cf = new SimpleConstituentFactory();
-  }
-
-
-  /**
-   * Return a factory for this kind of constituent.
-   * The factory returned is always the same one (a singleton).
-   *
-   * @return The constituent factory
-   */
-  public ConstituentFactory constituentFactory() {
-    return ConstituentFactoryHolder.cf;
-  }
-
-
-  /**
-   * Return a factory for this kind of constituent.
-   * The factory returned is always the same one (a singleton).
-   *
-   * @return The constituent factory
-   */
-  public static ConstituentFactory factory() {
-    return ConstituentFactoryHolder.cf;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleConstituentFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleConstituentFactory.java
deleted file mode 100644
index ced8357..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleConstituentFactory.java
+++ /dev/null
@@ -1,23 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-
-/**
- * A <code>ConstituentFactory</code> acts as a factory for creating objects
- * of class <code>Constituent</code>, or some descendent class.
- * An interface.
- *
- * @author Christopher Manning
- */
-public class SimpleConstituentFactory implements ConstituentFactory {
-
-  public Constituent newConstituent(int start, int end) {
-    return new SimpleConstituent(start, end);
-  }
-
-
-  public Constituent newConstituent(int start, int end, Label label, double score) {
-    return new SimpleConstituent(start, end);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleTree.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleTree.java
deleted file mode 100644
index 0783397..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleTree.java
+++ /dev/null
@@ -1,111 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-
-import java.util.List;
-
-/**
- * A <code>SimpleTree</code> is a minimal concrete implementation of an
- * unlabeled, unscored <code>Tree</code>.  It has a tree structure, but no
- * annotation at nodes.
- *
- * @author Christopher Manning
- */
-public class SimpleTree extends Tree {
-
-  /**
-   * 
-   */
-  private static final long serialVersionUID = -8075763706877132926L;
-  /**
-   * Daughters of the parse tree.
-   */
-  private Tree[] daughterTrees;
-
-  /**
-   * Create an empty parse tree.
-   */
-  public SimpleTree() {
-    daughterTrees = EMPTY_TREE_ARRAY;
-  }
-
-  /**
-   * Create parse tree with given root and null daughters.
-   *
-   * @param label root label of new tree to construct.  For a SimpleTree
-   *              this parameter is ignored.
-   */
-  public SimpleTree(Label label) {
-    this();
-  }
-
-  /**
-   * Create parse tree with given root and array of daughter trees.
-   *
-   * @param label             root label of tree to construct.  For a SimpleTree
-   *                          this parameter is ignored
-   * @param daughterTreesList list of daughter trees to construct.
-   */
-  public SimpleTree(Label label, List<Tree> daughterTreesList) {
-    setChildren(daughterTreesList);
-  }
-
-
-  /**
-   * Returns an array of children for the current node, or null
-   * if it is a leaf.
-   */
-  @Override
-  public Tree[] children() {
-    return daughterTrees;
-  }
-
-  /**
-   * Sets the children of this <code>Tree</code>.  If given
-   * <code>null</code>, this method sets the Tree's children to a
-   * unique zero-length Tree[] array.
-   *
-   * @param children An array of child trees
-   */
-  @Override
-  public void setChildren(Tree[] children) {
-    if (children == null) {
-      System.err.println("Warning -- you tried to set the children of a SimpleTree to null.\nYou should be really using a zero-length array instead.");
-      daughterTrees = EMPTY_TREE_ARRAY;
-    } else {
-      daughterTrees = children;
-    }
-  }
-
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class TreeFactoryHolder {
-    static final TreeFactory tf = new SimpleTreeFactory();
-  }
-
-
-  /**
-   * Return a <code>TreeFactory</code> that produces trees of the
-   * <code>SimpleTree</code> type.
-   * The factory returned is always the same one (a singleton).
-   *
-   * @return a factory to produce simple (unlabelled) trees
-   */
-  @Override
-  public TreeFactory treeFactory() {
-    return TreeFactoryHolder.tf;
-  }
-
-
-  /**
-   * Return a <code>TreeFactory</code> that produces trees of the
-   * <code>SimpleTree</code> type.
-   * The factory returned is always the same one (a singleton).
-   *
-   * @return a factory to produce simple (unlabelled) trees
-   */
-  public static TreeFactory factory() {
-    return TreeFactoryHolder.tf;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleTreeFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleTreeFactory.java
deleted file mode 100644
index c51d3ce..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleTreeFactory.java
+++ /dev/null
@@ -1,54 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.LabelFactory;
-
-import java.util.List;
-
-
-/**
- * A <code>SimpleTreeFactory</code> acts as a factory for creating objects
- * of class <code>SimpleTree</code>.
- * <p/>
- * <i>NB: A SimpleTree stores tree geometries but no node labels.  Make sure
- * this is what you really want.</i>
- *
- * @author Christopher Manning
- */
-public class SimpleTreeFactory implements TreeFactory {
-
-  /**
-   * Creates a new <code>TreeFactory</code>.  A
-   * <code>SimpleTree</code> stores no <code>Label</code>, so no
-   * <code>LabelFactory</code> is built.
-   */
-  public SimpleTreeFactory() {
-  }
-
-  /**
-   * Creates a new <code>TreeFactory</code>.  A
-   * <code>SimpleTree</code> stores no <code>Label</code>, so the
-   * <code>LabelFactory</code> argument is ignored.
-   *
-   * @param lf This argument is ignored
-   */
-  public SimpleTreeFactory(final LabelFactory lf) {
-  }
-
-  public Tree newLeaf(final String word) {
-    return new SimpleTree();
-  }
-
-  public Tree newLeaf(final Label word) {
-    return new SimpleTree();
-  }
-
-  public Tree newTreeNode(final String parent, final List<Tree> children) {
-    return new SimpleTree(null, children);
-  }
-
-  public Tree newTreeNode(final Label parentLabel, final List<Tree> children) {
-    return new SimpleTree(parentLabel, children);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleTreeReaderFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleTreeReaderFactory.java
deleted file mode 100644
index c264c06..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/SimpleTreeReaderFactory.java
+++ /dev/null
@@ -1,28 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.Reader;
-
-/**
- * This class implements a simple default <code>TreeReaderFactory</code>.
- * <p/>
- * <i>NB: A SimpleTree stores tree geometries but no node labels.  Make sure
- * this is what you really want.</i>
- *
- * @author Christopher Manning
- */
-public class SimpleTreeReaderFactory implements TreeReaderFactory {
-
-  /**
-   * Returns a new <code>TreeReader</code>.
-   * Implements the <code>TreeReaderFactory</code> interface.
-   * It creates a simple, default <code>TreeReader</code> which literally
-   * reproduces trees in the treebank.  It uses all the defaults of the
-   * <code>TreeReader</code> class, which means that you get a
-   * <code>SimpleTreeFactory</code>, no <code>TreeNormalizer</code>, and
-   * a <code>PennTreebankTokenizer</code>.
-   */
-  public TreeReader newTreeReader(Reader in) {
-    return new PennTreeReader(in);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TransformingTreebank.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TransformingTreebank.java
deleted file mode 100644
index cadb466..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TransformingTreebank.java
+++ /dev/null
@@ -1,265 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.util.Timing;
-import edu.stanford.nlp.ling.Label;
-
-import java.io.File;
-import java.io.FileFilter;
-import java.io.Reader;
-import java.util.Iterator;
-import java.util.Arrays;
-
-
-/** This class wraps another Treebank, and will vend trees that have been through
- *  a TreeTransformer.  You can access them via requests like <code>apply()</code> or
- *  <code>iterator()</code>.
- *  <p>
- *  <i>Important note</i>: This class will only function properly if the TreeTransformer
- *  used is a function (which doesn't change its argument) rather than if it is a
- *  TreeMunger.
- *
- *  @author Pi-Chuan Chang
- *  @author Christopher Manning
- */
-public class TransformingTreebank extends Treebank {
-
-  private TreeTransformer transformer;
-  private Treebank tb;
-
-  private static final boolean VERBOSE = false;
-
-
-  /**
-   * Create a new TransformingTreebank.
-   * The trees are made with a <code>LabeledScoredTreeReaderFactory</code>.
-   * <p/>
-   * <i>Compatibility note: Until Sep 2004, this used to create a Treebank
-   * with a SimpleTreeReaderFactory, but this was changed as the old
-   * default wasn't very useful, especially to naive users.</i>
-   */
-  public TransformingTreebank() {
-    this(new LabeledScoredTreeReaderFactory());
-  }
-
-  /**
-   * Create a new TransformingTreebank.
-   *
-   * @param trf the factory class to be called to create a new
-   *            <code>TreeReader</code>
-   */
-  public TransformingTreebank(TreeReaderFactory trf) {
-    super(trf);
-  }
-
-  /**
-   * Create a new TransformingTreebank from a base Treebank that will
-   * transform trees with the given TreeTransformer.
-   * This is the constructor that you should use.
-   *
-   * @param tb The base Treebank
-   * @param transformer The TreeTransformer applied to each Tree.
-   */
-  public TransformingTreebank(Treebank tb, TreeTransformer transformer) {
-    this.tb = tb;
-    this.transformer = transformer;
-  }
-
-
-  /**
-   * Empty a <code>Treebank</code>.
-   */
-  @Override
-  public void clear() {
-    tb.clear();
-    transformer = null;
-  }
-
-
-  // public String toString() {
-  //   return "TransformingTreebank[transformer=" + transformer + "]\n" + super.toString();
-  // }
-
-
-  /**
-   * Load trees from given path specification.
-   *
-   * @param path file or directory to load from
-   * @param filt a FilenameFilter of files to load
-   */
-  @Override
-  public void loadPath(File path, FileFilter filt) {
-    throw new UnsupportedOperationException();
-  }
-
-  /**
-   * Applies the TreeVisitor to to all trees in the Treebank.
-   *
-   * @param tv A class that can process trees.
-   */
-  @Override
-  public void apply(TreeVisitor tv) {
-    for (Tree t : tb) {
-      if (VERBOSE) System.out.println("TfTbApply transforming " + t);
-      Tree tmpT = t.deepCopy();
-      if (transformer != null) {
-        tmpT = transformer.transformTree(tmpT);
-      }
-      if (VERBOSE) System.out.println("  to " + tmpT);
-      tv.visitTree(tmpT);
-    }
-  }
-
-  /**
-   */
-  @Override
-  public Iterator<Tree> iterator() {
-    return new TransformingTreebankIterator(tb.iterator(), transformer);
-  }
-
-  /**
-   * Loads treebank grammar from first argument and prints it.
-   * Just a demonstration of functionality. <br>
-   * <code>usage: java MemoryTreebank treebankFilesPath</code>
-   *
-   * @param args array of command-line arguments
-   */
-  public static void main(String[] args) {
-    Timing.startTime();
-    Treebank treebank = new DiskTreebank(new TreeReaderFactory() {
-      public TreeReader newTreeReader(Reader in) {
-        return new PennTreeReader(in, new LabeledScoredTreeFactory());
-      }
-    });
-    Treebank treebank2 = new MemoryTreebank(new TreeReaderFactory() {
-      public TreeReader newTreeReader(Reader in) {
-        return new PennTreeReader(in, new LabeledScoredTreeFactory());
-      }
-    });
-    treebank.loadPath(args[0]);
-    treebank2.loadPath(args[0]);
-    CompositeTreebank c = new CompositeTreebank(treebank, treebank2);
-    Timing.endTime();
-    TreeTransformer myTransformer = new MyTreeTransformer();
-    TreeTransformer myTransformer2 = new MyTreeTransformer2();
-    TreeTransformer myTransformer3 = new MyTreeTransformer3();
-    Treebank tf1 = c.transform(myTransformer).transform(myTransformer2).transform(myTransformer3);
-    Treebank tf2 = new TransformingTreebank(new TransformingTreebank(new TransformingTreebank(c, myTransformer), myTransformer2), myTransformer3);
-    TreeTransformer[] tta = { myTransformer, myTransformer2, myTransformer3 };
-    TreeTransformer tt3 = new CompositeTreeTransformer(Arrays.asList(tta));
-    Treebank tf3 = c.transform(tt3);
-
-    System.out.println("-------------------------");
-    System.out.println("COMPOSITE (DISK THEN MEMORY REPEATED VERSION OF) INPUT TREEBANK");
-    System.out.println(c);
-    System.out.println("-------------------------");
-    System.out.println("SLOWLY TRANSFORMED TREEBANK, USING TransformingTreebank() CONSTRUCTOR");
-    Treebank tx1 = new TransformingTreebank(c, myTransformer);
-    System.out.println(tx1);
-    System.out.println("-----");
-    Treebank tx2 = new TransformingTreebank(tx1, myTransformer2);
-    System.out.println(tx2);
-    System.out.println("-----");
-    Treebank tx3 = new TransformingTreebank(tx2, myTransformer3);
-    System.out.println(tx3);
-    System.out.println("-------------------------");
-    System.out.println("TRANSFORMED TREEBANK, USING Treebank.transform()");
-    System.out.println(tf1);
-    System.out.println("-------------------------");
-    System.out.println("PRINTING AGAIN TRANSFORMED TREEBANK, USING Treebank.transform()");
-    System.out.println(tf1);
-    System.out.println("-------------------------");
-    System.out.println("TRANSFORMED TREEBANK, USING TransformingTreebank() CONSTRUCTOR");
-    System.out.println(tf2);
-    System.out.println("-------------------------");
-    System.out.println("TRANSFORMED TREEBANK, USING CompositeTreeTransformer");
-    System.out.println(tf3);
-    System.out.println("-------------------------");
-    System.out.println("COMPOSITE (DISK THEN MEMORY REPEATED VERSION OF) INPUT TREEBANK");
-    System.out.println(c);
-    System.out.println("-------------------------");
-  } // end main
-
-
-  private static class TransformingTreebankIterator implements Iterator<Tree> {
-
-    private Iterator<Tree> iter;
-    private TreeTransformer transformer;
-
-    TransformingTreebankIterator (Iterator<Tree> iter, TreeTransformer transformer) {
-      this.iter = iter;
-      this.transformer = transformer;
-    }
-
-    public boolean hasNext() {
-      return iter.hasNext();
-    }
-
-    public Tree next() {
-      // this line will throw NoSuchElement exception if empty base iterator....
-      Tree ret = iter.next();
-      if (VERBOSE) System.out.println("TfTbIterator transforming " + ret);
-      if (transformer != null) {
-        ret = transformer.transformTree(ret);
-      }
-      if (VERBOSE) System.out.println("  to " + ret);
-      return ret;
-    }
-
-    public void remove() {
-      throw new UnsupportedOperationException();
-    }
-
-  } // end static class TransformingTreebankIterator
-
-
-  private static class MyTreeTransformer implements TreeTransformer {
-
-    public Tree transformTree(Tree tree) {
-      Tree treeCopy = tree.deepCopy();
-      for (Tree subtree : treeCopy) {
-        if (subtree.depth() < 2) {
-          continue;
-        }
-        String categoryLabel = subtree.label().toString();
-        Label label = subtree.label();
-        label.setFromString(categoryLabel+"-t1");
-      }
-      return treeCopy;
-    }
-  }
-
-
-  private static class MyTreeTransformer2 implements TreeTransformer {
-
-    public Tree transformTree(Tree tree) {
-      Tree treeCopy = tree.deepCopy();
-      for (Tree subtree : treeCopy) {
-        if (subtree.depth() < 1) {
-          continue;
-        }
-        String categoryLabel = subtree.label().toString();
-        Label label = subtree.label();
-        label.setFromString(categoryLabel+"-t2");
-      }
-      return treeCopy;
-    }
-  }
-
-
-  private static class MyTreeTransformer3 implements TreeTransformer {
-
-    public Tree transformTree(Tree tree) {
-      Tree treeCopy = tree.deepCopy();
-      for (Tree subtree : treeCopy) {
-        if (subtree.depth() < 2) {
-          continue;
-        }
-        String categoryLabel = subtree.label().toString();
-        Label label = subtree.label();
-        label.setFromString(categoryLabel+"-t3");
-      }
-      return treeCopy;
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Tree.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Tree.java
deleted file mode 100644
index 3b4ad99..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Tree.java
+++ /dev/null
@@ -1,2882 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.IOException;
-import java.io.OutputStreamWriter;
-import java.io.PrintStream;
-import java.io.PrintWriter;
-import java.io.Serializable;
-import java.io.StringReader;
-import java.io.StringWriter;
-import java.util.*;
-
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.HasTag;
-import edu.stanford.nlp.ling.HasWord;
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.LabelFactory;
-import edu.stanford.nlp.ling.LabeledWord;
-import edu.stanford.nlp.ling.Sentence;
-import edu.stanford.nlp.ling.TaggedWord;
-import edu.stanford.nlp.ling.Word;
-import edu.stanford.nlp.ling.CoreAnnotations.BeginIndexAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.EndIndexAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.SpanAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.Filter;
-import edu.stanford.nlp.util.Filters;
-import edu.stanford.nlp.util.IntPair;
-import edu.stanford.nlp.util.MutableInteger;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.Scored;
-import edu.stanford.nlp.util.StringUtils;
-import edu.stanford.nlp.util.XMLUtils;
-
-/**
- * The abstract class <code>Tree</code> is used to collect all of the
- * tree types, and acts as a generic extendable type.  This is the
- * standard implementation of inheritance-based polymorphism.
- * All <code>Tree</code> objects support accessors for their children (a
- * <code>Tree[]</code>), their label (a <code>Label</code>), and their
- * score (a <code>double</code>).  However, different concrete
- * implementations may or may not include the latter two, in which
- * case a default value is returned.  The class Tree defines no data
- * fields.  The two abstract methods that must be implemented are:
- * <code>children()</code>, and <code>treeFactory()</code>.  Notes
- * that <code>setChildren(Tree[])</code> is now an optional
- * operation, whereas it was previously required to be
- * implemented. There is now support for finding the parent of a
- * tree.  This may be done by search from a tree root, or via a
- * directly stored parent.  The <code>Tree</code> class now
- * implements the <code>Collection</code> interface: in terms of
- * this, each <i>node</i> of the tree is an element of the
- * collection; hence one can explore the tree by using the methods of
- * this interface.  A <code>Tree</code> is regarded as a read-only
- * <code>Collection</code> (even though the <code>Tree</code> class
- * has various methods that modify trees).  Moreover, the
- * implementation is <i>not</i> thread-safe: no attempt is made to
- * detect and report concurrent modifications.
- *
- * @author Christopher Manning
- * @author Dan Klein
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) - filled in types
- */
-public abstract class Tree extends AbstractCollection<Tree> implements Label, Labeled, Scored, Serializable {
-
-  private static final long serialVersionUID = 5441849457648722744L;
-
-  private double score = Double.NaN;
-
-  /**
-   * A leaf node should have a zero-length array for its
-   * children. For efficiency, classes can use this array as a
-   * return value for children() for leaf nodes if desired.
-   * This can also be used elsewhere when you want an empty Tree array.
-   */
-  public static final Tree[] EMPTY_TREE_ARRAY = new Tree[0];
-
-  public Tree() {
-  }
-
-  /**
-   * Says whether a node is a leaf.  Can be used on an arbitrary
-   * <code>Tree</code>.  Being a leaf is defined as having no
-   * children.  This must be implemented as returning a zero-length
-   * Tree[] array for children().  This is the preferred
-   * alternative to running meta checks on types, as it works
-   * independent of Tree implementation.
-   *
-   * @return true if this object is a leaf
-   */
-  public boolean isLeaf() {
-    Tree[] kids = children();
-    return kids.length == 0;
-  }
-
-
-  /**
-   * Says how many children a tree node has in its local tree.
-   * Can be used on an arbitrary <code>Tree</code>.  Being a leaf is defined
-   * as having no children.
-   *
-   * @return The number of direct children of the tree node
-   */
-  public int numChildren() {
-    return children().length;
-  }
-
-
-  /**
-   * Says whether the current node has only one child.
-   * Can be used on an arbitrary <code>Tree</code>.
-   *
-   * @return Whether the node heads a unary rewrite
-   */
-  public boolean isUnaryRewrite() {
-    return numChildren() == 1;
-  }
-
-
-  /**
-   * Return whether this node is a preterminal or not.  A preterminal is
-   * defined to be a node with one child which is itself a leaf.
-   *
-   * @return true if the node is a preterminal; false otherwise
-   */
-  public boolean isPreTerminal() {
-    Tree[] kids = children();
-    return (kids.length == 1) && (kids[0].isLeaf());
-  }
-
-
-  /**
-   * Return whether all the children of this node are preterminals or not.
-   * A preterminal is
-   * defined to be a node with one child which is itself a leaf.
-   * Considered false if the node has no children
-   *
-   * @return true if the node is a prepreterminal; false otherwise
-   */
-  public boolean isPrePreTerminal() {
-    Tree[] kids = children();
-    if (kids.length == 0) {
-      return false;
-    }
-    for (Tree kid : kids) {
-      if ( ! kid.isPreTerminal()) {
-        return false;
-      }
-    }
-    return true;
-  }
-
-
-  /**
-   * Return whether this node is a phrasal node or not.  A phrasal node
-   * is defined to be a node which is not a leaf or a preterminal.
-   * Worded positively, this means that it must have two or more children,
-   * or one child that is not a leaf.
-   *
-   * @return <code>true</code> if the node is phrasal;
-   *         <code>false</code> otherwise
-   */
-  public boolean isPhrasal() {
-    Tree[] kids = children();
-    return !(kids == null || kids.length == 0 || (kids.length == 1 && kids[0].isLeaf()));
-  }
-
-
-  /**
-   * Implements equality for Tree's.  Two Tree objects are equal if they
-   * have equal {@link #value}s, the same number of children, and their children
-   * are pairwise equal.
-   *
-   * @param o The object to compare with
-   * @return Whether two things are equal
-   */
-  @Override
-  public boolean equals(Object o) {
-    if (o == this) {
-      return true;
-    }
-    if (!(o instanceof Tree)) {
-      return false;
-    }
-    Tree t = (Tree) o;
-    String value1 = this.value();
-    String value2 = t.value();
-    if (value1 != null || value2 != null) {
-    	if (value1 == null || value2 == null || !value1.equals(value2)) {
-    		return false;
-    	}
-    }
-    Tree[] mykids = children();
-    Tree[] theirkids = t.children();
-    //if((mykids == null && (theirkids == null || theirkids.length != 0)) || (theirkids == null && mykids.length != 0) || (mykids.length != theirkids.length)){
-    if (mykids.length != theirkids.length) {
-      return false;
-    }
-    for (int i = 0; i < mykids.length; i++) {
-      if (!mykids[i].equals(theirkids[i])) {
-        return false;
-      }
-    }
-    return true;
-  }
-
-
-  /**
-   * Implements a hashCode for Tree's.  Two trees should have the same
-   * hashcode if they are equal, so we hash on the label value and
-   * the children's label values.
-   *
-   * @return The hash code
-   */
-  @Override
-  public int hashCode() {
-    String v = this.value();
-    int hc = (v == null) ? 1 : v.hashCode();
-    Tree[] kids = children();
-    for (int i = 0; i < kids.length; i++) {
-      v = kids[i].value();
-      int hc2 = (v == null) ? i : v.hashCode();
-      hc ^= (hc2 << i);
-    }
-    return hc;
-  }
-
-
-  /**
-   * Returns the position of a Tree in the children list, if present, or
-   * -1 if it is not present.  Trees are checked for presence with
-   * <code>equals()</code>.
-   *
-   * @param tree The tree to look for in children list
-   * @return Its index in the list or -1
-   */
-  public int indexOf(Tree tree) {
-    Tree[] kids = children();
-    for (int i = 0; i < kids.length; i++) {
-      if (kids[i].equals(tree)) {
-        return i;
-      }
-    }
-    return -1;
-  }
-
-
-  /**
-   * Returns an array of children for the current node.  If there
-   * are no children (if the node is a leaf), this must return a
-   * Tree[] array of length 0.  A null children() value for tree
-   * leaves was previously supported, but no longer is.
-   * A caller may assume that either <code>isLeaf()</code> returns
-   * true, or this node has a nonzero number of children.
-   *
-   * @return The children of the node
-   * @see #getChildrenAsList()
-   */
-  public abstract Tree[] children();
-
-
-  /**
-   * Returns a List of children for the current node.  If there are no
-   * children, then a (non-null) <code>List&lt;Tree&gt;</code> of size 0 will
-   * be returned.  The list has new list structure but pointers to,
-   * not copies of the children.  That is, the returned list is mutable,
-   * and simply adding to or deleting items from it is safe, but beware
-   * changing the contents of the children.
-   *
-   * @return The children of the node
-   */
-  public List<Tree> getChildrenAsList() {
-    return new ArrayList<Tree>(Arrays.asList(children()));
-  }
-
-
-  /**
-   * Set the children of this node to be the children given in the
-   * array.  This is an <b>optional</b> operation; by default it is
-   * unsupported.  Note for subclasses that if there are no
-   * children, the children() method must return a Tree[] array of
-   * length 0.  This class gives subclasses access to a protected
-   * <code>ZEROCHILDREN</code> canonical zero-length Tree[] array
-   * to represent zero children, but it is <i>not</i> required that
-   * leaf nodes use this particular zero-length array to represent
-   * a leaf node.
-   *
-   * @param children The array of children, each a <code>Tree</code>
-   * @see #setChildren(List)
-   */
-  public void setChildren(Tree[] children) {
-    throw new UnsupportedOperationException();
-  }
-
-
-  /**
-   * Set the children of this tree node to the given list.  This
-   * method is implemented in the <code>Tree</code> class by
-   * converting the <code>List</code> into a tree array and calling
-   * the array-based method.  Subclasses which use a
-   * <code>List</code>-based representation of tree children should
-   * override this method.  This implementation allows the case
-   * that the <code>List</code> is <code>null</code>: it yields a
-   * node with no children (represented by a canonical zero-length
-   * children() array).
-   *
-   * @param childTreesList A list of trees to become children of the node.
-   *          This method does not retain the List that you pass it (copying
-   *          is done), but it will retain the individual children (they are
-   *          not copied).
-   * @see #setChildren(Tree[])
-   */
-  public void setChildren(List<? extends Tree> childTreesList) {
-    if (childTreesList == null || childTreesList.isEmpty()) {
-      setChildren(EMPTY_TREE_ARRAY);
-    } else {
-      int leng = childTreesList.size();
-      Tree[] childTrees = new Tree[leng];
-      childTreesList.toArray(childTrees);
-      setChildren(childTrees);
-    }
-  }
-
-
-  /**
-   * Returns the label associated with the current node, or null
-   * if there is no label.  The default implementation always
-   * returns <code>null</code>.
-   *
-   * @return The label of the node
-   */
-  public Label label() {
-    return null;
-  }
-
-
-  /**
-   * Sets the label associated with the current node, if there is one.
-   * The default implementation ignores the label.
-   *
-   * @param label The label
-   */
-  public void setLabel(Label label) {
-    // a noop
-  }
-
-
-  /**
-   * Returns the score associated with the current node, or NaN
-   * if there is no score.  The default implementation returns NaN.
-   *
-   * @return The score
-   */
-  public double score() {
-    return score;
-  }
-
-
-  /**
-   * Sets the score associated with the current node, if there is one.
-   *
-   * @param score The score
-   */
-  public void setScore(double score) {
-    this.score = score;
-  }
-
-
-  /**
-   * Returns the first child of a tree, or <code>null</code> if none.
-   *
-   * @return The first child
-   */
-  public Tree firstChild() {
-    Tree[] kids = children();
-    if (kids.length == 0) {
-      return null;
-    }
-    return kids[0];
-  }
-
-
-  /**
-   * Returns the last child of a tree, or <code>null</code> if none.
-   *
-   * @return The last child
-   */
-  public Tree lastChild() {
-    Tree[] kids = children();
-    if (kids.length == 0) {
-      return null;
-    }
-    return kids[kids.length - 1];
-  }
-
-  /** Return the highest node of the (perhaps trivial) unary chain that
-   *  this node is part of.
-   *  In case this node is the only child of its parent, trace up the chain of
-   *  unaries, and return the uppermost node of the chain (the node whose
-   *  parent has multiple children, or the node that is the root of the tree).
-   *
-   *  @param root The root of the tree that contains this subtree
-   *  @return The uppermost node of the unary chain, if this node is in a unary
-   *         chain, or else the current node
-   */
-  public Tree upperMostUnary(Tree root) {
-    Tree parent = parent(root);
-    if (parent == null) {
-      return this;
-    }
-    if (parent.numChildren() > 1) {
-      return this;
-    }
-    return parent.upperMostUnary(root);
-  }
-
-  public void setSpans() {
-    constituentsNodes(0);
-  }
-
-  public IntPair getSpan() {
-    if(label() instanceof CoreLabel && ((CoreLabel) label()).has(SpanAnnotation.class))
-      return ((CoreLabel) label()).get(SpanAnnotation.class);
-    return null;
-  }
-
-  /**
-   * Returns the Constituents generated by the parse tree. Constituents
-   * are computed with respect to whitespace (e.g., at the word level).
-   *
-   * @return a Set of the constituents as constituents of
-   *         type <code>Constituent</code>
-   */
-  public Set<Constituent> constituents() {
-    return constituents(new SimpleConstituentFactory());
-  }
-
-
-  /**
-   * Returns the Constituents generated by the parse tree.
-   * The Constituents of a sentence include the preterminal categories
-   * but not the leaves.
-   *
-   * @param cf ConstituentFactory used to build the Constituent objects
-   * @return a Set of the constituents as SimpleConstituent type
-   *         (in the current implementation, a <code>HashSet</code>
-   */
-  public Set<Constituent> constituents(ConstituentFactory cf) {
-    return constituents(cf,false);
-  }
-
-  /**
-   * Returns the Constituents generated by the parse tree.
-   * The Constituents of a sentence include the preterminal categories
-   * but not the leaves.
-   *
-   * @param cf ConstituentFactory used to build the Constituent objects
-   * @param charLevel If true, compute bracketings irrespective of whitespace boundaries.
-   * @return a Set of the constituents as SimpleConstituent type
-   *         (in the current implementation, a <code>HashSet</code>
-   */
-  public Set<Constituent> constituents(ConstituentFactory cf, boolean charLevel) {
-    Set<Constituent> constituentsSet = new HashSet<Constituent>();
-    constituents(constituentsSet, 0, cf, charLevel);
-    return constituentsSet;
-  }
-
-  /**
-   * Same as int constituents but just puts the span as an IntPair
-   * in the CoreLabel of the nodes.
-   *
-   * @param left The left position to begin labeling from
-   * @return The index of the right frontier of the constituent
-   */
-  private int constituentsNodes(int left) {
-    if (isPreTerminal()) {
-      if(label() instanceof CoreLabel)
-        ((CoreLabel) label()).set(SpanAnnotation.class, new IntPair(left, left));
-      return (left + 1);
-    }
-    int position = left;
-
-    // enumerate through daughter trees
-    Tree[] kids = children();
-    for (Tree kid : kids)
-      position = kid.constituentsNodes(position);
-
-    //Parent span
-    if(label() instanceof CoreLabel)
-      ((CoreLabel) label()).set(SpanAnnotation.class, new IntPair(left, position - 1));
-
-    return position;
-  }
-
-  /**
-   * Adds the constituents derived from <code>this</code> tree to
-   * the ordered <code>Constituent</code> <code>Set</code>, beginning
-   * numbering from the second argument and returning the number of
-   * the right edge.  The reason for the return of the right frontier
-   * is in order to produce bracketings recursively by threading through
-   * the daughters of a given tree.
-   *
-   * @param constituentsSet set of constituents to add results of bracketing
-   *                        this tree to
-   * @param left            left position to begin labeling the bracketings with
-   * @param cf              ConstituentFactory used to build the Constituent objects
-   * @param charLevel       If true, compute constituents without respect to whitespace. Otherwise,
-   * preserve whitespace boundaries.
-   * @return Index of right frontier of Constituent
-   */
-  private int constituents(Set<Constituent> constituentsSet, int left, ConstituentFactory cf, boolean charLevel) {
-
-    if(isPreTerminal())
-      return left + ((charLevel) ? firstChild().value().length() : 1);
-
-    int position = left;
-
-    // System.err.println("In bracketing trees left is " + left);
-    // System.err.println("  label is " + label() +
-    //                       "; num daughters: " + children().length);
-    Tree[] kids = children();
-    for (Tree kid : kids) {
-      position = kid.constituents(constituentsSet, position, cf, charLevel);
-      // System.err.println("  position went to " + position);
-    }
-
-    //Compute span of entire tree at the end of recursion
-    constituentsSet.add(cf.newConstituent(left, position - 1, label(), score()));
-    // System.err.println("  added " + label());
-    return position;
-  }
-
-
-  /**
-   * Returns a new Tree that represents the local Tree at a certain node.
-   * That is, it builds a new tree that copies the mother and daughter
-   * nodes (but not their Labels), as non-Leaf nodes,
-   * but zeroes out their children.
-   *
-   * @return A local tree
-   */
-  public Tree localTree() {
-    Tree[] kids = children();
-    Tree[] newKids = new Tree[kids.length];
-    TreeFactory tf = treeFactory();
-    for (int i = 0, n = kids.length; i < n; i++) {
-      newKids[i] = tf.newTreeNode(kids[i].label(), Arrays.asList(EMPTY_TREE_ARRAY));
-    }
-    return tf.newTreeNode(label(), Arrays.asList(newKids));
-  }
-
-
-  /**
-   * Returns a set of one level <code>Tree</code>s that ares the local trees
-   * of the tree.
-   * That is, it builds a new tree that copies the mother and daughter
-   * nodes (but not their Labels), for each phrasal node,
-   * but zeroes out their children.
-   *
-   * @return A set of local tree
-   */
-  public Set<Tree> localTrees() {
-    Set<Tree> set = new HashSet<Tree>();
-    for (Tree st : this) {
-      if (st.isPhrasal()) {
-        set.add(st.localTree());
-      }
-    }
-    return set;
-  }
-
-
-  /** Returns a String reporting what kinds of Tree and Label nodes this
-   *  Tree contains.
-   *
-   *  @return A String reporting what kinds of Tree and Label nodes this
-   *      Tree contains.
-   */
-  public String toStructureDebugString() {
-    String leafLabels = null;
-    String tagLabels = null;
-    String phraseLabels = null;
-    String leaves = null;
-    String nodes = null;
-    for (Tree st : this) {
-      if (st.isPhrasal()) {
-        if (nodes == null) {
-          nodes = StringUtils.getShortClassName(st);
-        } else if ( ! nodes.equals(StringUtils.getShortClassName(st))) {
-          nodes = "mixed";
-        }
-        Label lab = st.label();
-        if (phraseLabels == null) {
-          if (lab == null) {
-            phraseLabels = "null";
-          } else {
-            phraseLabels = StringUtils.getShortClassName(lab);
-          }
-        } else if ( ! phraseLabels.equals(StringUtils.getShortClassName(lab))) {
-          phraseLabels = "mixed";
-        }
-      } else if (st.isPreTerminal()) {
-        if (nodes == null) {
-          nodes = StringUtils.getShortClassName(st);
-        } else if ( ! nodes.equals(StringUtils.getShortClassName(st))) {
-          nodes = "mixed";
-        }
-        Label lab = st.label();
-        if (tagLabels == null) {
-          if (lab == null) {
-            tagLabels = "null";
-          } else {
-            tagLabels = StringUtils.getShortClassName(lab);
-          }
-        } else if ( ! tagLabels.equals(StringUtils.getShortClassName(lab))) {
-          tagLabels = "mixed";
-        }
-      } else if (st.isLeaf()) {
-        if (leaves == null) {
-          leaves = StringUtils.getShortClassName(st);
-        } else if ( ! leaves.equals(StringUtils.getShortClassName(st))) {
-          leaves = "mixed";
-        }
-        Label lab = st.label();
-        if (leafLabels == null) {
-          if (lab == null) {
-            leafLabels = "null";
-          } else {
-            leafLabels = StringUtils.getShortClassName(lab);
-          }
-        } else if ( ! leafLabels.equals(StringUtils.getShortClassName(lab))) {
-          leafLabels = "mixed";
-        }
-      } else {
-        throw new IllegalStateException("Bad tree: " + this);
-      }
-    } // end for Tree st : this
-    return "Tree with " + nodes + " interior nodes and " + leaves +
-      " leaves, and " + phraseLabels + " phrase labels, " +
-      tagLabels + " tag labels, and " + leafLabels + " leaf labels.";
-  }
-
-
-  /**
-   * Most instances of <code>Tree</code> will take a lot more than
-   * than the default <code>StringBuffer</code> size of 16 to print
-   * as an indented list of the whole tree, so we enlarge the default.
-   */
-  private static final int initialPrintStringBuilderSize = 500;
-
-  /**
-   * Appends the printed form of a parse tree (as a bracketed String)
-   * to an <code>Appendable</code>, such as a <code>StringBuffer</code>.
-   * The implementation of this may be more efficient than for
-   * <code>toString()</code> on complex trees.
-   *
-   * @param sb The <code>StringBuilder</code> to which the tree will be appended
-   * @return Returns the <code>StringBuilder</code> passed in with extra stuff in it
-   */
-  public StringBuilder toStringBuilder(StringBuilder sb) {
-    return toStringBuilder(sb, true);
-  }
-
-  /**
-   * Appends the printed form of a parse tree (as a bracketed String)
-   * to an <code>Appendable</code>, such as a <code>StringBuffer</code>.
-   * The implementation of this may be more efficient than for
-   * <code>toString()</code> on complex trees.
-   *
-   * @param sb The <code>StringBuilder</code> to which the tree will be appended
-   * @param printOnlyLabelValue If true, print only the value() of each node's label
-   * @return Returns the <code>StringBuilder</code> passed in with extra stuff in it
-   */
-  public StringBuilder toStringBuilder(StringBuilder sb, boolean printOnlyLabelValue) {
-    if (isLeaf()) {
-      if (label() != null) {
-        if(printOnlyLabelValue) {
-          sb.append(label().value());
-        } else {
-          sb.append(label());
-        }
-      }
-      return sb;
-    } else {
-      sb.append('(');
-      if (label() != null) {
-        if (printOnlyLabelValue) {
-          if (value() != null) {
-            sb.append(label().value());
-          }
-          // don't print a null, just nothing!
-        } else {
-          sb.append(label());
-        }
-      }
-      Tree[] kids = children();
-      if (kids != null) {
-        for (Tree kid : kids) {
-          sb.append(' ');
-          kid.toStringBuilder(sb, printOnlyLabelValue);
-        }
-      }
-      return sb.append(')');
-    }
-  }
-
-
-  /**
-   * Converts parse tree to string in Penn Treebank format.
-   * <p>
-   * Implementation note: Internally, the method gains
-   * efficiency by chaining use of a single <code>StringBuilder</code>
-   * through all the printing.
-   *
-   * @return the tree as a bracketed list on one line
-   */
-  @Override
-  public String toString() {
-    return toStringBuilder(new StringBuilder(Tree.initialPrintStringBuilderSize)).toString();
-  }
-
-
-  private static final int indentIncr = 2;
-
-
-  private static String makeIndentString(int indent) {
-    StringBuilder sb = new StringBuilder(indent);
-    for (int i = 0; i < indentIncr; i++) {
-      sb.append(' ');
-    }
-    return sb.toString();
-  }
-
-
-  public void printLocalTree() {
-    printLocalTree(new PrintWriter(System.out, true));
-  }
-
-  public void printLocalTree(PrintWriter pw) {
-    pw.print("(" + label() + ' ');
-    for (Tree kid : children()) {
-      pw.print("(");
-      pw.print(kid.label());
-      pw.print(") ");
-    }
-    pw.println(")");
-  }
-
-
-  /**
-   * Indented list printing of a tree.  The tree is printed in an
-   * indented list notation, with nodel labels followed by node scores.
-   */
-  public void indentedListPrint() {
-    indentedListPrint(new PrintWriter(System.out, true), false);
-  }
-
-
-  /**
-   * Indented list printing of a tree.  The tree is printed in an
-   * indented list notation, with nodel labels followed by node scores.
-   *
-   * @param pw The PrintWriter to print the tree to
-   * @param printScores Whether to print the scores (log probs) of tree nodes
-   */
-  public void indentedListPrint(PrintWriter pw, boolean printScores) {
-    indentedListPrint("", makeIndentString(indentIncr), pw, printScores);
-  }
-
-
-  /**
-   * Indented list printing of a tree.  The tree is printed in an
-   * indented list notation, with nodel labels followed by node scores.
-   * String parameters are used rather than integer levels for efficiency.
-   *
-   * @param indent The base <code>String</code> (normally just spaces)
-   *               to print before each line of tree
-   * @param pad    The additional <code>String</code> (normally just more
-   *               spaces) to add when going to a deeper level of <code>Tree</code>.
-   * @param pw     The PrintWriter to print the tree to
-   * @param printScores Whether to print the scores (log probs) of tree nodes
-   */
-  private void indentedListPrint(String indent, String pad, PrintWriter pw, boolean printScores) {
-    StringBuilder sb = new StringBuilder(indent);
-    Label label = label();
-    if (label != null) {
-      sb.append(label.toString());
-    }
-    if (printScores) {
-      sb.append("  ");
-      sb.append(score());
-    }
-    pw.println(sb.toString());
-    Tree[] children = children();
-    String newIndent = indent + pad;
-    for (int i = 0, n = children.length; i < n; i++) {
-      children[i].indentedListPrint(newIndent, pad, pw, printScores);
-    }
-  }
-
-  /**
-   * Indented xml printing of a tree.  The tree is printed in an
-   * indented xml notation.
-   */
-  public void indentedXMLPrint() {
-    indentedXMLPrint(new PrintWriter(System.out, true), false);
-  }
-
-
-  /**
-   * Indented xml printing of a tree.  The tree is printed in an
-   * indented xml notation, with nodel labels followed by node scores.
-   *
-   * @param pw The PrintWriter to print the tree to
-   * @param printScores Whether to print the scores (log probs) of tree nodes
-   */
-  public void indentedXMLPrint(PrintWriter pw, boolean printScores) {
-    indentedXMLPrint("", makeIndentString(indentIncr), pw, printScores);
-  }
-
-
-  /**
-   * Indented xml printing of a tree.  The tree is printed in an
-   * indented xml notation, with nodel labels followed by node scores.
-   * String parameters are used rather than integer levels for efficiency.
-   *
-   * @param indent The base <code>String</code> (normally just spaces)
-   *               to print before each line of tree
-   * @param pad    The additional <code>String</code> (normally just more
-   *               spaces) to add when going to a deeper level of 
-   *               <code>Tree</code>.
-   * @param pw     The PrintWriter to print the tree to
-   * @param printScores Whether to print the scores (log probs) of tree nodes
-   */
-  private void indentedXMLPrint(String indent, String pad, 
-                                PrintWriter pw, boolean printScores) {
-    StringBuilder sb = new StringBuilder(indent);
-    Tree[] children = children();
-    Label label = label();
-    if (label != null) {
-      sb.append("<");
-      sb.append(XMLUtils.escapeXML(Sentence.wordToString(label, true)));
-      if (printScores) {
-        sb.append(" score=");
-        sb.append(score());
-      }
-      if (children.length > 0) {
-        sb.append(">");
-      } else {
-        sb.append("/>");
-      }
-    }
-    pw.println(sb.toString());
-    if (children.length > 0) {
-      String newIndent = indent + pad;
-      for (int i = 0, n = children.length; i < n; i++) {
-        children[i].indentedXMLPrint(newIndent, pad, pw, printScores);
-      }
-      if (label != null) {
-        sb = new StringBuilder(indent);
-        sb.append("</");
-        sb.append(XMLUtils.escapeXML(Sentence.wordToString(label, true)));
-        sb.append(">");
-        pw.println(sb.toString());
-      }
-    }
-  }
-
-
-  private static void displayChildren(Tree[] trChildren, int indent, boolean parentLabelNull, PrintWriter pw) {
-    boolean firstSibling = true;
-    boolean leftSibIsPreTerm = true;  // counts as true at beginning
-    for (Tree currentTree : trChildren) {
-      currentTree.display(indent, parentLabelNull, firstSibling, leftSibIsPreTerm, false, pw);
-      leftSibIsPreTerm = currentTree.isPreTerminal();
-      // CC is a special case for English, but leave it in so we can exactly match PTB3 tree formatting
-      if (currentTree.value() != null && currentTree.value().startsWith("CC")) {
-        leftSibIsPreTerm = false;
-      }
-      firstSibling = false;
-    }
-  }
-
-  /**
-   *  Returns the value of the nodes label as a String.  This is done by
-   *  calling <code>toString()</code> on the value, if it exists. Otherwise,
-   *  an empty string is returned.
-   *
-   *  @return The label of a tree node as a String
-   */
-  public String nodeString() {
-    return (value() == null) ? "" : value();
-  }
-
-  public static boolean DISPLAY_SCORES = true;
-
-  /**
-   * Display a node, implementing Penn Treebank style layout
-   */
-  private void display(int indent, boolean parentLabelNull, boolean firstSibling, boolean leftSiblingPreTerminal, boolean topLevel, PrintWriter pw) {
-    // the condition for staying on the same line in Penn Treebank
-    boolean suppressIndent = (parentLabelNull || (firstSibling && isPreTerminal()) || (leftSiblingPreTerminal && isPreTerminal() && (label() == null || !label().value().startsWith("CC"))));
-    if (suppressIndent) {
-      pw.print(" ");
-      // pw.flush();
-    } else {
-      if (!topLevel) {
-        pw.println();
-      }
-      for (int i = 0; i < indent; i++) {
-        pw.print("  ");
-        // pw.flush();
-      }
-    }
-    if (isLeaf() || isPreTerminal()) {
-      pw.print(toString());
-      pw.flush();
-      return;
-    }
-    pw.print("(");
-    pw.print(nodeString());
-    // pw.flush();
-    displayChildren(children(), indent + 1, label() == null || label().value() == null, pw);
-    pw.print(")");
-    pw.flush();
-  }
-
-
-  /**
-   * Print the tree as done in Penn Treebank merged files.
-   * The formatting should be exactly the same, but we don't print the
-   * trailing whitespace found in Penn Treebank trees.
-   * The basic deviation from a bracketed indented tree is to in general
-   * collapse the printing of adjacent preterminals onto one line of
-   * tags and words.  Additional complexities are that conjunctions
-   * (tag CC) are not collapsed in this way, and that the unlabeled
-   * outer brackets are collapsed onto the same line as the next
-   * bracket down.
-   *
-   * @param pw The tree is printed to this <code>PrintWriter</code>
-   */
-  public void pennPrint(PrintWriter pw) {
-    display(0, false, false, false, true, pw);
-    pw.println();
-    pw.flush();
-  }
-
-
-  /**
-   * Print the tree as done in Penn Treebank merged files.
-   * The formatting should be exactly the same, but we don't print the
-   * trailing whitespace found in Penn Treebank trees.
-   * The basic deviation from a bracketed indented tree is to in general
-   * collapse the printing of adjacent preterminals onto one line of
-   * tags and words.  Additional complexities are that conjunctions
-   * (tag CC) are not collapsed in this way, and that the unlabeled
-   * outer brackets are collapsed onto the same line as the next
-   * bracket down.
-   *
-   * @param ps The tree is printed to this <code>PrintStream</code>
-   */
-  public void pennPrint(PrintStream ps) {
-    pennPrint(new PrintWriter(new OutputStreamWriter(ps), true));
-  }
-
-  /**
-   * Calls <code>pennPrint()</code> and saves output to a String
-   *
-   * @return The indent S-expression representation of a Tree
-   */
-  public String pennString() {
-    StringWriter sw = new StringWriter();
-    pennPrint(new PrintWriter(sw));
-    return sw.toString();
-  }
-
-  /**
-   * Print the tree as done in Penn Treebank merged files.
-   * The formatting should be exactly the same, but we don't print the
-   * trailing whitespace found in Penn Treebank trees.
-   * The tree is printed to <code>System.out</code>. The basic deviation
-   * from a bracketed indented tree is to in general
-   * collapse the printing of adjacent preterminals onto one line of
-   * tags and words.  Additional complexities are that conjunctions
-   * (tag CC) are not collapsed in this way, and that the unlabeled
-   * outer brackets are collapsed onto the same line as the next
-   * bracket down.
-   */
-  public void pennPrint() {
-    pennPrint(System.out);
-  }
-
-
-  /**
-   * Finds the depth of the tree.  The depth is defined as the length
-   * of the longest path from this node to a leaf node.  Leaf nodes
-   * have depth zero.  POS tags have depth 1. Phrasal nodes have
-   * depth &gt;= 2.
-   *
-   * @return the depth
-   */
-  public int depth() {
-    if (isLeaf()) {
-      return 0;
-    }
-    int maxDepth = 0;
-    Tree[] kids = children();
-    for (Tree kid : kids) {
-      int curDepth = kid.depth();
-      if (curDepth > maxDepth) {
-        maxDepth = curDepth;
-      }
-    }
-    return maxDepth + 1;
-  }
-
-  /**
-   * Finds the distance from this node to the specified node.
-   * return -1 if this is not an ancestor of node.
-   *
-   * @param node A subtree contained in this tree
-   * @return the depth
-   */
-  public int depth(Tree node) {
-    Tree p = node.parent(this);
-    if (this == node) { return 0; }
-    if (p == null) { return -1; }
-    int depth = 1;
-    while (this != p) {
-      p = p.parent(this);
-      depth++;
-    }
-    return depth;
-  }
-
-
-  /**
-   * Returns the tree leaf that is the head of the tree.
-   *
-   * @param hf The head-finding algorithm to use
-   * @param parent  The parent of this tree
-   * @return The head tree leaf if any, else <code>null</code>
-   */
-  public Tree headTerminal(HeadFinder hf, Tree parent) {
-    if (isLeaf()) {
-      return this;
-    }
-    Tree head = hf.determineHead(this, parent);
-    if (head != null) {
-      return head.headTerminal(hf, parent);
-    }
-    System.err.println("Head is null: " + this);
-    return null;
-  }
-
-  /**
-   * Returns the tree leaf that is the head of the tree.
-   *
-   * @param hf The headfinding algorithm to use
-   * @return The head tree leaf if any, else <code>null</code>
-   */
-  public Tree headTerminal(HeadFinder hf) {
-    return headTerminal(hf, null);
-  }
-
-
-  /**
-   * Returns the preterminal tree that is the head of the tree.
-   * See {@link #isPreTerminal()} for
-   * the definition of a preterminal node. Beware that some tree nodes may
-   * have no preterminal head.
-   *
-   * @param hf The headfinding algorithm to use
-   * @return The head preterminal tree, if any, else <code>null</code>
-   * @throws IllegalArgumentException if called on a leaf node
-   */
-  public Tree headPreTerminal(HeadFinder hf) {
-    if (isPreTerminal()) {
-      return this;
-    } else if (isLeaf()) {
-      throw new IllegalArgumentException("Called headPreTerminal on a leaf: " + this);
-    } else {
-      Tree head = hf.determineHead(this);
-      if (head != null) {
-        return head.headPreTerminal(hf);
-      }
-      System.err.println("Head preterminal is null: " + this);
-      return null;
-    }
-  }
-
-
-  /**
-   * Finds the heads of the tree.  This code assumes that the label
-   * does store and return sensible values for the category, word, and tag.
-   * It will be a no-op otherwise.  The tree is modified.  The routine
-   * assumes the Tree has word leaves and tag preterminals, and copies
-   * their category to word and tag respectively, if they have a null
-   * value.
-   *
-   * @param hf The headfinding algorithm to use
-   */
-  public void percolateHeads(HeadFinder hf) {
-    Label cwt = label();
-    if (isLeaf()) {
-      if (cwt instanceof HasWord) {
-        HasWord w = (HasWord) cwt;
-        if (w.word() == null) {
-          w.setWord(cwt.value());
-        }
-      }
-    } else {
-      Tree[] kids = children();
-      for (int i = 0; i < kids.length; i++) {
-        kids[i].percolateHeads(hf);
-      }
-      Tree head = hf.determineHead(this);
-      if (head != null) {
-        Label headCwt = head.label();
-        String headTag = null;
-        if (headCwt instanceof HasTag) {
-          headTag = ((HasTag) headCwt).tag();
-        }
-        if (headTag == null && head.isLeaf()) {
-          // below us is a leaf
-          headTag = cwt.value();
-        }
-        String headWord = null;
-        if (headCwt instanceof HasWord) {
-          headWord = ((HasWord) headCwt).word();
-        }
-        if (headWord == null && head.isLeaf()) {
-          // below us is a leaf
-          // this might be useful despite case for leaf above in
-          // case the leaf label type doesn't support word()
-          headWord = headCwt.value();
-        }
-        if (cwt instanceof HasWord) {
-          ((HasWord) cwt).setWord(headWord);
-        }
-        if (cwt instanceof HasTag) {
-          ((HasTag) cwt).setTag(headTag);
-        }
-      } else {
-        System.err.println("Head is null: " + this);
-      }
-    }
-  }
-
-
-  /**
-   * Return a set of Word-Word dependencies, represented as
-   * Dependency objects, for the Tree.  This will only give
-   * useful results if the internal tree node labels support HasWord and
-   * head percolation has already been done (see percolateHeads()).
-   *
-   * @return Set of dependencies (each a Dependency)
-   */
-  public Set<Dependency<Label, Label, Object>> dependencies() {
-    return dependencies(Filters.<Dependency<Label, Label, Object>>acceptFilter());
-  }
-
-  /**
-   * Return a set of Word-Word dependencies, represented as Dependency
-   * objects, for the Tree.  This will only give
-   * useful results if the internal tree node labels support HasWord and
-   * head percolation has already been done (see percolateHeads()).
-   *
-   * @param f Dependencies are excluded for which the Dependency is not
-   *          accepted by the Filter
-   * @return Set of dependencies (each a Dependency)
-   */
-  public Set<Dependency<Label, Label, Object>> dependencies(Filter<Dependency<Label, Label, Object>> f) {
-    return dependencies(f, null);
-  }
-
-
-  /**
-   * Return a set of Word-Word dependencies, represented as
-   * Dependency objects for the Tree.
-   *
-   * @param hf The HeadFinder to use to identify the head of constituents
-   * @return Set of dependencies (each a <code>Dependency</code>)
-   */
-  public Set<Dependency<Label, Label, Object>> dependencies(HeadFinder hf) {
-    return dependencies(Filters.<Dependency<Label, Label, Object>>acceptFilter(), hf);
-  }
-
-
-  /**
-   * Return a set of Word-Word dependencies, represented as Dependency
-   * objects, for the Tree.
-   *
-   * @param f  Dependencies are excluded for which the Dependency is not
-   *           accepted by the Filter
-   * @param hf The HeadFinder to use to identify the head of constituents.
-   *           If this is <code>null</code>, then nodes are assumed to already
-   *           be marked with their heads.
-   * @return Set of dependencies (each a <code>Dependency</code>)
-   */
-  public Set<Dependency<Label, Label, Object>> dependencies(Filter<Dependency<Label, Label, Object>> f, HeadFinder hf) {
-    Set<Dependency<Label, Label, Object>> deps = new HashSet<Dependency<Label, Label, Object>>();
-    for (Tree node : subTrees()) {
-      if (node.isLeaf() || node.children().length < 2) {
-        continue;
-      }
-      // every child with a different head (or repeated) is an argument
-      Label l = node.label();
-      Word w = null;
-      if (hf != null) {
-        Tree hwt = node.headTerminal(hf);
-        if (hwt != null) {
-          w = new Word(hwt.label());
-        }
-      } else {
-        if (l instanceof HasWord) {
-          w = new Word(((HasWord) l).word());
-        }
-      }
-      Tree[] kids = node.children();
-      boolean seenHead = false;
-      for (int cNum = 0; cNum < kids.length; cNum++) {
-        Tree child = kids[cNum];
-        Label dl = child.label();
-        Word dw = null;
-        if (hf != null) {
-          Tree dwt = child.headTerminal(hf);
-          if (dwt != null) {
-            dw = new Word(dwt.label());
-          }
-        } else {
-          if (dl instanceof HasWord) {
-            dw = new Word(((HasWord) dl).word());
-          }
-        }
-        // System.out.println("XX Doing pair: " + l + ", " + dl +
-        //                 " gives " + w + ", " +dw);
-        if (w != null && w.word() != null && dw != null && w.word().equals(dw.word()) && !seenHead) {
-          seenHead = true;
-        } else {
-          Dependency<Label, Label, Object> p = new UnnamedDependency(w, dw);
-          if (f.accept(p)) {
-            deps.add(p);
-          }
-        }
-      }
-    }
-    return deps;
-  }
-
-
-  /**
-   * Return a Set of TaggedWord-TaggedWord dependencies, represented as
-   * Dependency objects, for the Tree.  This will only give
-   * useful results if the internal tree node labels support HasWord and
-   * HasTag, and head percolation has already been done (see
-   * percolateHeads()).
-   *
-   * @return Set of dependencies (each a Dependency)
-   */
-  public Set<Dependency<Label, Label, Object>> taggedDependencies() {
-    return taggedDependencies(Filters.<Dependency<Label, Label, Object>>acceptFilter());
-  }
-
-  /**
-   * Return a set of TaggedWord-TaggedWord dependencies, represented as
-   * Dependency objects, for the Tree.  This will only give
-   * useful results if the internal tree node labels support HasWord and
-   * head percolation has already been done (see percolateHeads()).
-   * <p><i>Implementation note:</i> It would be nice to generalize this with
-   * dependencies() to use a LabelFactory, but it seems impossible with the
-   * current setup.
-   *
-   * @param f Dependencies are excluded for which the Dependency is not
-   *          accepted by the Filter
-   * @return Set of dependencies (each a Dependency)
-   */
-  public Set<Dependency<Label, Label, Object>> taggedDependencies(Filter<Dependency<Label, Label, Object>> f) {
-    Set<Dependency<Label, Label, Object>> deps = new HashSet<Dependency<Label, Label, Object>>();
-    for (Tree node : this) {
-      if (node.isLeaf() || node.children().length < 2) {
-        continue;
-      }
-      // every child with a different head (or repeated) is an argument
-      Label l = node.label();
-      TaggedWord tw = null;
-      if (l instanceof HasWord && l instanceof HasTag) {
-        tw = new TaggedWord(((HasWord) l).word(), ((HasTag) l).tag());
-      }
-
-      boolean seenHead = false;
-      for (Tree child : node.children()) {
-        Label dl = child.label();
-        TaggedWord dtw = null;
-        if (dl instanceof HasWord && dl instanceof HasTag) {
-          dtw = new TaggedWord(((HasWord) dl).word(), ((HasTag) dl).tag());
-        }
-        if (tw != null && tw.word() != null && dtw != null && tw.word().equals(dtw.word()) && tw.tag().equals(dtw.tag()) && !seenHead) {
-          seenHead = true;
-        } else {
-          Dependency<Label, Label, Object> p = new UnnamedDependency(tw, dtw);
-          if (f.accept(p)) {
-            deps.add(p);
-          }
-        }
-      }
-    }
-    return deps;
-  }
-
-
-  /**
-   * Return a set of TaggedWord-TaggedWord dependencies, represented as
-   * Dependency objects for the Tree.
-   *
-   * @param hf The HeadFinder to use to identify the head of constituents
-   * @return Set of dependencies (each a <code>Dependency</code>)
-   */
-  public Set<Dependency<Label, Label, Object>> taggedDependencies(HeadFinder hf) {
-    return taggedDependencies(Filters.<Dependency<Label, Label, Object>>acceptFilter(), hf);
-  }
-
-  /**
-   * Return a set of TaggedWord-TaggedWord dependencies, represented as
-   * Dependency objects, for the Tree.
-   *
-   * @param f  Dependencies are excluded for which the Dependency is not
-   *           accepted by the Filter
-   * @param hf The HeadFinder to use to identify the head of constituents.
-   *           If this is <code>null</code>, then nodes are assumed to already
-   *           be marked with their heads.
-   * @return Set of dependencies (each a <code>Dependency</code>)
-   */
-  public Set<Dependency<Label, Label, Object>> taggedDependencies(Filter<Dependency<Label, Label, Object>> f, HeadFinder hf) {
-    Set<Dependency<Label, Label, Object>> deps = new HashSet<Dependency<Label, Label, Object>>();
-    for (Tree node : this) {
-      if (node.isLeaf() || node.children().length < 2) {
-        continue;
-      }
-      // every child with a different head (or repeated) is an argument
-      Label l = node.label();
-      TaggedWord w = null;
-      if (hf != null) {
-        Tree hwt = node.headPreTerminal(hf);
-        if (hwt != null) {
-          w = new TaggedWord(hwt.children()[0].label(), hwt.label());
-        }
-      } else {
-        if (l instanceof HasWord && l instanceof HasTag) {
-          w = new TaggedWord(((HasWord) l).word(), ((HasTag) l).tag());
-        }
-      }
-
-      boolean seenHead = false;
-      for (Tree child : node.children()) {
-        Label dl = child.label();
-        TaggedWord dw = null;
-        if (hf != null) {
-          Tree dwt = child.headPreTerminal(hf);
-          if (dwt != null) {
-            dw = new TaggedWord(dwt.children()[0].label(), dwt.label());
-          }
-        } else {
-          if (dl instanceof HasWord && dl instanceof HasTag) {
-            dw = new TaggedWord(((HasWord) dl).word(), ((HasTag) dl).tag());
-          }
-        }
-        // System.out.println("XX Doing pair: " + l + ", " + dl +
-        //                 " gives " + w + ", " +dw);
-        if (w != null && w.word() != null && w.tag() != null && dw != null && w.word().equals(dw.word()) && w.tag().equals(dw.tag()) && !seenHead) {
-          seenHead = true;
-        } else {
-          Dependency<Label, Label, Object> p = new UnnamedDependency(w, dw);
-          if (f.accept(p)) {
-            deps.add(p);
-          }
-        }
-      }
-    }
-    return deps;
-  }
-
-  /**
-   * Return a set of Label-Label dependencies, represented as
-   * Dependency objects, for the Tree.  The Labels are the ones of the leaf
-   * nodes of the tree, without mucking with them.
-   *
-   * @param f  Dependencies are excluded for which the Dependency is not
-   *           accepted by the Filter
-   * @param hf The HeadFinder to use to identify the head of constituents.
-   *           The code assumes
-   *           that it can use <code>headPreTerminal(hf)</code> to find a
-   *           tag and word to make a CyclicCoreLabel.
-   * @return Set of dependencies (each a <code>Dependency</code> between two
-   *           <code>CyclicCoreLabel</code>s, which each contain a tag(), word(),
-   *           and value(), the last two of which are identical).
-   */
-  public Set<Dependency<Label, Label, Object>> mapDependencies(Filter<Dependency<Label, Label, Object>> f, HeadFinder hf) {
-    if (hf == null) {
-      throw new IllegalArgumentException("mapDependencies: need headfinder");
-    }
-    Set<Dependency<Label, Label, Object>> deps = new HashSet<Dependency<Label, Label, Object>>();
-    for (Tree node : this) {
-      if (node.isLeaf() || node.children().length < 2) {
-        continue;
-      }
-      // Label l = node.label();
-      // System.err.println("doing kids of label: " + l);
-      //Tree hwt = node.headPreTerminal(hf);
-      Tree hwt = node.headTerminal(hf);
-      // System.err.println("have hf, found head preterm: " + hwt);
-      if (hwt == null) {
-        throw new IllegalStateException("mapDependencies: headFinder failed!");
-      }
-
-      for (Tree child : node.children()) {
-        // Label dl = child.label();
-        // Tree dwt = child.headPreTerminal(hf);
-        Tree dwt = child.headTerminal(hf);
-        if (dwt == null) {
-          throw new IllegalStateException("mapDependencies: headFinder failed!");
-        }
-        //System.err.println("kid is " + dl);
-         //System.err.println("transformed to " + dml.toString("value{map}"));
-        if (dwt != hwt) {
-          Dependency<Label, Label, Object> p = new UnnamedDependency(hwt.label(), dwt.label());
-          if (f.accept(p)) {
-            deps.add(p);
-          }
-        }
-      }
-    }
-    return deps;
-  }
-
-  /**
-   * Return a set of Label-Label dependencies, represented as
-   * Dependency objects, for the Tree.  The Labels are the ones of the leaf
-   * nodes of the tree, without mucking with them. The head of the sentence is a
-   * dependent of a synthetic "root" label.
-   *
-   * @param f  Dependencies are excluded for which the Dependency is not
-   *           accepted by the Filter
-   * @param hf The HeadFinder to use to identify the head of constituents.
-   *           The code assumes
-   *           that it can use <code>headPreTerminal(hf)</code> to find a
-   *           tag and word to make a CoreLabel.
-   * @param    rootName Name of the root node.
-   * @return   Set of dependencies (each a <code>Dependency</code> between two
-   *           <code>CoreLabel</code>s, which each contain a tag(), word(),
-   *           and value(), the last two of which are identical).
-   */
-  public Set<Dependency<Label, Label, Object>> mapDependencies(Filter<Dependency<Label, Label, Object>> f, HeadFinder hf, String rootName) {
-    Set<Dependency<Label, Label, Object>> deps = mapDependencies(f, hf);
-    if(rootName != null) {
-      Label hl = headTerminal(hf).label();
-      CoreLabel rl = new CoreLabel();
-      rl.set(TextAnnotation.class, rootName);
-      rl.set(IndexAnnotation.class, 0);
-      deps.add(new NamedDependency(rl, hl, rootName));
-    }
-    return deps;
-  }
-
-  /**
-   * Gets the yield of the tree.  The <code>Label</code> of all leaf nodes
-   * is returned
-   * as a list ordered by the natural left to right order of the
-   * leaves.  Null values, if any, are inserted into the list like any
-   * other value.
-   *
-   * @return a <code>List</code> of the data in the tree's leaves.
-   */
-  public ArrayList<Label> yield() {
-    return yield(new ArrayList<Label>());
-  }
-
-  /**
-   * Gets the yield of the tree.  The <code>Label</code> of all leaf nodes
-   * is returned
-   * as a list ordered by the natural left to right order of the
-   * leaves.  Null values, if any, are inserted into the list like any
-   * other value.
-   * <p><i>Implementation notes:</i> c. 2003: This has been rewritten to thread, so only one List
-   * is used. 2007: This method was duplicated to start to give type safety to Sentence.
-   * This method will now make a Word for any Leaf which does not itself implement HasWord, and
-   * put the Word into the Sentence, so the Sentence elements MUST implement HasWord.
-   *
-   * @param y The list in which the yield of the tree will be placed.
-   *          Normally, this will be empty when the routine is called, but
-   *          if not, the new yield is added to the end of the list.
-   * @return a <code>List</code> of the data in the tree's leaves.
-   */
-  public ArrayList<Label> yield(ArrayList<Label> y) {
-    if (isLeaf()) {
-      y.add(label());
-
-    } else {
-      Tree[] kids = children();
-      for (int i = 0; i < kids.length; i++) {
-        kids[i].yield(y);
-      }
-    }
-    return y;
-  }
-
-  public ArrayList<Word> yieldWords() {
-    return yieldWords(new ArrayList<Word>());
-  }
-
-  public ArrayList<Word> yieldWords(ArrayList<Word> y) {
-    if (isLeaf()) {
-      y.add(new Word(label()));
-    } else {
-      Tree[] kids = children();
-      for (int i = 0; i < kids.length; i++) {
-        kids[i].yield(y);
-      }
-    }
-    return y;
-  }
-
-  public <X extends HasWord> ArrayList<X> yieldHasWord() {
-    return yieldHasWord(new ArrayList<X>());
-  }
-
-  @SuppressWarnings("unchecked")
-  public <X extends HasWord> ArrayList<X> yieldHasWord(ArrayList<X> y) {
-    if (isLeaf()) {
-      Label lab = label();
-      // cdm: this is new hacked in stuff in Mar 2007 so we can now have a
-      // well-typed version of a Sentence, whose objects MUST implement HasWord
-      //
-      // wsg (Feb. 2010) - More hacks for trees with CoreLabels in which the type implements
-      // HasWord but only the value field is populated. This can happen if legacy code uses
-      // LabeledScoredTreeFactory but passes in a StringLabel to e.g. newLeaf().
-      if (lab instanceof HasWord) {
-        if(lab instanceof CoreLabel) {
-          CoreLabel cl = (CoreLabel) lab;
-          if(cl.word() == null)
-            cl.setWord(cl.value());
-          y.add((X) cl);
-        } else {
-          y.add((X) lab);
-        }
-
-      } else {
-        y.add((X) new Word(lab));
-      }
-
-    } else {
-      Tree[] kids = children();
-      for (int i = 0; i < kids.length; i++) {
-        kids[i].yield(y);
-      }
-    }
-    return y;
-  }
-
-
-  /**
-   * Gets the yield of the tree.  The <code>Label</code> of all leaf nodes
-   * is returned
-   * as a list ordered by the natural left to right order of the
-   * leaves.  Null values, if any, are inserted into the list like any
-   * other value.  This has been rewritten to thread, so only one List
-   * is used.
-   *
-   * @param y The list in which the yield of the tree will be placed.
-   *          Normally, this will be empty when the routine is called, but
-   *          if not, the new yield is added to the end of the list.
-   * @return a <code>List</code> of the data in the tree's leaves.
-   */
-  @SuppressWarnings("unchecked")
-  public <T> List<T> yield(List<T> y) {
-  	if (isLeaf()) {
-  		if(label() instanceof HasWord) {
-  			HasWord hw = (HasWord) label();
-  			hw.setWord(label().value());
-  		}
-  		y.add((T) label());
-
-    } else {
-      Tree[] kids = children();
-      for (int i = 0; i < kids.length; i++) {
-        kids[i].yield(y);
-      }
-    }
-    return y;
-  }
-
-  /**
-   * Gets the tagged yield of the tree.
-   * The <code>Label</code> of all leaf nodes is returned
-   * as a list ordered by the natural left to right order of the
-   * leaves.  Null values, if any, are inserted into the list like any
-   * other value.
-   *
-   * @return a <code>List</code> of the data in the tree's leaves.
-   */
-  public ArrayList<TaggedWord> taggedYield() {
-    return taggedYield(new ArrayList<TaggedWord>());
-  }
-
-  public List<LabeledWord> labeledYield() {
-    return labeledYield(new ArrayList<LabeledWord>());
-  }
-
-  /**
-   * Gets the tagged yield of the tree -- that is, get the preterminals
-   * as well as the terminals.  The <code>Label</code> of all leaf nodes
-   * is returned
-   * as a list ordered by the natural left to right order of the
-   * leaves.  Null values, if any, are inserted into the list like any
-   * other value.  This has been rewritten to thread, so only one List
-   * is used.
-   * <p/>
-   * <i>Implementation note:</i> when we summon up enough courage, this
-   * method will be changed to take and return a List<W extends TaggedWord>.
-   *
-   * @param ty The list in which the tagged yield of the tree will be
-   *           placed. Normally, this will be empty when the routine is called,
-   *           but if not, the new yield is added to the end of the list.
-   * @return a <code>List</code> of the data in the tree's leaves.
-   */
-  public <X extends List<TaggedWord>> X taggedYield(X ty) {
-    Tree[] kids = children();
-    // this inlines the content of isPreTerminal()
-    if (kids.length == 1 && kids[0].isLeaf()) {
-      ty.add(new TaggedWord(kids[0].label(), label()));
-    } else {
-      for (Tree kid : kids) {
-        kid.taggedYield(ty);
-      }
-    }
-    return ty;
-  }
-
-  public List<LabeledWord> labeledYield(List<LabeledWord> ty) {
-    Tree[] kids = children();
-    // this inlines the content of isPreTerminal()
-    if (kids.length == 1 && kids[0].isLeaf()) {
-      ty.add(new LabeledWord(kids[0].label(), label()));
-    } else {
-      for (Tree kid : kids) {
-        kid.labeledYield(ty);
-      }
-    }
-    return ty;
-  }
-
-  public List<CoreLabel> taggedLabeledYield() {
-  	List<CoreLabel> ty = new ArrayList<CoreLabel>();
-  	taggedLabeledYield(ty,0);
-  	return ty;
-  }
-
-  private int taggedLabeledYield(List<CoreLabel> ty, int termIdx) {
-  	if(isPreTerminal()) {
-  		CoreLabel taggedWord = new CoreLabel();
-  		final String tag = (value() == null) ? "" : value();
-  		taggedWord.setValue(tag);
-  		taggedWord.setTag(tag);
-  		taggedWord.setIndex(termIdx);
-  		taggedWord.setWord(firstChild().value());
-  		ty.add(taggedWord);
-
-  		return termIdx + 1;
-
-  	} else {
-  		for(Tree kid : getChildrenAsList())
-  			termIdx = kid.taggedLabeledYield(ty, termIdx);
-  	}
-
-		return termIdx;
-  }
-
-  /**
-   * Gets the preterminal yield (i.e., tags) of the tree.  All data in
-   * preleaf nodes is returned as a list ordered by the natural left to
-   * right order of the tree.  Null values, if any, are inserted into the
-   * list like any other value.  Pre-leaves are nodes of height 1.
-   *
-   * @return a <code>List</code> of the data in the tree's pre-leaves.
-   */
-  public List<Label> preTerminalYield() {
-    return preTerminalYield(new ArrayList<Label>());
-  }
-
-
-  /**
-   * Gets the preterminal yield (i.e., tags) of the tree.  All data in
-   * preleaf nodes is returned as a list ordered by the natural left to
-   * right order of the tree.  Null values, if any, are inserted into the
-   * list like any other value.  Pre-leaves are nodes of height 1.
-   *
-   * @param y The list in which the preterminals of the tree will be
-   *          placed. Normally, this will be empty when the routine is called,
-   *          but if not, the new yield is added to the end of the list.
-   * @return a <code>List</code> of the data in the tree's pre-leaves.
-   */
-  public List<Label> preTerminalYield(List<Label> y) {
-    if (isPreTerminal()) {
-      y.add(label());
-    } else {
-      Tree[] kids = children();
-      for (int i = 0; i < kids.length; i++) {
-        kids[i].preTerminalYield(y);
-      }
-    }
-    return y;
-  }
-
-  /**
-   * Gets the leaves of the tree.  All leaves nodes are returned as a list
-   * ordered by the natural left to right order of the tree.  Null values,
-   * if any, are inserted into the list like any other value.
-   *
-   * @return a <code>List</code> of the leaves.
-   */
-  public List<Tree> getLeaves() {
-    return getLeaves(new ArrayList<Tree>());
-  }
-
-  /**
-   * Gets the leaves of the tree.
-   *
-   * @param list The list in which the leaves of the tree will be
-   *             placed. Normally, this will be empty when the routine is called,
-   *             but if not, the new yield is added to the end of the list.
-   * @return a <code>List</code> of the leaves.
-   */
-  public List<Tree> getLeaves(List<Tree> list) {
-    if (isLeaf()) {
-      list.add(this);
-    } else {
-      for (Tree kid : children()) {
-        kid.getLeaves(list);
-      }
-    }
-    return list;
-  }
-
-
-  /**
-   * Get the set of all node and leaf <code>Label</code>s,
-   * null or otherwise, contained in the tree.
-   *
-   * @return the <code>Collection</code> (actually, Set) of all values
-   *         in the tree.
-   */
-  public Collection<Label> labels() {
-    Set<Label> n = new HashSet<Label>();
-    n.add(label());
-    Tree[] kids = children();
-    for (int i = 0; i < kids.length; i++) {
-      n.addAll(kids[i].labels());
-    }
-    return n;
-  }
-
-
-  public void setLabels(Collection<Label> c) {
-    throw new UnsupportedOperationException("Can't set Tree labels");
-  }
-
-
-  /**
-   * Return a flattened version of a tree.  In many circumstances, this
-   * will just return the tree, but if the tree is something like a
-   * binarized version of a dependency grammar tree, then it will be
-   * flattened back to a dependency grammar tree representation.  Formally,
-   * a node will be removed from the tree when: it is not a terminal or
-   * preterminal, and its <code>label()</code is <code>equal()</code> to
-   * the <code>label()</code> of its parent, and all its children will
-   * then be promoted to become children of the parent (in the same
-   * position in the sequence of daughters.
-   *
-   * @return A flattened version of this tree.
-   */
-  public Tree flatten() {
-    return flatten(treeFactory());
-  }
-
-  /**
-   * Return a flattened version of a tree.  In many circumstances, this
-   * will just return the tree, but if the tree is something like a
-   * binarized version of a dependency grammar tree, then it will be
-   * flattened back to a dependency grammar tree representation.  Formally,
-   * a node will be removed from the tree when: it is not a terminal or
-   * preterminal, and its <code>label()</code is <code>equal()</code> to
-   * the <code>label()</code> of its parent, and all its children will
-   * then be promoted to become children of the parent (in the same
-   * position in the sequence of daughters. <p>
-   * Note: In the current implementation, the tree structure is mainly
-   * duplicated, but the links between preterminals and terminals aren't.
-   *
-   * @param tf TreeFactory used to create tree structure for flattened tree
-   * @return A flattened version of this tree.
-   */
-  public Tree flatten(TreeFactory tf) {
-    if (isLeaf() || isPreTerminal()) {
-      return this;
-    }
-    Tree[] kids = children();
-    List<Tree> newChildren = new ArrayList<Tree>(kids.length);
-    for (int c = 0; c < kids.length; c++) {
-      Tree child = kids[c];
-      if (child.isLeaf() || child.isPreTerminal()) {
-        newChildren.add(child);
-      } else {
-        Tree newChild = child.flatten(tf);
-        if (label().equals(newChild.label())) {
-          newChildren.addAll(newChild.getChildrenAsList());
-        } else {
-          newChildren.add(newChild);
-        }
-      }
-    }
-    return tf.newTreeNode(label(), newChildren);
-  }
-
-
-  /**
-   * Get the set of all subtrees inside the tree by returning a tree
-   * rooted at each node.  These are <i>not</i> copies, but all share
-   * structure.  The tree is regarded as a subtree of itself.
-   * <p/>
-   * <i>Note:</i> If you only want to form this Set so that you can
-   * iterate over it, it is more efficient to simply use the Tree class's
-   * own <code>iterator() method. This will iterate over the exact same
-   * elements (but perhaps/probably in a different order).
-   *
-   * @return the <code>Set</code> of all subtrees in the tree.
-   */
-  public Set<Tree> subTrees() {
-    return subTrees(new HashSet<Tree>());
-  }
-
-  /**
-   * Get the list of all subtrees inside the tree by returning a tree
-   * rooted at each node.  These are <i>not</i> copies, but all share
-   * structure.  The tree is regarded as a subtree of itself.
-   * <p/>
-   * <i>Note:</i> If you only want to form this Collection so that you can
-   * iterate over it, it is more efficient to simply use the Tree class's
-   * own <code>iterator() method. This will iterate over the exact same
-   * elements (but perhaps/probably in a different order).
-   *
-   * @return the <code>List</code> of all subtrees in the tree.
-   */
-  public List<Tree> subTreeList() {
-    return subTrees(new ArrayList<Tree>());
-  }
-
-
-  /**
-   * Add the set of all subtrees inside a tree (including the tree itself)
-   * to the given <code>Collection</code>.
-   * <p/>
-   * <i>Note:</i> If you only want to form this Collection so that you can
-   * iterate over it, it is more efficient to simply use the Tree class's
-   * own <code>iterator() method. This will iterate over the exact same
-   * elements (but perhaps/probably in a different order).
-   *
-   * @param n A collection of nodes to which the subtrees will be added.
-   * @return The collection parameter with the subtrees added.
-   */
-  public <T extends Collection<Tree>> T subTrees(T n) {
-    n.add(this);
-    Tree[] kids = children();
-    for (int i = 0; i < kids.length; i++) {
-      kids[i].subTrees(n);
-    }
-    return n;
-  }
-
-  /**
-   * Makes a deep copy of not only the Tree structure but of the labels as well.
-   * Uses the TreeFactory of the root node given by treeFactory().
-   * Assumes that your labels give a non-null labelFactory().
-   * (Added by Aria Haghighi.)
-   *
-   * @return A deep copy of the tree structure and its labels
-   */
-  public Tree deepCopy() {
-    return deepCopy(treeFactory());
-  }
-
-
-  /**
-   * Makes a deep copy of not only the Tree structure but of the labels as well.
-   * The new tree will have nodes made by the given TreeFactory.
-   * Each Label is copied using the labelFactory() returned
-   * by the corresponding node's label.
-   * It assumes that your labels give non-null labelFactory.
-   * (Added by Aria Haghighi.)
-   *
-   * @param tf The TreeFactory used to make all nodes in the copied
-   *           tree structure
-   * @return A Tree that is a deep copy of the tree structure and
-   *         Labels of the original tree.
-   */
-  public Tree deepCopy(TreeFactory tf) {
-    return deepCopy(tf, label().labelFactory());
-  }
-
-
-  /**
-   * Makes a deep copy of not only the Tree structure but of the labels as well.
-   * Each tree is copied with the given TreeFactory.
-   * Each Label is copied using the given LabelFactory.
-   * That is, the tree and label factories can transform the nature of the
-   * data representation.
-   *
-   * @param tf The TreeFactory used to make all nodes in the copied
-   *           tree structure
-   * @param lf The LabelFactory used to make all nodes in the copied
-   *           tree structure
-   * @return A Tree that is a deep copy of the tree structure and
-   *         Labels of the original tree.
-   */
-
-  @SuppressWarnings({"unchecked"})
-  public Tree deepCopy(TreeFactory tf, LabelFactory lf) {
-    Label label = lf.newLabel(label());
-    if (isLeaf()) {
-      return tf.newLeaf(label);
-    }
-    Tree[] kids = children();
-    // NB: The below list may not be of type Tree but TreeGraphNode, so we leave it untyped
-    List newKids = new ArrayList(kids.length);
-    for (Tree kid : kids) {
-      newKids.add(kid.deepCopy(tf, lf));
-    }
-    return tf.newTreeNode(label, newKids);
-  }
-
-
-  /**
-   * Create a deep copy of the tree structure.  The entire structure is
-   * recursively copied, but label data themselves are not cloned.
-   * The copy is built using a <code>TreeFactory</code> that will
-   * produce a <code>Tree</code> like the input one.
-   *
-   * @return A deep copy of the tree structure (but not its labels).
-   */
-  public Tree treeSkeletonCopy() {
-    return treeSkeletonCopy(treeFactory());
-  }
-
-
-  /**
-   * Create a deep copy of the tree structure.  The entire structure is
-   * recursively copied, but label data themselves are not cloned.
-   * By specifying an appropriate <code>TreeFactory</code>, this
-   * method can be used to change the type of a <code>Tree</code>.
-   *
-   * @param tf The <code>TreeFactory</code> to be used for creating
-   *           the returned <code>Tree</code>
-   * @return A deep copy of the tree structure (but not its labels).
-   */
-  public Tree treeSkeletonCopy(TreeFactory tf) {
-    Tree t;
-    if (isLeaf()) {
-      t = tf.newLeaf(label());
-    } else {
-      Tree[] kids = children();
-      List<Tree> newKids = new ArrayList<Tree>(kids.length);
-      for (int i = 0, n = kids.length; i < n; i++) {
-        newKids.add(kids[i].treeSkeletonCopy(tf));
-      }
-      t = tf.newTreeNode(label(), newKids);
-    }
-    return t;
-  }
-
-
-  /**
-   * Create a transformed Tree.  The tree is traversed in a depth-first,
-   * left-to-right order, and the <code>TreeTransformer</code> is called
-   * on each node.  It returns some <code>Tree</code>.  The transformed
-   * tree has a new tree structure (i.e., a "deep copy" is done), but it
-   * will usually share its labels with the original tree.
-   *
-   * @param transformer The function that transforms tree nodes or subtrees
-   * @return a transformation of this <code>Tree</code>
-   */
-  public Tree transform(final TreeTransformer transformer) {
-    return transform(transformer, treeFactory());
-  }
-
-
-  /**
-   * Create a transformed Tree.  The tree is traversed in a depth-first,
-   * left-to-right order, and the <code>TreeTransformer</code> is called
-   * on each node.  It returns some <code>Tree</code>.  The transformed
-   * tree has a new tree structure (i.e., a deep copy of the structure of the tree is done), but it
-   * will usually share its labels with the original tree.
-   *
-   * @param transformer The function that transforms tree nodes or subtrees
-   * @param tf          The <code>TreeFactory</code> which will be used for creating
-   *                    new nodes for the returned <code>Tree</code>
-   * @return a transformation of this <code>Tree</code>
-   */
-  public Tree transform(final TreeTransformer transformer, final TreeFactory tf) {
-    Tree t;
-    if (isLeaf()) {
-      t = tf.newLeaf(label());
-    } else {
-      Tree[] kids = children();
-      List<Tree> newKids = new ArrayList<Tree>(kids.length);
-      for (Tree kid : kids) {
-        newKids.add(kid.transform(transformer, tf));
-      }
-      t = tf.newTreeNode(label(), newKids);
-    }
-    return transformer.transformTree(t);
-  }
-
-
-  /**
-   * Creates a (partial) deep copy of the tree, where all nodes that the
-   * filter does not accept are spliced out.  If the result is not a tree
-   * (that is, it's a forest), an empty root node is generated.
-   *
-   * @param nodeFilter a Filter method which returns true to mean
-   *                   keep this node, false to mean delete it
-   * @return a filtered copy of the tree
-   */
-  public Tree spliceOut(final Filter<Tree> nodeFilter) {
-    return spliceOut(nodeFilter, treeFactory());
-  }
-
-
-  /**
-   * Creates a (partial) deep copy of the tree, where all nodes that the
-   * filter does not accept are spliced out.  That is, the particular
-   * modes for which the <code>Filter</code> returns <code>false</code>
-   * are removed from the <code>Tree</code>, but those nodes' children
-   * are kept (assuming they pass the <code>Filter</code>, and they are
-   * added in the appropriate left-to-right ordering as new children of
-   * the parent node.  If the root node is deleted, so that the result
-   * would not be a tree (that is, it's a forest), an empty root node is
-   * generated.  If nothing is accepted, <code>null</code> is returned.
-   *
-   * @param nodeFilter a Filter method which returns true to mean
-   *                   keep this node, false to mean delete it
-   * @param tf         A <code>TreeFactory</code> for making new trees. Used if
-   *                   the root node is deleted.
-   * @return a filtered copy of the tree.
-   */
-  public Tree spliceOut(final Filter<Tree> nodeFilter, final TreeFactory tf) {
-    List<Tree> l = spliceOutHelper(nodeFilter, tf);
-    if (l.isEmpty()) {
-      return null;
-    } else if (l.size() == 1) {
-      return l.get(0);
-    }
-    // for a forest, make a new root
-    return tf.newTreeNode((Label) null, l);
-  }
-
-
-  private List<Tree> spliceOutHelper(Filter<Tree> nodeFilter, TreeFactory tf) {
-    // recurse over all children first
-    Tree[] kids = children();
-    List<Tree> l = new ArrayList<Tree>();
-    for (int i = 0; i < kids.length; i++) {
-      l.addAll(kids[i].spliceOutHelper(nodeFilter, tf));
-    }
-    // check if this node is being spliced out
-    if (nodeFilter.accept(this)) {
-      // no, so add our children and return
-      Tree t;
-      if ( ! l.isEmpty()) {
-        t = tf.newTreeNode(label(), l);
-      } else {
-        t = tf.newLeaf(label());
-      }
-      l = new ArrayList<Tree>(1);
-      l.add(t);
-      return l;
-    }
-    // we're out, so return our children
-    return l;
-  }
-
-
-  /**
-   * Creates a deep copy of the tree, where all nodes that the filter
-   * does not accept and all children of such nodes are pruned.  If all '
-   * of a node's children are pruned, that node is cut as well.
-   * A <code>Filter</code> can assume
-   * that it will not be called with a <code>null</code> argument.
-   * <p/>
-   * For example, the following code excises all PP nodes from a Tree:
-   * <tt>
-   * Filter<Tree> f = new Filter<Tree> {
-   * public boolean accept(Tree t) {
-   * return ! t.label().value().equals("PP");
-   * }
-   * }
-   * tree.prune(f);
-   * </tt>
-   *
-   * @param filter the filter to be apply
-   * @return a filtered copy of the tree.
-   */
-  public Tree prune(final Filter<Tree> filter) {
-    return prune(filter, treeFactory());
-  }
-
-
-  /**
-   * Creates a deep copy of the tree, where all nodes that the filter
-   * does not accept and all children of such nodes are pruned.  If all
-   * of a node's children are pruned, that node is cut as well.
-   * A <code>Filter</code> can assume
-   * that it will not be called with a <code>null</code> argument.
-   *
-   * @param filter the filter to be apply
-   * @param tf     the TreeFactory to be used to make new Tree nodes if needed
-   * @return a filtered copy of the tree, including the possibility of
-   *         <code>null</code> if the root node of the tree is filtered
-   */
-  public Tree prune(Filter<Tree> filter, TreeFactory tf) {
-    // is the current node to be pruned?
-    if ( ! filter.accept(this)) {
-      return null;
-    }
-    // if not, recurse over all children
-    List<Tree> l = new ArrayList<Tree>();
-    Tree[] kids = children();
-    for (int i = 0; i < kids.length; i++) {
-      Tree prunedChild = kids[i].prune(filter, tf);
-      if (prunedChild != null) {
-        l.add(prunedChild);
-      }
-    }
-    // and check if this node has lost all its children
-    if (l.isEmpty() && !(kids.length == 0)) {
-      return null;
-    }
-    // if we're still ok, copy the node
-    if (isLeaf()) {
-      return tf.newLeaf(label());
-    }
-    return tf.newTreeNode(label(), l);
-  }
-
-  /**
-   * Returns first child if it is single and if the label at the current
-   * node is either "ROOT" or empty.
-   *
-   */
-  public Tree skipRoot() {
-    if(!isUnaryRewrite())
-      return this;
-    String lab = label().value();
-    return (lab == null || "ROOT".equals(lab) || "".equals(lab)) ? firstChild() : this;
-  }
-
-  /**
-   * Return a <code>TreeFactory</code> that produces trees of the
-   * appropriate type.
-   *
-   * @return A factory to produce Trees
-   */
-  public abstract TreeFactory treeFactory();
-
-
-  /**
-   * Return the parent of the tree node.  This routine may return
-   * <code>null</code> meaning simply that the implementation doesn't
-   * know how to determine the parent node, rather than there is no
-   * such node.
-   *
-   * @return The parent <code>Tree</code> node or <code>null</code>
-   * @see Tree#parent(Tree)
-   */
-  public Tree parent() {
-    return null;
-  }
-
-
-  /**
-   * Return the parent of the tree node.  This routine will traverse
-   * a tree (depth first) from the given <code>root</code>, and will
-   * correctly find the parent, regardless of whether the concrete
-   * class stores parents.  It will only return <code>null</code> if this
-   * node is the <code>root</code> node, or if this node is not
-   * contained within the tree rooted at <code>root</code>.
-   *
-   * @param root The root node of the whole Tree
-   * @return the parent <code>Tree</code> node if any;
-   *         else <code>null</code>
-   */
-  public Tree parent(Tree root) {
-    Tree[] kids = root.children();
-    return parentHelper(root, kids, this);
-  }
-
-
-  private static Tree parentHelper(Tree parent, Tree[] kids, Tree node) {
-    for (int i = 0, n = kids.length; i < n; i++) {
-      if (kids[i] == node) {
-        return parent;
-      }
-      Tree ret = node.parent(kids[i]);
-      if (ret != null) {
-        return ret;
-      }
-    }
-    return null;
-  }
-
-
-  /**
-   * Returns the number of nodes the tree contains.  This method
-   * implements the <code>size()</code> function required by the
-   * <code>Collections</code> interface.  The size of the tree is the
-   * number of nodes it contains (of all types, including the leaf nodes
-   * and the root).
-   *
-   * @return The size of the tree
-   * @see #depth()
-   */
-  @Override
-  public int size() {
-    int size = 1;
-    Tree[] kids = children();
-    for (int i = 0, n = kids.length; i < n; i++) {
-      size += kids[i].size();
-    }
-    return size;
-  }
-
-  /**
-   * Return the ancestor tree node <code>height</code> nodes up from the current node.
-   *
-   * @param height How many nodes up to go. A parameter of 0 means return
-   *               this node, 1 means to return the parent node and so on.
-   * @param root The root node that this Tree is embedded under
-   * @return The ancestor at height <code>height</code>.  It returns null
-   *         if it does not exist or the tree implementation does not keep track
-   *         of parents
-   */
-  public Tree ancestor(int height, Tree root) {
-    if (height < 0) {
-      throw new IllegalArgumentException("ancestor: height cannot be negative");
-    }
-    if (height == 0) {
-      return this;
-    }
-    Tree par = parent(root);
-    if (par == null) {
-      return null;
-    }
-    return par.ancestor(height - 1, root);
-  }
-
-
-  private static class TreeIterator implements Iterator<Tree> {
-
-    private List<Tree> treeStack;
-
-    protected TreeIterator(Tree t) {
-      treeStack = new ArrayList<Tree>();
-      treeStack.add(t);
-    }
-
-    public boolean hasNext() {
-      return (!treeStack.isEmpty());
-    }
-
-    public Tree next() {
-      int lastIndex = treeStack.size() - 1;
-      if (lastIndex < 0) {
-        throw new NoSuchElementException("TreeIterator exhausted");
-      }
-      Tree tr = treeStack.remove(lastIndex);
-      Tree[] kids = tr.children();
-      // so that we can efficiently use one List, we reverse them
-      for (int i = kids.length - 1; i >= 0; i--) {
-        treeStack.add(kids[i]);
-      }
-      return tr;
-    }
-
-    /**
-     * Not supported
-     */
-    public void remove() {
-      throw new UnsupportedOperationException();
-    }
-
-    @Override
-    public String toString() {
-      return "TreeIterator";
-    }
-
-  }
-
-
-  /**
-   * Returns an iterator over all the nodes of the tree.  This method
-   * implements the <code>iterator()</code> method required by the
-   * <code>Collections</code> interface.  It does a preorder
-   * (children after node) traversal of the tree.  (A possible
-   * extension to the class at some point would be to allow different
-   * traversal orderings via variant iterators.)
-   *
-   * @return An iterator over the nodes of the tree
-   */
-  @Override
-  public Iterator<Tree> iterator() {
-    return new TreeIterator(this);
-  }
-
-  public List<Tree> postOrderNodeList() {
-    List<Tree> nodes = new ArrayList<Tree>();
-    postOrderRecurse(this, nodes);
-    return nodes;
-  }
-  private static void postOrderRecurse(Tree t, List<Tree> nodes) {
-    for (Tree c : t.children()) {
-      postOrderRecurse(c, nodes);
-    }
-    nodes.add(t);
-  }
-
-  public List<Tree> preOrderNodeList() {
-    List<Tree> nodes = new ArrayList<Tree>();
-    preOrderRecurse(this, nodes);
-    return nodes;
-  }
-  private static void preOrderRecurse(Tree t, List<Tree> nodes) {
-    nodes.add(t);
-    for (Tree c : t.children()) {
-      preOrderRecurse(c, nodes);
-    }
-  }
-
-  /**
-   * This gives you a tree from a String representation (as a
-   * bracketed Tree, of the kind produced by <code>toString()</code>,
-   * <code>pennPrint()</code>, or as in the Penn Treebank).
-   * It's not the most efficient thing to do for heavy duty usage.
-   * The Tree returned is created by a
-   * LabeledScoredTreeReaderFactory.
-   *
-   * @param str The tree as a bracketed list in a String.
-   * @return The Tree
-   * @throws RuntimeException If Tree format is not valid
-   */
-  public static Tree valueOf(String str) {
-      return valueOf(str, new LabeledScoredTreeReaderFactory());
-  }
-
-  /**
-   * This gives you a tree from a String representation (as a
-   * bracketed Tree, of the kind produced by <code>toString()</code>,
-   * <code>pennPrint()</code>, or as in the Penn Treebank.
-   * It's not the most efficient thing to do for heavy duty usage.
-   *
-   * @param str The tree as a bracketed list in a String.
-   * @param trf The TreeFactory used to make the new Tree
-   * @return The Tree
-   * @throws RuntimeException If the Tree format is not valid
-   */
-  public static Tree valueOf(String str, TreeReaderFactory trf) {
-    try {
-      return trf.newTreeReader(new StringReader(str)).readTree();
-    } catch (IOException ioe) {
-      throw new RuntimeException("Tree.valueOf() tree construction failed", ioe);
-    }
-  }
-
-
-  /**
-   * Return the child at some daughter index.  The children are numbered
-   * starting with an index of 0.
-   *
-   * @param i The daughter index
-   * @return The tree at that daughter index
-   */
-  public Tree getChild(int i) {
-    Tree[] kids = children();
-    return kids[i];
-  }
-
-  /**
-   * Destructively removes the child at some daughter index and returns it.
-   * Note
-   * that this method will throw an {@link ArrayIndexOutOfBoundsException} if
-   * the daughter index is too big for the list of daughters.
-   *
-   * @param i The daughter index
-   * @return The tree at that daughter index
-   */
-  public Tree removeChild(int i) {
-    Tree[] kids = children();
-    Tree kid = kids[i];
-    Tree[] newKids = new Tree[kids.length - 1];
-    for (int j = 0; j < newKids.length; j++) {
-      if (j < i) {
-        newKids[j] = kids[j];
-      } else {
-        newKids[j] = kids[j + 1];
-      }
-    }
-    setChildren(newKids);
-    return kid;
-  }
-
-  /**
-   * Adds the tree t at the index position among the daughters.  Note
-   * that this method will throw an {@link ArrayIndexOutOfBoundsException} if
-   * the daughter index is too big for the list of daughters.
-   *
-   * @param i the index position at which to add the new daughter
-   * @param t the new daughter
-   */
-  public void addChild(int i, Tree t) {
-    Tree[] kids = children();
-    Tree[] newKids = new Tree[kids.length + 1];
-    if (i != 0) {
-      System.arraycopy(kids, 0, newKids, 0, i);
-    }
-    newKids[i] = t;
-    if (i != kids.length) {
-      System.arraycopy(kids, i, newKids, i + 1, kids.length - i);
-    }
-    setChildren(newKids);
-  }
-
-  /**
-   * Adds the tree t at the last index position among the daughters.
-   *
-   * @param t the new daughter
-   */
-  public void addChild(Tree t) {
-    addChild(children().length, t);
-  }
-
-  /**
-   * Replaces the <code>i</code>th child of <code>this</code> with the tree t.
-   * Note
-   * that this method will throw an {@link ArrayIndexOutOfBoundsException} if
-   * the child index is too big for the list of children.
-   *
-   * @param i The index position at which to replace the child
-   * @param t The new child
-   * @return The tree that was previously the ith d
-   */
-  public Tree setChild(int i, Tree t) {
-    Tree[] kids = children();
-    Tree old = kids[i];
-    kids[i] = t;
-    return old;
-  }
-
-  /**
-   * Returns true if <code>this</code> dominates the Tree passed in
-   * as an argument.  Object equality (==) rather than .equals() is used
-   * to determine domination.
-   * t.dominates(t) returns false.
-   */
-  public boolean dominates(Tree t) {
-    return !(dominationPath(t) == null);
-  }
-
-  /**
-   * Returns the path of nodes leading down to a dominated node,
-   * including <code>this</code> and the dominated node itself.
-   * Returns null if t is not dominated by <code>this</code>.  Object
-   * equality (==) is the relevant criterion.
-   * t.dominationPath(t) returns null.
-   */
-  public List<Tree> dominationPath(Tree t) {
-    //Tree[] result = dominationPathHelper(t, 0);
-    Tree[] result = dominationPath(t, 0);
-    if (result == null) {
-      return null;
-    }
-    return Arrays.asList(result);
-  }
-
-  private Tree[] dominationPathHelper(Tree t, int depth) {
-    Tree[] kids = children();
-    for (int i = kids.length - 1; i >= 0; i--) {
-      Tree t1 = kids[i];
-      if (t1 == null) {
-        return null;
-      }
-      Tree[] result;
-      if ((result = t1.dominationPath(t, depth + 1)) != null) {
-        result[depth] = this;
-        return result;
-      }
-    }
-    return null;
-  }
-
-  private Tree[] dominationPath(Tree t, int depth) {
-    if (this == t) {
-      Tree[] result = new Tree[depth + 1];
-      result[depth] = this;
-      return result;
-    }
-    return dominationPathHelper(t, depth);
-  }
-
-  /**
-   * Given nodes <code>t1</code> and <code>t2</code> which are
-   * dominated by this node, returns a list of all the nodes on the
-   * path from t1 to t2, inclusive, or null if none found.
-   */
-  public List<Tree> pathNodeToNode(Tree t1, Tree t2) {
-    if (!contains(t1) || !contains(t2)) {
-      return null;
-    }
-    if (t1 == t2) {
-      return Collections.singletonList(t1);
-    }
-    if (t1.dominates(t2)) {
-      return t1.dominationPath(t2);
-    }
-    if (t2.dominates(t1)) {
-      List<Tree> path = t2.dominationPath(t1);
-      Collections.reverse(path);
-      return path;
-    }
-    Tree joinNode = joinNode(t1, t2);
-    if (joinNode == null) {
-      return null;
-    }
-    List<Tree> t1DomPath = joinNode.dominationPath(t1);
-    List<Tree> t2DomPath = joinNode.dominationPath(t2);
-    if (t1DomPath == null || t2DomPath == null) {
-      return null;
-    }
-    ArrayList<Tree> path = new ArrayList<Tree>();
-    path.addAll(t1DomPath);
-    Collections.reverse(path);
-    path.remove(joinNode);
-    path.addAll(t2DomPath);
-    return path;
-  }
-
-  /**
-   * Given nodes <code>t1</code> and <code>t2</code> which are
-   * dominated by this node, returns their "join node": the node
-   * <code>j</code> such that <code>j</code> dominates both
-   * <code>t1</code> and <code>t2</code>, and every other node which
-   * dominates both <code>t1</code> and <code>t2</code>
-   * dominates <code>j</code>.
-   * In the special case that t1 dominates t2, return t1, and vice versa.
-   * Return <code>null</code> if no such node can be found.
-   */
-  public Tree joinNode(Tree t1, Tree t2) {
-    if (!contains(t1) || !contains(t2)) {
-      return null;
-    }
-    if (this == t1 || this == t2) {
-      return this;
-    }
-    Tree joinNode = null;
-    List<Tree> t1DomPath = dominationPath(t1);
-    List<Tree> t2DomPath = dominationPath(t2);
-    if (t1DomPath == null || t2DomPath == null) {
-      return null;
-    }
-    Iterator<Tree> it1 = t1DomPath.iterator();
-    Iterator<Tree> it2 = t2DomPath.iterator();
-    while (it1.hasNext() && it2.hasNext()) {
-      Tree n1 = it1.next();
-      Tree n2 = it2.next();
-      if (n1 != n2) {
-        break;
-      }
-      joinNode = n1;
-    }
-    return joinNode;
-  }
-
-  /**
-   * Given nodes <code>t1</code> and <code>t2</code> which are
-   * dominated by this node, returns <code>true</code> iff
-   * <code>t1</code> c-commands <code>t2</code>.  (A node c-commands
-   * its sister(s) and any nodes below its sister(s).)
-   */
-  public boolean cCommands(Tree t1, Tree t2) {
-    List<Tree> sibs = t1.siblings(this);
-    if (sibs == null) {
-      return false;
-    }
-    for (Tree sib : sibs) {
-      if (sib == t2 || sib.contains(t2)) {
-        return true;
-      }
-    }
-    return false;
-  }
-
-  /**
-   * Returns the siblings of this Tree node.  The siblings are all
-   * children of the parent of this node except this node.
-   *
-   * @param root The root within which this tree node is contained
-   * @return The siblings as a list, an empty list if there are no siblings.
-   *   The returned list is a modifiable new list structure, but contains
-   *   the actual children.
-   */
-  public List<Tree> siblings(Tree root) {
-    Tree parent = parent(root);
-    if (parent == null) {
-      return null;
-    }
-    List<Tree> siblings = parent.getChildrenAsList();
-    siblings.remove(this);
-    return siblings;
-  }
-
-  /**
-   * insert <code>dtr</code> after <code>position</code> existing
-   * daughters in <code>this</code>.
-   */
-  public void insertDtr(Tree dtr, int position) {
-    Tree[] kids = children();
-    if (position > kids.length) {
-      throw new IllegalArgumentException("Can't insert tree after the " + position + "th daughter in " + this + "; only " + kids.length + " daughters exist!");
-    }
-    Tree[] newKids = new Tree[kids.length + 1];
-    int i = 0;
-    for (; i < position; i++) {
-      newKids[i] = kids[i];
-    }
-    newKids[i] = dtr;
-    for (; i < kids.length; i++) {
-      newKids[i + 1] = kids[i];
-    }
-    setChildren(newKids);
-  }
-
-  // --- composition methods to implement Label interface
-
-  public String value() {
-    Label lab = label();
-    if (lab == null) {
-      return null;
-    }
-    return lab.value();
-  }
-
-
-  public void setValue(String value) {
-    Label lab = label();
-    if (lab != null) {
-      lab.setValue(value);
-    }
-  }
-
-
-  public void setFromString(String labelStr) {
-    Label lab = label();
-    if (lab != null) {
-      lab.setFromString(labelStr);
-    }
-  }
-
-  /**
-   * Returns a factory that makes labels of the same type as this one.
-   * May return <code>null</code> if no appropriate factory is known.
-   *
-   * @return the LabelFactory for this kind of label
-   */
-  public LabelFactory labelFactory() {
-    Label lab = label();
-    if (lab == null) {
-      return null;
-    }
-    return lab.labelFactory();
-  }
-
-  /**
-   * Returns the positional index of the left edge of  <i>node</i> within the tree,
-   * as measured by characters.  Returns -1 if <i>node is not found.</i>
-   */
-  public int leftCharEdge(Tree node) {
-    MutableInteger i = new MutableInteger(0);
-    if (leftCharEdge(node, i)) {
-      return i.intValue();
-    }
-    return -1;
-  }
-
-  private boolean leftCharEdge(Tree node, MutableInteger i) {
-    if (this == node) {
-      return true;
-    } else if (isLeaf()) {
-      i.set(i.intValue() + value().length());
-      return false;
-    } else {
-      for (Tree child : children()) {
-        if (child.leftCharEdge(node, i)) {
-          return true;
-        }
-      }
-      return false;
-    }
-  }
-
-  /**
-   * Returns the positional index of the right edge of  <i>node</i> within the tree,
-   * as measured by characters. Returns -1 if <i>node is not found.</i>
-   *
-   * rightCharEdge returns the index of the rightmost character + 1, so that
-   * rightCharEdge(getLeaves().get(i)) == leftCharEdge(getLeaves().get(i+1))
-   *
-   * @param node The subtree to look for in this Tree
-   * @return The positional index of the right edge of node
-   */
-  public int rightCharEdge(Tree node) {
-    List<Tree> s = getLeaves();
-    int length = 0;
-    for (Tree leaf : s) {
-      length += leaf.label().value().length();
-    }
-    MutableInteger i = new MutableInteger(length);
-    if (rightCharEdge(node, i)) {
-      return i.intValue();
-    }
-    return -1;
-  }
-
-  private boolean rightCharEdge(Tree node, MutableInteger i) {
-    if (this == node) {
-      return true;
-    } else if (isLeaf()) {
-      i.set(i.intValue() - label().value().length());
-      return false;
-    } else {
-      for (int j = children().length - 1; j >= 0; j--) {
-        if (children()[j].rightCharEdge(node, i)) {
-          return true;
-        }
-      }
-      return false;
-    }
-  }
-
-  /**
-   * Calculates the node's <i>number</i>, defined as the number of nodes traversed in a left-to-right, depth-first search of the
-   * tree starting at <code>root</code> and ending at <code>this</code>.  Returns -1 if <code>root</code> does not contain <code>this</code>.
-   * @param root the root node of the relevant tree
-   * @return the number of the current node, or -1 if <code>root</code> does not contain <code>this</code>.
-   */
-  public int nodeNumber(Tree root) {
-    MutableInteger i = new MutableInteger(1);
-    if(nodeNumberHelper(root,i))
-      return i.intValue();
-    return -1;
-  }
-
-  private boolean nodeNumberHelper(Tree t, MutableInteger i) {
-    if(this==t)
-      return true;
-    i.incValue(1);
-    for(int j = 0; j < t.children().length; j++) {
-      if(nodeNumberHelper(t.children()[j],i))
-        return true;
-    }
-    return false;
-  }
-
-  /**
-   * Fetches the <code>i</code>th node in the tree, with node numbers defined
-   * as in {@link #nodeNumber(Tree)}.
-   *
-   * @param i the node number to fetch
-   * @return the <code>i</code>th node in the tree
-   * @throws IndexOutOfBoundsException if <code>i</code> is not between 1 and
-   *    the number of nodes (inclusive) contained in <code>this</code>.
-   */
-  public Tree getNodeNumber(int i) {
-    return getNodeNumberHelper(new MutableInteger(1),i);
-  }
-
-  private Tree getNodeNumberHelper(MutableInteger i, int target) {
-    int i1 = i.intValue();
-    if(i1 == target)
-      return this;
-    if(i1 > target)
-      throw new IndexOutOfBoundsException("Error -- tree does not contain " + i + " nodes.");
-    i.incValue(1);
-    for(int j = 0; j < children().length; j++) {
-      Tree temp = children()[j].getNodeNumberHelper(i, target);
-      if(temp != null)
-        return temp;
-    }
-    return null;
-  }
-
-  /**
-   * Assign sequential integer indices to the leaves of the tree
-   * rooted at this <code>Tree</code>, starting with 1.
-   * The leaves are traversed from left
-   * to right. If the node is already indexed, then it uses the existing index.
-   * This will only work if the leaves extend CoreMap.
-   */
-  public void indexLeaves() {
-    indexLeaves(1);
-  }
-
-  /**
-   * Assign sequential integer indices to the leaves of the subtree
-   * rooted at this <code>Tree</code>, beginning with
-   * <code>startIndex</code>, and traversing the leaves from left
-   * to right. If node is already indexed, then it uses the existing index.
-   * This method only works if the labels of the tree implement
-   * CoreMap!
-   *
-   * @param startIndex index for this node
-   * @return the next index still unassigned
-   */
-  private int indexLeaves(int startIndex) {
-    if (isLeaf()) {
-      CoreMap afl = (CoreMap) label();
-      Integer oldIndex = afl.get(IndexAnnotation.class);
-      if (oldIndex != null && oldIndex >= 0) {
-        startIndex = oldIndex;
-      } else {
-        afl.set(IndexAnnotation.class, startIndex);
-      }
-      startIndex++;
-    } else {
-      for (Tree kid : children()) {
-        startIndex = kid.indexLeaves(startIndex);
-      }
-    }
-    return startIndex;
-  }
-
-  public void indexSpans() {
-    indexSpans(0);
-  }
-
-  public void indexSpans(int startIndex) {
-    indexSpans(new MutableInteger(startIndex));
-  }
-
-  /**
-   * Assigns span indices (BeginIndexAnnotation and EndIndexAnnotation) to all nodes in a tree.
-   * The beginning index is equivalent to the IndexAnnotation of the first leaf in the constituent.
-   * The end index is equivalent to the first integer after the IndexAnnotation of the last leaf in the constituent.
-   * @param startIndex Begin indexing at this value
-   */
-  public Pair<Integer, Integer> indexSpans(MutableInteger startIndex) {
-    int start = Integer.MAX_VALUE;
-    int end = Integer.MIN_VALUE;
-
-    if(isLeaf()){
-      start = startIndex.intValue();
-      end = startIndex.intValue() + 1;
-      startIndex.incValue(1);
-    } else {
-      for (Tree kid : children()) {
-        Pair<Integer, Integer>  span = kid.indexSpans(startIndex);
-        if(span.first < start) start = span.first;
-        if(span.second > end) end = span.second;
-      }
-    }
-
-    CoreMap afl = (CoreMap) label();
-    afl.set(BeginIndexAnnotation.class, start);
-    afl.set(EndIndexAnnotation.class, end);
-    return new Pair<Integer, Integer>(start, end);
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeCoreAnnotations.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeCoreAnnotations.java
deleted file mode 100644
index 7ec43a7..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeCoreAnnotations.java
+++ /dev/null
@@ -1,46 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.CoreAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations;
-
-
-/**
- * Set of common annotations for {@link edu.stanford.nlp.util.CoreMap}s 
- * that require classes from the trees package.  See 
- * {@link CoreAnnotations} for more information.  This class exists 
- * so that {@link CoreAnnotations} need not depend on trees classes, making
- * distributions easier.
- * @author Anna Rafferty
- *
- */
-
-public class TreeCoreAnnotations {
-  
-  private TreeCoreAnnotations() {} // only static members
-
-  /**
-   * The CoreMap key for getting the syntactic parse tree of a sentence.
-   *
-   * This key is typically set on sentence annotations.
-   */
-  public static class TreeAnnotation implements CoreAnnotation<Tree> {
-    public Class<Tree> getType() {
-      return Tree.class;
-    }
-  }
-
-  /**
-   * The standard key for storing a head word in the map as a pointer to
-   * another node.
-   */
-  public static class HeadWordAnnotation implements CoreAnnotation<Tree> {
-    public Class<Tree> getType() {  return Tree.class; } }
-
-  /**
-   * The standard key for storing a head tag in the map as a pointer to
-   * another node.
-   */
-  public static class HeadTagAnnotation implements CoreAnnotation<Tree> {
-    public Class<Tree> getType() {  return Tree.class; } }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeFactory.java
deleted file mode 100644
index 7897b8b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeFactory.java
+++ /dev/null
@@ -1,65 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-
-import java.util.List;
-
-/**
- * A <code>TreeFactory</code> acts as a factory for creating objects of
- * class <code>Tree</code>, or some descendant class.
- * Methods implementing this interface may assume that the <code>List</code>
- * of children passed to them is a list that actually contains trees, but
- * this can't be enforced in Java without polymorphic types.
- * The methods with a String argument do not guarantee
- * that the tree label() will be a String -- the TreeFactory may
- * convert it into some other type.
- *
- * @author Christopher Manning
- * @version 2000/12/20
- */
-public interface TreeFactory {
-
-  /**
-   * Create a new tree leaf node, where the label is formed from
-   * the <code>String</code> passed in.
-   *
-   * @param word The word that will go into the tree label.
-   * @return The new leaf
-   */
-  public Tree newLeaf(String word);
-
-
-  /**
-   * Create a new tree non-leaf node, where the label is formed from
-   * the <code>String</code> passed in.
-   *
-   * @param parent   The string that will go into the parent tree label.
-   * @param children The list of daughters of this tree.  The children
-   *                 may be a (possibly empty) <code>List</code> of children or
-   *                 <code>null</code>
-   * @return The new interior tree node
-   */
-  public Tree newTreeNode(String parent, List<Tree> children);
-
-
-  /**
-   * Create a new tree leaf node, with the given label.
-   *
-   * @param label The label for the leaf node
-   * @return The new leaf
-   */
-  public Tree newLeaf(Label label);
-
-
-  /**
-   * Create a new tree non-leaf node, with the given label.
-   *
-   * @param label    The label for the parent tree node.
-   * @param children The list of daughters of this tree.  The children
-   *                 may be a (possibly empty) <code>List</code> of children or
-   *                 <code>null</code>
-   * @return The new interior tree node
-   */
-  public Tree newTreeNode(Label label, List<Tree> children);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeFunctions.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeFunctions.java
deleted file mode 100644
index 9425ed3..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeFunctions.java
+++ /dev/null
@@ -1,178 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.CategoryWordTag;
-import edu.stanford.nlp.ling.CategoryWordTagFactory;
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.StringLabel;
-import edu.stanford.nlp.ling.StringLabelFactory;
-import edu.stanford.nlp.util.Function;
-
-import java.io.IOException;
-import java.io.StringReader;
-import java.util.ArrayList;
-import java.util.Collections;
-import java.util.List;
-
-/**
- * This is a utility class which vends tree transformers to translate
- * trees from one factory type to trees of another.  For example,
- * StringLabel trees need to be made into CategoryWordTag trees before
- * they can be head-percolated.  Enter
- * LabeledTreeToCategoryWordTagTreeFunction.
- *
- * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a>
- * @version 1.0
- * @since 1.0
- */
-
-public class TreeFunctions {
-
-  private TreeFunctions() {
-  }
-
-
-  private static class LabeledTreeToStringLabeledTreeFunction implements Function<Tree, Tree> {
-
-    protected TreeFactory tf = new LabeledScoredTreeFactory();
-
-    public Tree helper(Tree t) {
-      if (t == null) {
-        return null;
-      }
-      if (t.isLeaf()) {
-        return tf.newLeaf(new StringLabel(t.label().value()));
-      }
-      if (t.isPreTerminal()) {
-        return tf.newTreeNode(new StringLabel(t.label().value()), Collections.singletonList(helper(t.children()[0])));
-      }
-      int numKids = t.numChildren();
-      List<Tree> children = new ArrayList<Tree>(numKids);
-      for (int k = 0; k < numKids; k++) {
-        children.add(helper(t.children()[k]));
-      }
-      return tf.newTreeNode(new StringLabel(t.label().value()), children);
-    }
-
-    public Tree apply(Tree t) {
-      return helper(t);
-    }
-  } // end static class
-
-
-  /**
-   * Return an Function that maps from Label-labeled trees (any
-   * implementing class) to LabeledScored trees with a StringLabel
-   * label.
-   *
-   * @return The Function object
-   */
-  public static Function<Tree, Tree> getLabeledTreeToStringLabeledTreeFunction() {
-    return new LabeledTreeToStringLabeledTreeFunction();
-  }
-
-
-  private static class LabeledTreeToCategoryWordTagTreeFunction implements Function<Tree, Tree> {
-
-    protected TreeFactory tf = 
-      new LabeledScoredTreeFactory(new CategoryWordTagFactory());
-
-    public Tree helper(Tree t) {
-      if (t == null) {
-        return null;
-      } else if (t.isLeaf()) {
-        return tf.newLeaf(t.label().value());
-      } else if (t.isPreTerminal()) {
-        return tf.newTreeNode(t.label().value(), Collections.singletonList(helper(t.children()[0])));
-      } else {
-        int numKids = t.numChildren();
-        List<Tree> children = new ArrayList<Tree>(numKids);
-        for (int k = 0; k < numKids; k++) {
-          children.add(helper(t.children()[k]));
-        }
-        return tf.newTreeNode(t.label().value(), children);
-      }
-    }
-
-    public Tree apply(Tree o) {
-      return helper(o);
-    }
-
-  } // end static class
-
-  /**
-   * Return a Function that maps from StringLabel labeled trees to
-   * LabeledScoredTrees with a CategoryWordTag label.
-   *
-   * @return The Function object
-   */
-  public static Function<Tree, Tree> getLabeledTreeToCategoryWordTagTreeFunction() {
-    return new LabeledTreeToCategoryWordTagTreeFunction();
-  }
-
-  /**
-   * This function recursively goes through the tree and builds a new
-   * copy with CoreLabels containing the toString() of the original label.
-   */
-  private static class LabeledToDescriptiveCoreLabelTreeFunction
-    implements Function<Tree, Tree> {
-
-    protected TreeFactory tf = 
-      new LabeledScoredTreeFactory(CoreLabel.factory());
-
-    public Tree apply(Tree t) {
-      if (t == null) {
-        return null;
-      } else if (t.isLeaf()) {
-        return tf.newLeaf(t.label().toString());
-      } else if (t.isPreTerminal()) {
-        return tf.newTreeNode(t.label().toString(), 
-                         Collections.singletonList(apply(t.children()[0])));
-      } else {
-        int numKids = t.numChildren();
-        List<Tree> children = new ArrayList<Tree>(numKids);
-        for (int k = 0; k < numKids; k++) {
-          children.add(apply(t.children()[k]));
-        }
-        return tf.newTreeNode(t.label().toString(), children);
-      }
-    }
-  }
-
-  /**
-   * Returns a function which takes a tree with any label class
-   * where the labels might have an interesting description, such
-   * as a CategoryWordTag which goes "cat [T/W]", and returns a new
-   * tree with CoreLabels which contain the toString() of each of
-   * the input labels.
-   */
-  public static Function<Tree, Tree> 
-    getLabeledToDescriptiveCoreLabelTreeFunction() {
-    return new LabeledToDescriptiveCoreLabelTreeFunction();
-  }
-
-
-  /**
-   * This method just tests the functionality of the included transformers.
-   */
-  public static void main(String[] args) {
-    //TreeFactory tf = new LabeledScoredTreeFactory();
-    Tree stringyTree = null;
-    try {
-      stringyTree = (new PennTreeReader(new StringReader("(S (VP (VBZ Try) (NP (DT this))) (. .))"), new LabeledScoredTreeFactory(new StringLabelFactory()))).readTree();
-    } catch (IOException e) {
-      // do nothing
-    }
-    System.out.println(stringyTree);
-    Function<Tree, Tree> a = getLabeledTreeToCategoryWordTagTreeFunction();
-    Tree adaptyTree = a.apply(stringyTree);
-    System.out.println(adaptyTree);
-    adaptyTree.percolateHeads(new CollinsHeadFinder());
-    System.out.println(adaptyTree);
-
-    Function<Tree, Tree> b = getLabeledTreeToStringLabeledTreeFunction();
-    Tree stringLabelTree = b.apply(adaptyTree);
-    System.out.println(stringLabelTree);
-
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeGraph.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeGraph.java
deleted file mode 100644
index 72e74dc..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeGraph.java
+++ /dev/null
@@ -1,143 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.Serializable;
-import java.util.HashMap;
-import java.util.Map;
-import java.util.Collection;
-
-/**
- * A <code>TreeGraph</code> is a tree with additional directed,
- * labeled arcs between arbitrary pairs of nodes.  (So, it's a graph
- * with a tree skeleton.)  This class is a container for the complete
- * TreeGraph structure, and does not inherit from {@link Tree
- * <code>Tree</code>}.  Individual nodes in the TreeGraph are
- * represented by {@link TreeGraphNode <code>TreeGraphNode</code>s},
- * which do inherit from <code>Tree</code>, and the additional
- * labeled arcs are represented in the <code>TreeGraphNode</code>s.
- *
- * @author Bill MacCartney
- * @see TreeGraphNode
- */
-public class TreeGraph implements Serializable {
-
-  /**
-   * The root node of this treegraph.
-   */
-  protected TreeGraphNode root;
-
-  /**
-   * A map from arbitrary integer indices to nodes.
-   */
-  private Map<Integer, TreeGraphNode> indexMap = new HashMap<Integer, TreeGraphNode>();
-
-  /**
-   * Construct a new <code>TreeGraph</code> having the same tree
-   * structure and label values as an existing tree (but no shared
-   * storage).  This constructor also assigns integer indices to
-   * all the nodes, beginning with 0 and using a preorder tree
-   * traversal.
-   *
-   * @param t the tree to copy
-   */
-  public TreeGraph(Tree t) {
-    root = new TreeGraphNode(t, this);
-    root.indexNodes();
-  }
-  
-  public TreeGraph(TreeGraphNode root) {
-    this.root = root;
-    root.indexNodes();
-  }
-  
-  /**
-   * Return the root node of this treegraph.
-   *
-   * @return the root node of this treegraph
-   */
-  public TreeGraphNode root() {
-    return root;
-  }
-
-  /**
-   * Store a mapping from an arbitrary integer index to a node in
-   * this treegraph.  Normally a client shouldn't need to use this,
-   * as the nodes are automatically indexed by the
-   * <code>TreeGraph</code> constructor.
-   *
-   * @param index the arbitrary integer index
-   * @param node  the <code>TreeGraphNode</code> to be indexed
-   */
-  public void addNodeToIndexMap(int index, TreeGraphNode node) {
-    indexMap.put(Integer.valueOf(index), node);
-  }
-
-  /**
-   * Return the node in the this treegraph corresponding to the
-   * specified integer index.
-   *
-   * @param index the integer index of the node you want
-   * @return the <code>TreeGraphNode</code> having the specified
-   *         index (or <code>null</code> if such does not exist)
-   */
-  public TreeGraphNode getNodeByIndex(int index) {
-    return indexMap.get(Integer.valueOf(index));
-  }
-
-  public Collection<TreeGraphNode> getNodes() {
-    return indexMap.values();
-  }
-
-  /**
-   * Return a <code>String</code> representing this treegraph.  By
-   * default, the nodes of the treegraph are printed in Lispy
-   * (parenthesized) format, with one node per line, indented
-   * according to depth.
-   *
-   * @return a <code>String</code> representation of this treegraph
-   */
-  @Override
-  public String toString() {
-    return root.toPrettyString(0).substring(1);
-  }
-
-  private static final long serialVersionUID = 1L;
-
-  /**
-   * Just for testing.
-   */
-  public static void main(String[] args) {
-    Tree t;
-    try {
-      t = Tree.valueOf("(S (NP (NNP Sam)) (VP (VBD died) (NP-TMP (NN today))))");
-    } catch (Exception e) {
-      System.err.println("Horrible error: " + e);
-      e.printStackTrace();
-      return;
-    }
-
-    t.pennPrint();
-
-    System.out.println("----------------------------");
-    TreeGraph tg = new TreeGraph(t);
-    System.out.println(tg);
-
-    tg.root.percolateHeads(new SemanticHeadFinder());
-    System.out.println("----------------------------");
-    System.out.println(tg);
-
-//    TreeGraphNode node1 = tg.getNodeByIndex(1);
-//    TreeGraphNode node4 = tg.getNodeByIndex(4);
-//    node1.addArc("1to4", node4);
-//    node1.addArc("1TO4", node4);
-//    node4.addArc("4to1", node1);
-//    System.out.println("----------------------------");
-//    System.out.println("arcs from 1 to 4: " + node1.arcLabelsToNode(node4));
-//    System.out.println("arcs from 4 to 1: " + node4.arcLabelsToNode(node1));
-//    System.out.println("arcs from 0 to 4: " + tg.root.arcLabelsToNode(node4));
-//    for (int i = 0; i <= 9; i++) {
-//      System.out.println("parent of " + i + ": " + tg.getNodeByIndex(i).parent());
-//      System.out.println("highest node with same head as " + i + ": " + tg.getNodeByIndex(i).highestNodeWithSameHead());
-//    }
-  } // end main
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeGraphNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeGraphNode.java
deleted file mode 100644
index 116ba0e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeGraphNode.java
+++ /dev/null
@@ -1,794 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.StringReader;
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.HashSet;
-import java.util.Iterator;
-import java.util.List;
-import java.util.Set;
-
-import edu.stanford.nlp.ling.CoreAnnotation;
-import edu.stanford.nlp.ling.CoreAnnotations;
-import edu.stanford.nlp.ling.CyclicCoreLabel;
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.LabelFactory;
-import edu.stanford.nlp.trees.GrammaticalRelation.GrammaticalRelationAnnotation;
-import edu.stanford.nlp.util.Filter;
-import edu.stanford.nlp.util.Generics;
-import edu.stanford.nlp.util.StringUtils;
-
-
-/**
- * A "treegraph" is a tree with additional directed, labeled arcs
- * between arbitrary pairs of nodes.  (So, it's a graph with a tree
- * skeleton.)  A <code>TreeGraphNode</code> represents any node in a
- * treegraph.  The additional labeled arcs are represented by using
- * {@link CyclicCoreLabel <code>CyclicCoreLabel</code>} labels at each node, which
- * contain <code>Map</code>s from arc label strings to
- * <code>Set</code>s of <code>TreeGraphNode</code>s.  Each
- * <code>TreeGraphNode</code> should contain a reference to a {@link
- * TreeGraph <code>TreeGraph</code>} object, which is a container for
- * the complete treegraph structure.<p>
- *
- * <p>This class makes the horrible mistake of changing the semantics of
- * equals and hashCode to go back to "==" and System.identityHashCode,
- * despite the semantics of the superclass's equality.</p>
- *
- * @author Bill MacCartney
- * @see TreeGraph
- */
-public class TreeGraphNode extends Tree {
-
-  /**
-   * Label for this node.
-   */
-  protected CyclicCoreLabel label;
-
-  /**
-   * Parent of this node.
-   */
-  protected TreeGraphNode parent; // = null;
-
-
-  /**
-   * Children of this node.
-   */
-  protected TreeGraphNode[] children = ZERO_TGN_CHILDREN;
-
-  /**
-   * The {@link TreeGraph <code>TreeGraph</code>} of which this
-   * node is part.
-   */
-  protected TreeGraph tg;
-
-  /**
-   * A leaf node should have a zero-length array for its
-   * children. For efficiency, subclasses can use this array as a
-   * return value for children() for leaf nodes if desired. Should
-   * this be public instead?
-   */
-  protected static final TreeGraphNode[] ZERO_TGN_CHILDREN = new TreeGraphNode[0];
-
-  private static LabelFactory mlf = CyclicCoreLabel.factory();
-
-  /**
-   * Create a new empty <code>TreeGraphNode</code>.
-   */
-  public TreeGraphNode() {
-  }
-
-  /**
-   * Create a new <code>TreeGraphNode</code> with the supplied
-   * label.
-   *
-   * @param label the label for this node.
-   */
-  public TreeGraphNode(Label label) {
-    this.label = (CyclicCoreLabel) mlf.newLabel(label);
-  }
-
-  /**
-   * Create a new <code>TreeGraphNode</code> with the supplied
-   * label and list of child nodes.
-   *
-   * @param label    the label for this node.
-   * @param children the list of child <code>TreeGraphNode</code>s
-   *                 for this node.
-   */
-  public TreeGraphNode(Label label, List<Tree> children) {
-    this(label);
-    setChildren(children);
-  }
-
-  /**
-   * Create a new <code>TreeGraphNode</code> having the same tree
-   * structure and label values as an existing tree (but no shared
-   * storage).
-   * @param t     the tree to copy
-   * @param graph the graph of which this node is a part
-   */
-  public TreeGraphNode(Tree t, TreeGraph graph) {
-    this(t, (TreeGraphNode) null);
-    this.setTreeGraph(graph);
-  }
-
-  // XXX TODO it's not really clear what graph the copy should be a part of
-  public TreeGraphNode(TreeGraphNode t) {
-    this(t, t.parent);
-    this.setTreeGraph(t.treeGraph());
-  }
-
-  /**
-   * Create a new <code>TreeGraphNode</code> having the same tree
-   * structure and label values as an existing tree (but no shared
-   * storage).  Operates recursively to construct an entire
-   * subtree.
-   *
-   * @param t      the tree to copy
-   * @param parent the parent node
-   */
-  protected TreeGraphNode(Tree t, TreeGraphNode parent) {
-    this.parent = parent;
-    Tree[] tKids = t.children();
-    int numKids = tKids.length;
-    children = new TreeGraphNode[numKids];
-    for (int i = 0; i < numKids; i++) {
-      children[i] = new TreeGraphNode(tKids[i], this);
-      if (t.isPreTerminal()) { // add the tags to the leaves
-        children[i].label.setTag(t.label().value());
-      }
-    }
-    this.label = (CyclicCoreLabel) mlf.newLabel(t.label());
-  }
-
-  /**
-   * Implements equality for <code>TreeGraphNode</code>s.  Unlike
-   * <code>Tree</code>s, <code>TreeGraphNode</code>s should be
-   * considered equal only if they are ==.  <i>Implementation note:</i>
-   * TODO: This should be changed via introducing a Tree interface with the current Tree and this class implementing it, since what is done here breaks the equals() contract.
-   *
-   * @param o The object to compare with
-   * @return Whether two things are equal
-   */
-  @Override
-  public boolean equals(Object o) {
-    return o == this;
-  }
-
-  @Override
-  public int hashCode() {
-    return System.identityHashCode(this);
-  }
-
-  /**
-   * Returns the label associated with the current node, or null
-   * if there is no label.
-   *
-   * @return the label of the node
-   */
-  @Override
-  public CyclicCoreLabel label() {
-    return label;
-  }
-
-  /**
-   * Sets the label associated with the current node.
-   *
-   * @param label the new label to use.
-   */
-  public void setLabel(final CyclicCoreLabel label) {
-    this.label = label;
-  }
-
-  /**
-   * Get the index for the current node.
-   */
-  public int index() {
-    return label.index();
-  }
-
-  /**
-   * Set the index for the current node.
-   */
-  protected void setIndex(int index) {
-    label.setIndex(index);
-  }
-
-  /**
-   * Assign sequential integer indices to the leaves of the subtree
-   * rooted at this <code>TreeGraphNode</code>, beginning with
-   * <code>startIndex</code>, and traversing the leaves from left
-   * to right. If node is already indexed, then it uses the existing index.
-   *
-   * @param startIndex index for this node
-   * @return the next index still unassigned
-   */
-  private int indexLeaves(int startIndex) {
-    if (isLeaf()) {
-      int oldIndex = index();
-      if (oldIndex>=0) {
-        startIndex = oldIndex;
-      } else {
-        setIndex(startIndex);
-      }
-      if (tg != null) {
-        tg.addNodeToIndexMap(startIndex, this);
-      }
-      startIndex++;
-    } else {
-      for (int i = 0; i < children.length; i++) {
-        startIndex = children[i].indexLeaves(startIndex);
-      }
-    }
-    return startIndex;
-  }
-
-  /**
-   * Assign sequential integer indices to all nodes of the subtree
-   * rooted at this <code>TreeGraphNode</code>, beginning with
-   * <code>startIndex</code>, and doing a pre-order tree traversal.
-   * Any node which already has an index will not be re-indexed
-   * &mdash; this is so that we can index the leaves first, and
-   * then index the rest.
-   *
-   * @param startIndex index for this node
-   * @return the next index still unassigned
-   */
-  private int indexNodes(int startIndex) {
-    if (index() < 0) {		// if this node has no index
-      if (tg != null) {
-        tg.addNodeToIndexMap(startIndex, this);
-      }
-      setIndex(startIndex++);
-    }
-    if (!isLeaf()) {
-      for (int i = 0; i < children.length; i++) {
-        startIndex = children[i].indexNodes(startIndex);
-      }
-    }
-    return startIndex;
-  }
-
-  /**
-   * Assign sequential integer indices (starting with 0) to all
-   * nodes of the subtree rooted at this
-   * <code>TreeGraphNode</code>.  The leaves are indexed first,
-   * from left to right.  Then the internal nodes are indexed,
-   * using a pre-order tree traversal.
-   */
-  protected void indexNodes() {
-    indexNodes(indexLeaves(1));
-  }
-
-  /**
-   * Get the parent for the current node.
-   */
-  @Override
-  public Tree parent() {
-    return parent;
-  }
-
-  /**
-   * Set the parent for the current node.
-   */
-  public void setParent(TreeGraphNode parent) {
-    this.parent = parent;
-  }
-
-  /**
-   * Returns an array of the children of this node.
-   */
-  @Override
-  public TreeGraphNode[] children() {
-    return children;
-  }
-
-  /**
-   * Sets the children of this <code>TreeGraphNode</code>.  If
-   * given <code>null</code>, this method sets
-   * the node's children to the canonical zero-length Tree[] array.
-   *
-   * @param children an array of child trees
-   */
-  @Override
-  public void setChildren(Tree[] children) {
-    if (children == null || children.length == 0) {
-      this.children = ZERO_TGN_CHILDREN;
-    } else {
-      if (children instanceof TreeGraphNode[]) {
-        this.children = (TreeGraphNode[]) children;
-      } else {
-        this.children = new TreeGraphNode[children.length];
-        for (int i = 0; i < children.length; i++) {
-          this.children[i] = (TreeGraphNode)children[i];
-        }
-      }
-    }
-  }
-
-  /** {@inheritDoc} */
-  public void setChildren(List<? extends Tree> childTreesList) {
-    if (childTreesList == null || childTreesList.isEmpty()) {
-      setChildren(ZERO_TGN_CHILDREN);
-    } else {
-      int leng = childTreesList.size();
-      TreeGraphNode[] childTrees = new TreeGraphNode[leng];
-      childTreesList.toArray(childTrees);
-      setChildren(childTrees);
-    }
-  }
-
-  /**
-   * Get the <code>TreeGraph</code> of which this node is a
-   * part.
-   */
-  protected TreeGraph treeGraph() {
-    return tg;
-  }
-
-  /**
-   * Set pointer to the <code>TreeGraph</code> of which this node
-   * is a part.  Operates recursively to set pointer for all
-   * descendants too.
-   */
-  protected void setTreeGraph(TreeGraph tg) {
-    this.tg = tg;
-    for (TreeGraphNode child : children) {
-      child.setTreeGraph(tg);
-    }
-  }
-
-  /**
-   * Add a labeled arc from this node to the argument node.
-   *
-   * @param arcLabel the <code>Class&lt;? extends GrammaticalRelationAnnotation&gt;</code> with which the new arc
-   *                 is to be labeled.
-   * @param node     the <code>TreeGraphNode</code> to which the new
-   *                 arc should point.
-   * @return <code>true</code> iff the arc did not already exist.
-   */
-  @SuppressWarnings("unchecked")
-  public <GR extends GrammaticalRelationAnnotation> boolean addArc(Class<GR> arcLabel, TreeGraphNode node) {
-    if (node == null) {
-      return false;
-    }
-    if (!treeGraph().equals(node.treeGraph())) {
-      System.err.println("Warning: you are trying to add an arc from node " + this + " to node " + node + ", but they do not belong to the same TreeGraph!");
-    }
-    if (!label.containsKey(arcLabel)) {
-      label.set(arcLabel, new HashSet<TreeGraphNode>());
-    }
-    return ((Collection) label.get(arcLabel)).add(node);
-  }
-
-  /**
-   * Returns the <code>Set</code> of <code>TreeGraphNode</code>s to
-   * which there exist arcs bearing the specified label from this
-   * node, or <code>null</code> if no such nodes exist.
-   *
-   * @param arcLabel the <code>Object</code> which labels the
-   *                 arc(s) to be followed.
-   * @return a <code>Set</code> containing only and all the
-   *         <code>TreeGraphNode</code>s to which there exist arcs bearing
-   *         the specified label from this node.
-   */
-  public Set<TreeGraphNode> followArcToSet(Class<? extends GrammaticalRelationAnnotation> arcLabel) {
-    return label().get(arcLabel);
-  }
-
-  /**
-   * Returns a single <code>TreeGraphNode</code> to which there
-   * exists an arc bearing the specified label from this node, or
-   * <code>null</code> if no such node exists.  If more than one
-   * such node exists, this method will return an arbitrary node
-   * from among them; if this is a possibility, you might want to
-   * use {@link TreeGraphNode#followArcToSet
-   * <code>followArcToSet</code>} instead.
-   *
-   * @param arcLabel a <code>Object</code> containing the label of
-   *                 the arc(s) to be followed
-   * @return a <code>TreeGraphNode</code> to which there exists an
-   *         arc bearing the specified label from this node
-   */
-  public TreeGraphNode followArcToNode(Class<? extends GrammaticalRelationAnnotation> arcLabel) {
-    Set<TreeGraphNode> valueSet = followArcToSet(arcLabel);
-    if (valueSet == null) {
-      return null;
-    }
-    return valueSet.iterator().next();
-  }
-
-  /**
-   * Finds all arcs between this node and <code>destNode</code>,
-   * and returns the <code>Set</code> of <code>Object</code>s which
-   * label those arcs.  If no such arcs exist, returns an empty
-   * <code>Set</code>.
-   *
-   * @param destNode the destination node
-   * @return the <code>Set</code> of <code>Object</code>s which
-   *         label arcs between this node and <code>destNode</code>
-   */
-  public Set<Class<? extends GrammaticalRelationAnnotation>> arcLabelsToNode(TreeGraphNode destNode) {
-    Set<Class<? extends GrammaticalRelationAnnotation>> arcLabels = Generics.newHashSet();
-    CyclicCoreLabel cl = label();
-    for (Iterator<Class<?>> it = cl.keySet().iterator(); it.hasNext();) {
-      Class<? extends CoreAnnotation> key = (Class<? extends CoreAnnotation>) it.next();//javac doesn't compile properly if generics are fully specified (but eclipse does...)
-      Object val = cl.get(key);
-      if (val != null && val instanceof Set) {
-        if (((Set) val).contains(destNode)) {
-          if (key != null) {
-            arcLabels.add((Class<? extends GrammaticalRelationAnnotation>) key);
-          }
-        }
-      }
-    }
-    return arcLabels;
-  }
-
-  /**
-   * Returns the label of a single arc between this node and <code>destNode</code>,
-   * or <code>null</code> if no such arc exists.  If more than one
-   * such arc exists, this method will return an arbitrary arc label
-   * from among them; if this is a possibility, you might want to
-   * use {@link TreeGraphNode#arcLabelsToNode
-   * <code>arcLabelsToNode</code>} instead.
-   *
-   * @param destNode the destination node
-   * @return the <code>Object</code> which
-   *         labels one arc between this node and <code>destNode</code>
-   */
-  public Class<? extends GrammaticalRelationAnnotation> arcLabelToNode(TreeGraphNode destNode) {
-    Set<Class<? extends GrammaticalRelationAnnotation>> arcLabels = arcLabelsToNode(destNode);
-    if (arcLabels == null) {
-      return null;
-    }
-    return (new ArrayList<Class<? extends GrammaticalRelationAnnotation>>(arcLabels)).get(0);
-  }
-
-  /**
-   * Uses the specified {@link HeadFinder <code>HeadFinder</code>}
-   * to determine the heads for this node and all its descendants,
-   * and to store references to the head word node and head tag node
-   * in this node's {@link CyclicCoreLabel <code>CyclicCoreLabel</code>} and the
-   * <code>CyclicCoreLabel</code>s of all its descendants.<p>
-   * <p/>
-   * Note that, in contrast to {@link Tree#percolateHeads
-   * <code>Tree.percolateHeads()</code>}, which assumes {@link
-   * edu.stanford.nlp.ling.CategoryWordTag
-   * <code>CategoryWordTag</code>} labels and therefore stores head
-   * words and head tags merely as <code>String</code>s, this
-   * method stores references to the actual nodes.  This mitigates
-   * potential problems in sentences which contain the same word
-   * more than once.
-   *
-   * @param hf The headfinding algorithm to use
-   */
-  @Override
-  public void percolateHeads(HeadFinder hf) {
-    if (isLeaf()) {
-      TreeGraphNode hwn = headWordNode();
-      if (hwn == null) {
-        setHeadWordNode(this);
-      }
-    } else {
-      for (Tree child : children()) {
-        child.percolateHeads(hf);
-      }
-      TreeGraphNode head = safeCast(hf.determineHead(this,parent));
-      if (head != null) {
-
-        TreeGraphNode hwn = head.headWordNode();
-        if (hwn == null && head.isLeaf()) { // below us is a leaf
-          setHeadWordNode(head);
-        } else {
-          setHeadWordNode(hwn);
-        }
-
-        TreeGraphNode htn = head.headTagNode();
-        if (htn == null && head.isLeaf()) { // below us is a leaf
-          setHeadTagNode(this);
-        } else {
-          setHeadTagNode(htn);
-        }
-
-      } else {
-        System.err.println("Head is null: " + this);
-      }
-    }
-  }
-
-  /**
-   * Return a set of node-node dependencies, represented as Dependency
-   * objects, for the Tree.
-   *
-   * @param hf The HeadFinder to use to identify the head of constituents.
-   *           If this is <code>null</code>, then nodes are assumed to already
-   *           be marked with their heads.
-   * @return Set of dependencies (each a <code>Dependency</code>)
-   */
-  @Override
-  public Set<Dependency<Label, Label, Object>> dependencies(Filter<Dependency<Label, Label, Object>> f, HeadFinder hf) {
-    Set<Dependency<Label, Label, Object>> deps = Generics.newHashSet();
-    for (Tree t : this) {
-
-      TreeGraphNode node = safeCast(t);
-      if (node == null || node.isLeaf() || node.children().length < 2) {
-        continue;
-      }
-
-      TreeGraphNode headWordNode;
-      if (hf != null) {
-        headWordNode = safeCast(node.headTerminal(hf));
-      } else {
-        headWordNode = node.headWordNode();
-      }
-
-      for (Tree k : node.children()) {
-        TreeGraphNode kid = safeCast(k);
-        if (kid == null) {
-          continue;
-        }
-        TreeGraphNode kidHeadWordNode;
-        if (hf != null) {
-          kidHeadWordNode = safeCast(kid.headTerminal(hf));
-        } else {
-          kidHeadWordNode = kid.headWordNode();
-        }
-
-        if (headWordNode != null && headWordNode != kidHeadWordNode) {
-          Dependency<Label, Label, Object> d = new UnnamedDependency(headWordNode, kidHeadWordNode);
-          if (f.accept(d)) {
-            deps.add(d);
-          }
-        }
-      }
-    }
-    return deps;
-  }
-
-  /**
-   * Return the node containing the head word for this node (or
-   * <code>null</code> if none), as recorded in this node's {@link
-   * CyclicCoreLabel <code>CyclicCoreLabel</code>}.  (In contrast to {@link
-   * edu.stanford.nlp.ling.CategoryWordTag
-   * <code>CategoryWordTag</code>}, we store head words and head
-   * tags as references to nodes, not merely as
-   * <code>String</code>s.)
-   *
-   * @return the node containing the head word for this node
-   */
-  public TreeGraphNode headWordNode() {
-    TreeGraphNode hwn = safeCast(label.get(TreeCoreAnnotations.HeadWordAnnotation.class));
-    if (hwn == null || (hwn.treeGraph() != null && !(hwn.treeGraph().equals(this.treeGraph())))) {
-      return null;
-    }
-    return hwn;
-  }
-
-  /**
-   * Store the node containing the head word for this node by
-   * storing it in this node's {@link CyclicCoreLabel
-   * <code>CyclicCoreLabel</code>}.  (In contrast to {@link
-   * edu.stanford.nlp.ling.CategoryWordTag
-   * <code>CategoryWordTag</code>}, we store head words and head
-   * tags as references to nodes, not merely as
-   * <code>String</code>s.)
-   *
-   * @param hwn the node containing the head word for this node
-   */
-  private void setHeadWordNode(final TreeGraphNode hwn) {
-    label.set(TreeCoreAnnotations.HeadWordAnnotation.class, hwn);
-  }
-
-  /**
-   * Return the node containing the head tag for this node (or
-   * <code>null</code> if none), as recorded in this node's {@link
-   * CyclicCoreLabel <code>CyclicCoreLabel</code>}.  (In contrast to {@link
-   * edu.stanford.nlp.ling.CategoryWordTag
-   * <code>CategoryWordTag</code>}, we store head words and head
-   * tags as references to nodes, not merely as
-   * <code>String</code>s.)
-   *
-   * @return the node containing the head tag for this node
-   */
-  public TreeGraphNode headTagNode() {
-    TreeGraphNode htn = safeCast(label.get(TreeCoreAnnotations.HeadTagAnnotation.class));
-    if (htn == null || (htn.treeGraph() != null && !(htn.treeGraph().equals(this.treeGraph())))) {
-      return null;
-    }
-    return htn;
-  }
-
-  /**
-   * Store the node containing the head tag for this node by
-   * storing it in this node's {@link CyclicCoreLabel
-   * <code>CyclicCoreLabel</code>}.  (In contrast to {@link
-   * edu.stanford.nlp.ling.CategoryWordTag
-   * <code>CategoryWordTag</code>}, we store head words and head
-   * tags as references to nodes, not merely as
-   * <code>String</code>s.)
-   *
-   * @param htn the node containing the head tag for this node
-   */
-  private void setHeadTagNode(final TreeGraphNode htn) {
-    label.set(TreeCoreAnnotations.HeadTagAnnotation.class, htn);
-  }
-
-  /**
-   * Safely casts an <code>Object</code> to a
-   * <code>TreeGraphNode</code> if possible, else returns
-   * <code>null</code>.
-   *
-   * @param t any <code>Object</code>
-   * @return <code>t</code> if it is a <code>TreeGraphNode</code>;
-   *         <code>null</code> otherwise
-   */
-  private static TreeGraphNode safeCast(Object t) {
-    if (t == null || !(t instanceof TreeGraphNode)) {
-      return null;
-    }
-    return (TreeGraphNode) t;
-  }
-
-  /**
-   * Checks the node's ancestors to find the highest ancestor with the
-   * same <code>headWordNode</code> as this node.
-   */
-  public TreeGraphNode highestNodeWithSameHead() {
-    TreeGraphNode node = this;
-    while (true) {
-      TreeGraphNode parent = safeCast(node.parent());
-      if (parent == null || parent.headWordNode() != node.headWordNode()) {
-        return node;
-      }
-      node = parent;
-    }
-  }
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class TreeFactoryHolder {
-
-    static final TreeGraphNodeFactory tgnf = new TreeGraphNodeFactory();
-
-    private TreeFactoryHolder() {
-    }
-
-  }
-
-  /**
-   * Returns a <code>TreeFactory</code> that produces
-   * <code>TreeGraphNode</code>s.  The <code>Label</code> of
-   * <code>this</code> is examined, and providing it is not
-   * <code>null</code>, a <code>LabelFactory</code> which will
-   * produce that kind of <code>Label</code> is supplied to the
-   * <code>TreeFactory</code>.  If the <code>Label</code> is
-   * <code>null</code>, a
-   * <code>CyclicCoreLabel.factory()</code> will be used.  The factories
-   * returned on different calls are different: a new one is
-   * allocated each time.
-   *
-   * @return a factory to produce treegraphs
-   */
-  @Override
-  public TreeFactory treeFactory() {
-    LabelFactory lf;
-    if (label() != null) {
-      lf = label().labelFactory();
-    } else {
-      lf = CyclicCoreLabel.factory();
-    }
-    return new TreeGraphNodeFactory(lf);
-  }
-
-  /**
-   * Return a <code>TreeFactory</code> that produces trees of type
-   * <code>TreeGraphNode</code>.  The factory returned is always
-   * the same one (a singleton).
-   *
-   * @return a factory to produce treegraphs
-   */
-  public static TreeFactory factory() {
-    return TreeFactoryHolder.tgnf;
-  }
-
-  /**
-   * Return a <code>TreeFactory</code> that produces trees of type
-   * <code>TreeGraphNode</code>, with the <code>Label</code> made
-   * by the supplied <code>LabelFactory</code>.  The factory
-   * returned is a different one each time.
-   *
-   * @param lf The <code>LabelFactory</code> to use
-   * @return a factory to produce treegraphs
-   */
-  public static TreeFactory factory(LabelFactory lf) {
-    return new TreeGraphNodeFactory(lf);
-  }
-
-  /**
-   * Returns a <code>String</code> representation of this node and
-   * its subtree with one node per line, indented according to
-   * <code>indentLevel</code>.
-   *
-   * @param indentLevel how many levels to indent (0 for root node)
-   * @return <code>String</code> representation of this subtree
-   */
-  public String toPrettyString(int indentLevel) {
-    StringBuilder buf = new StringBuilder("\n");
-    for (int i = 0; i < indentLevel; i++) {
-      buf.append("  ");
-    }
-    if (children == null || children.length == 0) {
-      buf.append(label.toString("value-index{map}"));
-    } else {
-      buf.append('(').append(label.toString("value-index{map}"));
-      for (TreeGraphNode child : children) {
-        buf.append(' ').append(child.toPrettyString(indentLevel + 1));
-      }
-      buf.append(')');
-    }
-    return buf.toString();
-  }
-
-  /**
-   * Returns a <code>String</code> representation of this node and
-   * its subtree as a one-line parenthesized list.
-   *
-   * @return <code>String</code> representation of this subtree
-   */
-  public String toOneLineString() {
-    StringBuilder buf = new StringBuilder();
-    if (children == null || children.length == 0) {
-      buf.append(label);
-    } else {
-      buf.append('(').append(label);
-      for (TreeGraphNode child : children) {
-        buf.append(' ').append(child.toOneLineString());
-      }
-      buf.append(')');
-    }
-    return buf.toString();
-  }
-
-  public String toPrimes() {
-    Integer integer = label().get(CoreAnnotations.CopyAnnotation.class);
-    int copy = 0;
-    if (integer != null) {
-      copy = integer;
-    }
-    return StringUtils.repeat('\'', copy);
-  }
-
-  @Override
-  public String toString() {
-    return label.toString();
-  }
-
-  public String toString(String format) {
-    return label.toString(format);
-  }
-
-  /**
-   * Just for testing.
-   */
-  public static void main(String[] args) {
-    try {
-      TreeReader tr = new PennTreeReader(new StringReader("(S (NP (NNP Sam)) (VP (VBD died) (NP (NN today))))"), new LabeledScoredTreeFactory());
-      Tree t = tr.readTree();
-      System.out.println(t);
-      TreeGraphNode tgn = new TreeGraphNode(t, (TreeGraphNode) null);
-      System.out.println(tgn.toPrettyString(0));
-      tgn.indexNodes();
-      System.out.println(tgn.toPrettyString(0));
-      tgn.percolateHeads(new SemanticHeadFinder());
-      System.out.println(tgn.toPrettyString(0));
-    } catch (Exception e) {
-      System.err.println("Horrible error: " + e);
-      e.printStackTrace();
-    }
-  }
-
-  // Automatically generated by Eclipse
-  private static final long serialVersionUID = 5080098143617475328L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeGraphNodeFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeGraphNodeFactory.java
deleted file mode 100644
index 2a79bf0..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeGraphNodeFactory.java
+++ /dev/null
@@ -1,57 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.LabelFactory;
-import edu.stanford.nlp.ling.CyclicCoreLabel;
-
-import java.util.List;
-
-
-/**
- * A <code>TreeGraphNodeFactory</code> acts as a factory for creating
- * nodes in a {@link TreeGraph <code>TreeGraph</code>}.  Unless
- * another {@link LabelFactory <code>LabelFactory</code>} is
- * supplied, it will use a CyclicCoreLabelFactory
- * by default.
- *
- * @author Bill MacCartney
- */
-public class TreeGraphNodeFactory implements TreeFactory {
-
-  private LabelFactory mlf;
-
-  /**
-   * Make a <code>TreeFactory</code> that produces
-   * <code>TreeGraphNode</code>s.  The labels are of class
-   * <code>CyclicCoreLabel</code>.
-   */
-  public TreeGraphNodeFactory() {
-    this(CyclicCoreLabel.factory());
-  }
-
-  public TreeGraphNodeFactory(LabelFactory mlf) {
-    this.mlf = mlf;
-  }
-
-  // docs inherited
-  public Tree newLeaf(final String word) {
-    return newLeaf(mlf.newLabel(word));
-  }
-
-  // docs inherited
-  public Tree newLeaf(Label label) {
-    return new TreeGraphNode(label);
-  }
-
-  // docs inherited
-  public Tree newTreeNode(final String parent, final List<Tree> children) {
-    return newTreeNode(mlf.newLabel(parent), children);
-  }
-
-  // docs inherited
-  public Tree newTreeNode(Label parentLabel, List<Tree> children) {
-    return new TreeGraphNode(parentLabel, children);
-  }
-
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeNormalizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeNormalizer.java
deleted file mode 100644
index 7a67d45..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeNormalizer.java
+++ /dev/null
@@ -1,75 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.Serializable;
-
-/**
- * A class for tree normalization.  The default one does no normalization.
- * Other tree normalizers will change various node labels, or perhaps the
- * whole tree geometry (by doing such things as deleting functional tags or
- * empty elements).  Another operation that a <code>TreeNormalizer</code>
- * may wish to perform is interning the <code>String</code>s passed to
- * it.  Can be reused as a Singleton.  Designed to be extended.
- * <p/>
- * The <code>TreeNormalizer</code> methods are in two groups.
- * The contract for this class is that first normalizeTerminal or
- * normalizeNonterminal will be called on each <code>String</code> that will
- * be put into a <code>Tree</code>, when they are read from files or
- * otherwise created.  Then <code>normalizeWholeTree</code> will
- * be called on the <code>Tree</code>.  It normally walks the
- * <code>Tree</code> making whatever modifications it wishes to. A
- * <code>TreeNormalizer</code> need not make a deep copy of a
- * <code>Tree</code>.  It is assumed to be able to work destructively,
- * because afterwards we will only use the normalized <code>Tree</code>.
- * <p/>
- * <i>Implementation note:</i> This is a very old legacy class used in conjunction
- * with PennTreeReader.  It seems now that it would be better to move the
- * String normalization into the tokenizer, and then we are just left with a
- * (possibly destructive) TreeTransformer.
- *
- * @author Christopher Manning
- */
-public class TreeNormalizer implements Serializable {
-
-  public TreeNormalizer() {
-  }
-
-  /**
-   * Normalizes a leaf contents (and maybe intern it).
-   *
-   * @param leaf The String that decorates the leaf
-   * @return The normalized form of this leaf String
-   */
-  public String normalizeTerminal(String leaf) {
-    return leaf;
-  }
-
-  /**
-   * Normalizes a nonterminal contents (and maybe intern it).
-   *
-   * @param category The String that decorates this nonterminal node
-   * @return The normalized form of this nonterminal String
-   */
-  public String normalizeNonterminal(String category) {
-    return category;
-  }
-
-  /**
-   * Normalize a whole tree -- this method assumes that the argument
-   * that it is passed is the root of a complete <code>Tree</code>.
-   * It is normally implemented as a Tree-walking routine. <p>
-   * This method may return <code>null</code>. This is interpreted to
-   * mean that this is a tree that should not be included in further
-   * processing.  PennTreeReader recognizes this return value, and
-   * asks for another Tree from the input Reader.
-   *
-   * @param tree The tree to be normalized
-   * @param tf   the TreeFactory to create new nodes (if needed)
-   * @return Tree the normalized tree
-   */
-  public Tree normalizeWholeTree(Tree tree, TreeFactory tf) {
-    return tree;
-  }
-
-  private static final long serialVersionUID = 1540681875853883387L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreePrint.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreePrint.java
deleted file mode 100644
index f7d7421..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreePrint.java
+++ /dev/null
@@ -1,1035 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.*;
-import edu.stanford.nlp.ling.CoreAnnotations.CopyAnnotation;
-import edu.stanford.nlp.process.PTBTokenizer;
-import edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap;
-import edu.stanford.nlp.util.*;
-import edu.stanford.nlp.util.XMLUtils;
-
-import java.io.*;
-import java.util.*;
-
-
-/**
- * A class for customizing the print method(s) for a
- * <code>edu.stanford.nlp.trees.Tree</code> as the output of the
- * parser.  This class supports printing in multiple ways and altering
- * behavior via properties.
- *
- * @author Roger Levy
- * @author Christopher Manning
- * @author Galen Andrew
- */
-public class TreePrint {
-
-  // TODO: Add support for makeCopulaHead as an outputFormatOption here.
-
-  public static final String rootLabelOnlyFormat = "rootSymbolOnly";
-
-  /** The legal output tree formats. */
-  public static final String[] outputTreeFormats = {
-    "penn",
-    "oneline",
-    rootLabelOnlyFormat,
-    "words",
-    "wordsAndTags",
-    "dependencies",
-    "typedDependencies",
-    "typedDependenciesCollapsed",
-    "latexTree",
-    "collocations",
-    "semanticGraph",
-    "conllStyleDependencies",
-    "conll2007"
-  };
-
-  public static final String headMark = "=H";
-
-  private Properties formats;
-  private Properties options;
-
-  private boolean markHeadNodes; // = false;
-  private boolean lexicalize; // = false;
-  private boolean removeEmpty;
-  private boolean ptb2text;
-  private boolean stem; // = false;
-  private boolean transChinese; // = false;
-  private boolean basicDependencies;
-  private boolean collapsedDependencies;
-  private boolean nonCollapsedDependencies;
-  private boolean nonCollapsedDependenciesSeparated;
-  private boolean CCPropagatedDependencies;
-  private boolean treeDependencies;
-
-  private HeadFinder hf;
-  private TreebankLanguagePack tlp;
-  private WordStemmer stemmer;
-  private Filter<Dependency<Label, Label, Object>> dependencyFilter;
-  private Filter<Dependency<Label, Label, Object>> dependencyWordFilter;
-  private GrammaticalStructureFactory gsf;
-
-  /** Pool use of one WordNetConnection.  I don't really know if
-   *  Dan Bikel's WordNet code is thread safe, but it definitely doesn't
-   *  close its files, and too much of our code makes TreePrint objects and
-   *  then drops them on the floor, and so we run out of file handles.
-   *  That is, if this variable isn't static, code crashes.
-   *  Maybe we should change this code to use jwnl(x)?
-   *  CDM July 2006.
-   */
-  private static WordNetConnection wnc;
-
-
-  /** This PrintWriter is used iff the user doesn't pass one in to a
-   *  call to printTree().
-   */
-  private PrintWriter pw = new PrintWriter(System.out, true);
-
-  /** The anglocentric constructor. Should work for English only.
-   *  @param formats The formats to print the tree in.
-   */
-  public TreePrint(String formats) {
-    this(formats, "", new PennTreebankLanguagePack());
-  }
-
-  public TreePrint(String formats, TreebankLanguagePack tlp) {
-    this(formats, "", tlp);
-  }
-
-  public TreePrint(String formats, String options) {
-    this(formats, options, new PennTreebankLanguagePack());
-  }
-
-  public TreePrint(String formats, String options, TreebankLanguagePack tlp) {
-    this(formats, options, tlp, tlp.headFinder());
-  }
-
-  /**
-   * Make a TreePrint instance.
-   *
-   * @param formatString A comma separated list of ways to print each Tree.
-   *                For instance, "penn" or "words,typedDependencies".
-   *                Known formats are: oneline, penn, latexTree, words,
-   *                wordsAndTags, rootSymbolOnly, dependencies,
-   *                typedDependencies, typedDependenciesCollapsed,
-   *                collocations, semanticGraph, conllStyleDependencies,
-   *                conll2007.  The last two are both tab-separated values
-   *                formats.  The latter has a lot more columns filled with
-   *                underscores. All of them print a blank line after
-   *                the output except for oneline.  oneline is also not
-   *                meaningful in XML output (it is ignored: use penn instead).
-   *                (Use of typedDependenciesCollapsed is deprecated.  It
-   *                works but we recommend instead selecting a type of
-   *                dependencies using the optionsString argument.  Note in
-   *                particular that typedDependenciesCollapsed does not do
-   *                CC propagation, which we generally recommend.)
-   * @param optionsString Options that additionally specify how trees are to
-   *                be printed (for instance, whether stemming should be done).
-   *                Known options are: <code>stem, lexicalize, markHeadNodes,
-   *                xml, removeTopBracket, transChinese,
-   *                includePunctuationDependencies, basicDependencies, treeDependencies,
-   *                CCPropagatedDependencies, collapsedDependencies, nonCollapsedDependencies,
-   *                nonCollapsedDependenciesSeparated
-   *                </code>.
-   * @param tlp     The TreebankLanguagePack used to do things like delete
-   *                or ignore punctuation in output
-   * @param hf      The HeadFinder used in printing output
-   */
-  public TreePrint(String formatString, String optionsString, TreebankLanguagePack tlp, HeadFinder hf) {
-    formats = StringUtils.stringToProperties(formatString);
-    options = StringUtils.stringToProperties(optionsString);
-    List<String> okOutputs = Arrays.asList(outputTreeFormats);
-    for (Object formObj : formats.keySet()) {
-      String format = (String) formObj;
-      if ( ! okOutputs.contains(format)) {
-        throw new RuntimeException("Error: output tree format " + format + " not supported. Known formats are: " + okOutputs);
-      }
-    }
-
-    setHeadFinder(hf);
-    this.tlp = tlp;
-    boolean includePunctuationDependencies;
-    includePunctuationDependencies = propertyToBoolean(this.options,
-                                                       "includePunctuationDependencies");
-    Filter<String> puncWordFilter;
-    if (includePunctuationDependencies) {
-      dependencyFilter = Filters.acceptFilter();
-      dependencyWordFilter = Filters.acceptFilter();
-      puncWordFilter = Filters.acceptFilter();
-    } else {
-      dependencyFilter = new Dependencies.DependentPuncTagRejectFilter<Label, Label, Object>(tlp.punctuationTagRejectFilter());
-      dependencyWordFilter = new Dependencies.DependentPuncWordRejectFilter<Label, Label, Object>(tlp.punctuationWordRejectFilter());
-      puncWordFilter = tlp.punctuationWordRejectFilter();
-    }
-    stem = propertyToBoolean(this.options, "stem");
-    if (stem) {
-      stemmer = new WordStemmer();
-    }
-    if (formats.containsKey("typedDependenciesCollapsed") ||
-        formats.containsKey("typedDependencies")) {
-      gsf = tlp.grammaticalStructureFactory(puncWordFilter);
-    }
-
-    lexicalize = propertyToBoolean(this.options, "lexicalize");
-    markHeadNodes = propertyToBoolean(this.options, "markHeadNodes");
-    transChinese = propertyToBoolean(this.options, "transChinese");
-    ptb2text = propertyToBoolean(this.options, "ptb2text");
-    removeEmpty = propertyToBoolean(this.options, "noempty") || ptb2text;
-
-    basicDependencies =  propertyToBoolean(this.options, "basicDependencies");
-    collapsedDependencies = propertyToBoolean(this.options, "collapsedDependencies");
-    nonCollapsedDependencies = propertyToBoolean(this.options, "nonCollapsedDependencies");
-    nonCollapsedDependenciesSeparated = propertyToBoolean(this.options, "nonCollapsedDependenciesSeparated");
-    CCPropagatedDependencies = propertyToBoolean(this.options, "CCPropagatedDependencies");
-    treeDependencies = propertyToBoolean(this.options, "treeDependencies");
-
-    // if no option format for the dependencies is specified, CCPropagated is the default
-    if ( ! basicDependencies && ! collapsedDependencies && ! nonCollapsedDependencies && ! nonCollapsedDependenciesSeparated && ! treeDependencies) {
-      CCPropagatedDependencies = true;
-    }
-  }
-
-
-  private static boolean propertyToBoolean(Properties prop, String key) {
-    return Boolean.parseBoolean(prop.getProperty(key));
-  }
-
-  /**
-   * Prints the tree to the default PrintWriter.
-   * @param t The tree to display
-   */
-  public void printTree(Tree t) {
-    printTree(t, pw);
-  }
-
-  /**
-   * Prints the tree, with an empty ID.
-   * @param t The tree to display
-   * @param pw The PrintWriter to print it to
-   */
-  public void printTree(final Tree t, PrintWriter pw) {
-    printTree(t, "", pw);
-  }
-
-
-  /**
-   * Prints the tree according to the options specified for this instance.
-   * If the tree <code>t</code> is <code>null</code>, then the code prints
-   * a line indicating a skipped tree.  Under the XML option this is
-   * an <code>s</code> element with the <code>skipped</code> attribute having
-   * value <code>true</code>, and, otherwise, it is the token
-   * <code>SENTENCE_SKIPPED_OR_UNPARSABLE</code>.
-   *
-   * @param t The tree to display
-   * @param id A name for this sentence
-   * @param pw Where to display the tree
-   */
-  public void printTree(final Tree t, final String id, final PrintWriter pw) {
-    final boolean inXml = propertyToBoolean(options, "xml");
-    if (t == null) {
-      // Parsing didn't succeed.
-      if (inXml) {
-        pw.print("<s");
-        if (id != null && ! "".equals(id)) {
-          pw.print(" id=\"" + XMLUtils.escapeXML(id) + '\"');
-        }
-        pw.println(" skipped=\"true\"/>");
-        pw.println();
-      } else {
-        pw.println("SENTENCE_SKIPPED_OR_UNPARSABLE");
-      }
-    } else {
-      if (inXml) {
-        pw.print("<s");
-        if (id != null && ! "".equals(id)) {
-          pw.print(" id=\"" + XMLUtils.escapeXML(id) + '\"');
-        }
-        pw.println(">");
-      }
-      printTreeInternal(t, pw, inXml);
-      if (inXml) {
-        pw.println("</s>");
-        pw.println();
-      }
-    }
-  }
-
-
-  /**
-   * Prints the trees according to the options specified for this instance.
-   * If the tree <code>t</code> is <code>null</code>, then the code prints
-   * a line indicating a skipped tree.  Under the XML option this is
-   * an <code>s</code> element with the <code>skipped</code> attribute having
-   * value <code>true</code>, and, otherwise, it is the token
-   * <code>SENTENCE_SKIPPED_OR_UNPARSABLE</code>.
-   *
-   * @param trees The list of trees to display
-   * @param id A name for this sentence
-   * @param pw Where to dislay the tree
-   */
-  public void printTrees(final List<ScoredObject<Tree>> trees, final String id, final PrintWriter pw) {
-    final boolean inXml = propertyToBoolean(options, "xml");
-    int ii = 0;  // incremented before used, so first tree is numbered 1
-    for (ScoredObject<Tree> tp : trees) {
-      ii++;
-      Tree t = tp.object();
-      double score = tp.score();
-
-      if (t == null) {
-        // Parsing didn't succeed.
-        if (inXml) {
-          pw.print("<s");
-          if (id != null && ! "".equals(id)) {
-            pw.print(" id=\"" + XMLUtils.escapeXML(id) + '\"');
-          }
-          pw.print(" n=\"");
-          pw.print(ii);
-          pw.print('\"');
-          pw.print(" score=\"" + score + '\"');
-          pw.println(" skipped=\"true\"/>");
-          pw.println();
-        } else {
-          pw.println("SENTENCE_SKIPPED_OR_UNPARSABLE Parse #" + ii + " with score " + score);
-        }
-      } else {
-        if (inXml) {
-          pw.print("<s");
-          if (id != null && ! "".equals(id)) {
-            pw.print(" id=\"");
-            pw.print(XMLUtils.escapeXML(id));
-            pw.print('\"');
-          }
-          pw.print(" n=\"");
-          pw.print(ii);
-          pw.print('\"');
-          pw.print(" score=\"");
-          pw.print(score);
-          pw.print('\"');
-          pw.println(">");
-        } else {
-          pw.print("# Parse ");
-          pw.print(ii);
-          pw.print(" with score ");
-          pw.println(score);
-        }
-        printTreeInternal(t, pw, inXml);
-        if (inXml) {
-          pw.println("</s>");
-          pw.println();
-        }
-      }
-    }
-  }
-
-
-  /** Print the internal part of a tree having already identified it.
-   *  The ID and outer XML element is printed wrapping this method, but none
-   *  of the internal content.
-   *
-   * @param t The tree to print. Now known to be non-null
-   * @param pw Where to print it to
-   * @param inXml Whether to use XML style printing
-   */
-  private void printTreeInternal(final Tree t, final PrintWriter pw, final boolean inXml) {
-    Tree outputTree = t;
-
-    if (formats.containsKey("conll2007") || removeEmpty) {
-      outputTree = outputTree.prune(new BobChrisTreeNormalizer.EmptyFilter());
-    }
-
-    if (formats.containsKey("words")) {
-      if (inXml) {
-        ArrayList<Label> sentUnstemmed = outputTree.yield();
-        pw.println("  <words>");
-        int i = 1;
-        for (Label w : sentUnstemmed) {
-          pw.println("    <word ind=\"" + i + "\">" + XMLUtils.escapeXML(w.value()) + "</word>");
-          i++;
-        }
-        pw.println("  </words>");
-      } else {
-        String sent = Sentence.listToString(outputTree.yield(), false);
-        if(ptb2text) {
-          pw.println(PTBTokenizer.ptb2Text(sent));
-        } else {
-          pw.println(sent);
-          pw.println();
-        }
-      }
-    }
-
-    if (propertyToBoolean(options, "removeTopBracket")) {
-      String s = outputTree.label().value();
-      if (tlp.isStartSymbol(s)) {
-        if (outputTree.isUnaryRewrite()) {
-          outputTree = outputTree.firstChild();
-        } else {
-          // It's not quite clear what to do if the tree isn't unary at the top
-          // but we then don't strip the ROOT symbol, since that seems closer
-          // than losing part of the tree altogether....
-          System.err.println("TreePrint: can't remove top bracket: not unary");
-        }
-      }
-      // Note that TreePrint is also called on dependency trees that have
-      // a word as the root node, and so we don't error if there isn't
-      // the root symbol at the top; rather we silently assume that this
-      // is a dependency tree!!
-    }
-    if (stem) {
-      stemmer.visitTree(outputTree);
-    }
-    if (lexicalize) {
-      outputTree = Trees.lexicalize(outputTree, hf);
-      Function<Tree, Tree> a =
-        TreeFunctions.getLabeledToDescriptiveCoreLabelTreeFunction();
-      outputTree = a.apply(outputTree);
-    }
-
-    if (formats.containsKey("collocations")) {
-      outputTree = getCollocationProcessedTree(outputTree, hf);
-    }
-
-    if (!lexicalize) { // delexicalize the output tree
-      Function<Tree, Tree> a =
-        TreeFunctions.getLabeledTreeToStringLabeledTreeFunction();
-      outputTree = a.apply(outputTree);
-    }
-
-    Tree outputPSTree = outputTree;  // variant with head-marking, translations
-
-    if (markHeadNodes) {
-      outputPSTree = markHeadNodes(outputPSTree);
-    }
-
-    if (transChinese) {
-      TreeTransformer tt = new TreeTransformer() {
-        public Tree transformTree(Tree t) {
-          t = t.treeSkeletonCopy();
-          for (Tree subtree : t) {
-            if (subtree.isLeaf()) {
-              Label oldLabel = subtree.label();
-              String translation = ChineseEnglishWordMap.getInstance().getFirstTranslation(oldLabel.value());
-              if (translation == null) translation = "[UNK]";
-              Label newLabel = new StringLabel(oldLabel.value() + ':' + translation);
-              subtree.setLabel(newLabel);
-            }
-          }
-          return t;
-        }
-      };
-      outputPSTree = tt.transformTree(outputPSTree);
-    }
-
-    if (propertyToBoolean(options, "xml")) {
-      if (formats.containsKey("wordsAndTags")) {
-        ArrayList<TaggedWord> sent = outputTree.taggedYield();
-        pw.println("  <words pos=\"true\">");
-        int i = 1;
-        for (TaggedWord tw : sent) {
-          pw.println("    <word ind=\"" + i + "\" pos=\"" + XMLUtils.escapeXML(tw.tag()) + "\">" + XMLUtils.escapeXML(tw.word()) + "</word>");
-          i++;
-        }
-        pw.println("  </words>");
-      }
-      if (formats.containsKey("penn")) {
-        pw.println("  <tree style=\"penn\">");
-        StringWriter sw = new StringWriter();
-        PrintWriter psw = new PrintWriter(sw);
-        outputPSTree.pennPrint(psw);
-        pw.print(XMLUtils.escapeXML(sw.toString()));
-        pw.println("  </tree>");
-      }
-      if (formats.containsKey("latexTree")) {
-        pw.println("    <tree style=\"latexTrees\">");
-        pw.println(".[");
-        StringWriter sw = new StringWriter();
-        PrintWriter psw = new PrintWriter(sw);
-        outputTree.indentedListPrint(psw,false);
-        pw.print(XMLUtils.escapeXML(sw.toString()));
-        pw.println(".]");
-        pw.println("  </tree>");
-      }
-      if (formats.containsKey("dependencies")) {
-        Tree indexedTree = outputTree.deepCopy(outputTree.treeFactory(),
-                                                 CoreLabel.factory());
-        indexedTree.indexLeaves();
-        Set<Dependency<Label, Label, Object>> depsSet = indexedTree.mapDependencies(dependencyWordFilter, hf);
-        List<Dependency<Label, Label, Object>> sortedDeps = new ArrayList<Dependency<Label, Label, Object>>(depsSet);
-        Collections.sort(sortedDeps, Dependencies.dependencyIndexComparator());
-        pw.println("<dependencies style=\"untyped\">");
-        for (Dependency<Label, Label, Object> d : sortedDeps) {
-          pw.println(d.toString("xml"));
-        }
-        pw.println("</dependencies>");
-      }
-      if (formats.containsKey("conll2007") || formats.containsKey("conllStyleDependencies")) {
-        System.err.println("The \"conll2007\" and \"conllStyleDependencies\" formats are ignored in xml.");
-      }
-      if (formats.containsKey("typedDependencies")) {
-        GrammaticalStructure gs = gsf.newGrammaticalStructure(outputTree);
-        if (basicDependencies) {
-          print(gs.typedDependencies(), "xml", pw);
-        }
-        if (nonCollapsedDependencies || nonCollapsedDependenciesSeparated) {
-          print(gs.allTypedDependencies(), "xml", pw);
-        }
-        if (collapsedDependencies) {
-          print(gs.typedDependenciesCollapsed(true), "xml", pw);
-        }
-        if (CCPropagatedDependencies) {
-          print(gs.typedDependenciesCCprocessed(true), "xml", pw);
-        }
-        if(treeDependencies) {
-          print(gs.typedDependenciesCollapsedTree(), "xml", pw);
-        }
-      }
-      if (formats.containsKey("typedDependenciesCollapsed")) {
-        GrammaticalStructure gs = gsf.newGrammaticalStructure(outputTree);
-        print(gs.typedDependenciesCCprocessed(true), "xml", pw);
-      }
-
-      // This makes parser require jgrapht.  Bad.
-      // if (formats.containsKey("semanticGraph")) {
-      //  SemanticGraph sg = SemanticGraph.makeFromTree(outputTree, true, false, false, null);
-      //  pw.println(sg.toFormattedString());
-      // }
-    } else {
-      // non-XML printing
-      if (formats.containsKey("wordsAndTags")) {
-        pw.println(Sentence.listToString(outputTree.taggedYield(), false));
-        pw.println();
-      }
-      if (formats.containsKey("oneline")) {
-        pw.println(outputPSTree.toString());
-      }
-      if (formats.containsKey("penn")) {
-        outputPSTree.pennPrint(pw);
-        pw.println();
-      }
-      if (formats.containsKey(rootLabelOnlyFormat)) {
-        pw.println(outputTree.label());
-      }
-      if (formats.containsKey("latexTree")) {
-        pw.println(".[");
-        outputTree.indentedListPrint(pw,false);
-        pw.println(".]");
-      }
-      if (formats.containsKey("dependencies")) {
-        // NB: We need a CyclicCoreLabel here as we use	its "value-index" printing method
-        Tree indexedTree = outputTree.deepCopy(outputTree.treeFactory(),
-                                                 CyclicCoreLabel.factory());
-        indexedTree.indexLeaves();
-        Set<Dependency<Label, Label, Object>> depsSet = indexedTree.mapDependencies(dependencyWordFilter, hf);
-        List<Dependency<Label, Label, Object>> sortedDeps = new ArrayList<Dependency<Label, Label, Object>>(depsSet);
-        Collections.sort(sortedDeps, Dependencies.dependencyIndexComparator());
-        for (Dependency<Label, Label, Object> d : sortedDeps) {
-          pw.println(d.toString("predicate"));
-        }
-        pw.println();
-      }
-      if (formats.containsKey("conll2007")) {
-        // CoNLL-X 2007 format: http://ilk.uvt.nl/conll/#dataformat
-        // wsg: This code should be retained (and not subsumed into EnglishGrammaticalStructure) so
-        //      that dependencies for other languages can be printed.
-        // wsg2011: This code currently ignores the dependency label since the present implementation
-        //          of mapDependencies() returns UnnamedDependency objects.
-        
-        Tree it = outputTree.deepCopy(outputTree.treeFactory(), CoreLabel.factory());
-        it.indexLeaves();
-        
-        List<CoreLabel> tagged = it.taggedLabeledYield();
-        Set<Dependency<Label, Label, Object>> depsSet = it.mapDependencies(dependencyFilter, hf, "root");
-        List<Dependency<Label, Label, Object>> sortedDeps = new ArrayList<Dependency<Label, Label, Object>>(depsSet);
-        Collections.sort(sortedDeps, Dependencies.dependencyIndexComparator());
-
-        for (int i = 0; i < tagged.size(); i++) {
-          CoreLabel w = tagged.get(i);
-          Dependency<Label, Label, Object> d = sortedDeps.get(i);
-          CoreMap dep = (CoreMap) d.dependent();
-          CoreMap gov = (CoreMap) d.governor();
-          
-          Integer depi = dep.get(CoreAnnotations.IndexAnnotation.class);
-          Integer govi = gov.get(CoreAnnotations.IndexAnnotation.class);
-          
-          // Used for both course and fine POS tag fields
-          String tag = PTBTokenizer.ptbToken2Text(w.tag());
-          
-          String word = PTBTokenizer.ptbToken2Text(w.word());
-          String lemma = "_";
-          String feats = "_";
-          String pHead = "_";
-          String pDepRel = "_";
-          String depRel = (govi == 0) ? "ROOT" : "NULL";
-          
-          // The 2007 format has 10 fields
-          pw.printf("%d\t%s\t%s\t%s\t%s\t%s\t%d\t%s\t%s\t%s%n", depi,word,lemma,tag,tag,feats,govi,depRel,pHead,pDepRel);
-        }
-        pw.println();
-      }
-      if (formats.containsKey("conllStyleDependencies")) {
-        // TODO: Rewrite this to output StanfordDependencies using EnglishGrammaticalStructure code
-        BobChrisTreeNormalizer tn = new BobChrisTreeNormalizer();
-        Tree indexedTree = outputTree.deepCopy(outputTree.treeFactory(),
-                                                 CoreLabel.factory());
-        // TODO: Can the below for-loop be deleted now?  (Now that the HeadFinder knows about NML.)
-        for (Tree node : indexedTree) {
-          if (node.label().value().startsWith("NML")) {
-            node.label().setValue("NP");
-          }
-        }
-
-        indexedTree = tn.normalizeWholeTree(indexedTree, outputTree.treeFactory());
-        indexedTree.indexLeaves();
-        Set<Dependency<Label, Label, Object>> depsSet = null;
-        boolean failed = false;
-        try {
-          depsSet = indexedTree.mapDependencies(dependencyFilter, hf);
-        } catch (Exception e) {
-          failed = true;
-        }
-        if (failed) {
-          System.err.println("failed: ");
-          System.err.println(t);
-          System.err.println();
-        } else {
-          Map<Integer,Integer> deps = new HashMap<Integer, Integer>();
-          for (Dependency<Label, Label, Object> dep : depsSet) {
-            CoreLabel child = (CoreLabel)dep.dependent();
-            CoreLabel parent = (CoreLabel)dep.governor();
-            Integer childIndex = 
-              child.get(CoreAnnotations.IndexAnnotation.class);
-            Integer parentIndex = 
-              parent.get(CoreAnnotations.IndexAnnotation.class);
-//            System.err.println(childIndex+"\t"+parentIndex);
-            deps.put(childIndex, parentIndex);
-          }
-          boolean foundRoot = false;
-          int index = 1;
-          for (Tree node : indexedTree.getLeaves()) {
-            String word = node.label().value();
-            String tag = node.parent(indexedTree).label().value();
-            int parent = 0;
-            if (deps.containsKey(index)) {
-              parent = deps.get(index);
-            } else {
-              if (foundRoot) { throw new RuntimeException(); }
-              foundRoot = true;
-            }
-            pw.println(index+"\t"+word+"\t"+tag+"\t"+parent);
-            index++;
-          }
-          pw.println();
-        }
-      }
-      if (formats.containsKey("typedDependencies")) {
-        GrammaticalStructure gs = gsf.newGrammaticalStructure(outputTree);
-        if (basicDependencies) {
-          print(gs.typedDependencies(), pw);
-        }
-        if (nonCollapsedDependencies) {
-          print(gs.allTypedDependencies(), pw);
-        }
-        if (nonCollapsedDependenciesSeparated) {
-          print(gs.allTypedDependencies(), "separator", pw);
-        }
-        if (collapsedDependencies) {
-          print(gs.typedDependenciesCollapsed(true), pw);
-        }
-        if (CCPropagatedDependencies) {
-          print(gs.typedDependenciesCCprocessed(true), pw);
-        }
-        if (treeDependencies) {
-          print(gs.typedDependenciesCollapsedTree(), pw);
-        }
-      }
-      if (formats.containsKey("typedDependenciesCollapsed")) {
-        GrammaticalStructure gs = gsf.newGrammaticalStructure(outputTree);
-        print(gs.typedDependenciesCCprocessed(true), pw);
-      }
-      // This makes parser require jgrapht.  Bad
-      // if (formats.containsKey("semanticGraph")) {
-      //  SemanticGraph sg = SemanticGraph.makeFromTree(outputTree, true, false, false, null);
-      //  pw.println(sg.toFormattedString());
-      // }
-    }
-
-    // flush to make sure we see all output
-    pw.flush();
-  }
-
-
-  /** For the input tree, collapse any collocations in it that exist in
-   *  WordNet and are contiguous in the tree into a single node.
-   *  A single static Wordnet connection is used by all instances of this
-   *  class.  Reflection to check that a Wordnet connection exists.  Otherwise
-   *  we print an error and do nothing.
-   *
-   *  @param tree The input tree.  NOTE: This tree is mangled by this method
-   *  @param hf The head finder to use
-   *  @return The collocation collapsed tree
-   */
-  private static synchronized Tree getCollocationProcessedTree(Tree tree,
-                                                               HeadFinder hf) {
-    if (wnc == null) {
-      try {
-        Class<?> cl = Class.forName("edu.stanford.nlp.trees.WordNetInstance");
-        wnc = (WordNetConnection) cl.newInstance();
-      } catch (Exception e) {
-        System.err.println("Couldn't open WordNet Connection.  Aborting collocation detection.");
-        e.printStackTrace();
-        wnc = null;
-      }
-    }
-    if (wnc != null) {
-      CollocationFinder cf = new CollocationFinder(tree, wnc, hf);
-      tree = cf.getMangledTree();
-    } else {
-      System.err.println("ERROR: WordNetConnection unavailable for collocations.");
-    }
-    return tree;
-  }
-
-
-  public void printHeader(PrintWriter pw, String charset) {
-    if (propertyToBoolean(options, "xml")) {
-      pw.println("<?xml version=\"1.0\" encoding=\"" + charset + "\"?>");
-      pw.println("<corpus>");
-    }
-  }
-
-
-  public void printFooter(PrintWriter pw) {
-    if (propertyToBoolean(options, "xml")) {
-      pw.println("</corpus>");
-    }
-  }
-
-
-  /**
-   * Sets whether or not to stem the Trees using Morphology.
-   * This option is currently only for English.
-   * @param stem Whether to stem each word
-   */
-  public void setStem(boolean stem) {
-    this.stem = stem;
-    if (stem) {
-      stemmer = new WordStemmer();
-    } else {
-      stemmer = null;
-    }
-  }
-
-  /**
-   * Set the HeadFinder to be used for lexicalizing trees.  Relevant
-   * if the output is to be lexicalized.  By default,
-   * <code>ModCollinsHeadFinder</code> is used.
-   * @param hf The HeadFinder to use
-   */
-  public final void setHeadFinder(HeadFinder hf) {
-    this.hf = hf;
-  }
-
-  public final HeadFinder getHeadFinder() {
-    return hf;
-  }
-
-
-  /**
-   * Sets the default print writer for printing trees with the instance.
-   * Unless this is set, the default is <code>System.out</code>.
-   * @param pw The PrintWriter to use for output by default
-   */
-  public void setPrintWriter(PrintWriter pw) {
-    this.pw = pw;
-  }
-
-  public PrintWriter getPrintWriter() {
-    return pw;
-  }
-
-  public Tree markHeadNodes(Tree t) {
-    return markHeadNodes(t, null);
-  }
-
-  private Tree markHeadNodes(Tree t, Tree head) {
-    if (t.isLeaf()) {
-      return t; // don't worry about head-marking leaves
-    }
-    Label newLabel;
-    if (t == head) {
-      newLabel = headMark(t.label());
-    } else {
-      newLabel = t.label();
-    }
-    Tree newHead = hf.determineHead(t);
-    return t.treeFactory().newTreeNode(newLabel, Arrays.asList(headMarkChildren(t, newHead)));
-  }
-
-  private static Label headMark(Label l) {
-    Label l1 = l.labelFactory().newLabel(l);
-    l1.setValue(l1.value() + headMark);
-    return l1;
-  }
-
-  private Tree[] headMarkChildren(Tree t, Tree head) {
-    Tree[] kids = t.children();
-    Tree[] newKids = new Tree[kids.length];
-    for (int i = 0, n = kids.length; i < n; i++) {
-      newKids[i] = markHeadNodes(kids[i], head);
-    }
-    return newKids;
-  }
-
-  /** This provides a simple main method for calling TreePrint.
-   *  Flags supported are:
-   *  <ol>
-   *  <li> -format format (like -outputFormat of parser, default "penn")
-   *  <li> -options options (like -outputFormatOptions of parser, default "")
-   *  <li> -tLP class (the TreebankLanguagePack, default "edu.stanford.nlp.tree.PennTreebankLanguagePack")
-   *  <li> -hf class (the HeadFinder, default, the one in the class specified by -tLP)
-   *  <li> -useTLPTreeReader (use the treeReaderFactory() inside
-   *       the -tLP class; otherwise a PennTreeReader with no normalization is used)
-   *  </ol>
-   *  The single argument should be a file containing Trees in the format that is either
-   *  Penn Treebank s-expressions or as specified by -useTLPTreeReader and the -tLP class,
-   *  or if there is no such argument, trees are read from stdin and the program runs as a
-   *  filter.
-   *
-   *  @param args Command line arguments, as above.
-   */
-  public static void main(String[] args) {
-    String format = "penn";
-    String options = "";
-    String tlpName = "edu.stanford.nlp.trees.PennTreebankLanguagePack";
-    String hfName = null;
-    Map<String,Integer> flagMap = new HashMap<String,Integer>();
-    flagMap.put("-format", 1);
-    flagMap.put("-options", 1);
-    flagMap.put("-tLP", 1);
-    flagMap.put("-hf", 1);
-    Map<String,String[]> argsMap = StringUtils.argsToMap(args,flagMap);
-    args = argsMap.get(null);
-    if(argsMap.keySet().contains("-format")) {
-      format = argsMap.get("-format")[0];
-    }
-    if(argsMap.keySet().contains("-options")) {
-      options = argsMap.get("-options")[0];
-    }
-    if (argsMap.keySet().contains("-tLP")) {
-      tlpName = argsMap.get("-tLP")[0];
-    }
-    if (argsMap.keySet().contains("-hf")) {
-      hfName = argsMap.get("-hf")[0];
-    }
-    TreebankLanguagePack tlp;
-    try {
-      tlp = (TreebankLanguagePack) Class.forName(tlpName).newInstance();
-    } catch (Exception e) {
-      e.printStackTrace();
-      return;
-    }
-    HeadFinder hf;
-    if (hfName != null) {
-      try {
-        hf = (HeadFinder) Class.forName(hfName).newInstance();
-      } catch (Exception e) {
-        e.printStackTrace();
-        return;
-      }
-    } else {
-      hf = tlp.headFinder();
-    }
-    TreePrint print = new TreePrint(format, options, tlp, (hf == null) ? tlp.headFinder(): hf);
-    Iterator<Tree> i; // initialized below
-    if (args.length > 0) {
-      Treebank trees; // initialized below
-      TreeReaderFactory trf;
-      if (argsMap.keySet().contains("-useTLPTreeReader")) {
-        trf = tlp.treeReaderFactory();
-      } else {
-        trf = new TreeReaderFactory() {
-          public TreeReader newTreeReader(Reader in) {
-            return new PennTreeReader(in, new LabeledScoredTreeFactory(new StringLabelFactory()), new TreeNormalizer());
-          }
-        };
-      }
-      trees = new DiskTreebank(trf);
-      trees.loadPath(args[0]);
-      i = trees.iterator();
-    } else {
-      i = tlp.treeTokenizerFactory().getTokenizer(new BufferedReader(new InputStreamReader(System.in)));
-    }
-    while(i.hasNext()) {
-      print.printTree(i.next());
-    }
-  }
-
-  /**
-   * NO OUTSIDE USE
-   * Returns a String representation of the result of this set of
-   * typed dependencies in a user-specified format.
-   * Currently, three formats are supported:
-   * <dl>
-   * <dt>"plain"</dt>
-   * <dd>(Default.)  Formats the dependencies as logical relations,
-   * as exemplified by the following:
-   * <pre>
-   *  nsubj(died-1, Sam-0)
-   *  tmod(died-1, today-2)
-   *  </pre>
-   * </dd>
-   * <dt>"readable"</dt>
-   * <dd>Formats the dependencies as a table with columns
-   * <code>dependent</code>, <code>relation</code>, and
-   * <code>governor</code>, as exemplified by the following:
-   * <pre>
-   *  Sam-0               nsubj               died-1
-   *  today-2             tmod                died-1
-   *  </pre>
-   * </dd>
-   * <dt>"xml"</dt>
-   * <dd>Formats the dependencies as XML, as exemplified by the following:
-   * <pre>
-   *  &lt;dependencies&gt;
-   *    &lt;dep type="nsubj"&gt;
-   *      &lt;governor idx="1"&gt;died&lt;/governor&gt;
-   *      &lt;dependent idx="0"&gt;Sam&lt;/dependent&gt;
-   *    &lt;/dep&gt;
-   *    &lt;dep type="tmod"&gt;
-   *      &lt;governor idx="1"&gt;died&lt;/governor&gt;
-   *      &lt;dependent idx="2"&gt;today&lt;/dependent&gt;
-   *    &lt;/dep&gt;
-   *  &lt;/dependencies&gt;
-   *  </pre>
-   * </dd>
-   * </dl>
-   *
-   * @param dependencies The TypedDependencies to print
-   * @param format a <code>String</code> specifying the desired format
-   * @return a <code>String</code> representation of the typed
-   *         dependencies in this <code>GrammaticalStructure</code>
-   */
-  private static String toString(Collection<TypedDependency> dependencies, String format) {
-    if (format != null && format.equals("xml")) {
-      return toXMLString(dependencies);
-    } else if (format != null && format.equals("readable")) {
-      return toReadableString(dependencies);
-    } else if (format != null && format.equals("separator")) {
-        return toString(dependencies, true);
-    } else {
-      return toString(dependencies, false);
-    }
-  }
-
-  /**
-   * NO OUTSIDE USE
-   * Returns a String representation of this set of typed dependencies
-   * as exemplified by the following:
-   * <pre>
-   *  tmod(died-6, today-9)
-   *  nsubj(died-6, Sam-3)
-   *  </pre>
-   *
-   * @param dependencies The TypedDependencies to print
-   * @param extraSep boolean indicating whether the extra dependencies have to be printed separately, after the basic ones
-   * @return a <code>String</code> representation of this set of
-   *         typed dependencies
-   */
-  private static String toString(Collection<TypedDependency> dependencies, boolean extraSep) {
-    StringBuilder buf = new StringBuilder();
-    if (extraSep) {
-      List<TypedDependency> extraDeps =  new ArrayList<TypedDependency>();
-      for (TypedDependency td : dependencies) {
-        if (td.extra()) {
-          extraDeps.add(td);
-        }
-        else {
-          buf.append(td.toString()).append('\n');
-        }
-      }
-      // now we print the separator for extra dependencies, and print these if there are some
-      if (!extraDeps.isEmpty()) {
-        buf.append("======\n");
-        for (TypedDependency td : extraDeps) {
-          buf.append(td.toString()).append('\n');
-        }
-      }
-    } else {
-      for (TypedDependency td : dependencies) {
-        buf.append(td.toString()).append('\n');
-      }
-    }
-    return buf.toString();
-  }
-
-  // NO OUTSIDE USE
-  private static String toReadableString(Collection<TypedDependency> dependencies) {
-    StringBuilder buf = new StringBuilder();
-    buf.append(String.format("%-20s%-20s%-20s%n", "dep", "reln", "gov"));
-    buf.append(String.format("%-20s%-20s%-20s%n", "---", "----", "---"));
-    for (TypedDependency td : dependencies) {
-      buf.append(String.format("%-20s%-20s%-20s%n", td.dep(), td.reln(), td.gov()));
-    }
-    return buf.toString();
-  }
-
-  // NO OUTSIDE USE
-  private static String toXMLString(Collection<TypedDependency> dependencies) {
-    StringBuilder buf = new StringBuilder("<dependencies style=\"typed\">\n");
-    for (TypedDependency td : dependencies) {
-      String reln = td.reln().toString();
-      String gov = td.gov().value();
-      int govIdx = td.gov().index();
-      String dep = td.dep().value();
-      int depIdx = td.dep().index();
-      boolean extra = td.extra();
-      // add an attribute if the node is a copy
-      // (this happens in collapsing when different prepositions are conjuncts)
-      String govCopy = "";
-      Integer copyGov = td.gov().label.get(CopyAnnotation.class);
-      if (copyGov != null) {
-        govCopy = " copy=\"" + copyGov + "\"";
-      }
-      String depCopy = "";
-      Integer copyDep = td.dep().label.get(CopyAnnotation.class);
-      if (copyDep != null) {
-        depCopy = " copy=\"" + copyDep + "\"";
-      }
-      // add an attribute if the typed dependency is an extra relation (do not preserve the tree structure)
-      String extraAttr = "";
-      if (extra) {
-        extraAttr = " extra=\"yes\"";
-      }
-      buf.append("  <dep type=\"").append(XMLUtils.escapeXML(reln)).append('\"').append(extraAttr).append(">\n");
-      buf.append("    <governor idx=\"").append(govIdx).append('\"').append(govCopy).append('>').append(XMLUtils.escapeXML(gov)).append("</governor>\n");
-      buf.append("    <dependent idx=\"").append(depIdx).append('\"').append(depCopy).append('>').append(XMLUtils.escapeXML(dep)).append("</dependent>\n");
-      buf.append("  </dep>\n");
-    }
-    buf.append("</dependencies>");
-    return buf.toString();
-  }
-
-  /**
-   * USED BY TREEPRINT AND WSD.SUPWSD.PREPROCESS
-   * Prints this set of typed dependencies to the specified
-   * <code>PrintWriter</code>.
-   * @param dependencies The collection of TypedDependency to print
-   * @param pw Where to print them
-   */
-  public static void print(Collection<TypedDependency> dependencies, PrintWriter pw) {
-    pw.println(toString(dependencies, false));
-  }
-
-  /**
-   * USED BY TREEPRINT
-   * Prints this set of typed dependencies to the specified
-   * <code>PrintWriter</code> in the specified format.
-   * @param dependencies The collection of TypedDependency to print
-   * @param format "xml" or "readable" or other
-   * @param pw Where to print them
-   */
-  public static void print(Collection<TypedDependency> dependencies, String format, PrintWriter pw) {
-    pw.println(toString(dependencies, format));
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeReader.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeReader.java
deleted file mode 100644
index 95685ec..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeReader.java
+++ /dev/null
@@ -1,28 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.IOException;
-
-/**
- * A <code>TreeReader</code> adds functionality to another <code>Reader</code>
- * by reading in Trees, or some descendant class.
- *
- * @author Christopher Manning
- * @author Roger Levy (mod. 2003/01)
- * @version 2003/01
- */
-public interface TreeReader {
-
-  /**
-   * Reads a single tree.
-   *
-   * @return A single tree, or <code>null</code> at end of file.
-   */
-  public Tree readTree() throws IOException;
-
-
-  /**
-   * Close the Reader behind this <code>TreeReader</code>.
-   */
-  public void close() throws IOException;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeReaderFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeReaderFactory.java
deleted file mode 100644
index 7524aed..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeReaderFactory.java
+++ /dev/null
@@ -1,22 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.Reader;
-
-/**
- * A <code>TreeReaderFactory</code> is a factory for creating objects of
- * class <code>TreeReader</code>, or some descendant class.
- *
- * @author Christopher Manning
- */
-public interface TreeReaderFactory {
-
-  /**
-   * Create a new <code>TreeReader</code> using the provided
-   * <code>Reader</code>.
-   *
-   * @param in The <code>Reader</code> to build on
-   * @return The new TreeReader
-   */
-  public TreeReader newTreeReader(Reader in);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeTokenizerFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeTokenizerFactory.java
deleted file mode 100644
index 11039a2..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeTokenizerFactory.java
+++ /dev/null
@@ -1,52 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.objectbank.TokenizerFactory;
-import edu.stanford.nlp.process.Tokenizer;
-import edu.stanford.nlp.process.AbstractTokenizer;
-
-import java.io.Reader;
-import java.io.IOException;
-import java.util.Iterator;
-
-/** Wrapper for TreeReaderFactory.  Any IOException in the readTree() method
- *  of the TreeReader will result in a null
- *  tree returned.
- *
- *  @author Roger Levy (rog@stanford.edu)
- *  @author javanlp
- */
-public class TreeTokenizerFactory implements TokenizerFactory<Tree> {
-
-  /** Create a TreeTokenizerFactory from a TreeReaderFactory. */
-  public TreeTokenizerFactory(TreeReaderFactory trf) {
-    this.trf = trf;
-  }
-
-  private TreeReaderFactory trf;
-
-  /** Gets a tokenizer from a reader.*/
-  public Tokenizer<Tree> getTokenizer(final Reader r) {
-    return new AbstractTokenizer<Tree>() {
-      TreeReader tr = trf.newTreeReader(r);
-      @Override
-      public Tree getNext() {
-        try {
-          return tr.readTree();
-        }
-        catch(IOException e) {
-          System.err.println("Error in reading tree.");
-          return null;
-        }
-      }
-    };
-  }
-
-  /** Same as getTokenizer().  */
-  public Iterator<Tree> getIterator(Reader r) {
-    return null;
-  }
-
-  public void setOptions(String options) {
-    //Silently ignore
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeTransformer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeTransformer.java
deleted file mode 100644
index d237b91..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeTransformer.java
+++ /dev/null
@@ -1,26 +0,0 @@
-package edu.stanford.nlp.trees;
-
-/**
- * This is a simple interface for a function that alters a
- * local <code>Tree</code>.
- *
- * @author Christopher Manning.
- */
-public interface TreeTransformer {
-
-  /**
-   * Does whatever one needs to do to a particular tree.
-   * This routine is passed a whole <code>Tree</code>, and could itself
-   * work recursively, but the canonical usage is to invoke this method
-   * via the <code>Tree.transform()</code> method, which will apply the
-   * transformer in a bottom-up manner to each local <code>Tree</code>,
-   * and hence the implementation of <code>TreeTransformer</code> should
-   * merely examine and change a local (one-level) <code>Tree</code>.
-   *
-   * @param t  A tree.  Classes implementing this interface can assume
-   *           that the tree passed in is not <code>null</code>.
-   * @return the transformed <code>Tree</code>
-   */
-  public Tree transformTree(Tree t); 
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeVisitor.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeVisitor.java
deleted file mode 100644
index d5487a2..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreeVisitor.java
+++ /dev/null
@@ -1,24 +0,0 @@
-package edu.stanford.nlp.trees;
-
-/**
- * This is a simple strategy-type interface for operations that are applied to
- * <code>Tree</code>. It typically is called iteratively over
- * trees in a <code>Treebank</code>.  The convention is for <code>TreeVisitor</code> implementing
- * classes not to affect <code>Tree</code> instances they operate on, but to accomplish things via
- * side effects (like counting statistics over trees, etc.).
- *
- * @author Christopher Manning
- * @author Roger Levy
- */
-public interface TreeVisitor {
-
-  /**
-   * Does whatever one needs to do to a particular parse tree.
-   *
-   * @param t A tree.  Classes implementing this interface can assume
-   *          that the tree passed in is not <code>null</code>.
-   */
-  public void visitTree(Tree t);
-
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Treebank.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Treebank.java
deleted file mode 100644
index cb629c1..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Treebank.java
+++ /dev/null
@@ -1,494 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.io.ExtensionFileFilter;
-import edu.stanford.nlp.stats.ClassicCounter;
-import edu.stanford.nlp.stats.Counters;
-import edu.stanford.nlp.util.Sets;
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.StringLabel;
-
-import java.io.*;
-import java.text.NumberFormat;
-import java.util.AbstractCollection;
-import java.util.Arrays;
-import java.util.HashSet;
-import java.util.Set;
-
-
-/**
- * A <code>Treebank</code> object provides access to a corpus of examples with
- * given tree structures.
- * This class now implements the Collection interface. However, it may offer
- * less than the full power of the Collection interface: some Treebanks are
- * read only, and so may throw the UnsupportedOperationException.
- *
- * @author Christopher Manning
- * @author Roger Levy (added encoding variable and method)
- */
-public abstract class Treebank extends AbstractCollection<Tree> {
-
-  /**
-   * Stores the <code>TreeReaderFactory</code> that will be used to
-   * create a <code>TreeReader</code> to process a file of trees.
-   */
-  private TreeReaderFactory trf;
-
-  /**
-   * Stores the charset encoding of the Treebank on disk.
-   */
-  private String encoding = TreebankLanguagePack.DEFAULT_ENCODING;
-
-  public static final String DEFAULT_TREE_FILE_SUFFIX = "mrg";
-
-  /**
-   * Create a new Treebank (using a LabeledScoredTreeReaderFactory).
-   */
-  public Treebank() {
-    this(new LabeledScoredTreeReaderFactory());
-  }
-
-
-  /**
-   * Create a new Treebank.
-   *
-   * @param trf the factory class to be called to create a new
-   *            <code>TreeReader</code>
-   */
-  public Treebank(TreeReaderFactory trf) {
-    this.trf = trf;
-  }
-
-
-  /**
-   * Create a new Treebank.
-   *
-   * @param trf      the factory class to be called to create a new
-   *                 <code>TreeReader</code>
-   * @param encoding The charset encoding to use for treebank file decoding
-   */
-  public Treebank(TreeReaderFactory trf, String encoding) {
-    this.trf = trf;
-    this.encoding = encoding;
-  }
-
-
-  /**
-   * Create a new Treebank.
-   *
-   * @param initialCapacity The initial size of the underlying Collection,
-   *                        (if a Collection-based storage mechanism is being provided)
-   */
-  public Treebank(int initialCapacity) {
-    this(initialCapacity, new LabeledScoredTreeReaderFactory());
-  }
-
-
-  /**
-   * Create a new Treebank.
-   *
-   * @param initialCapacity The initial size of the underlying Collection,
-   *                        (if a Collection-based storage mechanism is being provided)
-   * @param trf             the factory class to be called to create a new
-   *                        <code>TreeReader</code>
-   */
-  @SuppressWarnings({"UnusedDeclaration"})
-  public Treebank(int initialCapacity, TreeReaderFactory trf) {
-    this.trf = trf;
-  }
-
-
-  /**
-   * Get the <code>TreeReaderFactory</code> for a <code>Treebank</code> --
-   * this method is provided in order to make the
-   * <code>TreeReaderFactory</code> available to subclasses.
-   *
-   * @return The TreeReaderFactory
-   */
-  protected TreeReaderFactory treeReaderFactory() {
-    return trf;
-  }
-
-
-  /**
-   * Returns the encoding in use for treebank file bytestream access.
-   *
-   * @return The encoding in use for treebank file bytestream access.
-   */
-  public String encoding() {
-    return encoding;
-  }
-
-
-  /**
-   * Empty a <code>Treebank</code>.
-   */
-  @Override
-  public abstract void clear();
-
-
-  /**
-   * Load a sequence of trees from given directory and its subdirectories.
-   * Trees should reside in files with the suffix "mrg".
-   * Or: load a single file with the given pathName (including extension)
-   *
-   * @param pathName file or directory name
-   */
-  public void loadPath(String pathName) {
-    loadPath(new File(pathName));
-  }
-
-
-  /**
-   * Load a sequence of trees from given file or directory and its subdirectories.
-   * Either this loads from a directory (tree) and
-   * trees must reside in files with the suffix "mrg" (this is an English
-   * Penn Treebank holdover!),
-   * or it loads a single file with the given path (including extension)
-   *
-   * @param path File specification
-   */
-  public void loadPath(File path) {
-    loadPath(path, DEFAULT_TREE_FILE_SUFFIX, true);
-  }
-
-
-  /**
-   * Load trees from given directory.
-   *
-   * @param pathName    File or directory name
-   * @param suffix      Extension of files to load: If <code>pathName</code>
-   *                    is a directory, then, if this is
-   *                    non-<code>null</code>, all and only files ending in "." followed
-   *                    by this extension will be loaded; if it is <code>null</code>,
-   *                    all files in directories will be loaded.  If <code>pathName</code>
-   *                    is not a directory, this parameter is ignored.
-   * @param recursively descend into subdirectories as well
-   */
-  public void loadPath(String pathName, String suffix, boolean recursively) {
-    loadPath(new File(pathName), new ExtensionFileFilter(suffix, recursively));
-  }
-
-
-  /**
-   * Load trees from given directory.
-   *
-   * @param path        file or directory to load from
-   * @param suffix      suffix of files to load
-   * @param recursively descend into subdirectories as well
-   */
-  public void loadPath(File path, String suffix, boolean recursively) {
-    loadPath(path, new ExtensionFileFilter(suffix, recursively));
-  }
-
-
-  /**
-   * Load a sequence of trees from given directory and its subdirectories
-   * which match the file filter.
-   * Or: load a single file with the given pathName (including extension)
-   *
-   * @param pathName file or directory name
-   * @param filt     A filter used to determine which files match
-   */
-  public void loadPath(String pathName, FileFilter filt) {
-    loadPath(new File(pathName), filt);
-  }
-
-
-  /**
-   * Load trees from given path specification.
-   *
-   * @param path file or directory to load from
-   * @param filt a FilenameFilter of files to load
-   */
-  public abstract void loadPath(File path, FileFilter filt);
-
-  /**
-   * Apply a TreeVisitor to each tree in the Treebank.
-   * For all current implementations of Treebank, this is the fastest
-   * way to traverse all the trees in the Treebank.
-   *
-   * @param tp The TreeVisitor to be applied
-   */
-  public abstract void apply(TreeVisitor tp);
-
-
-  /**
-   * Return a Treebank (actually a TransformingTreebank) where each
-   * Tree in the current treebank has been transformed using the
-   * TreeTransformer.  The argument Treebank is unchanged (assuming
-   * that the TreeTransformer correctly doesn't change input Trees).
-   *
-   * @param treeTrans The TreeTransformer to use
-   * @return A Treebank (actually a TransformingTreebank) where each
-   * Tree in the current treebank has been transformed using the
-   * TreeTransformer.
-   */
-  public Treebank transform(TreeTransformer treeTrans) {
-    return new TransformingTreebank(this, treeTrans);
-  }
-
-
-  /**
-   * Return the whole treebank as a series of big bracketed lists.
-   * Calling this is a really bad idea if your treebank is large.
-   */
-  @Override
-  public String toString() {
-    final StringBuilder sb = new StringBuilder();
-    apply(new TreeVisitor() {
-      public void visitTree(Tree t) {
-        sb.append(t.toString());
-        sb.append('\n');
-      }
-    });
-    return sb.toString();
-  }
-
-
-  private static final class CounterTreeProcessor implements TreeVisitor {
-    int i; // = 0;
-
-    public void visitTree(Tree t) {
-      i++;
-    }
-
-    public int total() {
-      return i;
-    }
-  }
-
-
-  /**
-   * Returns the size of the Treebank.
-   *
-   * @return size How many trees are in the treebank
-   */
-  @Override
-  public int size() {
-    CounterTreeProcessor counter = new CounterTreeProcessor();
-    apply(counter);
-    return counter.total();
-  }
-
-
-  /** Divide a Treebank into 3, by taking every 9th sentence for the dev
-   *  set and every 10th for the test set.  Penn people do this.
-   */
-  public void decimate(Writer trainW, Writer devW, Writer testW) throws IOException {
-    PrintWriter trainPW = new PrintWriter(trainW, true);
-    PrintWriter devPW = new PrintWriter(devW, true);
-    PrintWriter testPW = new PrintWriter(testW, true);
-    int i = 0;
-    for (Tree t : this) {
-      if (i == 8) {
-        t.pennPrint(devPW);
-      } else if (i == 9) {
-        t.pennPrint(testPW);
-      } else {
-        t.pennPrint(trainPW);
-      }
-      i = (i+1) % 10;
-    }
-  }
-
-  /**
-   * Return various statistics about the treebank (number of sentences,
-   * words, tag set, etc.).
-   *
-   * @return A String with various statistics about the treebank (number of
-   * sentences, words, tag set, etc.).
-   */
-  public String textualSummary() {
-    return textualSummary(null);
-  }
-
-  /**
-   * Return various statistics about the treebank (number of sentences,
-   * words, tag set, etc.).
-   *
-   * @param tlp The TreebankLanguagePack used to determine punctuation and an
-   *            appropriate character encoding
-   * @return A big string for human consumption describing the treebank
-   */
-  public String textualSummary(TreebankLanguagePack tlp) {
-    int numTrees = 0;
-    int numTreesLE40 = 0;
-    int numNonUnaryRoots = 0;
-    ClassicCounter<Tree> nonUnaries = new ClassicCounter<Tree>();
-    ClassicCounter<String> roots = new ClassicCounter<String>();
-    ClassicCounter<String> starts = new ClassicCounter<String>();
-    ClassicCounter<String> puncts = new ClassicCounter<String>();
-    int numUnenclosedLeaves = 0;
-    int numLeaves = 0;
-    int numNonPhrasal = 0;
-    int numPreTerminalWithMultipleChildren = 0;
-    int numWords = 0;
-    int numTags = 0;
-    int shortestSentence = Integer.MAX_VALUE;
-    int longestSentence = 0;
-    int numNullLabel = 0;
-    Set<String> words = new HashSet<String>();
-    ClassicCounter<String> tags = new ClassicCounter<String>();
-    ClassicCounter<String> cats = new ClassicCounter<String>();
-    Tree leafEg = null;
-    Tree preTerminalMultipleChildrenEg = null;
-    Tree nullLabelEg = null;
-    for (Tree t : this) {
-      roots.incrementCount(t.value());
-      numTrees++;
-      int leng = t.yield().size();
-      if (leng <= 40) {
-        numTreesLE40++;
-      }
-      if (leng < shortestSentence) {
-        shortestSentence = leng;
-      }
-      if (leng > longestSentence) {
-        longestSentence = leng;
-      }
-      if (t.numChildren() > 1) {
-        if (numNonUnaryRoots < 100) {
-          nonUnaries.incrementCount(t.localTree());
-        }
-        numNonUnaryRoots++;
-      } else if (t.isLeaf()) {
-        numUnenclosedLeaves++;
-      } else {
-        Tree t2 = t.firstChild();
-        if (t2.isLeaf()) {
-          numLeaves++;
-          leafEg = t;
-        } else if (t2.isPreTerminal()) {
-          numNonPhrasal++;
-        }
-        starts.incrementCount(t2.value());
-      }
-      for (Tree subtree : t) {
-        Label lab = subtree.label();
-        if (lab == null || lab.value() == null || "".equals(lab.value())) {
-          if (numNullLabel == 0) {
-            nullLabelEg = subtree;
-          }
-          numNullLabel++;
-          if (lab == null) {
-            subtree.setLabel(new StringLabel(""));
-          } else if (lab.value() == null) {
-            subtree.label().setValue("");
-          }
-        }
-        if (subtree.isLeaf()) {
-          numWords++;
-          words.add(subtree.value());
-        } else if (subtree.isPreTerminal()) {
-          numTags++;
-          tags.incrementCount(subtree.value());
-          if (tlp != null && tlp.isPunctuationTag(subtree.value())) {
-            puncts.incrementCount(subtree.firstChild().value());
-          }
-        } else if (subtree.isPhrasal()) {
-          boolean hasLeafChild = false;
-          for (Tree kt : subtree.children()) {
-            if (kt.isLeaf()) {
-              hasLeafChild = true;
-            }
-          }
-          if (hasLeafChild) {
-            numPreTerminalWithMultipleChildren++;
-            if (preTerminalMultipleChildrenEg == null) {
-              preTerminalMultipleChildrenEg = subtree;
-            }
-          }
-          cats.incrementCount(subtree.value());
-        } else {
-          throw new IllegalStateException("Treebank: Bad tree in treebank!: " + subtree);
-        }
-      }
-    }
-    StringWriter sw = new StringWriter(2000);
-    PrintWriter pw = new PrintWriter(sw);
-    NumberFormat nf = NumberFormat.getNumberInstance();
-    nf.setMaximumFractionDigits(0);
-    pw.println("Treebank has " + numTrees + " trees (" + numTreesLE40 + " of length <= 40) and " + numWords + " words (tokens)");
-    if (numTrees > 0) {
-      if (numTags != numWords) {
-        pw.println("  Warning! numTags differs and is " + numTags);
-      }
-      if (roots.size() == 1) {
-        String root = (String) roots.keySet().toArray()[0];
-        pw.println("  The root category is: " + root);
-      } else {
-        pw.println("  Warning! " + roots.size() + " different roots in treebank: " + Counters.toString(roots, nf));
-      }
-      if (numNonUnaryRoots > 0) {
-        pw.print("  Warning! " + numNonUnaryRoots + " trees without unary initial rewrite.  ");
-        if (numNonUnaryRoots > 100) {
-          pw.print("First 100 ");
-        }
-        pw.println("Rewrites: " + Counters.toString(nonUnaries, nf));
-      }
-      if (numUnenclosedLeaves > 0 || numLeaves > 0 || numNonPhrasal > 0) {
-        pw.println("  Warning! Non-phrasal trees: " + numUnenclosedLeaves + " bare leaves; " + numLeaves + " root rewrites as leaf; and " + numNonPhrasal + " root rewrites as tagged word");
-        if (numLeaves > 0) {
-          pw.println("  Example bad root rewrites as leaf: " + leafEg);
-        }
-      }
-      if (numNullLabel > 0) {
-        pw.println("  Warning!  " + numNullLabel + " tree nodes with null or empty string labels, e.g.:");
-        pw.println("    " + nullLabelEg);
-      }
-      if (numPreTerminalWithMultipleChildren > 0) {
-        pw.println("  Warning! " + numPreTerminalWithMultipleChildren + " preterminal nodes with multiple children.");
-        pw.println("    Example: " + preTerminalMultipleChildrenEg);
-      }
-      pw.println("  Sentences range from " + shortestSentence + " to " + longestSentence + " words, with an average length of " + (((numWords * 100) / numTrees) / 100.0) + " words.");
-      pw.println("  " + cats.size() + " phrasal category types, " + tags.size() + " tag types, and " + words.size() + " word types");
-      String[] empties = new String[] {"*", "0", "*T*", "*RNR*", "*U*",
-              "*?*", "*EXP*", "*ICH*", "*NOT*", "*PPA*",
-              "*OP*", "*pro*", "*PRO*"};
-      // What a dopey choice using 0 as an empty element name!!
-      // The problem with the below is that words aren't turned into a basic
-      // category, but empties commonly are indexed....  Would need to look
-      // for them with a suffix of -[0-9]+
-      Set<String> knownEmpties = new HashSet<String>(Arrays.asList(empties));
-      Set<String> emptiesIntersection = Sets.intersection(words, knownEmpties);
-      if ( ! emptiesIntersection.isEmpty()) {
-        pw.println("  Caution! " + emptiesIntersection.size() +
-                " word types are known empty elements: " +
-                emptiesIntersection);
-      }
-      Set<String> joint = Sets.intersection(cats.keySet(), tags.keySet());
-      if ( ! joint.isEmpty()) {
-        pw.println("  Warning! " + joint.size() + " items are tags and categories: " + joint);
-      }
-      for (String cat : cats.keySet()) {
-        if (cat != null && cat.contains("@")) {
-          pw.println("  Warning!!  Stanford Parser does not work with categories containing '@' like: " + cat);
-          break;
-        }
-      }
-      for (String cat : tags.keySet()) {
-        if (cat != null && cat.contains("@")) {
-          pw.println("  Warning!!  Stanford Parser does not work with tags containing '@' like: " + cat);
-          break;
-        }
-      }
-      pw.println("    Cats: " + Counters.toString(cats, nf));
-      pw.println("    Tags: " + Counters.toString(tags, nf));
-      pw.println("    " + starts.size() + " start categories: " + Counters.toString(starts, nf));
-      if ( ! puncts.isEmpty()) {
-        pw.println("    Puncts: " + Counters.toString(puncts, nf));
-      }
-    }
-    return sw.toString();
-  }
-
-
-  /**
-   * This operation isn't supported for a Treebank.  Tell them immediately.
-   */
-  @Override
-  public boolean remove(Object o) {
-    throw new UnsupportedOperationException("Treebank is read-only");
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreebankLanguagePack.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreebankLanguagePack.java
deleted file mode 100644
index 6dc71ba..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TreebankLanguagePack.java
+++ /dev/null
@@ -1,406 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.objectbank.TokenizerFactory;
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.util.Filter;
-import edu.stanford.nlp.international.morph.MorphoFeatureSpecification;
-import edu.stanford.nlp.ling.HasWord;
-
-import java.io.Serializable;
-
-
-/**
- * This interface specifies language/treebank specific information for a
- * Treebank, which a parser or other treebank user might need to know. <p>
- * <p/>
- * Some of this is fixed for a (treebank,language) pair, but some of it
- * reflects feature extraction decisions, so it can be sensible to have
- * multiple implementations of this interface for the same
- * (treebank,language) pair. <p>
- * <p/>
- * So far this covers punctuation, character encodings, and characters
- * reserved for label annotations.  It should probably be expanded to
- * cover other stuff (unknown words?). <p>
- * <p/>
- * Various methods in this class return arrays.  You should treat them
- * as read-only, even though one cannot enforce that in Java. <p>
- * <p/>
- * Implementations in this class do not call basicCategory() on arguments
- * before testing them, so if needed, you should explicitly call
- * basicCategory() yourself before passing arguments to these routines for
- * testing.
- * <p/>
- * This class should be able to be an immutable singleton.  It contains
- * data on various things, but no state.  At some point we should make it
- * a real immutable singleton.
- *
- * @author Christopher Manning
- * @version 1.1, Mar 2003
- */
-public interface TreebankLanguagePack extends Serializable {
-
-  /**
-   * Use this as the default encoding for Readers and Writers of
-   * Treebank data.
-   */
-  public static final String DEFAULT_ENCODING = "UTF-8";
-
-
-  /**
-   * Accepts a String that is a punctuation
-   * tag name, and rejects everything else.
-   *
-   * @param str The string to check
-   * @return Whether this is a punctuation tag
-   */
-  public boolean isPunctuationTag(String str);
-
-
-  /**
-   * Accepts a String that is a punctuation
-   * word, and rejects everything else.
-   * If one can't tell for sure (as for ' in the Penn Treebank), it
-   * maks the best guess that it can.
-   *
-   * @param str The string to check
-   * @return Whether this is a punctuation word
-   */
-  public boolean isPunctuationWord(String str);
-
-
-  /**
-   * Accepts a String that is a sentence end
-   * punctuation tag, and rejects everything else.
-   *
-   * @param str The string to check
-   * @return Whether this is a sentence final punctuation tag
-   */
-  public boolean isSentenceFinalPunctuationTag(String str);
-
-
-  /**
-   * Accepts a String that is a punctuation
-   * tag that should be ignored by EVALB-style evaluation,
-   * and rejects everything else.
-   * Traditionally, EVALB has ignored a subset of the total set of
-   * punctuation tags in the English Penn Treebank (quotes and
-   * period, comma, colon, etc., but not brackets)
-   *
-   * @param str The string to check
-   * @return Whether this is a EVALB-ignored punctuation tag
-   */
-  public boolean isEvalBIgnoredPunctuationTag(String str);
-
-
-  /**
-   * Return a filter that accepts a String that is a punctuation
-   * tag name, and rejects everything else.
-   *
-   * @return The filter
-   */
-  public Filter<String> punctuationTagAcceptFilter();
-
-
-  /**
-   * Return a filter that rejects a String that is a punctuation
-   * tag name, and accepts everything else.
-   *
-   * @return The filter
-   */
-  public Filter<String> punctuationTagRejectFilter();
-
-  /**
-   * Returns a filter that accepts a String that is a punctuation
-   * word, and rejects everything else.
-   * If one can't tell for sure (as for ' in the Penn Treebank), it
-   * maks the best guess that it can.
-   *
-   * @return The Filter
-   */
-  public Filter<String> punctuationWordAcceptFilter();
-
-
-  /**
-   * Returns a filter that accepts a String that is not a punctuation
-   * word, and rejects punctuation.
-   * If one can't tell for sure (as for ' in the Penn Treebank), it
-   * makes the best guess that it can.
-   *
-   * @return The Filter
-   */
-  public Filter<String> punctuationWordRejectFilter();
-
-
-  /**
-   * Returns a filter that accepts a String that is a sentence end
-   * punctuation tag, and rejects everything else.
-   *
-   * @return The Filter
-   */
-  public Filter<String> sentenceFinalPunctuationTagAcceptFilter();
-
-
-  /**
-   * Returns a filter that accepts a String that is a punctuation
-   * tag that should be ignored by EVALB-style evaluation,
-   * and rejects everything else.
-   * Traditionally, EVALB has ignored a subset of the total set of
-   * punctuation tags in the English Penn Treebank (quotes and
-   * period, comma, colon, etc., but not brackets)
-   *
-   * @return The Filter
-   */
-  public Filter<String> evalBIgnoredPunctuationTagAcceptFilter();
-
-
-  /**
-   * Returns a filter that accepts everything except a String that is a
-   * punctuation tag that should be ignored by EVALB-style evaluation.
-   * Traditionally, EVALB has ignored a subset of the total set of
-   * punctuation tags in the English Penn Treebank (quotes and
-   * period, comma, colon, etc., but not brackets)
-   *
-   * @return The Filter
-   */
-  public Filter<String> evalBIgnoredPunctuationTagRejectFilter();
-
-
-  /**
-   * Returns a String array of punctuation tags for this treebank/language.
-   *
-   * @return The punctuation tags
-   */
-  public String[] punctuationTags();
-
-
-  /**
-   * Returns a String array of punctuation words for this treebank/language.
-   *
-   * @return The punctuation words
-   */
-  public String[] punctuationWords();
-
-
-  /**
-   * Returns a String array of sentence final punctuation tags for this
-   * treebank/language.  The first in the list is assumed to be the most
-   * basic one.
-   *
-   * @return The sentence final punctuation tags
-   */
-  public String[] sentenceFinalPunctuationTags();
-
-
-  /**
-   * Returns a String array of sentence final punctuation words for
-   * this treebank/language.
-   *
-   * @return The punctuation words
-   */
-  public String[] sentenceFinalPunctuationWords();
-
-  /**
-   * Returns a String array of punctuation tags that EVALB-style evaluation
-   * should ignore for this treebank/language.
-   * Traditionally, EVALB has ignored a subset of the total set of
-   * punctuation tags in the English Penn Treebank (quotes and
-   * period, comma, colon, etc., but not brackets)
-   *
-   * @return Whether this is a EVALB-ignored punctuation tag
-   */
-  public String[] evalBIgnoredPunctuationTags();
-
-
-  /**
-   * Return a GrammaticalStructureFactory suitable for this language/treebank.
-   *
-   * @return A GrammaticalStructureFactory suitable for this language/treebank
-   */
-  public GrammaticalStructureFactory grammaticalStructureFactory();
-
-
-  /**
-   * Return a GrammaticalStructureFactory suitable for this language/treebank.
-   *
-   * @param puncFilter A filter which should reject punctuation words (as Strings)
-   * @return A GrammaticalStructureFactory suitable for this language/treebank
-   */
-  public GrammaticalStructureFactory grammaticalStructureFactory(Filter<String> puncFilter);
-
-
-  /**
-   * Return the charset encoding of the Treebank.  See
-   * documentation for the <code>Charset</code> class.
-   *
-   * @return Name of Charset
-   */
-  public String getEncoding();
-
-
-  /**
-   * Return a tokenizer factory which might be suitable for tokenizing text
-   * that will be used with this Treebank/Language pair.  This is for
-   * real text of this language pair, not for reading stuff inside the
-   * treebank files.
-   *
-   * @return A tokenizer
-   */
-  public TokenizerFactory<? extends HasWord> getTokenizerFactory();
-
-  /**
-   * Return an array of characters at which a String should be
-   * truncated to give the basic syntactic category of a label.
-   * The idea here is that Penn treebank style labels follow a syntactic
-   * category with various functional and crossreferencing information
-   * introduced by special characters (such as "NP-SBJ=1").  This would
-   * be truncated to "NP" by the array containing '-' and "=". <br>
-   * Note that these are never deleted as the first character as a label
-   * (so they are okay as one character tags, etc.), but only when
-   * subsequent characters.
-   *
-   * @return An array of characters that set off label name suffixes
-   */
-  public char[] labelAnnotationIntroducingCharacters();
-
-
-  /**
-   * Say whether this character is an annotation introducing
-   * character.
-   *
-   * @param ch A char
-   * @return Whether this char introduces functional annotations
-   */
-  public boolean isLabelAnnotationIntroducingCharacter(char ch);
-
-
-  /**
-   * Returns the basic syntactic category of a String by truncating
-   * stuff after a (non-word-initial) occurrence of one of the
-   * <code>labelAnnotationIntroducingCharacters()</code>.  This
-   * function should work on phrasal category and POS tag labels,
-   * but needn't (and couldn't be expected to) work on arbitrary
-   * Word strings.
-   *
-   * @param category The whole String name of the label
-   * @return The basic category of the String
-   */
-  public String basicCategory(String category);
-
-  /**
-   * Returns the category for a String with everything following
-   * the gf character (which may be language specific) stripped.
-   *
-   * @param category The String name of the label (may previously have had basic category called on it)
-   * @return The String stripped of grammatical functions
-   */
-  public String stripGF(String category);
-
-
-  /**
-   * Returns a {@link Function Function} object that maps Strings to Strings according
-   * to this TreebankLanguagePack's basicCategory method.
-   *
-   * @return the String->String Function object
-   */
-  public Function<String,String> getBasicCategoryFunction();
-
-  /**
-   * Returns the syntactic category and 'function' of a String.
-   * This normally involves truncating numerical coindexation
-   * showing coreference, etc.  By 'function', this means
-   * keeping, say, Penn Treebank functional tags or ICE phrasal functions,
-   * perhaps returning them as <code>category-function</code>.
-   *
-   * @param category The whole String name of the label
-   * @return A String giving the category and function
-   */
-  public String categoryAndFunction(String category);
-
-  /**
-   * Returns a {@link Function Function} object that maps Strings to Strings according
-   * to this TreebankLanguagePack's categoryAndFunction method.
-   *
-   * @return the String->String Function object
-   */
-  public Function<String,String> getCategoryAndFunctionFunction();
-
-  /**
-   * Accepts a String that is a start symbol of the treebank.
-   *
-   * @param str The str to test
-   * @return Whether this is a start symbol
-   */
-  public boolean isStartSymbol(String str);
-
-
-  /**
-   * Return a filter that accepts a String that is a start symbol
-   * of the treebank, and rejects everything else.
-   *
-   * @return The filter
-   */
-  public Filter<String> startSymbolAcceptFilter();
-
-
-  /**
-   * Returns a String array of treebank start symbols.
-   *
-   * @return The start symbols
-   */
-  public String[] startSymbols();
-
-  /**
-   * Returns a String which is the first (perhaps unique) start symbol
-   * of the treebank, or null if none is defined.
-   *
-   * @return The start symbol
-   */
-  public String startSymbol();
-
-
-  /**
-   * Returns the extension of treebank files for this treebank.
-   * This should be passed as an argument to Treebank loading classes.
-   * It might be "mrg" or "fid" or whatever.  Don't include the period.
-   *
-   * @return the extension on files for this treebank
-   */
-  public String treebankFileExtension();
-
-  /**
-   * Sets the grammatical function indicating character to gfCharacter.
-   *
-   * @param gfCharacter Sets the character in label names that sets of
-   *         grammatical function marking (from the phrase label).
-   */
-  public void setGfCharacter(char gfCharacter);
-
-  /** Returns a TreeReaderFactory suitable for general purpose use
-   *  with this language/treebank.
-   *
-   *  @return A TreeReaderFactory suitable for general purpose use
-   *  with this language/treebank.
-   */
-  public TreeReaderFactory treeReaderFactory();
-
-  /** Return a TokenizerFactory for Trees of this language/treebank.
-   *
-   * @return A TokenizerFactory for Trees of this language/treebank.
-   */
-  public TokenizerFactory<Tree> treeTokenizerFactory();
-
-  /**
-   * The HeadFinder to use for your treebank.
-   *
-   * @return A suitable HeadFinder
-   */
-  public abstract HeadFinder headFinder();
-
-
-  /**
-   * The morphological feature specification for the language.
-   *
-   * @return A language-specific MorphoFeatureSpecification
-   */
-  public abstract MorphoFeatureSpecification morphFeatureSpec();
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Trees.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Trees.java
deleted file mode 100644
index b9c75d0..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/Trees.java
+++ /dev/null
@@ -1,767 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.util.MutableInteger;
-import edu.stanford.nlp.util.StringUtils;
-import edu.stanford.nlp.ling.*;
-import edu.stanford.nlp.ling.CoreAnnotations.TagLabelAnnotation;
-import edu.stanford.nlp.movetrees.EmptyTreeLeaf;
-
-import java.util.*;
-import java.io.*;
-
-/**
- * Various static utilities for the <code>Tree</code> class.
- *
- * @author Roger Levy
- * @author Dan Klein
- * @author Aria Haghighi (tree path methods)
- */
-public class Trees {
-
-  private final static LabeledScoredTreeFactory defaultTreeFactory = new LabeledScoredTreeFactory(); 
-
-  private Trees() {}
-
-
-  /**
-   * Returns the positional index of the left edge of a tree <i>t</i>
-   * within a given root, as defined by the size of the yield of all
-   * material preceding <i>t</i>.
-   */
-  public static int leftEdge(Tree t, Tree root) {
-    MutableInteger i = new MutableInteger(0);
-    if (leftEdge(t, root, i)) {
-      return i.intValue();
-    } else {
-      throw new RuntimeException("Tree is not a descendent of root.");
-//      return -1;
-    }
-  }
-
-  static boolean leftEdge(Tree t, Tree t1, MutableInteger i) {
-    if (t == t1) {
-      return true;
-    } else if (t1.isLeaf()) {
-      int j = t1.yield().size(); // so that empties don't add size
-      i.set(i.intValue() + j);
-      return false;
-    } else {
-      Tree[] kids = t1.children();
-      for (int j = 0, n = kids.length; j < n; j++) {
-        if (leftEdge(t, kids[j], i)) {
-          return true;
-        }
-      }
-      return false;
-    }
-  }
-
-  /**
-   * Returns the positional index of the right edge of a tree
-   * <i>t</i> within a given root, as defined by the size of the yield
-   * of all material preceding <i>t</i> plus all the material
-   * contained in <i>t</i>.
-   */
-  public static int rightEdge(Tree t, Tree root) {
-    MutableInteger i = new MutableInteger(root.yield().size());
-    if (rightEdge(t, root, i)) {
-      return i.intValue();
-    } else {
-      throw new RuntimeException("Tree is not a descendent of root.");
-//      return root.yield().size() + 1;
-    }
-  }
-
-  static boolean rightEdge(Tree t, Tree t1, MutableInteger i) {
-    if (t == t1) {
-      return true;
-    } else if (t1.isLeaf()) {
-      int j = t1.yield().size(); // so that empties don't add size
-      i.set(i.intValue() - j);
-      return false;
-    } else {
-      Tree[] kids = t1.children();
-      for (int j = kids.length - 1; j >= 0; j--) {
-        if (rightEdge(t, kids[j], i)) {
-          return true;
-        }
-      }
-      return false;
-    }
-  }
-
-
-  /**
-   * Returns a lexicalized Tree whose Labels are CategoryWordTag
-   * instances, all corresponds to the input tree.
-   */
-  public static Tree lexicalize(Tree t, HeadFinder hf) {
-    Function<Tree,Tree> a = 
-      TreeFunctions.getLabeledTreeToCategoryWordTagTreeFunction();
-    Tree t1 = a.apply(t);
-    t1.percolateHeads(hf);
-    return t1;
-  }
-
-  /**
-   * returns the leaves in a Tree in the order that they're found.
-   */
-  public static List<Tree> leaves(Tree t) {
-    List<Tree> l = new ArrayList<Tree>();
-    leaves(t, l);
-    return l;
-  }
-
-  private static void leaves(Tree t, List<Tree> l) {
-    if (t.isLeaf()) {
-      l.add(t);
-    } else {
-      Tree[] kids = t.children();
-      for (int j = 0, n = kids.length; j < n; j++) {
-        leaves(kids[j], l);
-      }
-    }
-  }
-
-  public static List<Tree> preTerminals(Tree t) {
-    List<Tree> l = new ArrayList<Tree>();
-    preTerminals(t, l);
-    return l;
-  }
-
-  private static void preTerminals(Tree t, List<Tree> l) {
-    if (t.isPreTerminal()) {
-      l.add(t);
-    } else {
-      Tree[] kids = t.children();
-      for (int j = 0, n = kids.length; j < n; j++) {
-        preTerminals(kids[j], l);
-      }
-    }
-  }
-
-
-  /**
-   * returns the labels of the leaves in a Tree in the order that they're found.
-   */
-  public static List<Label> leafLabels(Tree t) {
-    List<Label> l = new ArrayList<Label>();
-    leafLabels(t, l);
-    return l;
-  }
-
-  private static void leafLabels(Tree t, List<Label> l) {
-    if (t.isLeaf()) {
-      l.add(t.label());
-    } else {
-      Tree[] kids = t.children();
-      for (int j = 0, n = kids.length; j < n; j++) {
-        leafLabels(kids[j], l);
-      }
-    }
-  }
-
-  /**
-   * returns the labels of the leaves in a Tree, augmented with POS tags.  assumes that
-   * the labels are CoreLabels.
-   */
-  public static List<CoreLabel> taggedLeafLabels(Tree t) {
-    List<CoreLabel> l = new ArrayList<CoreLabel>();
-    taggedLeafLabels(t, l);
-    return l;
-  }
-
-  private static void taggedLeafLabels(Tree t, List<CoreLabel> l) {
-    if (t.isPreTerminal()) {
-      CoreLabel fl = (CoreLabel)t.getChild(0).label();
-      fl.set(TagLabelAnnotation.class, t.label());
-      l.add(fl);
-    } else {
-      Tree[] kids = t.children();
-      for (int j = 0, n = kids.length; j < n; j++) {
-        taggedLeafLabels(kids[j], l);
-      }
-    }
-  }
-
-  /**
-   * returns true iff <code>head</code> (transitively) heads <code>node</code>
-   */
-  public static boolean heads(Tree head, Tree node, HeadFinder hf) {
-    if (node.isLeaf()) {
-      return false;
-    } else {
-      return heads(head, hf.determineHead(node), hf);
-    }
-  }
-
-
-  /**
-   * returns the maximal projection of <code>head</code> in
-   * <code>root</code> given a {@link HeadFinder}
-   */
-  public static Tree maximalProjection(Tree head, Tree root, HeadFinder hf) {
-    Tree projection = head;
-    if (projection == root) {
-      return root;
-    }
-    Tree parent = projection.parent(root);
-    while (hf.determineHead(parent) == projection) {
-      projection = parent;
-      if (projection == root) {
-        return root;
-      }
-      parent = projection.parent(root);
-    }
-    return projection;
-  }
-
-  /* applies a TreeVisitor to all projections (including the node itself) of a node in a Tree.
-  *  Does nothing if head is not in root.
-  * @return the maximal projection of head in root.
-  */
-  public static Tree applyToProjections(TreeVisitor v, Tree head, Tree root, HeadFinder hf) {
-    Tree projection = head;
-    Tree parent = projection.parent(root);
-    if (parent == null && projection != root) {
-      return null;
-    }
-    v.visitTree(projection);
-    if (projection == root) {
-      return root;
-    }
-    while (hf.determineHead(parent) == projection) {
-      projection = parent;
-      v.visitTree(projection);
-      if (projection == root) {
-        return root;
-      }
-      parent = projection.parent(root);
-    }
-    return projection;
-  }
-
-  /**
-   * gets the <code>n</code>th terminal in <code>tree</code>.  The first terminal is number zero.
-   */
-  public static Tree getTerminal(Tree tree, int n) {
-    return getTerminal(tree, new MutableInteger(0), n);
-  }
-
-  static Tree getTerminal(Tree tree, MutableInteger i, int n) {
-    if (i.intValue() == n) {
-      if (tree.isLeaf()) {
-        return tree;
-      } else {
-        return getTerminal(tree.children()[0], i, n);
-      }
-    } else {
-      if (tree.isLeaf()) {
-        i.set(i.intValue() + tree.yield().size());
-        return null;
-      } else {
-        Tree[] kids = tree.children();
-        for (int j = 0; j < kids.length; j++) {
-          Tree result = getTerminal(kids[j], i, n);
-          if (result != null) {
-            return result;
-          }
-        }
-        return null;
-      }
-    }
-  }
-
-  /**
-   * gets the <code>n</code>th preterminal in <code>tree</code>.  The first terminal is number zero.
-   */
-  public static Tree getPreTerminal(Tree tree, int n) {
-    return getPreTerminal(tree, new MutableInteger(0), n);
-  }
-
-  static Tree getPreTerminal(Tree tree, MutableInteger i, int n) {
-    if (i.intValue() == n) {
-      if (tree.isPreTerminal()) {
-        return tree;
-      } else {
-        return getPreTerminal(tree.children()[0], i, n);
-      }
-    } else {
-      if (tree.isPreTerminal()) {
-        i.set(i.intValue() + tree.yield().size());
-        return null;
-      } else {
-        Tree[] kids = tree.children();
-        for (int j = 0; j < kids.length; j++) {
-          Tree result = getPreTerminal(kids[j], i, n);
-          if (result != null) {
-            return result;
-          }
-        }
-        return null;
-      }
-    }
-  }
-
-  /**
-   * returns the syntactic category of the tree as a list of the syntactic categories of the mother and the daughters
-   */
-  public static List<String> localTreeAsCatList(Tree t) {
-    List<String> l = new ArrayList<String>(t.children().length + 1);
-    l.add(t.label().value());
-    for (int i = 0; i < t.children().length; i++) {
-      l.add(t.children()[i].label().value());
-    }
-    return l;
-  }
-
-  /**
-   * Returns the index of <code>daughter</code> in <code>parent</code> by ==.
-   * Returns -1 if <code>daughter</code> not found.
-   */
-  public static int objectEqualityIndexOf(Tree parent, Tree daughter) {
-    for (int i = 0; i < parent.children().length; i++) {
-      if (daughter == parent.children()[i]) {
-        return i;
-      }
-    }
-    return -1;
-  }
-
-  /** Return information about the objects in this Tree.
-   *  @param t The tree to examine.
-   *  @return A human-readable String
-   */
-  public static String toDebugStructureString(Tree t) {
-    StringBuilder sb = new StringBuilder();
-    String tCl = StringUtils.getShortClassName(t);
-    String tfCl = StringUtils.getShortClassName(t.treeFactory());
-    String lCl = StringUtils.getShortClassName(t.label());
-    String lfCl = StringUtils.getShortClassName(t.label().labelFactory());
-    Set<String> otherClasses = new HashSet<String>();
-    for (Tree st : t) {
-      String stCl = StringUtils.getShortClassName(st);
-      String stfCl = StringUtils.getShortClassName(st.treeFactory());
-      String slCl = StringUtils.getShortClassName(st.label());
-      String slfCl = StringUtils.getShortClassName(st.label().labelFactory());
-
-      if ( ! tCl.equals(stCl)) {
-        otherClasses.add(stCl);
-      }
-      if ( ! tfCl.equals(stfCl)) {
-        otherClasses.add(stfCl);
-      }
-      if ( ! lCl.equals(slCl)) {
-        otherClasses.add(slCl);
-      }
-      if ( ! lfCl.equals(slfCl)) {
-        otherClasses.add(slfCl);
-      }
-    }
-    sb.append("Tree with root of class ").append(tCl).append(" and factory ").append(tfCl);
-    sb.append(" with label class ").append(lCl).append(" and factory ").append(lfCl);
-    if ( ! otherClasses.isEmpty()) {
-      sb.append(" with the following classes also found within the tree: ").append(otherClasses);
-    }
-    return sb.toString();
-  }
-
-
-  /** Turns a sentence into a flat phrasal tree.
-   *  The structure is S -> tag*.  And then each tag goes to a word.
-   *  The tag is either found from the label or made "WD".
-   *  The tag and phrasal node have a StringLabel.
-   *
-   *  @param s The Sentence to make the Tree from
-   *  @return The one phrasal level Tree
-   */
-  public static Tree toFlatTree(ArrayList<HasWord> s) {
-    return toFlatTree(s, new StringLabelFactory());
-  }
-
-  /** Turns a sentence into a flat phrasal tree.
-   *  The structure is S -> tag*.  And then each tag goes to a word.
-   *  The tag is either found from the label or made "WD".
-   *  The tag and phrasal node have a StringLabel.
-   *
-   *  @param s The Sentence to make the Tree from
-   *  @param lf The LabelFactory with which to create the new Tree labels
-   *  @return The one phrasal level Tree
-   */
-  public static Tree toFlatTree(ArrayList<? extends HasWord> s, LabelFactory lf) {
-    List<Tree> daughters = new ArrayList<Tree>(s.size());
-    for (HasWord word : s) {
-      Tree wordNode = new LabeledScoredTreeNode(lf.newLabel(word.word()));
-      if (word instanceof TaggedWord) {
-        TaggedWord taggedWord = (TaggedWord) word;
-        wordNode = new LabeledScoredTreeNode(new StringLabel(taggedWord.tag()), Collections.singletonList(wordNode));
-      } else {
-        wordNode = new LabeledScoredTreeNode(lf.newLabel("WD"), Collections.singletonList(wordNode));
-      }
-      daughters.add(wordNode);
-    }
-    return new LabeledScoredTreeNode(new StringLabel("S"), daughters);
-  }
-
-
-   public static String treeToLatex(Tree t) {
-     StringBuilder connections = new StringBuilder();
-     StringBuilder hierarchy = new StringBuilder();
-     treeToLatexHelper(t,connections,hierarchy,0,1,0);
-     return "\\tree"+hierarchy+ '\n' +connections+ '\n';
-   }
-
-   private static int treeToLatexHelper(Tree t, StringBuilder c, StringBuilder h, int
-n, int
-nextN, int indent) {
-     StringBuilder sb = new StringBuilder();
-     for (int i=0; i<indent; i++)
-       sb.append("  ");
-     h.append('\n').append(sb);
-     h.append("{\\").append(t.isLeaf() ? "" : "n").append("tnode{z").append(n).append("}{").append(t.label()).append('}');
-     if (!t.isLeaf()) {
-       for (int k=0; k<t.children().length; k++) {
-         h.append(", ");
-         c.append("\\nodeconnect{z").append(n).append("}{z").append(nextN).append("}\n");
-         nextN = treeToLatexHelper(t.children()[k],c,h,nextN,nextN+1,indent+1);
-       }
-     }
-     h.append('}');
-     return nextN;
-   }
-
-  public static String treeToLatexEven(Tree t) {
-     StringBuilder connections = new StringBuilder();
-     StringBuilder hierarchy = new StringBuilder();
-     int maxDepth = t.depth();
-     treeToLatexEvenHelper(t,connections,hierarchy,0,1,0,0,maxDepth);
-     return "\\tree"+hierarchy+ '\n' +connections+ '\n';
-   }
-
-  private static int treeToLatexEvenHelper(Tree t, StringBuilder c, StringBuilder h, int n,
-                             int nextN, int indent, int curDepth, int maxDepth) {
-     StringBuilder sb = new StringBuilder();
-     for (int i=0; i<indent; i++)
-       sb.append("  ");
-     h.append('\n').append(sb);
-     int tDepth = t.depth();
-     if (tDepth == 0 && tDepth+curDepth < maxDepth) {
-       for (int pad=0; pad < maxDepth-tDepth-curDepth; pad++) {
-         h.append("{\\ntnode{pad}{}, ");
-       }
-     }
-    h.append("{\\ntnode{z").append(n).append("}{").append(t.label()).append('}');
-     if (!t.isLeaf()) {
-       for (int k=0; k<t.children().length; k++) {
-         h.append(", ");
-         c.append("\\nodeconnect{z").append(n).append("}{z").append(nextN).append("}\n");
-         nextN = treeToLatexEvenHelper(t.children()[k],c,h,nextN,nextN+1,indent+1,curDepth+1,maxDepth);
-       }
-     }
-     if (tDepth == 0 && tDepth+curDepth < maxDepth) {
-       for (int pad=0; pad < maxDepth-tDepth-curDepth; pad++) {
-         h.append('}');
-       }
-     }
-     h.append('}');
-     return nextN;
-   }
-
-   static String texTree(Tree t) {
-     return treeToLatex(t);
-   }
-
-   static String escape(String s) {
-     StringBuilder sb = new StringBuilder();
-     for (int i=0; i<s.length(); i++) {
-       char c = s.charAt(i);
-       if (c == '^')
-         sb.append('\\');
-       sb.append(c);
-       if (c == '^')
-         sb.append("{}");
-     }
-     return sb.toString();
-   }
-
-
-   public static void main(String[] args) throws IOException {
-     int i = 0;
-     while (i < args.length) {
-       Tree tree = Tree.valueOf(args[i]);
-       System.out.println(escape(texTree(tree)));
-       i++;
-     }
-     if (i == 0) {
-       Tree tree = (new PennTreeReader(new BufferedReader(new
-InputStreamReader(System.in)), new LabeledScoredTreeFactory(new
-StringLabelFactory()))).readTree();
-       System.out.println(escape(texTree(tree)));
-     }
-   }
-
-  public static Tree normalizeTree(Tree tree, TreeNormalizer tn, TreeFactory tf) {
-    for (Tree node : tree) {
-      if (node.isLeaf()) {
-        node.label().setValue(tn.normalizeTerminal(node.label().value()));
-      } else {
-        node.label().setValue(tn.normalizeNonterminal(node.label().value()));
-      }
-    }
-    return tn.normalizeWholeTree(tree, tf);
-  }
-
-
-  /**
-   * Gets the <i>i</i>th leaf of a tree from the left.
-   * The leftmost leaf is numbered 0.
-   *
-   * @return The <i>i</i><sup>th</sup> leaf as a Tree, or <code>null</code>
-   *     if there is no such leaf.
-   */
-  public static Tree getLeaf(Tree tree, int i) {
-    int count = -1;
-    for (Tree next : tree) {
-      if (next.isLeaf()) {
-        count++;
-      }
-      if (count == i) {
-        return next;
-      }
-    }
-    return null;
-  }
-
-
-  /**
-   * Get lowest common ancestor of all the nodes in the list with the tree rooted at root
-   */
-  public static Tree getLowestCommonAncestor(List<Tree> nodes, Tree root) {
-    List<List<Tree>> paths = new ArrayList<List<Tree>>();
-    int min = Integer.MAX_VALUE;
-    for (Tree t : nodes) {
-      List<Tree> path = pathFromRoot(t, root);
-      if (path == null) return null;
-      min = Math.min(min, path.size());
-      paths.add(path);
-    }
-    Tree commonAncestor = null;
-    for (int i = 0; i < min; ++i) {
-      Tree ancestor = paths.get(0).get(i);
-      boolean quit = false;
-      for (List<Tree> path : paths) {
-        if (!path.get(i).equals(ancestor)) {
-          quit = true;
-          break;
-        }
-      }
-      if (quit) break;
-      commonAncestor = ancestor;
-    }
-    return commonAncestor;
-  }
-
-
-  /**
-   * returns a list of categories that is the path from Tree from to Tree
-   * to within Tree root.  If either from or to is not in root,
-   * returns null.  Otherwise includes both from and to in the list.
-   */
-  public static List<String> pathNodeToNode(Tree from, Tree to, Tree root) {
-    List<Tree> fromPath = pathFromRoot(from, root);
-    //System.out.println(treeListToCatList(fromPath));
-    if (fromPath == null)
-      return null;
-
-    List<Tree> toPath = pathFromRoot(to, root);
-    //System.out.println(treeListToCatList(toPath));
-    if (toPath == null)
-      return null;
-
-    //System.out.println(treeListToCatList(fromPath));
-    //System.out.println(treeListToCatList(toPath));
-
-
-
-    int last = 0;
-    int min = fromPath.size() <= toPath.size() ? fromPath.size() : toPath.size();
-
-    Tree lastNode = null;
-//     while((! (fromPath.isEmpty() || toPath.isEmpty())) &&  fromPath.get(0).equals(toPath.get(0))) {
-//       lastNode = (Tree) fromPath.remove(0);
-//       toPath.remove(0);
-//     }
-    while (last < min && fromPath.get(last).equals(toPath.get(last))) {
-      lastNode = fromPath.get(last);
-      last++;
-    }
-
-
-    //System.out.println(treeListToCatList(fromPath));
-    //System.out.println(treeListToCatList(toPath));
-    List<String> totalPath = new ArrayList<String>();
-
-
-    for (int i = fromPath.size() - 1; i >= last; i--) {
-      Tree t = fromPath.get(i);
-      totalPath.add("up-" + t.label().value());
-    }
-
-    if (lastNode != null)
-      totalPath.add("up-" + lastNode.label().value());
-
-    for (Tree t: toPath)
-      totalPath.add("down-" + t.label().value());
-
-
-//     for(ListIterator i = fromPath.listIterator(fromPath.size()); i.hasPrevious(); ){
-//       Tree t = (Tree) i.previous();
-//       totalPath.add("up-" + t.label().value());
-//     }
-
-//     if(lastNode != null)
-//     totalPath.add("up-" + lastNode.label().value());
-
-//     for(ListIterator j = toPath.listIterator(); j.hasNext(); ){
-//       Tree t = (Tree) j.next();
-//       totalPath.add("down-" + t.label().value());
-//     }
-
-    return totalPath;
-  }
-
-
-  /**
-   * returns list of tree nodes to root from t.  Includes root and
-   * t. Returns null if tree not found dominated by root
-   */
-  public static List<Tree> pathFromRoot(Tree t, Tree root) {
-    if (t == root) {
-      //if (t.equals(root)) {
-      List<Tree> l = new ArrayList<Tree>(1);
-      l.add(t);
-      return l;
-    } else if (root == null) {
-      return null;
-    }
-    return root.dominationPath(t);
-  }
-
-
-  /**
-   * #### MAJOR UGLINESS #### this is a workaround for the fact that
-   * there's no good way to clone a tree.  Creates a "deep" copy of
-   * the tree with a node-by-node call to treeFactory().  The totally
-   * hacked treeFactory() method in EmptyTreeLeaf should let me get
-   * away with this.
-   */
-  public static Tree safeDeepCopy(Tree t) {
-    Map<Tree, Tree> newToOld = new IdentityHashMap<Tree, Tree>();
-    Map<Tree, Tree> oldToNew = new IdentityHashMap<Tree, Tree>();
-    Tree t1 = copyHelper(t, newToOld, oldToNew);
-    fixEmptyTreeLeafs(t1, newToOld, oldToNew);
-    return t1;
-  }
-
-
-  public static Tree copyHelper(Tree t, Map<Tree, Tree> newToOld, Map<Tree, Tree> oldToNew) {
-    Tree[] kids = t.children();
-    Tree[] newKids = new Tree[kids.length];
-    for (int i = 0, n = kids.length; i < n; i++) {
-      newKids[i] = copyHelper(kids[i], newToOld, oldToNew);
-    }
-    TreeFactory tf = t.treeFactory();
-    if (kids.length == 0) {
-      Tree newLeaf = tf.newLeaf(t.label());
-      newToOld.put(newLeaf, t);
-      oldToNew.put(newLeaf, t);
-      return newLeaf;
-    }
-    Tree newNode = tf.newTreeNode(t.label(), Arrays.asList(newKids));
-    newToOld.put(newNode, t);
-    oldToNew.put(t, newNode);
-    return newNode;
-  }
-
-  /** traceTo() values that are contained in the tree are assigned to
-   *  new objects.  traceTo() values that are not contained in the tree
-   *  are given the old value.
-   */
-  public static void fixEmptyTreeLeafs(Tree t, Map<Tree, Tree> newToOld, Map<Tree, Tree> oldToNew) {
-    Tree[] kids = t.children();
-    for (int i = 0, n = kids.length; i < n; i++) {
-      fixEmptyTreeLeafs(kids[i], newToOld, oldToNew);
-    }
-    if (t instanceof EmptyTreeLeaf) {
-      EmptyTreeLeaf oldT = (EmptyTreeLeaf) newToOld.get(t);
-      ((EmptyTreeLeaf) t).setEmptyType(oldT.emptyType());
-      Tree oldTraceTo = oldT.traceTo();
-      Tree newTraceTo = oldToNew.get(oldTraceTo);
-      if (newTraceTo != null)
-        ((EmptyTreeLeaf) t).setTraceTo(newTraceTo);
-      else
-        ((EmptyTreeLeaf) t).setTraceTo(oldTraceTo);
-    }
-  }
-
-
-  /**
-   * replaces all instances (by ==) of node with node1.  Doesn't affect
-   * the node t itself
-   */
-  public static void replaceNode(Tree node, Tree node1, Tree t) {
-    if (t.isLeaf())
-      return;
-    Tree[] kids = t.children();
-    List<Tree> newKids = new ArrayList<Tree>(kids.length);
-    for (int i = 0, n = kids.length; i < n; i++) {
-      if (kids[i] != node) {
-        newKids.add(kids[i]);
-        replaceNode(node, node1, kids[i]);
-      } else {
-        newKids.add(node1);
-      }
-    }
-    t.setChildren(newKids);
-  }
-
-
-  /**
-   * returns the node of a tree which represents the lowest common
-   * ancestor of nodes t1 and t2 dominated by root. If either t1 or
-   * or t2 is not dominated by root, returns null.
-   */
-  public static Tree getLowestCommonAncestor(Tree t1, Tree t2, Tree root) {
-    List<Tree> t1Path = pathFromRoot(t1, root);
-    List<Tree> t2Path = pathFromRoot(t2, root);
-    if (t1Path == null || t2Path == null) return null;
-
-    int min = Math.min(t1Path.size(), t2Path.size());
-    Tree commonAncestor = null;
-    for (int i = 0; i < min && t1Path.get(i).equals(t2Path.get(i)); ++i) {
-      commonAncestor = t1Path.get(i);
-    }
-
-    return commonAncestor;
-  }
-  
-  /**
-   * Simple tree reading utility method.  Given a tree formatted as a PTB string, returns a Tree made by a specific TreeFactory.
-   */
-  public static Tree readTree(String ptbTreeString, TreeFactory treeFactory) {
-    try {
-      PennTreeReader ptr = new PennTreeReader(new StringReader(ptbTreeString), treeFactory);
-      return ptr.readTree();
-    } catch (IOException ex) {
-      throw new RuntimeException(ex);
-    }
-  }
-
-  /**
-   * Simple tree reading utility method.  Given a tree formatted as a PTB string, returns a Tree made by the default TreeFactory (LabeledScoredTreeFactory)
-   */
-  public static Tree readTree(String str) {
-    return readTree(str, defaultTreeFactory);
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TypedDependency.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TypedDependency.java
deleted file mode 100644
index fa6c255..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/TypedDependency.java
+++ /dev/null
@@ -1,141 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import java.io.Serializable;
-
-import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;
-
-/**
- * A <code>TypedDependency</code> is a relation between two words in a
- * <code>GrammaticalStructure</code>.  Each <code>TypedDependency</code>
- * consists of a governor word, a dependent word, and a relation, which is
- * normally an instance of {@link GrammaticalRelation
- * <code>GrammaticalRelation</code>}.
- *
- * @author Bill MacCartney
- */
-public class TypedDependency implements Comparable<TypedDependency>, Serializable {
-
-  private static final long serialVersionUID = -7690294213151279779L;
-
-  private GrammaticalRelation reln;
-  private TreeGraphNode gov;
-  private TreeGraphNode dep;
-  private boolean extra; // = false; // to code whether the dependency preserves the tree structure or not
-  // cdm: todo: remove this field and use typing on reln?  Expand implementation of SEMANTIC_DEPENDENT
-
-  public TypedDependency(GrammaticalRelation reln, TreeGraphNode gov, TreeGraphNode dep) {
-    this.reln = reln;
-    this.gov = gov;
-    this.dep = dep;
-  }
-
-  public GrammaticalRelation reln() {
-    return reln;
-  }
-
-  public TreeGraphNode gov() {
-    return gov;
-  }
-
-  public TreeGraphNode dep() {
-    return dep;
-  }
-
-  public boolean extra() {
-    return extra;
-  }
-
-  public void setReln(GrammaticalRelation reln) {
-    this.reln = reln;
-  }
-
-  public void setGov(TreeGraphNode gov) {
-    this.gov = gov;
-  }
-
-  public void setDep(TreeGraphNode dep) {
-    this.dep = dep;
-  }
-
-  public void setExtra() {
-    this.extra = true;
-  }
-
-  @SuppressWarnings({"RedundantIfStatement"})
-  @Override
-  public boolean equals(Object o) {
-    if (this == o) {
-      return true;
-    }
-    if (!(o instanceof TypedDependency)) {
-      return false;
-    }
-    final TypedDependency typedDep = (TypedDependency) o;
-
-    if (reln != null ? !reln.equals(typedDep.reln) : typedDep.reln != null) {
-      return false;
-    }
-    if (gov != null ? !gov.equals(typedDep.gov) : typedDep.gov != null) {
-      return false;
-    }
-    if (dep != null ? !dep.equals(typedDep.dep) : typedDep.dep != null) {
-      return false;
-    }
-
-    return true;
-  }
-
-  @Override
-  public int hashCode() {
-    int result = (reln != null ? reln.hashCode() : 17);
-    result = 29 * result + (gov != null ? gov.hashCode() : 0);
-    result = 29 * result + (dep != null ? dep.hashCode() : 0);
-    return result;
-  }
-
-  @Override
-  public String toString() {
-    if(gov!=null && gov.label().get(TextAnnotation.class)!=null) {
-      StringBuilder str = new StringBuilder();
-      str.append(reln).append("(").append(gov.label().toString("text-index")).append(", ").append(dep.label().toString("text-index")).append(")");
-      return str.toString();
-    }
-    return reln + "(" + gov + gov.toPrimes() + ", " + dep + dep.toPrimes() + ")";
-  }
-
-  public String toString(boolean noIndex) {
-    if (!noIndex) return toString();
-    String govWord = gov.toString();
-    String depWord = dep.toString();
-    govWord = govWord.substring(0,govWord.lastIndexOf("-"));
-    depWord = depWord.substring(0,depWord.lastIndexOf("-"));
-    return reln + "(" + govWord + ", " + depWord + ")";
-  }
-
-
-  public int compareTo(TypedDependency tdArg) {
-    TreeGraphNode depArg = tdArg.dep();
-    TreeGraphNode depThis = this.dep();
-    int indexArg = depArg.index();
-    int indexThis = depThis.index();
-
-    if (indexThis > indexArg) {
-      return 1;
-    } else if (indexThis < indexArg) {
-      return -1;
-    }
-
-    // dependent indices are equal, check governor
-    int govIndexArg  = tdArg.gov().index();
-    int govIndexThis = this.gov().index();
-    if (govIndexThis > govIndexArg) {
-      return 1;
-    } else if (govIndexThis < govIndexArg) {
-      return -1;
-    }
-
-    // dependent and governor indices equal, the relation decides
-    return this.reln().compareTo(tdArg.reln());
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/UnnamedDependency.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/UnnamedDependency.java
deleted file mode 100644
index 4b25c93..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/UnnamedDependency.java
+++ /dev/null
@@ -1,171 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.ling.Label;
-import edu.stanford.nlp.ling.StringLabel;
-import edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation;
-import edu.stanford.nlp.util.CoreMap;
-import edu.stanford.nlp.util.ErasureUtils;
-import edu.stanford.nlp.util.XMLUtils;
-
-
-/**
- * An individual dependency between a head and a dependent.
- * The head and dependent are represented as a Label.
- * For example, these can be a
- * Word or a WordTag.  If one wishes the dependencies to preserve positions
- * in a sentence, then each can be a LabeledConstituent.
- *
- * @author Christopher Manning
- */
-public class UnnamedDependency implements Dependency<Label, Label, Object> {
-
-  @SuppressWarnings({"NonSerializableFieldInSerializableClass"})
-  private Label regent;
-  @SuppressWarnings({"NonSerializableFieldInSerializableClass"})
-  private Label dependent;
-
-  @Override
-  public int hashCode() {
-    return regent.hashCode() ^ dependent.hashCode();
-  }
-
-  @Override
-  public boolean equals(Object o) {
-    if (this == o) {
-      return true;
-    }
-    if (o instanceof UnnamedDependency) {
-      UnnamedDependency d = (UnnamedDependency) o;
-      return governor().equals(d.governor()) && dependent().equals(d.dependent());
-    }
-    return false;
-  }
-
-
-  public boolean equalsIgnoreName(Object o) {
-    if (this == o) {
-      return true;
-    }
-    if (o instanceof Dependency<?, ?, ?>) {
-      Dependency<Label, Label, Object> d = ErasureUtils.<Dependency<Label, Label, Object>>uncheckedCast(o);
-      return governor().equals(d.governor()) && dependent().equals(d.dependent());
-    }
-    return false;
-  }
-
-  @Override
-  public String toString() {
-    return regent + " --> " + dependent;
-  }
-
-  private static String getIndexStrOrEmpty(Label lab) {
-    String ans = "";
-    if (lab instanceof CoreMap) {
-      CoreMap aml = (CoreMap) lab;
-      Integer idx = aml.get(IndexAnnotation.class);
-      if (idx >= 0) {
-        ans = " idx=\"" + idx + "\"";
-      }
-    }
-    return ans;
-  }
-
-  /**
-   * Provide different printing options via a String keyword.
-   * The recognized options are currently "xml", and "predicate".
-   * Otherwise the default toString() is used.
-   */
-  public String toString(String format) {
-    if ("xml".equals(format)) {
-      String govIdxStr = getIndexStrOrEmpty(governor());
-      String depIdxStr = getIndexStrOrEmpty(dependent());
-      return "  <dep>\n    <governor" + govIdxStr + ">" + XMLUtils.escapeXML(governor().value()) + "</governor>\n    <dependent" + depIdxStr + ">" + XMLUtils.escapeXML(dependent().value()) + "</dependent>\n  </dep>";
-    } else if ("predicate".equals(format)) {
-      return "dep(" + governor() + "," + dependent() + ")";
-    } else {
-      return toString();
-    }
-  }
-
-
-  public UnnamedDependency(String regent, String dependent) {
-    this(new StringLabel(regent), new StringLabel(dependent));
-  }
-
-  public UnnamedDependency(String regent, int regentIndex, String dependent, int dependentIndex) {
-    this(regent, regentIndex, regentIndex + 1, dependent, dependentIndex, dependentIndex + 1);
-  }
-
-  public UnnamedDependency(String regent, int regentStartIndex, int regentEndIndex, String dependent, int depStartIndex, int depEndIndex) {
-    this(new LabeledConstituent(regentStartIndex, regentEndIndex, regent), new LabeledConstituent(depStartIndex, depEndIndex, dependent));
-  }
-
-  public UnnamedDependency(Label regent, Label dependent) {
-    if (regent == null || dependent == null) {
-      throw new IllegalArgumentException("governor or dependent cannot be null");
-    }
-    this.regent = regent;
-    this.dependent = dependent;
-  }
-
-  public Label governor() {
-    return regent;
-  }
-
-  public Label dependent() {
-    return dependent;
-  }
-
-  public Object name() {
-    return null;
-  }
-
-  public DependencyFactory dependencyFactory() {
-    return DependencyFactoryHolder.df;
-  }
-
-  public static DependencyFactory factory() {
-    return DependencyFactoryHolder.df;
-  }
-
-  // extra class guarantees correct lazy loading (Bloch p.194)
-  private static class DependencyFactoryHolder {
-
-    private static final DependencyFactory df = new UnnamedDependencyFactory();
-
-
-    private DependencyFactoryHolder() {
-    }
-  }
-
-
-  /**
-   * A <code>DependencyFactory</code> acts as a factory for creating objects
-   * of class <code>Dependency</code>
-   */
-  private static class UnnamedDependencyFactory implements DependencyFactory {
-
-    public UnnamedDependencyFactory() {
-    }
-
-
-    /**
-     * Create a new <code>Dependency</code>.
-     */
-    public Dependency<Label, Label, Object> newDependency(Label regent, Label dependent) {
-      return newDependency(regent, dependent, null);
-    }
-
-    /**
-     * Create a new <code>Dependency</code>.
-     */
-    public Dependency<Label, Label, Object> newDependency(Label regent, Label dependent, Object name) {
-      return new UnnamedDependency(regent, dependent);
-    }
-
-  }
-
-
-  private static final long serialVersionUID = 5;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/WordNetConnection.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/WordNetConnection.java
deleted file mode 100644
index cfff803..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/WordNetConnection.java
+++ /dev/null
@@ -1,14 +0,0 @@
-package edu.stanford.nlp.trees;
-
-/**
- * Allows us to verify that a wordnet connection is available without compile
- * time errors if the package is not found.
- *
- * @author Chris Cox
- * @author Eric Yeh
- */
-public interface WordNetConnection {
-
-  // Used String arg version, instead of StringBuffer - EY 02/02/07
-  public boolean wordNetContains(String s);
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/WordStemmer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/WordStemmer.java
deleted file mode 100644
index 9bbe5b0..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/WordStemmer.java
+++ /dev/null
@@ -1,51 +0,0 @@
-package edu.stanford.nlp.trees;
-
-import edu.stanford.nlp.process.Morphology;
-
-
-/**
- * Stems the Words in a Tree using Morphology.
- *
- * @author Huy Nguyen (htnguyen@cs.stanford.edu)
- */
-public class WordStemmer implements TreeVisitor {
-
-  private final Morphology morpha;
-
-  public WordStemmer() {
-    morpha = new Morphology();
-  }
-
-  public void visitTree(Tree t) {
-    processTree(t, null);
-  }
-
-  private void processTree(Tree t, String tag) {
-    if (t.isPreTerminal()) {
-      tag = t.label().value();
-    }
-    if (t.isLeaf()) {
-      t.label().setValue(morpha.lemma(t.label().value(), tag));
-    } else {
-      for (Tree kid : t.children()) {
-        processTree(kid, tag);
-      }
-    }
-  }
-
-  /**
-   * Reads, stems, and prints the trees in the file.
-   *
-   * @param args Usage: WordStemmer file
-   */
-  public static void main(String[] args) {
-    Treebank treebank = new DiskTreebank();
-    treebank.loadPath(args[0]);
-    WordStemmer ls = new WordStemmer();
-    for (Tree tree : treebank) {
-      ls.visitTree(tree);
-      System.out.println(tree);
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/CHTBLexer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/CHTBLexer.java
deleted file mode 100644
index 7bf5fc3..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/CHTBLexer.java
+++ /dev/null
@@ -1,787 +0,0 @@
-/* The following code was generated by JFlex 1.4.3 on 3/28/09 2:50 PM */
-
-package edu.stanford.nlp.trees.international.pennchinese;
-
-import java.io.OutputStreamWriter;
-import java.io.PrintWriter;
-import java.io.UnsupportedEncodingException;
-
-/** 
- * A lexer for the Penn Chinese Treebank.  Supports Chinese characters.
- *
- * @author Roger Levy
- * @author Christopher Manning (redid to accept most stuff, add CTB 4-6 XML entities)
- */
-
-
-class CHTBLexer {
-
-  /** This character denotes the end of file */
-  public static final int YYEOF = -1;
-
-  /** initial size of the lookahead buffer */
-  private static final int ZZ_BUFFERSIZE = 16384;
-
-  /** lexical states */
-  public static final int DATETIME = 8;
-  public static final int DATEINHEADER = 14;
-  public static final int HEADER = 12;
-  public static final int PREAMBLE = 16;
-  public static final int DOCNO = 2;
-  public static final int SRCID = 10;
-  public static final int YYINITIAL = 0;
-  public static final int DOCID = 4;
-  public static final int DOCTYPE = 6;
-
-  /**
-   * ZZ_LEXSTATE[l] is the state in the DFA for the lexical state l
-   * ZZ_LEXSTATE[l+1] is the state in the DFA for the lexical state l
-   *                  at the beginning of a line
-   * l is of the form l = 2*k, k a non negative integer
-   */
-  private static final int ZZ_LEXSTATE[] = { 
-     0,  0,  1,  1,  2,  2,  3,  3,  4,  4,  5,  5,  6,  6,  7,  7, 
-     8, 8
-  };
-
-  /** 
-   * Translates characters to character classes
-   */
-  private static final String ZZ_CMAP_PACKED = 
-    "\11\0\1\30\1\26\1\27\1\27\1\25\22\0\1\30\7\0\1\24"+
-    "\1\24\5\0\1\10\14\0\1\1\1\0\1\2\2\0\1\5\1\22"+
-    "\1\12\1\6\1\4\2\0\1\3\1\14\2\0\1\23\1\20\1\13"+
-    "\1\11\1\17\1\0\1\7\1\21\1\15\4\0\1\16\53\0\1\27"+
-    "\u1fa2\0\1\27\1\27\udfd6\0";
-
-  /** 
-   * Translates characters to character classes
-   */
-  private static final char [] ZZ_CMAP = zzUnpackCMap(ZZ_CMAP_PACKED);
-
-  /** 
-   * Translates DFA states to action switch labels.
-   */
-  private static final int [] ZZ_ACTION = zzUnpackAction();
-
-  private static final String ZZ_ACTION_PACKED_0 =
-    "\11\0\3\1\4\2\1\3\1\4\6\3\6\1\11\0"+
-    "\1\2\6\1\11\0\5\1\11\0\7\1\10\0\1\1"+
-    "\1\5\5\1\5\0\1\6\4\0\2\1\1\7\1\1"+
-    "\1\10\1\1\2\0\1\11\4\0\1\12\2\0\1\13"+
-    "\2\1\1\0\2\1\1\14\2\0\1\15\4\0\2\1"+
-    "\1\0\1\16\1\1\3\0\1\17\2\0\2\1\1\0"+
-    "\1\20\1\21\4\0\1\1\3\0\1\22\1\1\1\0"+
-    "\1\1\1\0\2\1\2\0\1\1\1\0";
-
-  private static int [] zzUnpackAction() {
-    int [] result = new int[166];
-    int offset = 0;
-    offset = zzUnpackAction(ZZ_ACTION_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackAction(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-
-  /** 
-   * Translates a state to a row index in the transition table
-   */
-  private static final int [] ZZ_ROWMAP = zzUnpackRowMap();
-
-  private static final String ZZ_ROWMAP_PACKED_0 =
-    "\0\0\0\31\0\62\0\113\0\144\0\175\0\226\0\257"+
-    "\0\310\0\341\0\372\0\u0113\0\u012c\0\u0113\0\u0145\0\u015e"+
-    "\0\u0177\0\u0113\0\u0190\0\u01a9\0\u01c2\0\u01db\0\u01f4\0\u020d"+
-    "\0\u0226\0\u023f\0\u0258\0\u0271\0\u028a\0\u02a3\0\u02bc\0\u02d5"+
-    "\0\u02ee\0\u0307\0\u0320\0\u0339\0\u0352\0\u036b\0\u0384\0\341"+
-    "\0\u039d\0\u03b6\0\u03cf\0\u03e8\0\u0401\0\u041a\0\u0433\0\u044c"+
-    "\0\u0465\0\u047e\0\u0497\0\u04b0\0\u04c9\0\u04e2\0\u04fb\0\u0514"+
-    "\0\u052d\0\u0546\0\u055f\0\u0578\0\u0591\0\u05aa\0\u05c3\0\u05dc"+
-    "\0\u05f5\0\u060e\0\u0627\0\u0640\0\u0659\0\u0672\0\u068b\0\u06a4"+
-    "\0\u06bd\0\u06d6\0\u06ef\0\u0708\0\u0721\0\u073a\0\u0753\0\u076c"+
-    "\0\u0785\0\u079e\0\u07b7\0\u07d0\0\u07e9\0\341\0\u0802\0\u081b"+
-    "\0\u0834\0\u084d\0\u0866\0\u087f\0\u0898\0\u08b1\0\u08ca\0\u08e3"+
-    "\0\u0113\0\u08fc\0\u0915\0\u092e\0\u0947\0\u0960\0\u0979\0\u0992"+
-    "\0\u09ab\0\341\0\u09c4\0\u09dd\0\u09f6\0\u0113\0\u0a0f\0\u0a28"+
-    "\0\u0a41\0\u0a5a\0\u0113\0\u0a73\0\u0a8c\0\341\0\u0aa5\0\u0abe"+
-    "\0\u0ad7\0\u0af0\0\u0b09\0\u0113\0\u0b22\0\u0b3b\0\u0113\0\u0b54"+
-    "\0\u0b6d\0\u0b86\0\u0b9f\0\u0bb8\0\u0bd1\0\u0bea\0\341\0\u0c03"+
-    "\0\u0c1c\0\u0c35\0\u0c4e\0\u0113\0\u0c67\0\u0c80\0\u0c99\0\u0cb2"+
-    "\0\u0ccb\0\341\0\u0113\0\u0ce4\0\u0cfd\0\u0d16\0\u0d2f\0\u0d48"+
-    "\0\u0d61\0\u0d7a\0\u0d93\0\u0113\0\u0dac\0\u0dc5\0\u0dde\0\u0df7"+
-    "\0\u0e10\0\u0e29\0\u0e42\0\u0e5b\0\u0e74\0\u0e8d";
-
-  private static int [] zzUnpackRowMap() {
-    int [] result = new int[166];
-    int offset = 0;
-    offset = zzUnpackRowMap(ZZ_ROWMAP_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackRowMap(String packed, int offset, int [] result) {
-    int i = 0;  /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int high = packed.charAt(i++) << 16;
-      result[j++] = high | packed.charAt(i++);
-    }
-    return j;
-  }
-
-  /** 
-   * The transition table of the DFA
-   */
-  private static final int [] ZZ_TRANS = zzUnpackTrans();
-
-  private static final String ZZ_TRANS_PACKED_0 =
-    "\1\12\1\13\22\12\1\14\1\15\2\16\1\17\1\20"+
-    "\1\21\27\20\31\22\1\20\1\23\30\20\1\24\30\20"+
-    "\1\25\30\20\1\26\30\20\1\27\30\20\1\30\27\20"+
-    "\24\12\5\0\2\31\1\12\1\32\2\31\1\33\3\31"+
-    "\1\34\4\31\1\35\1\31\1\36\2\31\5\37\57\0"+
-    "\1\16\32\0\1\17\1\20\1\0\27\20\10\0\1\40"+
-    "\30\0\1\41\30\0\1\42\30\0\1\43\26\0\1\44"+
-    "\1\0\1\45\30\0\1\46\30\0\1\47\20\0\2\31"+
-    "\1\50\21\31\5\37\2\31\1\50\1\31\1\51\17\31"+
-    "\5\37\2\31\1\50\2\31\1\52\3\31\1\53\12\31"+
-    "\5\37\2\31\1\50\12\31\1\54\6\31\5\37\2\31"+
-    "\1\50\4\31\1\55\14\31\5\37\2\31\1\50\4\31"+
-    "\1\56\14\31\7\37\1\16\26\37\6\0\1\57\30\0"+
-    "\1\60\30\0\1\61\34\0\1\62\6\0\1\63\14\0"+
-    "\1\64\26\0\1\65\33\0\1\66\41\0\1\67\11\0"+
-    "\2\31\1\50\2\31\1\70\16\31\5\37\2\31\1\50"+
-    "\12\31\1\71\6\31\5\37\2\31\1\50\7\31\1\72"+
-    "\11\31\5\37\2\31\1\50\17\31\1\73\1\31\5\37"+
-    "\2\31\1\50\1\31\1\74\17\31\5\37\2\31\1\50"+
-    "\7\31\1\73\11\31\5\37\11\0\1\75\30\0\1\76"+
-    "\24\0\1\77\40\0\1\100\22\0\1\101\36\0\1\102"+
-    "\17\0\1\103\31\0\1\104\32\0\1\105\21\0\2\31"+
-    "\1\50\3\31\1\106\15\31\5\37\2\31\1\50\1\31"+
-    "\1\107\17\31\5\37\2\31\1\50\10\31\1\110\1\111"+
-    "\1\112\6\31\5\37\2\31\1\50\11\31\1\113\7\31"+
-    "\5\37\2\31\1\50\2\31\1\114\16\31\5\37\12\0"+
-    "\1\115\30\0\1\116\33\0\1\117\35\0\1\120\20\0"+
-    "\1\120\22\0\1\121\31\0\1\122\40\0\1\123\17\0"+
-    "\1\124\24\0\2\31\1\50\1\31\1\125\17\31\5\37"+
-    "\2\31\1\126\5\31\1\127\13\31\5\37\2\31\1\50"+
-    "\6\31\1\130\12\31\5\37\2\31\1\50\3\31\1\130"+
-    "\15\31\5\37\2\31\1\50\13\31\1\131\5\31\5\37"+
-    "\2\31\1\50\3\31\1\132\15\31\5\37\2\31\1\50"+
-    "\15\31\1\133\3\31\5\37\13\0\1\134\1\135\31\0"+
-    "\1\136\17\0\1\137\40\0\1\140\16\0\1\141\5\0"+
-    "\1\142\26\0\1\143\26\0\1\144\31\0\1\145\23\0"+
-    "\2\31\1\50\4\31\1\146\14\31\5\37\2\31\1\50"+
-    "\12\31\1\147\6\31\5\37\2\31\1\150\21\31\5\37"+
-    "\2\31\1\50\14\31\1\151\4\31\5\37\2\31\1\152"+
-    "\21\31\5\37\2\31\1\50\17\31\1\153\1\31\5\37"+
-    "\11\0\1\154\25\0\1\154\40\0\1\155\14\0\1\156"+
-    "\5\0\1\157\26\0\1\160\37\0\1\161\17\0\1\162"+
-    "\26\0\1\163\5\0\1\164\40\0\1\165\10\0\2\31"+
-    "\1\166\21\31\5\37\2\31\1\50\11\31\1\167\7\31"+
-    "\5\37\1\170\1\12\22\170\5\171\2\31\1\50\1\31"+
-    "\1\172\17\31\5\37\2\31\1\50\20\31\1\173\5\37"+
-    "\2\0\1\174\45\0\1\175\26\0\1\176\15\0\1\177"+
-    "\42\0\1\200\23\0\1\201\36\0\1\202\35\0\1\203"+
-    "\6\0\2\31\1\50\15\31\1\204\3\31\5\37\1\170"+
-    "\1\205\22\170\6\171\1\206\27\171\2\31\1\207\21\31"+
-    "\5\37\2\31\1\50\1\31\1\210\17\31\5\37\4\0"+
-    "\1\211\40\0\1\212\34\0\1\213\12\0\1\214\42\0"+
-    "\1\215\37\0\1\216\5\0\2\31\1\50\1\31\1\217"+
-    "\17\31\5\37\10\12\1\220\13\12\15\0\1\221\20\0"+
-    "\2\31\1\222\21\31\5\37\2\0\1\223\46\0\1\224"+
-    "\14\0\1\225\44\0\1\226\14\0\1\227\24\0\2\31"+
-    "\1\126\21\31\5\37\6\12\1\230\15\12\13\0\1\231"+
-    "\26\0\1\232\26\0\1\141\32\0\1\233\26\0\1\234"+
-    "\26\0\11\12\1\235\12\12\16\0\1\236\21\0\1\156"+
-    "\30\0\1\163\26\0\12\12\1\237\11\12\17\0\1\240"+
-    "\16\0\13\12\1\241\1\242\7\12\20\0\1\243\1\244"+
-    "\14\0\11\12\1\245\12\12\5\0\6\12\1\245\15\12"+
-    "\16\0\1\246\25\0\1\246\22\0\2\12\1\50\21\12"+
-    "\7\0\1\16\26\0";
-
-  private static int [] zzUnpackTrans() {
-    int [] result = new int[3750];
-    int offset = 0;
-    offset = zzUnpackTrans(ZZ_TRANS_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackTrans(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      value--;
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-
-  /* error codes */
-  private static final int ZZ_UNKNOWN_ERROR = 0;
-  private static final int ZZ_NO_MATCH = 1;
-  private static final int ZZ_PUSHBACK_2BIG = 2;
-
-  /* error messages for the codes above */
-  private static final String ZZ_ERROR_MSG[] = {
-    "Unkown internal scanner error",
-    "Error: could not match input",
-    "Error: pushback value was too large"
-  };
-
-  /**
-   * ZZ_ATTRIBUTE[aState] contains the attributes of state <code>aState</code>
-   */
-  private static final int [] ZZ_ATTRIBUTE = zzUnpackAttribute();
-
-  private static final String ZZ_ATTRIBUTE_PACKED_0 =
-    "\11\0\2\1\1\11\1\1\1\11\3\1\1\11\14\1"+
-    "\11\0\7\1\11\0\5\1\11\0\7\1\10\0\7\1"+
-    "\5\0\1\11\4\0\6\1\2\0\1\11\4\0\1\11"+
-    "\2\0\3\1\1\0\2\1\1\11\2\0\1\11\4\0"+
-    "\2\1\1\0\2\1\3\0\1\11\2\0\2\1\1\0"+
-    "\1\1\1\11\4\0\1\1\3\0\1\11\1\1\1\0"+
-    "\1\1\1\0\2\1\2\0\1\1\1\0";
-
-  private static int [] zzUnpackAttribute() {
-    int [] result = new int[166];
-    int offset = 0;
-    offset = zzUnpackAttribute(ZZ_ATTRIBUTE_PACKED_0, offset, result);
-    return result;
-  }
-
-  private static int zzUnpackAttribute(String packed, int offset, int [] result) {
-    int i = 0;       /* index in packed string  */
-    int j = offset;  /* index in unpacked array */
-    int l = packed.length();
-    while (i < l) {
-      int count = packed.charAt(i++);
-      int value = packed.charAt(i++);
-      do result[j++] = value; while (--count > 0);
-    }
-    return j;
-  }
-
-  /** the input device */
-  private java.io.Reader zzReader;
-
-  /** the current state of the DFA */
-  private int zzState;
-
-  /** the current lexical state */
-  private int zzLexicalState = YYINITIAL;
-
-  /** this buffer contains the current text to be matched and is
-      the source of the yytext() string */
-  private char zzBuffer[] = new char[ZZ_BUFFERSIZE];
-
-  /** the textposition at the last accepting state */
-  private int zzMarkedPos;
-
-  /** the current text position in the buffer */
-  private int zzCurrentPos;
-
-  /** startRead marks the beginning of the yytext() string in the buffer */
-  private int zzStartRead;
-
-  /** endRead marks the last character in the buffer, that has been read
-      from input */
-  private int zzEndRead;
-
-  /** number of newlines encountered up to the start of the matched text */
-  private int yyline;
-
-  /** the number of characters up to the start of the matched text */
-  private int yychar;
-
-  /**
-   * the number of characters from the last newline up to the start of the 
-   * matched text
-   */
-  private int yycolumn;
-
-  /** 
-   * zzAtBOL == true <=> the scanner is currently at the beginning of a line
-   */
-  private boolean zzAtBOL = true;
-
-  /** zzAtEOF == true <=> the scanner is at the EOF */
-  private boolean zzAtEOF;
-
-  /** denotes if the user-EOF-code has already been executed */
-  private boolean zzEOFDone;
-
-  /* user code: */
-
-  public static final int IGNORE = 0;
-  public static final int ACCEPT = 1;
-
-  public void pushback(int n) {
-    yypushback(n);
-  }
-
-  public String match() {
-    return yytext();
-  }
-
-  private static void reportError(String yytext) {
-    try {
-      PrintWriter p = new PrintWriter(new OutputStreamWriter(System.err,
-                                                "GB18030"), true);
-      p.println("chtbl.flex tokenization error: \"" + yytext + "\"");
-      if (yytext.length() >= 1) {
-	p.println("First character is: " + yytext.charAt(0));
-	if (yytext.length() >= 2) {
-	  p.println("Second character is: " + yytext.charAt(1));
-        }
-      }		
-    } catch (UnsupportedEncodingException e) {
-      System.err.println("chtbl.flex tokenization and encoding present error");
-    }
-  }
-
-
-
-  /**
-   * Creates a new scanner
-   * There is also a java.io.InputStream version of this constructor.
-   *
-   * @param   in  the java.io.Reader to read input from.
-   */
-  CHTBLexer(java.io.Reader in) {
-    this.zzReader = in;
-  }
-
-  /**
-   * Creates a new scanner.
-   * There is also java.io.Reader version of this constructor.
-   *
-   * @param   in  the java.io.Inputstream to read input from.
-   */
-  CHTBLexer(java.io.InputStream in) {
-    this(new java.io.InputStreamReader(in));
-  }
-
-  /** 
-   * Unpacks the compressed character translation table.
-   *
-   * @param packed   the packed character translation table
-   * @return         the unpacked character translation table
-   */
-  private static char [] zzUnpackCMap(String packed) {
-    char [] map = new char[0x10000];
-    int i = 0;  /* index in packed string  */
-    int j = 0;  /* index in unpacked array */
-    while (i < 88) {
-      int  count = packed.charAt(i++);
-      char value = packed.charAt(i++);
-      do map[j++] = value; while (--count > 0);
-    }
-    return map;
-  }
-
-
-  /**
-   * Refills the input buffer.
-   *
-   * @return      <code>false</code>, iff there was new input.
-   * 
-   * @exception   java.io.IOException  if any I/O-Error occurs
-   */
-  private boolean zzRefill() throws java.io.IOException {
-
-    /* first: make room (if you can) */
-    if (zzStartRead > 0) {
-      System.arraycopy(zzBuffer, zzStartRead,
-                       zzBuffer, 0,
-                       zzEndRead-zzStartRead);
-
-      /* translate stored positions */
-      zzEndRead-= zzStartRead;
-      zzCurrentPos-= zzStartRead;
-      zzMarkedPos-= zzStartRead;
-      zzStartRead = 0;
-    }
-
-    /* is the buffer big enough? */
-    if (zzCurrentPos >= zzBuffer.length) {
-      /* if not: blow it up */
-      char newBuffer[] = new char[zzCurrentPos*2];
-      System.arraycopy(zzBuffer, 0, newBuffer, 0, zzBuffer.length);
-      zzBuffer = newBuffer;
-    }
-
-    /* finally: fill the buffer with new input */
-    int numRead = zzReader.read(zzBuffer, zzEndRead,
-                                            zzBuffer.length-zzEndRead);
-
-    if (numRead > 0) {
-      zzEndRead+= numRead;
-      return false;
-    }
-    // unlikely but not impossible: read 0 characters, but not at end of stream    
-    if (numRead == 0) {
-      int c = zzReader.read();
-      if (c == -1) {
-        return true;
-      } else {
-        zzBuffer[zzEndRead++] = (char) c;
-        return false;
-      }     
-    }
-
-	// numRead < 0
-    return true;
-  }
-
-    
-  /**
-   * Closes the input stream.
-   */
-  public final void yyclose() throws java.io.IOException {
-    zzAtEOF = true;            /* indicate end of file */
-    zzEndRead = zzStartRead;  /* invalidate buffer    */
-
-    if (zzReader != null)
-      zzReader.close();
-  }
-
-
-  /**
-   * Resets the scanner to read from a new input stream.
-   * Does not close the old reader.
-   *
-   * All internal variables are reset, the old input stream 
-   * <b>cannot</b> be reused (internal buffer is discarded and lost).
-   * Lexical state is set to <tt>ZZ_INITIAL</tt>.
-   *
-   * @param reader   the new input stream 
-   */
-  public final void yyreset(java.io.Reader reader) {
-    zzReader = reader;
-    zzAtBOL  = true;
-    zzAtEOF  = false;
-    zzEOFDone = false;
-    zzEndRead = zzStartRead = 0;
-    zzCurrentPos = zzMarkedPos = 0;
-    yyline = yychar = yycolumn = 0;
-    zzLexicalState = YYINITIAL;
-  }
-
-
-  /**
-   * Returns the current lexical state.
-   */
-  public final int yystate() {
-    return zzLexicalState;
-  }
-
-
-  /**
-   * Enters a new lexical state
-   *
-   * @param newState the new lexical state
-   */
-  public final void yybegin(int newState) {
-    zzLexicalState = newState;
-  }
-
-
-  /**
-   * Returns the text matched by the current regular expression.
-   */
-  public final String yytext() {
-    return new String( zzBuffer, zzStartRead, zzMarkedPos-zzStartRead );
-  }
-
-
-  /**
-   * Returns the character at position <tt>pos</tt> from the 
-   * matched text. 
-   * 
-   * It is equivalent to yytext().charAt(pos), but faster
-   *
-   * @param pos the position of the character to fetch. 
-   *            A value from 0 to yylength()-1.
-   *
-   * @return the character at position pos
-   */
-  public final char yycharat(int pos) {
-    return zzBuffer[zzStartRead+pos];
-  }
-
-
-  /**
-   * Returns the length of the matched text region.
-   */
-  public final int yylength() {
-    return zzMarkedPos-zzStartRead;
-  }
-
-
-  /**
-   * Reports an error that occured while scanning.
-   *
-   * In a wellformed scanner (no or only correct usage of 
-   * yypushback(int) and a match-all fallback rule) this method 
-   * will only be called with things that "Can't Possibly Happen".
-   * If this method is called, something is seriously wrong
-   * (e.g. a JFlex bug producing a faulty scanner etc.).
-   *
-   * Usual syntax/scanner level error handling should be done
-   * in error fallback rules.
-   *
-   * @param   errorCode  the code of the errormessage to display
-   */
-  private void zzScanError(int errorCode) {
-    String message;
-    try {
-      message = ZZ_ERROR_MSG[errorCode];
-    }
-    catch (ArrayIndexOutOfBoundsException e) {
-      message = ZZ_ERROR_MSG[ZZ_UNKNOWN_ERROR];
-    }
-
-    throw new Error(message);
-  } 
-
-
-  /**
-   * Pushes the specified amount of characters back into the input stream.
-   *
-   * They will be read again by then next call of the scanning method
-   *
-   * @param number  the number of characters to be read again.
-   *                This number must not be greater than yylength()!
-   */
-  public void yypushback(int number)  {
-    if ( number > yylength() )
-      zzScanError(ZZ_PUSHBACK_2BIG);
-
-    zzMarkedPos -= number;
-  }
-
-
-  /**
-   * Resumes scanning until the next regular expression is matched,
-   * the end of input is encountered or an I/O-Error occurs.
-   *
-   * @return      the next token
-   * @exception   java.io.IOException  if any I/O-Error occurs
-   */
-  public int yylex() throws java.io.IOException {
-    int zzInput;
-    int zzAction;
-
-    // cached fields:
-    int zzCurrentPosL;
-    int zzMarkedPosL;
-    int zzEndReadL = zzEndRead;
-    char [] zzBufferL = zzBuffer;
-    char [] zzCMapL = ZZ_CMAP;
-
-    int [] zzTransL = ZZ_TRANS;
-    int [] zzRowMapL = ZZ_ROWMAP;
-    int [] zzAttrL = ZZ_ATTRIBUTE;
-
-    while (true) {
-      zzMarkedPosL = zzMarkedPos;
-
-      zzAction = -1;
-
-      zzCurrentPosL = zzCurrentPos = zzStartRead = zzMarkedPosL;
-  
-      zzState = ZZ_LEXSTATE[zzLexicalState];
-
-
-      zzForAction: {
-        while (true) {
-    
-          if (zzCurrentPosL < zzEndReadL)
-            zzInput = zzBufferL[zzCurrentPosL++];
-          else if (zzAtEOF) {
-            zzInput = YYEOF;
-            break zzForAction;
-          }
-          else {
-            // store back cached positions
-            zzCurrentPos  = zzCurrentPosL;
-            zzMarkedPos   = zzMarkedPosL;
-            boolean eof = zzRefill();
-            // get translated positions and possibly new buffer
-            zzCurrentPosL  = zzCurrentPos;
-            zzMarkedPosL   = zzMarkedPos;
-            zzBufferL      = zzBuffer;
-            zzEndReadL     = zzEndRead;
-            if (eof) {
-              zzInput = YYEOF;
-              break zzForAction;
-            }
-            else {
-              zzInput = zzBufferL[zzCurrentPosL++];
-            }
-          }
-          int zzNext = zzTransL[ zzRowMapL[zzState] + zzCMapL[zzInput] ];
-          if (zzNext == -1) break zzForAction;
-          zzState = zzNext;
-
-          int zzAttributes = zzAttrL[zzState];
-          if ( (zzAttributes & 1) == 1 ) {
-            zzAction = zzState;
-            zzMarkedPosL = zzCurrentPosL;
-            if ( (zzAttributes & 8) == 8 ) break zzForAction;
-          }
-
-        }
-      }
-
-      // store back cached position
-      zzMarkedPos = zzMarkedPosL;
-
-      switch (zzAction < 0 ? zzAction : ZZ_ACTION[zzAction]) {
-        case 4: 
-          { System.out.print(yytext());
-          }
-        case 19: break;
-        case 8: 
-          { //System.err.println("Transitioning to SRCID");
-                          yybegin(SRCID); return IGNORE;
-          }
-        case 20: break;
-        case 10: 
-          { yybegin(HEADER); return IGNORE;
-          }
-        case 21: break;
-        case 14: 
-          { //System.err.println("Transitioning to DOCTYPE");
-                          yybegin(DOCTYPE); return IGNORE;
-          }
-        case 22: break;
-        case 9: 
-          { //System.err.println("Transitioning to YYINITIAL");
-                   yybegin(YYINITIAL); return IGNORE;
-          }
-        case 23: break;
-        case 17: 
-          { //System.err.println("Transitioning to YYINITIAL");
-                  yybegin(YYINITIAL); return IGNORE;
-          }
-        case 24: break;
-        case 5: 
-          { //System.err.println("Transitioning to DATETIME");
-                          yybegin(DATETIME); return IGNORE;
-          }
-        case 25: break;
-        case 6: 
-          { yybegin(DATEINHEADER); return IGNORE;
-          }
-        case 26: break;
-        case 12: 
-          { // System.err.println("Transitioning to YYINITIAL");
-                yybegin(YYINITIAL); return IGNORE;
-          }
-        case 27: break;
-        case 18: 
-          { yybegin(YYINITIAL); return IGNORE;
-          }
-        case 28: break;
-        case 7: 
-          { // System.err.println("Transitioning to DOCNO");
-                          yybegin(DOCNO); return IGNORE;
-          }
-        case 29: break;
-        case 2: 
-          { return IGNORE;
-          }
-        case 30: break;
-        case 13: 
-          { //System.err.println("In SRCID; Transitioning to YYINITIAL");
-                yybegin(YYINITIAL); return IGNORE;
-          }
-        case 31: break;
-        case 15: 
-          { //System.err.println("Transitioning to YYINITIAL");
-                yybegin(YYINITIAL); return IGNORE;
-          }
-        case 32: break;
-        case 16: 
-          { yybegin(PREAMBLE); return IGNORE;
-          }
-        case 33: break;
-        case 1: 
-          { return ACCEPT;
-          }
-        case 34: break;
-        case 3: 
-          { reportError(yytext());
-          }
-        case 35: break;
-        case 11: 
-          { //System.err.println("Transitioning to HEADER");
-                          yybegin(HEADER); return IGNORE;
-          }
-        case 36: break;
-        default: 
-          if (zzInput == YYEOF && zzStartRead == zzCurrentPos) {
-            zzAtEOF = true;
-            return YYEOF;
-          } 
-          else {
-            zzScanError(ZZ_NO_MATCH);
-          }
-      }
-    }
-  }
-
-  /**
-   * Runs the scanner on input files.
-   *
-   * This is a standalone scanner, it will print any unmatched
-   * text to System.out unchanged.
-   *
-   * @param argv   the command line, contains the filenames to run
-   *               the scanner on.
-   */
-  public static void main(String argv[]) {
-    if (argv.length == 0) {
-      System.out.println("Usage : java CHTBLexer <inputfile>");
-    }
-    else {
-      for (int i = 0; i < argv.length; i++) {
-        CHTBLexer scanner = null;
-        try {
-          scanner = new CHTBLexer( new java.io.FileReader(argv[i]) );
-          while ( !scanner.zzAtEOF ) scanner.yylex();
-        }
-        catch (java.io.FileNotFoundException e) {
-          System.out.println("File not found : \""+argv[i]+"\"");
-        }
-        catch (java.io.IOException e) {
-          System.out.println("IO error scanning file \""+argv[i]+"\"");
-          System.out.println(e);
-        }
-        catch (Exception e) {
-          System.out.println("Unexpected exception:");
-          e.printStackTrace();
-        }
-      }
-    }
-  }
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/CHTBTokenizer.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/CHTBTokenizer.java
deleted file mode 100644
index 3392b87..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/CHTBTokenizer.java
+++ /dev/null
@@ -1,82 +0,0 @@
-package edu.stanford.nlp.trees.international.pennchinese;
-
-import edu.stanford.nlp.io.EncodingPrintWriter;
-import edu.stanford.nlp.process.AbstractTokenizer;
-import edu.stanford.nlp.process.Tokenizer;
-
-import java.io.*;
-
-/**
- * A simple tokenizer for tokenizing Penn Chinese Treebank files.  A
- * token is any parenthesis, node label, or terminal.  All SGML
- * content of the files is ignored.
- *
- * @author Roger Levy
- * @version 01/17/2003
- */
-public class CHTBTokenizer extends AbstractTokenizer<String> {
-
-  private final CHTBLexer lexer;
-
-
-  /**
-   * Constructs a new tokenizer from a Reader.  Note that getting
-   * the bytes going into the Reader into Java-internal Unicode is
-   * not the tokenizer's job.  This can be done by converting the
-   * file with <code>ConvertEncodingThread</code>, or by specifying
-   * the files encoding explicitly in the Reader with
-   * java.io.<code>InputStreamReader</code>.
-   *
-   * @param r Reader
-   */
-  public CHTBTokenizer(Reader r) {
-    lexer = new CHTBLexer(r);
-  }
-
-
-  /**
-   * Internally fetches the next token.
-   *
-   * @return the next token in the token stream, or null if none exists.
-   */
-  @Override
-  public String getNext() {
-    try {
-      int a;
-      while ((a = lexer.yylex()) == CHTBLexer.IGNORE) {
-        //System.err.println("#ignored: " + lexer.match());
-      }
-      if (a == CHTBLexer.YYEOF) {
-        return null;
-      } else {
-        //System.err.println("#matched: " + lexer.match());
-        return lexer.match();
-      }
-    } catch (IOException ioe) {
-      // do nothing, return null
-    }
-    return null;
-  }
-
-
-  /**
-   * The main() method tokenizes a file in the specified Encoding
-   * and prints it to standard output in the specified Encoding.
-   * Its arguments are (Infile, Encoding).
-   */
-  public static void main(String[] args) throws IOException {
-
-    String encoding = args[1];
-    Reader in = new BufferedReader(new InputStreamReader(new FileInputStream(args[0]), encoding));
-
-    Tokenizer<String> st = new CHTBTokenizer(in);
-
-    while (st.hasNext()) {
-      String s = st.next();
-      EncodingPrintWriter.out.println(s, encoding);
-      // EncodingPrintWriter.out.println("|" + s + "| (" + s.length() + ")",
-      //				encoding);
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/CTBTreeReaderFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/CTBTreeReaderFactory.java
deleted file mode 100644
index 1bd8848..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/CTBTreeReaderFactory.java
+++ /dev/null
@@ -1,46 +0,0 @@
-package edu.stanford.nlp.trees.international.pennchinese;
-
-import java.io.Reader;
-
-import edu.stanford.nlp.trees.*;
-
-
-/**
- * The <code>CTBTreeReaderFactory</code> is a factory for creating a
- * TreeReader suitable for the Penn CTB.
- *
- * @author Christopher Manning
- */
-public class CTBTreeReaderFactory implements TreeReaderFactory {
-
-  private final TreeNormalizer tn;
-  private final boolean discardFrags;
-
-  public CTBTreeReaderFactory() {
-    this(new TreeNormalizer());
-  }
-
-  public CTBTreeReaderFactory(TreeNormalizer tn) {
-    this(tn, false);
-  }
-
-  public CTBTreeReaderFactory(TreeNormalizer tn, boolean discardFrags) {
-    this.tn = tn;
-    this.discardFrags = discardFrags;
-  }
-
-  /**
-   * Create a new <code>TreeReader</code> using the provided
-   * <code>Reader</code>.
-   *
-   * @param in The <code>Reader</code> to build on
-   * @return The new TreeReader
-   */
-  public TreeReader newTreeReader(Reader in) {
-    if (discardFrags) {
-      return new FragDiscardingPennTreeReader(in, new LabeledScoredTreeFactory(), tn, new CHTBTokenizer(in));
-    } else {
-      return new PennTreeReader(in, new LabeledScoredTreeFactory(), tn, new CHTBTokenizer(in));
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/ChineseEnglishWordMap.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/ChineseEnglishWordMap.java
deleted file mode 100644
index f17d344..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/ChineseEnglishWordMap.java
+++ /dev/null
@@ -1,408 +0,0 @@
-// ChineseEnglishWordMap -- a mapping from Chinese to English words.
-// Copyright (c) 2002, 2003, 2004 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// Map is taken from CEDict Chinese-English Lexicon.  Future versions
-// will support multiple Lexicons.
-//
-// http://www.mandarintools.com/cedict.html
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    Support/Questions: java-nlp-user@lists.stanford.edu
-//    Licensing: java-nlp-support@lists.stanford.edu
-
-package edu.stanford.nlp.trees.international.pennchinese;
-
-import edu.stanford.nlp.trees.TreebankLanguagePack;
-import edu.stanford.nlp.util.StringUtils;
-
-import java.io.*;
-import java.util.*;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-/**
- * A class for mapping Chinese words to English.  Uses CEDict free Lexicon.
- *
- * @author Galen Andrew
- */
-public class ChineseEnglishWordMap implements Serializable {
-
-  /**
-   * 
-   */
-  private static final long serialVersionUID = 7655332268578049993L;
-
-  private Map<String, Set<String>> map = new HashMap<String, Set<String>>(10000); // large dictionary!
-
-  private static final String defaultPath = "cedict_ts.u8";
-  private static final String defaultPath2 = "/u/nlp/data/chinese-english-dictionary/cedict_ts.u8";
-  private static final String ENV_VARIABLE = "CEDICT";
-  private static final String defaultPattern = "[^ ]+ ([^ ]+)[^/]+/(.+)/";
-  private static final String defaultDelimiter = "[/;]";
-  private static final String defaultCharset = "UTF-8";
-
-  private static final String punctuations[] = {
-    "\uff08.*?\uff09",
-    "\\(.*?\\)",
-    "<.*?>",
-    "[\u2033\u20dd\u25cb\u25ef\u2039\u2329\u27e8\u203a\u232a\u27e9\u00ab\u27ea\u00bb\u27eb\u2308\u230b\u27e6\u27e7\u3030\uff5e\u201c\u2036\u201d\u2033\u2307\u301c\u3012\u29c4\u300a\u300b\u3000]",
-    "^to "};
-
-  private static final boolean DEBUG = false;
-
-  private boolean normalized = false;
-
-
-  /**
-   * SingletonHolder is loaded on the first execution of getInstance().
-   */
-  private static class SingletonHolder {
-    private SingletonHolder() {}
-    private final static ChineseEnglishWordMap INSTANCE = new ChineseEnglishWordMap();
-  }
-
-
-  /**
-   * A method for getting a singleton instance of this class.
-   * In general, you should use this method rather than the constructor,
-   * since each instance of the class is a large data file in memory.
-   *
-   * @return An instance of ChineseEnglishWordMap
-   */
-  public static ChineseEnglishWordMap getInstance() {
-    return SingletonHolder.INSTANCE;
-  }
-
-  /**
-   * Does the word exist in the dictionary?
-   * @param key The word in Chinese
-   * @return Whether it is in the dictionary
-   */
-  public boolean containsKey(String key) {
-    key = key.toLowerCase();
-    key = key.trim();
-    return map.containsKey(key);
-  }
-
-  /**
-   *
-   * @param key a Chinese word
-   * @return the English translation (null if not in dictionary)
-   */
-  public Set<String> getAllTranslations(String key) {
-    key = key.toLowerCase();
-    key = key.trim();
-    return map.get(key);
-  }
-
-  /**
-   *
-   * @param key a Chinese word
-   * @return the English translations as an array (null if not in dictionary)
-   */
-  public String getFirstTranslation(String key) {
-    key = key.toLowerCase();
-    key = key.trim();
-    Set<String> strings = map.get(key);
-    if (strings == null) return null;
-    else return strings.iterator().next();
-  }
-
-  public void readCEDict(String dictPath) {
-    readCEDict(dictPath, defaultPattern, defaultDelimiter, defaultCharset);
-  }
-
-
-  private String normalize(String t) {
-    String origT;
-    if (DEBUG) { origT = t; }
-
-    if ( ! this.normalized) {
-      return t;
-    }
-    for (String punc : punctuations) {
-      t = t.replaceAll(punc, "");
-    }
-    t = t.trim();
-    if (DEBUG && !origT.equals(t)) {
-      System.err.println("orig="+origT);
-      System.err.println("norm="+t);
-    }
-    return t;
-  }
-
-  private Set<String> normalize(Set<String> trans) {
-    if (!this.normalized) {
-      return trans;
-    }
-
-    Set<String> set = new HashSet<String>();
-
-    for (String t : trans) {
-      t = normalize(t);
-      if ( ! t.equals("")) {
-        set.add(t);
-      }
-    }
-    return set;
-  }
-
-  public void readCEDict(String dictPath, String pattern, String delimiter, String charset) {
-    try {
-      BufferedReader infile = new BufferedReader(new InputStreamReader(new FileInputStream(dictPath), charset));
-
-      Pattern p = Pattern.compile(pattern);
-      for (String line = infile.readLine(); line != null; line = infile.readLine()) {
-        Matcher m = p.matcher(line);
-        if (m.matches()) {
-          String word = (m.group(1)).toLowerCase();
-          word = word.trim(); // don't want leading or trailing spaces
-          String transGroup = m.group(2);
-          String[] trans = transGroup.split(delimiter);
-          // TODO: strip out punctuations from translation
-          if (map.containsKey(word)) {
-            Set<String> oldtrans = map.get(word);
-            for (String t : trans) {
-              t = normalize(t);
-              if ( ! t.equals("")) {
-                if ( ! oldtrans.contains(t)) {
-                  oldtrans.add(t);
-                }
-              }
-            }
-          } else {
-            Set<String> transList = new LinkedHashSet<String>(Arrays.asList(trans));
-            String normW = normalize(word);
-            Set<String> normSet = normalize(transList);
-            if ( ! normW.equals("") && normSet.size() > 0) {
-              map.put(normW, normSet);
-            }
-          }
-        }
-      }
-      infile.close();
-    } catch (IOException e) {
-      throw new RuntimeException("IOException reading CEDict from file " + dictPath, e);
-    }
-  }
-
-  /**
-   * Make a ChineseEnglishWordMap with a default CEDict path.
-   * It looks for the file "cedict_ts.u8" in the working directory, for the
-   * value of the CEDICT environment variable, and in a Stanford NLP Group
-   * specific place.  It throws an exception if a dictionary cannot be found.
-   */
-  public ChineseEnglishWordMap() {
-    String path;
-    File f = new File(defaultPath);
-    if (f.canRead()) {
-      path = defaultPath;
-    } else {
-      f = new File(defaultPath2);
-      if (f.canRead()) {
-        path = defaultPath2;
-      } else {
-        path = System.getenv(ENV_VARIABLE);
-        f = new File(path);
-        if ( ! f.canRead()) {
-          throw new RuntimeException("ChineseEnglishWordMap cannot find dictionary");
-        }
-      }
-    }
-    readCEDict(path);
-  }
-
-  /**
-   * Make a ChineseEnglishWordMap
-   * @param dictPath the path/filename of the CEDict
-   */
-  public ChineseEnglishWordMap(String dictPath) {
-    readCEDict(dictPath);
-  }
-
-  /**
-   * Make a ChineseEnglishWordMap
-   * @param dictPath the path/filename of the CEDict
-   * @param normalized whether the entries in dictionary are normalized or not
-   */
-  public ChineseEnglishWordMap(String dictPath, boolean normalized) {
-    this.normalized = normalized;
-    readCEDict(dictPath);
-  }
-
-  public ChineseEnglishWordMap(String dictPath, String pattern, String delimiter, String charset) {
-    readCEDict(dictPath, pattern, delimiter, charset);
-  }
-
-  public ChineseEnglishWordMap(String dictPath, String pattern, String delimiter, String charset, boolean normalized) {
-    this.normalized = normalized;
-    readCEDict(dictPath, pattern, delimiter, charset);
-  }
-
-
-  private static boolean isDigits(String in) {
-    for (int i = 0, len = in.length(); i < len; i++) {
-      if ( ! Character.isDigit(in.charAt(i))) {
-	return false;
-      }
-    }
-    return true;
-  }
-
-  /**
-   * Returns a reversed map of the current map.
-   *
-   * @return A reversed map of the current map.
-   */
-  public Map<String, Set<String>> getReverseMap() {
-    Set<Map.Entry<String,Set<String>>> entries = map.entrySet();
-    Map<String, Set<String>> rMap = new HashMap<String, Set<String>>(entries.size());
-    for (Map.Entry<String,Set<String>> me : entries) {
-      String k = me.getKey();
-      Set<String> transList = me.getValue();
-      for (String trans : transList) {
-        Set<String> entry = rMap.get(trans);
-        if (entry == null) {
-          // reduce default size as most will be small
-          Set<String> toAdd = new LinkedHashSet<String>(6);
-          toAdd.add(k);
-          rMap.put(trans, toAdd);
-        } else {
-          entry.add(k);
-        }
-      }
-    }
-    return rMap;
-  }
-
-  /**
-   * Add all of the mappings from the specified map to the current map.
-   */
-  public int addMap(Map<String, Set<String>> addM) {
-    int newTrans = 0;
-
-    for (Map.Entry<String,Set<String>> me : addM.entrySet()) {
-      String k = me.getKey();
-      Set<String> addList = me.getValue();
-      Set<String> origList = map.get(k);
-      if (origList == null) {
-        map.put(k, new LinkedHashSet<String>(addList));
-        Set<String> newList = map.get(k);
-        if (newList != null && newList.size() != 0) {
-          newTrans+=addList.size();
-        }
-      } else {
-        for (String toAdd : addList) {
-          if (!(origList.contains(toAdd))) {
-            origList.add(toAdd);
-            newTrans++;
-          }
-        }
-      }
-    }
-    return newTrans;
-  }
-
-
-
-  @Override
-  public String toString() {
-    return map.toString();
-  }
-
-  public int size() {
-    return map.size();
-  }
-
-
-  /**
-   * The main method reads (segmented, whitespace delimited) words from a file
-   * and prints them with their English translation(s).
-   *
-   * The path and filename of the CEDict Lexicon can be supplied via the
-   * "-dictPath" flag; otherwise the default filename "cedict_ts.u8" in the
-   * current directory is checked.
-   *
-   * By default, only the first translation is printed.  If the "-all" flag
-   * is given, all translations are printed.
-   *
-   * The input and output encoding can be specified using the "-encoding" flag.
-   * Otherwise UTF-8 is assumed.
-   */
-  public static void main(String[] args) throws IOException {
-    Map<String, Integer> flagsToNumArgs = new HashMap<String, Integer>();
-    flagsToNumArgs.put("-dictPath" , 1);
-    flagsToNumArgs.put("-encoding" , 1);
-    Map<String, String[]> argMap = StringUtils.argsToMap(args, flagsToNumArgs);
-    String[] otherArgs = argMap.get(null);
-    if (otherArgs.length < 1) {
-      System.err.println("usage: ChineseEnglishWordMap [-all] [-dictPath path] [-encoding enc_string] inputFile");
-      System.exit(1);
-    }
-    String filename = otherArgs[0];
-    boolean allTranslations = argMap.containsKey("-all");
-    String charset = defaultCharset;
-    if (argMap.containsKey("-encoding")) {
-      charset = argMap.get("-encoding")[0];
-    }
-    BufferedReader r = new BufferedReader(new InputStreamReader(new FileInputStream(filename), charset));
-
-    TreebankLanguagePack tlp = new ChineseTreebankLanguagePack();
-    String[] dpString = argMap.get("-dictPath");
-    ChineseEnglishWordMap cewm = (dpString == null) ? new ChineseEnglishWordMap() : new ChineseEnglishWordMap(dpString[0]);
-    int totalWords = 0, coveredWords = 0;
-
-    PrintWriter pw = new PrintWriter(new OutputStreamWriter(System.out, charset), true);
-
-    for (String line = r.readLine(); line != null; line = r.readLine()) {
-      String[] words = line.split("\\s", 1000);
-      for (String word : words) {
-        totalWords++;
-        if (word.length() == 0) continue;
-        pw.print(StringUtils.pad(word + ':', 8));
-        if (tlp.isPunctuationWord(word)) {
-          totalWords--;
-          pw.print(word);
-	} else if (isDigits(word)) {
-	  pw.print(word + " [NUMBER]");
-        } else if (cewm.containsKey(word)) {
-          coveredWords++;
-          if (allTranslations) {
-            List<String> trans = new ArrayList<String>(cewm.getAllTranslations(word));
-            for (String s : trans) {
-              pw.print((trans.indexOf(s) > 0 ? "|" : "") + s);
-            }
-          } else {
-            pw.print(cewm.getFirstTranslation(word));
-          }
-        } else {
-          pw.print("[UNK]");
-        }
-	pw.println();
-      }
-      pw.println();
-    }
-    r.close();
-    System.err.print("Finished translating " + totalWords + " words (");
-    System.err.println(coveredWords + " were in dictionary).");
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/ChineseHeadFinder.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/ChineseHeadFinder.java
deleted file mode 100644
index c8d3bd0..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/ChineseHeadFinder.java
+++ /dev/null
@@ -1,101 +0,0 @@
-package edu.stanford.nlp.trees.international.pennchinese;
-
-import edu.stanford.nlp.trees.AbstractCollinsHeadFinder;
-import edu.stanford.nlp.trees.TreebankLanguagePack;
-
-import java.util.HashMap;
-
-
-/**
- * HeadFinder for the Penn Chinese Treebank.  Adapted from
- * CollinsHeadFinder. This is the version used in Levy and Manning (2003).
- *
- * @author Roger Levy
- */
-public class ChineseHeadFinder extends AbstractCollinsHeadFinder {
-
-  /**
-   * If true, reverses the direction of search in VP and IP coordinations.
-   * Works terribly .
-   */
-  private static final boolean coordSwitch = false;
-
-  static String[] leftExceptPunct = {"leftexcept", "PU"};
-  static String[] rightExceptPunct = {"rightexcept", "PU"};
-
-  public ChineseHeadFinder() {
-    this(new ChineseTreebankLanguagePack());
-  }
-
-  public ChineseHeadFinder(TreebankLanguagePack tlp) {
-    super(tlp);
-
-    nonTerminalInfo = new HashMap<String,String[][]>();
-    // these are first-cut rules
-
-    String left = (coordSwitch ? "right" : "left");
-    String right = (coordSwitch ? "left" : "right");
-    String rightdis = "rightdis";
-
-    defaultRule = new String[]{right};
-
-    // ROOT is not always unary for chinese -- PAIR is a special notation
-    // that the Irish people use for non-unary ones....
-    nonTerminalInfo.put("ROOT", new String[][]{{left, "IP"}});
-    nonTerminalInfo.put("PAIR", new String[][]{{left, "IP"}});
-
-    // Major syntactic categories
-    nonTerminalInfo.put("ADJP", new String[][]{{left, "JJ", "ADJP"}}); // there is one ADJP unary rewrite to AD but otherwise all have JJ or ADJP
-    nonTerminalInfo.put("ADVP", new String[][]{{left, "AD", "CS", "ADVP", "JJ"}}); // CS is a subordinating conjunctor, and there are a couple of ADVP->JJ unary rewrites
-    nonTerminalInfo.put("CLP", new String[][]{{right, "M", "CLP"}});
-    //nonTerminalInfo.put("CP", new String[][] {{left, "WHNP","IP","CP","VP"}}); // this is complicated; see bracketing guide p. 34.  Actually, all WHNP are empty.  IP/CP seems to be the best semantic head; syntax would dictate DEC/ADVP. Using IP/CP/VP/M is INCREDIBLY bad for Dep parser - lose 3% absolute.
-    nonTerminalInfo.put("CP", new String[][]{{right, "DEC", "WHNP", "WHPP"}, rightExceptPunct}); // the (syntax-oriented) right-first head rule
-    // nonTerminalInfo.put("CP", new String[][]{{right, "DEC", "ADVP", "CP", "IP", "VP", "M"}}); // the (syntax-oriented) right-first head rule
-    nonTerminalInfo.put("DNP", new String[][]{{right, "DEG", "DEC"}, rightExceptPunct}); // according to tgrep2, first preparation, all DNPs have a DEG daughter
-    nonTerminalInfo.put("DP", new String[][]{{left, "DT", "DP"}}); // there's one instance of DP adjunction
-    nonTerminalInfo.put("DVP", new String[][]{{right, "DEV", "DEC"}}); // DVP always has DEV under it
-    nonTerminalInfo.put("FRAG", new String[][]{{right, "VV", "NN"}, rightExceptPunct}); //FRAG seems only to be used for bits at the beginnings of articles: "Xinwenshe<DATE>" and "(wan)"
-    nonTerminalInfo.put("INTJ", new String[][]{{right, "INTJ", "IJ", "SP"}});
-    nonTerminalInfo.put("IP", new String[][]{{left, "VP", "IP"}, rightExceptPunct});  // CDM July 2010 following email from Pi-Chuan changed preference to VP over IP: IP can be -SBJ, -OBJ, or -ADV, and shouldn't be head
-    nonTerminalInfo.put("LCP", new String[][]{{right, "LC", "LCP"}}); // there's a bit of LCP adjunction
-    nonTerminalInfo.put("LST", new String[][]{{right, "CD", "PU"}}); // covers all examples
-    nonTerminalInfo.put("NP", new String[][]{{right, "NN", "NR", "NT", "NP", "PN", "CP"}}); // Basic heads are NN/NR/NT/NP; PN is pronoun.  Some NPs are nominalized relative clauses without overt nominal material; these are NP->CP unary rewrites.  Finally, note that this doesn't give any special treatment of coordination.
-    nonTerminalInfo.put("PP", new String[][]{{left, "P", "PP"}}); // in the manual there's an example of VV heading PP but I couldn't find such an example with tgrep2
-    // cdm 2006: PRN changed to not choose punctuation.  Helped parsing (if not significantly)
-    // nonTerminalInfo.put("PRN", new String[][]{{left, "PU"}}); //presumably left/right doesn't matter
-    nonTerminalInfo.put("PRN", new String[][]{{left, "NP", "VP", "IP", "QP", "PP", "ADJP", "CLP", "LCP"}, {rightdis, "NN", "NR", "NT", "FW"}});
-    // cdm 2006: QP: add OD -- occurs some; occasionally NP, NT, M; parsing performance no-op
-    nonTerminalInfo.put("QP", new String[][]{{right, "QP", "CLP", "CD", "OD", "NP", "NT", "M"}}); // there's some QP adjunction
-    // add OD?
-    nonTerminalInfo.put("UCP", new String[][]{{left, }}); //an alternative would be "PU","CC"
-    nonTerminalInfo.put("VP", new String[][]{{left, "VP", "VCD", "VPT", "VV", "VCP", "VA", "VC", "VE", "IP", "VSB", "VCP", "VRD", "VNV"}, leftExceptPunct}); //note that ba and long bei introduce IP-OBJ small clauses; short bei introduces VP
-    // add BA, LB, as needed
-
-    // verb compounds
-    nonTerminalInfo.put("VCD", new String[][]{{left, "VCD", "VV", "VA", "VC", "VE"}}); // could easily be right instead
-    nonTerminalInfo.put("VCP", new String[][]{{left, "VCD", "VV", "VA", "VC", "VE"}}); // not much info from documentation
-    nonTerminalInfo.put("VRD", new String[][]{{left, "VCD", "VRD", "VV", "VA", "VC", "VE"}}); // definitely left
-    nonTerminalInfo.put("VSB", new String[][]{{right, "VCD", "VSB", "VV", "VA", "VC", "VE"}}); // definitely right, though some examples look questionably classified (na2lai2 zhi1fu4)
-    nonTerminalInfo.put("VNV", new String[][]{{left, "VV", "VA", "VC", "VE"}}); // left/right doesn't matter
-    nonTerminalInfo.put("VPT", new String[][]{{left, "VV", "VA", "VC", "VE"}}); // activity verb is to the left
-
-    // some POS tags apparently sit where phrases are supposed to be
-    nonTerminalInfo.put("CD", new String[][]{{right, "CD"}});
-    nonTerminalInfo.put("NN", new String[][]{{right, "NN"}});
-    nonTerminalInfo.put("NR", new String[][]{{right, "NR"}});
-
-    // I'm adding these POS tags to do primitive morphology for character-level
-    // parsing.  It shouldn't affect anything else because heads of preterminals are not
-    // generally queried - GMA
-    nonTerminalInfo.put("VV", new String[][]{{left}});
-    nonTerminalInfo.put("VA", new String[][]{{left}});
-    nonTerminalInfo.put("VC", new String[][]{{left}});
-    nonTerminalInfo.put("VE", new String[][]{{left}});
-
-    // new for ctb6.
-    nonTerminalInfo.put("FLR", new String[][]{rightExceptPunct});
-  }
-
-  private static final long serialVersionUID = 6143632784691159283L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/ChineseTreebankLanguagePack.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/ChineseTreebankLanguagePack.java
deleted file mode 100644
index 4117a85..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/ChineseTreebankLanguagePack.java
+++ /dev/null
@@ -1,314 +0,0 @@
-package edu.stanford.nlp.trees.international.pennchinese;
-
-import edu.stanford.nlp.objectbank.TokenizerFactory;
-import edu.stanford.nlp.trees.*;
-import edu.stanford.nlp.util.Filter;
-import edu.stanford.nlp.util.Filters;
-import edu.stanford.nlp.ling.HasWord;
-
-
-/**
- * Language pack for the UPenn/Colorado Chinese treebank.
- * The native character set for the Chinese Treebank is GB18030.
- * This file (like the rest of JavaNLP) is in UTF-8.
- *
- * @author Roger Levy
- */
-
-public class ChineseTreebankLanguagePack extends AbstractTreebankLanguagePack {
-
-  private static final long serialVersionUID = 5757403475523638802L;
-
-  private static TokenizerFactory<? extends HasWord> tf;
-
-  public static void setTokenizerFactory(TokenizerFactory<? extends HasWord> tf) {
-    ChineseTreebankLanguagePack.tf = tf;
-  }
-
-  @Override
-  public TokenizerFactory<? extends HasWord>  getTokenizerFactory() {
-    if (tf != null) {
-      return tf;
-    } else {
-      return super.getTokenizerFactory();
-    }
-  }
-
-  public static final String ENCODING = "GB18030";
-
-  /**
-   * Return the input Charset encoding for the Treebank.
-   * See documentation for the <code>Charset</code> class.
-   *
-   * @return Name of Charset
-   */
-  @Override
-  public String getEncoding() {
-    return ENCODING;
-  }
-
-  /**
-   * Accepts a String that is a punctuation
-   * tag name, and rejects everything else.
-   *
-   * @return Whether this is a punctuation tag
-   */
-  @Override
-  public boolean isPunctuationTag(String str) {
-    return str.equals("PU");
-  }
-
-
-  /**
-   * Accepts a String that is a punctuation
-   * word, and rejects everything else.
-   * If one can't tell for sure (as for ' in the Penn Treebank), it
-   * maks the best guess that it can.
-   *
-   * @return Whether this is a punctuation word
-   */
-  @Override
-  public boolean isPunctuationWord(String str) {
-    return chineseCommaAcceptFilter().accept(str) || chineseEndSentenceAcceptFilter().accept(str) || chineseDouHaoAcceptFilter().accept(str) || chineseQuoteMarkAcceptFilter().accept(str) || chineseParenthesisAcceptFilter().accept(str) || chineseColonAcceptFilter().accept(str) || chineseDashAcceptFilter().accept(str) || chineseOtherAcceptFilter().accept(str);
-
-  }
-
-
-  /**
-   * Accepts a String that is a sentence end
-   * punctuation tag, and rejects everything else.
-   *
-   * @return Whether this is a sentence final punctuation tag
-   */
-  @Override
-  public boolean isSentenceFinalPunctuationTag(String str) {
-    return chineseEndSentenceAcceptFilter().accept(str);
-  }
-
-
-  /**
-   * Returns a String array of punctuation tags for this treebank/language.
-   *
-   * @return The punctuation tags
-   */
-  @Override
-  public String[] punctuationTags() {
-    return tags;
-  }
-
-
-  /**
-   * Returns a String array of punctuation words for this treebank/language.
-   *
-   * @return The punctuation words
-   */
-  @Override
-  public String[] punctuationWords() {
-    return punctWords;
-  }
-
-
-  /**
-   * Returns a String array of sentence final punctuation tags for this
-   * treebank/language.
-   *
-   * @return The sentence final punctuation tags
-   */
-  @Override
-  public String[] sentenceFinalPunctuationTags() {
-    return tags;
-  }
-
-  /**
-   * Returns a String array of sentence final punctuation words for this
-   * treebank/language.
-   *
-   * @return The sentence final punctuation tags
-   */
-  public String[] sentenceFinalPunctuationWords() {
-    return endSentence;
-  }
-
-  /**
-   * Accepts a String that is a punctuation
-   * tag that should be ignored by EVALB-style evaluation,
-   * and rejects everything else.
-   * Traditionally, EVALB has ignored a subset of the total set of
-   * punctuation tags in the English Penn Treebank (quotes and
-   * period, comma, colon, etc., but not brackets)
-   *
-   * @return Whether this is a EVALB-ignored punctuation tag
-   */
-  @Override
-  public boolean isEvalBIgnoredPunctuationTag(String str) {
-    return Filters.collectionAcceptFilter(tags).accept(str);
-  }
-
-
-  /**
-   * The first 3 are used by the Penn Treebank; # is used by the
-   * BLLIP corpus, and ^ and ~ are used by Klein's
-   * lexparser. Identical to PennTreebankLanguagePack.
-   */
-  private static final char[] annotationIntroducingChars = {'-', '=', '|', '#', '^', '~'};
-
-
-  /**
-   * Return an array of characters at which a String should be
-   * truncated to give the basic syntactic category of a label.
-   * The idea here is that Penn treebank style labels follow a syntactic
-   * category with various functional and crossreferencing information
-   * introduced by special characters (such as "NP-SBJ=1").  This would
-   * be truncated to "NP" by the array containing '-' and "=".
-   *
-   * @return An array of characters that set off label name suffixes
-   */
-  @Override
-  public char[] labelAnnotationIntroducingCharacters() {
-    return annotationIntroducingChars;
-  }
-
-
-  /**
-   * This is valid for "BobChrisTreeNormalizer" conventions
-   * only. Again, identical to PennTreebankLanguagePack.
-   */
-  private static final String[] startSymbols = {"ROOT"};
-
-  /**
-   * Returns a String array of treebank start symbols.
-   *
-   * @return The start symbols
-   */
-  @Override
-  public String[] startSymbols() {
-    return startSymbols;
-  }
-
-
-  private static final String[] tags = {"PU"};
-  private static final String[] comma = {",", "，", "　"};  // 　last is an "ideographic space"...?
-  private static final String[] endSentence = {"。", "．", "！", "？", "?", "!", "."};
-  private static final String[] douHao = {"、"};
-  private static final String[] quoteMark = {"“", "”", "‘", "’", "《", "》", "『", "』", "〈", "〉",
-          "「", "」", "＂", "＜", "＞", "'", "`", "＇", "｀", "｢", "｣"};
-  private static final String[] parenthesis = {"（", "）", "-LRB-", "-RRB-", "【", "】",
-          "〔", "〖", "〘", "〚", "｟", "〕", "〗", "〙", "〛", "｠" };  // ( and ) still must be escaped
-  private static final String[] colon = {"：", "；", "∶", ":"};
-  private static final String[] dash = {"…", "—", "——", "———",
-          "－", "－－", "──", "━", "━━", "—－",
-          "-", "----", "~", "……", "～",
-          "．．．" /* 3 full width dots as ellipsis */ };
-  private static final String[] other = {"·", "／", "／", "＊", "＆", "/", "//", "*" };  // slashes are used in urls
-
-  // Note that these next four should contain only things in quoteMark and parenthesis.  All such things are there but straight quotes
-  private static final String[] leftQuoteMark = {"“", "‘", "《", "『", "〈", "「", "＜", "`", "｀", "｢"};
-  private static final String[] rightQuoteMark = {"”", "’", "》", "』", "〉", "」", "＞", "＇", "｣"};
-  private static final String[] leftParenthesis = {"（", "-LRB-", "【", "〔", "〖", "〘", "〚", "｟"};
-  private static final String[] rightParenthesis = {"）", "-RRB-", "】", "〕", "〗", "〙", "〛", "｠"};
-// "〔", "〖", "〘", "〚", "｟", "〕", "〗", "〙", "〛", "｠"
-
-  private static final String[] punctWords;
-
-  static {
-    final int n = comma.length + endSentence.length + douHao.length + quoteMark.length + parenthesis.length + colon.length + dash.length +
-            other.length + leftQuoteMark.length + rightQuoteMark.length + leftParenthesis.length + rightParenthesis.length;
-    punctWords = new String[n];
-    int m = 0;
-    System.arraycopy(comma, 0, punctWords, m, comma.length);
-    m += comma.length;
-    System.arraycopy(endSentence, 0, punctWords, m, endSentence.length);
-    m += endSentence.length;
-    System.arraycopy(douHao, 0, punctWords, m, douHao.length);
-    m += douHao.length;
-    System.arraycopy(quoteMark, 0, punctWords, m, quoteMark.length);
-    m += quoteMark.length;
-    System.arraycopy(parenthesis, 0, punctWords, m, parenthesis.length);
-    m += parenthesis.length;
-    System.arraycopy(colon, 0, punctWords, m, colon.length);
-    m += colon.length;
-    System.arraycopy(dash, 0, punctWords, m, dash.length);
-    m += dash.length;
-    System.arraycopy(other, 0, punctWords, m, other.length);
-    m += other.length;
-  }
-
-  public static Filter<String> chineseCommaAcceptFilter() {
-    return Filters.collectionAcceptFilter(comma);
-  }
-
-  public static Filter<String> chineseEndSentenceAcceptFilter() {
-    return Filters.collectionAcceptFilter(endSentence);
-  }
-
-  public static Filter<String> chineseDouHaoAcceptFilter() {
-    return Filters.collectionAcceptFilter(douHao);
-  }
-
-  public static Filter<String> chineseQuoteMarkAcceptFilter() {
-    return Filters.collectionAcceptFilter(quoteMark);
-  }
-
-  public static Filter<String> chineseParenthesisAcceptFilter() {
-    return Filters.collectionAcceptFilter(parenthesis);
-  }
-
-  public static Filter<String> chineseColonAcceptFilter() {
-    return Filters.collectionAcceptFilter(colon);
-  }
-
-  public static Filter<String> chineseDashAcceptFilter() {
-    return Filters.collectionAcceptFilter(dash);
-  }
-
-  public static Filter<String> chineseOtherAcceptFilter() {
-    return Filters.collectionAcceptFilter(other);
-  }
-
-
-  public static Filter<String> chineseLeftParenthesisAcceptFilter() {
-    return Filters.collectionAcceptFilter(leftParenthesis);
-  }
-
-  public static Filter<String> chineseRightParenthesisAcceptFilter() {
-    return Filters.collectionAcceptFilter(rightParenthesis);
-  }
-
-  public static Filter<String> chineseLeftQuoteMarkAcceptFilter() {
-    return Filters.collectionAcceptFilter(leftQuoteMark);
-  }
-
-  public static Filter<String> chineseRightQuoteMarkAcceptFilter() {
-    return Filters.collectionAcceptFilter(rightQuoteMark);
-  }
-
-  /**
-   * Returns the extension of treebank files for this treebank.
-   * This is "fid".
-   */
-  public String treebankFileExtension() {
-    return "fid";
-  }
-
-  @Override
-  public GrammaticalStructureFactory grammaticalStructureFactory() {
-    return new GrammaticalStructureFactory("edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure");
-  }
-
-  @Override
-  public GrammaticalStructureFactory grammaticalStructureFactory(Filter<String> puncFilt) {
-    return new GrammaticalStructureFactory("edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure", puncFilt);
-  }
-
-  @Override
-  public TreeReaderFactory treeReaderFactory() {
-    final TreeNormalizer tn = new BobChrisTreeNormalizer();
-    return new CTBTreeReaderFactory(tn);
-  }
-
-  /** {@inheritDoc} */
-  public HeadFinder headFinder() {
-    return new ChineseHeadFinder(this);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/FragDiscardingPennTreeReader.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/FragDiscardingPennTreeReader.java
deleted file mode 100644
index 1614e75..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/international/pennchinese/FragDiscardingPennTreeReader.java
+++ /dev/null
@@ -1,43 +0,0 @@
-package edu.stanford.nlp.trees.international.pennchinese;
-
-import edu.stanford.nlp.process.Tokenizer;
-import edu.stanford.nlp.trees.PennTreeReader;
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.TreeFactory;
-import edu.stanford.nlp.trees.TreeNormalizer;
-
-import java.io.*;
-
-/**
- * @author Galen Andrew
- */
-public class FragDiscardingPennTreeReader extends PennTreeReader {
-  public FragDiscardingPennTreeReader(Reader in, TreeFactory tf, TreeNormalizer tn, Tokenizer<String> tk) {
-    super(in, tf, tn, tk);
-  }
-
-//  private static PrintWriter pw;
-//
-//  static {
-//    try {
-//      if (false) {
-//        pw = new PrintWriter(new OutputStreamWriter(new FileOutputStream("discardedFRAGs.chi"), "GB18030"), true);
-//      }
-//    } catch (Exception e) {
-//      throw new RuntimeException("");
-//    }
-//  }
-
-  @Override
-  public Tree readTree() throws IOException {
-    Tree tr = super.readTree();
-    while (tr != null && tr.firstChild().value().equals("FRAG")) {
-//      if (pw != null) {
-//        pw.println("Discarding Tree:");
-//        tr.pennPrint(pw);
-//      }
-      tr = super.readTree();
-    }
-    return tr;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/CoordinationPattern.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/CoordinationPattern.java
deleted file mode 100644
index 1212379..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/CoordinationPattern.java
+++ /dev/null
@@ -1,194 +0,0 @@
-package edu.stanford.nlp.trees.tregex;
-
-import edu.stanford.nlp.trees.Tree;
-
-import java.util.Iterator;
-import java.util.List;
-import java.util.Map;
-
-class CoordinationPattern extends TregexPattern {
-
-  private final boolean isConj;
-  private final List<TregexPattern> children;
-  private final boolean changesVariables;
-
-  /* if isConj is true, then it is an "AND" ; if it is false, it is an "OR".*/
-  public CoordinationPattern(List<TregexPattern> children, boolean isConj) {
-    if (children.size() < 2) {
-      throw new RuntimeException("Coordination node must have at least 2 children.");
-    }
-    this.children = children;
-    this.isConj = isConj;
-    boolean changesVariables = false;
-    for (TregexPattern child : children) {
-      if (child.getChangesVariables()) {
-        changesVariables = true;
-      }
-    }
-    this.changesVariables = changesVariables;
-    //    System.out.println("Made " + (isConj ? "and " : "or ") + "node with " + children.size() + " children.");
-  }
-
-  @Override
-  public List<TregexPattern> getChildren() {
-    return children;
-  }
-
-  @Override
-  public String localString() {
-    return (isConj ? "and" : "or");
-  }
-
-  @Override
-  public String toString() {
-    StringBuilder sb = new StringBuilder();
-    if (isConj) {
-      for (TregexPattern node : children) {
-        sb.append(node.toString());
-      }
-    } else {
-      sb.append('[');
-      for (Iterator<TregexPattern> iter = children.iterator(); iter.hasNext();) {
-        TregexPattern node = iter.next();
-        sb.append(node.toString());
-        if (iter.hasNext()) {
-          sb.append(" |");
-        }
-      }
-      sb.append(']');
-    }
-    return sb.toString();
-  }
-
-  @Override
-  boolean getChangesVariables() {
-    return changesVariables;
-  }
-
-  @Override
-  public TregexMatcher matcher(Tree root, Tree tree, Map<String, Tree> namesToNodes, VariableStrings variableStrings) {
-    return new CoordinationMatcher(this, root, tree, namesToNodes,variableStrings);
-  }
-
-  private static class CoordinationMatcher extends TregexMatcher {
-    private TregexMatcher[] children;
-    private final CoordinationPattern myNode;
-    private int currChild;
-    private final boolean considerAll;
-    // do all con/dis-juncts have to be considered to determine a match?
-    // i.e. true if conj and not negated or disj and negated
-
-    public CoordinationMatcher(CoordinationPattern n, Tree root, Tree tree, Map<String, Tree> namesToNodes, VariableStrings variableStrings) {
-      super(root, tree, namesToNodes,variableStrings);
-      myNode = n;
-      children = new TregexMatcher[myNode.children.size()];
-      for (int i = 0; i < children.length; i++) {
-        TregexPattern node = myNode.children.get(i);
-        children[i] = node.matcher(root, tree, namesToNodes,variableStrings);
-      }
-      currChild = 0;
-      considerAll = myNode.isConj ^ myNode.isNegated();
-    }
-
-    @Override
-    void resetChildIter() {
-      currChild = 0;
-      for (int i = 0; i < children.length; i++) {
-        children[i].resetChildIter();
-      }
-    }
-
-    @Override
-    void resetChildIter(Tree tree) {
-      this.tree = tree;
-      currChild = 0;
-      for (int i = 0; i < children.length; i++) {
-        children[i].resetChildIter(tree);
-      }
-    }
-
-    @Override
-    boolean getChangesVariables() {
-      return myNode.getChangesVariables();
-    }
-
-    // find the next local match
-    @Override
-    public boolean matches() {  // also known as "FUN WITH LOGIC"
-      if (considerAll) {
-        // these are the cases where all children must be considered to match
-        if (currChild < 0) {
-          // a past call to this node either got that it failed
-          // matching or that it was a negative match that succeeded,
-          // which we only want to accept once
-          return myNode.isOptional();
-        }
-
-        // we must have happily reached the end of a match the last
-        // time we were here
-        if (currChild == children.length) {
-          --currChild;
-        }
-
-        while (true) {
-          if (myNode.isNegated() != children[currChild].matches()) {
-            // This node is set correctly.  Move on to the next node
-            ++currChild;
-
-            if (currChild == children.length) {
-              // yay, all nodes matched.
-              if (myNode.isNegated()) {
-                // a negated node should only match once (before being reset)
-                currChild = -1;
-              }
-              return true;
-            }
-          } else {
-            // oops, this didn't work.
-            children[currChild].resetChildIter();
-            // go backwards to see if we can continue matching from an
-            // earlier location.
-            // TODO: perhaps there should be a version where we only
-            // care about new assignments to the root, or new
-            // assigments to the root and variables, in which case we
-            // could make use of getChangesVariables() to optimize how
-            // many nodes we can skip past
-            --currChild;
-            if (currChild < 0) {
-              return myNode.isOptional();
-            }
-          }
-        }
-      } else { 
-        // these are the cases where a single child node can make you match
-        for (; currChild < children.length; currChild++) {
-          if (myNode.isNegated() != children[currChild].matches()) {
-            // a negated node should only match once (before being reset)
-            if (myNode.isNegated()) {
-              currChild = children.length;
-            }
-            return true;
-          }
-        }
-        if (myNode.isNegated()) {
-          currChild = children.length;
-        }
-        for (int resetChild = 0; resetChild < currChild; ++resetChild) {
-          // clean up variables that may have been set in previously
-          // accepted nodes
-          children[resetChild].resetChildIter();
-        }
-        return myNode.isOptional();
-      }
-    }
-
-    @Override
-    public Tree getMatch() {
-      // only DescriptionNodes can match
-      throw new UnsupportedOperationException();
-    }
-  } // end private class CoordinationMatcher
-
-  private static final long serialVersionUID = -7797084959452603087L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/DescriptionPattern.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/DescriptionPattern.java
deleted file mode 100644
index 51dd3cc..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/DescriptionPattern.java
+++ /dev/null
@@ -1,349 +0,0 @@
-package edu.stanford.nlp.trees.tregex;
-
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.trees.ParentalTreeWrapper;
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.util.Pair;
-
-import java.util.*;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-class DescriptionPattern extends TregexPattern {
-
-  private final Relation rel;
-  private final boolean negDesc;
-  private final Pattern descPattern;
-  private final String stringDesc;
-  /** The name to give the matched node */
-  private final String name;
-  /** If this pattern is a link, this is the node linked to */
-  private final String linkedName;
-  private final boolean isLink;
-  // todo: conceptually final, but we'd need to rewrite TregexParser
-  // to make it so.
-  private TregexPattern child; 
-  // also conceptually final, but it depends on the child
-  /**
-   * whether or not this node can change variables.  helps determine
-   * which nodes to change when backtracking
-   */
-  private boolean changesVariables;
-  private final List<Pair<Integer,String>> variableGroups; // specifies the groups in a regex that are captured as matcher-global string variables
-
-  private final Function<String, String> basicCatFunction;
-
-  public DescriptionPattern(Relation rel, boolean negDesc, String desc, 
-                            String name, boolean useBasicCat, 
-                            List<Pair<Integer,String>> variableGroups, 
-                            boolean isLink, String linkedName) {
-    this.rel = rel;
-    this.negDesc = negDesc;
-    this.isLink = isLink;
-    this.linkedName = linkedName;
-    if (desc != null) {
-      stringDesc = desc;
-      if (desc.equals("__")) {
-        descPattern = Pattern.compile(".*");
-      } else if (desc.matches("/.*/")) {
-        descPattern = Pattern.compile(desc.substring(1, desc.length() - 1));
-      } else { // raw description
-        descPattern = Pattern.compile("^(" + desc + ")$");
-      }
-    } else {
-      assert name != null;
-      stringDesc = " ";
-      descPattern = null;
-    }
-    this.name = name;
-    setChild(null);
-    this.basicCatFunction = (useBasicCat ? currentBasicCatFunction : null);
-    //    System.out.println("Made " + (negDesc ? "negated " : "") + "DescNode with " + desc);
-    this.variableGroups = variableGroups;
-  }
-
-  @Override
-  public String localString() {
-    return rel.toString() + ' ' + (negDesc ? "!" : "") + (basicCatFunction != null ? "@" : "") + stringDesc + (name == null ? "" : '=' + name);
-  }
-
-  @Override
-  public String toString() {
-    StringBuilder sb = new StringBuilder();
-    if (isNegated()) {
-      sb.append('!');
-    }
-    if (isOptional()) {
-      sb.append('?');
-    }
-    sb.append(rel.toString());
-    sb.append(' ');
-    if (child != null) {
-      sb.append('(');
-    }
-    if (negDesc) {
-      sb.append('!');
-    }
-    if (basicCatFunction != null) {
-      sb.append('@');
-    }
-    sb.append(stringDesc);
-    if (isLink) {
-      sb.append("~");
-      sb.append(linkedName);
-    }
-    if (name != null) {
-      sb.append('=');
-      sb.append(name);
-    }
-    sb.append(' ');
-    if (child != null) {
-      sb.append(child.toString());
-      sb.append(')');
-    }
-    return sb.toString();
-  }
-
-  public void setChild(TregexPattern n) {
-    child = n;
-    changesVariables = ((descPattern != null || isLink) && name != null);
-    changesVariables = (changesVariables || 
-                        (child != null && child.getChangesVariables()));
-  }
-
-  @Override
-  public List<TregexPattern> getChildren() {
-    if (child == null) {
-      return Collections.emptyList();
-    } else {
-      return Collections.singletonList(child);
-    }
-  }
-
-  @Override
-  boolean getChangesVariables() {
-    return changesVariables;
-  }
-
-  @Override
-  public TregexMatcher matcher(Tree root, Tree tree, 
-                               Map<String, Tree> namesToNodes, 
-                               VariableStrings variableStrings) {
-    return new DescriptionMatcher(this, root, tree, namesToNodes,
-                                  variableStrings);
-  }
-
-  // TODO: Why is this a static class with a pointer to the containing
-  // class?  There seems to be no reason for such a thing
-  private static class DescriptionMatcher extends TregexMatcher {
-    private Iterator<Tree> treeNodeMatchCandidateIterator;
-    private final DescriptionPattern myNode;
-    private TregexMatcher childMatcher; // a DescriptionMatcher only has a single child; if it is the left side of multiple relations, a CoordinationMatcher is used.
-    private Tree nextTreeNodeMatchCandidate; // the Tree node that this DescriptionMatcher node is trying to match on.
-    private boolean finished = false; // when finished = true, it means I have exhausted my potential tree node match candidates.
-    private boolean matchedOnce = false;
-    private boolean committedVariables = false;
-
-    // universal: childMatcher is null if and only if
-    // myNode.child == null OR resetChild has never been called
-
-    public DescriptionMatcher(DescriptionPattern n, Tree root, Tree tree, Map<String, Tree> namesToNodes, VariableStrings variableStrings) {
-      super(root, tree, namesToNodes,variableStrings);
-      myNode = n;
-      resetChildIter();
-    }
-
-    @Override
-    void resetChildIter() {
-      decommitVariableGroups();
-      removeNamedNodes();
-      treeNodeMatchCandidateIterator = myNode.rel.searchNodeIterator(tree, root);
-      finished = false;
-      nextTreeNodeMatchCandidate = null;
-      if (childMatcher != null) {
-        // need to tell the children to clean up any preexisting data
-        childMatcher.resetChildIter();
-      }
-    }
-
-    private void resetChild() {
-      if (childMatcher == null) {
-        if (myNode.child == null) {
-          matchedOnce = false;
-        } else {
-          childMatcher = myNode.child.matcher(root, nextTreeNodeMatchCandidate, namesToNodes,variableStrings);
-        }
-      } else {
-        childMatcher.resetChildIter(nextTreeNodeMatchCandidate);
-      }
-    }
-
-    @Override
-    boolean getChangesVariables() {
-      return myNode.getChangesVariables();
-    }
-
-    /* goes to the next node in the tree that is a successful match to my description pattern.
-     * This is the hotspot method in running tregex, but not clear how to make it faster. */
-    // when finished = false; break; is called, it means I successfully matched.
-    private void goToNextTreeNodeMatch() {
-      decommitVariableGroups(); // make sure variable groups are free.
-      removeNamedNodes(); // if we named a node, it should now be unnamed
-      finished = true;
-      Matcher m = null;
-      while (treeNodeMatchCandidateIterator.hasNext()) {
-        nextTreeNodeMatchCandidate = treeNodeMatchCandidateIterator.next();
-        if (myNode.descPattern == null) {
-          // this is a backreference or link
-          if (myNode.isLink) {
-            Tree otherTree = namesToNodes.get(myNode.linkedName);
-            if (otherTree != null) {
-              String otherValue = myNode.basicCatFunction == null ? otherTree.value() : myNode.basicCatFunction.apply(otherTree.value());
-              String myValue = myNode.basicCatFunction == null ? nextTreeNodeMatchCandidate.value() : myNode.basicCatFunction.apply(nextTreeNodeMatchCandidate.value());
-              if (otherValue.equals(myValue)) {
-                finished = false;
-                break;
-              }
-            }
-          } else if (namesToNodes.get(myNode.name) == nextTreeNodeMatchCandidate) {
-            finished = false;
-            break;
-          }
-        } else { // try to match the description pattern.
-          // cdm: Nov 2006: Check for null label, just make found false
-          // String value = (myNode.basicCatFunction == null ? nextTreeNodeMatchCandidate.value() : myNode.basicCatFunction.apply(nextTreeNodeMatchCandidate.value()));
-          // m = myNode.descPattern.matcher(value);
-          // boolean found = m.find();
-          boolean found;
-          String value = nextTreeNodeMatchCandidate.value();
-          if (value == null) {
-            found = false;
-          } else {
-            if (myNode.basicCatFunction != null) {
-              value = myNode.basicCatFunction.apply(value);
-            }
-            m = myNode.descPattern.matcher(value);
-            found = m.find();
-          }
-          if (found) {
-            for (Pair<Integer,String> varGroup : myNode.variableGroups) { // if variables have been captured from a regex, they must match any previous matchings
-              String thisVariable = varGroup.second();
-              String thisVarString = variableStrings.getString(thisVariable);
-              if (thisVarString != null && ! thisVarString.equals(m.group(varGroup.first()))) {  // failed to match a variable
-                found = false;
-                break;
-              }
-            }
-          }
-          if (found != myNode.negDesc) {
-            finished = false;
-            break;
-          }
-        }
-      }
-      if (!finished) { // I successfully matched.
-        resetChild(); // reset my unique TregexMatcher child based on the Tree node I successfully matched at.
-        // cdm bugfix jul 2009: on next line need to check for descPattern not null, or else this is a backreference or a link to an already named node, and the map should _not_ be updated
-        if ((myNode.descPattern != null || myNode.isLink) && myNode.name != null) {
-          // note: have to fill in the map as we go for backreferencing
-          namesToNodes.put(myNode.name, nextTreeNodeMatchCandidate);
-        }
-        commitVariableGroups(m); // commit my variable groups.
-      }
-      // finished is false exiting this if and only if nextChild exists
-      // and has a label or backreference that matches
-      // (also it will just have been reset)
-    }
-
-    private void commitVariableGroups(Matcher m) {
-      committedVariables = true; // commit all my variable groups.
-      for(Pair<Integer,String> varGroup : myNode.variableGroups) {
-        String thisVarString = m.group(varGroup.first());
-        variableStrings.setVar(varGroup.second(),thisVarString);
-      }
-    }
-
-    private void decommitVariableGroups() {
-      if (committedVariables) {
-        for(Pair<Integer,String> varGroup : myNode.variableGroups) {
-          variableStrings.unsetVar(varGroup.second());
-        }
-      }
-      committedVariables = false;
-    }
-
-    private void removeNamedNodes() {
-      if ((myNode.descPattern != null || myNode.isLink) && 
-          myNode.name != null) {
-        namesToNodes.remove(myNode.name);
-      }
-    }
-
-
-    /* tries to match the unique child of the DescriptionPattern node to a Tree node.  Returns "true" if succeeds.*/
-    private boolean matchChild() {
-      // entering here (given that it's called only once in matches())
-      // we know finished is false, and either nextChild == null
-      // (meaning goToNextChild has not been called) or nextChild exists
-      // and has a label or backreference that matches
-      if (nextTreeNodeMatchCandidate == null) {  // I haven't been initialized yet, so my child certainly can't be matched yet.
-        return false;
-      }
-      if (childMatcher == null) {
-        if (!matchedOnce) {
-          matchedOnce = true;
-          return true;
-        }
-        return false;
-      }
-      return childMatcher.matches();
-    }
-
-    // find the next local match
-    @Override
-    public boolean matches() {
-      // this is necessary so that a negated/optional node matches only once
-      if (finished) {
-        return false;
-      }
-      while (!finished) {
-        if (matchChild()) {
-          if (myNode.isNegated()) {
-            // negated node only has to fail once
-            finished = true;
-            return false; // cannot be optional and negated
-          } else {
-            if (myNode.isOptional()) {
-              finished = true;
-            }
-            return true;
-          }
-        } else {
-          goToNextTreeNodeMatch();
-        }
-      }
-      if (myNode.isNegated()) { // couldn't match my relation/pattern, so succeeded!
-        return true;
-      } else { // couldn't match my relation/pattern, so failed!
-        decommitVariableGroups();
-        removeNamedNodes();
-        nextTreeNodeMatchCandidate = null;
-        // didn't match, but return true anyway if optional
-        return myNode.isOptional();
-      }
-    }
-
-    @Override
-    public Tree getMatch() {
-      if (nextTreeNodeMatchCandidate == null)
-        return null;
-      if (!(nextTreeNodeMatchCandidate instanceof ParentalTreeWrapper))
-        throw new AssertionError();
-      return ((ParentalTreeWrapper) nextTreeNodeMatchCandidate).getBackingTree();
-    }
-
-  } // end class DescriptionMatcher
-
-  private static final long serialVersionUID = 1179819056757295757L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/ParseException.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/ParseException.java
deleted file mode 100644
index 5743167..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/ParseException.java
+++ /dev/null
@@ -1,187 +0,0 @@
-/* Generated By:JavaCC: Do not edit this line. ParseException.java Version 5.0 */
-/* JavaCCOptions:KEEP_LINE_COL=null */
-package edu.stanford.nlp.trees.tregex;
-
-/**
- * This exception is thrown when parse errors are encountered.
- * You can explicitly create objects of this exception type by
- * calling the method generateParseException in the generated
- * parser.
- *
- * You can modify this class to customize your error reporting
- * mechanisms so long as you retain the public fields.
- */
-public class ParseException extends Exception {
-
-  /**
-   * The version identifier for this Serializable class.
-   * Increment only if the <i>serialized</i> form of the
-   * class changes.
-   */
-  private static final long serialVersionUID = 1L;
-
-  /**
-   * This constructor is used by the method "generateParseException"
-   * in the generated parser.  Calling this constructor generates
-   * a new object of this type with the fields "currentToken",
-   * "expectedTokenSequences", and "tokenImage" set.
-   */
-  public ParseException(Token currentTokenVal,
-                        int[][] expectedTokenSequencesVal,
-                        String[] tokenImageVal
-                       )
-  {
-    super(initialise(currentTokenVal, expectedTokenSequencesVal, tokenImageVal));
-    currentToken = currentTokenVal;
-    expectedTokenSequences = expectedTokenSequencesVal;
-    tokenImage = tokenImageVal;
-  }
-
-  /**
-   * The following constructors are for use by you for whatever
-   * purpose you can think of.  Constructing the exception in this
-   * manner makes the exception behave in the normal way - i.e., as
-   * documented in the class "Throwable".  The fields "errorToken",
-   * "expectedTokenSequences", and "tokenImage" do not contain
-   * relevant information.  The JavaCC generated code does not use
-   * these constructors.
-   */
-
-  public ParseException() {
-    super();
-  }
-
-  /** Constructor with message. */
-  public ParseException(String message) {
-    super(message);
-  }
-
-
-  /**
-   * This is the last token that has been consumed successfully.  If
-   * this object has been created due to a parse error, the token
-   * followng this token will (therefore) be the first error token.
-   */
-  public Token currentToken;
-
-  /**
-   * Each entry in this array is an array of integers.  Each array
-   * of integers represents a sequence of tokens (by their ordinal
-   * values) that is expected at this point of the parse.
-   */
-  public int[][] expectedTokenSequences;
-
-  /**
-   * This is a reference to the "tokenImage" array of the generated
-   * parser within which the parse error occurred.  This array is
-   * defined in the generated ...Constants interface.
-   */
-  public String[] tokenImage;
-
-  /**
-   * It uses "currentToken" and "expectedTokenSequences" to generate a parse
-   * error message and returns it.  If this object has been created
-   * due to a parse error, and you do not catch it (it gets thrown
-   * from the parser) the correct error message
-   * gets displayed.
-   */
-  private static String initialise(Token currentToken,
-                           int[][] expectedTokenSequences,
-                           String[] tokenImage) {
-    String eol = System.getProperty("line.separator", "\n");
-    StringBuffer expected = new StringBuffer();
-    int maxSize = 0;
-    for (int i = 0; i < expectedTokenSequences.length; i++) {
-      if (maxSize < expectedTokenSequences[i].length) {
-        maxSize = expectedTokenSequences[i].length;
-      }
-      for (int j = 0; j < expectedTokenSequences[i].length; j++) {
-        expected.append(tokenImage[expectedTokenSequences[i][j]]).append(' ');
-      }
-      if (expectedTokenSequences[i][expectedTokenSequences[i].length - 1] != 0) {
-        expected.append("...");
-      }
-      expected.append(eol).append("    ");
-    }
-    String retval = "Encountered \"";
-    Token tok = currentToken.next;
-    for (int i = 0; i < maxSize; i++) {
-      if (i != 0) retval += " ";
-      if (tok.kind == 0) {
-        retval += tokenImage[0];
-        break;
-      }
-      retval += " " + tokenImage[tok.kind];
-      retval += " \"";
-      retval += add_escapes(tok.image);
-      retval += " \"";
-      tok = tok.next;
-    }
-    retval += "\" at line " + currentToken.next.beginLine + ", column " + currentToken.next.beginColumn;
-    retval += "." + eol;
-    if (expectedTokenSequences.length == 1) {
-      retval += "Was expecting:" + eol + "    ";
-    } else {
-      retval += "Was expecting one of:" + eol + "    ";
-    }
-    retval += expected.toString();
-    return retval;
-  }
-
-  /**
-   * The end of line string for this machine.
-   */
-  protected String eol = System.getProperty("line.separator", "\n");
-
-  /**
-   * Used to convert raw characters to their escaped version
-   * when these raw version cannot be used as part of an ASCII
-   * string literal.
-   */
-  static String add_escapes(String str) {
-      StringBuffer retval = new StringBuffer();
-      char ch;
-      for (int i = 0; i < str.length(); i++) {
-        switch (str.charAt(i))
-        {
-           case 0 :
-              continue;
-           case '\b':
-              retval.append("\\b");
-              continue;
-           case '\t':
-              retval.append("\\t");
-              continue;
-           case '\n':
-              retval.append("\\n");
-              continue;
-           case '\f':
-              retval.append("\\f");
-              continue;
-           case '\r':
-              retval.append("\\r");
-              continue;
-           case '\"':
-              retval.append("\\\"");
-              continue;
-           case '\'':
-              retval.append("\\\'");
-              continue;
-           case '\\':
-              retval.append("\\\\");
-              continue;
-           default:
-              if ((ch = str.charAt(i)) < 0x20 || ch > 0x7e) {
-                 String s = "0000" + Integer.toString(ch, 16);
-                 retval.append("\\u" + s.substring(s.length() - 4, s.length()));
-              } else {
-                 retval.append(ch);
-              }
-              continue;
-        }
-      }
-      return retval.toString();
-   }
-
-}
-/* JavaCC - OriginalChecksum=8049b613a03910b8ec7a1f3acda93373 (do not edit this line) */
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/Relation.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/Relation.java
deleted file mode 100644
index 4774bdf..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/Relation.java
+++ /dev/null
@@ -1,2109 +0,0 @@
-package edu.stanford.nlp.trees.tregex;
-
-import java.io.File;
-import java.io.FileFilter;
-import java.io.Serializable;
-import java.util.*;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-import edu.stanford.nlp.io.NumberRangesFileFilter;
-import edu.stanford.nlp.trees.DiskTreebank;
-import edu.stanford.nlp.trees.HeadFinder;
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.Trees;
-import edu.stanford.nlp.trees.TreeReaderFactory;
-import edu.stanford.nlp.trees.PennTreeReaderFactory;
-import edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer;
-import edu.stanford.nlp.trees.ModCollinsHeadFinder;
-import edu.stanford.nlp.util.IdentityHashSet;
-import edu.stanford.nlp.util.Interner;
-import edu.stanford.nlp.util.Function;
-
-
-/**
- * An abstract base class for relations between tree nodes in tregex. There are
- * two types of subclasses: static anonymous singleton instantiations for
- * relations that do not require arguments, and private subclasses for those
- * with arguments. All invocations should be made through the static factory
- * methods, which insure that there is only a single instance of each relation.
- * Thus == can be used instead of .equals.
- * <p/>
- * If you want to add a new
- * relation, you just have to fill in the definition of satisfies and
- * searchNodeIterator. Also be careful to make the appropriate adjustments to
- * getRelation and SIMPLE_RELATIONS. Finally, if you are using the TregexParser,
- * you need to add the new relation symbol to the list of tokens.
- *
- * @author Galen Andrew
- * @author Roger Levy
- * @author Christopher Manning
- */
-abstract class Relation implements Serializable {
-
-
-  /**
-   *
-   */
-  private static final long serialVersionUID = -1564793674551362909L;
-
-  private String symbol;
-
-  /** Whether this relationship is satisfied between two trees.
-   *
-   * @param t1 The tree that is the left operand.
-   * @param t2 The tree that is the right operand.
-   * @param root The common root of t1 and t2
-   * @return Whether this relationship is satisfied.
-   */
-  abstract boolean satisfies(Tree t1, Tree t2, Tree root);
-
-  /**
-   * For a given node and its root, returns an {@link Iterator} over the nodes
-   * of the root tree that satisfy the relation.
-   *
-   * @param t A node in a Tree
-   * @param root The root node of the tree
-   * @return An Iterator over the nodes
-   * of the root tree that satisfy the relation.
-   */
-  abstract Iterator<Tree> searchNodeIterator(Tree t, Tree root);
-
-  private static final Pattern parentOfLastChild = Pattern.compile("(<-|<`)");
-
-  private static final Pattern lastChildOfParent = Pattern.compile("(>-|>`)");
-
-  /**
-   * Static factory method for all relations with no arguments. Includes:
-   * DOMINATES, DOMINATED_BY, PARENT_OF, CHILD_OF, PRECEDES,
-   * IMMEDIATELY_PRECEDES, HAS_LEFTMOST_DESCENDENT, HAS_RIGHTMOST_DESCENDENT,
-   * LEFTMOST_DESCENDENT_OF, RIGHTMOST_DESCENDENT_OF, SISTER_OF, LEFT_SISTER_OF,
-   * RIGHT_SISTER_OF, IMMEDIATE_LEFT_SISTER_OF, IMMEDIATE_RIGHT_SISTER_OF,
-   * HEADS, HEADED_BY, IMMEDIATELY_HEADS, IMMEDIATELY_HEADED_BY, ONLY_CHILD_OF,
-   * HAS_ONLY_CHILD, EQUALS
-   *
-   * @param s The String representation of the relation
-   * @return The singleton static relation of the specified type
-   * @throws ParseException If bad relation s
-   */
-  static Relation getRelation(String s,
-                              Function<String, String> basicCatFunction,
-                              HeadFinder headFinder) 
-    throws ParseException 
-  {
-    if (SIMPLE_RELATIONS_MAP.containsKey(s))
-      return SIMPLE_RELATIONS_MAP.get(s);
-
-    // these are shorthands for relations with arguments
-    if (s.equals("<,")) {
-      return getRelation("<", "1", basicCatFunction, headFinder);
-    } else if (parentOfLastChild.matcher(s).matches()) {
-      return getRelation("<", "-1", basicCatFunction, headFinder);
-    } else if (s.equals(">,")) {
-      return getRelation(">", "1", basicCatFunction, headFinder);
-    } else if (lastChildOfParent.matcher(s).matches()) {
-      return getRelation(">", "-1", basicCatFunction, headFinder);
-    }
-
-    // finally try relations with headFinders
-    Relation r;
-    if (s.equals(">>#")) {
-      r = new Heads(headFinder);
-    } else if (s.equals("<<#")) {
-      r = new HeadedBy(headFinder);
-    } else if (s.equals(">#")) {
-      r = new ImmediatelyHeads(headFinder);
-    } else if (s.equals("<#")) {
-      r = new ImmediatelyHeadedBy(headFinder);
-    } else {
-      throw new ParseException("Unrecognized simple relation " + s);
-    }
-
-    return Interner.globalIntern(r);
-  }
-
-  /**
-   * Static factory method for relations requiring an argument, including
-   * HAS_ITH_CHILD, ITH_CHILD_OF, UNBROKEN_CATEGORY_DOMINATES,
-   * UNBROKEN_CATEGORY_DOMINATED_BY.
-   *
-   * @param s The String representation of the relation
-   * @param arg The argument to the relation, as a string; could be a node
-   *          description or an integer
-   * @return The singleton static relation of the specified type with the
-   *         specified argument. Uses Interner to insure singleton-ity
-   * @throws ParseException If bad relation s
-   */
-  static Relation getRelation(String s, String arg,
-                              Function<String,String> basicCatFunction,
-                              HeadFinder headFinder) 
-    throws ParseException 
-  {
-    if (arg == null) {
-      return getRelation(s, basicCatFunction, headFinder);
-    }
-    Relation r;
-    if (s.equals("<")) {
-      r = new HasIthChild(Integer.parseInt(arg));
-    } else if (s.equals(">")) {
-      r = new IthChildOf(Integer.parseInt(arg));
-    } else if (s.equals("<+")) {
-      r = new UnbrokenCategoryDominates(arg, basicCatFunction);
-    } else if (s.equals(">+")) {
-      r = new UnbrokenCategoryIsDominatedBy(arg, basicCatFunction);
-    } else if (s.equals(".+")) {
-      r = new UnbrokenCategoryPrecedes(arg, basicCatFunction);
-    } else if (s.equals(",+")) {
-      r = new UnbrokenCategoryFollows(arg, basicCatFunction);
-    } else {
-      throw new ParseException("Unrecognized compound relation " + s + ' '
-          + arg);
-    }
-    return Interner.globalIntern(r);
-  }
-
-  private Relation(String symbol) {
-    this.symbol = symbol;
-  }
-
-  @Override
-  public String toString() {
-    return symbol;
-  }
-
-  private boolean testRelation(Tree t, Tree root) {
-    Collection<Tree> sat = new HashSet<Tree>();
-    boolean error = false;
-    for (Iterator<Tree> iter = searchNodeIterator(t, root); iter.hasNext();) {
-      Tree satTree = iter.next();
-      if (!satisfies(t, satTree, root)) {
-        System.err.println("Subtree " + satTree.value()
-            + " does not satisfy rel " + this + " with subtree " + t.value());
-        error = true;
-      }
-      sat.add(satTree);
-    }
-    Collection<Tree> unSat = root.subTrees();
-    unSat.removeAll(sat);
-    for (Tree unSatTree : unSat) {
-      if (satisfies(t, unSatTree, root)) {
-        System.err.println("Subtree " + unSatTree.value() + " satisfies rel "
-                + this + " with subtree " + t.value());
-        error = true;
-      }
-    }
-    if (error) {
-      System.err.println("SatisfyingNodes:");
-      System.err.println(sat);
-    }
-    return error;
-  }
-
-  /**
-   * For testing.
-   */
-  public static void main(String[] args) {
-    if (args.length < 2) {
-      System.err.println("usage: Relation treebank numberRanges");
-      return;
-    }
-    FileFilter testFilt = new NumberRangesFileFilter(args[1], true);
-    TreeReaderFactory trf = 
-      new PennTreeReaderFactory(new NPTmpRetainingTreeNormalizer());
-    DiskTreebank testTreebank = new DiskTreebank(trf);
-    testTreebank.loadPath(new File(args[0]), testFilt);
-    HeadFinder hf = new ModCollinsHeadFinder();
-    Function<String, String> basicCatFunction = 
-      TregexPatternCompiler.DEFAULT_BASIC_CAT_FUNCTION;
-    List<Relation> relations = new ArrayList<Relation>();
-    relations.addAll(Arrays.asList(SIMPLE_RELATIONS));
-    relations.add(new HasIthChild(2));
-    relations.add(new HasIthChild(-1));
-    relations.add(new IthChildOf(1));
-    relations.add(new IthChildOf(-2));
-    relations.add(new HeadedBy(hf));
-    relations.add(new Heads(hf));
-    relations.add(new ImmediatelyHeadedBy(hf));
-    relations.add(new ImmediatelyHeads(hf));
-    relations.add(new UnbrokenCategoryDominates("NP", basicCatFunction));
-    relations.add(new UnbrokenCategoryDominates("VP", basicCatFunction));
-    relations.add(new UnbrokenCategoryIsDominatedBy("NP", basicCatFunction));
-    relations.add(new UnbrokenCategoryIsDominatedBy("VP", basicCatFunction));
-    int trees = 0, subtrees = 0;
-    for (Tree root : testTreebank) {
-      for (Tree tree : root.subTrees()) {
-        boolean error = false;
-        for (Relation relation : relations) {
-          error = error || relation.testRelation(tree, root);
-        }
-        if (error) {
-          System.err.println("Tree: ");
-          root.pennPrint(System.err);
-          System.err.println();
-          System.err.println("SubTree: ");
-          tree.pennPrint(System.err);
-          System.err.println();
-          System.exit(0);
-        }
-        subtrees++;
-      }
-      trees++;
-    }
-    System.out.println("Tested all relations on " + subtrees
-        + " subtrees in " + trees + " trees with no errors.");
-  }
-
-  /**
-   * This abstract Iterator implements a NULL iterator, but by subclassing and
-   * overriding advance and/or initialize, it is an efficient implementation.
-   */
-  abstract static class SearchNodeIterator implements Iterator<Tree> {
-    public SearchNodeIterator() {
-      initialize();
-    }
-
-    /**
-     * This is the next tree to be returned by the iterator, or null if there
-     * are no more items.
-     */
-    Tree next = null;
-
-    /**
-     * This method must insure that next points to first item, or null if there
-     * are no items.
-     */
-    void initialize() {
-      advance();
-    }
-
-    /**
-     * This method must insure that next points to next item, or null if there
-     * are no more items.
-     */
-    void advance() {
-      next = null;
-    }
-
-    public boolean hasNext() {
-      return next != null;
-    }
-
-    public Tree next() {
-      if (next == null) {
-        throw new NoSuchElementException();
-      }
-      Tree ret = next;
-      advance();
-      return ret;
-    }
-
-    public void remove() {
-      throw new UnsupportedOperationException(
-          "SearchNodeIterator does not support remove().");
-    }
-  }
-
-  static final Relation ROOT = new Relation("Root") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = -8311913236233762612L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return t1 == t2;
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          next = t;
-        }
-      };
-    }
-  };
-
-  static final Relation EQUALS = new Relation("==") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 164629344977943816L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return t1 == t2;
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(Tree t, Tree root) {
-      return Collections.singletonList(t).iterator();
-    }
-
-  };
-
-  /* this is a "dummy" relation that allows you to segment patterns. */
-  private static final Relation PATTERN_SPLITTER = new Relation(":") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 3409941930361386114L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return true;
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(Tree t, Tree root) {
-      return root.iterator();
-    }
-  };
-
-  static final Relation DOMINATES = new Relation("<<") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = -2580199434621268260L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return t1 != t2 && t1.dominates(t2);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        Stack<Tree> searchStack;
-
-        @Override
-        public void initialize() {
-          searchStack = new Stack<Tree>();
-          for (int i = t.numChildren() - 1; i >= 0; i--) {
-            searchStack.push(t.getChild(i));
-          }
-          if (!searchStack.isEmpty()) {
-            advance();
-          }
-        }
-
-        @Override
-        void advance() {
-          if (searchStack.isEmpty()) {
-            next = null;
-          } else {
-            next = searchStack.pop();
-            for (int i = next.numChildren() - 1; i >= 0; i--) {
-              searchStack.push(next.getChild(i));
-            }
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation DOMINATED_BY = new Relation(">>") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 6140614010121387690L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return DOMINATES.satisfies(t2, t1, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          next = t.parent(root);
-        }
-
-        @Override
-        public void advance() {
-          next = next.parent(root);
-        }
-      };
-    }
-  };
-
-  static final Relation PARENT_OF = new Relation("<") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 9140193735607580808L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      Tree[] kids = t1.children();
-      for (int i = 0, n = kids.length; i < n; i++) {
-        if (kids[i] == t2) {
-          return true;
-        }
-      }
-      return false;
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        int nextNum; // subtle bug warning here: if we use int nextNum=0;
-
-        // instead,
-
-        // we get the first daughter twice because the assignment occurs after
-        // advance() has already been
-        // called once by the constructor of SearchNodeIterator.
-
-        @Override
-        public void advance() {
-          if (nextNum < t.numChildren()) {
-            next = t.getChild(nextNum);
-            nextNum++;
-          } else {
-            next = null;
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation CHILD_OF = new Relation(">") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 8919710375433372537L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return PARENT_OF.satisfies(t2, t1, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          next = t.parent(root);
-        }
-      };
-    }
-  };
-
-  static final Relation PRECEDES = new Relation("..") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = -9065012389549976867L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return Trees.rightEdge(t1, root) <= Trees.leftEdge(t2, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        Stack<Tree> searchStack;
-
-        @Override
-        public void initialize() {
-          searchStack = new Stack<Tree>();
-          Tree current = t;
-          Tree parent = t.parent(root);
-          while (parent != null) {
-            for (int i = parent.numChildren() - 1; parent.getChild(i) != current; i--) {
-              searchStack.push(parent.getChild(i));
-            }
-            current = parent;
-            parent = parent.parent(root);
-          }
-          advance();
-        }
-
-        @Override
-        void advance() {
-          if (searchStack.isEmpty()) {
-            next = null;
-          } else {
-            next = searchStack.pop();
-            for (int i = next.numChildren() - 1; i >= 0; i--) {
-              searchStack.push(next.getChild(i));
-            }
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation IMMEDIATELY_PRECEDES = new Relation(".") {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = 3390147676937292768L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return Trees.leftEdge(t2, root) == Trees.rightEdge(t1, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          Tree current;
-          Tree parent = t;
-          do {
-            current = parent;
-            parent = parent.parent(root);
-            if (parent == null) {
-              next = null;
-              return;
-            }
-          } while (parent.lastChild() == current);
-
-          for (int i = 1, n = parent.numChildren(); i < n; i++) {
-            if (parent.getChild(i - 1) == current) {
-              next = parent.getChild(i);
-              return;
-            }
-          }
-        }
-
-        @Override
-        public void advance() {
-          if (next.isLeaf()) {
-            next = null;
-          } else {
-            next = next.firstChild();
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation FOLLOWS = new Relation(",,") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = -5948063114149496983L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return Trees.rightEdge(t2, root) <= Trees.leftEdge(t1, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        Stack<Tree> searchStack;
-
-        @Override
-        public void initialize() {
-          searchStack = new Stack<Tree>();
-          Tree current = t;
-          Tree parent = t.parent(root);
-          while (parent != null) {
-            for (int i = 0; parent.getChild(i) != current; i++) {
-              searchStack.push(parent.getChild(i));
-            }
-            current = parent;
-            parent = parent.parent(root);
-          }
-          advance();
-        }
-
-        @Override
-        void advance() {
-          if (searchStack.isEmpty()) {
-            next = null;
-          } else {
-            next = searchStack.pop();
-            for (int i = next.numChildren() - 1; i >= 0; i--) {
-              searchStack.push(next.getChild(i));
-            }
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation IMMEDIATELY_FOLLOWS = new Relation(",") {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = -2895075562891296830L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return Trees.leftEdge(t1, root) == Trees.rightEdge(t2, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          Tree current;
-          Tree parent = t;
-          do {
-            current = parent;
-            parent = parent.parent(root);
-            if (parent == null) {
-              next = null;
-              return;
-            }
-          } while (parent.firstChild() == current);
-
-          for (int i = 0, n = parent.numChildren() - 1; i < n; i++) {
-            if (parent.getChild(i + 1) == current) {
-              next = parent.getChild(i);
-              return;
-            }
-          }
-        }
-
-        @Override
-        public void advance() {
-          if (next.isLeaf()) {
-            next = null;
-          } else {
-            next = next.lastChild();
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation HAS_LEFTMOST_DESCENDENT = new Relation("<<,") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = -7352081789429366726L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      if (t1.isLeaf()) {
-        return false;
-      } else {
-        return (t1.children()[0] == t2)
-            || satisfies(t1.children()[0], t2, root);
-      }
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          next = t;
-          advance();
-        }
-
-        @Override
-        public void advance() {
-          if (next.isLeaf()) {
-            next = null;
-          } else {
-            next = next.firstChild();
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation HAS_RIGHTMOST_DESCENDENT = new Relation("<<-") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = -1405509785337859888L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      if (t1.isLeaf()) {
-        return false;
-      } else {
-        Tree lastKid = t1.children()[t1.children().length - 1];
-        return (lastKid == t2) || satisfies(lastKid, t2, root);
-      }
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          next = t;
-          advance();
-        }
-
-        @Override
-        public void advance() {
-          if (next.isLeaf()) {
-            next = null;
-          } else {
-            next = next.lastChild();
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation LEFTMOST_DESCENDENT_OF = new Relation(">>,") {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = 3103412865783190437L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return HAS_LEFTMOST_DESCENDENT.satisfies(t2, t1, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          next = t;
-          advance();
-        }
-
-        @Override
-        public void advance() {
-          Tree last = next;
-          next = next.parent(root);
-          if (next != null && next.firstChild() != last) {
-            next = null;
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation RIGHTMOST_DESCENDENT_OF = new Relation(">>-") {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = -2000255467314675477L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return HAS_RIGHTMOST_DESCENDENT.satisfies(t2, t1, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          next = t;
-          advance();
-        }
-
-        @Override
-        public void advance() {
-          Tree last = next;
-          next = next.parent(root);
-          if (next != null && next.lastChild() != last) {
-            next = null;
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation SISTER_OF = new Relation("$") {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = -3776688096782419004L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      if (t1 == t2 || t1 == root) {
-        return false;
-      }
-      Tree parent = t1.parent(root);
-      return PARENT_OF.satisfies(parent, t2, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        Tree parent;
-
-        int nextNum;
-
-        @Override
-        void initialize() {
-          parent = t.parent(root);
-          if (parent != null) {
-            nextNum = 0;
-            advance();
-          }
-        }
-
-        @Override
-        public void advance() {
-          if (nextNum < parent.numChildren()) {
-            next = parent.getChild(nextNum++);
-            if (next == t) {
-              advance();
-            }
-          } else {
-            next = null;
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation LEFT_SISTER_OF = new Relation("$++") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = -4516161080140406862L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      if (t1 == t2 || t1 == root) {
-        return false;
-      }
-      Tree parent = t1.parent(root);
-      Tree[] kids = parent.children();
-      for (int i = kids.length - 1; i > 0; i--) {
-        if (kids[i] == t1) {
-          return false;
-        }
-        if (kids[i] == t2) {
-          return true;
-        }
-      }
-      return false;
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        Tree parent;
-
-        int nextNum;
-
-        @Override
-        void initialize() {
-          parent = t.parent(root);
-          if (parent != null) {
-            nextNum = parent.numChildren() - 1;
-            advance();
-          }
-        }
-
-        @Override
-        public void advance() {
-          next = parent.getChild(nextNum--);
-          if (next == t) {
-            next = null;
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation RIGHT_SISTER_OF = new Relation("$--") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = -5880626025192328694L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return LEFT_SISTER_OF.satisfies(t2, t1, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        Tree parent;
-
-        int nextNum;
-
-        @Override
-        void initialize() {
-          parent = t.parent(root);
-          if (parent != null) {
-            nextNum = 0;
-            advance();
-          }
-        }
-
-        @Override
-        public void advance() {
-          next = parent.getChild(nextNum++);
-          if (next == t) {
-            next = null;
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation IMMEDIATE_LEFT_SISTER_OF = new Relation("$+") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 7745237994722126917L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      if (t1 == t2 || t1 == root) {
-        return false;
-      }
-      Tree[] sisters = t1.parent(root).children();
-      for (int i = sisters.length - 1; i > 0; i--) {
-        if (sisters[i] == t1) {
-          return false;
-        }
-        if (sisters[i] == t2) {
-          return sisters[i - 1] == t1;
-        }
-      }
-      return false;
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          if (t != root) {
-            Tree parent = t.parent(root);
-            int i = 0;
-            while (parent.getChild(i) != t) {
-              i++;
-            }
-            if (i + 1 < parent.numChildren()) {
-              next = parent.getChild(i + 1);
-            }
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation IMMEDIATE_RIGHT_SISTER_OF = new Relation("$-") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = -6555264189937531019L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return IMMEDIATE_LEFT_SISTER_OF.satisfies(t2, t1, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          if (t != root) {
-            Tree parent = t.parent(root);
-            int i = 0;
-            while (parent.getChild(i) != t) {
-              i++;
-            }
-            if (i > 0) {
-              next = parent.getChild(i - 1);
-            }
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation ONLY_CHILD_OF = new Relation(">:") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 1719812660770087879L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return t2.children().length == 1 && t2.firstChild() == t1;
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          if (t != root) {
-            next = t.parent(root);
-            if (next.numChildren() != 1) {
-              next = null;
-            }
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation HAS_ONLY_CHILD = new Relation("<:") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = -8776487500849294279L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return t1.children().length == 1 && t1.firstChild() == t2;
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          if (!t.isLeaf() && t.numChildren() == 1) {
-            next = t.firstChild();
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation UNARY_PATH_ANCESTOR_OF = new Relation("<<:") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = -742912038636163403L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      if (t1.isLeaf() || t1.children().length > 1)
-        return false;
-      Tree onlyDtr = t1.children()[0];
-      if (onlyDtr == t2)
-        return true;
-      else
-        return satisfies(onlyDtr, t2, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        Stack<Tree> searchStack;
-
-        @Override
-        public void initialize() {
-          searchStack = new Stack<Tree>();
-          if (!t.isLeaf() && t.children().length == 1)
-            searchStack.push(t.getChild(0));
-          if (!searchStack.isEmpty()) {
-            advance();
-          }
-        }
-
-        @Override
-        void advance() {
-          if (searchStack.isEmpty()) {
-            next = null;
-          } else {
-            next = searchStack.pop();
-            if (!next.isLeaf() && next.children().length == 1)
-              searchStack.push(next.getChild(0));
-          }
-        }
-      };
-    }
-  };
-
-  static final Relation UNARY_PATH_DESCENDENT_OF = new Relation(">>:") {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 4364021807752979404L;
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      if (t2.isLeaf() || t2.children().length > 1)
-        return false;
-      Tree onlyDtr = t2.children()[0];
-      if (onlyDtr == t1)
-        return true;
-      else
-        return satisfies(t1, onlyDtr, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        Stack<Tree> searchStack;
-
-        @Override
-        public void initialize() {
-          searchStack = new Stack<Tree>();
-          Tree parent = t.parent(root);
-          if (parent != null && !parent.isLeaf() && parent.children().length == 1)
-            searchStack.push(parent);
-          if (!searchStack.isEmpty()) {
-            advance();
-          }
-        }
-
-        @Override
-        void advance() {
-          if (searchStack.isEmpty()) {
-            next = null;
-          } else {
-            next = searchStack.pop();
-            Tree parent = next.parent(root);
-            if (parent != null && !parent.isLeaf() && parent.children().length == 1)
-              searchStack.push(parent);
-          }
-        }
-      };
-    }
-  };
-
-  private static final Relation[] SIMPLE_RELATIONS = new Relation[] {
-      DOMINATES, DOMINATED_BY, PARENT_OF, CHILD_OF, PRECEDES,
-      IMMEDIATELY_PRECEDES, FOLLOWS, IMMEDIATELY_FOLLOWS,
-      HAS_LEFTMOST_DESCENDENT, HAS_RIGHTMOST_DESCENDENT,
-      LEFTMOST_DESCENDENT_OF, RIGHTMOST_DESCENDENT_OF, SISTER_OF,
-      LEFT_SISTER_OF, RIGHT_SISTER_OF, IMMEDIATE_LEFT_SISTER_OF,
-      IMMEDIATE_RIGHT_SISTER_OF, ONLY_CHILD_OF, HAS_ONLY_CHILD, EQUALS,
-      PATTERN_SPLITTER,UNARY_PATH_ANCESTOR_OF,UNARY_PATH_DESCENDENT_OF  };
-
-  private static final Map<String, Relation> SIMPLE_RELATIONS_MAP = new HashMap<String, Relation>();
-
-  static {
-    for (Relation r : SIMPLE_RELATIONS) {
-      SIMPLE_RELATIONS_MAP.put(r.symbol, r);
-    }
-    SIMPLE_RELATIONS_MAP.put("<<`", HAS_RIGHTMOST_DESCENDENT);
-    SIMPLE_RELATIONS_MAP.put("<<,", HAS_LEFTMOST_DESCENDENT);
-    SIMPLE_RELATIONS_MAP.put(">>`", RIGHTMOST_DESCENDENT_OF);
-    SIMPLE_RELATIONS_MAP.put(">>,", LEFTMOST_DESCENDENT_OF);
-    SIMPLE_RELATIONS_MAP.put("$..", LEFT_SISTER_OF);
-    SIMPLE_RELATIONS_MAP.put("$,,", RIGHT_SISTER_OF);
-    SIMPLE_RELATIONS_MAP.put("$.", IMMEDIATE_LEFT_SISTER_OF);
-    SIMPLE_RELATIONS_MAP.put("$,", IMMEDIATE_RIGHT_SISTER_OF);
-  }
-
-  @Override
-  public boolean equals(Object o) {
-    if (this == o) {
-      return true;
-    }
-    if (!(o instanceof Relation)) {
-      return false;
-    }
-
-    final Relation relation = (Relation) o;
-
-    if (!symbol.equals(relation.symbol)) {
-      return false;
-    }
-
-    return true;
-  }
-
-  @Override
-  public int hashCode() {
-    return symbol.hashCode();
-  }
-
-
-  private static class Heads extends Relation {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = 4681433462932265831L;
-    HeadFinder hf;
-
-    Heads(HeadFinder hf) {
-      super(">>#");
-      this.hf = hf;
-    }
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      if (t2.isLeaf()) {
-        return false;
-      } else if (t2.isPreTerminal()) {
-        return (t2.firstChild() == t1);
-      } else {
-        Tree head = hf.determineHead(t2);
-        if (head == t1) {
-          return true;
-        } else {
-          return satisfies(t1, head, root);
-        }
-      }
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          next = t;
-          advance();
-        }
-
-        @Override
-        public void advance() {
-          Tree last = next;
-          next = next.parent(root);
-          if (next != null && hf.determineHead(next) != last) {
-            next = null;
-          }
-        }
-      };
-    }
-
-    @Override
-    public boolean equals(Object o) {
-      if (this == o) {
-        return true;
-      }
-      if (!(o instanceof Heads)) {
-        return false;
-      }
-      if (!super.equals(o)) {
-        return false;
-      }
-
-      final Heads heads = (Heads) o;
-
-      if (hf != null ? !hf.equals(heads.hf) : heads.hf != null) {
-        return false;
-      }
-
-      return true;
-    }
-
-    @Override
-    public int hashCode() {
-      int result = super.hashCode();
-      result = 29 * result + (hf != null ? hf.hashCode() : 0);
-      return result;
-    }
-  }
-
-
-  private static class HeadedBy extends Relation {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 2825997185749055693L;
-    private Heads heads;
-
-    HeadedBy(HeadFinder hf) {
-      super("<<#");
-      this.heads = Interner.globalIntern(new Heads(hf));
-    }
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return heads.satisfies(t2, t1, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          next = t;
-          advance();
-        }
-
-        @Override
-        public void advance() {
-          if (next.isLeaf()) {
-            next = null;
-          } else {
-            next = heads.hf.determineHead(next);
-          }
-        }
-      };
-    }
-
-    @Override
-    public boolean equals(Object o) {
-      if (this == o) {
-        return true;
-      }
-      if (!(o instanceof HeadedBy)) {
-        return false;
-      }
-      if (!super.equals(o)) {
-        return false;
-      }
-
-      final HeadedBy headedBy = (HeadedBy) o;
-
-      if (heads != null ? !heads.equals(headedBy.heads)
-          : headedBy.heads != null) {
-        return false;
-      }
-
-      return true;
-    }
-
-    @Override
-    public int hashCode() {
-      int result = super.hashCode();
-      result = 29 * result + (heads != null ? heads.hashCode() : 0);
-      return result;
-    }
-  }
-
-
-  private static class ImmediatelyHeads extends Relation {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 2085410152913894987L;
-    private HeadFinder hf;
-
-    ImmediatelyHeads(HeadFinder hf) {
-      super(">#");
-      this.hf = hf;
-    }
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return hf.determineHead(t2) == t1;
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          if (t != root) {
-            next = t.parent(root);
-            if (hf.determineHead(next) != t) {
-              next = null;
-            }
-          }
-        }
-      };
-    }
-
-    @Override
-    public boolean equals(Object o) {
-      if (this == o) {
-        return true;
-      }
-      if (!(o instanceof ImmediatelyHeads)) {
-        return false;
-      }
-      if (!super.equals(o)) {
-        return false;
-      }
-
-      final ImmediatelyHeads immediatelyHeads = (ImmediatelyHeads) o;
-
-      if (!hf.equals(immediatelyHeads.hf)) {
-        return false;
-      }
-
-      return true;
-    }
-
-    @Override
-    public int hashCode() {
-      int result = super.hashCode();
-      result = 29 * result + hf.hashCode();
-      return result;
-    }
-  }
-
-
-  private static class ImmediatelyHeadedBy extends Relation {
-    /**
-     *
-     */
-    private static final long serialVersionUID = 5910075663419780905L;
-    private ImmediatelyHeads immediatelyHeads;
-
-    ImmediatelyHeadedBy(HeadFinder hf) {
-      super("<#");
-      this.immediatelyHeads = Interner
-          .globalIntern(new ImmediatelyHeads(hf));
-    }
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return immediatelyHeads.satisfies(t2, t1, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          if (!t.isLeaf()) {
-            next = immediatelyHeads.hf.determineHead(t);
-          }
-        }
-      };
-    }
-
-    @Override
-    public boolean equals(Object o) {
-      if (this == o) {
-        return true;
-      }
-      if (!(o instanceof ImmediatelyHeadedBy)) {
-        return false;
-      }
-      if (!super.equals(o)) {
-        return false;
-      }
-
-      final ImmediatelyHeadedBy immediatelyHeadedBy = (ImmediatelyHeadedBy) o;
-
-      if (immediatelyHeads != null ? !immediatelyHeads
-          .equals(immediatelyHeadedBy.immediatelyHeads)
-          : immediatelyHeadedBy.immediatelyHeads != null) {
-        return false;
-      }
-
-      return true;
-    }
-
-    @Override
-    public int hashCode() {
-      int result = super.hashCode();
-      result = 29 * result
-          + (immediatelyHeads != null ? immediatelyHeads.hashCode() : 0);
-      return result;
-    }
-  }
-
-
-  private static class IthChildOf extends Relation {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = -1463126827537879633L;
-    private int childNum;
-
-    IthChildOf(int i) {
-      super('>' + String.valueOf(i));
-      if (i == 0) {
-        throw new IllegalArgumentException(
-            "Error -- no such thing as zeroth child!");
-      } else {
-        childNum = i;
-      }
-    }
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      Tree[] kids = t2.children();
-      if (kids.length < Math.abs(childNum)) {
-        return false;
-      }
-      if (childNum > 0 && kids[childNum - 1] == t1) {
-        return true;
-      }
-      if (childNum < 0 && kids[kids.length + childNum] == t1) {
-        return true;
-      }
-      return false;
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          if (t != root) {
-            next = t.parent(root);
-            if (childNum > 0
-                && (next.numChildren() < childNum || next
-                    .getChild(childNum - 1) != t)
-                || childNum < 0
-                && (next.numChildren() < -childNum || next.getChild(next
-                    .numChildren()
-                    + childNum) != t)) {
-              next = null;
-            }
-          }
-        }
-      };
-    }
-
-    @Override
-    public boolean equals(Object o) {
-      if (this == o) {
-        return true;
-      }
-      if (!(o instanceof IthChildOf)) {
-        return false;
-      }
-
-      final IthChildOf ithChildOf = (IthChildOf) o;
-
-      if (childNum != ithChildOf.childNum) {
-        return false;
-      }
-
-      return true;
-    }
-
-    @Override
-    public int hashCode() {
-      return childNum;
-    }
-
-  }
-
-
-  private static class HasIthChild extends Relation {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = 3546853729291582806L;
-    /**
-     *
-     */
-    private final IthChildOf ithChildOf;
-
-    HasIthChild(int i) {
-      super('<' + String.valueOf(i));
-      ithChildOf = Interner.globalIntern(new IthChildOf(i));
-    }
-
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return ithChildOf.satisfies(t2, t1, root);
-    }
-
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          int childNum = ithChildOf.childNum;
-          if (t.numChildren() >= Math.abs(childNum)) {
-            if (childNum > 0) {
-              next = t.getChild(childNum - 1);
-            } else {
-              next = t.getChild(t.numChildren() + childNum);
-            }
-          }
-        }
-      };
-    }
-
-    @Override
-    public boolean equals(Object o) {
-      if (this == o) {
-        return true;
-      }
-      if (!(o instanceof HasIthChild)) {
-        return false;
-      }
-      if (!super.equals(o)) {
-        return false;
-      }
-
-      final HasIthChild hasIthChild = (HasIthChild) o;
-
-      if (ithChildOf != null ? !ithChildOf.equals(hasIthChild.ithChildOf)
-          : hasIthChild.ithChildOf != null) {
-        return false;
-      }
-
-      return true;
-    }
-
-    @Override
-    public int hashCode() {
-      int result = super.hashCode();
-      result = 29 * result + (ithChildOf != null ? ithChildOf.hashCode() : 0);
-      return result;
-    }
-  }
-
-
-
-
-  private static class UnbrokenCategoryDominates extends Relation {
-
-    private static final long serialVersionUID = -4174923168221859262L;
-
-    private final Pattern pattern;
-    private final boolean negatedPattern;
-    private final boolean basicCat;
-    private Function<String, String> basicCatFunction;
-
-
-    /**
-     *
-     * @param arg This may have a ! and then maybe a @ and then either an
-     *            identifier or regex
-     */
-    UnbrokenCategoryDominates(String arg, 
-                              Function<String, String> basicCatFunction) {
-      super("<+(" + arg + ')');
-      if (arg.startsWith("!")) {
-        negatedPattern = true;
-        arg = arg.substring(1);
-      } else {
-        negatedPattern = false;
-      }
-      if (arg.startsWith("@")) {
-        basicCat = true;
-        this.basicCatFunction = basicCatFunction;
-        arg = arg.substring(1);
-      } else {
-        basicCat = false;
-      }
-      if (arg.matches("/.*/")) {
-        pattern = Pattern.compile(arg.substring(1, arg.length() - 1));
-      } else if (arg.matches("__")) {
-        pattern = Pattern.compile("^.*$");
-      } else {
-        pattern = Pattern.compile("^(?:" + arg + ")$");
-      }
-    }
-
-    /** {@inheritDoc} */
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      for (Tree kid : t1.children()) {
-        if (kid == t2) {
-          return true;
-        } else {
-          if (pathMatchesNode(kid) && satisfies(kid, t2, root)) {
-            return true;
-          }
-        }
-      }
-      return false;
-    }
-
-    private boolean pathMatchesNode(Tree node) {
-      String lab = node.value();
-      // added this code to not crash if null node, even though there probably should be null nodes in the tree
-      if (lab == null) {
-        // Say that a null label matches no positive pattern, but any negated patern
-        return negatedPattern;
-      } else {
-        if (basicCat) {
-          lab = basicCatFunction.apply(lab);
-        }
-        Matcher m = pattern.matcher(lab);
-        return m.find() != negatedPattern;
-      }
-    }
-
-    /** {@inheritDoc} */
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        Stack<Tree> searchStack;
-
-        @Override
-        public void initialize() {
-          searchStack = new Stack<Tree>();
-          for (int i = t.numChildren() - 1; i >= 0; i--) {
-            searchStack.push(t.getChild(i));
-          }
-          if (!searchStack.isEmpty()) {
-            advance();
-          }
-        }
-
-        @Override
-        void advance() {
-          if (searchStack.isEmpty()) {
-            next = null;
-          } else {
-            next = searchStack.pop();
-            if (pathMatchesNode(next)) {
-              for (int i = next.numChildren() - 1; i >= 0; i--) {
-                searchStack.push(next.getChild(i));
-              }
-            }
-          }
-        }
-      };
-    }
-
-    @Override
-    public boolean equals(Object o) {
-      if (this == o) {
-        return true;
-      }
-      if (!(o instanceof UnbrokenCategoryDominates)) {
-        return false;
-      }
-
-      final UnbrokenCategoryDominates unbrokenCategoryDominates = (UnbrokenCategoryDominates) o;
-
-      if (negatedPattern != unbrokenCategoryDominates.negatedPattern) {
-        return false;
-      }
-      if (!pattern.equals(unbrokenCategoryDominates.pattern)) {
-        return false;
-      }
-
-      return true;
-    }
-
-    @Override
-    public int hashCode() {
-      int result;
-      result = pattern.hashCode();
-      result = 29 * result + (negatedPattern ? 1 : 0);
-      return result;
-    }
-
-  } // end class UnbrokenCategoryDominates
-
-
-  private static class UnbrokenCategoryIsDominatedBy extends Relation {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = 2867922828235355129L;
-    private UnbrokenCategoryDominates unbrokenCategoryDominates;
-
-    UnbrokenCategoryIsDominatedBy(String arg, 
-                                  Function<String, String> basicCatFunction) {
-      super(">+(" + arg + ')');
-      unbrokenCategoryDominates = Interner
-        .globalIntern((new UnbrokenCategoryDominates(arg, basicCatFunction)));
-    }
-
-    /** {@inheritDoc} */
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return unbrokenCategoryDominates.satisfies(t2, t1, root);
-    }
-
-    /** {@inheritDoc} */
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        @Override
-        void initialize() {
-          next = t.parent(root);
-        }
-
-        @Override
-        public void advance() {
-          if (unbrokenCategoryDominates.pathMatchesNode(next)) {
-            next = next.parent(root);
-          } else {
-            next = null;
-          }
-        }
-      };
-    }
-
-    @Override
-    public boolean equals(Object o) {
-      if (this == o) {
-        return true;
-      }
-      if (!(o instanceof UnbrokenCategoryIsDominatedBy)) {
-        return false;
-      }
-      if (!super.equals(o)) {
-        return false;
-      }
-
-      final UnbrokenCategoryIsDominatedBy unbrokenCategoryIsDominatedBy = (UnbrokenCategoryIsDominatedBy) o;
-
-      return unbrokenCategoryDominates.equals(unbrokenCategoryIsDominatedBy.unbrokenCategoryDominates);
-    }
-
-    @Override
-    public int hashCode() {
-      int result = super.hashCode();
-      result = 29 * result + unbrokenCategoryDominates.hashCode();
-      return result;
-    }
-  }
-
-
-  /**
-   * Note that this only works properly for context-free trees.
-   * Also, the use of initialize and advance is not very efficient just yet.  Finally, each node in the tree
-   * is added only once, even if there is more than one unbroken-category precedence path to it.
-   *
-   */
-  private static class UnbrokenCategoryPrecedes extends Relation {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = 6866888667804306111L;
-
-    private final Pattern pattern;
-    private final boolean negatedPattern;
-    private final boolean basicCat;
-    private Function<String, String> basicCatFunction;
-
-    /**
-     * @param arg The pattern to match, perhaps preceded by ! and/or @
-     */
-    UnbrokenCategoryPrecedes(String arg,
-                             Function<String, String> basicCatFunction) {
-      super(".+(" + arg + ')');
-      if (arg.startsWith("!")) {
-        negatedPattern = true;
-        arg = arg.substring(1);
-      } else {
-        negatedPattern = false;
-      }
-      if (arg.startsWith("@")) {
-        basicCat = true;
-        basicCatFunction = basicCatFunction;
-        arg = arg.substring(1);
-      } else {
-        basicCat = false;
-      }
-      if (arg.matches("/.*/")) {
-        pattern = Pattern.compile(arg.substring(1, arg.length() - 1));
-      } else if (arg.matches("__")) {
-        pattern = Pattern.compile("^.*$");
-      } else {
-        pattern = Pattern.compile("^(?:" + arg + ")$");
-      }
-    }
-
-    /** {@inheritDoc} */
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return true; // shouldn't have to do anything here.
-    }
-
-    private boolean pathMatchesNode(Tree node) {
-      String lab = node.value();
-      // added this code to not crash if null node, even though there probably should be null nodes in the tree
-      if (lab == null) {
-        // Say that a null label matches no positive pattern, but any negated pattern
-        return negatedPattern;
-      } else {
-        if (basicCat) {
-          lab = basicCatFunction.apply(lab);
-        }
-        Matcher m = pattern.matcher(lab);
-        return m.find() != negatedPattern;
-      }
-    }
-
-    /** {@inheritDoc} */
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        private IdentityHashSet<Tree> nodesToSearch;
-        private Stack<Tree> searchStack;
-
-        @Override
-        public void initialize() {
-          nodesToSearch = new IdentityHashSet<Tree>();
-          searchStack = new Stack<Tree>();
-          initializeHelper(searchStack,t,root);
-          advance();
-        }
-
-        private void initializeHelper(Stack<Tree> stack, Tree node, Tree root) {
-          if (node==root) {
-            return;
-          }
-          Tree parent = node.parent(root);
-          int i = parent.indexOf(node);
-          while (i == parent.children().length-1 && parent != root) {
-            node = parent;
-            parent = parent.parent(root);
-            i = parent.indexOf(node);
-          }
-          Tree followingNode;
-          if (i+1 < parent.children().length) {
-            followingNode = parent.children()[i+1];
-          } else {
-            followingNode = null;
-          }
-          while (followingNode != null) {
-            //System.err.println("adding to stack node " + followingNode.toString());
-            if (! nodesToSearch.contains(followingNode)) {
-              stack.add(followingNode);
-              nodesToSearch.add(followingNode);
-            }
-            if (pathMatchesNode(followingNode)) {
-              initializeHelper(stack, followingNode, root);
-            }
-            if (! followingNode.isLeaf()) {
-              followingNode = followingNode.children()[0];
-            } else {
-              followingNode = null;
-            }
-          }
-        }
-
-        @Override
-        void advance() {
-          if (searchStack.isEmpty()) {
-            next = null;
-          } else {
-            next = searchStack.pop();
-          }
-        }
-      };
-    }
-  }
-
-
-  /**
-   * Note that this only works properly for context-free trees.
-   * Also, the use of initialize and advance is not very efficient just yet.  Finally, each node in the tree
-   * is added only once, even if there is more than one unbroken-category precedence path to it.
-   */
-  private static class UnbrokenCategoryFollows extends Relation {
-
-    /**
-     *
-     */
-    private static final long serialVersionUID = -7890430001297866437L;
-
-    private final Pattern pattern;
-    private final boolean negatedPattern;
-    private final boolean basicCat;
-    private Function<String, String> basicCatFunction;
-
-    /**
-     * @param arg The pattern to match, perhaps preceded by ! and/or @
-     */
-    UnbrokenCategoryFollows(String arg,
-                            Function<String, String> basicCatFunction) {
-      super(",+(" + arg + ')');
-      if (arg.startsWith("!")) {
-        negatedPattern = true;
-        arg = arg.substring(1);
-      } else {
-        negatedPattern = false;
-      }
-      if (arg.startsWith("@")) {
-        basicCat = true;
-        basicCatFunction = basicCatFunction;
-        arg = arg.substring(1);
-      } else {
-        basicCat = false;
-      }
-      if (arg.matches("/.*/")) {
-        pattern = Pattern.compile(arg.substring(1, arg.length() - 1));
-      } else if (arg.matches("__")) {
-        pattern = Pattern.compile("^.*$");
-      } else {
-        pattern = Pattern.compile("^(?:" + arg + ")$");
-      }
-    }
-
-    /** {@inheritDoc} */
-    @Override
-    boolean satisfies(Tree t1, Tree t2, Tree root) {
-      return true; // shouldn't have to do anything here.
-    }
-
-    private boolean pathMatchesNode(Tree node) {
-      String lab = node.value();
-      // added this code to not crash if null node, even though there probably should be null nodes in the tree
-      if (lab == null) {
-        // Say that a null label matches no positive pattern, but any negated pattern
-        return negatedPattern;
-      } else {
-        if (basicCat) {
-          lab = basicCatFunction.apply(lab);
-        }
-        Matcher m = pattern.matcher(lab);
-        return m.find() != negatedPattern;
-      }
-    }
-
-    /** {@inheritDoc} */
-    @Override
-    Iterator<Tree> searchNodeIterator(final Tree t, final Tree root) {
-      return new SearchNodeIterator() {
-        IdentityHashSet<Tree> nodesToSearch;
-        Stack<Tree> searchStack;
-
-        @Override
-        public void initialize() {
-          nodesToSearch = new IdentityHashSet<Tree>();
-          searchStack = new Stack<Tree>();
-          initializeHelper(searchStack,t,root);
-          advance();
-        }
-
-        private void initializeHelper(Stack<Tree> stack, Tree node, Tree root) {
-          if (node==root) {
-            return;
-          }
-          Tree parent = node.parent(root);
-          int i = parent.indexOf(node);
-          while (i == 0 && parent != root) {
-            node = parent;
-            parent = parent.parent(root);
-            i = parent.indexOf(node);
-          }
-          Tree precedingNode;
-          if (i > 0) {
-            precedingNode = parent.children()[i-1];
-          } else {
-            precedingNode = null;
-          }
-          while (precedingNode != null) {
-            //System.err.println("adding to stack node " + precedingNode.toString());
-            if ( ! nodesToSearch.contains(precedingNode)) {
-              stack.add(precedingNode);
-              nodesToSearch.add(precedingNode);
-            }
-            if (pathMatchesNode(precedingNode)) {
-              initializeHelper(stack, precedingNode, root);
-            }
-            if (! precedingNode.isLeaf()) {
-              precedingNode = precedingNode.children()[0];
-            } else {
-              precedingNode = null;
-            }
-          }
-        }
-
-        @Override
-        void advance() {
-          if (searchStack.isEmpty()) {
-            next = null;
-          } else {
-            next = searchStack.pop();
-          }
-        }
-      };
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/SimpleCharStream.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/SimpleCharStream.java
deleted file mode 100644
index a48e701..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/SimpleCharStream.java
+++ /dev/null
@@ -1,471 +0,0 @@
-/* Generated By:JavaCC: Do not edit this line. SimpleCharStream.java Version 5.0 */
-/* JavaCCOptions:STATIC=false,SUPPORT_CLASS_VISIBILITY_PUBLIC=true */
-package edu.stanford.nlp.trees.tregex;
-
-/**
- * An implementation of interface CharStream, where the stream is assumed to
- * contain only ASCII characters (without unicode processing).
- */
-
-public class SimpleCharStream
-{
-/** Whether parser is static. */
-  public static final boolean staticFlag = false;
-  int bufsize;
-  int available;
-  int tokenBegin;
-/** Position in buffer. */
-  public int bufpos = -1;
-  protected int bufline[];
-  protected int bufcolumn[];
-
-  protected int column = 0;
-  protected int line = 1;
-
-  protected boolean prevCharIsCR = false;
-  protected boolean prevCharIsLF = false;
-
-  protected java.io.Reader inputStream;
-
-  protected char[] buffer;
-  protected int maxNextCharInd = 0;
-  protected int inBuf = 0;
-  protected int tabSize = 8;
-
-  protected void setTabSize(int i) { tabSize = i; }
-  protected int getTabSize(int i) { return tabSize; }
-
-
-  protected void ExpandBuff(boolean wrapAround)
-  {
-    char[] newbuffer = new char[bufsize + 2048];
-    int newbufline[] = new int[bufsize + 2048];
-    int newbufcolumn[] = new int[bufsize + 2048];
-
-    try
-    {
-      if (wrapAround)
-      {
-        System.arraycopy(buffer, tokenBegin, newbuffer, 0, bufsize - tokenBegin);
-        System.arraycopy(buffer, 0, newbuffer, bufsize - tokenBegin, bufpos);
-        buffer = newbuffer;
-
-        System.arraycopy(bufline, tokenBegin, newbufline, 0, bufsize - tokenBegin);
-        System.arraycopy(bufline, 0, newbufline, bufsize - tokenBegin, bufpos);
-        bufline = newbufline;
-
-        System.arraycopy(bufcolumn, tokenBegin, newbufcolumn, 0, bufsize - tokenBegin);
-        System.arraycopy(bufcolumn, 0, newbufcolumn, bufsize - tokenBegin, bufpos);
-        bufcolumn = newbufcolumn;
-
-        maxNextCharInd = (bufpos += (bufsize - tokenBegin));
-      }
-      else
-      {
-        System.arraycopy(buffer, tokenBegin, newbuffer, 0, bufsize - tokenBegin);
-        buffer = newbuffer;
-
-        System.arraycopy(bufline, tokenBegin, newbufline, 0, bufsize - tokenBegin);
-        bufline = newbufline;
-
-        System.arraycopy(bufcolumn, tokenBegin, newbufcolumn, 0, bufsize - tokenBegin);
-        bufcolumn = newbufcolumn;
-
-        maxNextCharInd = (bufpos -= tokenBegin);
-      }
-    }
-    catch (Throwable t)
-    {
-      throw new Error(t.getMessage());
-    }
-
-
-    bufsize += 2048;
-    available = bufsize;
-    tokenBegin = 0;
-  }
-
-  protected void FillBuff() throws java.io.IOException
-  {
-    if (maxNextCharInd == available)
-    {
-      if (available == bufsize)
-      {
-        if (tokenBegin > 2048)
-        {
-          bufpos = maxNextCharInd = 0;
-          available = tokenBegin;
-        }
-        else if (tokenBegin < 0)
-          bufpos = maxNextCharInd = 0;
-        else
-          ExpandBuff(false);
-      }
-      else if (available > tokenBegin)
-        available = bufsize;
-      else if ((tokenBegin - available) < 2048)
-        ExpandBuff(true);
-      else
-        available = tokenBegin;
-    }
-
-    int i;
-    try {
-      if ((i = inputStream.read(buffer, maxNextCharInd, available - maxNextCharInd)) == -1)
-      {
-        inputStream.close();
-        throw new java.io.IOException();
-      }
-      else
-        maxNextCharInd += i;
-      return;
-    }
-    catch(java.io.IOException e) {
-      --bufpos;
-      backup(0);
-      if (tokenBegin == -1)
-        tokenBegin = bufpos;
-      throw e;
-    }
-  }
-
-/** Start. */
-  public char BeginToken() throws java.io.IOException
-  {
-    tokenBegin = -1;
-    char c = readChar();
-    tokenBegin = bufpos;
-
-    return c;
-  }
-
-  protected void UpdateLineColumn(char c)
-  {
-    column++;
-
-    if (prevCharIsLF)
-    {
-      prevCharIsLF = false;
-      line += (column = 1);
-    }
-    else if (prevCharIsCR)
-    {
-      prevCharIsCR = false;
-      if (c == '\n')
-      {
-        prevCharIsLF = true;
-      }
-      else
-        line += (column = 1);
-    }
-
-    switch (c)
-    {
-      case '\r' :
-        prevCharIsCR = true;
-        break;
-      case '\n' :
-        prevCharIsLF = true;
-        break;
-      case '\t' :
-        column--;
-        column += (tabSize - (column % tabSize));
-        break;
-      default :
-        break;
-    }
-
-    bufline[bufpos] = line;
-    bufcolumn[bufpos] = column;
-  }
-
-/** Read a character. */
-  public char readChar() throws java.io.IOException
-  {
-    if (inBuf > 0)
-    {
-      --inBuf;
-
-      if (++bufpos == bufsize)
-        bufpos = 0;
-
-      return buffer[bufpos];
-    }
-
-    if (++bufpos >= maxNextCharInd)
-      FillBuff();
-
-    char c = buffer[bufpos];
-
-    UpdateLineColumn(c);
-    return c;
-  }
-
-  @Deprecated
-  /**
-   * @deprecated
-   * @see #getEndColumn
-   */
-
-  public int getColumn() {
-    return bufcolumn[bufpos];
-  }
-
-  @Deprecated
-  /**
-   * @deprecated
-   * @see #getEndLine
-   */
-
-  public int getLine() {
-    return bufline[bufpos];
-  }
-
-  /** Get token end column number. */
-  public int getEndColumn() {
-    return bufcolumn[bufpos];
-  }
-
-  /** Get token end line number. */
-  public int getEndLine() {
-     return bufline[bufpos];
-  }
-
-  /** Get token beginning column number. */
-  public int getBeginColumn() {
-    return bufcolumn[tokenBegin];
-  }
-
-  /** Get token beginning line number. */
-  public int getBeginLine() {
-    return bufline[tokenBegin];
-  }
-
-/** Backup a number of characters. */
-  public void backup(int amount) {
-
-    inBuf += amount;
-    if ((bufpos -= amount) < 0)
-      bufpos += bufsize;
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.Reader dstream, int startline,
-  int startcolumn, int buffersize)
-  {
-    inputStream = dstream;
-    line = startline;
-    column = startcolumn - 1;
-
-    available = bufsize = buffersize;
-    buffer = new char[buffersize];
-    bufline = new int[buffersize];
-    bufcolumn = new int[buffersize];
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.Reader dstream, int startline,
-                          int startcolumn)
-  {
-    this(dstream, startline, startcolumn, 4096);
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.Reader dstream)
-  {
-    this(dstream, 1, 1, 4096);
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.Reader dstream, int startline,
-  int startcolumn, int buffersize)
-  {
-    inputStream = dstream;
-    line = startline;
-    column = startcolumn - 1;
-
-    if (buffer == null || buffersize != buffer.length)
-    {
-      available = bufsize = buffersize;
-      buffer = new char[buffersize];
-      bufline = new int[buffersize];
-      bufcolumn = new int[buffersize];
-    }
-    prevCharIsLF = prevCharIsCR = false;
-    tokenBegin = inBuf = maxNextCharInd = 0;
-    bufpos = -1;
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.Reader dstream, int startline,
-                     int startcolumn)
-  {
-    ReInit(dstream, startline, startcolumn, 4096);
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.Reader dstream)
-  {
-    ReInit(dstream, 1, 1, 4096);
-  }
-  /** Constructor. */
-  public SimpleCharStream(java.io.InputStream dstream, String encoding, int startline,
-  int startcolumn, int buffersize) throws java.io.UnsupportedEncodingException
-  {
-    this(encoding == null ? new java.io.InputStreamReader(dstream) : new java.io.InputStreamReader(dstream, encoding), startline, startcolumn, buffersize);
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.InputStream dstream, int startline,
-  int startcolumn, int buffersize)
-  {
-    this(new java.io.InputStreamReader(dstream), startline, startcolumn, buffersize);
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.InputStream dstream, String encoding, int startline,
-                          int startcolumn) throws java.io.UnsupportedEncodingException
-  {
-    this(dstream, encoding, startline, startcolumn, 4096);
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.InputStream dstream, int startline,
-                          int startcolumn)
-  {
-    this(dstream, startline, startcolumn, 4096);
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.InputStream dstream, String encoding) throws java.io.UnsupportedEncodingException
-  {
-    this(dstream, encoding, 1, 1, 4096);
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.InputStream dstream)
-  {
-    this(dstream, 1, 1, 4096);
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream dstream, String encoding, int startline,
-                          int startcolumn, int buffersize) throws java.io.UnsupportedEncodingException
-  {
-    ReInit(encoding == null ? new java.io.InputStreamReader(dstream) : new java.io.InputStreamReader(dstream, encoding), startline, startcolumn, buffersize);
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream dstream, int startline,
-                          int startcolumn, int buffersize)
-  {
-    ReInit(new java.io.InputStreamReader(dstream), startline, startcolumn, buffersize);
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream dstream, String encoding) throws java.io.UnsupportedEncodingException
-  {
-    ReInit(dstream, encoding, 1, 1, 4096);
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream dstream)
-  {
-    ReInit(dstream, 1, 1, 4096);
-  }
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream dstream, String encoding, int startline,
-                     int startcolumn) throws java.io.UnsupportedEncodingException
-  {
-    ReInit(dstream, encoding, startline, startcolumn, 4096);
-  }
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream dstream, int startline,
-                     int startcolumn)
-  {
-    ReInit(dstream, startline, startcolumn, 4096);
-  }
-  /** Get token literal value. */
-  public String GetImage()
-  {
-    if (bufpos >= tokenBegin)
-      return new String(buffer, tokenBegin, bufpos - tokenBegin + 1);
-    else
-      return new String(buffer, tokenBegin, bufsize - tokenBegin) +
-                            new String(buffer, 0, bufpos + 1);
-  }
-
-  /** Get the suffix. */
-  public char[] GetSuffix(int len)
-  {
-    char[] ret = new char[len];
-
-    if ((bufpos + 1) >= len)
-      System.arraycopy(buffer, bufpos - len + 1, ret, 0, len);
-    else
-    {
-      System.arraycopy(buffer, bufsize - (len - bufpos - 1), ret, 0,
-                                                        len - bufpos - 1);
-      System.arraycopy(buffer, 0, ret, len - bufpos - 1, bufpos + 1);
-    }
-
-    return ret;
-  }
-
-  /** Reset buffer when finished. */
-  public void Done()
-  {
-    buffer = null;
-    bufline = null;
-    bufcolumn = null;
-  }
-
-  /**
-   * Method to adjust line and column numbers for the start of a token.
-   */
-  public void adjustBeginLineColumn(int newLine, int newCol)
-  {
-    int start = tokenBegin;
-    int len;
-
-    if (bufpos >= tokenBegin)
-    {
-      len = bufpos - tokenBegin + inBuf + 1;
-    }
-    else
-    {
-      len = bufsize - tokenBegin + bufpos + 1 + inBuf;
-    }
-
-    int i = 0, j = 0, k = 0;
-    int nextColDiff = 0, columnDiff = 0;
-
-    while (i < len && bufline[j = start % bufsize] == bufline[k = ++start % bufsize])
-    {
-      bufline[j] = newLine;
-      nextColDiff = columnDiff + bufcolumn[k] - bufcolumn[j];
-      bufcolumn[j] = newCol + columnDiff;
-      columnDiff = nextColDiff;
-      i++;
-    }
-
-    if (i < len)
-    {
-      bufline[j] = newLine++;
-      bufcolumn[j] = newCol + columnDiff;
-
-      while (i++ < len)
-      {
-        if (bufline[j = start % bufsize] != bufline[++start % bufsize])
-          bufline[j] = newLine++;
-        else
-          bufline[j] = newLine;
-      }
-    }
-
-    line = bufline[j];
-    column = bufcolumn[j];
-  }
-
-}
-/* JavaCC - OriginalChecksum=101b329f32d136d3c10989c072451318 (do not edit this line) */
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/Token.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/Token.java
deleted file mode 100644
index 4776567..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/Token.java
+++ /dev/null
@@ -1,131 +0,0 @@
-/* Generated By:JavaCC: Do not edit this line. Token.java Version 5.0 */
-/* JavaCCOptions:TOKEN_EXTENDS=,KEEP_LINE_COL=null,SUPPORT_CLASS_VISIBILITY_PUBLIC=true */
-package edu.stanford.nlp.trees.tregex;
-
-/**
- * Describes the input token stream.
- */
-
-public class Token implements java.io.Serializable {
-
-  /**
-   * The version identifier for this Serializable class.
-   * Increment only if the <i>serialized</i> form of the
-   * class changes.
-   */
-  private static final long serialVersionUID = 1L;
-
-  /**
-   * An integer that describes the kind of this token.  This numbering
-   * system is determined by JavaCCParser, and a table of these numbers is
-   * stored in the file ...Constants.java.
-   */
-  public int kind;
-
-  /** The line number of the first character of this Token. */
-  public int beginLine;
-  /** The column number of the first character of this Token. */
-  public int beginColumn;
-  /** The line number of the last character of this Token. */
-  public int endLine;
-  /** The column number of the last character of this Token. */
-  public int endColumn;
-
-  /**
-   * The string image of the token.
-   */
-  public String image;
-
-  /**
-   * A reference to the next regular (non-special) token from the input
-   * stream.  If this is the last token from the input stream, or if the
-   * token manager has not read tokens beyond this one, this field is
-   * set to null.  This is true only if this token is also a regular
-   * token.  Otherwise, see below for a description of the contents of
-   * this field.
-   */
-  public Token next;
-
-  /**
-   * This field is used to access special tokens that occur prior to this
-   * token, but after the immediately preceding regular (non-special) token.
-   * If there are no such special tokens, this field is set to null.
-   * When there are more than one such special token, this field refers
-   * to the last of these special tokens, which in turn refers to the next
-   * previous special token through its specialToken field, and so on
-   * until the first special token (whose specialToken field is null).
-   * The next fields of special tokens refer to other special tokens that
-   * immediately follow it (without an intervening regular token).  If there
-   * is no such token, this field is null.
-   */
-  public Token specialToken;
-
-  /**
-   * An optional attribute value of the Token.
-   * Tokens which are not used as syntactic sugar will often contain
-   * meaningful values that will be used later on by the compiler or
-   * interpreter. This attribute value is often different from the image.
-   * Any subclass of Token that actually wants to return a non-null value can
-   * override this method as appropriate.
-   */
-  public Object getValue() {
-    return null;
-  }
-
-  /**
-   * No-argument constructor
-   */
-  public Token() {}
-
-  /**
-   * Constructs a new token for the specified Image.
-   */
-  public Token(int kind)
-  {
-    this(kind, null);
-  }
-
-  /**
-   * Constructs a new token for the specified Image and Kind.
-   */
-  public Token(int kind, String image)
-  {
-    this.kind = kind;
-    this.image = image;
-  }
-
-  /**
-   * Returns the image.
-   */
-  public String toString()
-  {
-    return image;
-  }
-
-  /**
-   * Returns a new Token object, by default. However, if you want, you
-   * can create and return subclass objects based on the value of ofKind.
-   * Simply add the cases to the switch for all those special cases.
-   * For example, if you have a subclass of Token called IDToken that
-   * you want to create if ofKind is ID, simply add something like :
-   *
-   *    case MyParserConstants.ID : return new IDToken(ofKind, image);
-   *
-   * to the following switch statement. Then you can cast matchedToken
-   * variable to the appropriate type and use sit in your lexical actions.
-   */
-  public static Token newToken(int ofKind, String image)
-  {
-    switch(ofKind)
-    {
-      default : return new Token(ofKind, image);
-    }
-  }
-
-  public static Token newToken(int ofKind)
-  {
-    return newToken(ofKind, null);
-  }
-
-}
-/* JavaCC - OriginalChecksum=871fd02820e6ec05ea511208081f7943 (do not edit this line) */
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TokenMgrError.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TokenMgrError.java
deleted file mode 100644
index a7156dd..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TokenMgrError.java
+++ /dev/null
@@ -1,147 +0,0 @@
-/* Generated By:JavaCC: Do not edit this line. TokenMgrError.java Version 5.0 */
-/* JavaCCOptions: */
-package edu.stanford.nlp.trees.tregex;
-
-/** Token Manager Error. */
-public class TokenMgrError extends Error
-{
-
-  /**
-   * The version identifier for this Serializable class.
-   * Increment only if the <i>serialized</i> form of the
-   * class changes.
-   */
-  private static final long serialVersionUID = 1L;
-
-  /*
-   * Ordinals for various reasons why an Error of this type can be thrown.
-   */
-
-  /**
-   * Lexical error occurred.
-   */
-  static final int LEXICAL_ERROR = 0;
-
-  /**
-   * An attempt was made to create a second instance of a static token manager.
-   */
-  static final int STATIC_LEXER_ERROR = 1;
-
-  /**
-   * Tried to change to an invalid lexical state.
-   */
-  static final int INVALID_LEXICAL_STATE = 2;
-
-  /**
-   * Detected (and bailed out of) an infinite loop in the token manager.
-   */
-  static final int LOOP_DETECTED = 3;
-
-  /**
-   * Indicates the reason why the exception is thrown. It will have
-   * one of the above 4 values.
-   */
-  int errorCode;
-
-  /**
-   * Replaces unprintable characters by their escaped (or unicode escaped)
-   * equivalents in the given string
-   */
-  protected static final String addEscapes(String str) {
-    StringBuffer retval = new StringBuffer();
-    char ch;
-    for (int i = 0; i < str.length(); i++) {
-      switch (str.charAt(i))
-      {
-        case 0 :
-          continue;
-        case '\b':
-          retval.append("\\b");
-          continue;
-        case '\t':
-          retval.append("\\t");
-          continue;
-        case '\n':
-          retval.append("\\n");
-          continue;
-        case '\f':
-          retval.append("\\f");
-          continue;
-        case '\r':
-          retval.append("\\r");
-          continue;
-        case '\"':
-          retval.append("\\\"");
-          continue;
-        case '\'':
-          retval.append("\\\'");
-          continue;
-        case '\\':
-          retval.append("\\\\");
-          continue;
-        default:
-          if ((ch = str.charAt(i)) < 0x20 || ch > 0x7e) {
-            String s = "0000" + Integer.toString(ch, 16);
-            retval.append("\\u" + s.substring(s.length() - 4, s.length()));
-          } else {
-            retval.append(ch);
-          }
-          continue;
-      }
-    }
-    return retval.toString();
-  }
-
-  /**
-   * Returns a detailed message for the Error when it is thrown by the
-   * token manager to indicate a lexical error.
-   * Parameters :
-   *    EOFSeen     : indicates if EOF caused the lexical error
-   *    curLexState : lexical state in which this error occurred
-   *    errorLine   : line number when the error occurred
-   *    errorColumn : column number when the error occurred
-   *    errorAfter  : prefix that was seen before this error occurred
-   *    curchar     : the offending character
-   * Note: You can customize the lexical error message by modifying this method.
-   */
-  protected static String LexicalError(boolean EOFSeen, int lexState, int errorLine, int errorColumn, String errorAfter, char curChar) {
-    return("Lexical error at line " +
-          errorLine + ", column " +
-          errorColumn + ".  Encountered: " +
-          (EOFSeen ? "<EOF> " : ("\"" + addEscapes(String.valueOf(curChar)) + "\"") + " (" + (int)curChar + "), ") +
-          "after : \"" + addEscapes(errorAfter) + "\"");
-  }
-
-  /**
-   * You can also modify the body of this method to customize your error messages.
-   * For example, cases like LOOP_DETECTED and INVALID_LEXICAL_STATE are not
-   * of end-users concern, so you can return something like :
-   *
-   *     "Internal Error : Please file a bug report .... "
-   *
-   * from this method for such cases in the release version of your parser.
-   */
-  public String getMessage() {
-    return super.getMessage();
-  }
-
-  /*
-   * Constructors of various flavors follow.
-   */
-
-  /** No arg constructor. */
-  public TokenMgrError() {
-  }
-
-  /** Constructor with message and reason. */
-  public TokenMgrError(String message, int reason) {
-    super(message);
-    errorCode = reason;
-  }
-
-  /** Full Constructor. */
-  public TokenMgrError(boolean EOFSeen, int lexState, int errorLine, int errorColumn, String errorAfter, char curChar, int reason) {
-    this(LexicalError(EOFSeen, lexState, errorLine, errorColumn, errorAfter, curChar), reason);
-  }
-}
-/* JavaCC - OriginalChecksum=5a9c9a8b540170647b0301a4aefbf4f2 (do not edit this line) */
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexMatcher.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexMatcher.java
deleted file mode 100644
index 29b09c3..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexMatcher.java
+++ /dev/null
@@ -1,177 +0,0 @@
-// TregexMatcher
-// Copyright (c) 2004-2007 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    Support/Questions: parser-user@lists.stanford.edu
-//    Licensing: parser-support@lists.stanford.edu
-//    http://www-nlp.stanford.edu/software/tregex.shtml
-
-package edu.stanford.nlp.trees.tregex;
-
-import java.util.*;
-
-import edu.stanford.nlp.trees.ParentalTreeWrapper;
-import edu.stanford.nlp.trees.Tree;
-
-/**
- * A TregexMatcher can be used to match a {@link TregexPattern} against a {@link edu.stanford.nlp.trees.Tree}.
- * <p>
- * Usage should to be the same as {@link java.util.regex.Matcher}.
- * <p>
- * @author Galen Andrew
- */
-public abstract class TregexMatcher {
-
-  final Tree root;
-  Tree tree;
-  final Map<String, Tree> namesToNodes;
-  final VariableStrings variableStrings;
-
-  // these things are used by "find"
-  Iterator<Tree> findIterator;
-  Tree findCurrent;
-
-
-  TregexMatcher(Tree root, Tree tree, Map<String, Tree> namesToNodes, VariableStrings variableStrings) {
-    this.root = root;
-    this.tree = tree;
-    this.namesToNodes = namesToNodes;
-    this.variableStrings = variableStrings;
-  }
-
-  /**
-   * Resets the matcher so that its search starts over.
-   */
-  public void reset() {
-    findIterator = null;
-    namesToNodes.clear();
-  }
-
-  /**
-   * Resets the matcher to start searching on the given tree for matching subexpressions.
-   *
-   * @param tree The tree to start searching on
-   */
-  void resetChildIter(Tree tree) {
-    this.tree = tree;
-    resetChildIter();
-  }
-
-  /**
-   * Resets the matcher to restart search for matching subexpressions
-   */
-  void resetChildIter() {
-  }
-
-  /**
-   * Does the pattern match the tree?  It's actually closer to java.util.regex's
-   * "lookingAt" in that the root of the tree has to match the root of the pattern
-   * but the whole tree does not have to be "accounted for".  Like with lookingAt
-   * the beginning of the string has to match the pattern, but the whole string
-   * doesn't have to be "accounted for".
-   *
-   * @return whether the tree matches the pattern
-   */
-  public abstract boolean matches();
-
-  /** Rests the matcher and tests if it matches on the tree when rooted at <code>node</code>.
-   *
-   *  @param node The node where the match is checked
-   *  @return whether the matcher matches at node
-   */
-  public boolean matchesAt(Tree node) {
-    resetChildIter(node);
-    return matches();
-  }
-
-  /**
-   * Get the last matching tree -- that is, the tree node that matches the root node of the pattern.
-   * Returns null if there has not been a match.
-   *
-   * @return last match
-   */
-  public abstract Tree getMatch();
-
-
-  /**
-   * Find the next match of the pattern on the tree
-   *
-   * @return whether there is a match somewhere in the tree
-   */
-  public boolean find() {
-    if (findIterator == null) {
-      findIterator = root.iterator();
-    }
-    if (findCurrent != null && matches()) {
-      return true;
-    }
-    while (findIterator.hasNext()) {
-      findCurrent = findIterator.next();
-      resetChildIter(findCurrent);
-      if (matches()) {
-        return true;
-      }
-    }
-    return false;
-  }
-
-  /**
-   * Find the next match of the pattern on the tree such that the
-   * matching node (that is, the tree node matching the root node of
-   * the pattern) differs from the previous matching node.
-   * @return true iff another matching node is found.
-   */
-  public boolean findNextMatchingNode() {
-    Tree lastMatchingNode = getMatch();
-    while(find()) {
-      if(getMatch() != lastMatchingNode)
-        return true;
-    }
-    return false;
-  }
-
-  abstract boolean getChangesVariables();
-
-  /**
-   * Returns the node labeled with <code>name</code> in the pattern.
-   *
-   * @param name the name of the node, specified in the pattern.
-   * @return node labeled by the name
-   */
-  public Tree getNode(String name) {
-    Tree tree = namesToNodes.get(name);
-    if (tree == null)
-      return null;
-    // In TregexPatter, when creating the matcher, we wrapped it in a
-    // ParentalTreeWrapper to make parent calls more efficient.  Here
-    // we undo it
-    if (!(tree instanceof ParentalTreeWrapper))
-      throw new AssertionError();
-    return ((ParentalTreeWrapper) tree).getBackingTree();
-  }
-
-  public Set<String> getNodeNames() {
-    return namesToNodes.keySet();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexParser.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexParser.java
deleted file mode 100644
index e40c90a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexParser.java
+++ /dev/null
@@ -1,664 +0,0 @@
-/* Generated By:JavaCC: Do not edit this line. TregexParser.java */
-package edu.stanford.nlp.trees.tregex;
-// all generated classes are in this package
-
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.trees.HeadFinder;
-
-import java.io.StringReader;
-import java.util.ArrayList;
-import java.util.HashSet;
-import java.util.List;
-import java.util.Set;
-
-class TregexParser implements TregexParserConstants {
-
-  // this is so we can tell, at any point during the parse
-  // whether we are under a negation, which we need to know
-  // because labeling nodes under negation is illegal
-  private boolean underNegation = false;
-
-  private Function<String, String> basicCatFunction =
-    TregexPatternCompiler.DEFAULT_BASIC_CAT_FUNCTION;
-
-  private HeadFinder headFinder =
-    TregexPatternCompiler.DEFAULT_HEAD_FINDER;
-
-  // keep track of which variables we've seen, so that we can reject
-  // some nonsense patterns such as ones that reset variables or link
-  // to variables that haven't been set
-  private Set<String> knownVariables = new HashSet<String>();
-
-  public TregexParser(java.io.Reader stream,
-                      Function<String, String> basicCatFunction,
-                      HeadFinder headFinder) {
-    this(stream);
-    this.basicCatFunction = basicCatFunction;
-    this.headFinder = headFinder;
-  }
-
-// the grammar starts here
-// each of these BNF rules will be converted into a function
-// first expr is return val- passed up the tree after a production
-  final public TregexPattern Root() throws ParseException {
-  TregexPattern node;
-    node = SubNode(Relation.ROOT);
-    jj_consume_token(11);
-    {if (true) return node;}
-    throw new Error("Missing return statement in function");
-  }
-
-// passing arguments down the tree - in this case the relation that
-// pertains to this node gets passed all the way down to the Description node
-  final public TregexPattern Node(Relation r) throws ParseException {
-  TregexPattern node;
-    switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-    case 12:
-      jj_consume_token(12);
-      node = SubNode(r);
-      jj_consume_token(13);
-      break;
-    case IDENTIFIER:
-    case BLANK:
-    case REGEX:
-    case 14:
-    case 15:
-    case 18:
-    case 19:
-      node = ModDescription(r);
-      break;
-    default:
-      jj_la1[0] = jj_gen;
-      jj_consume_token(-1);
-      throw new ParseException();
-    }
-    {if (true) return node;}
-    throw new Error("Missing return statement in function");
-  }
-
-  final public DescriptionPattern SubNode(Relation r) throws ParseException {
-  DescriptionPattern result = null;
-  TregexPattern child = null;
-    switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-    case 12:
-      jj_consume_token(12);
-      result = SubNode(r);
-      jj_consume_token(13);
-      switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-      case RELATION:
-      case REL_W_STR_ARG:
-      case 14:
-      case 22:
-      case 23:
-        child = ChildrenDisj();
-        break;
-      default:
-        jj_la1[1] = jj_gen;
-        ;
-      }
-      if(child != null) {
-        List<TregexPattern> newChildren = new ArrayList<TregexPattern>();
-        newChildren.addAll(result.getChildren());
-        newChildren.add(child);
-        result.setChild(new CoordinationPattern(newChildren,true));
-      }
-      {if (true) return result;}
-      break;
-    case IDENTIFIER:
-    case BLANK:
-    case REGEX:
-    case 14:
-    case 15:
-    case 18:
-    case 19:
-      result = ModDescription(r);
-      switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-      case RELATION:
-      case REL_W_STR_ARG:
-      case 14:
-      case 22:
-      case 23:
-        child = ChildrenDisj();
-        break;
-      default:
-        jj_la1[2] = jj_gen;
-        ;
-      }
-      if (child != null) result.setChild(child);
-      {if (true) return result;}
-      break;
-    default:
-      jj_la1[3] = jj_gen;
-      jj_consume_token(-1);
-      throw new ParseException();
-    }
-    throw new Error("Missing return statement in function");
-  }
-
-  final public DescriptionPattern ModDescription(Relation r) throws ParseException {
-  DescriptionPattern node;
-  boolean neg = false, cat = false;
-    switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-    case 14:
-      jj_consume_token(14);
-             neg = true;
-      break;
-    default:
-      jj_la1[4] = jj_gen;
-      ;
-    }
-    switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-    case 15:
-      jj_consume_token(15);
-                                      cat = true;
-      break;
-    default:
-      jj_la1[5] = jj_gen;
-      ;
-    }
-    node = Description(r, neg, cat);
-    {if (true) return node;}
-    throw new Error("Missing return statement in function");
-  }
-
-  final public DescriptionPattern Description(Relation r, boolean negateDesc, boolean cat) throws ParseException {
-  Token desc = null;
-  Token name = null;
-  Token linkedName = null;
-  boolean link = false;
-  Token groupNum;
-  Token groupVar;
-  List<Pair<Integer,String>> varGroups = new ArrayList<Pair<Integer,String>>();
-    switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-    case IDENTIFIER:
-    case BLANK:
-    case REGEX:
-      switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-      case IDENTIFIER:
-        desc = jj_consume_token(IDENTIFIER);
-        break;
-      case REGEX:
-        desc = jj_consume_token(REGEX);
-        break;
-      case BLANK:
-        desc = jj_consume_token(BLANK);
-        break;
-      default:
-        jj_la1[6] = jj_gen;
-        jj_consume_token(-1);
-        throw new ParseException();
-      }
-      label_1:
-      while (true) {
-        switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-        case 16:
-          ;
-          break;
-        default:
-          jj_la1[7] = jj_gen;
-          break label_1;
-        }
-        jj_consume_token(16);
-        groupNum = jj_consume_token(NUMBER);
-        jj_consume_token(17);
-        groupVar = jj_consume_token(IDENTIFIER);
-        varGroups.add(new Pair<Integer,String>(Integer.parseInt(groupNum.image),groupVar.image));
-      }
-      switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-      case 18:
-        jj_consume_token(18);
-        name = jj_consume_token(IDENTIFIER);
-          if (knownVariables.contains(name.image)) {
-            {if (true) throw new ParseException("Variable " + name.image + " has been declared twice, which makes no sense");}
-          } else {
-            knownVariables.add(name.image);
-          }
-          if (underNegation)
-            {if (true) throw new ParseException("No named tregex nodes allowed in the scope of negation.");}
-        break;
-      default:
-        jj_la1[8] = jj_gen;
-        ;
-      }
-      break;
-    case 19:
-      jj_consume_token(19);
-      linkedName = jj_consume_token(IDENTIFIER);
-      switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-      case 18:
-        jj_consume_token(18);
-        name = jj_consume_token(IDENTIFIER);
-        break;
-      default:
-        jj_la1[9] = jj_gen;
-        ;
-      }
-        if (!knownVariables.contains(linkedName.image)) {
-          {if (true) throw new ParseException("Variable " + linkedName.image +
-                                   " was referenced before it was declared");}
-        }
-        if (name != null) {
-          if (knownVariables.contains(name.image)) {
-            {if (true) throw new ParseException("Variable " + name.image + " has been declared twice, which makes no sense");}
-          } else {
-            knownVariables.add(name.image);
-          }
-        }
-        link = true;
-      break;
-    case 18:
-      jj_consume_token(18);
-      name = jj_consume_token(IDENTIFIER);
-        if (!knownVariables.contains(name.image)) {
-          {if (true) throw new ParseException("Variable " + name.image +
-                                   " was referenced before it was declared");}
-        }
-      break;
-    default:
-      jj_la1[10] = jj_gen;
-      jj_consume_token(-1);
-      throw new ParseException();
-    }
-    DescriptionPattern ret = new DescriptionPattern(r, negateDesc, desc != null ? desc.image : null, name != null ? name.image : null, cat, varGroups, link, linkedName != null ? linkedName.image : null);
-    {if (true) return ret;}
-    throw new Error("Missing return statement in function");
-  }
-
-  final public TregexPattern ChildrenDisj() throws ParseException {
-  TregexPattern child;
-  List<TregexPattern> children = new ArrayList<TregexPattern>();
-  // When we keep track of the known variables to assert that
-  // variables are not redefined, or that links are only set to known
-  // variables, we want to separate those done in different parts of the
-  // disjunction.  Variables set in one part won't be set in the next
-  // part if it gets there, since disjunctions exit once known.
-  Set<String> originalKnownVariables = new HashSet<String>(knownVariables);
-  // However, we want to keep track of all the known variables, so that after
-  // the disjunction is over, we know them all.
-  Set<String> allKnownVariables = new HashSet<String>(knownVariables);
-    child = ChildrenConj();
-      children.add(child);
-      allKnownVariables.addAll(knownVariables);
-    label_2:
-    while (true) {
-      switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-      case 20:
-        ;
-        break;
-      default:
-        jj_la1[11] = jj_gen;
-        break label_2;
-      }
-        knownVariables = new HashSet<String>(originalKnownVariables);
-      jj_consume_token(20);
-      child = ChildrenConj();
-      children.add(child);
-      allKnownVariables.addAll(knownVariables);
-    }
-    knownVariables = allKnownVariables;
-    if (children.size() == 1)
-      {if (true) return child;}
-    else
-      {if (true) return new CoordinationPattern(children, false);}
-    throw new Error("Missing return statement in function");
-  }
-
-  final public TregexPattern ChildrenConj() throws ParseException {
-  TregexPattern child;
-  List<TregexPattern> children = new ArrayList<TregexPattern>();
-    child = ModChild();
-                             children.add(child);
-    label_3:
-    while (true) {
-      switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-      case RELATION:
-      case REL_W_STR_ARG:
-      case 14:
-      case 21:
-      case 22:
-      case 23:
-        ;
-        break;
-      default:
-        jj_la1[12] = jj_gen;
-        break label_3;
-      }
-      switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-      case 21:
-        jj_consume_token(21);
-        break;
-      default:
-        jj_la1[13] = jj_gen;
-        ;
-      }
-      child = ModChild();
-                                      children.add(child);
-    }
-    if (children.size() == 1)
-        {if (true) return child;}
-      else
-        {if (true) return new CoordinationPattern(children, true);}
-    throw new Error("Missing return statement in function");
-  }
-
-  final public TregexPattern ModChild() throws ParseException {
-  TregexPattern child;
-  boolean startUnderNeg;
-    switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-    case RELATION:
-    case REL_W_STR_ARG:
-    case 23:
-      child = Child();
-      break;
-    case 14:
-      jj_consume_token(14);
-          startUnderNeg = underNegation;
-          underNegation = true;
-      child = Child();
-            underNegation = startUnderNeg;
-        child.negate();
-      break;
-    case 22:
-      jj_consume_token(22);
-      child = Child();
-                                child.makeOptional();
-      break;
-    default:
-      jj_la1[14] = jj_gen;
-      jj_consume_token(-1);
-      throw new ParseException();
-    }
-    {if (true) return child;}
-    throw new Error("Missing return statement in function");
-  }
-
-  final public TregexPattern Child() throws ParseException {
-  TregexPattern child;
-    switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-    case 23:
-      jj_consume_token(23);
-      child = ChildrenDisj();
-      jj_consume_token(24);
-      break;
-    case RELATION:
-    case REL_W_STR_ARG:
-      child = Relation();
-      break;
-    default:
-      jj_la1[15] = jj_gen;
-      jj_consume_token(-1);
-      throw new ParseException();
-    }
-    {if (true) return child;}
-    throw new Error("Missing return statement in function");
-  }
-
-  final public TregexPattern Relation() throws ParseException {
-  Token t, strArg = null, numArg = null, negation = null, cat = null;
-  // the easiest way to check if an optional production was used
-  // is to set the token to null and then check it later
-  Relation r;
-  TregexPattern child;
-    switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-    case RELATION:
-      t = jj_consume_token(RELATION);
-      switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-      case NUMBER:
-        numArg = jj_consume_token(NUMBER);
-        break;
-      default:
-        jj_la1[16] = jj_gen;
-        ;
-      }
-      break;
-    case REL_W_STR_ARG:
-      t = jj_consume_token(REL_W_STR_ARG);
-      switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-      case 12:
-        jj_consume_token(12);
-        switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-        case 14:
-          negation = jj_consume_token(14);
-          break;
-        default:
-          jj_la1[17] = jj_gen;
-          ;
-        }
-        switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-        case 15:
-          cat = jj_consume_token(15);
-          break;
-        default:
-          jj_la1[18] = jj_gen;
-          ;
-        }
-        switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-        case REGEX:
-          strArg = jj_consume_token(REGEX);
-          break;
-        case IDENTIFIER:
-          strArg = jj_consume_token(IDENTIFIER);
-          break;
-        case BLANK:
-          strArg = jj_consume_token(BLANK);
-          break;
-        default:
-          jj_la1[19] = jj_gen;
-          jj_consume_token(-1);
-          throw new ParseException();
-        }
-        jj_consume_token(13);
-        break;
-      case REGEX:
-      case 14:
-        switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-        case 14:
-          negation = jj_consume_token(14);
-          break;
-        default:
-          jj_la1[20] = jj_gen;
-          ;
-        }
-        strArg = jj_consume_token(REGEX);
-        break;
-      default:
-        jj_la1[21] = jj_gen;
-        jj_consume_token(-1);
-        throw new ParseException();
-      }
-      break;
-    default:
-      jj_la1[22] = jj_gen;
-      jj_consume_token(-1);
-      throw new ParseException();
-    }
-      if (strArg != null) {
-        String negStr = negation == null ? "": "!";
-        String catStr = cat == null ? "": "@";
-        r = Relation.getRelation(t.image, negStr + catStr + strArg.image,
-                                 basicCatFunction, headFinder);
-      } else if (numArg != null) {
-        if (t.image.endsWith("-")) {
-          t.image = t.image.substring(0, t.image.length()-1);
-          numArg.image = "-" + numArg.image;
-        }
-        r = Relation.getRelation(t.image, numArg.image,
-                                 basicCatFunction, headFinder);
-      } else {
-        r = Relation.getRelation(t.image, basicCatFunction, headFinder);
-      }
-    child = Node(r);
-    {if (true) return child;}
-    throw new Error("Missing return statement in function");
-  }
-
-  /** Generated Token Manager. */
-  public TregexParserTokenManager token_source;
-  SimpleCharStream jj_input_stream;
-  /** Current token. */
-  public Token token;
-  /** Next token. */
-  public Token jj_nt;
-  private int jj_ntk;
-  private int jj_gen;
-  final private int[] jj_la1 = new int[23];
-  static private int[] jj_la1_0;
-  static {
-      jj_la1_init_0();
-   }
-   private static void jj_la1_init_0() {
-      jj_la1_0 = new int[] {0xcd380,0xc04030,0xc04030,0xcd380,0x4000,0x8000,0x380,0x10000,0x40000,0x40000,0xc0380,0x100000,0xe04030,0x200000,0xc04030,0x800030,0x40,0x4000,0x8000,0x380,0x4000,0x5200,0x30,};
-   }
-
-  /** Constructor with InputStream. */
-  public TregexParser(java.io.InputStream stream) {
-     this(stream, null);
-  }
-  /** Constructor with InputStream and supplied encoding */
-  public TregexParser(java.io.InputStream stream, String encoding) {
-    try { jj_input_stream = new SimpleCharStream(stream, encoding, 1, 1); } catch(java.io.UnsupportedEncodingException e) { throw new RuntimeException(e); }
-    token_source = new TregexParserTokenManager(jj_input_stream);
-    token = new Token();
-    jj_ntk = -1;
-    jj_gen = 0;
-    for (int i = 0; i < 23; i++) jj_la1[i] = -1;
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream stream) {
-     ReInit(stream, null);
-  }
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream stream, String encoding) {
-    try { jj_input_stream.ReInit(stream, encoding, 1, 1); } catch(java.io.UnsupportedEncodingException e) { throw new RuntimeException(e); }
-    token_source.ReInit(jj_input_stream);
-    token = new Token();
-    jj_ntk = -1;
-    jj_gen = 0;
-    for (int i = 0; i < 23; i++) jj_la1[i] = -1;
-  }
-
-  /** Constructor. */
-  public TregexParser(java.io.Reader stream) {
-    jj_input_stream = new SimpleCharStream(stream, 1, 1);
-    token_source = new TregexParserTokenManager(jj_input_stream);
-    token = new Token();
-    jj_ntk = -1;
-    jj_gen = 0;
-    for (int i = 0; i < 23; i++) jj_la1[i] = -1;
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.Reader stream) {
-    jj_input_stream.ReInit(stream, 1, 1);
-    token_source.ReInit(jj_input_stream);
-    token = new Token();
-    jj_ntk = -1;
-    jj_gen = 0;
-    for (int i = 0; i < 23; i++) jj_la1[i] = -1;
-  }
-
-  /** Constructor with generated Token Manager. */
-  public TregexParser(TregexParserTokenManager tm) {
-    token_source = tm;
-    token = new Token();
-    jj_ntk = -1;
-    jj_gen = 0;
-    for (int i = 0; i < 23; i++) jj_la1[i] = -1;
-  }
-
-  /** Reinitialise. */
-  public void ReInit(TregexParserTokenManager tm) {
-    token_source = tm;
-    token = new Token();
-    jj_ntk = -1;
-    jj_gen = 0;
-    for (int i = 0; i < 23; i++) jj_la1[i] = -1;
-  }
-
-  private Token jj_consume_token(int kind) throws ParseException {
-    Token oldToken;
-    if ((oldToken = token).next != null) token = token.next;
-    else token = token.next = token_source.getNextToken();
-    jj_ntk = -1;
-    if (token.kind == kind) {
-      jj_gen++;
-      return token;
-    }
-    token = oldToken;
-    jj_kind = kind;
-    throw generateParseException();
-  }
-
-
-/** Get the next Token. */
-  final public Token getNextToken() {
-    if (token.next != null) token = token.next;
-    else token = token.next = token_source.getNextToken();
-    jj_ntk = -1;
-    jj_gen++;
-    return token;
-  }
-
-/** Get the specific Token. */
-  final public Token getToken(int index) {
-    Token t = token;
-    for (int i = 0; i < index; i++) {
-      if (t.next != null) t = t.next;
-      else t = t.next = token_source.getNextToken();
-    }
-    return t;
-  }
-
-  private int jj_ntk() {
-    if ((jj_nt=token.next) == null)
-      return (jj_ntk = (token.next=token_source.getNextToken()).kind);
-    else
-      return (jj_ntk = jj_nt.kind);
-  }
-
-  private java.util.List<int[]> jj_expentries = new java.util.ArrayList<int[]>();
-  private int[] jj_expentry;
-  private int jj_kind = -1;
-
-  /** Generate ParseException. */
-  public ParseException generateParseException() {
-    jj_expentries.clear();
-    boolean[] la1tokens = new boolean[25];
-    if (jj_kind >= 0) {
-      la1tokens[jj_kind] = true;
-      jj_kind = -1;
-    }
-    for (int i = 0; i < 23; i++) {
-      if (jj_la1[i] == jj_gen) {
-        for (int j = 0; j < 32; j++) {
-          if ((jj_la1_0[i] & (1<<j)) != 0) {
-            la1tokens[j] = true;
-          }
-        }
-      }
-    }
-    for (int i = 0; i < 25; i++) {
-      if (la1tokens[i]) {
-        jj_expentry = new int[1];
-        jj_expentry[0] = i;
-        jj_expentries.add(jj_expentry);
-      }
-    }
-    int[][] exptokseq = new int[jj_expentries.size()][];
-    for (int i = 0; i < jj_expentries.size(); i++) {
-      exptokseq[i] = jj_expentries.get(i);
-    }
-    return new ParseException(token, exptokseq, tokenImage);
-  }
-
-  /** Enable tracing. */
-  final public void enable_tracing() {
-  }
-
-  /** Disable tracing. */
-  final public void disable_tracing() {
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexParserConstants.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexParserConstants.java
deleted file mode 100644
index ec670e0..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexParserConstants.java
+++ /dev/null
@@ -1,60 +0,0 @@
-/* Generated By:JavaCC: Do not edit this line. TregexParserConstants.java */
-package edu.stanford.nlp.trees.tregex;
-
-
-/**
- * Token literal values and constants.
- * Generated by org.javacc.parser.OtherFilesGen#start()
- */
-public interface TregexParserConstants {
-
-  /** End of File. */
-  int EOF = 0;
-  /** RegularExpression Id. */
-  int RELATION = 4;
-  /** RegularExpression Id. */
-  int REL_W_STR_ARG = 5;
-  /** RegularExpression Id. */
-  int NUMBER = 6;
-  /** RegularExpression Id. */
-  int IDENTIFIER = 7;
-  /** RegularExpression Id. */
-  int BLANK = 8;
-  /** RegularExpression Id. */
-  int REGEX = 9;
-  /** RegularExpression Id. */
-  int VARNAME = 10;
-
-  /** Lexical state. */
-  int DEFAULT = 0;
-
-  /** Literal token values. */
-  String[] tokenImage = {
-    "<EOF>",
-    "\" \"",
-    "\"\\r\"",
-    "\"\\t\"",
-    "<RELATION>",
-    "<REL_W_STR_ARG>",
-    "<NUMBER>",
-    "<IDENTIFIER>",
-    "\"__\"",
-    "<REGEX>",
-    "<VARNAME>",
-    "\"\\n\"",
-    "\"(\"",
-    "\")\"",
-    "\"!\"",
-    "\"@\"",
-    "\"#\"",
-    "\"%\"",
-    "\"=\"",
-    "\"~\"",
-    "\"|\"",
-    "\"&\"",
-    "\"?\"",
-    "\"[\"",
-    "\"]\"",
-  };
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexParserTokenManager.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexParserTokenManager.java
deleted file mode 100644
index f1a1c0e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexParserTokenManager.java
+++ /dev/null
@@ -1,636 +0,0 @@
-/* Generated By:JavaCC: Do not edit this line. TregexParserTokenManager.java */
-package edu.stanford.nlp.trees.tregex;
-// all generated classes are in this package
-
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.trees.HeadFinder;
-import java.io.StringReader;
-import java.util.ArrayList;
-import java.util.HashSet;
-import java.util.List;
-import java.util.Set;
-
-/** Token Manager. */
-public class TregexParserTokenManager implements TregexParserConstants
-{
-
-  /** Debug output. */
-  public  java.io.PrintStream debugStream = System.out;
-  /** Set debug output. */
-  public  void setDebugStream(java.io.PrintStream ds) { debugStream = ds; }
-private final int jjStopStringLiteralDfa_0(int pos, long active0)
-{
-   switch (pos)
-   {
-      case 0:
-         if ((active0 & 0x8L) != 0L)
-            return 6;
-         if ((active0 & 0x40000L) != 0L)
-            return 1;
-         return -1;
-      default :
-         return -1;
-   }
-}
-private final int jjStartNfa_0(int pos, long active0)
-{
-   return jjMoveNfa_0(jjStopStringLiteralDfa_0(pos, active0), pos + 1);
-}
-private int jjStopAtPos(int pos, int kind)
-{
-   jjmatchedKind = kind;
-   jjmatchedPos = pos;
-   return pos + 1;
-}
-private int jjMoveStringLiteralDfa0_0()
-{
-   switch(curChar)
-   {
-      case 9:
-         return jjStartNfaWithStates_0(0, 3, 6);
-      case 10:
-         return jjStopAtPos(0, 11);
-      case 33:
-         return jjStopAtPos(0, 14);
-      case 35:
-         return jjStopAtPos(0, 16);
-      case 37:
-         return jjStopAtPos(0, 17);
-      case 38:
-         return jjStopAtPos(0, 21);
-      case 40:
-         return jjStopAtPos(0, 12);
-      case 41:
-         return jjStopAtPos(0, 13);
-      case 61:
-         return jjStartNfaWithStates_0(0, 18, 1);
-      case 63:
-         return jjStopAtPos(0, 22);
-      case 64:
-         return jjStopAtPos(0, 15);
-      case 91:
-         return jjStopAtPos(0, 23);
-      case 93:
-         return jjStopAtPos(0, 24);
-      case 95:
-         return jjMoveStringLiteralDfa1_0(0x100L);
-      case 124:
-         return jjStopAtPos(0, 20);
-      case 126:
-         return jjStopAtPos(0, 19);
-      default :
-         return jjMoveNfa_0(0, 0);
-   }
-}
-private int jjMoveStringLiteralDfa1_0(long active0)
-{
-   try { curChar = input_stream.readChar(); }
-   catch(java.io.IOException e) {
-      jjStopStringLiteralDfa_0(0, active0);
-      return 1;
-   }
-   switch(curChar)
-   {
-      case 95:
-         if ((active0 & 0x100L) != 0L)
-            return jjStopAtPos(1, 8);
-         break;
-      default :
-         break;
-   }
-   return jjStartNfa_0(0, active0);
-}
-private int jjStartNfaWithStates_0(int pos, int kind, int state)
-{
-   jjmatchedKind = kind;
-   jjmatchedPos = pos;
-   try { curChar = input_stream.readChar(); }
-   catch(java.io.IOException e) { return pos + 1; }
-   return jjMoveNfa_0(state, pos + 1);
-}
-static final long[] jjbitVec0 = {
-   0xfffffffffffffffeL, 0xffffffffffffffffL, 0xffffffffffffffffL, 0xffffffffffffffffL
-};
-static final long[] jjbitVec2 = {
-   0x0L, 0x0L, 0xffffffffffffffffL, 0xffffffffffffffffL
-};
-private int jjMoveNfa_0(int startState, int curPos)
-{
-   int startsAt = 0;
-   jjnewStateCnt = 42;
-   int i = 1;
-   jjstateSet[0] = startState;
-   int kind = 0x7fffffff;
-   for (;;)
-   {
-      if (++jjround == 0x7fffffff)
-         ReInitRounds();
-      if (curChar < 64)
-      {
-         long l = 1L << curChar;
-         do
-         {
-            switch(jjstateSet[--i])
-            {
-               case 0:
-                  if ((0x8002c84ffffdbffL & l) != 0L)
-                  {
-                     if (kind > 7)
-                        kind = 7;
-                     jjCheckNAdd(6);
-                  }
-                  else if ((0x3ff000000000000L & l) != 0L)
-                  {
-                     if (kind > 6)
-                        kind = 6;
-                     jjCheckNAdd(4);
-                  }
-                  else if ((0x5400501000000000L & l) != 0L)
-                  {
-                     if (kind > 4)
-                        kind = 4;
-                  }
-                  else if (curChar == 47)
-                     jjCheckNAddStates(0, 2);
-                  else if (curChar == 61)
-                     jjstateSet[jjnewStateCnt++] = 1;
-                  if (curChar == 62)
-                     jjCheckNAddStates(3, 14);
-                  else if (curChar == 60)
-                     jjCheckNAddStates(15, 26);
-                  else if (curChar == 44)
-                     jjCheckNAddTwoStates(20, 23);
-                  else if (curChar == 46)
-                     jjCheckNAddTwoStates(18, 23);
-                  else if (curChar == 36)
-                     jjCheckNAddStates(27, 34);
-                  else if (curChar == 45)
-                     jjCheckNAdd(4);
-                  break;
-               case 1:
-                  if (curChar == 61 && kind > 4)
-                     kind = 4;
-                  break;
-               case 2:
-                  if (curChar == 61)
-                     jjstateSet[jjnewStateCnt++] = 1;
-                  break;
-               case 3:
-                  if (curChar == 45)
-                     jjCheckNAdd(4);
-                  break;
-               case 4:
-                  if ((0x3ff000000000000L & l) == 0L)
-                     break;
-                  if (kind > 6)
-                     kind = 6;
-                  jjCheckNAdd(4);
-                  break;
-               case 5:
-                  if ((0x8002c84ffffdbffL & l) == 0L)
-                     break;
-                  if (kind > 7)
-                     kind = 7;
-                  jjCheckNAdd(6);
-                  break;
-               case 6:
-                  if ((0x5fffadecffffdbffL & l) == 0L)
-                     break;
-                  if (kind > 7)
-                     kind = 7;
-                  jjCheckNAdd(6);
-                  break;
-               case 7:
-               case 8:
-                  if (curChar == 47)
-                     jjCheckNAddStates(0, 2);
-                  break;
-               case 10:
-                  if ((0xffff7fffffffdbffL & l) != 0L)
-                     jjCheckNAddStates(0, 2);
-                  break;
-               case 11:
-                  if (curChar == 47 && kind > 9)
-                     kind = 9;
-                  break;
-               case 13:
-                  if (curChar == 36)
-                     jjCheckNAddStates(27, 34);
-                  break;
-               case 14:
-                  if (curChar == 43 && kind > 4)
-                     kind = 4;
-                  break;
-               case 15:
-                  if (curChar == 43)
-                     jjCheckNAdd(14);
-                  break;
-               case 16:
-                  if (curChar == 45 && kind > 4)
-                     kind = 4;
-                  break;
-               case 17:
-                  if (curChar == 45)
-                     jjCheckNAdd(16);
-                  break;
-               case 18:
-                  if (curChar == 46 && kind > 4)
-                     kind = 4;
-                  break;
-               case 19:
-                  if (curChar == 46)
-                     jjCheckNAdd(18);
-                  break;
-               case 20:
-                  if (curChar == 44 && kind > 4)
-                     kind = 4;
-                  break;
-               case 21:
-                  if (curChar == 44)
-                     jjCheckNAdd(20);
-                  break;
-               case 22:
-                  if (curChar == 46)
-                     jjCheckNAddTwoStates(18, 23);
-                  break;
-               case 23:
-                  if (curChar == 43 && kind > 5)
-                     kind = 5;
-                  break;
-               case 24:
-                  if (curChar == 44)
-                     jjCheckNAddTwoStates(20, 23);
-                  break;
-               case 25:
-                  if (curChar == 60)
-                     jjCheckNAddStates(15, 26);
-                  break;
-               case 26:
-                  if (curChar == 60 && kind > 4)
-                     kind = 4;
-                  break;
-               case 27:
-                  if (curChar == 60)
-                     jjCheckNAdd(20);
-                  break;
-               case 28:
-                  if (curChar == 60)
-                     jjCheckNAdd(16);
-                  break;
-               case 30:
-                  if (curChar == 60)
-                     jjCheckNAdd(29);
-                  break;
-               case 31:
-                  if (curChar == 58 && kind > 4)
-                     kind = 4;
-                  break;
-               case 32:
-                  if (curChar == 60)
-                     jjCheckNAdd(31);
-                  break;
-               case 33:
-                  if (curChar == 35 && kind > 4)
-                     kind = 4;
-                  break;
-               case 34:
-                  if (curChar == 60)
-                     jjCheckNAdd(33);
-                  break;
-               case 35:
-                  if (curChar == 62)
-                     jjCheckNAddStates(3, 14);
-                  break;
-               case 36:
-                  if (curChar == 62 && kind > 4)
-                     kind = 4;
-                  break;
-               case 37:
-                  if (curChar == 62)
-                     jjCheckNAdd(20);
-                  break;
-               case 38:
-                  if (curChar == 62)
-                     jjCheckNAdd(16);
-                  break;
-               case 39:
-                  if (curChar == 62)
-                     jjCheckNAdd(29);
-                  break;
-               case 40:
-                  if (curChar == 62)
-                     jjCheckNAdd(31);
-                  break;
-               case 41:
-                  if (curChar == 62)
-                     jjCheckNAdd(33);
-                  break;
-               default : break;
-            }
-         } while(i != startsAt);
-      }
-      else if (curChar < 128)
-      {
-         long l = 1L << (curChar & 077);
-         do
-         {
-            switch(jjstateSet[--i])
-            {
-               case 0:
-                  if ((0xafffffff57fffffeL & l) != 0L)
-                  {
-                     if (kind > 7)
-                        kind = 7;
-                     jjCheckNAdd(6);
-                  }
-                  if ((0x7fffffe07fffffeL & l) != 0L)
-                  {
-                     if (kind > 10)
-                        kind = 10;
-                     jjCheckNAdd(12);
-                  }
-                  break;
-               case 5:
-                  if ((0xafffffff57fffffeL & l) == 0L)
-                     break;
-                  if (kind > 7)
-                     kind = 7;
-                  jjCheckNAdd(6);
-                  break;
-               case 6:
-                  if ((0xffffffff97ffffffL & l) == 0L)
-                     break;
-                  if (kind > 7)
-                     kind = 7;
-                  jjCheckNAdd(6);
-                  break;
-               case 9:
-                  if (curChar == 92)
-                     jjstateSet[jjnewStateCnt++] = 8;
-                  break;
-               case 10:
-                  jjAddStates(0, 2);
-                  break;
-               case 12:
-                  if ((0x7fffffe07fffffeL & l) == 0L)
-                     break;
-                  if (kind > 10)
-                     kind = 10;
-                  jjCheckNAdd(12);
-                  break;
-               case 29:
-                  if (curChar == 96 && kind > 4)
-                     kind = 4;
-                  break;
-               default : break;
-            }
-         } while(i != startsAt);
-      }
-      else
-      {
-         int hiByte = (curChar >> 8);
-         int i1 = hiByte >> 6;
-         long l1 = 1L << (hiByte & 077);
-         int i2 = (curChar & 0xff) >> 6;
-         long l2 = 1L << (curChar & 077);
-         do
-         {
-            switch(jjstateSet[--i])
-            {
-               case 0:
-               case 6:
-                  if (!jjCanMove_0(hiByte, i1, i2, l1, l2))
-                     break;
-                  if (kind > 7)
-                     kind = 7;
-                  jjCheckNAdd(6);
-                  break;
-               case 10:
-                  if (jjCanMove_0(hiByte, i1, i2, l1, l2))
-                     jjAddStates(0, 2);
-                  break;
-               default : break;
-            }
-         } while(i != startsAt);
-      }
-      if (kind != 0x7fffffff)
-      {
-         jjmatchedKind = kind;
-         jjmatchedPos = curPos;
-         kind = 0x7fffffff;
-      }
-      ++curPos;
-      if ((i = jjnewStateCnt) == (startsAt = 42 - (jjnewStateCnt = startsAt)))
-         return curPos;
-      try { curChar = input_stream.readChar(); }
-      catch(java.io.IOException e) { return curPos; }
-   }
-}
-static final int[] jjnextStates = {
-   9, 10, 11, 36, 37, 38, 20, 16, 29, 39, 31, 40, 33, 41, 23, 26, 
-   27, 28, 20, 16, 29, 30, 31, 32, 33, 34, 23, 15, 17, 14, 16, 18, 
-   19, 20, 21, 
-};
-private static final boolean jjCanMove_0(int hiByte, int i1, int i2, long l1, long l2)
-{
-   switch(hiByte)
-   {
-      case 0:
-         return ((jjbitVec2[i2] & l2) != 0L);
-      default :
-         if ((jjbitVec0[i1] & l1) != 0L)
-            return true;
-         return false;
-   }
-}
-
-/** Token literal values. */
-public static final String[] jjstrLiteralImages = {
-"", null, null, null, null, null, null, null, "\137\137", null, null, "\12", 
-"\50", "\51", "\41", "\100", "\43", "\45", "\75", "\176", "\174", "\46", "\77", 
-"\133", "\135", };
-
-/** Lexer state names. */
-public static final String[] lexStateNames = {
-   "DEFAULT",
-};
-static final long[] jjtoToken = {
-   0x1fffff1L, 
-};
-static final long[] jjtoSkip = {
-   0xeL, 
-};
-protected SimpleCharStream input_stream;
-private final int[] jjrounds = new int[42];
-private final int[] jjstateSet = new int[84];
-protected char curChar;
-/** Constructor. */
-public TregexParserTokenManager(SimpleCharStream stream){
-   if (SimpleCharStream.staticFlag)
-      throw new Error("ERROR: Cannot use a static CharStream class with a non-static lexical analyzer.");
-   input_stream = stream;
-}
-
-/** Constructor. */
-public TregexParserTokenManager(SimpleCharStream stream, int lexState){
-   this(stream);
-   SwitchTo(lexState);
-}
-
-/** Reinitialise parser. */
-public void ReInit(SimpleCharStream stream)
-{
-   jjmatchedPos = jjnewStateCnt = 0;
-   curLexState = defaultLexState;
-   input_stream = stream;
-   ReInitRounds();
-}
-private void ReInitRounds()
-{
-   int i;
-   jjround = 0x80000001;
-   for (i = 42; i-- > 0;)
-      jjrounds[i] = 0x80000000;
-}
-
-/** Reinitialise parser. */
-public void ReInit(SimpleCharStream stream, int lexState)
-{
-   ReInit(stream);
-   SwitchTo(lexState);
-}
-
-/** Switch to specified lex state. */
-public void SwitchTo(int lexState)
-{
-   if (lexState >= 1 || lexState < 0)
-      throw new TokenMgrError("Error: Ignoring invalid lexical state : " + lexState + ". State unchanged.", TokenMgrError.INVALID_LEXICAL_STATE);
-   else
-      curLexState = lexState;
-}
-
-protected Token jjFillToken()
-{
-   final Token t;
-   final String curTokenImage;
-   final int beginLine;
-   final int endLine;
-   final int beginColumn;
-   final int endColumn;
-   String im = jjstrLiteralImages[jjmatchedKind];
-   curTokenImage = (im == null) ? input_stream.GetImage() : im;
-   beginLine = input_stream.getBeginLine();
-   beginColumn = input_stream.getBeginColumn();
-   endLine = input_stream.getEndLine();
-   endColumn = input_stream.getEndColumn();
-   t = Token.newToken(jjmatchedKind, curTokenImage);
-
-   t.beginLine = beginLine;
-   t.endLine = endLine;
-   t.beginColumn = beginColumn;
-   t.endColumn = endColumn;
-
-   return t;
-}
-
-int curLexState = 0;
-int defaultLexState = 0;
-int jjnewStateCnt;
-int jjround;
-int jjmatchedPos;
-int jjmatchedKind;
-
-/** Get the next Token. */
-public Token getNextToken() 
-{
-  Token matchedToken;
-  int curPos = 0;
-
-  EOFLoop :
-  for (;;)
-  {
-   try
-   {
-      curChar = input_stream.BeginToken();
-   }
-   catch(java.io.IOException e)
-   {
-      jjmatchedKind = 0;
-      matchedToken = jjFillToken();
-      return matchedToken;
-   }
-
-   try { input_stream.backup(0);
-      while (curChar <= 32 && (0x100002000L & (1L << curChar)) != 0L)
-         curChar = input_stream.BeginToken();
-   }
-   catch (java.io.IOException e1) { continue EOFLoop; }
-   jjmatchedKind = 0x7fffffff;
-   jjmatchedPos = 0;
-   curPos = jjMoveStringLiteralDfa0_0();
-   if (jjmatchedKind != 0x7fffffff)
-   {
-      if (jjmatchedPos + 1 < curPos)
-         input_stream.backup(curPos - jjmatchedPos - 1);
-      if ((jjtoToken[jjmatchedKind >> 6] & (1L << (jjmatchedKind & 077))) != 0L)
-      {
-         matchedToken = jjFillToken();
-         return matchedToken;
-      }
-      else
-      {
-         continue EOFLoop;
-      }
-   }
-   int error_line = input_stream.getEndLine();
-   int error_column = input_stream.getEndColumn();
-   String error_after = null;
-   boolean EOFSeen = false;
-   try { input_stream.readChar(); input_stream.backup(1); }
-   catch (java.io.IOException e1) {
-      EOFSeen = true;
-      error_after = curPos <= 1 ? "" : input_stream.GetImage();
-      if (curChar == '\n' || curChar == '\r') {
-         error_line++;
-         error_column = 0;
-      }
-      else
-         error_column++;
-   }
-   if (!EOFSeen) {
-      input_stream.backup(1);
-      error_after = curPos <= 1 ? "" : input_stream.GetImage();
-   }
-   throw new TokenMgrError(EOFSeen, curLexState, error_line, error_column, error_after, curChar, TokenMgrError.LEXICAL_ERROR);
-  }
-}
-
-private void jjCheckNAdd(int state)
-{
-   if (jjrounds[state] != jjround)
-   {
-      jjstateSet[jjnewStateCnt++] = state;
-      jjrounds[state] = jjround;
-   }
-}
-private void jjAddStates(int start, int end)
-{
-   do {
-      jjstateSet[jjnewStateCnt++] = jjnextStates[start];
-   } while (start++ != end);
-}
-private void jjCheckNAddTwoStates(int state1, int state2)
-{
-   jjCheckNAdd(state1);
-   jjCheckNAdd(state2);
-}
-
-private void jjCheckNAddStates(int start, int end)
-{
-   do {
-      jjCheckNAdd(jjnextStates[start]);
-   } while (start++ != end);
-}
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexPattern.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexPattern.java
deleted file mode 100644
index fe92fdb..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexPattern.java
+++ /dev/null
@@ -1,880 +0,0 @@
-// TregexPattern -- a Tgrep2-style utility for recognizing patterns in trees.
-// Tregex/Tsurgeon Distribution
-// Copyright (c) 2003-2008 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    Support/Questions: parser-user@lists.stanford.edu
-//    Licensing: parser-support@lists.stanford.edu
-//    http://www-nlp.stanford.edu/software/tregex.shtml
-
-
-package edu.stanford.nlp.trees.tregex;
-
-import java.io.*;
-import java.util.*;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-import edu.stanford.nlp.io.IOUtils;
-import edu.stanford.nlp.ling.StringLabelFactory;
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.trees.*;
-import edu.stanford.nlp.util.Pair;
-import edu.stanford.nlp.util.StringUtils;
-import edu.stanford.nlp.util.Timing;
-
-
-/**
- * A TregexPattern is a <code>tgrep</code>-type pattern for matching tree
- * node configurations.  Unlike <code>tgrep</code> but like Unix
- * <code>grep</code>, there is no pre-indexing of the data to be searched.
- * Rather there is a linear scan through the trees where matches are sought.
- *
- * <p> TregexPattern instances can be matched against instances of the {@link Tree} class.
- * The {@link #main} method can be used to find matching nodes of a treebank from the command line.
- *
- * <p>
- * Currently supported node/node relations and their symbols:
- * <p>
- * <table border = "1">
- * <tr><th>Symbol<th>Meaning
- * <tr><td>A &lt;&lt; B <td>A dominates B
- * <tr><td>A &gt;&gt; B <td>A is dominated by B
- * <tr><td>A &lt; B <td>A immediately dominates B
- * <tr><td>A &gt; B <td>A is immediately dominated by B
- * <tr><td>A &#36; B <td>A is a sister of B (and not equal to B)
- * <tr><td>A .. B <td>A precedes B
- * <tr><td>A . B <td>A immediately precedes B
- * <tr><td>A ,, B <td>A follows B
- * <tr><td>A , B <td>A immediately follows B
- * <tr><td>A &lt;&lt;, B <td>B is a leftmost descendant of A
- * <tr><td>A &lt;&lt;- B <td>B is a rightmost descendant of A
- * <tr><td>A &gt;&gt;, B <td>A is a leftmost descendant of B
- * <tr><td>A &gt;&gt;- B <td>A is a rightmost descendant of B
- * <tr><td>A &lt;, B <td>B is the first child of A
- * <tr><td>A &gt;, B <td>A is the first child of B
- * <tr><td>A &lt;- B <td>B is the last child of A
- * <tr><td>A &gt;- B <td>A is the last child of B
- * <tr><td>A &lt;` B <td>B is the last child of A
- * <tr><td>A &gt;` B <td>A is the last child of B
- * <tr><td>A &lt;i B <td>B is the ith child of A (i > 0)
- * <tr><td>A &gt;i B <td>A is the ith child of B (i > 0)
- * <tr><td>A &lt;-i B <td>B is the ith-to-last child of A (i > 0)
- * <tr><td>A &gt;-i B <td>A is the ith-to-last child of B (i > 0)
- * <tr><td>A &lt;: B <td>B is the only child of A
- * <tr><td>A &gt;: B <td>A is the only child of B
- * <tr><td>A &lt;&lt;: B <td>A dominates B via an unbroken chain (length > 0) of unary local trees.
- * <tr><td>A &gt;&gt;: B <td>A is dominated by B via an unbroken chain (length > 0) of unary local trees.
- * <tr><td>A &#36;++ B <td>A is a left sister of B (same as &#36;.. for context-free trees)
- * <tr><td>A &#36;-- B <td>A is a right sister of B (same as &#36;,, for context-free trees)
- * <tr><td>A &#36;+ B <td>A is the immediate left sister of B (same as &#36;. for context-free trees)
- * <tr><td>A &#36;- B <td>A is the immediate right sister of B (same as &#36;, for context-free trees)
- * <tr><td>A &#36;.. B <td>A is a sister of B and precedes B
- * <tr><td>A &#36;,, B <td>A is a sister of B and follows B
- * <tr><td>A &#36;. B <td>A is a sister of B and immediately precedes B
- * <tr><td>A &#36;, B <td>A is a sister of B and immediately follows B
- * <tr><td>A &lt;+(C) B <td>A dominates B via an unbroken chain of (zero or more) nodes matching description C
- * <tr><td>A &gt;+(C) B <td>A is dominated by B via an unbroken chain of (zero or more) nodes matching description C
- * <tr><td>A .+(C) B <td>A precedes B via an unbroken chain of (zero or more) nodes matching description C
- * <tr><td>A ,+(C) B <td>A follows B via an unbroken chain of (zero or more) nodes matching description C
- * <tr><td>A &lt;&lt;&#35; B <td>B is a head of phrase A
- * <tr><td>A &gt;&gt;&#35; B <td>A is a head of phrase B
- * <tr><td>A &lt;&#35; B <td>B is the immediate head of phrase A
- * <tr><td>A &gt;&#35; B <td>A is the immediate head of phrase B
- * <tr><td>A == B <td>A and B are the same node
- * <tr><td>A : B<td>[this is a pattern-segmenting operator that places no constraints on the relationship between A and B]
- * </table>
- * <p> Label descriptions can be literal strings, which much match labels
- * exactly, or regular expressions in regular expression bars: /regex/.
- * Literal string matching proceeds as String equality.
- * In order to prevent ambiguity with other Tregex symbols, only standard
- * "identifiers" are allowed as literals, i.e., strings matching
- * [a-zA-Z]([a-zA-Z0-9_])* .
- * If you want to use other symbols, you can do so by using a regular
- * expression instead of a literal string.
- * A disjunctive list of literal strings can be given separated by '|'.
- * The special string '__' (two underscores) can be used to match any
- * node.  (WARNING!!  Use of the '__' node description may seriously
- * slow down search.)  If a label description is preceded by '@', the
- * label will match any node whose <em>basicCategory</em> matches the
- * description.  <emph>NB: A single '@' thus scopes over a disjunction
- * specified by '|': @NP|VP means things with basic category NP or VP.
- * </emph> The basicCategory is defined according to a Function
- * mapping Strings to Strings, as provided by
- * {@link edu.stanford.nlp.trees.AbstractTreebankLanguagePack#getBasicCategoryFunction()}.
- * Label description regular expressions are matched as <code>find()</code>,
- * as in Perl/tgrep;
- * you need to specify <code>^</code> or <code>$</code> to constrain matches.
- * <p/>
- * In a chain of relations, all relations are relative to the first node in
- * the chain. For example, <code> (S &lt; VP &lt; NP) </code> means
- * "an S over a VP and also over an NP".
- * If instead what you want is an S above a VP above an NP, you should write
- * "<code>S &lt; (VP &lt; NP)</code>".
- * <p> Nodes can be grouped using parens '(' and ')'
- * as in <code> S &lt; (NP $++ VP) </code> to match an S
- * over an NP, where the NP has a VP as a right sister.
- *
- * <h3>Notes on relations</h3>
- *
- * <p>
- * Node <code>B</code> "follows" node <code>A</code> if <code>B</code>
- * or one of its ancestors is a right sibling of <code>A</code> or one
- * of its ancestors.  Node <code>B</code> "immediately follows" node
- * <code>A</code> if <code>B</code> follows <code>A</code> and there
- * is no node <code>C</code> such that <code>B</code> follows
- * <code>C</code> and <code>C</code> follows <code>A</code>.
- *
- * <p>
- * Node <code>A</code> dominates <code>B</code> through an unbroken
- * chain of unary local trees only if <code>A</code> is also
- * unary. <code>(A (B))</code> is a valid example that matches <code>A
- * &lt;&lt;: B</code>
- *
- * <p>
- * When specifying that nodes are dominated via an unbroken chain of
- * nodes matching a description <code>C</code>, the description
- * <code>C</code> cannot be a full Tregex expression, but only an
- * expression specifying the name of the node.  Negation of this
- * description is allowed.
- *
- * <p>
- * == has the same precedence as the other relations, so the expression
- * <code>A &lt;&lt; B == A &lt;&lt; C</code> associates as
- * <code>(((A &lt;&lt; B) == A) &lt;&lt; C)</code>, not as
- * <code>((A &lt;&lt; B) == (A &lt;&lt; C))</code>.  (Both expressions are
- * equivalent, of course, but this is just an example.)
- *
- * <h3>Boolean relational operators</h3>
- *
- * <p> Relations can be combined using the '&' and '|' operators, negated with the '!' operator, and made optional with the '?' operator.  Thus
- * <code> (NP < NN | < NNS) </code> will match an NP node dominating either
- * an NN or an NNS.  <code> (NP > S & $++ VP) </code> matches an NP that
- * is both under an S and has a VP as a right sister.
- * <p>
- * Expressions stop evaluating as soon as the result is known.  For
- * example, if the pattern is <code>NP=a | NNP=b</code> and the NP
- * matches, then variable <code>b</code> will not be assigned even if
- * there is an NNP in the tree.
- *
- * <p> Relations can be grouped using brackets '[' and ']'.  So the
- * expression
- *
- * <blockquote>
- * <code> NP [< NN | < NNS] & > S </code>
- * </blockquote>
- *
- *  matches an NP that (1) dominates either an NN or an NNS, and (2) is under an S.  Without
- * brackets, & takes precedence over |, and equivalent operators are
- * left-associative.  Also note that & is the default combining operator if the
- * operator is omitted in a chain of relations, so that the two patterns are equivalent:
- *
- * <blockquote>
- * <code> (S < VP < NP) </code><br>
- * <code> (S < VP & < NP) </code>
- * </blockquote>
- *
- * As another example, <code> (VP < VV | < NP % NP)
- * </code> can be written explicitly as <code> (VP [< VV | [< NP & % NP] ] )
- * </code>
- *
- * <p> Relations can be negated with the '!' operator, in which case the
- * expression will match only if there is no node satisfying the relation.
- * For example <code> (NP !< NNP) </code> matches only NPs not dominating
- * an NNP.  Label descriptions can also be negated with '!': (NP < !NNP|NNS) matches
- * NPs dominating some node that is not an NNP or an NNS.
-
- * <p> Relations can be made optional with the '?' operator.  This way the
- * expression will match even if the optional relation is not satisfied.  This is useful when used together
- *  with node naming (see below).
- *
- * <p><h3>Basic Categories</h3>
- *
- * <p> In order to consider only the "basic category" of a tree label,
- * i.e. to ignore functional tags or other annotations on the label,
- * prefix that node's description with the &#64; symbol.  For example
- * <code> (@NP < @/NN.?/) </code>  This can only be used for individual nodes;
- * if you want all nodes to use the basic category, it would be more efficient
- * to use a {@link edu.stanford.nlp.trees.TreeNormalizer} to remove functional
- * tags before passing the tree to the TregexPattern.
- *
- * <p><h3>Segmenting patterns</h3>
- *
- * <p>The ":" operator allows you to segment a pattern into two pieces.  This can simplify your pattern writing.  For example,
- * the pattern
- *
- * <blockquote>
- *   S : NP
- * </blockquote>
- *
- * matches only those S nodes in trees that also have an NP node.
- *
- * <p><h3>Naming nodes</h3>
- *
- * <p> Nodes can be given names (a.k.a. handles) using '='.  A named node will be stored in a
- * map that maps names to nodes so that if a match is found, the node
- * corresponding to the named node can be extracted from the map.  For
- * example <code> (NP < NNP=name) </code> will match an NP dominating an NNP
- * and after a match is found, the map can be queried with the
- * name to retreived the matched node using {@link TregexMatcher#getNode(String o)}
- * with (String) argument "name" (<it>not</it> "=name").
- * Note that you are not allowed to name a node that is under the scope of a negation operator (the semantics would
- * be unclear, since you can't store a node that never gets matched to).
- * Trying to do so will cause a {@link ParseException} to be thrown. Named nodes <it>can be put within the scope of an optionality operator</it>.
- *
- * <p> Named nodes that refer back to previous named nodes need not have a node
- * description -- this is known as "backreferencing".  In this case, the expression
- * will match only when all instances of the same name get matched to the same tree node.
- * For example: the pattern
- *
- * <blockquote>
- * <code> (@NP <, (@NP $+ (/,/ $+ (@NP $+ /,/=comma))) <- =comma) </code>
- * </blockquote>
- *
- * matches only an NP dominating exactly the four node sequence
- * <code>NP , NP ,</code> -- the mother NP cannot have any other
- * daughters. Multiple backreferences are allowed.  If the node w/ no
- * node description does not refer to a previously named node, there
- * will be no error, the expression simply will not match anything.
- *
- * <p> Another way to refer to previously named nodes is with the "link" symbol: '~'.
- * A link is like a backreference, except that instead of having to be <i>equal to</i> the
- * referred node, the current node only has to match the label of the referred to node.
- * A link cannot have a node description, i.e. the '~' symbol must immediately follow a
- * relation symbol.
- *
- * <p><h3>Customizing headship and basic categories</h3>
- *
- * <p> The HeadFinder used to determine heads for the head relations <code>&lt;#</code>, <code>&gt;#</code>, <code>&lt;&lt;#</code>, and <code>&gt;&gt;#</code>, and also
- * the Function mapping from labels to Basic Category tags can be
- * chosen by using a {@link TregexPatternCompiler}.
- *
- * <p><h3>Variable Groups</h3>
- *
- * <p> If you write a node description using a regular expression, you can assign its matching groups to variable names.
- * If more than one node has a group assigned to the same variable name, then matching will only occur when all such groups
- * capture the same string.  This is useful for enforcing coindexation constraints.  The syntax is
- *
- * <blockquote>
- * <code> / &lt;regex-stuff&gt; /#&lt;group-number&gt;%&lt;variable-name&gt;</code>
- * </blockquote>
- *
- * For example, the pattern (designed for Penn Treebank trees)
- *
- * <blockquote>
- * <code> @SBAR < /^WH.*-([0-9]+)$/#1%index << (__=empty < (/^-NONE-/ < /^\*T\*-([0-9]+)$/#1%index)) </code>
- * </blockquote>
- *
- * will match only such that the WH- node under the SBAR is coindexed with the trace node that gets the name <code>empty</code>.
- *
- * <p><h3>Getting Started</h3>
- *
- * Suppose we want to find all examples of subtrees where the label of
- * the root of the subtree starts with MW.  For example, we want any
- * subtree whose root is labeled MWV, MWN, etc.
- * <br>
- * The first thing to do is figure out what pattern to use.  Since we
- * want to match anything starting with MW, we use the pattern
- * <code>/^MW/</code>.
- * <br>
- * We then create a pattern, find matches in a given tree, and process
- * those matches as follows:
- * <blockquote>
- * <code>
- *   // Create a reusable pattern object <br>
- *   TregexPattern patternMW = TregexPattern.compile("/^MW/"); <br>
- *   // Run the pattern on one particular tree <br>
- *   TregexMatcher matcher = patternMW.matcher(tree); <br>
- *   // Iterate over all of the subtrees that matched <br>
- *   while (matcher.findNextMatchingNode()) { <br>
- *   &nbsp;&nbsp;Tree match = matcher.getMatch(); <br>
- *   &nbsp;&nbsp;// do what we want to with the subtree <br>
- *   }
- * </code>
- * </blockquote>
- *
- * <p><h3>Current known bugs/shortcomings:</h3>
- *
- * <ul>
- *
- * <li> Tregex does not support disjunctions at the root level.  For
- * example, the pattern <code>A | B</code> will not work.
- *
- * <li> If the root of a pattern matches, Tregex will not continue
- * searching for more matches with the same root.  For example,
- * although the pattern <code>foo &lt;&lt; bar=a</code> might be
- * satisfied by multiple <code>bar</code> nodes, only one match will
- * be found per matching <code>foo</code> node.
- *
- * </ul>
- *
- * @author Galen Andrew
- * @author Roger Levy (rog@csli.stanford.edu)
- * @author Anna Rafferty (filter mode)
- */
-public abstract class TregexPattern implements Serializable {
-
-  @SuppressWarnings({"NonSerializableFieldInSerializableClass"})
-  Function<String, String> currentBasicCatFunction;
-
-  void setBasicCatFunction(Function<String, String> f) {
-    currentBasicCatFunction = f;
-  }
-
-  private boolean neg = false;
-  private boolean opt = false;
-  private String patternString;
-
-
-  void negate() {
-    neg = true;
-    if (opt) {
-      throw new RuntimeException("Node cannot be both negated and optional.");
-    }
-  }
-
-  void makeOptional() {
-    opt = true;
-    if (neg) {
-      throw new RuntimeException("Node cannot be both negated and optional.");
-    }
-  }
-
-  private void prettyPrint(PrintWriter pw, int indent) {
-    for (int i = 0; i < indent; i++) {
-      pw.print("   ");
-    }
-    if (neg) {
-      pw.print('!');
-    }
-    if (opt) {
-      pw.print('?');
-    }
-    pw.println(localString());
-    for (TregexPattern child : getChildren()) {
-      child.prettyPrint(pw, indent + 1);
-    }
-  }
-
-  // package private constructor
-  TregexPattern() {
-  }
-
-  abstract List<TregexPattern> getChildren();
-
-  abstract String localString();
-
-  boolean isNegated() {
-    return neg;
-  }
-
-  boolean isOptional() {
-    return opt;
-  }
-
-  abstract boolean getChangesVariables();
-
-  abstract TregexMatcher matcher(Tree root, Tree tree,
-                                 Map<String, Tree> namesToNodes,
-                                 VariableStrings variableStrings);
-
-  /**
-   * Get a {@link TregexMatcher} for this pattern on this tree.
-   *
-   * @param t a tree to match on
-   * @return a TregexMatcher
-   */
-  public TregexMatcher matcher(Tree t) {
-    // We wrap the tree in a ParentalTreeWrapper so that parent() is
-    // more efficient; calling parent() on trees was a major
-    // efficiency bottleneck.  Later, in either the getMatch() or
-    // getNode calls, we undo this so the caller gets parts of the
-    // original tree back.
-    ParentalTreeWrapper parentTree = new ParentalTreeWrapper(t);
-    return matcher(parentTree, parentTree,
-                   new HashMap<String, Tree>(), new VariableStrings());
-  }
-
-  /**
-   * Creates a pattern from the given string using the default HeadFinder and
-   * BasicCategoryFunction.  If you want to use a different HeadFinder or
-   * BasicCategoryFunction, use a {@link TregexPatternCompiler} object.
-   *
-   * @param tregex the pattern string
-   * @return a TregexPattern for the string.
-   * @throws ParseException if the string does not parse
-   */
-  public static TregexPattern compile(String tregex) throws ParseException {
-    return TregexPatternCompiler.defaultCompiler.compile(tregex);
-  }
-
-  /**
-   * Creates a pattern from the given string using the default HeadFinder and
-   * BasicCategoryFunction.  If you want to use a different HeadFinder or
-   * BasicCategoryFunction, use a {@link TregexPatternCompiler} object.
-   * Rather than throwing an exception when the string does not parse,
-   * simply returns null
-   *
-   * @param tregex the pattern string
-   * @param verbose whether to log errors when the string doesn't parse
-   * @return a TregexPattern for the string, or null if the string does not parse.
-   */
-  public static TregexPattern safeCompile(String tregex, boolean verbose) {
-    TregexPattern result = null;
-    try {
-      result = TregexPatternCompiler.defaultCompiler.compile(tregex);
-    } catch (ParseException ex) {
-      if (verbose) {
-        System.err.println("Could not parse " + tregex + ":");
-        ex.printStackTrace();
-      }
-    }
-    return result;
-  }
-
-  public String pattern() {
-    return patternString;
-  }
-
-  public void setPatternString(String patternString) {
-    this.patternString = patternString;
-  }
-
-  /**
-   * @return A single-line string representation of the pattern
-   */
-  @Override
-  public abstract String toString();
-
-  /**
-   * Print a multi-line representation
-   * of the pattern illustrating it's syntax.
-   */
-  public void prettyPrint(PrintWriter pw) {
-    prettyPrint(pw, 0);
-  }
-
-  /**
-   * Print a multi-line representation
-   * of the pattern illustrating it's syntax.
-   */
-  public void prettyPrint(PrintStream ps) {
-    prettyPrint(new PrintWriter(new OutputStreamWriter(ps), true));
-  }
-
-  /**
-   * Print a multi-line representation of the pattern illustrating
-   * it's syntax to System.out.
-   */
-  public void prettyPrint() {
-    prettyPrint(System.out);
-  }
-
-
-  private static final Pattern codePattern = Pattern.compile("([0-9]+):([0-9]+)");
-
-  private static void extractSubtrees(List<String> codeStrings, String treeFile) {
-    List<Pair<Integer,Integer>> codes = new ArrayList<Pair<Integer,Integer>>();
-    for(String s : codeStrings) {
-      Matcher m = codePattern.matcher(s);
-      if(m.matches())
-        codes.add(new Pair<Integer,Integer>(Integer.parseInt(m.group(1)),Integer.parseInt(m.group(2))));
-      else
-        throw new RuntimeException("Error: illegal node code " + s);
-    }
-    TreeReaderFactory trf = new TRegexTreeReaderFactory();
-    MemoryTreebank treebank = new MemoryTreebank(trf);
-    treebank.loadPath(treeFile,null, true);
-    for (Pair<Integer,Integer> code : codes) {
-      Tree t = treebank.get(code.first()-1);
-      t.getNodeNumber(code.second()).pennPrint();
-    }
-  }
-
-  /**
-   * Prints out all matches of a tree pattern on each tree in the path.
-   * Usage: <br><br><code>
-   * java edu.stanford.nlp.trees.tregex.TregexPattern [[-TCwfosnu] [-filter] [-h &lt;node-name&gt;]]* pattern
-   *  filepath   </code>
-   *
-   * <p>
-   * Arguments:<br>
-   * <ul><li><code>pattern</code>: the tree
-   * pattern which optionally names some set of nodes (i.e., gives it the "handle") <code>=name</code> (for some arbitrary
-   * string "name")
-   * <li> <code>filepath</code>: the path to files with trees. If this is a directory, there will be recursive descent and the pattern will be run on all files beneath the specified directory.
-   * </ul><p>
-   * Options:<br>
-   * <li> <code>-C</code> suppresses printing of matches, so only the
-   * number of matches is printed.
-   * <li> <code>-w</code> causes the whole of a tree that matches to be printed.
-   * <li> <code>-f</code> causes the filename to be printed.
-   * <li> <code>-i &lt;filename&gt;</code> causes the pattern to be matched to be read from <code>&lt;filename&gt;</code> rather than the command line.  Don't specify a pattern when this option is used.
-   * <li> <code>-o</code> Specifies that each tree node can be reported only once as the root of a match (by default a node will
-   * be printed once for every <em>way</em> the pattern matches).
-   * <li> <code>-s</code> causes trees to be printed all on one line (by default they are pretty printed).
-   * <li> <code>-n</code> causes the number of the tree in which the match was found to be
-   * printed before every match.
-   * <li> <code>-u</code> causes only the label of each matching node to be printed, not complete subtrees.
-   * <li> <code>-t</code> causes only the yield (terminal words) of the selected node to be printed (or the yield of the whole tree, if the <code>-w</code> option is used).
-   * <li> <code>-encoding &lt;charset_encoding&gt;</code> option allows specification of character encoding of trees..
-   * <li> <code>-h &lt;node-handle&gt;</code> If a <code>-h</code> option is given, the root tree node will not be printed.  Instead,
-   * for each <code>node-handle</code> specified, the node matched and given that handle will be printed.  Multiple nodes can be printed by using the
-   * <code>-h</code> option multiple times on a single command line.
-   * <li> <code>-hf &lt;headfinder-class-name&gt;</code> use the specified {@link HeadFinder} class to determine headship relations.
-   * <li> <code>-hfArg &lt;string&gt;</code> pass a string argument in to the {@link HeadFinder} class's constructor.  <code>-hfArg</code> can be used multiple times to pass in multiple arguments.
-   * <li> <code>-trf &lt;TreeReaderFactory-class-name&gt;</code> use the specified {@link TreeReaderFactory} class to read trees from files.
-   * <li> <code>-v</code> print every tree that contains no matches of the specified pattern, but print no matches to the pattern.
-   *
-   * <li> <code>-x</code> Instead of the matched subtree, print the matched subtree's identifying number as defined in <tt>tgrep2</tt>:a
-   * unique identifier for the subtree and is in the form s:n, where s is an integer specifying
-   * the sentence number in the corpus (starting with 1), and n is an integer giving the order
-   * in which the node is encountered in a depth-first search starting with 1 at top node in the
-   * sentence tree.
-   *
-   * <li> <code>-extract &lt;code&gt; &lt;tree-file&gt;</code> extracts the subtree s:n specified by <tt>code</tt> from the specified <tt>tree-file</tt>.  Overrides all other behavior of tregex.  Can't specify multiple encodings etc. yet.
-   * <li> <code>-extractFile &lt;code-file&gt; &lt;tree-file&gt;</code> extracts every subtree specified by the subtree codes in <tt>code-file</tt>, which must appear exactly one per line, from the specified <tt>tree-file</tt>.  Overrides all other behavior of tregex. Can't specify multiple encodings etc. yet.
-   * <li> <code>-filter</code> causes this to act as a filter, reading tree input from stdin
-   * <li> <code>-T</code> causes all trees to be printed as processed (for debugging purposes).  Otherwise only matching nodes are printed.
-   *
-   * </ul>
-   */
-  public static void main(String[] args) throws IOException {
-    Timing.startTime();
-
-    StringBuilder treePrintFormats = new StringBuilder();
-    String printNonMatchingTreesOption = "-v";
-    String subtreeCodeOption = "-x";
-    String extractSubtreesOption = "-extract";
-    String extractSubtreesFileOption = "-extractFile";
-    String inputFileOption = "-i";
-    String headFinderOption = "-hf";
-    String headFinderArgOption = "-hfArg";
-    String trfOption = "-trf";
-    String headFinderClassName = null;
-    String[] headFinderArgs = StringUtils.EMPTY_STRING_ARRAY;
-    String treeReaderFactoryClassName = null;
-    String printHandleOption = "-h";
-    String markHandleOption = "-k";
-    String encodingOption = "-encoding";
-    String encoding = "UTF-8";
-    Map<String,Integer> flagMap = new HashMap<String,Integer>();
-    flagMap.put(extractSubtreesOption,2);
-    flagMap.put(extractSubtreesFileOption,2);
-    flagMap.put(subtreeCodeOption,0);
-    flagMap.put(printNonMatchingTreesOption,0);
-    flagMap.put(encodingOption,1);
-    flagMap.put(inputFileOption,1);
-    flagMap.put(printHandleOption,1);
-    flagMap.put(markHandleOption,2);
-    flagMap.put(headFinderOption,1);
-    flagMap.put(headFinderArgOption,1);
-    flagMap.put(trfOption,1);
-    Map<String, String[]> argsMap = StringUtils.argsToMap(args, flagMap);
-    args = argsMap.get(null);
-
-    if (argsMap.containsKey(encodingOption)) {
-      encoding = argsMap.get(encodingOption)[0];
-      System.err.println("Encoding set to " + encoding);
-    }
-    PrintWriter errPW = new PrintWriter(new OutputStreamWriter(System.err, encoding), true);
-
-    if (argsMap.containsKey(extractSubtreesOption)) {
-      List<String> subTreeStrings = Collections.singletonList(argsMap.get(extractSubtreesOption)[0]);
-      extractSubtrees(subTreeStrings,argsMap.get(extractSubtreesOption)[1]);
-      return;
-    }
-    if (argsMap.containsKey(extractSubtreesFileOption)) {
-      List<String> subTreeStrings = Arrays.asList(IOUtils.slurpFile(argsMap.get(extractSubtreesFileOption)[0]).split("\n|\r|\n\r"));
-      extractSubtrees(subTreeStrings,argsMap.get(extractSubtreesFileOption)[0]);
-      return;
-    }
-
-    if (args.length < 1) {
-      errPW.println("Usage: java edu.stanford.nlp.trees.tregex.TregexPattern [-T] [-C] [-w] [-f] [-o] [-n] [-s] [-filter]  [-hf class] [-trf class] [-h handle]* pattern [filepath]");
-      return;
-    }
-    String matchString = args[0];
-
-    if (argsMap.containsKey(headFinderOption)) {
-      headFinderClassName = argsMap.get(headFinderOption)[0];
-      errPW.println("Using head finder " + headFinderClassName + "...");
-    }
-    if(argsMap.containsKey(headFinderArgOption)) {
-      headFinderArgs = argsMap.get(headFinderArgOption);
-    }
-    if (argsMap.containsKey(trfOption)) {
-      treeReaderFactoryClassName = argsMap.get(trfOption)[0];
-      errPW.println("Using tree reader factory " + treeReaderFactoryClassName + "...");
-    }
-    if (argsMap.containsKey("-T")) {
-      TRegexTreeVisitor.printTree = true;
-    }
-    if (argsMap.containsKey(inputFileOption)) {
-      String inputFile = argsMap.get(inputFileOption)[0];
-      matchString = IOUtils.slurpFile(inputFile, encoding);
-      String[] newArgs = new String[args.length+1];
-      System.arraycopy(args,0,newArgs,1,args.length);
-      args = newArgs;
-    }
-    if (argsMap.containsKey("-C")) {
-      TRegexTreeVisitor.printMatches = false;
-      TRegexTreeVisitor.printNumMatchesToStdOut = true ;
-
-    }
-    if (argsMap.containsKey("-v")) {
-      TRegexTreeVisitor.printNonMatchingTrees = true;
-    }
-    if (argsMap.containsKey("-x")) {
-      TRegexTreeVisitor.printSubtreeCode = true;
-      TRegexTreeVisitor.printMatches = false;
-    }
-    if (argsMap.containsKey("-w")) {
-      TRegexTreeVisitor.printWholeTree = true;
-    }
-    if (argsMap.containsKey("-f")) {
-      TRegexTreeVisitor.printFilename = true;
-    }
-    if(argsMap.containsKey("-o"))
-      TRegexTreeVisitor.oneMatchPerRootNode = true;
-    if(argsMap.containsKey("-n"))
-      TRegexTreeVisitor.reportTreeNumbers = true;
-    if (argsMap.containsKey("-u")) {
-      treePrintFormats.append(TreePrint.rootLabelOnlyFormat).append(',');
-    } else if (argsMap.containsKey("-s")) { // display short form
-      treePrintFormats.append("oneline,");
-    } else if (argsMap.containsKey("-t")) {
-      treePrintFormats.append("words,");
-    } else {
-      treePrintFormats.append("penn,");
-    }
-
-    HeadFinder hf = new CollinsHeadFinder();
-    if(headFinderClassName != null) {
-      Class[] hfArgClasses = new Class[headFinderArgs.length];
-      for(int i = 0; i < hfArgClasses.length; i++)   hfArgClasses[i] = String.class;
-      try {
-        hf = (HeadFinder) Class.forName(headFinderClassName).getConstructor(hfArgClasses).newInstance((Object[]) headFinderArgs); // cast to Object[] necessary to avoid varargs-related warning.
-      }
-      catch(Exception e) { throw new RuntimeException("Error occurred while constructing HeadFinder: " + e); }
-    }
-
-    TRegexTreeVisitor.tp = new TreePrint(treePrintFormats.toString(), new PennTreebankLanguagePack());
-
-    try {
-      //TreePattern p = TreePattern.compile("/^S/ > S=dt $++ '' $-- ``");
-      TregexPatternCompiler tpc = new TregexPatternCompiler(hf);
-      TregexPattern p = tpc.compile(matchString);
-      errPW.println("Pattern string:\n" + p.pattern());
-      errPW.println("Parsed representation:");
-      p.prettyPrint(errPW);
-
-      String[] handles = argsMap.get(printHandleOption);
-      if (argsMap.containsKey("-filter")) {
-        TreeReaderFactory trf = getTreeReaderFactory(treeReaderFactoryClassName);
-        treebank = new MemoryTreebank(trf, encoding);//has to be in memory since we're not storing it on disk
-        //read from stdin
-        Reader reader = new BufferedReader(new InputStreamReader(System.in, encoding));
-        ((MemoryTreebank) treebank).load(reader);
-        reader.close();
-      } else if (args.length == 1) {
-        errPW.println("using default tree");
-        TreeReader r = new PennTreeReader(new StringReader("(VP (VP (VBZ Try) (NP (NP (DT this) (NN wine)) (CC and) (NP (DT these) (NNS snails)))) (PUNCT .))"), new LabeledScoredTreeFactory(new StringLabelFactory()));
-        Tree t = r.readTree();
-        treebank = new MemoryTreebank();
-        treebank.add(t);
-      } else {
-        int last = args.length - 1;
-        errPW.println("Reading trees from file(s) " + args[last]);
-        TreeReaderFactory trf = getTreeReaderFactory(treeReaderFactoryClassName);
-        treebank = new DiskTreebank(trf, encoding);
-        treebank.loadPath(args[last], null, true);
-      }
-      TRegexTreeVisitor vis = new TRegexTreeVisitor(p, handles, encoding);
-
-      treebank.apply(vis);
-      Timing.endTime();
-      if (TRegexTreeVisitor.printMatches) {
-        errPW.println("There were " + vis.numMatches() + " matches in total.");
-      }
-      if (TRegexTreeVisitor.printNumMatchesToStdOut) {
-        System.out.println(vis.numMatches());
-      }
-    } catch (IOException e) {
-      e.printStackTrace();
-    } catch (ParseException e) {
-      errPW.println("Error parsing expression: " + args[0]);
-      errPW.println("Parse exception: " + e.toString());
-    }
-  }
-
-  private static TreeReaderFactory getTreeReaderFactory(String treeReaderFactoryClassName) {
-    TreeReaderFactory trf = new TRegexTreeReaderFactory();
-    if (treeReaderFactoryClassName != null) {
-      try {
-        trf = (TreeReaderFactory) Class.forName(treeReaderFactoryClassName).newInstance();
-      } catch(Exception e) {
-        throw new RuntimeException("Error occurred while constructing TreeReaderFactory: " + e);
-      }
-    }
-    return trf;
-  }
-
-  private static Treebank treebank; // used by main method, must be accessible
-
-  static class TRegexTreeVisitor implements TreeVisitor {
-
-    private static boolean printNumMatchesToStdOut = false;
-    static boolean printNonMatchingTrees = false;
-    static boolean printSubtreeCode = false;
-    static boolean printTree = false;
-    static boolean printWholeTree = false;
-    static boolean printMatches = true;
-    static boolean printFilename = false;
-    static boolean oneMatchPerRootNode = false;
-    static boolean reportTreeNumbers = false;
-
-    static TreePrint tp;
-    PrintWriter pw;
-
-    int treeNumber = 0;
-
-    TregexPattern p;
-    String[] handles;
-    int numMatches;
-
-    TRegexTreeVisitor(TregexPattern p, String[] handles, String encoding) {
-      this.p = p;
-      this.handles = handles;
-      try {
-        pw = new PrintWriter(new OutputStreamWriter(System.out, encoding),true);
-      }
-      catch (UnsupportedEncodingException e) {
-        System.err.println("Error -- encoding " + encoding + " is unsupported.  Using ASCII print writer instead.");
-        pw = new PrintWriter(System.out,true);
-      }
-      tp.setPrintWriter(pw);
-    }
-
-    public void visitTree(Tree t) {
-      treeNumber++;
-      if (printTree) {
-        pw.print(treeNumber+":");
-        pw.println("Next tree read:");
-        tp.printTree(t,pw);
-      }
-      TregexMatcher match = p.matcher(t);
-      if(printNonMatchingTrees) {
-        if(match.find())
-          numMatches++;
-        else
-          tp.printTree(t,pw);
-        return;
-      }
-      Tree lastMatchingRootNode = null;
-      while (match.find()) {
-        if(oneMatchPerRootNode) {
-          if(lastMatchingRootNode == match.getMatch())
-            continue;
-          else
-            lastMatchingRootNode = match.getMatch();
-        }
-        numMatches++;
-        if (printFilename && treebank instanceof DiskTreebank) {
-          DiskTreebank dtb = (DiskTreebank) treebank;
-          pw.print("# ");
-          pw.println(dtb.getCurrentFilename());
-        }
-        if(printSubtreeCode) {
-          pw.println(treeNumber + ":" + match.getMatch().nodeNumber(t));
-        }
-        if (printMatches) {
-          if(reportTreeNumbers) {
-            pw.print(treeNumber + ": ");
-          }
-          if (printTree) {
-            pw.println("Found a full match:");
-          }
-          if (printWholeTree) {
-            tp.printTree(t,pw);
-          } else if (handles != null) {
-            if (printTree) {
-              pw.println("Here's the node you were interested in:");
-            }
-            for (String handle : handles) {
-              Tree labeledNode = match.getNode(handle);
-              if (labeledNode == null) {
-                System.err.println("Error!!  There is no matched node \"" + handle + "\"!  Did you specify such a label in the pattern?");
-              } else {
-                tp.printTree(labeledNode,pw);
-              }
-            }
-          } else {
-            tp.printTree(match.getMatch(),pw);
-          }
-          // pw.println();  // TreePrint already puts a blank line in
-        } // end if (printMatches)
-      } // end while match.find()
-    } // end visitTree
-
-    public int numMatches() {
-      return numMatches;
-    }
-
-  } // end class TRegexTreeVisitor
-
-  private static final long serialVersionUID = 5060298043763944913L;
-
-
-  public static class TRegexTreeReaderFactory implements TreeReaderFactory {
-
-    private TreeNormalizer tn;
-
-    public TRegexTreeReaderFactory() {
-      this(new TreeNormalizer() {
-        /**
-         *
-         */
-        private static final long serialVersionUID = -2998972954089638189L;
-
-        @Override
-        public String normalizeNonterminal(String str) {
-          if (str == null) {
-            return "";
-          } else {
-            return str;
-          }
-        }
-      });
-    }
-
-    public TRegexTreeReaderFactory(TreeNormalizer tn) {
-      this.tn = tn;
-    }
-
-    public TreeReader newTreeReader(Reader in) {
-      return new PennTreeReader(new BufferedReader(in), new LabeledScoredTreeFactory(), tn);
-    }
-
-  } // end class TRegexTreeReaderFactory
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexPatternCompiler.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexPatternCompiler.java
deleted file mode 100644
index 2589795..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/TregexPatternCompiler.java
+++ /dev/null
@@ -1,119 +0,0 @@
-// TregexPatternCompiler
-// Copyright (c) 2004-2007 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    Support/Questions: parser-user@lists.stanford.edu
-//    Licensing: parser-support@lists.stanford.edu
-//    http://www-nlp.stanford.edu/software/tregex.shtml
-
-package edu.stanford.nlp.trees.tregex;
-
-import java.io.StringReader;
-
-import edu.stanford.nlp.util.Function;
-import edu.stanford.nlp.trees.CollinsHeadFinder;
-import edu.stanford.nlp.trees.HeadFinder;
-import edu.stanford.nlp.trees.PennTreebankLanguagePack;
-
-/**
- * A class for compiling TregexPatterns with specific HeadFinders and or
- * basicCategoryFunctions.
- *
- * @author Galen Andrew
- */
-public class TregexPatternCompiler {
-
-  static final Function<String, String> DEFAULT_BASIC_CAT_FUNCTION = 
-    new PennTreebankLanguagePack().getBasicCategoryFunction();
-
-  static final HeadFinder DEFAULT_HEAD_FINDER = new CollinsHeadFinder();
-
-  private final Function<String,String> basicCatFunction;
-  private final HeadFinder headFinder;
-
-  public final static TregexPatternCompiler defaultCompiler = 
-    new TregexPatternCompiler();
-
-  public TregexPatternCompiler() {
-    this(DEFAULT_HEAD_FINDER, DEFAULT_BASIC_CAT_FUNCTION);
-  }
-
-  /**
-   * A compiler that uses this basicCatFunction and the default HeadFinder.
-   *
-   * @param basicCatFunction the function mapping Strings to Strings
-   */
-  public TregexPatternCompiler(Function<String,String> basicCatFunction) {
-    this(DEFAULT_HEAD_FINDER, basicCatFunction);
-  }
-
-  /**
-   * A compiler that uses this HeadFinder and the default basicCategoryFunction
-   *
-   * @param headFinder the HeadFinder
-   */
-  public TregexPatternCompiler(HeadFinder headFinder) {
-    this(headFinder, DEFAULT_BASIC_CAT_FUNCTION);
-  }
-
-  /**
-   * A compiler that uses this HeadFinder and this basicCategoryFunction
-   *
-   * @param headFinder       the HeadFinder
-   * @param basicCatFunction The function mapping Strings to Strings
-   */
-  public TregexPatternCompiler(HeadFinder headFinder, 
-                               Function<String,String> basicCatFunction) {
-    this.headFinder = headFinder;
-    this.basicCatFunction = basicCatFunction;
-  }
-
-  /**
-   * Create a TregexPattern from this tregex string using the headFinder and
-   * basicCat function this TregexPatternCompiler was created with.
-   *
-   * <i>Implementation note:</i> If there is an invalid token in the Tregex
-   * parser, JavaCC will throw a TokenMgrError.  This is a class
-   * that extends Error, not Exception (OMG! - bad!), and so rather than
-   * requiring clients to catch it, we wrap it in a ParseException.
-   * (The original Error's are thrown in TregexParserTokenManager.)
-   *
-   * @param tregex The pattern to parse
-   * @return A new TregexPattern object based on this string
-   * @throws ParseException If the Tregex expression is syntactically invalid
-   */
-  public TregexPattern compile(String tregex) throws ParseException {
-    TregexPattern pattern;
-    try {
-      TregexParser parser = new TregexParser(new StringReader(tregex + "\n"), 
-                                             basicCatFunction, headFinder);
-      pattern = parser.Root();
-    } catch (TokenMgrError tme) {
-      throw new ParseException(tme.toString());
-    }
-    pattern.setBasicCatFunction(basicCatFunction);
-    pattern.setPatternString(tregex);
-    return pattern;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/VariableStrings.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/VariableStrings.java
deleted file mode 100644
index 3d3764e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/VariableStrings.java
+++ /dev/null
@@ -1,66 +0,0 @@
-package edu.stanford.nlp.trees.tregex;
-
-import edu.stanford.nlp.stats.IntCounter;
-
-import java.util.Map;
-import java.util.HashMap;
-
-/** A class that takes care of the stuff necessary for variable strings.
- *
- *  @author Roger Levy (rog@nlp.stanford.edu)
- */
-class VariableStrings {
-
-  private Map<String, String> varsToStrings;
-  private IntCounter<String> numVarsSet;
-
-  public VariableStrings() {
-    varsToStrings = new HashMap<String,String>();
-    numVarsSet = new IntCounter<String>();
-  }
-
-  public boolean isSet(String o) {
-    return numVarsSet.getCount(o) >= 1;
-  }
-
-  public void setVar(String var, String string) {
-    String oldString = varsToStrings.put(var,string);
-    if(oldString != null && ! oldString.equals(string))
-      throw new RuntimeException("Error -- can't setVar to a different string -- old: " + oldString + " new: " + string);
-    numVarsSet.incrementCount(var);
-  }
-
-  public void unsetVar(String var) {
-    if(numVarsSet.getCount(var) > 0)
-      numVarsSet.decrementCount(var);
-    if(numVarsSet.getCount(var)==0)
-      varsToStrings.put(var,null);
-  }
-
-  public String getString(String var) {
-    return varsToStrings.get(var);
-  }
-
-  @Override
-  public String toString() {
-    StringBuilder s = new StringBuilder();
-    s.append("{");
-    boolean appended = false;
-    for (String key : varsToStrings.keySet()) {
-      if (appended) {
-        s.append(",");
-      } else {
-        appended = true;
-      }
-      s.append(key);
-      s.append("=(");
-      s.append(varsToStrings.get(key));
-      s.append(":");
-      s.append(numVarsSet.getCount(key));
-      s.append(")");
-    }
-    s.append("}");
-    return s.toString();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/AdjoinNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/AdjoinNode.java
deleted file mode 100644
index 14a189f..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/AdjoinNode.java
+++ /dev/null
@@ -1,49 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-
-/** Adjoin in a tree (like in TAG).
- *
- *  @author Roger Levy (rog@nlp.stanford.edu)
- */
-class AdjoinNode extends TsurgeonPattern {
-
-  private final AuxiliaryTree adjunctionTree;
-
-  public AdjoinNode(AuxiliaryTree t, TsurgeonPattern p) {
-    super("adjoin", new TsurgeonPattern[] {p});
-    if (t == null || p == null) {
-      throw new IllegalArgumentException("AdjoinNode: illegal null argument, t=" + t + ", p=" + p);
-    }
-    adjunctionTree = t;
-  }
-
-  protected AuxiliaryTree adjunctionTree() {
-    return adjunctionTree;
-  }
-
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher m) {
-    // find match and get its parent
-    Tree targetNode = children[0].evaluate(t,m);
-    Tree parent = targetNode.parent(t);
-    // put children underneath target in foot of auxilary tree
-    AuxiliaryTree ft = adjunctionTree.copy(this);
-    ft.foot.setChildren(targetNode.getChildrenAsList());
-    // replace match with root of auxiliary tree
-    if (parent==null) {
-      return ft.tree;
-    } else {
-      int i = parent.indexOf(targetNode);
-      parent.setChild(i,ft.tree);
-      return t;
-    }
-  }
-
-  @Override
-  public String toString() {
-    return super.toString() + "<-" + adjunctionTree.toString();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/AdjoinToFootNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/AdjoinToFootNode.java
deleted file mode 100644
index 8a83a1c..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/AdjoinToFootNode.java
+++ /dev/null
@@ -1,40 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-
-/** Adjoin in a tree (like in TAG), but retain the target of adjunction as the foot of the auxiliary tree.
- * @author Roger Levy (rog@nlp.stanford.edu)
- */
-class AdjoinToFootNode extends AdjoinNode {
-
-  public AdjoinToFootNode(AuxiliaryTree t, TsurgeonPattern p) {
-    super(t, p);
-  }
-
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher m) {
-    // find match and get its parent
-    Tree targetNode = children[0].evaluate(t,m);
-    Tree parent = targetNode.parent(t);
-    // substitute original node for foot of auxiliary tree.  Foot node is ignored
-    AuxiliaryTree ft = adjunctionTree().copy(this);
-    // System.err.println("ft=" + ft + "; ft.foot=" + ft.foot + "; ft.tree=" + ft.tree);
-    Tree parentOfFoot = ft.foot.parent(ft.tree);
-    if (parentOfFoot == null) {
-      System.err.println("Warning: adjoin to foot for depth-1 auxiliary tree has no effect.");
-      return t;
-    }
-    int i = parentOfFoot.indexOf(ft.foot);
-    if (parent==null) {
-      parentOfFoot.setChild(i,targetNode);
-      return ft.tree;
-    } else {
-      int j = parent.indexOf(targetNode);
-      parent.setChild(j,ft.tree);
-      parentOfFoot.setChild(i,targetNode);
-      return t;
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/AdjoinToHeadNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/AdjoinToHeadNode.java
deleted file mode 100644
index 3ad4878..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/AdjoinToHeadNode.java
+++ /dev/null
@@ -1,27 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-
-/** Adjoin in a tree (like in TAG), but retain the target of adjunction as the root of the auxiliary tree.
- * @author Roger Levy (rog@nlp.stanford.edu)
- */
-class AdjoinToHeadNode extends AdjoinNode {
-
-  public AdjoinToHeadNode(AuxiliaryTree t, TsurgeonPattern p) {
-    super(t, p);
-  }
-
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher m) {
-    // find match
-    Tree targetNode = children[0].evaluate(t,m);
-    // put children underneath target in foot of auxilary tree
-    AuxiliaryTree ft = adjunctionTree().copy(this);
-    ft.foot.setChildren(targetNode.getChildrenAsList());
-    // put children of auxiliary tree under target.  root of auxiliary tree is ignored.  root of original is maintained.
-    targetNode.setChildren(ft.tree.getChildrenAsList());
-    return t;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/AuxiliaryTree.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/AuxiliaryTree.java
deleted file mode 100644
index 5d37286..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/AuxiliaryTree.java
+++ /dev/null
@@ -1,176 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.util.Pair;
-
-import java.util.*;
-import java.util.regex.Pattern;
-import java.util.regex.Matcher;
-
-/**
- * @author Roger Levy (rog@nlp.stanford.edu)
- */
-class AuxiliaryTree {
-
-  private final String originalTreeString;
-  final Tree tree;
-  final Tree foot;
-  private final IdentityHashMap<Tree,String> nodesToNames; // no one else should be able to get this one.
-  private final Map<String,Tree> namesToNodes; // this one has a getter.
-
-
-  public AuxiliaryTree(Tree tree, boolean mustHaveFoot) {
-    originalTreeString = tree.toString();
-    this.tree = tree;
-    this.foot = findFootNode(tree);
-    if (foot == null && mustHaveFoot) {
-      throw new RuntimeException("Error -- no foot node found for " + originalTreeString);
-    }
-    namesToNodes = new HashMap<String,Tree>();
-    nodesToNames = new IdentityHashMap<Tree,String>();
-    initializeNamesNodesMaps(tree);
-  }
-
-  private AuxiliaryTree(Tree tree, Tree foot, Map<String, Tree> namesToNodes, String originalTreeString) {
-    this.originalTreeString = originalTreeString;
-    this.tree = tree;
-    this.foot = foot;
-    this.namesToNodes = namesToNodes;
-    nodesToNames = null;
-  }
-
-  public Map<String, Tree> namesToNodes() {
-    return namesToNodes;
-  }
-
-  @Override
-  public String toString() {
-    return originalTreeString;
-  }
-
-  /**
-   * Copies the Auxiliary tree.  Also, puts the new names->nodes map in the TsurgeonPattern that called copy.
-   */
-  public AuxiliaryTree copy(TsurgeonPattern p) {
-    Map<String,Tree> newNamesToNodes = new HashMap<String,Tree>();
-    Pair<Tree,Tree> result = copyHelper(tree,newNamesToNodes);
-    //if(! result.first().dominates(result.second()))
-      //System.err.println("Error -- aux tree copy doesn't dominate foot copy.");
-    p.root.newNodeNames.putAll(newNamesToNodes);
-    return new AuxiliaryTree(result.first(), result.second(), newNamesToNodes, originalTreeString);
-  }
-
-  // returns Pair<node,foot>
-  private Pair<Tree,Tree> copyHelper(Tree node,Map<String,Tree> newNamesToNodes) {
-    Tree clone;
-    Tree newFoot = null;
-    if (node.isLeaf()) {
-      if (node == foot) { // found the foot node; pass it up.
-        clone = node.treeFactory().newTreeNode(node.label(),new ArrayList<Tree>(0));
-        newFoot = clone;
-      } else {
-        clone = node.treeFactory().newLeaf(node.label().labelFactory().newLabel(node.label()));
-      }
-    } else {
-      List<Tree> newChildren = new ArrayList<Tree>(node.children().length);
-      for (Tree child : node.children()) {
-        Pair<Tree,Tree> newChild = copyHelper(child,newNamesToNodes);
-        newChildren.add(newChild.first());
-        if (newChild.second() != null) {
-          if (newFoot != null) {
-            System.err.println("Error -- two feet found when copying auxiliary tree " + tree.toString() + "; using last foot found.");
-          }
-          newFoot = newChild.second();
-        }
-      }
-      clone = node.treeFactory().newTreeNode(node.label().labelFactory().newLabel(node.label()),newChildren);
-      if (nodesToNames.containsKey(node)) {
-        newNamesToNodes.put(nodesToNames.get(node),clone);
-      }
-    }
-    return new Pair<Tree,Tree>(clone,newFoot);
-  }
-
-
-
-  /***********************************************************/
-  /* below here is init stuff for finding the foot node.     */
-  /***********************************************************/
-
-
-  private static final String footNodeCharacter = "@";
-  private static final Pattern footNodeLabelPattern = Pattern.compile("^(.*)" + footNodeCharacter + '$');
-  private static final Pattern escapedFootNodeCharacter = Pattern.compile('\\' + footNodeCharacter);
-
-  /**
-   * Returns the foot node of the adjunction tree, which is the terminal node
-   * that ends in @.  In the process, turns the foot node into a TreeNode
-   * (rather than a leaf), and destructively un-escapes all the escaped
-   * instances of @ in the tree.  Note that final @ in a non-terminal node is
-   * ignored, and left in.
-   */
-  private static Tree findFootNode(Tree t) {
-    Tree footNode = findFootNodeHelper(t);
-    Tree result = footNode;
-    if (footNode != null) {
-      Tree parent = footNode.parent(t);
-      int i = parent.indexOf(footNode);
-      Tree newFootNode = footNode.treeFactory().newTreeNode(footNode.label(), new ArrayList<Tree>());
-      parent.setChild(i, newFootNode);
-      result = newFootNode;
-    }
-    return result;
-  }
-
-  private static Tree findFootNodeHelper(Tree t) {
-    Tree foundDtr = null;
-    if (t.isLeaf()) {
-      Matcher m = footNodeLabelPattern.matcher(t.label().value());
-      if (m.matches()) {
-        t.label().setValue(m.group(1));
-        return t;
-      } else {
-        return null;
-      }
-    }
-    for (Tree child : t.children()) {
-      Tree thisFoundDtr = findFootNodeHelper(child);
-      if (thisFoundDtr != null) {
-        if (foundDtr != null) {
-          throw new RuntimeException("Error -- two foot nodes in subtree" + t.toString());
-        } else {
-          foundDtr = thisFoundDtr;
-        }
-      }
-    }
-    Matcher m = escapedFootNodeCharacter.matcher(t.label().value());
-    t.label().setValue(m.replaceAll(footNodeCharacter));
-    return foundDtr;
-  }
-
-
-  /***********************************************************/
-  /* below here is init stuff for getting node -> names maps */
-  /***********************************************************/
-
-  private static final String nameIntroducingChar = "=";
-  private static final Pattern namePattern = Pattern.compile(nameIntroducingChar + "(.+)$");
-  private static final Pattern escapedNameChar = Pattern.compile('\\' + nameIntroducingChar);
-
-  /**
-   * Looks for new names, destructively strips them out.  Destructively unescapes escaped "=" too.
-   */
-  private void initializeNamesNodesMaps(Tree t) {
-    for (Tree node : t.subTreeList()) {
-      Matcher m = namePattern.matcher(node.label().value());
-      if (m.find()) {
-        namesToNodes.put(m.group(1),node);
-        nodesToNames.put(node,m.group(1));
-        node.label().setValue(m.replaceFirst(""));
-      }
-      Matcher m1 = escapedNameChar.matcher(node.label().value());
-      node.label().setValue(m1.replaceAll(nameIntroducingChar));
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/CoindexNodes.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/CoindexNodes.java
deleted file mode 100644
index d3b130d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/CoindexNodes.java
+++ /dev/null
@@ -1,27 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-import edu.stanford.nlp.trees.Tree;
-
-/**
- * @author Roger Levy (rog@nlp.stanford.edu)
- */
-public class CoindexNodes extends TsurgeonPattern {
-
-  private static String coindexationIntroductionString = "-";
-
-  public CoindexNodes(TsurgeonPattern[] children) {
-    super("coindex", children);
-  }
-
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher m) {
-    int newIndex = root.coindexer.generateIndex();
-    for(TsurgeonPattern child : children) {
-      Tree node = child.evaluate(t,m);
-      node.label().setValue(node.label().value() + coindexationIntroductionString + newIndex);
-    }
-    return t;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/CoindexationGenerator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/CoindexationGenerator.java
deleted file mode 100644
index f08cc1a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/CoindexationGenerator.java
+++ /dev/null
@@ -1,36 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-
-import java.util.regex.Pattern;
-import java.util.regex.Matcher;
-
-/**
- * @author Roger Levy (rog@nlp.stanford.edu)
- */
-class CoindexationGenerator {
-
-  private static final Pattern coindexationPattern = Pattern.compile("-([0-9]+)$");
-
-  private int lastIndex;
-
-  public void setLastIndex(Tree t) {
-    lastIndex = 0;
-    for (Tree node : t) {
-      String value = node.label().value();
-      if (value != null) {
-        Matcher m = coindexationPattern.matcher(value);
-        if (m.find()) {
-          int thisIndex = Integer.parseInt(m.group(1));
-          lastIndex = Math.max(thisIndex, lastIndex);
-        }
-      }
-    }
-  }
-
-  public int generateIndex() {
-    lastIndex = lastIndex+1;
-    return lastIndex;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/DeleteNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/DeleteNode.java
deleted file mode 100644
index e05076e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/DeleteNode.java
+++ /dev/null
@@ -1,36 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import java.util.List;
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.Trees;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-
-/**
- * @author Roger Levy (rog@stanford.edu)
- */
-class DeleteNode extends TsurgeonPattern {
-
-  public DeleteNode(TsurgeonPattern[] children) {
-    super("delete", children);
-  }
-
-  public DeleteNode(List<TsurgeonPattern> children) {
-    this(children.toArray(new TsurgeonPattern[children.size()]));
-  }
-
-
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher m) {
-    Tree result = t;
-    for (TsurgeonPattern child : children) {
-      Tree nodeToDelete = child.evaluate(t, m);
-      if (nodeToDelete == t) {
-        result = null;
-      }
-      Tree parent = nodeToDelete.parent(t);
-      parent.removeChild(Trees.objectEqualityIndexOf(parent,nodeToDelete));
-    }
-    return result;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/ExciseNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/ExciseNode.java
deleted file mode 100644
index d896f49..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/ExciseNode.java
+++ /dev/null
@@ -1,50 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.Trees;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-
-/** Excises all nodes from the top to the bottom, and puts all the children of bottom node in where the top was.
- * @author Roger Levy (rog@stanford.edu)
- */
-class ExciseNode extends TsurgeonPattern {
-
-  /**
-   * Top should evaluate to a node that dominates bottom, but this is not checked!
-   */
-  public ExciseNode(TsurgeonPattern top, TsurgeonPattern bottom) {
-    super("excise", new TsurgeonPattern[] { top, bottom });
-  }
-
-  /**
-   * Excises only the directed node.
-   */
-  public ExciseNode(TsurgeonPattern node) {
-    super("excise", new TsurgeonPattern[] { node,node });
-  }
-
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher m) {
-    Tree topNode = children[0].evaluate(t,m);
-    Tree bottomNode = children[1].evaluate(t,m);
-    if(Tsurgeon.verbose) {
-      System.err.println("Excising...original tree:");
-      t.pennPrint(System.err);
-      System.err.println("top: " + topNode + "\nbottom:" + bottomNode);
-    }
-    if(topNode==t)
-      return null;
-    Tree parent = topNode.parent(t);
-    if(Tsurgeon.verbose)
-      System.err.println("Parent: " + parent);
-    int i = Trees.objectEqualityIndexOf(parent,topNode);
-    parent.removeChild(i);
-    for(Tree child : bottomNode.children()) {
-      parent.addChild(i,child);
-      i++;
-    }
-    if(Tsurgeon.verbose)
-      t.pennPrint(System.err);
-    return t;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/FetchNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/FetchNode.java
deleted file mode 100644
index 0aa2c27..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/FetchNode.java
+++ /dev/null
@@ -1,27 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-
-/**
- * @author Roger Levy (rog@stanford.edu)
- */
-class FetchNode extends TsurgeonPattern {
-
-  public FetchNode(String nodeName) {
-    super(nodeName, TsurgeonPattern.EMPTY_TSURGEON_PATTERN_ARRAY);
-  }
-
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher m) {
-    Tree result = root.newNodeNames.get(label);
-    if (result == null) {
-      result = m.getNode(label);
-    }
-    if (result == null) {
-      System.err.println("Warning -- null node fetched by Tsurgeon operation for node: " + this +
-              " (either no node labeled this, or the labeled node didn't match anything)");
-    }
-    return result;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/HoldTreeNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/HoldTreeNode.java
deleted file mode 100644
index 3f64a20..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/HoldTreeNode.java
+++ /dev/null
@@ -1,27 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-
-/**
- * @author Roger Levy (rog@stanford.edu)
- */
-class HoldTreeNode extends TsurgeonPattern {
-
-  AuxiliaryTree subTree;
-
-  public HoldTreeNode(AuxiliaryTree t) {
-    super("hold", TsurgeonPattern.EMPTY_TSURGEON_PATTERN_ARRAY);
-    this.subTree = t;
-  }
-
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher m) {
-    return subTree.copy(this).tree;
-  }
-
-  @Override
-  public String toString() {
-    return subTree.toString();
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/InsertNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/InsertNode.java
deleted file mode 100644
index 450be1e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/InsertNode.java
+++ /dev/null
@@ -1,43 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-import edu.stanford.nlp.util.Pair;
-
-/**
- * @author Roger Levy (rog@stanford.edu)
- */
-class InsertNode extends TsurgeonPattern {
-
-  TreeLocation l;
-
-  public InsertNode(TsurgeonPattern child, TreeLocation l) {
-    super("insert", new TsurgeonPattern[] { child });
-    this.l = l;
-  }
-
-  @Override
-  protected void setRoot(TsurgeonPatternRoot root) {
-    super.setRoot(root);
-    l.setRoot(root);
-  }
-
-  public InsertNode(AuxiliaryTree t, TreeLocation l) {
-    this(new HoldTreeNode(t),l);
-  }
-
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher m) {
-    Tree nodeToInsert = children[0].evaluate(t,m);
-    Pair<Tree,Integer> position = l.evaluate(t,m);
-    position.first().insertDtr(nodeToInsert,position.second());
-    return t;
-  }
-
-  @Override
-  public String toString() {
-    return label + '(' + children[0] + ',' + l + ')';
-  }
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/JJTTsurgeonParserState.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/JJTTsurgeonParserState.java
deleted file mode 100644
index 5b2cb20..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/JJTTsurgeonParserState.java
+++ /dev/null
@@ -1,123 +0,0 @@
-/* Generated By:JavaCC: Do not edit this line. JJTTsurgeonParserState.java Version 4.1 */
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-public class JJTTsurgeonParserState {
-  private java.util.List nodes;
-  private java.util.List marks;
-
-  private int sp;        // number of nodes on stack
-  private int mk;        // current mark
-  private boolean node_created;
-
-  public JJTTsurgeonParserState() {
-    nodes = new java.util.ArrayList();
-    marks = new java.util.ArrayList();
-    sp = 0;
-    mk = 0;
-  }
-
-  /* Determines whether the current node was actually closed and
-     pushed.  This should only be called in the final user action of a
-     node scope.  */
-  public boolean nodeCreated() {
-    return node_created;
-  }
-
-  /* Call this to reinitialize the node stack.  It is called
-     automatically by the parser's ReInit() method. */
-  public void reset() {
-    nodes.clear();
-    marks.clear();
-    sp = 0;
-    mk = 0;
-  }
-
-  /* Returns the root node of the AST.  It only makes sense to call
-     this after a successful parse. */
-  public Node rootNode() {
-    return (Node)nodes.get(0);
-  }
-
-  /* Pushes a node on to the stack. */
-  public void pushNode(Node n) {
-    nodes.add(n);
-    ++sp;
-  }
-
-  /* Returns the node on the top of the stack, and remove it from the
-     stack.  */
-  public Node popNode() {
-    if (--sp < mk) {
-      mk = ((Integer)marks.remove(marks.size()-1)).intValue();
-    }
-    return (Node)nodes.remove(nodes.size()-1);
-  }
-
-  /* Returns the node currently on the top of the stack. */
-  public Node peekNode() {
-    return (Node)nodes.get(nodes.size()-1);
-  }
-
-  /* Returns the number of children on the stack in the current node
-     scope. */
-  public int nodeArity() {
-    return sp - mk;
-  }
-
-
-  public void clearNodeScope(Node n) {
-    while (sp > mk) {
-      popNode();
-    }
-    mk = ((Integer)marks.remove(marks.size()-1)).intValue();
-  }
-
-
-  public void openNodeScope(Node n) {
-    marks.add(new Integer(mk));
-    mk = sp;
-    n.jjtOpen();
-  }
-
-
-  /* A definite node is constructed from a specified number of
-     children.  That number of nodes are popped from the stack and
-     made the children of the definite node.  Then the definite node
-     is pushed on to the stack. */
-  public void closeNodeScope(Node n, int num) {
-    mk = ((Integer)marks.remove(marks.size()-1)).intValue();
-    while (num-- > 0) {
-      Node c = popNode();
-      c.jjtSetParent(n);
-      n.jjtAddChild(c, num);
-    }
-    n.jjtClose();
-    pushNode(n);
-    node_created = true;
-  }
-
-
-  /* A conditional node is constructed if its condition is true.  All
-     the nodes that have been pushed since the node was opened are
-     made children of the conditional node, which is then pushed
-     on to the stack.  If the condition is false the node is not
-     constructed and they are left on the stack. */
-  public void closeNodeScope(Node n, boolean condition) {
-    if (condition) {
-      int a = nodeArity();
-      mk = ((Integer)marks.remove(marks.size()-1)).intValue();
-      while (a-- > 0) {
-        Node c = popNode();
-        c.jjtSetParent(n);
-        n.jjtAddChild(c, a);
-      }
-      n.jjtClose();
-      pushNode(n);
-      node_created = true;
-    } else {
-      mk = ((Integer)marks.remove(marks.size()-1)).intValue();
-      node_created = false;
-    }
-  }
-}
-/* JavaCC - OriginalChecksum=1cc3350f1bc72d8bfa74ad7ac0335fcf (do not edit this line) */
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/MoveNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/MoveNode.java
deleted file mode 100644
index 99b5d53..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/MoveNode.java
+++ /dev/null
@@ -1,41 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.Trees;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-import edu.stanford.nlp.util.Pair;
-
-/** Does a delete (NOT prune!) + insert operation
- * @author Roger Levy (rog@stanford.edu)
- */
-class MoveNode extends TsurgeonPattern {
-  TreeLocation l;
-
-  public MoveNode(TsurgeonPattern child, TreeLocation l) {
-    super("move", new TsurgeonPattern[] { child });
-    this.l = l;
-  }
-
-  @Override
-  protected void setRoot(TsurgeonPatternRoot root) {
-    super.setRoot(root);
-    l.setRoot(root);
-  }
-
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher m) {
-    Tree nodeToMove = children[0].evaluate(t,m);
-    Tree oldParent = nodeToMove.parent(t);
-    oldParent.removeChild(Trees.objectEqualityIndexOf(oldParent,nodeToMove));
-    Pair<Tree,Integer> position = l.evaluate(t,m);
-    position.first().insertDtr(nodeToMove,position.second());
-    return t;
-  }
-
-  @Override
-  public String toString() {
-    return label + "(" + children[0] + " " + l + ")"; 
-  }
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/Node.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/Node.java
deleted file mode 100644
index a90eb38..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/Node.java
+++ /dev/null
@@ -1,34 +0,0 @@
-/* Generated By:JJTree: Do not edit this line. Node.java */
-
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-/* All AST nodes must implement this interface.  It provides basic
-   machinery for constructing the parent and child relationships
-   between nodes. */
-
-interface Node {
-
-  /** This method is called after the node has been made the current
-    node.  It indicates that child nodes can now be added to it. */
-  public void jjtOpen();
-
-  /** This method is called after all the child nodes have been
-    added. */
-  public void jjtClose();
-
-  /** This pair of methods are used to inform the node of its
-    parent. */
-  public void jjtSetParent(Node n);
-  public Node jjtGetParent();
-
-  /** This method tells the node to add its argument to the node's
-    list of children.  */
-  public void jjtAddChild(Node n, int i);
-
-  /** This method returns a child node.  The children are numbered
-     from zero, left to right. */
-  public Node jjtGetChild(int i);
-
-  /** Return the number of children the node has. */
-  public int jjtGetNumChildren();
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/ParseException.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/ParseException.java
deleted file mode 100644
index b889050..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/ParseException.java
+++ /dev/null
@@ -1,198 +0,0 @@
-/* Generated By:JavaCC: Do not edit this line. ParseException.java Version 4.1 */
-/* JavaCCOptions:KEEP_LINE_COL=null */
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-/**
- * This exception is thrown when parse errors are encountered.
- * You can explicitly create objects of this exception type by
- * calling the method generateParseException in the generated
- * parser.
- *
- * You can modify this class to customize your error reporting
- * mechanisms so long as you retain the public fields.
- */
-public class ParseException extends Exception {
-
-  /**
-   * This constructor is used by the method "generateParseException"
-   * in the generated parser.  Calling this constructor generates
-   * a new object of this type with the fields "currentToken",
-   * "expectedTokenSequences", and "tokenImage" set.  The boolean
-   * flag "specialConstructor" is also set to true to indicate that
-   * this constructor was used to create this object.
-   * This constructor calls its super class with the empty string
-   * to force the "toString" method of parent class "Throwable" to
-   * print the error message in the form:
-   *     ParseException: <result of getMessage>
-   */
-  public ParseException(Token currentTokenVal,
-                        int[][] expectedTokenSequencesVal,
-                        String[] tokenImageVal
-                       )
-  {
-    super("");
-    specialConstructor = true;
-    currentToken = currentTokenVal;
-    expectedTokenSequences = expectedTokenSequencesVal;
-    tokenImage = tokenImageVal;
-  }
-
-  /**
-   * The following constructors are for use by you for whatever
-   * purpose you can think of.  Constructing the exception in this
-   * manner makes the exception behave in the normal way - i.e., as
-   * documented in the class "Throwable".  The fields "errorToken",
-   * "expectedTokenSequences", and "tokenImage" do not contain
-   * relevant information.  The JavaCC generated code does not use
-   * these constructors.
-   */
-
-  public ParseException() {
-    super();
-    specialConstructor = false;
-  }
-
-  /** Constructor with message. */
-  public ParseException(String message) {
-    super(message);
-    specialConstructor = false;
-  }
-
-  /**
-   * This variable determines which constructor was used to create
-   * this object and thereby affects the semantics of the
-   * "getMessage" method (see below).
-   */
-  protected boolean specialConstructor;
-
-  /**
-   * This is the last token that has been consumed successfully.  If
-   * this object has been created due to a parse error, the token
-   * followng this token will (therefore) be the first error token.
-   */
-  public Token currentToken;
-
-  /**
-   * Each entry in this array is an array of integers.  Each array
-   * of integers represents a sequence of tokens (by their ordinal
-   * values) that is expected at this point of the parse.
-   */
-  public int[][] expectedTokenSequences;
-
-  /**
-   * This is a reference to the "tokenImage" array of the generated
-   * parser within which the parse error occurred.  This array is
-   * defined in the generated ...Constants interface.
-   */
-  public String[] tokenImage;
-
-  /**
-   * This method has the standard behavior when this object has been
-   * created using the standard constructors.  Otherwise, it uses
-   * "currentToken" and "expectedTokenSequences" to generate a parse
-   * error message and returns it.  If this object has been created
-   * due to a parse error, and you do not catch it (it gets thrown
-   * from the parser), then this method is called during the printing
-   * of the final stack trace, and hence the correct error message
-   * gets displayed.
-   */
-  public String getMessage() {
-    if (!specialConstructor) {
-      return super.getMessage();
-    }
-    StringBuffer expected = new StringBuffer();
-    int maxSize = 0;
-    for (int i = 0; i < expectedTokenSequences.length; i++) {
-      if (maxSize < expectedTokenSequences[i].length) {
-        maxSize = expectedTokenSequences[i].length;
-      }
-      for (int j = 0; j < expectedTokenSequences[i].length; j++) {
-        expected.append(tokenImage[expectedTokenSequences[i][j]]).append(' ');
-      }
-      if (expectedTokenSequences[i][expectedTokenSequences[i].length - 1] != 0) {
-        expected.append("...");
-      }
-      expected.append(eol).append("    ");
-    }
-    String retval = "Encountered \"";
-    Token tok = currentToken.next;
-    for (int i = 0; i < maxSize; i++) {
-      if (i != 0) retval += " ";
-      if (tok.kind == 0) {
-        retval += tokenImage[0];
-        break;
-      }
-      retval += " " + tokenImage[tok.kind];
-      retval += " \"";
-      retval += add_escapes(tok.image);
-      retval += " \"";
-      tok = tok.next;
-    }
-    retval += "\" at line " + currentToken.next.beginLine + ", column " + currentToken.next.beginColumn;
-    retval += "." + eol;
-    if (expectedTokenSequences.length == 1) {
-      retval += "Was expecting:" + eol + "    ";
-    } else {
-      retval += "Was expecting one of:" + eol + "    ";
-    }
-    retval += expected.toString();
-    return retval;
-  }
-
-  /**
-   * The end of line string for this machine.
-   */
-  protected String eol = System.getProperty("line.separator", "\n");
-
-  /**
-   * Used to convert raw characters to their escaped version
-   * when these raw version cannot be used as part of an ASCII
-   * string literal.
-   */
-  protected String add_escapes(String str) {
-      StringBuffer retval = new StringBuffer();
-      char ch;
-      for (int i = 0; i < str.length(); i++) {
-        switch (str.charAt(i))
-        {
-           case 0 :
-              continue;
-           case '\b':
-              retval.append("\\b");
-              continue;
-           case '\t':
-              retval.append("\\t");
-              continue;
-           case '\n':
-              retval.append("\\n");
-              continue;
-           case '\f':
-              retval.append("\\f");
-              continue;
-           case '\r':
-              retval.append("\\r");
-              continue;
-           case '\"':
-              retval.append("\\\"");
-              continue;
-           case '\'':
-              retval.append("\\\'");
-              continue;
-           case '\\':
-              retval.append("\\\\");
-              continue;
-           default:
-              if ((ch = str.charAt(i)) < 0x20 || ch > 0x7e) {
-                 String s = "0000" + Integer.toString(ch, 16);
-                 retval.append("\\u" + s.substring(s.length() - 4, s.length()));
-              } else {
-                 retval.append(ch);
-              }
-              continue;
-        }
-      }
-      return retval.toString();
-   }
-
-}
-/* JavaCC - OriginalChecksum=254736eb0568e61452ba2588268cbffb (do not edit this line) */
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/PruneNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/PruneNode.java
deleted file mode 100644
index bc5cb51..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/PruneNode.java
+++ /dev/null
@@ -1,41 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import java.util.List;
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.Trees;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-
-/**  Pruning differs from deleting in that if a non-terminal node winds up having no children, it is pruned as well.
- * @author Roger Levy (rog@nlp.stanford.edu)
- */
-class PruneNode extends TsurgeonPattern {
-
-  public PruneNode(TsurgeonPattern[] children) {
-    super("prune", children );
-  }
-
-  public PruneNode(List<TsurgeonPattern> children) {
-    this(children.toArray(new TsurgeonPattern[children.size()]));
-  }
-
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher m) {
-    boolean prunedWholeTree = false;
-    for(TsurgeonPattern child : children) {
-      final Tree nodeToPrune = child.evaluate(t,m);
-      if(pruneHelper(t,nodeToPrune) == null)
-        prunedWholeTree = true;
-    }
-    return prunedWholeTree ? null : t;
-  }
-
-  private static Tree pruneHelper(Tree root, Tree nodeToPrune) {
-    if(nodeToPrune==root)
-      return null;
-    Tree parent = nodeToPrune.parent(root);
-    parent.removeChild(Trees.objectEqualityIndexOf(parent,nodeToPrune));
-    if(parent.children().length==0)
-      return pruneHelper(root,parent);
-    return root;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/RelabelNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/RelabelNode.java
deleted file mode 100644
index 3f60472..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/RelabelNode.java
+++ /dev/null
@@ -1,90 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-
-import java.util.regex.Pattern;
-import java.util.regex.Matcher;
-
-/**
- * @author Roger Levy (rog@stanford.edu)
- */
-class RelabelNode extends TsurgeonPattern {
-
-  private static final Pattern regexPattern = Pattern.compile("/(.*)/");
-  private static final Pattern substPattern = Pattern.compile("/(.*[^\\\\])/(.*)/");
-
-  private final boolean fixedNewLabel; // = false;
-  private String newLabel;
-
-  private Pattern labelRegex;
-  private String replacementString;
-
-  public RelabelNode(TsurgeonPattern child, String newLabel) {
-    super("relabel", new TsurgeonPattern[] { child });
-    Matcher m1 = substPattern.matcher(newLabel);
-    if (m1.matches()) {
-      // substitution pattern
-      fixedNewLabel = false;
-      this.labelRegex = Pattern.compile(m1.group(1));
-      this.replacementString = m1.group(2);
-    } else {
-      fixedNewLabel = true;
-      Matcher m2 = regexPattern.matcher(newLabel);
-      if (m2.matches()) {
-        // fixed relabel but quoted in regex slashes
-        String unescapedLabel = m2.group(1);
-        this.newLabel = removeEscapeSlashes(unescapedLabel);
-      } else {
-        // just a node name to relabel to
-        this.newLabel = newLabel;
-      }
-    }
-  }
-
-  private static String removeEscapeSlashes(String in) {
-    StringBuilder out = new StringBuilder();
-    int len = in.length();
-    boolean lastIsBackslash = false;
-    for (int i = 0; i < len; i++) {
-      char ch = in.charAt(i);
-      if (ch == '\\') {
-        if (lastIsBackslash || i == len - 1 ) {
-          out.append(ch);
-          lastIsBackslash = false;
-        } else {
-          lastIsBackslash = true;
-        }
-      } else {
-        out.append(ch);
-        lastIsBackslash = false;
-      }
-    }
-    return out.toString();
-  }
-
-
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher tm) {
-    Tree nodeToRelabel = children[0].evaluate(t, tm);
-    if (fixedNewLabel) {
-      nodeToRelabel.label().setValue(newLabel);
-    } else {
-      Matcher m = labelRegex.matcher(nodeToRelabel.label().value());
-      nodeToRelabel.label().setValue(m.replaceAll(replacementString));
-    }
-    return t;
-  }
-
-  @Override
-  public String toString() {
-    String result;
-    if (fixedNewLabel) {
-      result =  label + '(' + children[0].toString() + ',' + newLabel + ')';
-    } else {
-      result = label + '(' + children[0].toString() + ',' + labelRegex.toString() + ',' + replacementString + ')';
-    }
-    return result;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/ReplaceNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/ReplaceNode.java
deleted file mode 100644
index b4d9bc4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/ReplaceNode.java
+++ /dev/null
@@ -1,31 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-
-/**
- * @author Roger Levy (rog@stanford.edu)
- */
-class ReplaceNode extends TsurgeonPattern {
-
-  public ReplaceNode(TsurgeonPattern oldNode, TsurgeonPattern newNode) {
-    super("replace", new TsurgeonPattern[] { oldNode, newNode });
-  }
-
-  public ReplaceNode(TsurgeonPattern oldNode, AuxiliaryTree t) {
-    this(oldNode, new HoldTreeNode(t));
-  }
-
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher m) {
-    Tree oldNode = children[0].evaluate(t,m);
-    Tree newNode = children[1].evaluate(t,m);
-    if(oldNode==t)
-      return newNode;
-    Tree parent = oldNode.parent(t);
-    int i = parent.indexOf(oldNode);
-    parent.removeChild(i);
-    parent.insertDtr(newNode,i);
-    return t;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/SimpleCharStream.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/SimpleCharStream.java
deleted file mode 100644
index 046e93d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/SimpleCharStream.java
+++ /dev/null
@@ -1,478 +0,0 @@
-/* Generated By:JavaCC: Do not edit this line. SimpleCharStream.java Version 4.1 */
-/* JavaCCOptions:STATIC=true */
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-/**
- * An implementation of interface CharStream, where the stream is assumed to
- * contain only ASCII characters (without unicode processing).
- */
-
-public class SimpleCharStream
-{
-/** Whether parser is static. */
-  public static final boolean staticFlag = true;
-  static int bufsize;
-  static int available;
-  static int tokenBegin;
-/** Position in buffer. */
-  static public int bufpos = -1;
-  static protected int bufline[];
-  static protected int bufcolumn[];
-
-  static protected int column = 0;
-  static protected int line = 1;
-
-  static protected boolean prevCharIsCR = false;
-  static protected boolean prevCharIsLF = false;
-
-  static protected java.io.Reader inputStream;
-
-  static protected char[] buffer;
-  static protected int maxNextCharInd = 0;
-  static protected int inBuf = 0;
-  static protected int tabSize = 8;
-
-  static protected void setTabSize(int i) { tabSize = i; }
-  static protected int getTabSize(int i) { return tabSize; }
-
-
-  static protected void ExpandBuff(boolean wrapAround)
-  {
-     char[] newbuffer = new char[bufsize + 2048];
-     int newbufline[] = new int[bufsize + 2048];
-     int newbufcolumn[] = new int[bufsize + 2048];
-
-     try
-     {
-        if (wrapAround)
-        {
-           System.arraycopy(buffer, tokenBegin, newbuffer, 0, bufsize - tokenBegin);
-           System.arraycopy(buffer, 0, newbuffer,
-                                             bufsize - tokenBegin, bufpos);
-           buffer = newbuffer;
-
-           System.arraycopy(bufline, tokenBegin, newbufline, 0, bufsize - tokenBegin);
-           System.arraycopy(bufline, 0, newbufline, bufsize - tokenBegin, bufpos);
-           bufline = newbufline;
-
-           System.arraycopy(bufcolumn, tokenBegin, newbufcolumn, 0, bufsize - tokenBegin);
-           System.arraycopy(bufcolumn, 0, newbufcolumn, bufsize - tokenBegin, bufpos);
-           bufcolumn = newbufcolumn;
-
-           maxNextCharInd = (bufpos += (bufsize - tokenBegin));
-        }
-        else
-        {
-           System.arraycopy(buffer, tokenBegin, newbuffer, 0, bufsize - tokenBegin);
-           buffer = newbuffer;
-
-           System.arraycopy(bufline, tokenBegin, newbufline, 0, bufsize - tokenBegin);
-           bufline = newbufline;
-
-           System.arraycopy(bufcolumn, tokenBegin, newbufcolumn, 0, bufsize - tokenBegin);
-           bufcolumn = newbufcolumn;
-
-           maxNextCharInd = (bufpos -= tokenBegin);
-        }
-     }
-     catch (Throwable t)
-     {
-        throw new Error(t.getMessage());
-     }
-
-
-     bufsize += 2048;
-     available = bufsize;
-     tokenBegin = 0;
-  }
-
-  static protected void FillBuff() throws java.io.IOException
-  {
-     if (maxNextCharInd == available)
-     {
-        if (available == bufsize)
-        {
-           if (tokenBegin > 2048)
-           {
-              bufpos = maxNextCharInd = 0;
-              available = tokenBegin;
-           }
-           else if (tokenBegin < 0)
-              bufpos = maxNextCharInd = 0;
-           else
-              ExpandBuff(false);
-        }
-        else if (available > tokenBegin)
-           available = bufsize;
-        else if ((tokenBegin - available) < 2048)
-           ExpandBuff(true);
-        else
-           available = tokenBegin;
-     }
-
-     int i;
-     try {
-        if ((i = inputStream.read(buffer, maxNextCharInd,
-                                    available - maxNextCharInd)) == -1)
-        {
-           inputStream.close();
-           throw new java.io.IOException();
-        }
-        else
-           maxNextCharInd += i;
-        return;
-     }
-     catch(java.io.IOException e) {
-        --bufpos;
-        backup(0);
-        if (tokenBegin == -1)
-           tokenBegin = bufpos;
-        throw e;
-     }
-  }
-
-/** Start. */
-  static public char BeginToken() throws java.io.IOException
-  {
-     tokenBegin = -1;
-     char c = readChar();
-     tokenBegin = bufpos;
-
-     return c;
-  }
-
-  static protected void UpdateLineColumn(char c)
-  {
-     column++;
-
-     if (prevCharIsLF)
-     {
-        prevCharIsLF = false;
-        line += (column = 1);
-     }
-     else if (prevCharIsCR)
-     {
-        prevCharIsCR = false;
-        if (c == '\n')
-        {
-           prevCharIsLF = true;
-        }
-        else
-           line += (column = 1);
-     }
-
-     switch (c)
-     {
-        case '\r' :
-           prevCharIsCR = true;
-           break;
-        case '\n' :
-           prevCharIsLF = true;
-           break;
-        case '\t' :
-           column--;
-           column += (tabSize - (column % tabSize));
-           break;
-        default :
-           break;
-     }
-
-     bufline[bufpos] = line;
-     bufcolumn[bufpos] = column;
-  }
-
-/** Read a character. */
-  static public char readChar() throws java.io.IOException
-  {
-     if (inBuf > 0)
-     {
-        --inBuf;
-
-        if (++bufpos == bufsize)
-           bufpos = 0;
-
-        return buffer[bufpos];
-     }
-
-     if (++bufpos >= maxNextCharInd)
-        FillBuff();
-
-     char c = buffer[bufpos];
-
-     UpdateLineColumn(c);
-     return c;
-  }
-
-  /**
-   * @deprecated
-   * @see #getEndColumn
-   */
-
-  @Deprecated
-  static public int getColumn() {
-     return bufcolumn[bufpos];
-  }
-
-  /**
-   * @deprecated
-   * @see #getEndLine
-   */
-
-  @Deprecated
-  static public int getLine() {
-     return bufline[bufpos];
-  }
-
-  /** Get token end column number. */
-  static public int getEndColumn() {
-     return bufcolumn[bufpos];
-  }
-
-  /** Get token end line number. */
-  static public int getEndLine() {
-     return bufline[bufpos];
-  }
-
-  /** Get token beginning column number. */
-  static public int getBeginColumn() {
-     return bufcolumn[tokenBegin];
-  }
-
-  /** Get token beginning line number. */
-  static public int getBeginLine() {
-     return bufline[tokenBegin];
-  }
-
-/** Backup a number of characters. */
-  static public void backup(int amount) {
-
-    inBuf += amount;
-    if ((bufpos -= amount) < 0)
-       bufpos += bufsize;
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.Reader dstream, int startline,
-  int startcolumn, int buffersize)
-  {
-    if (inputStream != null)
-       throw new Error("\n   ERROR: Second call to the constructor of a static SimpleCharStream.\n" +
-       "       You must either use ReInit() or set the JavaCC option STATIC to false\n" +
-       "       during the generation of this class.");
-    inputStream = dstream;
-    line = startline;
-    column = startcolumn - 1;
-
-    available = bufsize = buffersize;
-    buffer = new char[buffersize];
-    bufline = new int[buffersize];
-    bufcolumn = new int[buffersize];
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.Reader dstream, int startline,
-                          int startcolumn)
-  {
-     this(dstream, startline, startcolumn, 4096);
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.Reader dstream)
-  {
-     this(dstream, 1, 1, 4096);
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.Reader dstream, int startline,
-  int startcolumn, int buffersize)
-  {
-    inputStream = dstream;
-    line = startline;
-    column = startcolumn - 1;
-
-    if (buffer == null || buffersize != buffer.length)
-    {
-      available = bufsize = buffersize;
-      buffer = new char[buffersize];
-      bufline = new int[buffersize];
-      bufcolumn = new int[buffersize];
-    }
-    prevCharIsLF = prevCharIsCR = false;
-    tokenBegin = inBuf = maxNextCharInd = 0;
-    bufpos = -1;
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.Reader dstream, int startline,
-                     int startcolumn)
-  {
-     ReInit(dstream, startline, startcolumn, 4096);
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.Reader dstream)
-  {
-     ReInit(dstream, 1, 1, 4096);
-  }
-  /** Constructor. */
-  public SimpleCharStream(java.io.InputStream dstream, String encoding, int startline,
-  int startcolumn, int buffersize) throws java.io.UnsupportedEncodingException
-  {
-     this(encoding == null ? new java.io.InputStreamReader(dstream) : new java.io.InputStreamReader(dstream, encoding), startline, startcolumn, buffersize);
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.InputStream dstream, int startline,
-  int startcolumn, int buffersize)
-  {
-     this(new java.io.InputStreamReader(dstream), startline, startcolumn, buffersize);
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.InputStream dstream, String encoding, int startline,
-                          int startcolumn) throws java.io.UnsupportedEncodingException
-  {
-     this(dstream, encoding, startline, startcolumn, 4096);
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.InputStream dstream, int startline,
-                          int startcolumn)
-  {
-     this(dstream, startline, startcolumn, 4096);
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.InputStream dstream, String encoding) throws java.io.UnsupportedEncodingException
-  {
-     this(dstream, encoding, 1, 1, 4096);
-  }
-
-  /** Constructor. */
-  public SimpleCharStream(java.io.InputStream dstream)
-  {
-     this(dstream, 1, 1, 4096);
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream dstream, String encoding, int startline,
-                          int startcolumn, int buffersize) throws java.io.UnsupportedEncodingException
-  {
-     ReInit(encoding == null ? new java.io.InputStreamReader(dstream) : new java.io.InputStreamReader(dstream, encoding), startline, startcolumn, buffersize);
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream dstream, int startline,
-                          int startcolumn, int buffersize)
-  {
-     ReInit(new java.io.InputStreamReader(dstream), startline, startcolumn, buffersize);
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream dstream, String encoding) throws java.io.UnsupportedEncodingException
-  {
-     ReInit(dstream, encoding, 1, 1, 4096);
-  }
-
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream dstream)
-  {
-     ReInit(dstream, 1, 1, 4096);
-  }
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream dstream, String encoding, int startline,
-                     int startcolumn) throws java.io.UnsupportedEncodingException
-  {
-     ReInit(dstream, encoding, startline, startcolumn, 4096);
-  }
-  /** Reinitialise. */
-  public void ReInit(java.io.InputStream dstream, int startline,
-                     int startcolumn)
-  {
-     ReInit(dstream, startline, startcolumn, 4096);
-  }
-  /** Get token literal value. */
-  static public String GetImage()
-  {
-     if (bufpos >= tokenBegin)
-        return new String(buffer, tokenBegin, bufpos - tokenBegin + 1);
-     else
-        return new String(buffer, tokenBegin, bufsize - tokenBegin) +
-                              new String(buffer, 0, bufpos + 1);
-  }
-
-  /** Get the suffix. */
-  static public char[] GetSuffix(int len)
-  {
-     char[] ret = new char[len];
-
-     if ((bufpos + 1) >= len)
-        System.arraycopy(buffer, bufpos - len + 1, ret, 0, len);
-     else
-     {
-        System.arraycopy(buffer, bufsize - (len - bufpos - 1), ret, 0,
-                                                          len - bufpos - 1);
-        System.arraycopy(buffer, 0, ret, len - bufpos - 1, bufpos + 1);
-     }
-
-     return ret;
-  }
-
-  /** Reset buffer when finished. */
-  static public void Done()
-  {
-     buffer = null;
-     bufline = null;
-     bufcolumn = null;
-  }
-
-  /**
-   * Method to adjust line and column numbers for the start of a token.
-   */
-  static public void adjustBeginLineColumn(int newLine, int newCol)
-  {
-     int start = tokenBegin;
-     int len;
-
-     if (bufpos >= tokenBegin)
-     {
-        len = bufpos - tokenBegin + inBuf + 1;
-     }
-     else
-     {
-        len = bufsize - tokenBegin + bufpos + 1 + inBuf;
-     }
-
-     int i = 0, j = 0, k = 0;
-     int nextColDiff = 0, columnDiff = 0;
-
-     while (i < len &&
-            bufline[j = start % bufsize] == bufline[k = ++start % bufsize])
-     {
-        bufline[j] = newLine;
-        nextColDiff = columnDiff + bufcolumn[k] - bufcolumn[j];
-        bufcolumn[j] = newCol + columnDiff;
-        columnDiff = nextColDiff;
-        i++;
-     }
-
-     if (i < len)
-     {
-        bufline[j] = newLine++;
-        bufcolumn[j] = newCol + columnDiff;
-
-        while (i++ < len)
-        {
-           if (bufline[j = start % bufsize] != bufline[++start % bufsize])
-              bufline[j] = newLine++;
-           else
-              bufline[j] = newLine;
-        }
-     }
-
-     line = bufline[j];
-     column = bufcolumn[j];
-  }
-
-}
-/* JavaCC - OriginalChecksum=a68b0569dfda1fbe19329e8ad8362c0c (do not edit this line) */
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/SimpleNode.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/SimpleNode.java
deleted file mode 100644
index c818c53..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/SimpleNode.java
+++ /dev/null
@@ -1,73 +0,0 @@
-/* Generated By:JJTree: Do not edit this line. SimpleNode.java */
-
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-class SimpleNode implements Node {
-  protected Node parent;
-  protected Node[] children;
-  protected int id;
-  protected TsurgeonParser parser;
-
-  public SimpleNode(int i) {
-    id = i;
-  }
-
-  public SimpleNode(TsurgeonParser p, int i) {
-    this(i);
-    parser = p;
-  }
-
-  public void jjtOpen() {
-  }
-
-  public void jjtClose() {
-  }
-  
-  public void jjtSetParent(Node n) { parent = n; }
-  public Node jjtGetParent() { return parent; }
-
-  public void jjtAddChild(Node n, int i) {
-    if (children == null) {
-      children = new Node[i + 1];
-    } else if (i >= children.length) {
-      Node c[] = new Node[i + 1];
-      System.arraycopy(children, 0, c, 0, children.length);
-      children = c;
-    }
-    children[i] = n;
-  }
-
-  public Node jjtGetChild(int i) {
-    return children[i];
-  }
-
-  public int jjtGetNumChildren() {
-    return (children == null) ? 0 : children.length;
-  }
-
-  /* You can override these two methods in subclasses of SimpleNode to
-     customize the way the node appears when the tree is dumped.  If
-     your output uses more than one line you should override
-     toString(String), otherwise overriding toString() is probably all
-     you need to do. */
-
-  @Override
-  public String toString() { return TsurgeonParserTreeConstants.jjtNodeName[id]; }
-  public String toString(String prefix) { return prefix + toString(); }
-
-  /* Override this method if you want to customize how the node dumps
-     out its children. */
-
-  public void dump(String prefix) {
-    System.out.println(toString(prefix));
-    if (children != null) {
-      for (int i = 0; i < children.length; ++i) {
-	SimpleNode n = (SimpleNode)children[i];
-	if (n != null) {
-	  n.dump(prefix + " ");
-	}
-      }
-    }
-  }
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/Token.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/Token.java
deleted file mode 100644
index 0bf1920..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/Token.java
+++ /dev/null
@@ -1,124 +0,0 @@
-/* Generated By:JavaCC: Do not edit this line. Token.java Version 4.1 */
-/* JavaCCOptions:TOKEN_EXTENDS=,KEEP_LINE_COL=null */
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-/**
- * Describes the input token stream.
- */
-
-public class Token {
-
-  /**
-   * An integer that describes the kind of this token.  This numbering
-   * system is determined by JavaCCParser, and a table of these numbers is
-   * stored in the file ...Constants.java.
-   */
-  public int kind;
-
-  /** The line number of the first character of this Token. */
-  public int beginLine;
-  /** The column number of the first character of this Token. */
-  public int beginColumn;
-  /** The line number of the last character of this Token. */
-  public int endLine;
-  /** The column number of the last character of this Token. */
-  public int endColumn;
-
-  /**
-   * The string image of the token.
-   */
-  public String image;
-
-  /**
-   * A reference to the next regular (non-special) token from the input
-   * stream.  If this is the last token from the input stream, or if the
-   * token manager has not read tokens beyond this one, this field is
-   * set to null.  This is true only if this token is also a regular
-   * token.  Otherwise, see below for a description of the contents of
-   * this field.
-   */
-  public Token next;
-
-  /**
-   * This field is used to access special tokens that occur prior to this
-   * token, but after the immediately preceding regular (non-special) token.
-   * If there are no such special tokens, this field is set to null.
-   * When there are more than one such special token, this field refers
-   * to the last of these special tokens, which in turn refers to the next
-   * previous special token through its specialToken field, and so on
-   * until the first special token (whose specialToken field is null).
-   * The next fields of special tokens refer to other special tokens that
-   * immediately follow it (without an intervening regular token).  If there
-   * is no such token, this field is null.
-   */
-  public Token specialToken;
-
-  /**
-   * An optional attribute value of the Token.
-   * Tokens which are not used as syntactic sugar will often contain
-   * meaningful values that will be used later on by the compiler or
-   * interpreter. This attribute value is often different from the image.
-   * Any subclass of Token that actually wants to return a non-null value can
-   * override this method as appropriate.
-   */
-  public Object getValue() {
-    return null;
-  }
-
-  /**
-   * No-argument constructor
-   */
-  public Token() {}
-
-  /**
-   * Constructs a new token for the specified Image.
-   */
-  public Token(int kind)
-  {
-     this(kind, null);
-  }
-
-  /**
-   * Constructs a new token for the specified Image and Kind.
-   */
-  public Token(int kind, String image)
-  {
-     this.kind = kind;
-     this.image = image;
-  }
-
-  /**
-   * Returns the image.
-   */
-  public String toString()
-  {
-     return image;
-  }
-
-  /**
-   * Returns a new Token object, by default. However, if you want, you
-   * can create and return subclass objects based on the value of ofKind.
-   * Simply add the cases to the switch for all those special cases.
-   * For example, if you have a subclass of Token called IDToken that
-   * you want to create if ofKind is ID, simply add something like :
-   *
-   *    case MyParserConstants.ID : return new IDToken(ofKind, image);
-   *
-   * to the following switch statement. Then you can cast matchedToken
-   * variable to the appropriate type and use sit in your lexical actions.
-   */
-  public static Token newToken(int ofKind, String image)
-  {
-     switch(ofKind)
-     {
-       default : return new Token(ofKind, image);
-     }
-  }
-
-  public static Token newToken(int ofKind)
-  {
-     return newToken(ofKind, null);
-  }
-
-}
-/* JavaCC - OriginalChecksum=2c40c30d23036d8fc3e9f2e821ad1917 (do not edit this line) */
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TokenMgrError.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TokenMgrError.java
deleted file mode 100644
index a569789..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TokenMgrError.java
+++ /dev/null
@@ -1,140 +0,0 @@
-/* Generated By:JavaCC: Do not edit this line. TokenMgrError.java Version 4.1 */
-/* JavaCCOptions: */
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-/** Token Manager Error. */
-public class TokenMgrError extends Error
-{
-
-   /*
-    * Ordinals for various reasons why an Error of this type can be thrown.
-    */
-
-   /**
-    * Lexical error occurred.
-    */
-   static final int LEXICAL_ERROR = 0;
-
-   /**
-    * An attempt was made to create a second instance of a static token manager.
-    */
-   static final int STATIC_LEXER_ERROR = 1;
-
-   /**
-    * Tried to change to an invalid lexical state.
-    */
-   static final int INVALID_LEXICAL_STATE = 2;
-
-   /**
-    * Detected (and bailed out of) an infinite loop in the token manager.
-    */
-   static final int LOOP_DETECTED = 3;
-
-   /**
-    * Indicates the reason why the exception is thrown. It will have
-    * one of the above 4 values.
-    */
-   int errorCode;
-
-   /**
-    * Replaces unprintable characters by their escaped (or unicode escaped)
-    * equivalents in the given string
-    */
-   protected static final String addEscapes(String str) {
-      StringBuffer retval = new StringBuffer();
-      char ch;
-      for (int i = 0; i < str.length(); i++) {
-        switch (str.charAt(i))
-        {
-           case 0 :
-              continue;
-           case '\b':
-              retval.append("\\b");
-              continue;
-           case '\t':
-              retval.append("\\t");
-              continue;
-           case '\n':
-              retval.append("\\n");
-              continue;
-           case '\f':
-              retval.append("\\f");
-              continue;
-           case '\r':
-              retval.append("\\r");
-              continue;
-           case '\"':
-              retval.append("\\\"");
-              continue;
-           case '\'':
-              retval.append("\\\'");
-              continue;
-           case '\\':
-              retval.append("\\\\");
-              continue;
-           default:
-              if ((ch = str.charAt(i)) < 0x20 || ch > 0x7e) {
-                 String s = "0000" + Integer.toString(ch, 16);
-                 retval.append("\\u" + s.substring(s.length() - 4, s.length()));
-              } else {
-                 retval.append(ch);
-              }
-              continue;
-        }
-      }
-      return retval.toString();
-   }
-
-   /**
-    * Returns a detailed message for the Error when it is thrown by the
-    * token manager to indicate a lexical error.
-    * Parameters :
-    *    EOFSeen     : indicates if EOF caused the lexical error
-    *    curLexState : lexical state in which this error occurred
-    *    errorLine   : line number when the error occurred
-    *    errorColumn : column number when the error occurred
-    *    errorAfter  : prefix that was seen before this error occurred
-    *    curchar     : the offending character
-    * Note: You can customize the lexical error message by modifying this method.
-    */
-   protected static String LexicalError(boolean EOFSeen, int lexState, int errorLine, int errorColumn, String errorAfter, char curChar) {
-      return("Lexical error at line " +
-           errorLine + ", column " +
-           errorColumn + ".  Encountered: " +
-           (EOFSeen ? "<EOF> " : ("\"" + addEscapes(String.valueOf(curChar)) + "\"") + " (" + (int)curChar + "), ") +
-           "after : \"" + addEscapes(errorAfter) + "\"");
-   }
-
-   /**
-    * You can also modify the body of this method to customize your error messages.
-    * For example, cases like LOOP_DETECTED and INVALID_LEXICAL_STATE are not
-    * of end-users concern, so you can return something like :
-    *
-    *     "Internal Error : Please file a bug report .... "
-    *
-    * from this method for such cases in the release version of your parser.
-    */
-   public String getMessage() {
-      return super.getMessage();
-   }
-
-   /*
-    * Constructors of various flavors follow.
-    */
-
-   /** No arg constructor. */
-   public TokenMgrError() {
-   }
-
-   /** Constructor with message and reason. */
-   public TokenMgrError(String message, int reason) {
-      super(message);
-      errorCode = reason;
-   }
-
-   /** Full Constructor. */
-   public TokenMgrError(boolean EOFSeen, int lexState, int errorLine, int errorColumn, String errorAfter, char curChar, int reason) {
-      this(LexicalError(EOFSeen, lexState, errorLine, errorColumn, errorAfter, curChar), reason);
-   }
-}
-/* JavaCC - OriginalChecksum=3771b041ada6d81f156e05ad926c4494 (do not edit this line) */
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TreeLocation.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TreeLocation.java
deleted file mode 100644
index 2e22c97..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TreeLocation.java
+++ /dev/null
@@ -1,62 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-import edu.stanford.nlp.util.Pair;
-
-import java.util.regex.Pattern;
-import java.util.regex.Matcher;
-
-/**
- * @author Roger Levy
- */
-class TreeLocation {
-
-  private final String relation;
-
-  private final TsurgeonPattern p;
-
-  public TreeLocation(String relation, TsurgeonPattern p) {
-    this.relation = relation;
-    this.p = p;
-  }
-
-  void setRoot(TsurgeonPatternRoot root) {
-    p.setRoot(root);
-  }
-
-  private static final Pattern daughterPattern = Pattern.compile(">-?([0-9]+)");
-
-  Pair<Tree,Integer> evaluate(Tree t, TregexMatcher tm) {
-    int newIndex = -1;
-    Tree parent = null;
-    Tree relativeNode = p.evaluate(t,tm);
-    Matcher m = daughterPattern.matcher(relation);
-    if (m.matches()) {
-      newIndex = Integer.parseInt(m.group(1))-1;
-      parent = relativeNode;
-      if(relation.charAt(1)=='-') // backwards.
-        newIndex = parent.children().length - newIndex;
-    } else {
-      parent = relativeNode.parent(t);
-      if (parent == null) {
-        throw new RuntimeException("Error: looking for a non-existent parent in tree " + t + " for \"" + toString() + "\"");
-      }
-      int index = parent.indexOf(relativeNode);
-      if (relation.equals("$+")) {
-        newIndex = index;
-      } else if (relation.equals("$-")) {
-        newIndex = index+1;
-      } else {
-        throw new RuntimeException("Error: Haven't dealt with relation " + relation + " yet.");
-      }
-    }
-    return new Pair<Tree,Integer>(parent,newIndex);
-  }
-
-  @Override
-  public String toString() {
-    return relation + " " + p;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/Tsurgeon.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/Tsurgeon.java
deleted file mode 100644
index d7cdf9d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/Tsurgeon.java
+++ /dev/null
@@ -1,487 +0,0 @@
-// Tsurgeon
-// Copyright (c) 2004-2010 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    Support/Questions: parser-user@lists.stanford.edu
-//    Licensing: parser-support@lists.stanford.edu
-//    http://www-nlp.stanford.edu/software/tregex.shtml
-
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.*;
-import edu.stanford.nlp.trees.tregex.TregexPattern;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-import edu.stanford.nlp.util.StringUtils;
-import edu.stanford.nlp.util.Pair;
-
-import java.util.*;
-import java.util.regex.Pattern;
-import java.util.regex.Matcher;
-import java.io.*;
-
-/** Tsurgeon provides a way of editing trees based on a set of operations that
- *  are applied to tree locations matching a tregex pattern.
- *  A simple example from the command-line:
- *  <blockquote>
- * java edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon -treeFile atree
- *        exciseNP renameVerb
- * </blockquote>
- * The file <code>atree</code> has Penn Treebank (S-expression) format trees.
- * The other (here, two) files have Tsurgeon operations.  These consist of
- * a list of pairs of a tregex expression on one or more
- * lines, a blank line, and then some number of lines of Tsurgeon operations and then
- * another blank line.
- * <p>
- * Tsurgeon uses the Tregex engine to match tree patterns on trees;
- * for more information on Tregex's tree-matching functionality,
- * syntax, and semantics, please see the documentation for the
- * {@link TregexPattern} class.
- * <p>
-
- * If you want to use Tsurgeon as an API, the relevant method is
- * {@link #processPattern}.  You will also need to look at the
- * {@link TsurgeonPattern} class and the {@link Tsurgeon#parseOperation} method.
- * <p>
- * Here's the simplest form of invocation on a single Tree:
- * <pre>
- * Tree t = Tree.valueOf("(ROOT (S (NP (NP (NNP Bank)) (PP (IN of) (NP (NNP America)))) (VP (VBD called)) (. .)))");
- * TregexPattern pat = TregexPattern.compile("NP &lt;1 (NP &lt;&lt; Bank) &lt;2 PP=remove");
- * TsurgeonPattern surgery = Tsurgeon.parseOperation("excise remove remove");
- * Tsurgeon.processPattern(pat, surgery, t).pennPrint();
- * </pre>
- * <p>
- * Here is another sample invocation:
- * <pre>
- * TregexPattern matchPattern = TregexPattern.compile("SQ=sq &lt; (/^WH/ $++ VP)");
- * List&lt;TsurgeonPattern&gt; ps = new ArrayList&lt;TsurgeonPattern&gt;();
- *
- * TsurgeonPattern p = Tsurgeon.parseOperation("relabel sq S");
- *
- * ps.add(p);
- *
- * Treebank lTrees;
- * List&lt;Tree&gt; result = Tsurgeon.processPatternOnTrees(matchPattern,Tsurgeon.collectOperations(ps),lTrees);
- * </pre>
- * <p>
- * <i>Note:</i> If you want to apply multiple surgery patterns, you will not want to call
- * processPatternOnTrees, for each individual pattern.  Rather, you should either call
- * processPatternsOnTree and loop through the trees yourself, or, as above, collect all the
- * surgery patterns into one TsurgeonPattern, and then to call processPatternOnTrees.
- * Either of these latter methods is much faster.
- * <p>
- * For more information on using Tsurgeon from the command line,
- * see the {@link #main} method and the package Javadoc.
- *
- * @author Roger Levy
- */
-public class Tsurgeon {
-
-  private static final boolean DEBUG = false;
-  static boolean verbose; // = false;
-
-  private static final Pattern emptyLinePattern = Pattern.compile("^\\s*$");
-  private static final String commentIntroducingCharacter = "%";
-  private static final Pattern commentPattern = Pattern.compile("(?<!\\\\)%.*$");
-  private static final Pattern escapedCommentCharacterPattern = Pattern.compile("\\\\" + commentIntroducingCharacter);
-
-  private Tsurgeon() {} // not an instantiable class
-
-  /** Usage: java edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon [-s] -treeFile file-with-trees [-po matching-pattern operation] operation-file-1 operation-file-2 ... operation-file-n
-   *
-   * <h4>Arguments:</h4>
-   *
-   * Each argument should be the name of a transformation file that contains a list of pattern
-   * and transformation operation list pairs.  That is, it is a sequence of pairs of a
-   * {@link TregexPattern} pattern on one or more lines, then a
-   * blank line (empty or whitespace), then a list of transformation operations one per line
-   * (as specified by <b>Legal operation syntax</b> below) to apply when the pattern is matched,
-   * and then another blank line (empty or whitespace).
-   * Note the need for blank lines: The code crashes if they are not present as separators
-   * (although the blank line at the end of the file can be omitted).
-   * The script file can include comment lines, either whole comment lines or
-   * trailing comments introduced by %, which extend to the end of line.  A needed percent
-   * mark can be escaped by a preceding backslash.
-   * <p>
-   * For example, if you want to excise an SBARQ node whenever it is the parent of an SQ node,
-   * and relabel the SQ node to S, your transformation file would look like this: 
-   *
-   * <blockquote>
-   * <code>
-   *    SBARQ=n1 &lt; SQ=n2<br>
-   *    <br>
-   *    excise n1 n1<br>
-   *    relabel n2 S
-   * </code>
-   * </blockquote>
-   *
-   * <h4>Options:</h4>
-   * <ul>
-   *   <li><code>-treeFile &#60;filename&#62;</code>  specify the name of the file that has the trees you want to transform.
-   *   <li><code>-po &#60;matchPattern&#62; &#60;operation&#62;</code>  Apply a single operation to every tree using the specified match pattern and the specified operation.  Use this option
-   *   when you want to quickly try the effect of one pattern/surgery combination, and are too lazy to write a transformation file.
-   *   <li><code>-s</code> Print each output tree on one line (default is pretty-printing).
-   *   <li><code>-m</code> For every tree that had a matching pattern, print "before" (prepended as "Operated on:") and "after" (prepended as "Result:").  Unoperated trees just pass through the transducer as usual.
-   *   <li><code>-encoding X</code> Uses character set X for input and output of trees.
-   * </ul>
-   *
-   * <h4>Legal operation syntax:</h4>
-   *
-   * <ul>
-   *   <li><code>delete &#60;name&#62;</code>  deletes the node and everything below it.
-   *   <li><code>prune &#60;name&#62;</code>  Like delete, but if, after the pruning, the parent has no children anymore, the parent is pruned too.
-   * <li><code>excise &#60;name1&#62; &#60;name2&#62;</code>
-   *   The name1 node should either dominate or be the same as the name2 node.  This excises out everything from
-   * name1 to name2.  All the children of name2 go into the parent of name1, where name1 was.
-   * <li><code>relabel &#60;name&#62; &#60;new-label&#62;</code> Relabels the node to have the new label.
-  "    There are three possible forms: <code>relabel nodeX VP</code> - for changing a node label to an alphanumeric string,
-  "    <code>relabel nodeX /''/</code> - for relabeling a node to something that isn't a valid identifier without quoting, and
-  "    <code>relabel nodeX /^VB(.*)$/verb\\/$1/</code> - for regular expression based relabeling. In the last case, all matches +
-  "    of the regular expression against the node label are replaced with the replacement String.  This has the semantics of
-  "    Java/Perl's replaceAll: you may use capturing groups and put them in replacements with $n. Also, as in the example
-  "    you can escape a slash in the middle of the second and third forms with \\/ and \\\\.
-   * <li><code>insert &#60;name&#62; &#60;position&#62;</code> or <code>insert &lt;tree&gt; &#60;position&#62;</code>
-   *   inserts the named node or tree into the position specified.
-   * <li><code>move &#60;name&#62; &#60;position&#62;</code> moves the named node into the specified position
-   * <p>Right now the  only ways to specify position are:
-   * <p>
-   *      <code>$+ &#60;name&#62;</code>     the left sister of the named node<br>
-   *      <code>$- &#60;name&#62;</code>     the right sister of the named node<br>
-   *      <code>&gt;i</code> the i_th daughter of the named node<br>
-   *      <code>&gt;-i</code> the i_th daughter, counting from the right, of the named node.
-   * <li><code>replace &#60;name1&#62; &#60;name2&#62;</code> or <code>replace &#60;name1&#62; &#60;tree&#62;</code>
-   *     deletes name1 and inserts tree or a copy of name2 in its place.
-   * <li><code>adjoin &#60;auxiliary_tree&#62; &lt;name&gt;</code> Adjoins the specified auxiliary tree into the named node.
-   *     The daughters of the target node will become the daughters of the foot of the auxiliary tree.
-   * <li><code>adjoinH &#60;auxiliary_tree&#62; &lt;name&gt;</code> Similar to adjoin, but preserves the target node
-   *     and makes it the root of &lt;tree&gt;. (It is still accessible as <code>name</code>.  The root of the
-   *     auxiliary tree is ignored.)
-   * <li> <code>adjoinF &#60;auxiliary_tree&#62; &lt;name&gt;</code></dt>  Similar to adjoin,
-   *     but preserves the target node and makes it the foot of &lt;tree&gt;.
-   *     (It is still accessible as <code>name</code>, and retains its status as parent of its children.
-   *     The root of the auxiliary tree is ignored.)
-   * <li> <dt><code>coindex &#60;name1&#62; &#60;name2&#62; ... &#60;nameM&#62; </code> Puts a (Penn Treebank style)
-   *     coindexation suffix of the form "-N" on each of nodes name_1 through name_m.  The value of N will be
-   *     automatically generated in reference to the existing coindexations in the tree, so that there is never
-   *     an accidental clash of indices across things that are not meant to be coindexed.
-   * </ul>
-   *
-   * @param args a list of names of files each of which contains a single tregex matching pattern plus a list, one per line,
-   *        of transformation operations to apply to the matched pattern.
-   * @throws Exception If an I/O or pattern syntax error
-   */
-  public static void main(String[] args) throws Exception {
-    String encoding = "UTF-8";
-    String encodingOption = "-encoding";
-    if(args.length==0) {
-      System.err.println("Usage: java edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon [-s] -treeFile <file-with-trees> [-po <matching-pattern> <operation>] <operation-file-1> <operation-file-2> ... <operation-file-n>");
-      System.exit(0);
-    }
-    String treePrintFormats;
-    String singleLineOption = "-s";
-    String verboseOption = "-v";
-    String matchedOption = "-m"; // if set, then print original form of trees that are matched & thus operated on
-    String patternOperationOption = "-po";
-    String treeFileOption = "-treeFile";
-    Map<String,Integer> flagMap = new HashMap<String,Integer>();
-    flagMap.put(patternOperationOption,2);
-    flagMap.put(treeFileOption,1);
-    flagMap.put(singleLineOption,0);
-    flagMap.put(encodingOption,1);
-    Map<String,String[]> argsMap = StringUtils.argsToMap(args,flagMap);
-    args = argsMap.get(null);
-
-    if(argsMap.containsKey(verboseOption))      verbose = true;
-    if(argsMap.containsKey(singleLineOption))   treePrintFormats = "oneline,";   else treePrintFormats = "penn,";
-    if(argsMap.containsKey(encodingOption)) encoding = argsMap.get(encodingOption)[0];
-
-    TreePrint tp = new TreePrint(treePrintFormats, new PennTreebankLanguagePack());
-    PrintWriter pwOut = new PrintWriter(new OutputStreamWriter(System.out,encoding), true);
-    tp.setPrintWriter(pwOut);
-
-    Treebank trees = new DiskTreebank(new TregexPattern.TRegexTreeReaderFactory(), encoding);
-    if (argsMap.containsKey(treeFileOption)) {
-      trees.loadPath(argsMap.get(treeFileOption)[0]);
-    }
-    List<Pair<TregexPattern,TsurgeonPattern>> ops = new ArrayList<Pair<TregexPattern,TsurgeonPattern>>();
-
-
-    if (argsMap.containsKey(patternOperationOption)) {
-      TregexPattern matchPattern = TregexPattern.compile(argsMap.get(patternOperationOption)[0]);
-      TsurgeonPattern p = parseOperation(argsMap.get(patternOperationOption)[1]);
-      ops.add(new Pair<TregexPattern,TsurgeonPattern>(matchPattern,p));
-    } else {
-      for (String arg : args) {
-        List<Pair<TregexPattern,TsurgeonPattern>> pairs = getOperationsFromFile(arg, encoding);
-        for (Pair<TregexPattern,TsurgeonPattern> pair : pairs) {
-          if (verbose) {
-            System.err.println(pair.second());
-          }
-          ops.add(pair);
-        }
-      }
-    }
-
-    for (Tree t : trees ) {
-      Tree original = t.deepCopy();
-      Tree result = processPatternsOnTree(ops, t);
-      if (argsMap.containsKey(matchedOption) && matchedOnTree) {
-        pwOut.println("Operated on: ");
-        displayTree(original,tp,pwOut);
-        pwOut.println("Result: ");
-      }
-      displayTree(result,tp,pwOut);
-    }
-  }
-
-  private static void displayTree(Tree t, TreePrint tp, PrintWriter pw) {
-    if (t==null) {
-      System.out.println("null");
-    } else {
-      tp.printTree(t,pw);
-    }
-  }
-
-  /**
-   * Parses a tsurgeon script text input and compiles a tregex pattern and a list
-   * of tsurgeon operations into a pair.
-   *
-   * @param reader Reader to read patterns from
-   * @return A pair of a tregex and tsurgeon pattern read from a file, or <code>null</code>
-   *    when the operations in the Reader have been exhausted
-   * @throws IOException If any IO problem
-   */
-  public static Pair<TregexPattern, TsurgeonPattern> getOperationFromReader(BufferedReader reader) throws IOException {
-    String patternString = getPatternFromFile(reader);
-    // System.err.println("Read tregex pattern: " + patternString);
-    if ("".equals(patternString)) {
-      return null;
-    }
-    TregexPattern matchPattern;
-    try {
-      matchPattern = TregexPattern.compile(patternString);
-    } catch (edu.stanford.nlp.trees.tregex.ParseException e) {
-      System.err.println("Error parsing your tregex pattern:\n" + patternString);
-      throw new RuntimeException(e);
-    }
-
-    TsurgeonPattern collectedPattern = getTsurgeonOperationsFromReader(reader);
-    return new Pair<TregexPattern,TsurgeonPattern>(matchPattern,collectedPattern);
-  }
-
-  /**
-   * Assumes that we are at the beginning of a tsurgeon script file and gets the string for the
-   * tregex pattern leading the file
-   * @return tregex pattern string
-   */
-  public static String getPatternFromFile(BufferedReader reader) throws IOException {
-    StringBuilder matchString = new StringBuilder();
-    for (String thisLine; (thisLine = reader.readLine()) != null; ) {
-      if (matchString.length() > 0 && emptyLinePattern.matcher(thisLine).matches()) {
-        // A blank line after getting some real content (not just comments or nothing)
-        break;
-      }
-      Matcher m = commentPattern.matcher(thisLine);
-      if (m.matches()) {
-        // delete it
-        thisLine = m.replaceFirst("");
-      }
-      if ( ! emptyLinePattern.matcher(thisLine).matches()) {
-        matchString.append(thisLine);
-      }
-    }
-    return matchString.toString();
-  }
-
-  /**
-   * Assumes the given reader has only tsurgeon operations (not a tregex pattern), and parses
-   * these out, collecting them into one operation.  Stops on a whitespace line.
-   *
-   * @throws IOException
-   */
-  public static TsurgeonPattern getTsurgeonOperationsFromReader(BufferedReader reader) throws IOException {
-    List<TsurgeonPattern> operations = new ArrayList<TsurgeonPattern>();
-    for (String thisLine; (thisLine = reader.readLine()) != null; ) {
-      if (emptyLinePattern.matcher(thisLine).matches()) {
-        break;
-      }
-      thisLine = removeComments(thisLine);
-      if (emptyLinePattern.matcher(thisLine).matches()) {
-        continue;
-      }
-      // System.err.println("Read tsurgeon op: " + thisLine);
-      try {
-        operations.add(TsurgeonParser.parse(thisLine));
-      }
-      catch (ParseException e) {
-        System.err.println("Error parsing your Tsurgeon operation:\n" + thisLine);
-        throw new RuntimeException(e.toString());
-      }
-    }
-    return collectOperations(operations);
-  }
-
-
-  private static String removeComments(String line) {
-    Matcher m = commentPattern.matcher(line);
-    line = m.replaceFirst("");
-    Matcher m1 = escapedCommentCharacterPattern.matcher(line);
-    line = m1.replaceAll(commentIntroducingCharacter);
-    return line;
-  }
-
-
-  /**
-   * Assumes the given reader has only tsurgeon operations (not a tregex pattern), and returns
-   * them as a String, mirroring the way the strings appear in the file. This is helpful
-   * for lazy evaluation of the operations, as in a GUI,
-   * because you do not parse the operations on load.  Comments are still excised.
-   * @throws IOException
-   */
-  public static String getTsurgeonTextFromReader(BufferedReader reader) throws IOException {
-    StringBuilder sb = new StringBuilder();
-    for (String thisLine; (thisLine = reader.readLine()) != null; ) {
-      thisLine = removeComments(thisLine);
-      if (emptyLinePattern.matcher(thisLine).matches()) {
-        continue;
-      }
-      sb.append(thisLine);
-      sb.append('\n');
-    }
-    return sb.toString();
-  }
-
-  /**
-   * Parses a tsurgeon script file and compiles all operations in the file into a list
-   * of pairs of tregex and tsurgeon patterns.
-   *
-   * @param filename file containing the tsurgeon script
-   * @return A pair of a tregex and tsurgeon pattern read from a file
-   * @throws IOException If there is any I/O problem
-   */
-  public static List<Pair<TregexPattern, TsurgeonPattern>> getOperationsFromFile(String filename, String encoding) throws IOException {
-    List<Pair<TregexPattern,TsurgeonPattern>> operations = new ArrayList<Pair<TregexPattern, TsurgeonPattern>>();
-    BufferedReader reader = new BufferedReader(new InputStreamReader(new FileInputStream(filename), encoding));
-    for ( ; ; ) {
-      Pair<TregexPattern, TsurgeonPattern> operation = getOperationFromReader(reader);
-      if (operation == null) {
-        break;
-      }
-      operations.add(operation);
-    }
-    reader.close();
-    return operations;
-  }
-
-  /**
-   * Applies {#processPattern} to a collection of trees.
-   * @param matchPattern A {@link TregexPattern} to be matched against a {@link Tree}.
-   * @param p A {@link TsurgeonPattern} to apply.
-   * @param inputTrees The input trees to be processed
-   * @return A List of the transformed trees
-   */
-  public static List<Tree> processPatternOnTrees(TregexPattern matchPattern, TsurgeonPattern p, Collection<Tree> inputTrees) {
-    List<Tree> result = new ArrayList<Tree>();
-    for (Tree tree : inputTrees)
-      result.add(processPattern(matchPattern,p,tree));
-    return result;
-  }
-
-  /**
-   * Tries to match a pattern against a tree.  If it succeeds, apply the surgical operations contained in a {@link TsurgeonPattern}.
-   * @param matchPattern A {@link TregexPattern} to be matched against a {@link Tree}.
-   * @param p A {@link TsurgeonPattern} to apply.
-   * @param t the {@link Tree} to match against and perform surgery on.
-   * @return t, which has been surgically modified.
-   */
-  public static Tree processPattern(TregexPattern matchPattern, TsurgeonPattern p, Tree t) {
-    TregexMatcher m = matchPattern.matcher(t);
-    while(m.find()) {
-      t = p.evaluate(t,m);
-      if(t==null)
-        break;
-      m = matchPattern.matcher(t);
-    }
-    return t;
-  }
-
-  private static boolean matchedOnTree; // hack-in field for seeing whether there was a match.
-
-  public static Tree processPatternsOnTree(List<Pair<TregexPattern, TsurgeonPattern>> ops, Tree t) {
-    matchedOnTree = false;
-    for (Pair<TregexPattern,TsurgeonPattern> op : ops) {
-      try {
-        if (DEBUG) {
-          System.err.println("Running pattern " + op.first());
-        }
-        TregexMatcher m = op.first().matcher(t);
-        while (m.find()) {
-          matchedOnTree = true;
-          t = op.second().evaluate(t,m);
-          if (t == null) {
-            return null;
-          }
-          m = op.first().matcher(t);
-        }
-      } catch (NullPointerException npe) {
-        throw new RuntimeException("Tsurgeon.processPatternsOnTree failed to match label for pattern: " + op.first() + ", " + op.second(), npe);
-      }
-    }
-    return t;
-  }
-
-
-
-  /**
-   * Parses an operation string into a {@link TsurgeonPattern}.  Throws an {@link IllegalArgumentException} if
-   * the operation string is ill-formed.
-   * <p>
-   * Example of use:
-   * <p>
-   * <tt>
-   * TsurgeonPattern p = Tsurgeon.parseOperation("prune ed");
-   * </tt>
-   * @param operationString The operation to perform, as a text string
-   * @return the operation pattern.
-   */
-  public static TsurgeonPattern parseOperation(String operationString) {
-    try {
-      return new TsurgeonPatternRoot(new TsurgeonPattern[] {TsurgeonParser.parse(operationString)} );
-    }
-    catch(ParseException e) {
-      throw new IllegalArgumentException("Ill-formed operation string: " + operationString, e);
-    }
-  }
-
-  /**
-   * Collects a list of operation patterns into a sequence of operations to be applied.  Required to keep track of global properties
-   * across a sequence of operations.  For example, if you want to insert a named node and then coindex it with another node,
-   * you will need to collect the insertion and coindexation operations into a single TsurgeonPattern so that tsurgeon is aware
-   * of the name of the new node and coindexation becomes possible.
-   * @param patterns a list of {@link TsurgeonPattern} operations that you want to collect together into a single compound operation
-   * @return a new {@link TsurgeonPattern} that performs all the operations in the sequence of the <code>patterns</code> argument
-   */
-  public static TsurgeonPattern collectOperations(List<TsurgeonPattern> patterns) {
-    return new TsurgeonPatternRoot(patterns.toArray(new TsurgeonPattern[patterns.size()]));
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonParser.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonParser.java
deleted file mode 100644
index e252379..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonParser.java
+++ /dev/null
@@ -1,886 +0,0 @@
-/* Generated By:JJTree&JavaCC: Do not edit this line. TsurgeonParser.java */
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import java.io.StringReader;
-import edu.stanford.nlp.trees.*;
-import edu.stanford.nlp.util.Pair;
-import java.util.*;
-
-
-class TsurgeonParser/*@bgen(jjtree)*/implements TsurgeonParserTreeConstants, TsurgeonParserConstants {/*@bgen(jjtree)*/
-  protected static JJTTsurgeonParserState jjtree = new JJTTsurgeonParserState();
-  private static TreeFactory treeFactory = new LabeledScoredTreeFactory();
-
-  static TsurgeonPattern parse(String s) throws ParseException {
-    if (jj_initialized_once) {
-      ReInit(new StringReader(s + "\n"));
-    } else {
-      new TsurgeonParser(new StringReader(s + "\n"));
-    }
-    return Root();
-  }
-
-
-  public static void main(String[] args) {
-    System.out.println("Reading from standard input...");
-    TsurgeonParser t = new TsurgeonParser(System.in);
-    try {
-      TsurgeonPattern n = t.Root();
-      System.out.println(n.toString());
-      System.out.println("Thank you.");
-    } catch (Exception e) {
-      System.out.println("Oops.");
-      System.out.println(e.getMessage());
-      e.printStackTrace();
-    }
-  }
-
-  static final public TsurgeonPattern Root() throws ParseException {
- /*@bgen(jjtree) Root */
-  SimpleNode jjtn000 = new SimpleNode(JJTROOT);
-  boolean jjtc000 = true;
-  jjtree.openNodeScope(jjtn000);TsurgeonPattern result;
-    try {
-      result = Operation();
-      jj_consume_token(24);
-    jjtree.closeNodeScope(jjtn000, true);
-    jjtc000 = false;
-    {if (true) return result;}
-    } catch (Throwable jjte000) {
-    if (jjtc000) {
-      jjtree.clearNodeScope(jjtn000);
-      jjtc000 = false;
-    } else {
-      jjtree.popNode();
-    }
-    if (jjte000 instanceof RuntimeException) {
-      {if (true) throw (RuntimeException)jjte000;}
-    }
-    if (jjte000 instanceof ParseException) {
-      {if (true) throw (ParseException)jjte000;}
-    }
-    {if (true) throw (Error)jjte000;}
-    } finally {
-    if (jjtc000) {
-      jjtree.closeNodeScope(jjtn000, true);
-    }
-    }
-    throw new Error("Missing return statement in function");
-  }
-
-  static final public TsurgeonPattern Operation() throws ParseException {
- /*@bgen(jjtree) Operation */
-  SimpleNode jjtn000 = new SimpleNode(JJTOPERATION);
-  boolean jjtc000 = true;
-  jjtree.openNodeScope(jjtn000);TsurgeonPattern child1;
-  TsurgeonPattern child2 = null;
-  Token newLabel = null;
-  TreeLocation loc = null;
-  Token operator;
-  AuxiliaryTree tree = null;
-  List nodeSelections = null;
-  Token regex;
-  Token hash_int;
-    try {
-      switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-      case DELETE:
-        operator = jj_consume_token(DELETE);
-        nodeSelections = NodeSelectionList(new ArrayList());
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new DeleteNode(nodeSelections);}
-        break;
-      case PRUNE:
-        operator = jj_consume_token(PRUNE);
-        nodeSelections = NodeSelectionList(new ArrayList());
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new PruneNode(nodeSelections);}
-        break;
-      case EXCISE:
-        operator = jj_consume_token(EXCISE);
-        child1 = NodeSelection();
-        child2 = NodeSelection();
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new ExciseNode(child1,child2);}
-        break;
-      default:
-        jj_la1[0] = jj_gen;
-        if (jj_2_1(3)) {
-          operator = jj_consume_token(RELABEL);
-          child1 = NodeSelection();
-          newLabel = jj_consume_token(IDENTIFIER);
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new RelabelNode(child1,newLabel.image);}
-        } else if (jj_2_2(3)) {
-          operator = jj_consume_token(RELABEL);
-          child1 = NodeSelection();
-          newLabel = jj_consume_token(QUOTEX);
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new RelabelNode(child1, newLabel.image);}
-        } else {
-          switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-          case RELABEL:
-            operator = jj_consume_token(RELABEL);
-            child1 = NodeSelection();
-            regex = jj_consume_token(REGEX);
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new RelabelNode(child1, regex.image);}
-            break;
-          default:
-            jj_la1[1] = jj_gen;
-            if (jj_2_3(2)) {
-              operator = jj_consume_token(REPLACE);
-              child1 = NodeSelection();
-              tree = TreeRoot(false);
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new ReplaceNode(child1,tree);}
-            } else {
-              switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-              case REPLACE:
-                operator = jj_consume_token(REPLACE);
-                child1 = NodeSelection();
-                child2 = NodeSelection();
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new ReplaceNode(child1,child2);}
-                break;
-              case MOVE:
-                operator = jj_consume_token(MOVE);
-                child1 = NodeSelection();
-                loc = Location();
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new MoveNode(child1, loc);}
-                break;
-              default:
-                jj_la1[2] = jj_gen;
-                if (jj_2_4(2)) {
-                  operator = jj_consume_token(INSERT);
-                  child1 = NodeSelection();
-                  loc = Location();
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new InsertNode(child1, loc);}
-                } else {
-                  switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-                  case INSERT:
-                    operator = jj_consume_token(INSERT);
-                    tree = TreeRoot(false);
-                    loc = Location();
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new InsertNode(tree, loc);}
-                    break;
-                  case ADJOIN:
-                    operator = jj_consume_token(ADJOIN);
-                    tree = TreeRoot(true);
-                    child1 = NodeSelection();
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new AdjoinNode(tree, child1);}
-                    break;
-                  case ADJOIN_TO_HEAD:
-                    operator = jj_consume_token(ADJOIN_TO_HEAD);
-                    tree = TreeRoot(true);
-                    child1 = NodeSelection();
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new AdjoinToHeadNode(tree, child1);}
-                    break;
-                  case ADJOIN_TO_FOOT:
-                    operator = jj_consume_token(ADJOIN_TO_FOOT);
-                    tree = TreeRoot(true);
-                    child1 = NodeSelection();
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new AdjoinToFootNode(tree, child1);}
-                    break;
-                  case COINDEX:
-                    operator = jj_consume_token(COINDEX);
-                    nodeSelections = NodeSelectionList(new ArrayList());
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new CoindexNodes((TsurgeonPattern[]) nodeSelections.toArray(new TsurgeonPattern[] {}));}
-                    break;
-                  default:
-                    jj_la1[3] = jj_gen;
-                    jj_consume_token(-1);
-                    throw new ParseException();
-                  }
-                }
-              }
-            }
-          }
-        }
-      }
-    } catch (Throwable jjte000) {
-    if (jjtc000) {
-      jjtree.clearNodeScope(jjtn000);
-      jjtc000 = false;
-    } else {
-      jjtree.popNode();
-    }
-    if (jjte000 instanceof RuntimeException) {
-      {if (true) throw (RuntimeException)jjte000;}
-    }
-    if (jjte000 instanceof ParseException) {
-      {if (true) throw (ParseException)jjte000;}
-    }
-    {if (true) throw (Error)jjte000;}
-    } finally {
-    if (jjtc000) {
-      jjtree.closeNodeScope(jjtn000, true);
-    }
-    }
-    throw new Error("Missing return statement in function");
-  }
-
-  static final public TreeLocation Location() throws ParseException {
- /*@bgen(jjtree) Location */
-  SimpleNode jjtn000 = new SimpleNode(JJTLOCATION);
-  boolean jjtc000 = true;
-  jjtree.openNodeScope(jjtn000);Token rel;
-  TsurgeonPattern child;
-    try {
-      rel = jj_consume_token(LOCATION_RELATION);
-      child = NodeSelection();
-     jjtree.closeNodeScope(jjtn000, true);
-     jjtc000 = false;
-     {if (true) return new TreeLocation(rel.image, child);}
-    } catch (Throwable jjte000) {
-   if (jjtc000) {
-     jjtree.clearNodeScope(jjtn000);
-     jjtc000 = false;
-   } else {
-     jjtree.popNode();
-   }
-   if (jjte000 instanceof RuntimeException) {
-     {if (true) throw (RuntimeException)jjte000;}
-   }
-   if (jjte000 instanceof ParseException) {
-     {if (true) throw (ParseException)jjte000;}
-   }
-   {if (true) throw (Error)jjte000;}
-    } finally {
-   if (jjtc000) {
-     jjtree.closeNodeScope(jjtn000, true);
-   }
-    }
-    throw new Error("Missing return statement in function");
-  }
-
-  static final public List NodeSelectionList(List l) throws ParseException {
- /*@bgen(jjtree) NodeSelectionList */
-  SimpleNode jjtn000 = new SimpleNode(JJTNODESELECTIONLIST);
-  boolean jjtc000 = true;
-  jjtree.openNodeScope(jjtn000);TsurgeonPattern result;
-    try {
-      result = NodeSelection();
-                                  l.add(result);
-      label_1:
-      while (true) {
-        switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-        case IDENTIFIER:
-          ;
-          break;
-        default:
-          jj_la1[4] = jj_gen;
-          break label_1;
-        }
-        result = NodeSelection();
-                                 l.add(result);
-      }
-     jjtree.closeNodeScope(jjtn000, true);
-     jjtc000 = false;
-     {if (true) return l;}
-    } catch (Throwable jjte000) {
-   if (jjtc000) {
-     jjtree.clearNodeScope(jjtn000);
-     jjtc000 = false;
-   } else {
-     jjtree.popNode();
-   }
-   if (jjte000 instanceof RuntimeException) {
-     {if (true) throw (RuntimeException)jjte000;}
-   }
-   if (jjte000 instanceof ParseException) {
-     {if (true) throw (ParseException)jjte000;}
-   }
-   {if (true) throw (Error)jjte000;}
-    } finally {
-   if (jjtc000) {
-     jjtree.closeNodeScope(jjtn000, true);
-   }
-    }
-    throw new Error("Missing return statement in function");
-  }
-
-// we'll also put in a way to use a SELECTION with a list of nodes.
-  static final public TsurgeonPattern NodeSelection() throws ParseException {
- /*@bgen(jjtree) NodeSelection */
-  SimpleNode jjtn000 = new SimpleNode(JJTNODESELECTION);
-  boolean jjtc000 = true;
-  jjtree.openNodeScope(jjtn000);TsurgeonPattern result;
-    try {
-      result = NodeName();
-    jjtree.closeNodeScope(jjtn000, true);
-    jjtc000 = false;
-    {if (true) return result;}
-    } catch (Throwable jjte000) {
-    if (jjtc000) {
-      jjtree.clearNodeScope(jjtn000);
-      jjtc000 = false;
-    } else {
-      jjtree.popNode();
-    }
-    if (jjte000 instanceof RuntimeException) {
-      {if (true) throw (RuntimeException)jjte000;}
-    }
-    if (jjte000 instanceof ParseException) {
-      {if (true) throw (ParseException)jjte000;}
-    }
-    {if (true) throw (Error)jjte000;}
-    } finally {
-    if (jjtc000) {
-      jjtree.closeNodeScope(jjtn000, true);
-    }
-    }
-    throw new Error("Missing return statement in function");
-  }
-
-  static final public TsurgeonPattern NodeName() throws ParseException {
- /*@bgen(jjtree) NodeName */
-  SimpleNode jjtn000 = new SimpleNode(JJTNODENAME);
-  boolean jjtc000 = true;
-  jjtree.openNodeScope(jjtn000);Token t;
-    try {
-      t = jj_consume_token(IDENTIFIER);
-    jjtree.closeNodeScope(jjtn000, true);
-    jjtc000 = false;
-    {if (true) return new FetchNode(t.image);}
-    } finally {
-    if (jjtc000) {
-      jjtree.closeNodeScope(jjtn000, true);
-    }
-    }
-    throw new Error("Missing return statement in function");
-  }
-
-// the argument says whether there must be a foot node on the aux tree.
-  static final public AuxiliaryTree TreeRoot(boolean requiresFoot) throws ParseException {
- /*@bgen(jjtree) TreeRoot */
-  SimpleNode jjtn000 = new SimpleNode(JJTTREEROOT);
-  boolean jjtc000 = true;
-  jjtree.openNodeScope(jjtn000);Tree t;
-    try {
-      t = TreeNode();
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return new AuxiliaryTree(t,requiresFoot);}
-    } catch (Throwable jjte000) {
-    if (jjtc000) {
-      jjtree.clearNodeScope(jjtn000);
-      jjtc000 = false;
-    } else {
-      jjtree.popNode();
-    }
-    if (jjte000 instanceof RuntimeException) {
-      {if (true) throw (RuntimeException)jjte000;}
-    }
-    if (jjte000 instanceof ParseException) {
-      {if (true) throw (ParseException)jjte000;}
-    }
-    {if (true) throw (Error)jjte000;}
-    } finally {
-    if (jjtc000) {
-      jjtree.closeNodeScope(jjtn000, true);
-    }
-    }
-    throw new Error("Missing return statement in function");
-  }
-
-  static final public Tree TreeNode() throws ParseException {
- /*@bgen(jjtree) TreeNode */
- SimpleNode jjtn000 = new SimpleNode(JJTTREENODE);
- boolean jjtc000 = true;
- jjtree.openNodeScope(jjtn000);Token label;
- List dtrs = null;
-    try {
-      switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-      case TREE_NODE_NONTERMINAL_LABEL:
-        label = jj_consume_token(TREE_NODE_NONTERMINAL_LABEL);
-        dtrs = TreeDtrs(new ArrayList());
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return treeFactory.newTreeNode(label.image.substring(1),dtrs);}
-        break;
-      case IDENTIFIER:
-      case TREE_NODE_TERMINAL_LABEL:
-        switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-        case TREE_NODE_TERMINAL_LABEL:
-          label = jj_consume_token(TREE_NODE_TERMINAL_LABEL);
-          break;
-        case IDENTIFIER:
-          label = jj_consume_token(IDENTIFIER);
-          break;
-        default:
-          jj_la1[5] = jj_gen;
-          jj_consume_token(-1);
-          throw new ParseException();
-        }
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-      {if (true) return treeFactory.newTreeNode(label.image,new ArrayList());}
-        break;
-      default:
-        jj_la1[6] = jj_gen;
-        jj_consume_token(-1);
-        throw new ParseException();
-      }
-    } catch (Throwable jjte000) {
-   if (jjtc000) {
-     jjtree.clearNodeScope(jjtn000);
-     jjtc000 = false;
-   } else {
-     jjtree.popNode();
-   }
-   if (jjte000 instanceof RuntimeException) {
-     {if (true) throw (RuntimeException)jjte000;}
-   }
-   if (jjte000 instanceof ParseException) {
-     {if (true) throw (ParseException)jjte000;}
-   }
-   {if (true) throw (Error)jjte000;}
-    } finally {
-   if (jjtc000) {
-     jjtree.closeNodeScope(jjtn000, true);
-   }
-    }
-    throw new Error("Missing return statement in function");
-  }
-
-  static final public List TreeDtrs(List dtrs) throws ParseException {
- /*@bgen(jjtree) TreeDtrs */
-  SimpleNode jjtn000 = new SimpleNode(JJTTREEDTRS);
-  boolean jjtc000 = true;
-  jjtree.openNodeScope(jjtn000);Tree tree;
-    try {
-      switch ((jj_ntk==-1)?jj_ntk():jj_ntk) {
-      case IDENTIFIER:
-      case TREE_NODE_TERMINAL_LABEL:
-      case TREE_NODE_NONTERMINAL_LABEL:
-        tree = TreeNode();
-        TreeDtrs(dtrs);
-      jjtree.closeNodeScope(jjtn000, true);
-      jjtc000 = false;
-     dtrs.add(0,tree); {if (true) return dtrs;}
-        break;
-      case 25:
-        jj_consume_token(25);
-    jjtree.closeNodeScope(jjtn000, true);
-    jjtc000 = false;
-   {if (true) return dtrs;}
-        break;
-      default:
-        jj_la1[7] = jj_gen;
-        jj_consume_token(-1);
-        throw new ParseException();
-      }
-    } catch (Throwable jjte000) {
-    if (jjtc000) {
-      jjtree.clearNodeScope(jjtn000);
-      jjtc000 = false;
-    } else {
-      jjtree.popNode();
-    }
-    if (jjte000 instanceof RuntimeException) {
-      {if (true) throw (RuntimeException)jjte000;}
-    }
-    if (jjte000 instanceof ParseException) {
-      {if (true) throw (ParseException)jjte000;}
-    }
-    {if (true) throw (Error)jjte000;}
-    } finally {
-    if (jjtc000) {
-      jjtree.closeNodeScope(jjtn000, true);
-    }
-    }
-    throw new Error("Missing return statement in function");
-  }
-
-  static private boolean jj_2_1(int xla) {
-    jj_la = xla; jj_lastpos = jj_scanpos = token;
-    try { return !jj_3_1(); }
-    catch(LookaheadSuccess ls) { return true; }
-    finally { jj_save(0, xla); }
-  }
-
-  static private boolean jj_2_2(int xla) {
-    jj_la = xla; jj_lastpos = jj_scanpos = token;
-    try { return !jj_3_2(); }
-    catch(LookaheadSuccess ls) { return true; }
-    finally { jj_save(1, xla); }
-  }
-
-  static private boolean jj_2_3(int xla) {
-    jj_la = xla; jj_lastpos = jj_scanpos = token;
-    try { return !jj_3_3(); }
-    catch(LookaheadSuccess ls) { return true; }
-    finally { jj_save(2, xla); }
-  }
-
-  static private boolean jj_2_4(int xla) {
-    jj_la = xla; jj_lastpos = jj_scanpos = token;
-    try { return !jj_3_4(); }
-    catch(LookaheadSuccess ls) { return true; }
-    finally { jj_save(3, xla); }
-  }
-
-  static private boolean jj_3R_2() {
-    if (jj_3R_3()) return true;
-    return false;
-  }
-
-  static private boolean jj_3R_3() {
-    if (jj_scan_token(IDENTIFIER)) return true;
-    return false;
-  }
-
-  static private boolean jj_3_1() {
-    if (jj_scan_token(RELABEL)) return true;
-    if (jj_3R_2()) return true;
-    if (jj_scan_token(IDENTIFIER)) return true;
-    return false;
-  }
-
-  static private boolean jj_3_3() {
-    if (jj_scan_token(REPLACE)) return true;
-    if (jj_3R_2()) return true;
-    return false;
-  }
-
-  static private boolean jj_3_4() {
-    if (jj_scan_token(INSERT)) return true;
-    if (jj_3R_2()) return true;
-    return false;
-  }
-
-  static private boolean jj_3_2() {
-    if (jj_scan_token(RELABEL)) return true;
-    if (jj_3R_2()) return true;
-    if (jj_scan_token(QUOTEX)) return true;
-    return false;
-  }
-
-  static private boolean jj_initialized_once = false;
-  /** Generated Token Manager. */
-  static public TsurgeonParserTokenManager token_source;
-  static SimpleCharStream jj_input_stream;
-  /** Current token. */
-  static public Token token;
-  /** Next token. */
-  static public Token jj_nt;
-  static private int jj_ntk;
-  static private Token jj_scanpos, jj_lastpos;
-  static private int jj_la;
-  static private int jj_gen;
-  static final private int[] jj_la1 = new int[8];
-  static private int[] jj_la1_0;
-  static {
-      jj_la1_init_0();
-   }
-   private static void jj_la1_init_0() {
-      jj_la1_0 = new int[] {0xb0,0x40,0x600,0x7900,0x10000,0x410000,0xc10000,0x2c10000,};
-   }
-  static final private JJCalls[] jj_2_rtns = new JJCalls[4];
-  static private boolean jj_rescan = false;
-  static private int jj_gc = 0;
-
-  /** Constructor with InputStream. */
-  public TsurgeonParser(java.io.InputStream stream) {
-     this(stream, null);
-  }
-  /** Constructor with InputStream and supplied encoding */
-  public TsurgeonParser(java.io.InputStream stream, String encoding) {
-    if (jj_initialized_once) {
-      System.out.println("ERROR: Second call to constructor of static parser.  ");
-      System.out.println("       You must either use ReInit() or set the JavaCC option STATIC to false");
-      System.out.println("       during parser generation.");
-      throw new Error();
-    }
-    jj_initialized_once = true;
-    try { jj_input_stream = new SimpleCharStream(stream, encoding, 1, 1); } catch(java.io.UnsupportedEncodingException e) { throw new RuntimeException(e); }
-    token_source = new TsurgeonParserTokenManager(jj_input_stream);
-    token = new Token();
-    jj_ntk = -1;
-    jj_gen = 0;
-    for (int i = 0; i < 8; i++) jj_la1[i] = -1;
-    for (int i = 0; i < jj_2_rtns.length; i++) jj_2_rtns[i] = new JJCalls();
-  }
-
-  /** Reinitialise. */
-  static public void ReInit(java.io.InputStream stream) {
-     ReInit(stream, null);
-  }
-  /** Reinitialise. */
-  static public void ReInit(java.io.InputStream stream, String encoding) {
-    try { jj_input_stream.ReInit(stream, encoding, 1, 1); } catch(java.io.UnsupportedEncodingException e) { throw new RuntimeException(e); }
-    token_source.ReInit(jj_input_stream);
-    token = new Token();
-    jj_ntk = -1;
-    jjtree.reset();
-    jj_gen = 0;
-    for (int i = 0; i < 8; i++) jj_la1[i] = -1;
-    for (int i = 0; i < jj_2_rtns.length; i++) jj_2_rtns[i] = new JJCalls();
-  }
-
-  /** Constructor. */
-  public TsurgeonParser(java.io.Reader stream) {
-    if (jj_initialized_once) {
-      System.out.println("ERROR: Second call to constructor of static parser. ");
-      System.out.println("       You must either use ReInit() or set the JavaCC option STATIC to false");
-      System.out.println("       during parser generation.");
-      throw new Error();
-    }
-    jj_initialized_once = true;
-    jj_input_stream = new SimpleCharStream(stream, 1, 1);
-    token_source = new TsurgeonParserTokenManager(jj_input_stream);
-    token = new Token();
-    jj_ntk = -1;
-    jj_gen = 0;
-    for (int i = 0; i < 8; i++) jj_la1[i] = -1;
-    for (int i = 0; i < jj_2_rtns.length; i++) jj_2_rtns[i] = new JJCalls();
-  }
-
-  /** Reinitialise. */
-  static public void ReInit(java.io.Reader stream) {
-    jj_input_stream.ReInit(stream, 1, 1);
-    token_source.ReInit(jj_input_stream);
-    token = new Token();
-    jj_ntk = -1;
-    jjtree.reset();
-    jj_gen = 0;
-    for (int i = 0; i < 8; i++) jj_la1[i] = -1;
-    for (int i = 0; i < jj_2_rtns.length; i++) jj_2_rtns[i] = new JJCalls();
-  }
-
-  /** Constructor with generated Token Manager. */
-  public TsurgeonParser(TsurgeonParserTokenManager tm) {
-    if (jj_initialized_once) {
-      System.out.println("ERROR: Second call to constructor of static parser. ");
-      System.out.println("       You must either use ReInit() or set the JavaCC option STATIC to false");
-      System.out.println("       during parser generation.");
-      throw new Error();
-    }
-    jj_initialized_once = true;
-    token_source = tm;
-    token = new Token();
-    jj_ntk = -1;
-    jj_gen = 0;
-    for (int i = 0; i < 8; i++) jj_la1[i] = -1;
-    for (int i = 0; i < jj_2_rtns.length; i++) jj_2_rtns[i] = new JJCalls();
-  }
-
-  /** Reinitialise. */
-  public void ReInit(TsurgeonParserTokenManager tm) {
-    token_source = tm;
-    token = new Token();
-    jj_ntk = -1;
-    jjtree.reset();
-    jj_gen = 0;
-    for (int i = 0; i < 8; i++) jj_la1[i] = -1;
-    for (int i = 0; i < jj_2_rtns.length; i++) jj_2_rtns[i] = new JJCalls();
-  }
-
-  static private Token jj_consume_token(int kind) throws ParseException {
-    Token oldToken;
-    if ((oldToken = token).next != null) token = token.next;
-    else token = token.next = token_source.getNextToken();
-    jj_ntk = -1;
-    if (token.kind == kind) {
-      jj_gen++;
-      if (++jj_gc > 100) {
-        jj_gc = 0;
-        for (int i = 0; i < jj_2_rtns.length; i++) {
-          JJCalls c = jj_2_rtns[i];
-          while (c != null) {
-            if (c.gen < jj_gen) c.first = null;
-            c = c.next;
-          }
-        }
-      }
-      return token;
-    }
-    token = oldToken;
-    jj_kind = kind;
-    throw generateParseException();
-  }
-
-  static private final class LookaheadSuccess extends java.lang.Error { }
-  static final private LookaheadSuccess jj_ls = new LookaheadSuccess();
-  static private boolean jj_scan_token(int kind) {
-    if (jj_scanpos == jj_lastpos) {
-      jj_la--;
-      if (jj_scanpos.next == null) {
-        jj_lastpos = jj_scanpos = jj_scanpos.next = token_source.getNextToken();
-      } else {
-        jj_lastpos = jj_scanpos = jj_scanpos.next;
-      }
-    } else {
-      jj_scanpos = jj_scanpos.next;
-    }
-    if (jj_rescan) {
-      int i = 0; Token tok = token;
-      while (tok != null && tok != jj_scanpos) { i++; tok = tok.next; }
-      if (tok != null) jj_add_error_token(kind, i);
-    }
-    if (jj_scanpos.kind != kind) return true;
-    if (jj_la == 0 && jj_scanpos == jj_lastpos) throw jj_ls;
-    return false;
-  }
-
-
-/** Get the next Token. */
-  static final public Token getNextToken() {
-    if (token.next != null) token = token.next;
-    else token = token.next = token_source.getNextToken();
-    jj_ntk = -1;
-    jj_gen++;
-    return token;
-  }
-
-/** Get the specific Token. */
-  static final public Token getToken(int index) {
-    Token t = token;
-    for (int i = 0; i < index; i++) {
-      if (t.next != null) t = t.next;
-      else t = t.next = token_source.getNextToken();
-    }
-    return t;
-  }
-
-  static private int jj_ntk() {
-    if ((jj_nt=token.next) == null)
-      return (jj_ntk = (token.next=token_source.getNextToken()).kind);
-    else
-      return (jj_ntk = jj_nt.kind);
-  }
-
-  static private java.util.List jj_expentries = new java.util.ArrayList();
-  static private int[] jj_expentry;
-  static private int jj_kind = -1;
-  static private int[] jj_lasttokens = new int[100];
-  static private int jj_endpos;
-
-  static private void jj_add_error_token(int kind, int pos) {
-    if (pos >= 100) return;
-    if (pos == jj_endpos + 1) {
-      jj_lasttokens[jj_endpos++] = kind;
-    } else if (jj_endpos != 0) {
-      jj_expentry = new int[jj_endpos];
-      for (int i = 0; i < jj_endpos; i++) {
-        jj_expentry[i] = jj_lasttokens[i];
-      }
-      jj_entries_loop: for (java.util.Iterator it = jj_expentries.iterator(); it.hasNext();) {
-        int[] oldentry = (int[])(it.next());
-        if (oldentry.length == jj_expentry.length) {
-          for (int i = 0; i < jj_expentry.length; i++) {
-            if (oldentry[i] != jj_expentry[i]) {
-              continue jj_entries_loop;
-            }
-          }
-          jj_expentries.add(jj_expentry);
-          break jj_entries_loop;
-        }
-      }
-      if (pos != 0) jj_lasttokens[(jj_endpos = pos) - 1] = kind;
-    }
-  }
-
-  /** Generate ParseException. */
-  static public ParseException generateParseException() {
-    jj_expentries.clear();
-    boolean[] la1tokens = new boolean[26];
-    if (jj_kind >= 0) {
-      la1tokens[jj_kind] = true;
-      jj_kind = -1;
-    }
-    for (int i = 0; i < 8; i++) {
-      if (jj_la1[i] == jj_gen) {
-        for (int j = 0; j < 32; j++) {
-          if ((jj_la1_0[i] & (1<<j)) != 0) {
-            la1tokens[j] = true;
-          }
-        }
-      }
-    }
-    for (int i = 0; i < 26; i++) {
-      if (la1tokens[i]) {
-        jj_expentry = new int[1];
-        jj_expentry[0] = i;
-        jj_expentries.add(jj_expentry);
-      }
-    }
-    jj_endpos = 0;
-    jj_rescan_token();
-    jj_add_error_token(0, 0);
-    int[][] exptokseq = new int[jj_expentries.size()][];
-    for (int i = 0; i < jj_expentries.size(); i++) {
-      exptokseq[i] = (int[])jj_expentries.get(i);
-    }
-    return new ParseException(token, exptokseq, tokenImage);
-  }
-
-  /** Enable tracing. */
-  static final public void enable_tracing() {
-  }
-
-  /** Disable tracing. */
-  static final public void disable_tracing() {
-  }
-
-  static private void jj_rescan_token() {
-    jj_rescan = true;
-    for (int i = 0; i < 4; i++) {
-    try {
-      JJCalls p = jj_2_rtns[i];
-      do {
-        if (p.gen > jj_gen) {
-          jj_la = p.arg; jj_lastpos = jj_scanpos = p.first;
-          switch (i) {
-            case 0: jj_3_1(); break;
-            case 1: jj_3_2(); break;
-            case 2: jj_3_3(); break;
-            case 3: jj_3_4(); break;
-          }
-        }
-        p = p.next;
-      } while (p != null);
-      } catch(LookaheadSuccess ls) { }
-    }
-    jj_rescan = false;
-  }
-
-  static private void jj_save(int index, int xla) {
-    JJCalls p = jj_2_rtns[index];
-    while (p.gen > jj_gen) {
-      if (p.next == null) { p = p.next = new JJCalls(); break; }
-      p = p.next;
-    }
-    p.gen = jj_gen + xla - jj_la; p.first = token; p.arg = xla;
-  }
-
-  static final class JJCalls {
-    int gen;
-    Token first;
-    int arg;
-    JJCalls next;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonParserConstants.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonParserConstants.java
deleted file mode 100644
index 0461e1b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonParserConstants.java
+++ /dev/null
@@ -1,87 +0,0 @@
-/* Generated By:JJTree&JavaCC: Do not edit this line. TsurgeonParserConstants.java */
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-
-/**
- * Token literal values and constants.
- * Generated by org.javacc.parser.OtherFilesGen#start()
- */
-public interface TsurgeonParserConstants {
-
-  /** End of File. */
-  int EOF = 0;
-  /** RegularExpression Id. */
-  int DELETE = 4;
-  /** RegularExpression Id. */
-  int PRUNE = 5;
-  /** RegularExpression Id. */
-  int RELABEL = 6;
-  /** RegularExpression Id. */
-  int EXCISE = 7;
-  /** RegularExpression Id. */
-  int INSERT = 8;
-  /** RegularExpression Id. */
-  int MOVE = 9;
-  /** RegularExpression Id. */
-  int REPLACE = 10;
-  /** RegularExpression Id. */
-  int ADJOIN = 11;
-  /** RegularExpression Id. */
-  int ADJOIN_TO_HEAD = 12;
-  /** RegularExpression Id. */
-  int ADJOIN_TO_FOOT = 13;
-  /** RegularExpression Id. */
-  int COINDEX = 14;
-  /** RegularExpression Id. */
-  int SELECTION = 15;
-  /** RegularExpression Id. */
-  int IDENTIFIER = 16;
-  /** RegularExpression Id. */
-  int LABEL = 17;
-  /** RegularExpression Id. */
-  int LOCATION_RELATION = 18;
-  /** RegularExpression Id. */
-  int REGEX = 19;
-  /** RegularExpression Id. */
-  int QUOTEX = 20;
-  /** RegularExpression Id. */
-  int HASH_INTEGER = 21;
-  /** RegularExpression Id. */
-  int TREE_NODE_TERMINAL_LABEL = 22;
-  /** RegularExpression Id. */
-  int TREE_NODE_NONTERMINAL_LABEL = 23;
-
-  /** Lexical state. */
-  int DEFAULT = 0;
-
-  /** Literal token values. */
-  String[] tokenImage = {
-    "<EOF>",
-    "\" \"",
-    "\"\\r\"",
-    "\"\\t\"",
-    "\"delete\"",
-    "\"prune\"",
-    "\"relabel\"",
-    "\"excise\"",
-    "\"insert\"",
-    "\"move\"",
-    "\"replace\"",
-    "\"adjoin\"",
-    "\"adjoinH\"",
-    "\"adjoinF\"",
-    "\"coindex\"",
-    "<SELECTION>",
-    "<IDENTIFIER>",
-    "<LABEL>",
-    "<LOCATION_RELATION>",
-    "<REGEX>",
-    "<QUOTEX>",
-    "<HASH_INTEGER>",
-    "<TREE_NODE_TERMINAL_LABEL>",
-    "<TREE_NODE_NONTERMINAL_LABEL>",
-    "\"\\n\"",
-    "\")\"",
-  };
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonParserTokenManager.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonParserTokenManager.java
deleted file mode 100644
index b07c030..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonParserTokenManager.java
+++ /dev/null
@@ -1,876 +0,0 @@
-/* Generated By:JJTree&JavaCC: Do not edit this line. TsurgeonParserTokenManager.java */
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-import java.io.StringReader;
-import edu.stanford.nlp.trees.*;
-import edu.stanford.nlp.util.Pair;
-import java.util.*;
-
-/** Token Manager. */
-public class TsurgeonParserTokenManager implements TsurgeonParserConstants
-{
-
-  /** Debug output. */
-  public static  java.io.PrintStream debugStream = System.out;
-  /** Set debug output. */
-  public static  void setDebugStream(java.io.PrintStream ds) { debugStream = ds; }
-private static final int jjStopStringLiteralDfa_0(int pos, long active0)
-{
-   switch (pos)
-   {
-      case 0:
-         if ((active0 & 0x7ff0L) != 0L)
-         {
-            jjmatchedKind = 16;
-            return 42;
-         }
-         return -1;
-      case 1:
-         if ((active0 & 0x7ff0L) != 0L)
-         {
-            jjmatchedKind = 16;
-            jjmatchedPos = 1;
-            return 42;
-         }
-         return -1;
-      case 2:
-         if ((active0 & 0x7ff0L) != 0L)
-         {
-            jjmatchedKind = 16;
-            jjmatchedPos = 2;
-            return 42;
-         }
-         return -1;
-      case 3:
-         if ((active0 & 0x7df0L) != 0L)
-         {
-            jjmatchedKind = 16;
-            jjmatchedPos = 3;
-            return 42;
-         }
-         if ((active0 & 0x200L) != 0L)
-            return 42;
-         return -1;
-      case 4:
-         if ((active0 & 0x7dd0L) != 0L)
-         {
-            jjmatchedKind = 16;
-            jjmatchedPos = 4;
-            return 42;
-         }
-         if ((active0 & 0x20L) != 0L)
-            return 42;
-         return -1;
-      case 5:
-         if ((active0 & 0x4440L) != 0L)
-         {
-            if (jjmatchedPos != 5)
-            {
-               jjmatchedKind = 16;
-               jjmatchedPos = 5;
-            }
-            return 42;
-         }
-         if ((active0 & 0x3990L) != 0L)
-            return 42;
-         return -1;
-      default :
-         return -1;
-   }
-}
-private static final int jjStartNfa_0(int pos, long active0)
-{
-   return jjMoveNfa_0(jjStopStringLiteralDfa_0(pos, active0), pos + 1);
-}
-static private int jjStopAtPos(int pos, int kind)
-{
-   jjmatchedKind = kind;
-   jjmatchedPos = pos;
-   return pos + 1;
-}
-static private int jjMoveStringLiteralDfa0_0()
-{
-   switch(curChar)
-   {
-      case 10:
-         return jjStopAtPos(0, 24);
-      case 41:
-         return jjStopAtPos(0, 25);
-      case 97:
-         return jjMoveStringLiteralDfa1_0(0x3800L);
-      case 99:
-         return jjMoveStringLiteralDfa1_0(0x4000L);
-      case 100:
-         return jjMoveStringLiteralDfa1_0(0x10L);
-      case 101:
-         return jjMoveStringLiteralDfa1_0(0x80L);
-      case 105:
-         return jjMoveStringLiteralDfa1_0(0x100L);
-      case 109:
-         return jjMoveStringLiteralDfa1_0(0x200L);
-      case 112:
-         return jjMoveStringLiteralDfa1_0(0x20L);
-      case 114:
-         return jjMoveStringLiteralDfa1_0(0x440L);
-      default :
-         return jjMoveNfa_0(0, 0);
-   }
-}
-static private int jjMoveStringLiteralDfa1_0(long active0)
-{
-   try { curChar = input_stream.readChar(); }
-   catch(java.io.IOException e) {
-      jjStopStringLiteralDfa_0(0, active0);
-      return 1;
-   }
-   switch(curChar)
-   {
-      case 100:
-         return jjMoveStringLiteralDfa2_0(active0, 0x3800L);
-      case 101:
-         return jjMoveStringLiteralDfa2_0(active0, 0x450L);
-      case 110:
-         return jjMoveStringLiteralDfa2_0(active0, 0x100L);
-      case 111:
-         return jjMoveStringLiteralDfa2_0(active0, 0x4200L);
-      case 114:
-         return jjMoveStringLiteralDfa2_0(active0, 0x20L);
-      case 120:
-         return jjMoveStringLiteralDfa2_0(active0, 0x80L);
-      default :
-         break;
-   }
-   return jjStartNfa_0(0, active0);
-}
-static private int jjMoveStringLiteralDfa2_0(long old0, long active0)
-{
-   if (((active0 &= old0)) == 0L)
-      return jjStartNfa_0(0, old0);
-   try { curChar = input_stream.readChar(); }
-   catch(java.io.IOException e) {
-      jjStopStringLiteralDfa_0(1, active0);
-      return 2;
-   }
-   switch(curChar)
-   {
-      case 99:
-         return jjMoveStringLiteralDfa3_0(active0, 0x80L);
-      case 105:
-         return jjMoveStringLiteralDfa3_0(active0, 0x4000L);
-      case 106:
-         return jjMoveStringLiteralDfa3_0(active0, 0x3800L);
-      case 108:
-         return jjMoveStringLiteralDfa3_0(active0, 0x50L);
-      case 112:
-         return jjMoveStringLiteralDfa3_0(active0, 0x400L);
-      case 115:
-         return jjMoveStringLiteralDfa3_0(active0, 0x100L);
-      case 117:
-         return jjMoveStringLiteralDfa3_0(active0, 0x20L);
-      case 118:
-         return jjMoveStringLiteralDfa3_0(active0, 0x200L);
-      default :
-         break;
-   }
-   return jjStartNfa_0(1, active0);
-}
-static private int jjMoveStringLiteralDfa3_0(long old0, long active0)
-{
-   if (((active0 &= old0)) == 0L)
-      return jjStartNfa_0(1, old0);
-   try { curChar = input_stream.readChar(); }
-   catch(java.io.IOException e) {
-      jjStopStringLiteralDfa_0(2, active0);
-      return 3;
-   }
-   switch(curChar)
-   {
-      case 97:
-         return jjMoveStringLiteralDfa4_0(active0, 0x40L);
-      case 101:
-         if ((active0 & 0x200L) != 0L)
-            return jjStartNfaWithStates_0(3, 9, 42);
-         return jjMoveStringLiteralDfa4_0(active0, 0x110L);
-      case 105:
-         return jjMoveStringLiteralDfa4_0(active0, 0x80L);
-      case 108:
-         return jjMoveStringLiteralDfa4_0(active0, 0x400L);
-      case 110:
-         return jjMoveStringLiteralDfa4_0(active0, 0x4020L);
-      case 111:
-         return jjMoveStringLiteralDfa4_0(active0, 0x3800L);
-      default :
-         break;
-   }
-   return jjStartNfa_0(2, active0);
-}
-static private int jjMoveStringLiteralDfa4_0(long old0, long active0)
-{
-   if (((active0 &= old0)) == 0L)
-      return jjStartNfa_0(2, old0);
-   try { curChar = input_stream.readChar(); }
-   catch(java.io.IOException e) {
-      jjStopStringLiteralDfa_0(3, active0);
-      return 4;
-   }
-   switch(curChar)
-   {
-      case 97:
-         return jjMoveStringLiteralDfa5_0(active0, 0x400L);
-      case 98:
-         return jjMoveStringLiteralDfa5_0(active0, 0x40L);
-      case 100:
-         return jjMoveStringLiteralDfa5_0(active0, 0x4000L);
-      case 101:
-         if ((active0 & 0x20L) != 0L)
-            return jjStartNfaWithStates_0(4, 5, 42);
-         break;
-      case 105:
-         return jjMoveStringLiteralDfa5_0(active0, 0x3800L);
-      case 114:
-         return jjMoveStringLiteralDfa5_0(active0, 0x100L);
-      case 115:
-         return jjMoveStringLiteralDfa5_0(active0, 0x80L);
-      case 116:
-         return jjMoveStringLiteralDfa5_0(active0, 0x10L);
-      default :
-         break;
-   }
-   return jjStartNfa_0(3, active0);
-}
-static private int jjMoveStringLiteralDfa5_0(long old0, long active0)
-{
-   if (((active0 &= old0)) == 0L)
-      return jjStartNfa_0(3, old0);
-   try { curChar = input_stream.readChar(); }
-   catch(java.io.IOException e) {
-      jjStopStringLiteralDfa_0(4, active0);
-      return 5;
-   }
-   switch(curChar)
-   {
-      case 99:
-         return jjMoveStringLiteralDfa6_0(active0, 0x400L);
-      case 101:
-         if ((active0 & 0x10L) != 0L)
-            return jjStartNfaWithStates_0(5, 4, 42);
-         else if ((active0 & 0x80L) != 0L)
-            return jjStartNfaWithStates_0(5, 7, 42);
-         return jjMoveStringLiteralDfa6_0(active0, 0x4040L);
-      case 110:
-         if ((active0 & 0x800L) != 0L)
-         {
-            jjmatchedKind = 11;
-            jjmatchedPos = 5;
-         }
-         return jjMoveStringLiteralDfa6_0(active0, 0x3000L);
-      case 116:
-         if ((active0 & 0x100L) != 0L)
-            return jjStartNfaWithStates_0(5, 8, 42);
-         break;
-      default :
-         break;
-   }
-   return jjStartNfa_0(4, active0);
-}
-static private int jjMoveStringLiteralDfa6_0(long old0, long active0)
-{
-   if (((active0 &= old0)) == 0L)
-      return jjStartNfa_0(4, old0);
-   try { curChar = input_stream.readChar(); }
-   catch(java.io.IOException e) {
-      jjStopStringLiteralDfa_0(5, active0);
-      return 6;
-   }
-   switch(curChar)
-   {
-      case 70:
-         if ((active0 & 0x2000L) != 0L)
-            return jjStartNfaWithStates_0(6, 13, 42);
-         break;
-      case 72:
-         if ((active0 & 0x1000L) != 0L)
-            return jjStartNfaWithStates_0(6, 12, 42);
-         break;
-      case 101:
-         if ((active0 & 0x400L) != 0L)
-            return jjStartNfaWithStates_0(6, 10, 42);
-         break;
-      case 108:
-         if ((active0 & 0x40L) != 0L)
-            return jjStartNfaWithStates_0(6, 6, 42);
-         break;
-      case 120:
-         if ((active0 & 0x4000L) != 0L)
-            return jjStartNfaWithStates_0(6, 14, 42);
-         break;
-      default :
-         break;
-   }
-   return jjStartNfa_0(5, active0);
-}
-static private int jjStartNfaWithStates_0(int pos, int kind, int state)
-{
-   jjmatchedKind = kind;
-   jjmatchedPos = pos;
-   try { curChar = input_stream.readChar(); }
-   catch(java.io.IOException e) { return pos + 1; }
-   return jjMoveNfa_0(state, pos + 1);
-}
-static final long[] jjbitVec0 = {
-   0x0L, 0x0L, 0xffffffffffffffffL, 0xffffffffffffffffL
-};
-static private int jjMoveNfa_0(int startState, int curPos)
-{
-   int startsAt = 0;
-   jjnewStateCnt = 42;
-   int i = 1;
-   jjstateSet[0] = startState;
-   int kind = 0x7fffffff;
-   for (;;)
-   {
-      if (++jjround == 0x7fffffff)
-         ReInitRounds();
-      if (curChar < 64)
-      {
-         long l = 1L << curChar;
-         do
-         {
-            switch(jjstateSet[--i])
-            {
-               case 42:
-                  if ((0xf3fffcfa00000000L & l) != 0L)
-                  {
-                     if (kind > 22)
-                        kind = 22;
-                     jjCheckNAdd(19);
-                  }
-                  if ((0x23ff240000000000L & l) != 0L)
-                  {
-                     if (kind > 16)
-                        kind = 16;
-                     jjCheckNAdd(1);
-                  }
-                  break;
-               case 0:
-                  if ((0xf3fffcfa00000000L & l) != 0L)
-                  {
-                     if (kind > 22)
-                        kind = 22;
-                     jjCheckNAdd(19);
-                  }
-                  else if (curChar == 40)
-                  {
-                     if (kind > 23)
-                        kind = 23;
-                     jjCheckNAdd(21);
-                  }
-                  if ((0x240000000000L & l) != 0L)
-                  {
-                     if (kind > 16)
-                        kind = 16;
-                     jjCheckNAdd(1);
-                  }
-                  else if (curChar == 35)
-                     jjAddStates(0, 1);
-                  else if (curChar == 36)
-                     jjAddStates(2, 3);
-                  else if (curChar == 47)
-                     jjCheckNAddStates(4, 6);
-                  else if (curChar == 62)
-                     jjCheckNAddTwoStates(5, 6);
-                  if (curChar == 35)
-                     jjCheckNAdd(18);
-                  break;
-               case 1:
-                  if ((0x23ff240000000000L & l) == 0L)
-                     break;
-                  if (kind > 16)
-                     kind = 16;
-                  jjCheckNAdd(1);
-                  break;
-               case 3:
-                  if ((0x3ff200000000000L & l) == 0L)
-                     break;
-                  if (kind > 17)
-                     kind = 17;
-                  jjstateSet[jjnewStateCnt++] = 3;
-                  break;
-               case 4:
-                  if (curChar == 62)
-                     jjCheckNAddTwoStates(5, 6);
-                  break;
-               case 5:
-                  if (curChar == 45)
-                     jjCheckNAdd(6);
-                  break;
-               case 6:
-                  if ((0x3ff000000000000L & l) == 0L)
-                     break;
-                  if (kind > 18)
-                     kind = 18;
-                  jjCheckNAdd(6);
-                  break;
-               case 7:
-               case 8:
-                  if (curChar == 47)
-                     jjCheckNAddStates(4, 6);
-                  break;
-               case 10:
-                  if ((0xffffffffffffdbffL & l) != 0L)
-                     jjCheckNAddStates(4, 6);
-                  break;
-               case 11:
-                  if (curChar == 47 && kind > 19)
-                     kind = 19;
-                  break;
-               case 15:
-                  if ((0xffffffffffffdbffL & l) != 0L)
-                     jjAddStates(7, 9);
-                  break;
-               case 17:
-                  if (curChar == 35)
-                     jjCheckNAdd(18);
-                  break;
-               case 18:
-                  if ((0x3ff000000000000L & l) == 0L)
-                     break;
-                  if (kind > 21)
-                     kind = 21;
-                  jjCheckNAdd(18);
-                  break;
-               case 19:
-                  if ((0xf3fffcfa00000000L & l) == 0L)
-                     break;
-                  if (kind > 22)
-                     kind = 22;
-                  jjCheckNAdd(19);
-                  break;
-               case 20:
-                  if (curChar != 40)
-                     break;
-                  if (kind > 23)
-                     kind = 23;
-                  jjCheckNAdd(21);
-                  break;
-               case 21:
-                  if ((0xf3fffcfa00000000L & l) == 0L)
-                     break;
-                  if (kind > 23)
-                     kind = 23;
-                  jjCheckNAdd(21);
-                  break;
-               case 22:
-                  if (curChar == 36)
-                     jjAddStates(2, 3);
-                  break;
-               case 23:
-                  if (curChar == 45 && kind > 18)
-                     kind = 18;
-                  break;
-               case 24:
-                  if (curChar == 43 && kind > 18)
-                     kind = 18;
-                  break;
-               case 25:
-                  if (curChar == 35)
-                     jjAddStates(0, 1);
-                  break;
-               default : break;
-            }
-         } while(i != startsAt);
-      }
-      else if (curChar < 128)
-      {
-         long l = 1L << (curChar & 077);
-         do
-         {
-            switch(jjstateSet[--i])
-            {
-               case 42:
-                  if ((0x7fffffffffffffffL & l) != 0L)
-                  {
-                     if (kind > 22)
-                        kind = 22;
-                     jjCheckNAdd(19);
-                  }
-                  if ((0x17fffffe87ffffffL & l) != 0L)
-                  {
-                     if (kind > 16)
-                        kind = 16;
-                     jjCheckNAdd(1);
-                  }
-                  break;
-               case 0:
-                  if ((0x7fffffffffffffffL & l) != 0L)
-                  {
-                     if (kind > 22)
-                        kind = 22;
-                     jjCheckNAdd(19);
-                  }
-                  if ((0x7fffffe07fffffeL & l) != 0L)
-                  {
-                     if (kind > 16)
-                        kind = 16;
-                     jjCheckNAdd(1);
-                  }
-                  else if (curChar == 124)
-                     jjCheckNAddStates(7, 9);
-                  if ((0x7fffffeL & l) != 0L)
-                  {
-                     if (kind > 17)
-                        kind = 17;
-                     jjCheckNAdd(3);
-                  }
-                  break;
-               case 1:
-                  if ((0x17fffffe87ffffffL & l) == 0L)
-                     break;
-                  if (kind > 16)
-                     kind = 16;
-                  jjCheckNAdd(1);
-                  break;
-               case 2:
-                  if ((0x7fffffeL & l) == 0L)
-                     break;
-                  if (kind > 17)
-                     kind = 17;
-                  jjCheckNAdd(3);
-                  break;
-               case 3:
-                  if ((0x87fffffeL & l) == 0L)
-                     break;
-                  if (kind > 17)
-                     kind = 17;
-                  jjCheckNAdd(3);
-                  break;
-               case 9:
-                  if (curChar == 92)
-                     jjstateSet[jjnewStateCnt++] = 8;
-                  break;
-               case 10:
-                  jjAddStates(4, 6);
-                  break;
-               case 12:
-               case 13:
-                  if (curChar == 124)
-                     jjCheckNAddStates(7, 9);
-                  break;
-               case 14:
-                  if (curChar == 92)
-                     jjstateSet[jjnewStateCnt++] = 13;
-                  break;
-               case 15:
-                  if ((0xefffffffffffffffL & l) != 0L)
-                     jjCheckNAddStates(7, 9);
-                  break;
-               case 16:
-                  if (curChar == 124 && kind > 20)
-                     kind = 20;
-                  break;
-               case 19:
-                  if ((0x7fffffffffffffffL & l) == 0L)
-                     break;
-                  if (kind > 22)
-                     kind = 22;
-                  jjCheckNAdd(19);
-                  break;
-               case 21:
-                  if ((0x7fffffffffffffffL & l) == 0L)
-                     break;
-                  if (kind > 23)
-                     kind = 23;
-                  jjstateSet[jjnewStateCnt++] = 21;
-                  break;
-               case 26:
-                  if (curChar == 116 && kind > 15)
-                     kind = 15;
-                  break;
-               case 27:
-               case 35:
-                  if (curChar == 115)
-                     jjCheckNAdd(26);
-                  break;
-               case 28:
-                  if (curChar == 111)
-                     jjstateSet[jjnewStateCnt++] = 27;
-                  break;
-               case 29:
-                  if (curChar == 109)
-                     jjstateSet[jjnewStateCnt++] = 28;
-                  break;
-               case 30:
-                  if (curChar == 116)
-                     jjstateSet[jjnewStateCnt++] = 29;
-                  break;
-               case 31:
-                  if (curChar == 104)
-                     jjstateSet[jjnewStateCnt++] = 30;
-                  break;
-               case 32:
-                  if (curChar == 103)
-                     jjstateSet[jjnewStateCnt++] = 31;
-                  break;
-               case 33:
-                  if (curChar == 105)
-                     jjstateSet[jjnewStateCnt++] = 32;
-                  break;
-               case 34:
-                  if (curChar == 114)
-                     jjstateSet[jjnewStateCnt++] = 33;
-                  break;
-               case 36:
-                  if (curChar == 111)
-                     jjstateSet[jjnewStateCnt++] = 35;
-                  break;
-               case 37:
-                  if (curChar == 109)
-                     jjstateSet[jjnewStateCnt++] = 36;
-                  break;
-               case 38:
-                  if (curChar == 116)
-                     jjstateSet[jjnewStateCnt++] = 37;
-                  break;
-               case 39:
-                  if (curChar == 102)
-                     jjstateSet[jjnewStateCnt++] = 38;
-                  break;
-               case 40:
-                  if (curChar == 101)
-                     jjstateSet[jjnewStateCnt++] = 39;
-                  break;
-               case 41:
-                  if (curChar == 108)
-                     jjstateSet[jjnewStateCnt++] = 40;
-                  break;
-               default : break;
-            }
-         } while(i != startsAt);
-      }
-      else
-      {
-         int i2 = (curChar & 0xff) >> 6;
-         long l2 = 1L << (curChar & 077);
-         do
-         {
-            switch(jjstateSet[--i])
-            {
-               case 10:
-                  if ((jjbitVec0[i2] & l2) != 0L)
-                     jjAddStates(4, 6);
-                  break;
-               case 15:
-                  if ((jjbitVec0[i2] & l2) != 0L)
-                     jjAddStates(7, 9);
-                  break;
-               default : break;
-            }
-         } while(i != startsAt);
-      }
-      if (kind != 0x7fffffff)
-      {
-         jjmatchedKind = kind;
-         jjmatchedPos = curPos;
-         kind = 0x7fffffff;
-      }
-      ++curPos;
-      if ((i = jjnewStateCnt) == (startsAt = 42 - (jjnewStateCnt = startsAt)))
-         return curPos;
-      try { curChar = input_stream.readChar(); }
-      catch(java.io.IOException e) { return curPos; }
-   }
-}
-static final int[] jjnextStates = {
-   34, 41, 23, 24, 9, 10, 11, 14, 15, 16, 
-};
-
-/** Token literal values. */
-public static final String[] jjstrLiteralImages = {
-"", null, null, null, "\144\145\154\145\164\145", "\160\162\165\156\145", 
-"\162\145\154\141\142\145\154", "\145\170\143\151\163\145", "\151\156\163\145\162\164", "\155\157\166\145", 
-"\162\145\160\154\141\143\145", "\141\144\152\157\151\156", "\141\144\152\157\151\156\110", 
-"\141\144\152\157\151\156\106", "\143\157\151\156\144\145\170", null, null, null, null, null, null, null, null, 
-null, "\12", "\51", };
-
-/** Lexer state names. */
-public static final String[] lexStateNames = {
-   "DEFAULT",
-};
-static final long[] jjtoToken = {
-   0x3fffff1L, 
-};
-static final long[] jjtoSkip = {
-   0xeL, 
-};
-static protected SimpleCharStream input_stream;
-static private final int[] jjrounds = new int[42];
-static private final int[] jjstateSet = new int[84];
-static protected char curChar;
-/** Constructor. */
-public TsurgeonParserTokenManager(SimpleCharStream stream){
-   if (input_stream != null)
-      throw new TokenMgrError("ERROR: Second call to constructor of static lexer. You must use ReInit() to initialize the static variables.", TokenMgrError.STATIC_LEXER_ERROR);
-   input_stream = stream;
-}
-
-/** Constructor. */
-public TsurgeonParserTokenManager(SimpleCharStream stream, int lexState){
-   this(stream);
-   SwitchTo(lexState);
-}
-
-/** Reinitialise parser. */
-static public void ReInit(SimpleCharStream stream)
-{
-   jjmatchedPos = jjnewStateCnt = 0;
-   curLexState = defaultLexState;
-   input_stream = stream;
-   ReInitRounds();
-}
-static private void ReInitRounds()
-{
-   int i;
-   jjround = 0x80000001;
-   for (i = 42; i-- > 0;)
-      jjrounds[i] = 0x80000000;
-}
-
-/** Reinitialise parser. */
-static public void ReInit(SimpleCharStream stream, int lexState)
-{
-   ReInit(stream);
-   SwitchTo(lexState);
-}
-
-/** Switch to specified lex state. */
-static public void SwitchTo(int lexState)
-{
-   if (lexState >= 1 || lexState < 0)
-      throw new TokenMgrError("Error: Ignoring invalid lexical state : " + lexState + ". State unchanged.", TokenMgrError.INVALID_LEXICAL_STATE);
-   else
-      curLexState = lexState;
-}
-
-static protected Token jjFillToken()
-{
-   final Token t;
-   final String curTokenImage;
-   final int beginLine;
-   final int endLine;
-   final int beginColumn;
-   final int endColumn;
-   String im = jjstrLiteralImages[jjmatchedKind];
-   curTokenImage = (im == null) ? input_stream.GetImage() : im;
-   beginLine = input_stream.getBeginLine();
-   beginColumn = input_stream.getBeginColumn();
-   endLine = input_stream.getEndLine();
-   endColumn = input_stream.getEndColumn();
-   t = Token.newToken(jjmatchedKind, curTokenImage);
-
-   t.beginLine = beginLine;
-   t.endLine = endLine;
-   t.beginColumn = beginColumn;
-   t.endColumn = endColumn;
-
-   return t;
-}
-
-static int curLexState = 0;
-static int defaultLexState = 0;
-static int jjnewStateCnt;
-static int jjround;
-static int jjmatchedPos;
-static int jjmatchedKind;
-
-/** Get the next Token. */
-public static Token getNextToken() 
-{
-  Token matchedToken;
-  int curPos = 0;
-
-  EOFLoop :
-  for (;;)
-  {
-   try
-   {
-      curChar = input_stream.BeginToken();
-   }
-   catch(java.io.IOException e)
-   {
-      jjmatchedKind = 0;
-      matchedToken = jjFillToken();
-      return matchedToken;
-   }
-
-   try { input_stream.backup(0);
-      while (curChar <= 32 && (0x100002200L & (1L << curChar)) != 0L)
-         curChar = input_stream.BeginToken();
-   }
-   catch (java.io.IOException e1) { continue EOFLoop; }
-   jjmatchedKind = 0x7fffffff;
-   jjmatchedPos = 0;
-   curPos = jjMoveStringLiteralDfa0_0();
-   if (jjmatchedKind != 0x7fffffff)
-   {
-      if (jjmatchedPos + 1 < curPos)
-         input_stream.backup(curPos - jjmatchedPos - 1);
-      if ((jjtoToken[jjmatchedKind >> 6] & (1L << (jjmatchedKind & 077))) != 0L)
-      {
-         matchedToken = jjFillToken();
-         return matchedToken;
-      }
-      else
-      {
-         continue EOFLoop;
-      }
-   }
-   int error_line = input_stream.getEndLine();
-   int error_column = input_stream.getEndColumn();
-   String error_after = null;
-   boolean EOFSeen = false;
-   try { input_stream.readChar(); input_stream.backup(1); }
-   catch (java.io.IOException e1) {
-      EOFSeen = true;
-      error_after = curPos <= 1 ? "" : input_stream.GetImage();
-      if (curChar == '\n' || curChar == '\r') {
-         error_line++;
-         error_column = 0;
-      }
-      else
-         error_column++;
-   }
-   if (!EOFSeen) {
-      input_stream.backup(1);
-      error_after = curPos <= 1 ? "" : input_stream.GetImage();
-   }
-   throw new TokenMgrError(EOFSeen, curLexState, error_line, error_column, error_after, curChar, TokenMgrError.LEXICAL_ERROR);
-  }
-}
-
-static private void jjCheckNAdd(int state)
-{
-   if (jjrounds[state] != jjround)
-   {
-      jjstateSet[jjnewStateCnt++] = state;
-      jjrounds[state] = jjround;
-   }
-}
-static private void jjAddStates(int start, int end)
-{
-   do {
-      jjstateSet[jjnewStateCnt++] = jjnextStates[start];
-   } while (start++ != end);
-}
-static private void jjCheckNAddTwoStates(int state1, int state2)
-{
-   jjCheckNAdd(state1);
-   jjCheckNAdd(state2);
-}
-
-static private void jjCheckNAddStates(int start, int end)
-{
-   do {
-      jjCheckNAdd(jjnextStates[start]);
-   } while (start++ != end);
-}
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonParserTreeConstants.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonParserTreeConstants.java
deleted file mode 100644
index 1dd701f..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonParserTreeConstants.java
+++ /dev/null
@@ -1,29 +0,0 @@
-/* Generated By:JavaCC: Do not edit this line. TsurgeonParserTreeConstants.java Version 4.1 */
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-public interface TsurgeonParserTreeConstants
-{
-  public int JJTROOT = 0;
-  public int JJTOPERATION = 1;
-  public int JJTLOCATION = 2;
-  public int JJTNODESELECTIONLIST = 3;
-  public int JJTNODESELECTION = 4;
-  public int JJTNODENAME = 5;
-  public int JJTTREEROOT = 6;
-  public int JJTTREENODE = 7;
-  public int JJTTREEDTRS = 8;
-
-
-  public String[] jjtNodeName = {
-    "Root",
-    "Operation",
-    "Location",
-    "NodeSelectionList",
-    "NodeSelection",
-    "NodeName",
-    "TreeRoot",
-    "TreeNode",
-    "TreeDtrs",
-  };
-}
-/* JavaCC - OriginalChecksum=28a309048d93f8cf91c3ab4f3c98d53d (do not edit this line) */
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonPattern.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonPattern.java
deleted file mode 100644
index 6aee85c..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonPattern.java
+++ /dev/null
@@ -1,88 +0,0 @@
-// TsurgeonPattern
-// Copyright (c) 2004-2007 The Board of Trustees of
-// The Leland Stanford Junior University. All Rights Reserved.
-//
-// This program is free software; you can redistribute it and/or
-// modify it under the terms of the GNU General Public License
-// as published by the Free Software Foundation; either version 2
-// of the License, or (at your option) any later version.
-//
-// This program is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU General Public License
-// along with this program; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
-//
-//
-// For more information, bug reports, fixes, contact:
-//    Christopher Manning
-//    Dept of Computer Science, Gates 1A
-//    Stanford CA 94305-9010
-//    USA
-//    Support/Questions: parser-user@lists.stanford.edu
-//    Licensing: parser-support@lists.stanford.edu
-//    http://www-nlp.stanford.edu/software/tregex.shtml
-
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-
-
-/**
- * An abstract class for patterns to manipulate {@link Tree}s when
- * successfully matched on with a {@link TregexMatcher}.
- *
- * @author Roger Levy
- */
-public abstract class TsurgeonPattern {
-
-  static final TsurgeonPattern[] EMPTY_TSURGEON_PATTERN_ARRAY = new TsurgeonPattern[0];
-
-  TsurgeonPatternRoot root;
-  String label;
-  TsurgeonPattern[] children;
-
-  TsurgeonPattern(String label, TsurgeonPattern[] children) {
-    this.label = label;
-    this.children = children;
-  }
-
-  protected void setRoot(TsurgeonPatternRoot root) {
-    this.root = root;
-    for (TsurgeonPattern child : children) {
-      child.setRoot(root);
-    }
-  }
-
-  @Override
-  public String toString() {
-    StringBuilder resultSB = new StringBuilder();
-    resultSB.append(label);
-    if (children.length > 0) {
-      resultSB.append('(');
-      for (int i = 0; i < children.length; i++) {
-        resultSB.append(children[i]);
-        if (i < children.length - 1) {
-          resultSB.append(", ");
-        }
-      }
-      resultSB.append(')');
-    }
-    return resultSB.toString();
-  }
-
-  /**
-   * Evaluates the pattern against a {@link Tree} and a {@link TregexMatcher}
-   * that has been successfully matched against the tree.
-   *
-   * @param t the {@link Tree} that has been matched upon; typically this tree will be destructively modified.
-   * @param m the successfully matched {@link TregexMatcher}
-   * @return some node in the tree; depends on implementation and use of the specific subclass.
-   */
-  public abstract Tree evaluate(Tree t, TregexMatcher m);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonPatternRoot.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonPatternRoot.java
deleted file mode 100644
index 907c30a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/trees/tregex/tsurgeon/TsurgeonPatternRoot.java
+++ /dev/null
@@ -1,40 +0,0 @@
-package edu.stanford.nlp.trees.tregex.tsurgeon;
-
-import edu.stanford.nlp.trees.Tree;
-import edu.stanford.nlp.trees.tregex.TregexMatcher;
-
-import java.util.Map;
-import java.util.HashMap;
-
-/**
- * @author Roger Levy (rog@nlp.stanford.edu)
- */
-class TsurgeonPatternRoot extends TsurgeonPattern {
-
-  final CoindexationGenerator coindexer = new CoindexationGenerator();
-  Map<String, Tree> newNodeNames;
-
-
-  public TsurgeonPatternRoot(TsurgeonPattern[] children) {
-    super("operations: ", children);
-    setRoot(this);
-  }
-
-
-  /**
-   * returns null if one of the surgeries eliminates the tree entirely.  The
-   * operated-on tree is not to be trusted in this instance.
-   */
-  @Override
-  public Tree evaluate(Tree t, TregexMatcher m) {
-    newNodeNames = new HashMap<String,Tree>();
-    coindexer.setLastIndex(t);
-    for (TsurgeonPattern child : children) {
-      t = child.evaluate(t, m);
-      if (t == null) {
-        return null;
-      }
-    }
-    return t;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/AbstractIterator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/AbstractIterator.java
deleted file mode 100644
index c0eaefe..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/AbstractIterator.java
+++ /dev/null
@@ -1,22 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.Iterator;
-
-/**
- * Iterator with <code>remove()</code> defined to throw an
- * <code>UnsupportedOperationException</code>.
- */
-abstract public class AbstractIterator<E> implements Iterator<E> {
-
-  abstract public boolean hasNext();
-
-  abstract public E next();
-
-  /**
-   * Throws an <code>UnupportedOperationException</code>.
-   */
-  public void remove() {
-    throw new UnsupportedOperationException();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ArrayCoreMap.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ArrayCoreMap.java
deleted file mode 100644
index 2361ea1..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ArrayCoreMap.java
+++ /dev/null
@@ -1,440 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.IOException;
-import java.io.ObjectOutputStream;
-import java.io.Serializable;
-import java.util.AbstractSet;
-import java.util.Iterator;
-import java.util.NoSuchElementException;
-import java.util.Set;
-
-
-/**
- * <p>
- * Base implementation of {@link CoreMap} backed by Java Arrays.
- * </p>
- *
- * <p>
- * Reasonable care has been put into ensuring that this class is both fast and
- * has a light memory footprint.
- * </p>
- *
- * <p>
- * Note that like the base classes in the Collections API, this implementation
- * is <em>not thread-safe</em>. For speed reasons, these methods are not
- * synchronized. A synchronized wrapper could be developed by anyone so
- * inclined.
- * </p>
- *
- * <p>
- * Equality is defined over the complete set of keys and values currently
- * stored in the map.  Because this class is mutable, it should not be used
- * as a key in a HashMap.
- * </p>
- *
- * @author dramage
- * @author rafferty
- */
-public class ArrayCoreMap implements CoreMap, Serializable {
-
-  /** Initial capacity of the array */
-  private static final int INITIAL_CAPACITY = 4;
-
-  /** Array of keys */
-  private Class<?>[] keys;
-
-  /** Array of values */
-  private Object[] values;
-
-  /** Total number of elements actually in keys,values */
-  private int size; // = 0;
-
-  /**
-   * Default constructor - initializes with default initial annotation
-   * capacity of 4.
-   */
-  public ArrayCoreMap() {
-    this(INITIAL_CAPACITY);
-  }
-
-  /**
-   * Initializes this ArrayCoreMap, pre-allocating arrays to hold
-   * up to capacity key,value pairs.  This array will grow if necessary.
-   *
-   * @param capacity Initial capacity of object in key,value pairs
-   */
-  public ArrayCoreMap(int capacity) {
-    keys = new Class<?>[capacity];
-    values = new Object[capacity];
-  }
-
-  /**
-   * Copy constructor.
-   * @param other The ArrayCoreMap to copy. It may not be null.
-   */
-  public ArrayCoreMap(ArrayCoreMap other) {
-    size = other.size;
-    keys = new Class<?>[size];
-    values = new Object[size];
-
-    for (int i = 0; i < size; i++) {
-      this.keys[i] = other.keys[i];
-      this.values[i] = other.values[i];
-    }
-  }
-
-  /**
-   * Copy constructor.
-   * @param other The ArrayCoreMap to copy. It may not be null.
-   */
-  @SuppressWarnings("unchecked")
-  public ArrayCoreMap(CoreMap other) {
-    Set<Class<?>> otherKeys = other.keySet();
-
-    size = otherKeys.size();
-    keys = new Class<?>[size];
-    values = new Object[size];
-
-    int i = 0;
-    for (Class<?> key : otherKeys) {
-      this.keys[i] = key;
-      this.values[i] = other.get((Class)key);
-      i++;
-    }
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  @SuppressWarnings("unchecked")
-  public <VALUE, KEY extends Key<CoreMap, VALUE>>
-    VALUE get(Class<KEY> key) {
-    for (int i = size; i > 0; ) {
-      if (keys[--i] == key) {
-        return (VALUE)values[i];
-      }
-    }
-    return null;
-  }
-
-
-
-  /**
-   * {@inheritDoc}
-   */
-  public <VALUE, KEY extends Key<CoreMap, VALUE>>
-    boolean has(Class<KEY> key) {
-
-    for (int i = 0; i < size; i++) {
-      if (keys[i] == key) {
-        return true;
-      }
-    }
-
-    return false;
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  @SuppressWarnings("unchecked")
-  public <VALUEBASE, VALUE extends VALUEBASE, KEY extends Key<CoreMap, VALUEBASE>>
-    VALUE set(Class<KEY> key, VALUE value) {
-
-    // search array for existing value to replace
-    for (int i = 0; i < size; i++) {
-      if (keys[i] == key) {
-        VALUE rv = (VALUE)values[i];
-        values[i] = value;
-        return rv;
-      }
-    }
-    // not found in arrays, add to end ...
-
-    // increment capacity of arrays if necessary
-    if (size >= keys.length) {
-      int capacity = keys.length + (keys.length < 16 ? 4: 8);
-      Class<?>[] newKeys = new Class<?>[capacity];
-      Object[] newVals = new Object[capacity];
-      System.arraycopy(keys, 0, newKeys, 0, size);
-      System.arraycopy(values, 0, newVals, 0, size);
-      keys = newKeys;
-      values = newVals;
-    }
-
-    // store value
-    keys[size] = key;
-    values[size] = value;
-    size++;
-
-    return null;
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public Set<Class<?>> keySet() {
-
-    return new AbstractSet<Class<?>>() {
-      @Override
-      public Iterator<Class<?>> iterator() {
-        return new Iterator<Class<?>>() {
-          private int i; // = 0;
-
-          public boolean hasNext() {
-            return i < size;
-          }
-
-          public Class<?> next() {
-            try {
-              return keys[i++];
-            } catch (ArrayIndexOutOfBoundsException aioobe) {
-              throw new NoSuchElementException("ArrayCoreMap keySet iterator exhausted");
-            }
-          }
-
-          @SuppressWarnings("unchecked")
-          public void remove() {
-            ArrayCoreMap.this.remove((Class)keys[i]);
-          }
-        };
-      }
-
-      @Override
-      public int size() {
-        return size;
-      }
-    };
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  @SuppressWarnings("unchecked")
-  public <VALUE, KEY extends Key<CoreMap, VALUE>>
-    VALUE remove(Class<KEY> key) {
-
-    Object rv = null;
-    for (int i = 0; i < size; i++) {
-      if (keys[i] == key) {
-        rv = values[i];
-        if (i < size - 1) {
-          System.arraycopy(keys,   i+1, keys,   i, size-(i+1));
-          System.arraycopy(values, i+1, values, i, size-(i+1));
-        }
-        size--;
-        break;
-      }
-    }
-    return (VALUE)rv;
-  }
-
-  /**
-   * {@inheritDoc}
-   */
-  public <VALUE, KEY extends Key<CoreMap, VALUE>>
-  boolean containsKey(Class<KEY> key) {
-    for (int i = 0; i < size; i++) {
-      if (keys[i] == key) {
-        return true;
-      }
-    }
-    return false;
-  }
-
-
-  /**
-   * Reduces memory consumption to the minimum for representing the values
-   * currently stored stored in this object.
-   */
-  public void compact() {
-    if (keys.length > size) {
-      Class<?>[] newKeys = new Class<?>[size];
-      Object[] newVals = new Object[size];
-      System.arraycopy(keys, 0, newKeys, 0, size);
-      System.arraycopy(values, 0, newVals, 0, size);
-      keys = newKeys;
-      values = newVals;
-    }
-  }
-
-  public void setCapacity(int newSize) {
-    if (size > newSize) { throw new RuntimeException("You cannot set capacity to smaller than the current size."); }
-    Class<?>[] newKeys = new Class<?>[size];
-    Object[] newVals = new Object[size];
-    System.arraycopy(keys, 0, newKeys, 0, size);
-    System.arraycopy(values, 0, newVals, 0, size);
-    keys = newKeys;
-    values = newVals;
-  }
-
-  /**
-   * Returns the number of elements in this map.
-   * @return The number of elements in this map.
-   */
-  public int size() {
-    return size;
-  }
-
-  @Override
-  public String toString() {
-    StringBuilder s = new StringBuilder("[");
-    for (int i = 0; i < size; i++) {
-      s.append(keys[i].getSimpleName());
-      s.append('=');
-      s.append(values[i]);
-      if (i < size-1) {
-        s.append(' ');
-      }
-    }
-    s.append(']');
-    return s.toString();
-  }
-
-  public String toShorterString(String... what) {
-    StringBuilder s = new StringBuilder("[");
-    for (int i = 0; i < size; i++) {
-      String name = keys[i].getSimpleName();
-      int annoIdx = name.lastIndexOf("Annotation");
-      if (annoIdx >= 0) {
-        name = name.substring(0, annoIdx);
-      }
-      boolean include;
-      if (what.length > 0) {
-        include = false;
-        for (String item : what) {
-          if (item.equals(name)) {
-            include = true;
-          }
-        }
-      } else {
-        include = true;
-      }
-      if (include) {
-        if (s.length() > 1) {
-          s.append(' ');
-        }
-        s.append(name);
-        s.append('=');
-        s.append(values[i]);
-      }
-    }
-    s.append(']');
-    return s.toString();
-  }
-
-
-  /**
-   * Two CoreMaps are equal iff all keys and values are .equal.
-   */
-  @SuppressWarnings("unchecked")
-  @Override
-  public boolean equals(Object obj) {
-    if (!(obj instanceof CoreMap)) {
-      return false;
-    }
-
-    if (obj instanceof HashableCoreMap) {
-      // overridden behavior for HashableCoreMap
-      return obj.equals(this);
-    }
-
-    if (obj instanceof ArrayCoreMap) {
-      // specialized equals for ArrayCoreMap
-      return equals((ArrayCoreMap)obj);
-    }
-
-    // general equality
-    CoreMap other = (CoreMap)obj;
-    if ( ! this.keySet().equals(other.keySet())) {
-      return false;
-    }
-    for (Class key : this.keySet()) {
-      if (!other.has(key)) {
-        return false;
-      }
-      Object thisV = this.get(key), otherV = other.get(key);
-
-      if (thisV == otherV) {
-        continue;
-      }
-      // the two values must be unequal, so if either is null, the other isn't
-      if (thisV == null || otherV == null) {
-        return false;
-      }
-
-      if ( ! thisV.equals(otherV)) {
-        return false;
-      }
-    }
-
-    return true;
-  }
-
-  private boolean equals(ArrayCoreMap other) {
-    if (this.size != other.size) {
-      return false;
-    }
-
-    for (int i = 0; i < this.size; i++) {
-      // test if other contains this key,value pair
-      boolean matched = false;
-      for (int j = 0; j < other.size; j++) {
-        if (this.keys[i] == other.keys[j]) {
-          if ((this.values[i] == null && other.values[j] != null) ||
-              (this.values[i] != null && other.values[j] == null)) {
-            matched = false;
-            break;
-          }
-
-          if ((this.values[i] == null && other.values[j] == null) ||
-              (this.values[i].equals(other.values[j]))) {
-            matched = true;
-            break;
-          }
-        }
-      }
-
-      if (!matched) {
-        return false;
-      }
-    }
-
-    return true;
-  }
-
-  /**
-   * Returns a composite hashCode over all the keys and values currently
-   * stored in the map.  Because they may change over time, this class
-   * is not appropriate for use as map keys.
-   */
-  @Override
-  public int hashCode() {
-    int keyscode = 0;
-    int valuescode = 0;
-    for (int i = 0; i < size; i++) {
-      keyscode += keys[i].hashCode();
-      valuescode += (values[i] != null ? values[i].hashCode() : 0);
-    }
-    return keyscode * 37 + valuescode;
-  }
-
-  //
-  // serialization magic
-  //
-
-  /** Serialization version id */
-  private static final long serialVersionUID = 1L;
-
-  /**
-   * Overridden serialization method: compacts our map before writing.
-   *
-   * @param out Stream to write to
-   * @throws IOException If IO error
-   */
-  private void writeObject(ObjectOutputStream out) throws IOException {
-    compact();
-    out.defaultWriteObject();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ArrayHeap.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ArrayHeap.java
deleted file mode 100644
index 9f1cbe4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ArrayHeap.java
+++ /dev/null
@@ -1,332 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.*;
-
-/**
- * Implements a heap as an ArrayList.
- * Values are all implicit in the comparator
- * passed in on construction.  Decrease key is supported, though only
- * lg(n).  Unlike the previous implementation of this class, this
- * heap interprets the addition of an existing element as a "change
- * key" which gets ignored unless it actually turns out to be a
- * decrease key.  Note that in this implementation, changing the key
- * of an object should trigger a change in the comparator's ordering
- * for that object, but should NOT change the equality of that
- * object.
- *
- * @author Dan Klein
- * @author Christopher Manning
- * @version 1.2, 07/31/02
- */
-public class ArrayHeap<E> extends AbstractSet<E> implements Heap<E> {
-
-  /**
-   * A <code>HeapEntry</code> stores an object in the heap along with
-   * its current location (array position) in the heap.
-   *
-   * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a>
-   * @version 1.2
-   */
-  private static final class HeapEntry<E> {
-    public E object;
-    public int index;
-  }
-
-  /**
-   * <code>indexToEntry</code> maps linear array locations (not
-   * priorities) to heap entries.
-   */
-  private ArrayList<HeapEntry<E>> indexToEntry;
-  /**
-   * <code>objectToEntry</code> maps heap objects to their heap
-   * entries.
-   */
-  private Map<E,HeapEntry<E>> objectToEntry;
-  /**
-   * <code>cmp</code> is the comparator passed on construction.
-   */
-  private Comparator<? super E> cmp;
-
-  // Primitive Heap Operations
-
-  private int parent(final int index) {
-    return (index - 1) / 2;
-  }
-
-  private HeapEntry<E> parent(HeapEntry<E> entry) {
-    int index = entry.index;
-    return (index > 0 ? indexToEntry.get((index - 1) / 2) : null);
-  }
-
-  private HeapEntry<E> leftChild(HeapEntry<E> entry) {
-    int index = entry.index;
-    int leftIndex = index * 2 + 1;
-    return (leftIndex < size() ? indexToEntry.get(leftIndex) : null);
-  }
-
-  private HeapEntry<E> rightChild(HeapEntry<E> entry) {
-    int index = entry.index;
-    int rightIndex = index * 2 + 2;
-    return (rightIndex < size() ? indexToEntry.get(rightIndex) : null);
-  }
-
-  private int compare(HeapEntry<E> entryA, HeapEntry<E> entryB) {
-    return cmp.compare(entryA.object, entryB.object);
-  }
-
-  private void swap(HeapEntry<E> entryA, HeapEntry<E> entryB) {
-    int indexA = entryA.index;
-    int indexB = entryB.index;
-    entryA.index = indexB;
-    entryB.index = indexA;
-    indexToEntry.set(indexA, entryB);
-    indexToEntry.set(indexB, entryA);
-  }
-
-  /**
-   * Remove the last element of the heap (last in the index array).
-   * Do not call this on other entries; the last entry is only passed
-   * in for efficiency.
-   *
-   * @param entry the last entry in the array
-   */
-  private void removeLast(HeapEntry<E> entry) {
-    indexToEntry.remove(entry.index);
-    objectToEntry.remove(entry.object);
-  }
-
-  private HeapEntry<E> getEntry(E o) {
-    HeapEntry<E> entry = objectToEntry.get(o);
-    if (entry == null) {
-      entry = new HeapEntry<E>();
-      entry.index = size();
-      entry.object = o;
-      indexToEntry.add(entry);
-      objectToEntry.put(o, entry);
-    }
-    return entry;
-  }
-
-  /**
-   * iterative heapify up: move item o at index up until correctly placed
-   */
-  private int heapifyUp(HeapEntry<E> entry) {
-    int numSwaps = 0;
-    while (true) {
-      if (entry.index == 0) {
-        break;
-      }
-      HeapEntry<E> parentEntry = parent(entry);
-      if (compare(entry, parentEntry) >= 0) {
-        break;
-      }
-      numSwaps++;
-      swap(entry, parentEntry);
-    }
-    return numSwaps;
-  }
-
-  /**
-   * On the assumption that
-   * leftChild(entry) and rightChild(entry) satisfy the heap property,
-   * make sure that the heap at entry satisfies this property by possibly
-   * percolating the element o downwards.  I've replaced the obvious
-   * recursive formulation with an iterative one to gain (marginal) speed
-   */
-  private void heapifyDown(HeapEntry<E> entry) {
-    // int size = size();
-
-    HeapEntry<E> currentEntry = entry;
-    HeapEntry<E> minEntry; // = null;
-
-    do {
-      minEntry = currentEntry;
-
-      HeapEntry<E> leftEntry = leftChild(currentEntry);
-      if (leftEntry != null) {
-        if (compare(minEntry, leftEntry) > 0) {
-          minEntry = leftEntry;
-        }
-      }
-
-      HeapEntry<E> rightEntry = rightChild(currentEntry);
-      if (rightEntry != null) {
-        if (compare(minEntry, rightEntry) > 0) {
-          minEntry = rightEntry;
-        }
-      }
-
-      if (minEntry != currentEntry) {
-        // Swap min and current
-        swap(minEntry, currentEntry);
-        // at start of next loop, we set currentIndex to largestIndex
-        // this indexation now holds current, so it is unchanged
-      }
-    } while (minEntry != currentEntry);
-    // System.err.println("Done with heapify down");
-    // verify();
-  }
-
-
-  /**
-   * Finds the object with the minimum key, removes it from the heap,
-   * and returns it.
-   *
-   * @return the object with minimum key
-   */
-  public E extractMin() {
-    if (isEmpty()) {
-      throw new NoSuchElementException();
-    }
-    HeapEntry<E> minEntry = indexToEntry.get(0);
-    int lastIndex = size() - 1;
-    if (lastIndex > 0) {
-      HeapEntry<E> lastEntry =  indexToEntry.get(lastIndex);
-      swap(lastEntry, minEntry);
-      removeLast(minEntry);
-      heapifyDown(lastEntry);
-    } else {
-      removeLast(minEntry);
-    }
-    return minEntry.object;
-  }
-
-  /**
-   * Finds the object with the minimum key and returns it, without
-   * modifying the heap.
-   *
-   * @return the object with minimum key
-   */
-  public E min() {
-    HeapEntry<E> minEntry = indexToEntry.get(0);
-    return minEntry.object;
-  }
-
-  /**
-   * Adds an object to the heap.  If the object is already in the heap
-   * with worse score, this acts as a decrease key.  If the object is
-   * already present, with better score, it will NOT cause an
-   * "increase key".
-   *
-   * @param o an <code>Object</code> value
-   */
-  @Override
-  public boolean add(E o) {
-    decreaseKey(o);
-    return true;
-  }
-
-  /**
-   * Changes the position of an element o in the heap based on a
-   * change in the ordering of o.  If o's key has actually increased,
-   * it will do nothing, particularly not an "increase key".
-   *
-   * @param o an <code>Object</code> value
-   * @return the number of swaps done on decrease.
-   */
-  public int decreaseKey(E o) {
-    HeapEntry<E> entry = getEntry(o);
-    if (o != entry.object) {
-      if (cmp.compare(o, entry.object) < 0) {
-        entry.object = o;
-      }
-    }
-    return heapifyUp(entry);
-  }
-
-  /**
-   * Checks if the heap is empty.
-   *
-   * @return a <code>boolean</code> value
-   */
-  @Override
-  public boolean isEmpty() {
-    return indexToEntry.isEmpty();
-  }
-
-  /**
-   * Get the number of elements in the heap.
-   *
-   * @return an <code>int</code> value
-   */
-  @Override
-  public int size() {
-    return indexToEntry.size();
-  }
-
-  @Override
-  public Iterator<E> iterator() {
-    Heap<E> tempHeap = new ArrayHeap<E>(cmp, size());
-    List<E> tempList = new ArrayList<E>(size());
-    for (E obj : objectToEntry.keySet()) {
-      tempHeap.add(obj);
-    }
-    while (!tempHeap.isEmpty()) {
-      tempList.add(tempHeap.extractMin());
-    }
-    return tempList.iterator();
-  }
-
-  /**
-   * Clears the heap.  Equivalent to calling extractMin repeatedly
-   * (but faster).
-   */
-  @Override
-  public void clear() {
-    indexToEntry.clear();
-    objectToEntry.clear();
-  }
-
-  public void dump() {
-    for (int j = 0; j < indexToEntry.size(); j++) {
-      System.err.println(" " + j + " " + ((Scored) indexToEntry.get(j).object).score());
-    }
-  }
-
-  public void verify() {
-    for (int i = 0; i < indexToEntry.size(); i++) {
-      if (i != 0) {
-        // check ordering
-        if (compare(indexToEntry.get(i), indexToEntry.get(parent(i))) < 0) {
-          System.err.println("Error in the ordering of the heap! (" + i + ")");
-          dump();
-          System.exit(0);
-        }
-      }
-      // check placement
-      if (i != indexToEntry.get(i).index) {
-        System.err.println("Error in placement in the heap!");
-      }
-    }
-  }
-
-  /** Create an ArrayHeap.
-   *
-   *  @param cmp The objects added will be ordered using the <code>Comparator</code>.
-   */
-  public ArrayHeap(Comparator<? super E> cmp) {
-    this.cmp = cmp;
-    indexToEntry = new ArrayList<HeapEntry<E>>();
-    objectToEntry = new HashMap<E,HeapEntry<E>>();
-  }
-
-  public ArrayHeap(Comparator<? super E> cmp, int initCapacity) {
-    this.cmp = cmp;
-    indexToEntry = new ArrayList<HeapEntry<E>>(initCapacity);
-    objectToEntry = new HashMap<E,HeapEntry<E>>(initCapacity);
-  }
-
-  /**
-   * Prints the array entries in sorted comparator order.
-   * @return The array entries in sorted comparator order.
-   */
-  @Override
-  public String toString() {
-    ArrayList<E> result = new ArrayList<E>();
-    for(E key : objectToEntry.keySet())
-      result.add(key);
-    Collections.sort(result,cmp);
-    return result.toString();
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ArrayMap.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ArrayMap.java
deleted file mode 100644
index 4384cab..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ArrayMap.java
+++ /dev/null
@@ -1,234 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.Serializable;
-import java.util.*;
-
-/**
- * Map backed by an Array.
- *
- * @author Dan Klein
- * @author Roger Levy
- */
-public final class ArrayMap<K,V> extends AbstractMap<K,V> implements Serializable {
-
-  private static final long serialVersionUID = 1L;
-
-  private Entry<K,V>[] entryArray;
-  private int capacity;
-  private int size;
-
-  static final class Entry<K,V> implements Map.Entry<K,V>, Serializable {
-
-    private static final long serialVersionUID = 1L;
-
-    @SuppressWarnings({"NonSerializableFieldInSerializableClass"})
-    private K key;
-    @SuppressWarnings({"NonSerializableFieldInSerializableClass"})
-    private V value;
-
-    public K getKey() {
-      return key;
-    }
-
-    public V getValue() {
-      return value;
-    }
-
-    public V setValue(V o) {
-      V old = value;
-      value = o;
-      return old;
-    }
-
-    @Override
-    public int hashCode() {
-      return (getKey() == null ? 0 : getKey().hashCode()) ^ (getValue() == null ? 0 : getValue().hashCode());
-    }
-
-    @Override
-    public boolean equals(Object o) {
-      if (this == o) {
-        return true;
-      }
-      if (! (o instanceof Entry)) {
-        return false;
-      }
-      Entry e = (Entry) o;
-      return (getKey() == null ? e.getKey() == null : getKey().equals(e.getKey())) && (getValue() == null ? e.getValue() == null : getValue().equals(e.getValue()));
-    }
-
-
-    Entry(K key, V value) {
-      this.key = key;
-      this.value = value;
-    }
-
-    public String toString() {
-      return key + "=" + value;
-    }
-  }
-
-
-  @SuppressWarnings("unchecked")
-  public ArrayMap() {
-    size = 0;
-    capacity = 2;
-    entryArray = new Entry[2];
-  }
-
-  @SuppressWarnings("unchecked")
-  public ArrayMap(int capacity) {
-    size = 0;
-    this.capacity = capacity;
-    entryArray = new Entry[capacity];
-  }
-
-  @SuppressWarnings("unchecked")
-  public ArrayMap(Map<? extends K, ? extends V> m) {
-	  size = 0;
-	  capacity = m.size();
-	  entryArray = new Entry[m.size()];
-	  this.putAll(m);
-  }
-
-  @SuppressWarnings("unchecked")
-  public ArrayMap(K[] keys, V[] values) {
-    if (keys.length!=values.length) throw new IllegalArgumentException("different number of keys and values.");
-    size = keys.length;
-    capacity = size;
-    entryArray = new Entry[size];
-    for (int i=0; i<keys.length; i++) {
-      entryArray[i] = new Entry(keys[i], values[i]);
-    }
-  }
-
-  @Override
-  public Set<Map.Entry<K,V>> entrySet() {
-    //throw new java.lang.UnsupportedOperationException();
-    return new HashSet<Map.Entry<K, V>>(Arrays.asList(entryArray).subList(0, size)) {
-      private static final long serialVersionUID = 2746535724049192751L;
-      @Override
-      public boolean remove(Object o) {
-        if (o instanceof Map.Entry) {
-          Map.Entry entry = (Map.Entry) o;
-          ArrayMap.this.remove(entry.getKey());
-          return super.remove(o);
-        } else {
-          return false;
-        }
-      }
-      @Override
-      public void clear() {
-        super.clear();
-        ArrayMap.this.clear();
-      }
-    };
-  }
-
-  @Override
-  public int size() {
-    return size;
-  }
-
-  @Override
-  public boolean isEmpty() {
-    return size == 0;
-  }
-
-  @SuppressWarnings("unchecked")
-  private void resize() {
-    Entry<K,V>[] oldEntryArray = entryArray;
-    int newCapacity = 2*size;
-    if (newCapacity==0) newCapacity=1;
-    entryArray = new Entry[newCapacity];
-    System.arraycopy(oldEntryArray, 0, entryArray, 0, size);
-    capacity = newCapacity;
-  }
-
-  @Override
-  public void clear() {
-    size = 0;
-  }
-
-  @Override
-  public V put(K key, V val) {
-    for (int i = 0; i < size; i++) {
-      if (key.equals(entryArray[i].getKey())) {
-        return entryArray[i].setValue(val);
-      }
-    }
-    if (capacity <= size) {
-      resize();
-    }
-    entryArray[size] = new Entry<K,V>(key, val);
-    size++;
-    return null;
-  }
-
-  @Override
-  public V get(Object key) {
-    for (int i = 0; i < size; i++) {
-      if (key == null ? entryArray[i].getKey() == null : key.equals(entryArray[i].getKey())) {
-        return entryArray[i].getValue();
-      }
-    }
-    return null;
-  }
-
-  @Override
-  public V remove(Object key) {
-    for (int i = 0; i < size; i++) {
-      if (key == null ? entryArray[i].getKey() == null : key.equals(entryArray[i].getKey())) {
-        V value = entryArray[i].getValue();
-        if (size > 1) {
-          entryArray[i] = entryArray[size - 1];
-        }
-        size--;
-        return value;
-      }
-    }
-    return null;
-  }
-
-  protected int hashCodeCache; // = 0;
-
-  @Override
-  public int hashCode() {
-    if (hashCodeCache == 0) {
-      // this is now the djb2 (Dan Bernstein) hash; it used to be the awful K&R 1st ed. hash which simply summed hash codes, but that's very bad form.
-      int hashCode = 5381;
-      for (int i = 0; i < size; i++) {
-        hashCode = hashCode * 33 + entryArray[i].hashCode();
-      }
-      hashCodeCache = hashCode;
-    }
-    return hashCodeCache;
-  }
-
-  @SuppressWarnings("unchecked")
-  @Override
-  public boolean equals(Object o) {
-    if (this == o) {
-      return true;
-    }
-    if ( ! (o instanceof Map)) {
-      return false;
-    }
-    Map<K,V> m = (Map<K,V>) o;
-    for (int i = 0; i < size; i++) {
-      Object mVal = m.get(entryArray[i].getKey());
-      if (mVal == null) {
-        if (entryArray[i] != null) {
-          return false;
-        } else {
-          continue;
-        }
-      }
-      if (!m.get(entryArray[i].getKey()).equals(entryArray[i].getValue())) {
-        return false;
-      }
-    }
-    return true;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ArrayUtils.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ArrayUtils.java
deleted file mode 100644
index 97cdf91..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ArrayUtils.java
+++ /dev/null
@@ -1,829 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.lang.reflect.Array;
-import java.util.*;
-
-
-/**
- * Static utility methods for operating on arrays.
- *
- * @author Huy Nguyen (htnguyen@cs.stanford.edu)
- * @author Michel Galley (mgalley@stanford.edu)
- */
-public class ArrayUtils {
-
-  /**
-   * Should not be instantiated
-   */
-  private ArrayUtils() {}
-
-  public static void main(String[] args) {
-
-    int[] orig = new int[args.length];
-    for (int i = 0; i < orig.length; i++) {
-      orig[i] = Integer.parseInt(args[i]);
-    }
-    
-    for (int i : gapDecode(gapEncode(orig))) {
-      System.err.print(i+" ");
-    }
-    System.err.println();
-    
-     for (int i : deltaDecode(deltaEncode(orig))) {
-       System.err.print(i+" ");
-     }
-     System.err.println();
-    
-  }
-  
-  public static byte[] gapEncode(int[] orig) {
-    List<Byte> encodedList = gapEncodeList(orig);
-    byte[] arr = new byte[encodedList.size()];
-    int i = 0;
-    for (byte b : encodedList) { arr[i++] = b; }
-    return arr;
-  }
-
-  public static List<Byte> gapEncodeList(int[] orig) {
-    for (int i = 1; i < orig.length; i++) {
-      if (orig[i] < orig[i-1]) { 
-        throw new IllegalArgumentException("Array must be sorted!"); 
-      }
-    }
-
-    List<Byte> bytes = new ArrayList<Byte>();
-    
-    int index = 0;    
-    int prevNum = 0;
-    byte currByte = 0 << 8;
-    
-    for (int f : orig) {
-      String n = (f == prevNum ? "" : Integer.toString(f-prevNum, 2));
-      for (int ii = 0; ii < n.length(); ii++) {
-        if (index == 8) {
-          bytes.add(currByte);
-          currByte = 0 << 8;
-          index = 0;
-        }
-        currByte <<= 1;
-        currByte++;
-        index++;
-      }
-      
-      if (index == 8) {
-        bytes.add(currByte);
-        currByte = 0 << 8;
-        index = 0;
-      }
-      currByte <<= 1;
-      index++;
-      
-      for (int i = 1; i < n.length(); i++) {
-        if (index == 8) {
-          bytes.add(currByte);
-          currByte = 0 << 8;
-          index = 0;
-        }
-        currByte <<= 1;
-        if (n.charAt(i) == '1') {
-          currByte++;
-        }
-        index++;
-      }
-      prevNum = f;
-    }
-    
-    while (index > 0 && index < 9) {
-      if (index == 8) {
-        bytes.add(currByte);
-        break;
-      }
-      currByte <<= 1;
-      currByte++;
-      index++;
-    }
-    
-    return bytes;
-  }
-
-  public static int[] gapDecode(byte[] gapEncoded) {
-    return gapDecode(gapEncoded, 0, gapEncoded.length);
-  }
-
-  public static int[] gapDecode(byte[] gapEncoded, int startIndex, int endIndex) {
-    List<Integer> ints = gapDecodeList(gapEncoded, startIndex, endIndex);
-    int[] arr = new int[ints.size()];
-    int index = 0;
-    for (int i : ints) { arr[index++] = i; }
-    return arr;
-  }
-
-  public static List<Integer> gapDecodeList(byte[] gapEncoded) {
-    return gapDecodeList(gapEncoded, 0, gapEncoded.length);
-  }
-
-  public static List<Integer> gapDecodeList(byte[] gapEncoded, int startIndex, int endIndex) {
-
-    boolean gettingSize = true;
-    int size = 0;
-    List<Integer> ints = new ArrayList<Integer>();
-    int gap = 0;
-    int prevNum = 0;
-    
-    for (int i = startIndex; i < endIndex; i++) {
-      byte b = gapEncoded[i];
-      for (int index = 7; index >= 0; index--) {
-        boolean value = ((b >> index) & 1) == 1;
-        
-        if (gettingSize) {
-          if (value) { size++; }
-          else {
-            if (size == 0) {
-              ints.add(prevNum);
-            } else if (size == 1) {
-              prevNum++;
-              ints.add(prevNum);
-              size = 0;
-            } else {
-              gettingSize = false;
-              gap = 1;
-              size--;
-            }
-          }
-        } else {
-          gap <<= 1;
-          if (value) { gap++; }
-          size--;
-          if (size == 0) {
-            prevNum += gap;
-            ints.add(prevNum);
-            gettingSize = true;
-          }
-        }
-      }
-    }
-    
-    return ints;
-  }
-  
-  public static byte[] deltaEncode(int[] orig) {
-    List<Byte> encodedList = deltaEncodeList(orig);
-    byte[] arr = new byte[encodedList.size()];
-    int i = 0;
-    for (byte b : encodedList) { arr[i++] = b; }
-    return arr;
-  }
-
-  public static List<Byte> deltaEncodeList(int[] orig) {
-
-    for (int i = 1; i < orig.length; i++) {
-      if (orig[i] < orig[i-1]) { 
-        throw new IllegalArgumentException("Array must be sorted!"); 
-      }
-    }
-
-    List<Byte> bytes = new ArrayList<Byte>();
-    
-    int index = 0;    
-    int prevNum = 0;
-    byte currByte = 0 << 8;
-    
-    for (int f : orig) {
-      String n = (f == prevNum ? "" : Integer.toString(f-prevNum, 2));
-      String n1 = (n.length() == 0 ? "" : Integer.toString(n.length(), 2));
-      for (int ii = 0; ii < n1.length(); ii++) {
-        if (index == 8) {
-          bytes.add(currByte);
-          currByte = 0 << 8;
-          index = 0;
-        }
-        currByte <<= 1;
-        currByte++;
-        index++;
-      }
-      
-      if (index == 8) {
-        bytes.add(currByte);
-        currByte = 0 << 8;
-        index = 0;
-      }
-      currByte <<= 1;
-      index++;
-      
-      for (int i = 1; i < n1.length(); i++) {
-        if (index == 8) {
-          bytes.add(currByte);
-          currByte = 0 << 8;
-          index = 0;
-        }
-        currByte <<= 1;
-        if (n1.charAt(i) == '1') {
-          currByte++;
-        }
-        index++;
-      }
-
-      for (int i = 1; i < n.length(); i++) {
-        if (index == 8) {
-          bytes.add(currByte);
-          currByte = 0 << 8;
-          index = 0;
-        }
-        currByte <<= 1;
-        if (n.charAt(i) == '1') {
-          currByte++;
-        }
-        index++;
-      }
-
-      prevNum = f;
-
-    }
-    
-    while (index > 0 && index < 9) {
-      if (index == 8) {
-        bytes.add(currByte);
-        break;
-      }
-      currByte <<= 1;
-      currByte++;
-      index++;
-    }
-    
-    return bytes;
-  }
-
-  
-  public static int[] deltaDecode(byte[] deltaEncoded) {
-    return deltaDecode(deltaEncoded, 0, deltaEncoded.length);
-  }
-
-  public static int[] deltaDecode(byte[] deltaEncoded, int startIndex, int endIndex) {
-    List<Integer> ints = deltaDecodeList(deltaEncoded);
-    int[] arr = new int[ints.size()];
-    int index = 0;
-    for (int i : ints) { arr[index++] = i; }
-    return arr;
-  }
-
-  public static List<Integer> deltaDecodeList(byte[] deltaEncoded) {
-    return deltaDecodeList(deltaEncoded, 0, deltaEncoded.length);
-  }
-
-  public static List<Integer> deltaDecodeList(byte[] deltaEncoded, int startIndex, int endIndex) {
-
-    boolean gettingSize1 = true;
-    boolean gettingSize2 = false;
-    int size1 = 0;
-    List<Integer> ints = new ArrayList<Integer>();
-    int gap = 0;
-    int size2 = 0;
-    int prevNum = 0;
-    
-    for (int i = startIndex; i < endIndex; i++) {
-      byte b = deltaEncoded[i];
-      for (int index = 7; index >= 0; index--) {
-        boolean value = ((b >> index) & 1) == 1;
-        
-        if (gettingSize1) {
-          if (value) { size1++; }
-          else {
-            if (size1 == 0) {
-              ints.add(prevNum);
-            } else if (size1 == 1) {
-              prevNum++;
-              ints.add(prevNum);
-              size1 = 0;
-            } else {
-              gettingSize1 = false;
-              gettingSize2 = true;
-              size2 = 1;
-              size1--;
-            }
-          }
-        } else if (gettingSize2) {
-          size2 <<= 1;
-          if (value) { size2++; }
-          size1--;
-          if (size1 == 0) {
-            gettingSize2 = false;
-            gap = 1;
-            size2--;
-          }
-        } else {
-          gap <<= 1;
-          if (value) { gap++; }
-          size2--;
-          if (size2 == 0) {
-            prevNum += gap;
-            ints.add(prevNum);
-            gettingSize1 = true;
-          }
-        }
-      }
-    }
-    
-    return ints;
-  }                            
-
-  /** helper for gap encoding. */
-  private static byte[] bitSetToByteArray(BitSet bitSet) {
-
-    while (bitSet.length() % 8 != 0) { bitSet.set(bitSet.length(), true); }
-    
-    byte[] array = new byte[bitSet.length()/8];
-
-    for (int i = 0; i < array.length; i++) {
-      int offset = i * 8;
-
-      int index = 0;
-      for (int j = 0; j < 8; j++) {
-        index <<= 1;        
-        if (bitSet.get(offset+j)) { index++; }
-      }
-
-      array[i] = (byte)(index - 128);
-    }
-
-    return array;
-  }
-
-  /** helper for gap encoding. */
-  private static BitSet byteArrayToBitSet(byte[] array) {
-
-    BitSet bitSet = new BitSet();
-    int index = 0;
-    for (byte b : array) {
-      int b1 = ((int)b) + 128;
-
-      bitSet.set(index++, (b1 >> 7) % 2 == 1);
-      bitSet.set(index++, (b1 >> 6) % 2 == 1);
-      bitSet.set(index++, (b1 >> 5) % 2 == 1);
-      bitSet.set(index++, (b1 >> 4) % 2 == 1);
-      bitSet.set(index++, (b1 >> 3) % 2 == 1);
-      bitSet.set(index++, (b1 >> 2) % 2 == 1);
-      bitSet.set(index++, (b1 >> 1) % 2 == 1);
-      bitSet.set(index++, b1 % 2 == 1);
-    }
-
-    return bitSet;
-  }
-  
-//     for (int i = 1; i < orig.length; i++) {
-//       if (orig[i] < orig[i-1]) { throw new RuntimeException("Array must be sorted!"); }
-
-//       StringBuilder bits = new StringBuilder(); 
-//       int prevNum = 0;
-//       for (int f : orig) {
-//         StringBuilder bits1 = new StringBuilder();
-//               System.err.print(f+"\t");
-//               String n = Integer.toString(f-prevNum, 2);
-//               String n1 = Integer.toString(n.length(), 2);
-//               for (int ii = 0; ii < n1.length(); ii++) {
-//                 bits1.append("1");                
-//               }
-//               bits1.append("0");
-//               bits1.append(n1.substring(1));
-//               bits1.append(n.substring(1));
-//               System.err.print(bits1+"\t");
-//               bits.append(bits1);
-//               prevNum = f;
-//             }
-
-
-
-  public static double[] flatten(double[][] array) {
-    int size = 0;
-    for (double[] a : array) {
-      size += a.length;
-    }
-    double[] newArray = new double[size];
-    int i = 0;
-    for (double[] a : array) {
-      for (double d : a) {
-        newArray[i++] = d;
-      }
-    }
-    return newArray;
-  }
-
-  public static double[][] to2D(double[] array, int dim1Size) {
-    int dim2Size = array.length/dim1Size;
-    return to2D(array, dim1Size, dim2Size);
-  }
-
-  public static double[][] to2D(double[] array, int dim1Size, int dim2Size) {
-    double[][] newArray = new double[dim1Size][dim2Size];
-    int k = 0;
-    for (int i = 0; i < newArray.length; i++) {
-      for (int j = 0; j < newArray[i].length; j++) {
-        newArray[i][j] = array[k++];
-      }
-    }
-    return newArray;
-  }
-
-  /**
-   * Removes the element at the specified index from the array, and returns
-   * a new array containing the remaining elements.  If <tt>index</tt> is
-   * invalid, returns <tt>array</tt> unchanged.
-   */
-  public static double[] removeAt(double[] array, int index) {
-    if (array == null) {
-      return null;
-    }
-    if (index < 0 || index >= array.length) {
-      return array;
-    }
-
-    double[] retVal = new double[array.length - 1];
-    for (int i = 0; i < array.length; i++) {
-      if (i < index) {
-        retVal[i] = array[i];
-      } else if (i > index) {
-        retVal[i - 1] = array[i];
-      }
-    }
-    return retVal;
-  }
-
-  /**
-   * Removes the element at the specified index from the array, and returns
-   * a new array containing the remaining elements.  If <tt>index</tt> is
-   * invalid, returns <tt>array</tt> unchanged.  Uses reflection to determine
-   * the type of the array and returns an array of the appropriate type.
-   */
-  public static Object[] removeAt(Object[] array, int index) {
-    if (array == null) {
-      return null;
-    }
-    if (index < 0 || index >= array.length) {
-      return array;
-    }
-
-    Object[] retVal = (Object[]) Array.newInstance(array[0].getClass(), array.length - 1);
-    for (int i = 0; i < array.length; i++) {
-      if (i < index) {
-        retVal[i] = array[i];
-      } else if (i > index) {
-        retVal[i - 1] = array[i];
-      }
-    }
-    return retVal;
-  }
-
-  public static String toString(int[][] a) {
-    StringBuilder result = new StringBuilder("[");
-    for (int i = 0; i < a.length; i++) {
-      result.append(Arrays.toString(a[i]));
-      if(i < a.length-1)
-        result.append(',');
-      }
-    result.append(']');
-    return result.toString();
-  }
-
-  /**
-   * Tests two int[][] arrays for having equal contents.
-   * @return true iff for each i, <code>equalContents(xs[i],ys[i])</code> is true
-   */
-  public static boolean equalContents(int[][] xs, int[][] ys) {
-    if(xs ==null)
-      return ys == null;
-    if(ys == null)
-      return false;
-    if(xs.length != ys.length)
-      return false;
-    for(int i = xs.length-1; i >= 0; i--) {
-      if(! equalContents(xs[i],ys[i]))
-        return false;
-    }
-    return true;
-  }
-
-  /**
-   * Tests two double[][] arrays for having equal contents.
-   * @return true iff for each i, <code>equals(xs[i],ys[i])</code> is true
-   */
-  public static boolean equals(double[][] xs, double[][] ys) {
-    if(xs == null)
-      return ys == null;
-    if(ys == null)
-      return false;
-    if(xs.length != ys.length)
-      return false;
-    for(int i = xs.length-1; i >= 0; i--) {
-      if(!Arrays.equals(xs[i],ys[i]))
-        return false;
-    }
-    return true;
-  }
-
-
-  /**
-   * tests two int[] arrays for having equal contents
-   * @return true iff xs and ys have equal length, and for each i, <code>xs[i]==ys[i]</code>
-   */
-  public static boolean equalContents(int[] xs, int[] ys) {
-    if(xs.length != ys.length)
-      return false;
-    for(int i = xs.length-1; i >= 0; i--) {
-      if(xs[i] != ys[i])
-        return false;
-    }
-    return true;
-  }
-
-  /**
-   * Tests two boolean[][] arrays for having equal contents.
-   * @return true iff for each i, <code>Arrays.equals(xs[i],ys[i])</code> is true
-   */
-  @SuppressWarnings("null")
-  public static boolean equals(boolean[][] xs, boolean[][] ys) {
-    if(xs == null && ys != null)
-      return false;
-    if(ys == null)
-      return false;
-    if(xs.length != ys.length)
-      return false;
-    for(int i = xs.length-1; i >= 0; i--) {
-      if(! Arrays.equals(xs[i],ys[i]))
-        return false;
-    }
-    return true;
-  }
-
-
-  /** Returns true iff object o equals (not ==) some element of array a. */
-  public static <T> boolean contains(T[] a, T o) {
-    for (T item : a) {
-      if (item.equals(o)) return true;
-    }
-    return false;
-  }
-
-  /** Return a set containing the same elements as the specified array.
-   */
-  public static <T> Set<T> asSet(T[] a) {
-    return new HashSet<T>(Arrays.asList(a));
-  }
-
-  public static void fill(double[][] d, double val) {
-    for (double[] aD : d) {
-      Arrays.fill(aD, val);
-    }
-  }
-
-  public static void fill(double[][][] d, double val) {
-    for (double[][] aD : d) {
-      fill(aD, val);
-    }
-  }
-
-  public static void fill(double[][][][] d, double val) {
-    for (double[][][] aD : d) {
-      fill(aD, val);
-    }
-  }
-
-  public static void fill(boolean[][] d, boolean val) {
-    for (boolean[] aD : d) {
-      Arrays.fill(aD, val);
-    }
-  }
-
-  public static void fill(boolean[][][] d, boolean val) {
-    for (boolean[][] aD : d) {
-      fill(aD, val);
-    }
-  }
-
-  public static void fill(boolean[][][][] d, boolean val) {
-    for (boolean[][][] aD : d) {
-      fill(aD, val);
-    }
-  }
-
-
-
-  /**
-  * Casts to a double array
-  */
-  public static double[] toDouble(float[] a) {
-    double[] d = new double[a.length];
-    for (int i = 0; i < a.length; i++) {
-      d[i] = a[i];
-    }
-    return d;
-  }
-
-  /**
-   * Casts to a double array.
-   */
-  public static double[] toDouble(int[] array) {
-    double[] rv = new double[array.length];
-    for (int i = 0; i < array.length; i++) {
-      rv[i] = array[i];
-    }
-    return rv;
-  }
-
-  /** needed because Arrays.asList() won't to autoboxing,
-   * so if you give it a primitive array you get a
-   * singleton list back with just that array as an element.
-   */
-  public static List<Integer> asList(int[] array) {
-    List<Integer> l = new ArrayList<Integer>();
-    for (int i : array) {
-      l.add(i);
-    }
-    return l;
-  }
-
-
-  public static double[] asPrimitiveDoubleArray(Collection<Double> d) {
-    double[] newD = new double[d.size()];
-    int i = 0;
-    for (Double j : d) {
-      newD[i++] = j;
-    }
-    return newD;
-  }
-
-
-  public static int[] asPrimitiveIntArray(Collection<Integer> d) {
-    int[] newI = new int[d.size()];
-    int i = 0;
-    for (Integer j : d) {
-      newI[i++] = j;
-    }
-    return newI;
-  }
-
-
-  public static int[] copy(int[] i) {
-    if (i == null) { return null; }
-    int[] newI = new int[i.length];
-    System.arraycopy(i, 0, newI, 0, i.length);
-    return newI;
-  }
-
-  public static int[][] copy(int[][] i) {
-    if (i == null) { return null; }
-    int[][] newI = new int[i.length][];
-    for (int j = 0; j < newI.length; j++) {
-      newI[j] = copy(i[j]);
-    }
-    return newI;
-  }
-
-
-  public static double[] copy(double[] d) {
-    if (d == null) { return null; }
-    double[] newD = new double[d.length];
-    System.arraycopy(d, 0, newD, 0, d.length);
-    return newD;
-  }
-
-  public static double[][] copy(double[][] d) {
-    if (d == null) { return null; }
-    double[][] newD = new double[d.length][];
-    for (int i = 0; i < newD.length; i++) {
-      newD[i] = copy(d[i]);
-    }
-    return newD;
-  }
-
-  public static double[][][] copy(double[][][] d) {
-    if (d == null) { return null; }
-    double[][][] newD = new double[d.length][][];
-    for (int i = 0; i < newD.length; i++) {
-      newD[i] = copy(d[i]);
-    }
-    return newD;
-  }
-
-  public static float[] copy(float[] d) {
-    if (d == null) { return null; }
-    float[] newD = new float[d.length];
-    System.arraycopy(d, 0, newD, 0, d.length);
-    return newD;
-  }
-
-  public static float[][] copy(float[][] d) {
-    if (d == null) { return null; }
-    float[][] newD = new float[d.length][];
-    for (int i = 0; i < newD.length; i++) {
-      newD[i] = copy(d[i]);
-    }
-    return newD;
-  }
-
-  public static float[][][] copy(float[][][] d) {
-    if (d == null) { return null; }
-    float[][][] newD = new float[d.length][][];
-    for (int i = 0; i < newD.length; i++) {
-      newD[i] = copy(d[i]);
-    }
-    return newD;
-  }
-
-
-  public static String toString(boolean[][] b) {
-    StringBuilder result = new StringBuilder("[");
-    for (int i = 0; i < b.length; i++) {
-      result.append(Arrays.toString(b[i]));
-      if(i < b.length-1)
-        result.append(',');
-      }
-    result.append(']');
-    return result.toString();
-  }
-
-  public static long[] toPrimitive(Long[] in) {
-    return toPrimitive(in,0L);
-  }
-
-  public static int[] toPrimitive(Integer[] in) {
-    return toPrimitive(in,0);
-  }
-
-  public static short[] toPrimitive(Short[] in) {
-    return toPrimitive(in,(short)0);
-  }
-
-  public static char[] toPrimitive(Character[] in) {
-    return toPrimitive(in,(char)0);
-  }
-
-  public static double[] toPrimitive(Double[] in) {
-    return toPrimitive(in,0.0);
-  }
-
-  public static long[] toPrimitive(Long[] in, long valueForNull) {
-    if (in == null)
-      return null;
-    final long[] out = new long[in.length];
-    for (int i = 0; i < in.length; i++) {
-      Long b = in[i];
-      out[i] = (b == null ? valueForNull : b);
-    }
-    return out;
-  }
-
-  public static int[] toPrimitive(Integer[] in, int valueForNull) {
-    if (in == null)
-      return null;
-    final int[] out = new int[in.length];
-    for (int i = 0; i < in.length; i++) {
-      Integer b = in[i];
-      out[i] = (b == null ? valueForNull : b);
-    }
-    return out;
-  }
-
-   public static short[] toPrimitive(Short[] in, short valueForNull) {
-    if (in == null)
-      return null;
-    final short[] out = new short[in.length];
-    for (int i = 0; i < in.length; i++) {
-      Short b = in[i];
-      out[i] = (b == null ? valueForNull : b);
-    }
-    return out;
-  }
-
-   public static char[] toPrimitive(Character[] in, char valueForNull) {
-    if (in == null)
-      return null;
-    final char[] out = new char[in.length];
-    for (int i = 0; i < in.length; i++) {
-      Character b = in[i];
-      out[i] = (b == null ? valueForNull : b);
-    }
-    return out;
-  }
-
-  public static double[] toPrimitive(Double[] in, double valueForNull) {
-    if (in == null)
-      return null;
-    final double[] out = new double[in.length];
-    for (int i = 0; i < in.length; i++) {
-      Double b = in[i];
-      out[i] = (b == null ? valueForNull : b);
-    }
-    return out;
-  }
-
-  /**
-   * Provides a consistent ordering over arrays. First compares by the first
-   * element. If that element is equal, the next element is considered, and so
-   * on. This is the array version of {@link CollectionUtils.compareLists} and
-   * uses the same logic when the arrays are of different lengths.
-   */
-  public static <T extends Comparable<T>> int compareArrays(T[] first, T[] second) {
-    List<T> firstAsList = Arrays.asList(first);
-    List<T> secondAsList = Arrays.asList(second);
-    return CollectionUtils.compareLists(firstAsList, secondAsList);
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Beam.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Beam.java
deleted file mode 100644
index 0fe10b0..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Beam.java
+++ /dev/null
@@ -1,91 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.*;
-
-/**
- * Implements a finite beam, taking a comparator (default is
- * ScoredComparator.ASCENDING_COMPARATOR, the MAX object according to
- * the comparator is the one to be removed) and a beam size on
- * construction (default is 100).  Adding an object may cause the
- * worst-scored object to be removed from the beam (and that object
- * may well be the newly added object itself).
- *
- * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a>
- * @version 1.0
- */
-public class Beam<T> extends AbstractSet<T> {
-
-  protected int maxBeamSize;
-  protected Heap<T> elements;
-
-  public int capacity() {
-    return maxBeamSize;
-  }
-
-  @Override
-  public int size() {
-    return elements.size();
-  }
-
-  @Override
-  public Iterator<T> iterator() {
-    return asSortedList().iterator();
-  }
-
-  public List<T> asSortedList() {
-    LinkedList<T> list = new LinkedList<T>();
-    for (Iterator<T> i = elements.iterator(); i.hasNext();) {
-      list.addFirst(i.next());
-    }
-    return list;
-  }
-
-  @Override
-  public boolean add(T o) {
-    boolean added = true;
-    elements.add(o);
-    while (size() > capacity()) {
-      Object dumped = elements.extractMin();
-      if (dumped.equals(o)) {
-        added = false;
-      }
-    }
-    return added;
-  }
-
-  @Override
-  public boolean remove(Object o) {
-    //return elements.remove(o);
-    throw new UnsupportedOperationException();
-  }
-
-  public Beam() {
-    this(100);
-  }
-
-  // TODO dlwh: This strikes me as unsafe even now.
-  public Beam(int maxBeamSize) {
-    this(maxBeamSize, ErasureUtils.<Comparator<T>>uncheckedCast(ScoredComparator.ASCENDING_COMPARATOR));
-  }
-
-  public Beam(int maxBeamSize, Comparator<? super T> cmp) {
-    elements = new ArrayHeap<T>(cmp);
-    this.maxBeamSize = maxBeamSize;
-  }
-
-  /*
-   * This is a test
-  public static void main(String[] args) {
-    Beam<ScoredObject> b = new Beam<ScoredObject>(2, ScoredComparator.ASCENDING_COMPARATOR);
-    b.add(new ScoredObject<String>("1", 1.0));
-    b.add(new ScoredObject<String>("2", 2.0));
-    b.add(new ScoredObject<String>("3", 3.0));
-    b.add(new ScoredObject<String>("0", 0.0));
-    for (Iterator<ScoredObject> bI = b.iterator(); bI.hasNext();) {
-      ScoredObject sO = bI.next();
-      System.out.println(sO);
-    }
-  }
-  */
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/BinaryHeapPriorityQueue.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/BinaryHeapPriorityQueue.java
deleted file mode 100644
index a8c2198..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/BinaryHeapPriorityQueue.java
+++ /dev/null
@@ -1,524 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.*;
-
-/**
- * PriorityQueue with explicit double priority values.  Larger doubles are higher priorities.  BinaryHeap-backed.
- *
- * @author Dan Klein
- * @author Christopher Manning
- *         For each entry, uses ~ 24 (entry) + 16? (Map.Entry) + 4 (List entry) = 44 bytes?
- */
-public class BinaryHeapPriorityQueue<E> extends AbstractSet<E> implements PriorityQueue<E>, Iterator<E> {
-
-  /**
-   * An <code>Entry</code> stores an object in the queue along with
-   * its current location (array position) and priority.
-   * uses ~ 8 (self) + 4 (key ptr) + 4 (index) + 8 (priority) = 24 bytes?
-   */
-  private static final class Entry<E> {
-    public E key;
-    public int index;
-    public double priority;
-
-    @Override
-    public String toString() {
-      return key + " at " + index + " (" + priority + ")";
-    }
-  }
-
-  public boolean hasNext() {
-    return size() > 0;
-  }
-
-  public E next() {
-    return removeFirst();
-  }
-
-  public void remove() {
-    throw new UnsupportedOperationException();
-  }
-
-  /**
-   * <code>indexToEntry</code> maps linear array locations (not
-   * priorities) to heap entries.
-   */
-  private List<Entry<E>> indexToEntry;
-
-  /**
-   * <code>keyToEntry</code> maps heap objects to their heap
-   * entries.
-   */
-  private Map<Object,Entry<E>> keyToEntry;
-
-  private Entry<E> parent(Entry<E> entry) {
-    int index = entry.index;
-    return (index > 0 ? getEntry((index - 1) / 2) : null);
-  }
-
-  private Entry<E> leftChild(Entry<E> entry) {
-    int leftIndex = entry.index * 2 + 1;
-    return (leftIndex < size() ? getEntry(leftIndex) : null);
-  }
-
-  private Entry<E> rightChild(Entry<E> entry) {
-    int index = entry.index;
-    int rightIndex = index * 2 + 2;
-    return (rightIndex < size() ? getEntry(rightIndex) : null);
-  }
-
-  private int compare(Entry<E> entryA, Entry<E> entryB) {
-    return compare(entryA.priority, entryB.priority);
-  }
-
-  private static int compare(double a, double b) {
-    double diff = a - b;
-    if (diff > 0.0) {
-      return 1;
-    }
-    if (diff < 0.0) {
-      return -1;
-    }
-    return 0;
-  }
-
-  /**
-   * Structural swap of two entries.
-   *
-   */
-  private void swap(Entry<E> entryA, Entry<E> entryB) {
-    int indexA = entryA.index;
-    int indexB = entryB.index;
-    entryA.index = indexB;
-    entryB.index = indexA;
-    indexToEntry.set(indexA, entryB);
-    indexToEntry.set(indexB, entryA);
-  }
-
-  /**
-   * Remove the last element of the heap (last in the index array).
-   */
-  private void removeLastEntry() {
-    Entry<E> entry = indexToEntry.remove(size() - 1);
-    keyToEntry.remove(entry.key);
-  }
-
-  /**
-   * Get the entry by key (null if none).
-   */
-  private Entry<E> getEntry(E key) {
-    return keyToEntry.get(key);
-  }
-
-  /**
-   * Get entry by index, exception if none.
-   */
-  private Entry<E> getEntry(int index) {
-    Entry<E> entry = indexToEntry.get(index);
-    return entry;
-  }
-
-  private Entry<E> makeEntry(E key) {
-    Entry<E> entry = new Entry<E>();
-    entry.index = size();
-    entry.key = key;
-    entry.priority = Double.NEGATIVE_INFINITY;
-    indexToEntry.add(entry);
-    keyToEntry.put(key, entry);
-    return entry;
-  }
-
-  /**
-   * iterative heapify up: move item o at index up until correctly placed
-   */
-  private void heapifyUp(Entry<E> entry) {
-    while (true) {
-      if (entry.index == 0) {
-        break;
-      }
-      Entry<E> parentEntry = parent(entry);
-      if (compare(entry, parentEntry) <= 0) {
-        break;
-      }
-      swap(entry, parentEntry);
-    }
-  }
-
-  /**
-   * On the assumption that
-   * leftChild(entry) and rightChild(entry) satisfy the heap property,
-   * make sure that the heap at entry satisfies this property by possibly
-   * percolating the element o downwards.  I've replaced the obvious
-   * recursive formulation with an iterative one to gain (marginal) speed
-   */
-  private void heapifyDown(Entry<E> entry) {
-    Entry<E> currentEntry = entry;
-    Entry<E> bestEntry; // initialized below
-
-    do {
-      bestEntry = currentEntry;
-
-      Entry<E> leftEntry = leftChild(currentEntry);
-      if (leftEntry != null) {
-        if (compare(bestEntry, leftEntry) < 0) {
-          bestEntry = leftEntry;
-        }
-      }
-
-      Entry<E> rightEntry = rightChild(currentEntry);
-      if (rightEntry != null) {
-        if (compare(bestEntry, rightEntry) < 0) {
-          bestEntry = rightEntry;
-        }
-      }
-
-      if (bestEntry != currentEntry) {
-        // Swap min and current
-        swap(bestEntry, currentEntry);
-        // at start of next loop, we set currentIndex to largestIndex
-        // this indexation now holds current, so it is unchanged
-      }
-    } while (bestEntry != currentEntry);
-    // System.err.println("Done with heapify down");
-    // verify();
-  }
-
-  private void heapify(Entry<E> entry) {
-    heapifyUp(entry);
-    heapifyDown(entry);
-  }
-
-
-  /**
-   * Finds the object with the highest priority, removes it,
-   * and returns it.
-   *
-   * @return the object with highest priority
-   */
-  public E removeFirst() {
-    E first = getFirst();
-    remove(first);
-    return first;
-  }
-
-  /**
-   * Finds the object with the highest priority and returns it, without
-   * modifying the queue.
-   *
-   * @return the object with minimum key
-   */
-  public E getFirst() {
-    if (isEmpty()) {
-      throw new NoSuchElementException();
-    }
-    return getEntry(0).key;
-  }
-
-  /**
-   * Gets the priority of the highest-priority element of the queue.
-   */
-  public double getPriority() {
-    if (isEmpty()) {
-      throw new NoSuchElementException();
-    }
-    return getEntry(0).priority;
-  }
-
-  /**
-   * Searches for the object in the queue and returns it.  May be useful if
-   * you can create a new object that is .equals() to an object in the queue
-   * but is not actually identical, or if you want to modify an object that is
-   * in the queue.
-   * @return null if the object is not in the queue, otherwise returns the
-   * object.
-   */
-  public E getObject(E key) {
-    if ( ! contains(key)) return null;
-    Entry<E> e = getEntry(key);
-    return e.key;
-  }
-
-  /**
-   * Get the priority of a key -- if the key is not in the queue, Double.NEGATIVE_INFINITY is returned.
-   *
-   */
-  public double getPriority(E key) {
-    Entry<E> entry = getEntry(key);
-    if (entry == null) {
-      return Double.NEGATIVE_INFINITY;
-    }
-    return entry.priority;
-  }
-
-  /**
-   * Adds an object to the queue with the minimum priority
-   * (Double.NEGATIVE_INFINITY).  If the object is already in the queue
-   * with worse priority, this does nothing.  If the object is
-   * already present, with better priority, it will NOT cause an
-   * a decreasePriority.
-   *
-   * @param key an <code>Object</code> value
-   * @return whether the key was present before
-   */
-  @Override
-  public boolean add(E key) {
-    if (contains(key)) {
-      return false;
-    }
-    makeEntry(key);
-    return true;
-  }
-
-  /**
-   * Convenience method for if you want to pretend relaxPriority doesn't exist, or if you really want add's return conditions.
-   */
-  public boolean add(E key, double priority) {
-//    System.err.println("Adding " + key + " with priority " + priority);
-    if (add(key)) {
-      relaxPriority(key, priority);
-      return true;
-    }
-    return false;
-  }
-
-
-  @SuppressWarnings("unchecked")
-  @Override
-  public boolean remove(Object key) {
-    E eKey = (E) key;
-    Entry<E> entry = getEntry(eKey);
-    if (entry == null) {
-      return false;
-    }
-    removeEntry(entry);
-    return true;
-  }
-
-  private void removeEntry(Entry<E> entry) {
-    Entry<E> lastEntry = getLastEntry();
-    if (entry != lastEntry) {
-      swap(entry, lastEntry);
-      removeLastEntry();
-      heapify(lastEntry);
-    } else {
-      removeLastEntry();
-    }
-  }
-
-  private Entry<E> getLastEntry() {
-    return getEntry(size() - 1);
-  }
-
-  /**
-   * Promotes a key in the queue, adding it if it wasn't there already.  If the specified priority is worse than the current priority, nothing happens.  Faster than add if you don't care about whether the key is new.
-   *
-   * @param key an <code>Object</code> value
-   * @return whether the priority actually improved.
-   */
-  public boolean relaxPriority(E key, double priority) {
-    Entry<E> entry = getEntry(key);
-    if (entry == null) {
-      entry = makeEntry(key);
-    }
-    if (compare(priority, entry.priority) <= 0) {
-      return false;
-    }
-    entry.priority = priority;
-    heapifyUp(entry);
-    return true;
-  }
-
-  /**
-   * Demotes a key in the queue, adding it if it wasn't there already.  If the specified priority is better than the current priority, nothing happens.  If you decrease the priority on a non-present key, it will get added, but at it's old implicit priority of Double.NEGATIVE_INFINITY.
-   *
-   * @param key an <code>Object</code> value
-   * @return whether the priority actually improved.
-   */
-  public boolean decreasePriority(E key, double priority) {
-    Entry<E> entry = getEntry(key);
-    if (entry == null) {
-      entry = makeEntry(key);
-    }
-    if (compare(priority, entry.priority) >= 0) {
-      return false;
-    }
-    entry.priority = priority;
-    heapifyDown(entry);
-    return true;
-  }
-
-  /**
-   * Changes a priority, either up or down, adding the key it if it wasn't there already.
-   *
-   * @param key an <code>Object</code> value
-   * @return whether the priority actually changed.
-   */
-  public boolean changePriority(E key, double priority) {
-    Entry<E> entry = getEntry(key);
-    if (entry == null) {
-      entry = makeEntry(key);
-    }
-    if (compare(priority, entry.priority) == 0) {
-      return false;
-    }
-    entry.priority = priority;
-    heapify(entry);
-    return true;
-  }
-
-  /**
-   * Checks if the queue is empty.
-   *
-   * @return a <code>boolean</code> value
-   */
-  @Override
-  public boolean isEmpty() {
-    return indexToEntry.isEmpty();
-  }
-
-  /**
-   * Get the number of elements in the queue.
-   *
-   * @return queue size
-   */
-  @Override
-  public int size() {
-    return indexToEntry.size();
-  }
-
-  /**
-   * Returns whether the queue contains the given key.
-   */
-  @Override
-  public boolean contains(Object key) {
-    return keyToEntry.containsKey(key);
-  }
-
-  public List<E> toSortedList() {
-    List<E> sortedList = new ArrayList<E>(size());
-    BinaryHeapPriorityQueue<E> queue = this.deepCopy();
-    while (!queue.isEmpty()) {
-      sortedList.add(queue.removeFirst());
-    }
-    return sortedList;
-  }
-
-  public BinaryHeapPriorityQueue<E> deepCopy(MapFactory<Object, Entry<E>> mapFactory) {
-    BinaryHeapPriorityQueue<E> queue =
-      new BinaryHeapPriorityQueue<E>(mapFactory);
-    for (Entry<E> entry : keyToEntry.values()) {
-      queue.relaxPriority(entry.key, entry.priority);
-    }
-    return queue;
-  }
-
-  public BinaryHeapPriorityQueue<E> deepCopy() {
-    return deepCopy(MapFactory.<Object,Entry<E>>hashMapFactory());
-  }
-
-  @Override
-  public Iterator<E> iterator() {
-    return Collections.unmodifiableCollection(toSortedList()).iterator();
-  }
-
-  /**
-   * Clears the queue.
-   */
-  @Override
-  public void clear() {
-    indexToEntry.clear();
-    keyToEntry.clear();
-  }
-
-  //  private void verify() {
-  //    for (int i = 0; i < indexToEntry.size(); i++) {
-  //      if (i != 0) {
-  //        // check ordering
-  //        if (compare(getEntry(i), parent(getEntry(i))) < 0) {
-  //          System.err.println("Error in the ordering of the heap! ("+i+")");
-  //          System.exit(0);
-  //        }
-  //      }
-  //      // check placement
-  //      if (i != ((Entry)indexToEntry.get(i)).index)
-  //        System.err.println("Error in placement in the heap!");
-  //    }
-  //  }
-
-  @Override
-  public String toString() {
-    return toString(0);
-  }
-
-  /** {@inheritDoc} */
-  public String toString(int maxKeysToPrint) {
-    if (maxKeysToPrint <= 0) maxKeysToPrint = Integer.MAX_VALUE;
-    List<E> sortedKeys = toSortedList();
-    StringBuilder sb = new StringBuilder("[");
-    for (int i = 0; i < maxKeysToPrint && i < sortedKeys.size(); i++) {
-      E key = sortedKeys.get(i);
-      sb.append(key).append("=").append(getPriority(key));
-      if (i < maxKeysToPrint - 1 && i < sortedKeys.size() - 1) {
-        sb.append(", ");
-      }
-    }
-    sb.append("]");
-    return sb.toString();
-  }
-
-  public String toVerticalString() {
-    List<E> sortedKeys = toSortedList();
-    StringBuilder sb = new StringBuilder();
-    for (Iterator<E> keyI = sortedKeys.iterator(); keyI.hasNext();) {
-      E key = keyI.next();
-      sb.append(key);
-      sb.append("\t");
-      sb.append(getPriority(key));
-      if (keyI.hasNext()) {
-        sb.append("\n");
-      }
-    }
-    return sb.toString();
-  }
-
-
-  public BinaryHeapPriorityQueue() {
-    this(MapFactory.<Object,Entry<E>>hashMapFactory());
-  }
-  
-  public BinaryHeapPriorityQueue(int initCapacity) {
-	  this(MapFactory.<Object,Entry<E>>hashMapFactory(),initCapacity);
-  }
-
-  public BinaryHeapPriorityQueue(MapFactory<Object, Entry<E>> mapFactory) {
-    indexToEntry = new ArrayList<Entry<E>>();
-    keyToEntry = mapFactory.newMap();
-  }
-  
-  public BinaryHeapPriorityQueue(MapFactory<Object, Entry<E>> mapFactory, int initCapacity) {
-	indexToEntry = new ArrayList<Entry<E>>(initCapacity);
-	keyToEntry = mapFactory.newMap(initCapacity);
-  }
-
-  public static void main(String[] args) {
-    BinaryHeapPriorityQueue<String> queue =
-      new BinaryHeapPriorityQueue<String>();
-    queue.add("a", 1.0);
-    System.out.println("Added a:1 " + queue);
-    queue.add("b", 2.0);
-    System.out.println("Added b:2 " + queue);
-    queue.add("c", 1.5);
-    System.out.println("Added c:1.5 " + queue);
-    queue.relaxPriority("a", 3.0);
-    System.out.println("Increased a to 3 " + queue);
-    queue.decreasePriority("b", 0.0);
-    System.out.println("Decreased b to 0 " + queue);
-    System.out.println("removeFirst()=" + queue.removeFirst());
-    System.out.println("queue=" + queue);
-    System.out.println("removeFirst()=" + queue.removeFirst());
-    System.out.println("queue=" + queue);
-    System.out.println("removeFirst()=" + queue.removeFirst());
-    System.out.println("queue=" + queue);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ByteStreamGobbler.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ByteStreamGobbler.java
deleted file mode 100644
index 7ed0933..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ByteStreamGobbler.java
+++ /dev/null
@@ -1,62 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.*;
-
-/**
- * Stream Gobbler that read and write bytes
- * (can be used to gobble byte based stdout from a process.exec into a file)
- *
- * @author Angel Chang
- */
-public class ByteStreamGobbler extends Thread {
-  InputStream inStream;
-  OutputStream outStream;
-  int bufferSize = 4096;
-
-  public ByteStreamGobbler(InputStream is, OutputStream out) {
-    this.inStream = new BufferedInputStream(is);
-    this.outStream = new BufferedOutputStream(out);
-  }
-
-  public ByteStreamGobbler(String name, InputStream is, OutputStream out) {
-    super(name);
-    this.inStream = new BufferedInputStream(is);
-    this.outStream = new BufferedOutputStream(out);
-  }
-
-  public ByteStreamGobbler(String name, InputStream is, OutputStream out, int bufferSize) {
-    super(name);
-    this.inStream = new BufferedInputStream(is);
-    this.outStream = new BufferedOutputStream(out);
-    if (bufferSize <= 0) {
-      throw new IllegalArgumentException("Invalid buffer size " + bufferSize + ": must be larger than 0");
-    }
-    this.bufferSize = bufferSize;
-  }
-
-  public InputStream getInputStream()
-  {
-    return inStream;
-  }
-
-  public OutputStream getOutputStream()
-  {
-    return outStream;
-  }
-
-  public void run() {
-    try {
-      byte[] b = new byte[bufferSize];
-      int bytesRead;
-      while ((bytesRead = inStream.read(b)) >= 0) {
-        if (bytesRead > 0) {
-          outStream.write(b, 0, bytesRead);
-        }
-      }
-      inStream.close();
-    } catch (Exception ex) {
-      System.out.println("Problem reading stream :"+inStream.getClass().getCanonicalName()+ " "+ ex);
-      ex.printStackTrace();
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/CollectionFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/CollectionFactory.java
deleted file mode 100644
index 94f9b2a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/CollectionFactory.java
+++ /dev/null
@@ -1,131 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.Serializable;
-import java.util.*;
-
-/**
- * Factory for vending Collections.  It's a class instead of an interface because I guessed that it'd primarily be used for its inner classes.
- *
- * @author Dan Klein (klein@cs.stanford.edu)
- */
-public abstract class CollectionFactory<T> implements Serializable {
-
-  private static final long serialVersionUID = 3711321773145894069L;
-  @SuppressWarnings("unchecked")
-  public static final CollectionFactory ARRAY_LIST_FACTORY = new ArrayListFactory();
-  @SuppressWarnings("unchecked")
-  public static final CollectionFactory LINKED_LIST_FACTORY = new LinkedListFactory();
-  @SuppressWarnings("unchecked")
-  public static final CollectionFactory HASH_SET_FACTORY = new HashSetFactory();
-  @SuppressWarnings("unchecked")
-  public static final CollectionFactory TREE_SET_FACTORY = new TreeSetFactory();
-
-
-  public abstract Collection<T> newCollection();
-
-  public abstract Collection<T> newEmptyCollection();
-
-
-  /** Return a factory for making ArrayList Collections.
-   *  This method allows type safety in calling code.
-   *
-   *  @return A factory for ArrayList collections.
-   */
-  public static <E> CollectionFactory<E> arrayListFactory() {
-    return ErasureUtils.uncheckedCast(ARRAY_LIST_FACTORY);
-  }
-
-  public static <E> CollectionFactory<E> arrayListFactory(int size) {
-    return ErasureUtils.uncheckedCast(new SizedArrayListFactory(size));
-  }
-
-  public static <E> CollectionFactory<E> linkedListFactory() {
-    return ErasureUtils.uncheckedCast(LINKED_LIST_FACTORY);
-  }
-
-  public static <E> CollectionFactory<E> hashSetFactory() {
-    return ErasureUtils.uncheckedCast(HASH_SET_FACTORY);
-  }
-
-  public static <E> CollectionFactory<E> treeSetFactory() {
-    return ErasureUtils.uncheckedCast(TREE_SET_FACTORY);
-  }
-
-  public static class ArrayListFactory<T> extends CollectionFactory<T> {
-    private static final long serialVersionUID = 1L;
-
-    @Override
-    public Collection<T> newCollection() {
-      return new ArrayList<T>();
-    }
-
-    @Override
-    public Collection<T> newEmptyCollection() {
-      return Collections.emptyList();
-    }
-  }
-
-  public static class SizedArrayListFactory<T> extends CollectionFactory<T> {
-    private static final long serialVersionUID = 1L;
-    private int defaultSize = 1;
-
-    public SizedArrayListFactory(int size)
-    {
-      this.defaultSize = size;
-    }
-
-    @Override
-    public Collection<T> newCollection() {
-      return new ArrayList<T>(defaultSize);
-    }
-
-    @Override
-    public Collection<T> newEmptyCollection() {
-      return Collections.emptyList();
-    }
-  }
-
-  public static class LinkedListFactory<T> extends CollectionFactory<T> {
-    private static final long serialVersionUID = -4236184979948498000L;
-
-    @Override
-    public Collection<T> newCollection() {
-      return new LinkedList<T>();
-    }
-
-    @Override
-    public Collection<T> newEmptyCollection() {
-      return Collections.emptyList();
-    }
-  }
-
-
-  public static class HashSetFactory<T> extends CollectionFactory<T> {
-    private static final long serialVersionUID = -6268401669449458602L;
-
-    @Override
-    public Collection<T> newCollection() {
-      return new HashSet<T>();
-    }
-
-    @Override
-    public Collection<T> newEmptyCollection() {
-      return Collections.emptySet();
-    }
-  }
-
-  public static class TreeSetFactory<T> extends CollectionFactory<T> {
-    private static final long serialVersionUID = -3451920268219478134L;
-
-    @Override
-    public Collection<T> newCollection() {
-      return new TreeSet<T>();
-    }
-
-    @Override
-    public Collection<T> newEmptyCollection() {
-      return Collections.emptySet();
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/CollectionUtils.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/CollectionUtils.java
deleted file mode 100644
index 72425c3..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/CollectionUtils.java
+++ /dev/null
@@ -1,734 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.BufferedReader;
-import java.io.FileReader;
-import java.io.File;
-import java.io.IOException;
-import java.lang.reflect.Constructor;
-import java.lang.reflect.InvocationTargetException;
-import java.util.*;
-
-/**
- * Collection of useful static methods for working with Collections. Includes
- * methods to increment counts in maps and cast list/map elements to common
- * types.
- * 
- * @author Joseph Smarr (jsmarr@stanford.edu)
- */
-public class CollectionUtils {
-  /**
-   * Private constructor to prevent direct instantiation.
-   */
-  private CollectionUtils() {
-  }
-
-  // Utils for making collections out of arrays of primitive types.
-
-  public static List<Integer> asList(int[] a) {
-    List<Integer> result = new ArrayList<Integer>();
-    for (int i = 0; i < a.length; i++) {
-      result.add(Integer.valueOf(a[i]));
-    }
-    return result;
-  }
-
-  public static List<Double> asList(double[] a) {
-    List<Double> result = new ArrayList<Double>();
-    for (int i = 0; i < a.length; i++) {
-      result.add(new Double(a[i]));
-    }
-    return result;
-  }
-
-  /** Returns a new List containing the specified objects. */
-  public static List<Object> asList(Object... args) {
-    List<Object> result = new ArrayList<Object>();
-    for (int i = 0; i < args.length; i++) {
-      result.add(args[i]);
-    }
-    return result;
-  }
-
-  /** Returns a new List containing the given object. */
-  public static <T> List<T> makeList(T e) {
-    List<T> s = new ArrayList<T>();
-    s.add(e);
-    return s;
-  }
-
-  /** Returns a new List containing the given objects. */
-  public static <T> List<T> makeList(T e1, T e2) {
-    List<T> s = new ArrayList<T>();
-    s.add(e1);
-    s.add(e2);
-    return s;
-  }
-
-  /** Returns a new List containing the given objects. */
-  public static <T> List<T> makeList(T e1, T e2, T e3) {
-    List<T> s = new ArrayList<T>();
-    s.add(e1);
-    s.add(e2);
-    s.add(e3);
-    return s;
-  }
-
-  /** Returns a new Set containing all the objects in the specified array. */
-  public static <T> Set<T> asSet(T[] o) {
-    return new HashSet<T>(Arrays.asList(o));
-  }
-
-  public static <T> Set<T> intersection(Set<T> set1, Set<T> set2) {
-    Set<T> intersect = new HashSet<T>();
-    for (T t : set1) {
-      if (set2.contains(t)) {
-        intersect.add(t);
-      }
-    }
-    return intersect;
-  }
-
-  public static <T> Collection<T> union(Collection<T> set1, Collection<T> set2) {
-    Collection<T> union = new ArrayList<T>();
-    for (T t : set1) {
-      union.add(t);
-    }
-    for (T t : set2) {
-      union.add(t);
-    }
-    return union;
-  }
-
-  /**
-   * all objects in list1 that are not in list2
-   * 
-   * @param <T>
-   * @param list1 First collection
-   * @param list2 Second collection
-   * @return The collection difference list1 - list2
-   */
-  public static <T> Collection<T> diff(Collection<T> list1, Collection<T> list2) {
-    Collection<T> diff = new ArrayList<T>();
-    for (T t : list1) {
-      if (!list2.contains(t)) {
-        diff.add(t);
-      }
-    }
-    return diff;
-  }
-
-  // Utils for loading and saving Collections to/from text files
-
-  /**
-   * @param filename
-   *          the path to the file to load the List from
-   * @param c
-   *          the Class to instantiate each member of the List. Must have a
-   *          String constructor.
-   */
-  public static <T> Collection<T> loadCollection(String filename, Class<T> c, CollectionFactory<T> cf) throws Exception {
-    return loadCollection(new File(filename), c, cf);
-  }
-
-  /**
-   * @param file
-   *          the file to load the List from
-   * @param c
-   *          the Class to instantiate each member of the List. Must have a
-   *          String constructor.
-   */
-  public static <T> Collection<T> loadCollection(File file, Class<T> c, CollectionFactory<T> cf) throws Exception {
-    Constructor<T> m = c.getConstructor(new Class[] { Class.forName("java.lang.String") });
-    Collection<T> result = cf.newCollection();
-    BufferedReader in = new BufferedReader(new FileReader(file));
-    String line = in.readLine();
-    while (line != null && line.length() > 0) {
-      try {
-        T o = m.newInstance(line);
-        result.add(o);
-      } catch (Exception e) {
-        System.err.println("Couldn't build object from line: " + line);
-        e.printStackTrace();
-      }
-      line = in.readLine();
-    }
-    in.close();
-    return result;
-  }
-
-  /**
-   * Adds the items from the file to the collection.
-   * 
-   * @param <T>
-   *          The type of the items.
-   * @param fileName
-   *          The name of the file from which items should be loaded.
-   * @param itemClass
-   *          The class of the items (must have a constructor that accepts a
-   *          String).
-   * @param collection
-   *          The collection to which items should be added.
-   */
-  public static <T> void loadCollection(String fileName, Class<T> itemClass, Collection<T> collection)
-      throws NoSuchMethodException, InstantiationException, IllegalAccessException, InvocationTargetException,
-      IOException {
-    loadCollection(new File(fileName), itemClass, collection);
-  }
-
-  /**
-   * Adds the items from the file to the collection.
-   * 
-   * @param <T>
-   *          The type of the items.
-   * @param file
-   *          The file from which items should be loaded.
-   * @param itemClass
-   *          The class of the items (must have a constructor that accepts a
-   *          String).
-   * @param collection
-   *          The collection to which items should be added.
-   */
-  public static <T> void loadCollection(File file, Class<T> itemClass, Collection<T> collection)
-      throws NoSuchMethodException, InstantiationException, IllegalAccessException, InvocationTargetException,
-      IOException {
-    Constructor<T> itemConstructor = itemClass.getConstructor(String.class);
-    BufferedReader in = new BufferedReader(new FileReader(file));
-    String line = in.readLine();
-    while (line != null && line.length() > 0) {
-      T t = itemConstructor.newInstance(line);
-      collection.add(t);
-      line = in.readLine();
-    }
-    in.close();
-  }
-
-  public static <K, V> Map<K, V> getMapFromString(String s, Class<K> keyClass, Class<V> valueClass,
-      MapFactory<K, V> mapFactory) throws ClassNotFoundException, NoSuchMethodException, IllegalAccessException,
-      InvocationTargetException, InstantiationException {
-    Constructor<K> keyC = keyClass.getConstructor(new Class[] { Class.forName("java.lang.String") });
-    Constructor<V> valueC = valueClass.getConstructor(new Class[] { Class.forName("java.lang.String") });
-    if (s.charAt(0) != '{')
-      throw new RuntimeException("");
-    s = s.substring(1); // get rid of first brace
-    String[] fields = s.split("\\s+");
-    Map<K, V> m = mapFactory.newMap();
-    // populate m
-    for (int i = 0; i < fields.length; i++) {
-      // System.err.println("Parsing " + fields[i]);
-      fields[i] = fields[i].substring(0, fields[i].length() - 1); // get rid of
-                                                                  // following
-                                                                  // comma or
-                                                                  // brace
-      String[] a = fields[i].split("=");
-      K key = keyC.newInstance(a[0]);
-      V value;
-      if (a.length > 1) {
-        value = valueC.newInstance(a[1]);
-      } else {
-        value = valueC.newInstance("");
-      }
-      m.put(key, value);
-    }
-    return m;
-  }
-
-  /**
-   * Checks whether a Collection contains a specified Object. Object equality
-   * (==), rather than .equals(), is used.
-   */
-  public static <T> boolean containsObject(Collection<T> c, T o) {
-    for (Object o1 : c) {
-      if (o == o1) {
-        return true;
-      }
-    }
-    return false;
-  }
-
-  /**
-   * Removes the first occurrence in the list of the specified object, using
-   * object identity (==) not equality as the criterion for object presence. If
-   * this list does not contain the element, it is unchanged.
-   * 
-   * @param l
-   *          The {@link List} from which to remove the object
-   * @param o
-   *          The object to be removed.
-   * @return Whether or not the List was changed.
-   */
-  public static <T> boolean removeObject(List<T> l, T o) {
-    int i = 0;
-    for (Object o1 : l) {
-      if (o == o1) {
-        l.remove(i);
-        return true;
-      } else
-        i++;
-    }
-    return false;
-  }
-
-  /**
-   * Returns the index of the first occurrence in the list of the specified
-   * object, using object identity (==) not equality as the criterion for object
-   * presence. If this list does not contain the element, return -1.
-   * 
-   * @param l
-   *          The {@link List} to find the object in.
-   * @param o
-   *          The sought-after object.
-   * @return Whether or not the List was changed.
-   */
-  public static <T> int getIndex(List<T> l, T o) {
-    int i = 0;
-    for (Object o1 : l) {
-      if (o == o1)
-        return i;
-      else
-        i++;
-    }
-    return -1;
-  }
-
-  /**
-   * Returns the index of the first occurrence after the startIndex (exclusive)
-   * in the list of the specified object, using object equals function. If this list does not
-   * contain the element, return -1.
-   * 
-   * @param l The {@link List} to find the object in.
-   * @param o The sought-after object.
-   * @param fromIndex The start index
-   * @return Whether or not the List was changed.
-   */
-  public static <T> int getIndex(List<T> l, T o, int fromIndex) {
-    int i = -1;
-    for (T o1 : l) {
-      i++;
-      if (i < fromIndex) {
-        continue;
-      }
-      if (o.equals(o1)) {
-        return i;
-      }
-    }
-    return -1;
-  }
-
-  /**
-   * Samples without replacement from a collection.
-   * 
-   * @param c
-   *          The collection to be sampled from
-   * @param n
-   *          The number of samples to take
-   * @return a new collection with the sample
-   */
-  public static <E> Collection<E> sampleWithoutReplacement(Collection<E> c, int n) {
-    return sampleWithoutReplacement(c, n, new Random());
-  }
-
-  /**
-   * Samples without replacement from a collection, using your own
-   * {@link Random} number generator.
-   * 
-   * @param c
-   *          The collection to be sampled from
-   * @param n
-   *          The number of samples to take
-   * @param r
-   *          the random number generator
-   * @return a new collection with the sample
-   */
-  public static <E> Collection<E> sampleWithoutReplacement(Collection<E> c, int n, Random r) {
-    if (n < 0)
-      throw new IllegalArgumentException("n < 0: " + n);
-    if (n > c.size())
-      throw new IllegalArgumentException("n > size of collection: " + n + ", " + c.size());
-    List<E> copy = new ArrayList<E>(c.size());
-    copy.addAll(c);
-    Collection<E> result = new ArrayList<E>(n);
-    for (int k = 0; k < n; k++) {
-      double d = r.nextDouble();
-      int x = (int) (d * copy.size());
-      result.add(copy.remove(x));
-    }
-    return result;
-  }
-
-  public static <E> E sample(List<E> l, Random r) {
-    int i = r.nextInt(l.size());
-    return l.get(i);
-  }
-
-  /**
-   * Samples with replacement from a collection
-   * 
-   * @param c
-   *          The collection to be sampled from
-   * @param n
-   *          The number of samples to take
-   * @return a new collection with the sample
-   */
-  public static <E> Collection<E> sampleWithReplacement(Collection<E> c, int n) {
-    return sampleWithReplacement(c, n, new Random());
-  }
-
-  /**
-   * Samples with replacement from a collection, using your own {@link Random}
-   * number generator
-   * 
-   * @param c
-   *          The collection to be sampled from
-   * @param n
-   *          The number of samples to take
-   * @param r
-   *          the random number generator
-   * @return a new collection with the sample
-   */
-  public static <E> Collection<E> sampleWithReplacement(Collection<E> c, int n, Random r) {
-    if (n < 0)
-      throw new IllegalArgumentException("n < 0: " + n);
-    List<E> copy = new ArrayList<E>(c.size());
-    copy.addAll(c);
-    Collection<E> result = new ArrayList<E>(n);
-    for (int k = 0; k < n; k++) {
-      double d = r.nextDouble();
-      int x = (int) (d * copy.size());
-      result.add(copy.get(x));
-    }
-    return result;
-  }
-
-  /**
-   * Returns true iff l1 is a sublist of l (i.e., every member of l1 is in l,
-   * and for every e1 < e2 in l1, there is an e1 < e2 occurrence in l).
-   */
-  public static <T> boolean isSubList(List<T> l1, List<? super T> l) {
-    Iterator<? super T> it = l.iterator();
-    Iterator<T> it1 = l1.iterator();
-    while (it1.hasNext()) {
-      Object o1 = it1.next();
-      if (!it.hasNext())
-        return false;
-      Object o = it.next();
-      while ((o == null && !(o1 == null)) || (o != null && !o.equals(o1))) {
-        if (!it.hasNext())
-          return false;
-        o = it.next();
-      }
-    }
-    return true;
-  }
-
-  public static <K, V> String toVerticalString(Map<K, V> m) {
-    StringBuilder b = new StringBuilder();
-    Set<Map.Entry<K, V>> entries = m.entrySet();
-    for (Map.Entry<K, V> e : entries) {
-      b.append(e.getKey() + "=" + e.getValue() + "\n");
-    }
-    return b.toString();
-  }
-  
-  /**
-   * Provides a consistent ordering over lists. First compares by the first
-   * element. If that element is equal, the next element is considered, and so
-   * on.
-   */
-  public static <T extends Comparable<T>> int compareLists(List<T> list1, List<T> list2) {
-    if (list1 == null && list2 == null)
-      return 0;
-    if (list1 == null || list2 == null) {
-      throw new IllegalArgumentException();
-    }
-    int size1 = list1.size();
-    int size2 = list2.size();
-    int size = Math.min(size1, size2);
-    for (int i = 0; i < size; i++) {
-      int c = list1.get(i).compareTo(list2.get(i));
-      if (c != 0)
-        return c;
-    }
-    if (size1 < size2)
-      return -1;
-    if (size1 > size2)
-      return 1;
-    return 0;
-  }
-
-  public static <C extends Comparable<C>> Comparator<List<C>> getListComparator() {
-    return new Comparator<List<C>>() {
-      public int compare(List<C> list1, List<C> list2) {
-        return compareLists(list1, list2);
-      }
-    };
-  }
-
-  /**
-   * Return the items of an Iterable as a sorted list.
-   * 
-   * @param <T>
-   *          The type of items in the Iterable.
-   * @param items
-   *          The collection to be sorted.
-   * @return A list containing the same items as the Iterable, but sorted.
-   */
-  public static <T extends Comparable<T>> List<T> sorted(Iterable<T> items) {
-    List<T> result = toList(items);
-    Collections.sort(result);
-    return result;
-  }
-
-  /**
-   * Create a list out of the items in the Iterable.
-   * 
-   * @param <T>
-   *          The type of items in the Iterable.
-   * @param items
-   *          The items to be made into a list.
-   * @return A list consisting of the items of the Iterable, in the same order.
-   */
-  public static <T> List<T> toList(Iterable<T> items) {
-    List<T> list = new ArrayList<T>();
-    addAll(list, items);
-    return list;
-  }
-
-  /**
-   * Create a set out of the items in the Iterable.
-   * 
-   * @param <T>
-   *          The type of items in the Iterable.
-   * @param items
-   *          The items to be made into a set.
-   * @return A set consisting of the items from the Iterable.
-   */
-  public static <T> Set<T> toSet(Iterable<T> items) {
-    Set<T> set = new HashSet<T>();
-    addAll(set, items);
-    return set;
-  }
-
-  /**
-   * Add all the items from an iterable to a collection.
-   * 
-   * @param <T>
-   *          The type of items in the iterable and the collection
-   * @param collection
-   *          The collection to which the items should be added.
-   * @param items
-   *          The items to add to the collection.
-   */
-  public static <T> void addAll(Collection<T> collection, Iterable<? extends T> items) {
-    for (T item : items) {
-      collection.add(item);
-    }
-  }
-
-  /**
-   * Get all sub-lists of the given list of the given sizes.
-   * 
-   * For example:
-   * 
-   * <pre>
-   * List&lt;String&gt; items = Arrays.asList(&quot;a&quot;, &quot;b&quot;, &quot;c&quot;, &quot;d&quot;);
-   * System.out.println(CollectionUtils.getNGrams(items, 1, 2));
-   * </pre>
-   * 
-   * would print out:
-   * 
-   * <pre>
-   * [[a], [a, b], [b], [b, c], [c], [c, d], [d]]
-   * </pre>
-   * 
-   * @param <T>
-   *          The type of items contained in the list.
-   * @param items
-   *          The list of items.
-   * @param minSize
-   *          The minimum size of an ngram.
-   * @param maxSize
-   *          The maximum size of an ngram.
-   * @return All sub-lists of the given sizes.
-   */
-  public static <T> List<List<T>> getNGrams(List<T> items, int minSize, int maxSize) {
-    List<List<T>> ngrams = new ArrayList<List<T>>();
-    int listSize = items.size();
-    for (int i = 0; i < listSize; ++i) {
-      for (int ngramSize = minSize; ngramSize <= maxSize; ++ngramSize) {
-        if (i + ngramSize <= listSize) {
-          List<T> ngram = new ArrayList<T>();
-          for (int j = i; j < i + ngramSize; ++j) {
-            ngram.add(items.get(j));
-          }
-          ngrams.add(ngram);
-        }
-      }
-    }
-    return ngrams;
-  }
-
-  /**
-   * Get all prefix/suffix combinations from a list. It can extract just
-   * prefixes, just suffixes, or prefixes and suffixes of the same length.
-   * 
-   * For example:
-   * 
-   * <pre>
-   * List&lt;String&gt; items = Arrays.asList(&quot;a&quot;, &quot;b&quot;, &quot;c&quot;, &quot;d&quot;);
-   * System.out.println(CollectionUtils.getPrefixesAndSuffixes(items, 1, 2, null, true, true));
-   * </pre>
-   * 
-   * would print out:
-   * 
-   * <pre>
-   * [[d], [a], [a, d], [d, c], [a, b], [a, b, c, d]]
-   * </pre>
-   * 
-   * and
-   * 
-   * <pre>
-   * List&lt;String&gt; items2 = Arrays.asList(&quot;a&quot;);
-   * System.out.println(CollectionUtils.getPrefixesAndSuffixes(items2, 1, 2, null, true, true));
-   * </pre>
-   * 
-   * would print:
-   * 
-   * <pre>
-   * [[a], [a], [a, a], [a, null], [a, null], [a, null, a, null]]
-   * </pre>
-   * 
-   * @param <T>
-   *          The type of items contained in the list.
-   * @param items
-   *          The list of items.
-   * @param minSize
-   *          The minimum length of a prefix/suffix span (should be at least 1)
-   * @param maxSize
-   *          The maximum length of a prefix/suffix span
-   * @param paddingSymbol
-   *          Symbol to be included if we run out of bounds (e.g. if items has
-   *          size 3 and we try to extract a span of length 4).
-   * @param includePrefixes
-   *          whether to extract prefixes
-   * @param includeSuffixes
-   *          whether to extract suffixes
-   * @return All prefix/suffix combinations of the given sizes.
-   */
-  public static <T> List<List<T>> getPrefixesAndSuffixes(List<T> items, int minSize, int maxSize, T paddingSymbol,
-      boolean includePrefixes, boolean includeSuffixes) {
-    assert minSize > 0;
-    assert maxSize >= minSize;
-    assert includePrefixes || includeSuffixes;
-
-    List<List<T>> prefixesAndSuffixes = new ArrayList<List<T>>();
-    for (int span = minSize - 1; span < maxSize; span++) {
-      List<Integer> indices = new ArrayList<Integer>();
-      List<T> seq = new ArrayList<T>();
-      if (includePrefixes) {
-        for (int i = 0; i <= span; i++) {
-          indices.add(i);
-        }
-      }
-      if (includeSuffixes) {
-        int maxIndex = items.size() - 1;
-        for (int i = span; i >= 0; i--) {
-          indices.add(maxIndex - i);
-        }
-      }
-
-      for (int i : indices) {
-        try {
-          seq.add(items.get(i));
-        } catch (IndexOutOfBoundsException ioobe) {
-          seq.add(paddingSymbol);
-        }
-      }
-
-      prefixesAndSuffixes.add(seq);
-    }
-
-    return prefixesAndSuffixes;
-  }
-
-  public static <T,M> List<T> mergeList(List<? extends T> list,
-                                        Collection<M> matched,
-                                        Function<M, Interval<Integer>> toIntervalFunc,
-                                        Function<List<? extends T>, T> aggregator)
-  {
-    List<Interval<Integer>> matchedIntervals = new ArrayList<Interval<Integer>>(matched.size());
-    for (M m:matched) {
-      matchedIntervals.add(toIntervalFunc.apply(m));
-    }
-    return mergeList(list, matchedIntervals, aggregator);
-  }
-
-  public static <T> List<T> mergeList(List<? extends T> list,
-                                      List<? extends HasInterval<Integer>> matched,
-                                      Function<List<? extends T>, T> aggregator)
-  {
-    Collections.sort(matched, HasInterval.OFFSET_COMPARATOR);
-    return mergeListWithSortedMatched(list, matched, aggregator);
-  }
-
-  public static <T> List<T> mergeListWithSortedMatched(
-          List<? extends T> list,
-          List<? extends HasInterval<Integer>> matched,
-          Function<List<? extends T>, T> aggregator)
-  {
-    List<T> merged = new ArrayList<T>(list.size());   // Approximate size
-    int last = 0;
-    for (HasInterval<Integer> m:matched) {
-      Interval<Integer> interval = m.getInterval();
-      int start = interval.getBegin();
-      int end = interval.getEnd();
-      if (start >= last) {
-        merged.addAll(list.subList(last,start));
-        T t = aggregator.apply(list.subList(start,end));
-        merged.add(t);
-        last = end;
-      }
-    }
-    // Add rest of elements
-    if (last < list.size()) {
-      merged.addAll(list.subList(last, list.size()));
-    }
-    return merged;
-  }
-
-  public static <T> List<T> mergeListWithSortedMatchedPreAggregated(
-          List<? extends T> list,
-          List<? extends T> matched,
-          Function<T, Interval<Integer>> toIntervalFunc)
-  {
-    List<T> merged = new ArrayList<T>(list.size());   // Approximate size
-    int last = 0;
-    for (T m:matched) {
-      Interval<Integer> interval = toIntervalFunc.apply(m);
-      int start = interval.getBegin();
-      int end = interval.getEnd();
-      if (start >= last) {
-        merged.addAll(list.subList(last,start));
-        merged.add(m);
-        last = end;
-      }
-    }
-    // Add rest of elements
-    if (last < list.size()) {
-      merged.addAll(list.subList(last, list.size()));
-    }
-    return merged;
-  }
-
-  /**
-   * Makes it possible to uniquify a collection of objects which are normally
-   * non-hashable. Alternatively, it lets you define an alternate hash function
-   * for them for limited-use hashing.
-   */
-  public static <ObjType,Hashable> Collection<ObjType> uniqueNonhashableObjects(Collection<ObjType> objects, Function<ObjType, Hashable> customHasher) {
-    Map<Hashable, ObjType> hashesToObjects = new HashMap<Hashable, ObjType>();
-    for (ObjType object : objects) {
-      hashesToObjects.put(customHasher.apply(object), object);
-    }
-    return hashesToObjects.values();
-  } 
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/CollectionValuedMap.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/CollectionValuedMap.java
deleted file mode 100644
index e8e3382..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/CollectionValuedMap.java
+++ /dev/null
@@ -1,405 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.Serializable;
-import java.util.Collection;
-import java.util.Collections;
-import java.util.Iterator;
-import java.util.Map;
-import java.util.Random;
-import java.util.Set;
-
-/**
- * Map from keys to {@link Collection}s.
- * Important methods are the {@link #add} and {@link #remove} methods for adding and removing a value
- * to/from the Collection associated with the key, and the {@link #get} method for
- * getting the Collection associated with a key.
- * The class is quite general, because on construction, it is possible to pass a {@link MapFactory}
- * which will be used to create the underlying map and a {@link CollectionFactory} which will
- * be used to create the Collections. Thus this class can be configured to act like a "HashSetValuedMap"
- * or a "ListValuedMap", or even a "HashSetValuedIdentityHashMap". The possibilities are endless!
- *
- * @param <K> Key type of map
- * @param <V> Type of the Collection that is the Map's value
- * @author Teg Grenager (grenager@cs.stanford.edu)
- * @author Sarah Spikes (sdspikes@cs.stanford.edu) - cleanup and filling in types
- */
-public class CollectionValuedMap<K, V> implements Map<K, Collection<V>>, Serializable {
-
-  private static final long serialVersionUID = -9064664153962599076l;
-  private Map<K, Collection<V>> map;
-  protected CollectionFactory<V> cf;
-  private boolean treatCollectionsAsImmutable;
-  protected MapFactory<K, Collection<V>> mf;
-
-  /**
-   * Replaces current Collection mapped to key with the specified Collection. Use carefully!
-   *
-   */
-  public Collection<V> put(K key, Collection<V> collection) {
-    return map.put(key, collection);
-  }
-
-  /**
-   * Unsupported. Use {@link #addAll(Map)} instead.
-   */
-  public void putAll(Map<? extends K, ? extends Collection<V>> m) {
-    throw new UnsupportedOperationException();
-  }
-
-  /**
-   * The empty collection to be returned when a <code>get</code>
-   * doesn't find the key.  The collection returned should be empty,
-   * such as Collections.emptySet, for example.
-   */
-  private final Collection<V> emptyValue;
-
-  /**
-   * @return the Collection mapped to by key, never null, but may be empty.
-   */
-  public Collection<V> get(Object key) {
-    Collection<V> c = map.get(key);
-    if (c == null) {
-      c = emptyValue;
-    }
-    return c;
-  }
-
-  /**
-   * Adds the value to the Collection mapped to by the key.
-   *
-   */
-  public void add(K key, V value) {
-    if (treatCollectionsAsImmutable) {
-      Collection<V> newC = cf.newCollection();
-      Collection<V> c = map.get(key);
-      if (c != null) {
-        newC.addAll(c);
-      }
-      newC.add(value);
-      map.put(key, newC); // replacing the old collection
-    } else {
-      Collection<V> c = map.get(key);
-      if (c == null) {
-        c = cf.newCollection();
-        map.put(key, c);
-      }
-      c.add(value); // modifying to old collection
-    }
-  }
-
-  /**
-   * Adds all of the mappings in m to this CollectionValuedMap.
-   * If m is a CollectionValuedMap, it will behave strangely. Use the constructor instead.
-   *
-   */
-  public void addAll(Map<K, V> m) {
-    if (m instanceof CollectionValuedMap) {
-      throw new UnsupportedOperationException();
-    }
-    for ( Map.Entry<K, V> e : m.entrySet()) {
-      add(e.getKey(), e.getValue());
-    }
-  }
-
-  /**
-   * Removes the mapping associated with this key from this Map.
-   * @return the Collection mapped to by this key.
-   */
-  public Collection<V> remove(Object key) {
-    return map.remove(key);
-  }
-
-  /**
-   * Removes the value from the Collection mapped to by this key, leaving the rest of
-   * the collection intact.
-   * @param key the key to the Collection to remove the value from
-   * @param value the value to remove
-   */
-  public void removeMapping(K key, V value) {
-    if (treatCollectionsAsImmutable) {
-      Collection<V> c = map.get(key);
-      if (c != null) {
-        Collection<V> newC = cf.newCollection();
-        newC.addAll(c);
-        newC.remove(value);
-        map.put(key, newC);
-      }
-
-    } else {
-      Collection<V> c = get(key);
-      c.remove(value);
-    }
-  }
-
-  /**
-   * Clears this Map.
-   */
-  public void clear() {
-    map.clear();
-  }
-
-  /**
-   * @return true iff this key is in this map
-   */
-  public boolean containsKey(Object key) {
-    return map.containsKey(key);
-  }
-
-  /**
-   * Unsupported.
-   */
-  public boolean containsValue(Object value) {
-    throw new UnsupportedOperationException();
-  }
-
-  /**
-   * @return true iff this Map has no mappings in it.
-   */
-  public boolean isEmpty() {
-    return map.isEmpty();
-  }
-
-  /**
-   * Each element of the Set is a Map.Entry object, where getKey() returns the key of the mapping,
-   * and getValue() returns the Collection mapped to by the key.
-   * @return a Set view of the mappings contained in this map.
-   */
-  public Set<Entry<K, Collection<V>>> entrySet() {
-    return map.entrySet();
-  }
-
-  /**
-   * @return a Set view of the keys in this Map.
-   */
-  public Set<K> keySet() {
-    return map.keySet();
-  }
-
-  /**
-   * The number of keys in this map.
-   */
-  public int size() {
-    return map.size();
-  }
-
-  /**
-   * @return a collection of the values (really, a collection of values) in this Map
-   */
-  public Collection<Collection<V>> values() {
-    return map.values();
-  }
-
-  public Collection<V> allValues() {
-    Collection<V> c = cf.newCollection();
-    for (Collection<V> c1 : map.values()) {
-      c.addAll(c1);
-    }
-    return c;
-  }
-
-  /**
-   * @return true iff o is a CollectionValuedMap, and each key maps to the a Collection of the
-   * same objects in o as it does in this CollectionValuedMap.
-   */
-  @Override
-  public boolean equals(Object o) {
-    if (this == o) {
-      return true;
-    }
-    if (!(o instanceof CollectionValuedMap)) {
-      return false;
-    }
-
-    CollectionValuedMap<K, V> other = ErasureUtils.uncheckedCast(o);
-
-    if (other.size() != size()) {
-      return false;
-    }
-
-    try {
-      for (Map.Entry<K, Collection<V>> e: entrySet()) {
-        K key = e.getKey();
-        Collection<V> value = e.getValue();
-        if (value == null) {
-          if (!(other.get(key) == null && other.containsKey(key))) {
-            return false;
-          }
-        } else {
-          if (!value.equals(other.get(key))) {
-            return false;
-          }
-        }
-      }
-    } catch (ClassCastException unused) {
-      return false;
-    } catch (NullPointerException unused) {
-      return false;
-    }
-
-    return true;
-  }
-
-  /**
-   * @return the hashcode of the underlying Map
-   */
-  @Override
-  public int hashCode() {
-    return map.hashCode();
-  }
-
-  /**
-   * Creates a "delta clone" of this Map, where only the differences are represented.
-   */
-  public CollectionValuedMap<K, V> deltaClone() {
-    CollectionValuedMap<K, V> result = new CollectionValuedMap<K, V>(null, cf, true);
-    result.map = new DeltaMap<K, Collection<V>>(this.map);
-    return result;
-  }
-
-  /**
-   * @return a clone of this Map
-   */
-  @Override
-  public CollectionValuedMap<K, V> clone() {
-    CollectionValuedMap<K, V> result = new CollectionValuedMap<K, V>(this);
-    return result;
-  }
-
-  /**
-   * @return A String representation of this CollectionValuedMap, with special
-   * machinery to avoid recursion problems
-   */
-  @Override
-  public String toString() {
-    StringBuilder buf = new StringBuilder();
-    buf.append('{');
-
-    Iterator<Entry<K, Collection<V>>> i = entrySet().iterator();
-    while (i.hasNext()) {
-      Map.Entry<K, Collection<V>> e = i.next();
-      K key = e.getKey();
-      Collection<V> value = e.getValue();
-      buf.append(key == this ? "(this Map)" : key).append('=').append(value == this ? "(this Map)" : value);
-
-      if (i.hasNext()) {
-        buf.append(", ");
-      }
-    }
-
-    buf.append('}');
-    return buf.toString();
-  }
-
-  /**
-   * Creates a new empty CollectionValuedMap.
-   * @param mf a MapFactory which will be used to generate the underlying Map
-   * @param cf a CollectionFactory which will be used to generate the Collections in each mapping
-   * @param treatCollectionsAsImmutable if true, forces this Map to create new a Collection everytime
-   * a new value is added to or deleted from the Collection a mapping.
-   */
-  public CollectionValuedMap(MapFactory<K, Collection<V>> mf, CollectionFactory<V> cf, boolean treatCollectionsAsImmutable) {
-    this.mf = mf;
-    this.cf = cf;
-    this.treatCollectionsAsImmutable = treatCollectionsAsImmutable;
-    this.emptyValue = cf.newEmptyCollection();
-    if (mf != null) {
-      map = Collections.synchronizedMap(mf.newMap());
-    }
-  }
-
-
-  /**
-   * Creates a new CollectionValuedMap with all of the mappings from cvm. Same as {@link #clone()}.
-   */
-  public CollectionValuedMap(CollectionValuedMap<K, V> cvm) {
-    this.mf = cvm.mf;
-    this.cf = cvm.cf;
-    this.treatCollectionsAsImmutable = cvm.treatCollectionsAsImmutable;
-    this.emptyValue = cvm.emptyValue;
-    map = Collections.synchronizedMap(mf.newMap());
-    for (Map.Entry<K, Collection<V>> entry :  cvm.map.entrySet()) {
-      K key = entry.getKey();
-      Collection<V> c = entry.getValue();
-      for (V value : c) {
-        add(key, value);
-      }
-    }
-  }
-
-
-  /**
-   * Creates a new empty CollectionValuedMap which uses a HashMap as the
-   * underlying Map, and HashSets as the Collections in each mapping. Does not
-   * treat Collections as immutable.
-   */
-  public CollectionValuedMap() {
-    this(MapFactory.<K,Collection<V>>hashMapFactory(), CollectionFactory.<V>hashSetFactory(), false);
-  }
-
-
-  /**
-   * Creates a new empty CollectionValuedMap which uses a HashMap as the
-   * underlying Map.  Does not treat Collections as immutable.
-   *
-   * @param cf a CollectionFactory which will be used to generate the
-   * Collections in each mapping
-   */
-  public CollectionValuedMap(CollectionFactory<V> cf) {
-    this(MapFactory.<K,Collection<V>>hashMapFactory(), cf, false);
-  }
-
-
-  /**
-   * For testing only.
-   *
-   * @param args from command line
-   */
-  public static void main(String[] args) {
-    CollectionValuedMap<Integer, Integer> originalMap = new CollectionValuedMap<Integer, Integer>();
-    /*
-        for (int i=0; i<4; i++) {
-          for (int j=0; j<4; j++) {
-            originalMap.add(new Integer(i), new Integer(j));
-          }
-        }
-        originalMap.remove(new Integer(2));
-        System.out.println("Map: ");
-        System.out.println(originalMap);
-        System.exit(0);
-    */
-    Random r = new Random();
-    for (int i = 0; i < 800; i++) {
-      Integer rInt1 = Integer.valueOf(r.nextInt(400));
-      Integer rInt2 = Integer.valueOf(r.nextInt(400));
-      originalMap.add(rInt1, rInt2);
-      System.out.println("Adding " + rInt1 + ' ' + rInt2);
-    }
-    CollectionValuedMap<Integer, Integer> originalCopyMap = new CollectionValuedMap<Integer, Integer>(originalMap);
-    CollectionValuedMap<Integer, Integer> deltaCopyMap = new CollectionValuedMap<Integer, Integer>(originalMap);
-    CollectionValuedMap<Integer, Integer> deltaMap = new DeltaCollectionValuedMap<Integer, Integer>(originalMap);
-    // now make a lot of changes to deltaMap;
-    // add and change some stuff
-    for (int i = 0; i < 400; i++) {
-      Integer rInt1 = Integer.valueOf(r.nextInt(400));
-      Integer rInt2 = Integer.valueOf(r.nextInt(400) + 1000);
-      deltaMap.add(rInt1, rInt2);
-      deltaCopyMap.add(rInt1, rInt2);
-      System.out.println("Adding " + rInt1 + ' ' + rInt2);
-    }
-    // remove some stuff
-    for (int i = 0; i < 400; i++) {
-      Integer rInt1 = Integer.valueOf(r.nextInt(1400));
-      Integer rInt2 = Integer.valueOf(r.nextInt(1400));
-      deltaMap.removeMapping(rInt1, rInt2);
-      deltaCopyMap.removeMapping(rInt1, rInt2);
-      System.out.println("Removing " + rInt1 + ' ' + rInt2);
-    }
-    System.out.println("original: " + originalMap);
-    System.out.println("copy: " + deltaCopyMap);
-    System.out.println("delta: " + deltaMap);
-
-    System.out.println("Original preserved? " + originalCopyMap.equals(originalMap));
-    System.out.println("Delta accurate? " + deltaMap.equals(deltaCopyMap));
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ConcatenationIterator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ConcatenationIterator.java
deleted file mode 100644
index a00ae32..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ConcatenationIterator.java
+++ /dev/null
@@ -1,51 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.Collection;
-import java.util.Collections;
-import java.util.Iterator;
-
-/**
- * Iterator that represents the concatenation of two other iterators.
- * <p/>
- * User: Dan Klein (klein@cs.stanford.edu)
- * Date: Oct 22, 2003
- * Time: 7:27:39 PM
- */
-public class ConcatenationIterator<T> implements Iterator<T> {
-  Iterator<T> first = null;
-  Iterator<T> second = null;
-
-  Iterator<T> current() {
-    if (first.hasNext()) {
-      return first;
-    }
-    return second;
-  }
-
-  public boolean hasNext() {
-    return current().hasNext();
-  }
-
-  public T next() {
-    return current().next();
-  }
-
-  public void remove() {
-    current().remove();
-  }
-
-  public ConcatenationIterator(Iterator<T> first, Iterator<T> second) {
-    this.first = first;
-    this.second = second;
-  }
-
-  public static void main(String[] args) {
-    Collection<String> c1 = Collections.singleton("a");
-    Collection<String> c2 = Collections.singleton("b");
-    Iterator<String> i = new ConcatenationIterator<String>(c1.iterator(), c2.iterator());
-    while (i.hasNext()) {
-      System.out.println(i.next() + " ");
-    }
-  }
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ConcurrentHashSet.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ConcurrentHashSet.java
deleted file mode 100644
index 82e81a4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ConcurrentHashSet.java
+++ /dev/null
@@ -1,98 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.concurrent.ConcurrentHashMap;
-import java.util.Collection;
-import java.util.Iterator;
-import java.io.Serializable;
-import java.util.Set;
-
-
-/**
- * A thin wrapper on a ConcurrentHashMap, turning it into a
- * ConcurrentHashSet.  Such a thing already exists in Java 1.6, using
- * code such as
- * <br>
- * <code>
- * Collections.newSetFromMap(new ConcurrentHashMap&lt;Object,Boolean&gt;())
- * </code>
- * <br>
- * However, this isn't available in Java 1.5, so we do it ourselves.
- * <br>
- * @author John Bauer
- */
-public class ConcurrentHashSet<E> implements Set<E>, Serializable {
-  private static final long serialVersionUID = 198752987264L;  
-
-  private ConcurrentHashMap<E, Boolean> backingMap = 
-    new ConcurrentHashMap<E, Boolean>();
-
-  private static final Boolean TRUE = true;
-
-  public boolean add(E e) {
-    Boolean v = backingMap.put(e, TRUE);
-    return (v == null);
-  }
-
-  public boolean addAll(Collection<? extends E> c) {
-    boolean modified = false;
-    for (E e : c) {
-      if (add(e)) {
-        modified = true;
-      }
-    }
-    return modified;
-  }
-
-  public void clear() {
-    backingMap.clear();
-  }
-
-  public boolean contains(Object o) {
-    return backingMap.containsKey(o);
-  }
-
-  public boolean containsAll(Collection<?> c) {
-    return backingMap.keySet().containsAll(c);
-  }
-
-  public boolean equals(Object o) {
-    return backingMap.keySet().equals(o);
-  }
-
-  public int hashCode() {
-    return backingMap.hashCode();
-  }
-
-  public boolean isEmpty() {
-    return backingMap.isEmpty();
-  }
-
-  public Iterator<E> iterator() {
-    return backingMap.keySet().iterator();
-  }
-
-  public boolean remove(Object o) {
-    Boolean v = backingMap.remove(o);
-    return (v != null);
-  }
-
-  public boolean removeAll(Collection<?> c) {
-    return backingMap.keySet().removeAll(c);
-  }
-
-  public boolean retainAll(Collection<?> c) {
-    return backingMap.keySet().retainAll(c);
-  }
-
-  public int size() {
-    return backingMap.size();
-  }
-
-  public Object[] toArray() {
-    return backingMap.keySet().toArray();
-  }
-
-  public <T> T[] toArray(T[] a) {
-    return backingMap.keySet().toArray(a);
-  }
-}
\ No newline at end of file
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/CoreMap.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/CoreMap.java
deleted file mode 100644
index dff5303..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/CoreMap.java
+++ /dev/null
@@ -1,27 +0,0 @@
-package edu.stanford.nlp.util;
-
-/**
- * <p>
- * Base type for all annotatable core objects. Should usually be instantiated as
- * {@link ArrayCoreMap}. Many common key definitions live in
- * {@link edu.stanford.nlp.ling.CoreAnnotations}, but others may be defined elsewhere. See
- * {@link edu.stanford.nlp.ling.CoreAnnotations} for details.
- * </p>
- * 
- * <p>
- * Note that implementations of this interface must take care to implement
- * equality correctly: by default, two CoreMaps are .equal if they contain the
- * same keys and all corresponding values are .equal. Subclasses that wish to
- * change this behavior (such as {@link HashableCoreMap}) must make sure that
- * all other CoreMap implementations have a special case in their .equals to use
- * that equality definition when appropriate. Similarly, care must be taken when
- * defining hashcodes. The default hashcode is 37 * sum of all keys' hashcodes
- * plus the sum of all values' hashcodes. However, use of this class as HashMap
- * keys is discouraged because the hashcode can change over time. Consider using
- * a {@link HashableCoreMap}.
- * </p>
- * 
- * @author dramage
- * @author rafferty
- */
-public interface CoreMap extends TypesafeMap<CoreMap> { }
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/DeltaCollectionValuedMap.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/DeltaCollectionValuedMap.java
deleted file mode 100644
index a688770..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/DeltaCollectionValuedMap.java
+++ /dev/null
@@ -1,269 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.AbstractSet;
-import java.util.Collection;
-import java.util.Iterator;
-import java.util.Map;
-import java.util.Set;
-
-
-/**
- * Implementation of CollectionValuedMap that appears to store an "original"
- * map and changes to that map. No one currently uses it. See {@link DeltaMap}.
- * 
- * @author Teg Grenager (grenager@cs.stanford.edu)
- * Date: Jan 14, 2004
- * Time: 10:40:57 AM
- */
-public class DeltaCollectionValuedMap<K, V> extends CollectionValuedMap<K, V> {
-
-  private static final long serialVersionUID = 1L;
-  private CollectionValuedMap<K, V> originalMap;
-  private Map<K, Collection<V>> deltaMap;
-  private static Object removedValue = new Object();
-//  private CollectionFactory<V> cf; //this was just hiding a field in CollectionValuedMap
-
-  static class SimpleEntry<K, V> implements Map.Entry<K, V> {
-    K key;
-    V value;
-
-    public SimpleEntry(K key, V value) {
-      this.key = key;
-      this.value = value;
-    }
-
-    public SimpleEntry(Map.Entry<K, V> e) {
-      this.key = e.getKey();
-      this.value = e.getValue();
-    }
-
-    public K getKey() {
-      return key;
-    }
-
-    public V getValue() {
-      return value;
-    }
-
-    public V setValue(V value) {
-      V oldValue = this.value;
-      this.value = value;
-      return oldValue;
-    }
-
-    @SuppressWarnings("unchecked")
-    @Override
-    public boolean equals(Object o) {
-      if (!(o instanceof Map.Entry)) {
-        return false;
-      }
-      Map.Entry e = ErasureUtils.uncheckedCast(o);
-      return eq(key, e.getKey()) && eq(value, e.getValue());
-    }
-
-    @Override
-    public int hashCode() {
-      return ((key == null) ? 0 : key.hashCode()) ^ ((value == null) ? 0 : value.hashCode());
-    }
-
-    @Override
-    public String toString() {
-      return key + "=" + value;
-    }
-
-    private static boolean eq(Object o1, Object o2) {
-      return (o1 == null ? o2 == null : o1.equals(o2));
-    }
-  }
-
-  @Override
-  public Collection<V> get(Object key) {
-    // key could be not in original or in deltaMap
-    // key could be not in original but in deltaMap
-    // key could be in original but removed from deltaMap
-    // key could be in original but mapped to something else in deltaMap
-    Collection<V> deltaResult = deltaMap.get(key);
-    if (deltaResult == null) {
-      return originalMap.get(key);
-    }
-    if (deltaResult == removedValue) {
-      return cf.newEmptyCollection();
-    }
-    return deltaResult;
-  }
-
-  // Modification Operations
-
-  @Override
-  public Collection<V> put(K key, Collection<V> value) {
-    throw new UnsupportedOperationException();
-  }
-
-  @Override
-  public void putAll(Map<? extends K, ? extends Collection<V>> m) {
-    throw new UnsupportedOperationException();
-  }
-
-  @Override
-  public void add(K key, V value) {
-    Collection<V> deltaC = deltaMap.get(key);
-    if (deltaC == null) {
-      deltaC = cf.newCollection();
-      Collection<V> originalC = originalMap.get(key);
-      if (originalC != null) {
-        deltaC.addAll(originalC);
-      }
-      deltaMap.put(key, deltaC);
-    }
-    deltaC.add(value);
-  }
-
-  /**
-   * Adds all of the mappings in m to this CollectionValuedMap.
-   * If m is a CollectionValuedMap, it will behave strangely. Use the constructor instead.
-   *
-   */
-  @Override
-  public void addAll(Map<K, V> m) {
-    for (Map.Entry<K, V> e : m.entrySet()) {
-      add(e.getKey(), e.getValue());
-    }
-  }
-
-  @Override
-  public Collection<V> remove(Object key) {
-    Collection<V> result = get(key);
-    deltaMap.put(ErasureUtils.<K>uncheckedCast(key), ErasureUtils.<Collection<V>>uncheckedCast(removedValue));
-    return result;
-  }
-
-  @Override
-  public void removeMapping(K key, V value) {
-    Collection<V> deltaC = deltaMap.get(key);
-    if (deltaC == null) {
-      Collection<V> originalC = originalMap.get(key);
-      if (originalC != null && originalC.contains(value)) {
-        deltaC = cf.newCollection();
-        deltaC.addAll(originalC);
-        deltaMap.put(key, deltaC);
-      }
-    }
-    if (deltaC != null) {
-      deltaC.remove(value);
-    }
-  }
-
-  @Override
-  public boolean containsKey(Object key) {
-    // key could be not in original or in deltaMap
-    // key could be not in original but in deltaMap
-    // key could be in original but removed from deltaMap
-    // key could be in original but mapped to something else in deltaMap
-    Object value = deltaMap.get(key);
-    if (value == null) {
-      return originalMap.containsKey(key);
-    }
-    if (value == removedValue) {
-      return false;
-    }
-    return true;
-  }
-
-  @Override
-  public boolean containsValue(Object value) {
-    throw new UnsupportedOperationException();
-  }
-
-  // Bulk Operations
-
-  /**
-   * This is more expensive than normal.
-   */
-  @Override
-  public void clear() {
-    // iterate over all keys in originalMap and set them to null in deltaMap
-    for (K key : originalMap.keySet()) {
-      deltaMap.put(key, ErasureUtils.<Collection<V>>uncheckedCast(removedValue));
-    }
-  }
-
-  @Override
-  public boolean isEmpty() {
-    return size() == 0;
-  }
-
-  @Override
-  public int size() {
-    return entrySet().size();
-  }
-
-  @Override
-  public Collection<Collection<V>> values() {
-    throw new UnsupportedOperationException();
-  }
-
-  // Views
-
-  /**
-   * This is cheap.
-   *
-   * @return a set view of the mappings contained in this map.
-   */
-  @Override
-  public Set<Entry<K, Collection<V>>> entrySet() {
-    return new AbstractSet<Entry<K, Collection<V>>>() {
-      @Override
-      public Iterator<Map.Entry<K, Collection<V>>> iterator() {
-        Filter<Map.Entry<K, Collection<V>>> filter1 = new Filter<Map.Entry<K, Collection<V>>>() {
-          private static final long serialVersionUID = -3257173354412718639L;
-
-          // only accepts stuff not overwritten by deltaMap
-          public boolean accept(Map.Entry<K, Collection<V>> e) {
-            K key = e.getKey();
-            if (deltaMap.containsKey(key)) {
-              return false;
-            }
-            return true;
-          }
-        };
-
-        Iterator<Map.Entry<K, Collection<V>>> iter1 = new FilteredIterator<Map.Entry<K, Collection<V>>>(originalMap.entrySet().iterator(), filter1);
-
-        Filter<Map.Entry<K, Collection<V>>> filter2 = new Filter<Map.Entry<K, Collection<V>>>() {
-          private static final long serialVersionUID = 1L;
-
-          // only accepts stuff not overwritten by deltaMap
-          public boolean accept(Map.Entry<K, Collection<V>> e) {
-            if (e.getValue() == removedValue) {
-              return false;
-            }
-            return true;
-          }
-        };
-
-
-        Iterator<Map.Entry<K, Collection<V>>> iter2 = new FilteredIterator<Map.Entry<K, Collection<V>>>(deltaMap.entrySet().iterator(), filter2);
-
-        return new ConcatenationIterator<Map.Entry<K, Collection<V>>>(iter1, iter2);
-      }
-
-      @Override
-      public int size() {
-        int size = 0;
-        for (// @SuppressWarnings("unused")  // this makes javac v1.5 barf!!
-             Entry<K, Collection<V>> entry : this) {
-          ErasureUtils.noop(entry);
-          size++;
-        }
-        return size;
-      }
-    };
-  }
-
-  public DeltaCollectionValuedMap(CollectionValuedMap<K, V> originalMap) {
-    this.originalMap = originalMap;
-    this.cf = originalMap.cf;
-    this.mf = originalMap.mf;
-    this.deltaMap = mf.newMap();
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/DeltaMap.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/DeltaMap.java
deleted file mode 100644
index f36925e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/DeltaMap.java
+++ /dev/null
@@ -1,319 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.*;
-
-/**
- * A Map which wraps an original Map, and only stores the changes (deltas) from
- * the original Map. This increases Map access time (roughly doubles it) but eliminates
- * Map creation time and decreases memory usage (if you're keeping the original Map in memory
- * anyway).
- * <p/>
- * @author Teg Grenager (grenager@cs.stanford.edu)
- * @version Jan 9, 2004 9:19:06 AM
- */
-public class DeltaMap<K,V> extends AbstractMap<K,V> {
-
-  private Map<K,V> originalMap;
-  private Map<K,V> deltaMap;
-  private static Object nullValue = new Object();
-  private static Object removedValue = new Object();
-
-  static class SimpleEntry<K,V> implements Map.Entry<K,V> {
-    K key;
-    V value;
-
-    public SimpleEntry(K key, V value) {
-      this.key = key;
-      this.value = value;
-    }
-
-    public SimpleEntry(Map.Entry<K,V> e) {
-      this.key = e.getKey();
-      this.value = e.getValue();
-    }
-
-    public K getKey() {
-      return key;
-    }
-
-    public V getValue() {
-      return value;
-    }
-
-    public V setValue(V value) {
-      V oldValue = this.value;
-      this.value = value;
-      return oldValue;
-    }
-
-
-    @Override
-    public boolean equals(Object o) {
-      if (!(o instanceof Map.Entry)) {
-        return false;
-      }
-      @SuppressWarnings("unchecked")
-      Map.Entry<K,V> e = (Map.Entry<K,V>) o;
-      return eq(key, e.getKey()) && eq(value, e.getValue());
-    }
-
-    @Override
-    public int hashCode() {
-      return ((key == null) ? 0 : key.hashCode()) ^ ((value == null) ? 0 : value.hashCode());
-    }
-
-    @Override
-    public String toString() {
-      return key + "=" + value;
-    }
-
-    private static boolean eq(Object o1, Object o2) {
-      return (o1 == null ? o2 == null : o1.equals(o2));
-    }
-  }
-
-  /**
-   * This is more expensive.
-   *
-   * @param key key whose presence in this map is to be tested.
-   * @return <tt>true</tt> if this map contains a mapping for the specified
-   *         key.
-   */
-  @Override
-  public boolean containsKey(Object key) {
-    // key could be not in original or in deltaMap
-    // key could be not in original but in deltaMap
-    // key could be in original but removed from deltaMap
-    // key could be in original but mapped to something else in deltaMap
-    Object value = deltaMap.get(key);
-    if (value == null) {
-      return originalMap.containsKey(key);
-    }
-    if (value == removedValue) {
-      return false;
-    }
-    return true;
-  }
-
-  /**
-   * This may cost twice what it would in the original Map.
-   *
-   * @param key key whose associated value is to be returned.
-   * @return the value to which this map maps the specified key, or
-   *         <tt>null</tt> if the map contains no mapping for this key.
-   */
-  @Override
-  public V get(Object key) {
-    // key could be not in original or in deltaMap
-    // key could be not in original but in deltaMap
-    // key could be in original but removed from deltaMap
-    // key could be in original but mapped to something else in deltaMap
-    V deltaResult = deltaMap.get(key);
-    if (deltaResult == null) {
-      return originalMap.get(key);
-    }
-    if (deltaResult == nullValue) {
-      return null;
-    }
-    if (deltaResult == removedValue) {
-      return null;
-    }
-    return deltaResult;
-  }
-
-  // Modification Operations
-
-  /**
-   * This may cost twice what it would in the original Map because we have to find
-   * the original value for this key.
-   *
-   * @param key   key with which the specified value is to be associated.
-   * @param value value to be associated with the specified key.
-   * @return previous value associated with specified key, or <tt>null</tt>
-   *         if there was no mapping for key.  A <tt>null</tt> return can
-   *         also indicate that the map previously associated <tt>null</tt>
-   *         with the specified key, if the implementation supports
-   *         <tt>null</tt> values.
-   */
-  @Override
-  @SuppressWarnings("unchecked")
-  public V put(K key, V value) {
-    if (value == null) {
-      return put(key, (V)nullValue);
-    }
-    // key could be not in original or in deltaMap
-    // key could be not in original but in deltaMap
-    // key could be in original but removed from deltaMap
-    // key could be in original but mapped to something else in deltaMap
-    V result = deltaMap.put(key, value);
-    if (result == null) {
-      return originalMap.get(key);
-    }
-    if (result == nullValue) {
-      return null;
-    }
-    if (result == removedValue) {
-      return null;
-    }
-    return result;
-  }
-
-  /**
-   *
-   */
-  @Override
-  @SuppressWarnings("unchecked")
-  public V remove(Object key) {
-    // always put it locally
-    return put((K)key, (V)removedValue);
-  }
-
-
-  // Bulk Operations
-
-  /**
-   * This is more expensive than normal.
-   */
-
-  @Override
-  @SuppressWarnings("unchecked")
-  public void clear() {
-    // iterate over all keys in originalMap and set them to null in deltaMap
-    for (K key : originalMap.keySet()) {
-      deltaMap.put(key, (V)removedValue);
-    }
-  }
-
-
-  // Views
-
-  /**
-   * This is cheap.
-   *
-   * @return a set view of the mappings contained in this map.
-   */
-  @Override
-  public Set<Map.Entry<K,V>> entrySet() {
-    return new AbstractSet<Map.Entry<K,V>>() {
-      @Override
-      public Iterator<Map.Entry<K,V>> iterator() {
-        Filter<Map.Entry<K,V>> filter1 = new Filter<Map.Entry<K,V>>() {
-          private static final long serialVersionUID = 1L;
-
-          // only accepts stuff not overwritten by deltaMap
-          public boolean accept(Map.Entry<K,V> e) {
-            K key = e.getKey();
-            return ! deltaMap.containsKey(key);
-          }
-        };
-
-        Iterator<Map.Entry<K, V>> iter1 = new FilteredIterator<Map.Entry<K, V>>(originalMap.entrySet().iterator(), filter1);
-
-        Filter<Map.Entry<K,V>> filter2 = new Filter<Map.Entry<K,V>>() {
-          private static final long serialVersionUID = 1L;
-          // only accepts stuff not overwritten by deltaMap
-          public boolean accept(Map.Entry<K,V> e) {
-            Object value = e.getValue();
-            if (value == removedValue) {
-              return false;
-            }
-            return true;
-          }
-        };
-
-        class NullingIterator<K, V> implements Iterator<Map.Entry<K,V>> {
-          private Iterator<Map.Entry<K, V>> i;
-
-          public NullingIterator(Iterator<Map.Entry<K, V>> i) {
-            this.i = i;
-          }
-
-          public boolean hasNext() {
-            return i.hasNext();
-          }
-
-          public Map.Entry<K, V> next() {
-            Map.Entry<K,V> e = i.next();
-            Object o = e.getValue();
-            if (o == nullValue) {
-              return new SimpleEntry<K,V>(e.getKey(), null);
-            }
-            return e;
-          }
-
-          public void remove() {
-            throw new UnsupportedOperationException();
-          }
-        }
-
-        Iterator<Entry<K, V>> iter2 = new FilteredIterator<Entry<K,V>>(new NullingIterator<K, V>(deltaMap.entrySet().iterator()), filter2);
-
-        return new ConcatenationIterator<Entry<K,V>>(iter1, iter2);
-      }
-
-      @Override
-      public int size() {
-        int size = 0;
-        for (Entry<K, V> kvEntry : this) {
-          ErasureUtils.noop(kvEntry);
-          size++;
-        }
-        return size;
-      }
-    };
-  }
-
-
-  /**
-   * This is very cheap.
-   *
-   * @param originalMap will serve as the basis for this DeltaMap
-   */
-  public DeltaMap(Map<K,V> originalMap, MapFactory<K,V> mf) {
-    this.originalMap = Collections.unmodifiableMap(originalMap); // unmodifiable for debugging only
-    this.deltaMap = mf.newMap();
-  }
-
-  @SuppressWarnings("unchecked")
-  public DeltaMap(Map<K,V> originalMap) {
-    this(originalMap, MapFactory.HASH_MAP_FACTORY);
-  }
-
-  /**
-   * For testing only.
-   *
-   * @param args from command line
-   */
-  public static void main(String[] args) {
-    Map<Integer,Integer> originalMap = new HashMap<Integer,Integer>();
-    Random r = new Random();
-    for (int i = 0; i < 1000; i++) {
-      originalMap.put(Integer.valueOf(i), Integer.valueOf(r.nextInt(1000)));
-    }
-    Map<Integer,Integer> originalCopyMap = new HashMap<Integer,Integer>(originalMap);
-    Map<Integer,Integer> deltaCopyMap = new HashMap<Integer,Integer>(originalMap);
-    Map<Integer,Integer> deltaMap = new DeltaMap<Integer,Integer>(originalMap);
-    // now make a lot of changes to deltaMap;
-    // add and change some stuff
-    for (int i = 900; i < 1100; i++) {
-      Integer rInt = Integer.valueOf(r.nextInt(1000));
-      deltaMap.put(Integer.valueOf(i), rInt);
-      deltaCopyMap.put(Integer.valueOf(i), rInt);
-    }
-    // remove some stuff
-    for (int i = 0; i < 100; i++) {
-      Integer rInt = Integer.valueOf(r.nextInt(1100));
-      deltaMap.remove(rInt);
-      deltaCopyMap.remove(rInt);
-    }
-    // set some stuff to null
-    for (int i = 0; i < 100; i++) {
-      Integer rInt = Integer.valueOf(r.nextInt(1100));
-      deltaMap.put(rInt, null);
-      deltaCopyMap.put(rInt, null);
-    }
-
-    System.out.println("Original preserved? " + originalCopyMap.equals(originalMap));
-    System.out.println("Delta accurate? " + deltaMap.equals(deltaCopyMap));
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ErasureUtils.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ErasureUtils.java
deleted file mode 100644
index 479cfc3..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ErasureUtils.java
+++ /dev/null
@@ -1,64 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.lang.reflect.Array;
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.Collections;
-import java.util.List;
-
-
-/**
- * Class to gather unsafe operations into one place.
- * @author dlwh
- *
- */
-public class ErasureUtils {
-  private ErasureUtils(){}
-
-  /**
-   *  Casts an Object to a T
-   * @param <T>
-   */
-  @SuppressWarnings("unchecked")
-  public static <T> T uncheckedCast(Object o) {
-    return (T)o;
-  }
-
-  /**
-   * Does nothing, occasionally used to make Java happy that a value is used
-   */
-  public static void noop(Object o){}
-
-
-  /**
-   * Makes an array based on klass, but casts it to be of type T[]. This is a very
-   * unsafe operation and should be used carefully. Namely, you should ensure that
-   * klass is a subtype of T, or that klass is a supertype of T *and* that the array
-   * will not escape the generic constant *and* that klass is the same as the erasure
-   * of T.
-   * @param <T>
-   */
-  @SuppressWarnings("unchecked")
-  public static <T> T[] mkTArray(Class<?> klass, int size) {
-    return (T[])(Array.newInstance(klass, size));
-
-  }
-  
-  @SuppressWarnings("unchecked")
-  public static <T> T[][] mkT2DArray(Class<?> klass, int[] dim ) {
-	  if(dim.length != 2)
-		  throw new RuntimeException("dim should be an array of size 2.");
-	  return (T[][])(Array.newInstance(klass, dim));
-  }
-
-  @SuppressWarnings("unchecked")
-  public static <T> List<T> sortedIfPossible(Collection<T> collection) {
-    List<T> result = new ArrayList<T>(collection);
-    try {
-      Collections.sort((List)result);
-    } catch (ClassCastException e) {
-      // unable to sort, just return the copy
-    }
-    return result;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Factory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Factory.java
deleted file mode 100644
index 2769f8e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Factory.java
+++ /dev/null
@@ -1,19 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.Serializable;
-
-/**
- * A generified factory class which creates instances of a particular type.
- *
- * @author dramage
- */
-public interface Factory<T> extends Serializable {
-
-  /**
-   * Creates and returns a new instance of the given type.
-   *
-   * @return A new instance of the type T
-   */
-  public T create();
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/FilePathProcessor.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/FilePathProcessor.java
deleted file mode 100644
index 9971ccf..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/FilePathProcessor.java
+++ /dev/null
@@ -1,88 +0,0 @@
-package edu.stanford.nlp.util;
-
-import edu.stanford.nlp.io.ExtensionFileFilter;
-
-import java.io.File;
-import java.io.FileFilter;
-
-/**
- * The <code>FilePathProcessor</code> traverses a directory structure and
- * applies the <code>processFile</code> method to files meeting some
- * criterion.  It is implemented as static methods, not as an extension of
- * <code>File</code>.
- * <p>
- * <i>Note:</i> This is used in our old code in ling/trees, but newer code
- * should probably use io.FileSequentialCollection
- * @author Christopher Manning
- */
-public class FilePathProcessor {
-
-  private FilePathProcessor() {
-  }
-
-
-  /**
-   * Apply a method to the files under a given directory and
-   * perhaps its subdirectories.
-   *
-   * @param pathStr     file or directory to load from as a String
-   * @param suffix      suffix (normally "File extension") of files to load
-   * @param recursively true means descend into subdirectories as well
-   * @param processor   The <code>FileProcessor</code> to apply to each
-   *                    <code>File</code>
-   */
-  public static void processPath(String pathStr, String suffix, boolean recursively, FileProcessor processor) {
-    processPath(new File(pathStr), new ExtensionFileFilter(suffix, recursively), processor);
-  }
-
-
-  /**
-   * Apply a method to the files under a given directory and
-   * perhaps its subdirectories.
-   *
-   * @param path        file or directory to load from
-   * @param suffix      suffix (normally "File extension") of files to load
-   * @param recursively true means descend into subdirectories as well
-   * @param processor   The <code>FileProcessor</code> to apply to each
-   *                    <code>File</code>
-   */
-  public static void processPath(File path, String suffix, boolean recursively, FileProcessor processor) {
-    processPath(path, new ExtensionFileFilter(suffix, recursively), processor);
-  }
-
-
-  /**
-   * Apply a function to the files under a given directory and
-   * perhaps its subdirectories.  If the path is a directory then only
-   * files within the directory (perhaps recursively) that satisfy the
-   * filter are processed.  If the <code>path</code>is a file, then
-   * that file is processed regardless of whether it satisfies the
-   * filter.  (This semantics was adopted, since otherwise there was no
-   * easy way to go through all the files in a directory without
-   * descending recursively via the specification of a
-   * <code>FileFilter</code>.)
-   *
-   * @param path      file or directory to load from
-   * @param filter    a FileFilter of files to load.  The filter may be null,
-   *     and then all files are processed.
-   * @param processor The <code>FileProcessor</code> to apply to each
-   *                  <code>File</code>
-   */
-  public static void processPath(File path, FileFilter filter, FileProcessor processor) {
-    if (path.isDirectory()) {
-      // if path is a directory, look into it
-      File[] directoryListing = path.listFiles(filter);
-      if (directoryListing == null) {
-        throw new IllegalArgumentException("Directory access problem for: " + path);
-      }
-      for (File file : directoryListing) {
-        processPath(file, filter, processor);
-      }
-    } else {
-      // it's already passed the filter or was uniquely specified
-      // if (filter.accept(path))
-      processor.processFile(path);
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/FileProcessor.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/FileProcessor.java
deleted file mode 100644
index 58c9dc1..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/FileProcessor.java
+++ /dev/null
@@ -1,23 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.File;
-
-/**
- * Interface for a Visitor pattern for Files.
- * This interface is used by some existing code, but new code should
- * probably use FileArrayList or FileSequentialCollection, which fit
- * better with the Collections orientation of recent Java releases.
- *
- * @author Christopher Manning
- */
-public interface FileProcessor {
-
-  /**
-   * Apply this predicate to a <code>File</code>.  This method can
-   * assume the <code>file</code> is a file and not a directory.
-   *
-   * @see FilePathProcessor for traversing directories
-   */
-  public void processFile(File file);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Filter.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Filter.java
deleted file mode 100644
index 4027155..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Filter.java
+++ /dev/null
@@ -1,23 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.Serializable;
-
-
-/**
- * Filter is an interface for predicate objects which respond to the
- * <code>accept</code> method.
- *
- * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a>
- * @version 1.0
- */
-public interface Filter <T> extends Serializable {
-
-  /**
-   * Checks if the given object passes the filter.
-   *
-   * @param obj an object to test
-   * @return Whether the object should be accepted (for some processing)
-   */
-  public boolean accept(T obj);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/FilteredIterator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/FilteredIterator.java
deleted file mode 100644
index c2399b6..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/FilteredIterator.java
+++ /dev/null
@@ -1,81 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.Arrays;
-import java.util.Collection;
-import java.util.Iterator;
-
-/**
- * Iterator that suppresses items in another iterator based on a filter function.
- *
- * @author Dan Klein (klein@cs.stanford.edu)
- */
-public class FilteredIterator<T> implements Iterator<T> {
-  Iterator<T> iterator = null;
-  Filter<T> filter = null;
-  T current = null;
-  boolean hasCurrent = false;
-
-  T currentCandidate() {
-    return current;
-  }
-
-  void advanceCandidate() {
-    if (!iterator.hasNext()) {
-      hasCurrent = false;
-      current = null;
-      return;
-    }
-    hasCurrent = true;
-    current = iterator.next();
-  }
-
-  boolean hasCurrentCandidate() {
-    return hasCurrent;
-  }
-
-  boolean currentCandidateIsAcceptable() {
-    return filter.accept(currentCandidate());
-  }
-
-  void skipUnacceptableCandidates() {
-    while (hasCurrentCandidate() && !currentCandidateIsAcceptable()) {
-      advanceCandidate();
-    }
-  }
-
-  public boolean hasNext() {
-    return hasCurrentCandidate();
-  }
-
-  public T next() {
-    T result = currentCandidate();
-    advanceCandidate();
-    skipUnacceptableCandidates();
-    return result;
-  }
-
-  public void remove() {
-    throw new UnsupportedOperationException();
-  }
-
-  public FilteredIterator(Iterator<T> iterator, Filter<T> filter) {
-    this.iterator = iterator;
-    this.filter = filter;
-    advanceCandidate();
-    skipUnacceptableCandidates();
-  }
-
-  public static void main(String[] args) {
-    Collection<String> c = Arrays.asList(new String[]{"a", "aa", "b", "bb", "cc"});
-    Iterator<String> i = new FilteredIterator<String>(c.iterator(), new Filter<String>() {
-      private static final long serialVersionUID = 1L;
-
-      public boolean accept(String o) {
-        return o.length() == 1;
-      }
-    });
-    while (i.hasNext()) {
-      System.out.println("Accepted: " + i.next());
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Filters.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Filters.java
deleted file mode 100644
index 9e718e6..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Filters.java
+++ /dev/null
@@ -1,214 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.Serializable;
-import java.lang.reflect.Array;
-import java.util.*;
-
-/**
- * Some simple implementations of the Filter interface.
- *
- * @author Christopher Manning
- * @version 1.0
- */
-public class Filters {
-
-  /**
-   * Nothing to instantiate
-   */
-  private Filters() {
-  }
-
-  /**
-   * The acceptFilter accepts everything.
-   */
-  public static <T> Filter<T> acceptFilter() {
-    return new CategoricalFilter<T>(true);
-  }
-
-  /**
-   * The rejectFilter accepts nothing.
-   */
-  public static <T> Filter<T> rejectFilter() {
-    return new CategoricalFilter<T>(false);
-  }
-
-  private static final class CategoricalFilter<T> implements Filter<T> {
-
-    private final boolean judgment;
-
-    protected CategoricalFilter(boolean judgment) {
-      this.judgment = judgment;
-    }
-
-    /**
-     * Checks if the given object passes the filter.
-     *
-     * @param obj an object to test
-     */
-    public boolean accept(T obj) {
-      return judgment;
-    }
-    
-    // Automatically generated by Eclipse
-    private static final long serialVersionUID = 7501774666726883656L;
-  }
-
-
-  /**
-   * The collectionAcceptFilter accepts a certain collection.
-   */
-  public static <E> Filter<E> collectionAcceptFilter(E[] objs) {
-    return new CollectionAcceptFilter<E>(Arrays.asList(objs), true);
-  }
-
-  /**
-   * The collectionAcceptFilter accepts a certain collection.
-   */
-  public static <E> Filter<E> collectionAcceptFilter(Collection<E> objs) {
-    return new CollectionAcceptFilter<E>(objs, true);
-  }
-
-  /**
-   * The collectionRejectFilter rejects a certain collection.
-   */
-  public static <E> Filter<E> collectionRejectFilter(E[] objs) {
-    return new CollectionAcceptFilter<E>(Arrays.asList(objs), false);
-  }
-
-  /**
-   * The collectionRejectFilter rejects a certain collection.
-   */
-  public static <E> Filter<E> collectionRejectFilter(Collection<E> objs) {
-    return new CollectionAcceptFilter<E>(objs, false);
-  }
-
-  private static final class CollectionAcceptFilter<E> implements Filter<E>, Serializable {
-
-    private final Collection<E> args;
-    private final boolean judgment;
-
-    protected CollectionAcceptFilter(Collection<E> c, boolean judgment) {
-      this.args = new HashSet<E>(c);
-      this.judgment = judgment;
-    }
-
-    /**
-     * Checks if the given object passes the filter.
-     *
-     * @param obj an object to test
-     */
-    public boolean accept(E obj) {
-      if (args.contains(obj)) {
-        return judgment;
-      }
-      return !judgment;
-    }
-
-    private static final long serialVersionUID = -8870550963937943540L;
-
-  } // end class CollectionAcceptFilter
-
-  /**
-   * Filter that accepts only when both filters accept (AND).
-   */
-  public static <E> Filter<E> andFilter(Filter<E> f1, Filter<E> f2) {
-    return (new CombinedFilter<E>(f1, f2, true));
-  }
-
-  /**
-   * Filter that accepts when either filter accepts (OR).
-   */
-  public static <E> Filter<E> orFilter(Filter<E> f1, Filter<E> f2) {
-    return (new CombinedFilter<E>(f1, f2, false));
-  }
-
-  /**
-   * Conjunction or disjunction of two filters.
-   */
-  private static class CombinedFilter<E> implements Filter<E> {
-    private Filter<E> f1, f2;
-    private boolean conjunction; // and vs. or
-
-    public CombinedFilter(Filter<E> f1, Filter<E> f2, boolean conjunction) {
-      this.f1 = f1;
-      this.f2 = f2;
-      this.conjunction = conjunction;
-    }
-
-    public boolean accept(E o) {
-      if (conjunction) {
-        return (f1.accept(o) && f2.accept(o));
-      }
-      return (f1.accept(o) || f2.accept(o));
-    }
-    
-    // Automatically generated by Eclipse
-    private static final long serialVersionUID = -2988241258905198687L;
-  }
-
-  /**
-   * Filter that does the opposite of given filter (NOT).
-   */
-  public static <E> Filter<E> notFilter(Filter<E> filter) {
-    return (new NegatedFilter<E>(filter));
-  }
-
-  /**
-   * Filter that's either negated or normal as specified.
-   */
-  public static <E> Filter<E> switchedFilter(Filter<E> filter, boolean negated) {
-    return (new NegatedFilter<E>(filter, negated));
-  }
-
-  /**
-   * Negation of a filter.
-   */
-  private static class NegatedFilter<E> implements Filter<E> {
-    private Filter<E> filter;
-    private boolean negated;
-
-    public NegatedFilter(Filter<E> filter, boolean negated) {
-      this.filter = filter;
-      this.negated = negated;
-    }
-
-    public NegatedFilter(Filter<E> filter) {
-      this(filter, true);
-    }
-
-    public boolean accept(E o) {
-      return (negated ^ filter.accept(o)); // xor
-    }
-  
-    // Automatically generated by Eclipse
-    private static final long serialVersionUID = -1599556783677718177L;
-  }
-
-  /**
-   * Applies the given filter to each of the given elems, and returns the
-   * list of elems that were accepted. The runtime type of the returned
-   * array is the same as the passed in array.
-   */
-  @SuppressWarnings("unchecked")
-  public static <E> E[] filter(E[] elems, Filter<E> filter) {
-    List<E> filtered = new ArrayList<E>();
-    for (E elem: elems) {
-      if (filter.accept(elem)) {
-        filtered.add(elem);
-      }
-    }
-    return (filtered.toArray((E[]) Array.newInstance(elems.getClass().getComponentType(), filtered.size())));
-  }
-
-  /**
-   * Removes all elems in the given Collection that aren't accepted by the given Filter.
-   */
-  public static <E> void retainAll(Collection<E> elems, Filter<? super E> filter) {
-    for (Iterator<E> iter = elems.iterator(); iter.hasNext();) {
-      E elem = iter.next();
-      if ( ! filter.accept(elem)) {
-        iter.remove();
-      }
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/FixedPrioritiesPriorityQueue.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/FixedPrioritiesPriorityQueue.java
deleted file mode 100644
index a95652c..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/FixedPrioritiesPriorityQueue.java
+++ /dev/null
@@ -1,310 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.*;
-import java.io.Serializable;
-
-/**
- * A priority queue based on a binary heap.  This implementation trades
- * flexibility for speed: while it is up to 2x faster than {@link
- * BinaryHeapPriorityQueue} and nearly as fast as {@link
- * java.util.PriorityQueue}, it does not support removing or changing the
- * priority of an element.  Also, while {@link #getPriority(Object key)
- * getPriority(Object key)} is supported, performance will be linear, not
- * constant.
- *
- * @author Dan Klein, Bill MacCartney
- */
-public class FixedPrioritiesPriorityQueue<E>
-  extends AbstractSet<E>
-  implements PriorityQueue<E>, Iterator<E>, Serializable, Cloneable {
-
-  private static final long serialVersionUID = 1L;
-  private int size;
-  private int capacity;
-  private List<E> elements;
-  private double[] priorities;
-
-
-  // constructors ----------------------------------------------------------
-
-  public FixedPrioritiesPriorityQueue() {
-    this(15);
-  }
-
-  public FixedPrioritiesPriorityQueue(int capacity) {
-    int legalCapacity = 0;
-    while (legalCapacity < capacity) {
-      legalCapacity = 2 * legalCapacity + 1;
-    }
-    grow(legalCapacity);
-  }
-
-
-  // iterator methods ------------------------------------------------------
-
-  /**
-   * Returns true if the priority queue is non-empty
-   */
-  public boolean hasNext() {
-    return !isEmpty();
-  }
-
-  /**
-   * Returns the element in the queue with highest priority, and pops it from
-   * the queue.
-   */
-  public E next() {
-    return removeFirst();
-  }
-
-  /**
-   * Not supported -- next() already removes the head of the queue.
-   */
-  public void remove() {
-    throw new UnsupportedOperationException();
-  }
-
-
-  // PriorityQueue methods -------------------------------------------------
-
-  /**
-   * Adds a key to the queue with the given priority.  If the key is already in
-   * the queue, it will be added an additional time, NOT promoted/demoted.
-   *
-   */
-  public boolean add(E key, double priority) {
-    if (size == capacity) {
-      grow(2 * capacity + 1);
-    }
-    elements.add(key);
-    priorities[size] = priority;
-    heapifyUp(size);
-    size++;
-    return true;
-  }
-
-  /**
-   * Not supported in this implementation.
-   */
-  public boolean changePriority(E key, double priority) {
-    throw new UnsupportedOperationException();
-  }
-
-  /**
-   * Returns the highest-priority element without removing it from the
-   * queue.
-   */
-  public E getFirst() {
-    if (size() > 0)
-      return elements.get(0);
-    throw new NoSuchElementException();
-  }
-
-  /**
-   * Note that this method will be linear (not constant) time in this
-   * implementation!  Better not to use it.
-   */
-  public double getPriority(Object key) {
-    for (int i = 0; i < elements.size(); i++) {
-      if (elements.get(i).equals(key)) {
-        return priorities[i];
-      }
-    }
-    throw new NoSuchElementException();
-  }
-
-  /**
-   * Gets the priority of the highest-priority element of the queue.
-   */
-  public double getPriority() {
-    if (size() > 0)
-      return priorities[0];
-    throw new NoSuchElementException();
-  }
-
-  /**
-   * Not supported in this implementation.
-   */
-  public boolean relaxPriority(E key, double priority) {
-    throw new UnsupportedOperationException();
-  }
-
-  /**
-   * Returns the highest-priority element and removes it from the queue.
-   */
-  public E removeFirst() {
-    E first = getFirst();
-    swap(0, size - 1);
-    size--;
-    elements.remove(size);
-    heapifyDown(0);
-    return first;
-  }
-
-  public List<E> toSortedList() {
-    List<E> list = new ArrayList<E>();
-    while (hasNext()) {
-      list.add(next());
-    }
-    return list;
-  }
-
-
-  // Set methods -----------------------------------------------------------
-
-  /**
-   * Number of elements in the queue.
-   */
-  @Override
-  public int size() {
-    return size;
-  }
-
-  @Override
-  public void clear() {
-    size = 0;
-    grow(15);
-  }
-
-  @Override
-  public Iterator<E> iterator() {
-    return Collections.unmodifiableCollection(toSortedList()).iterator();
-  }
-
-
-  // -----------------------------------------------------------------------
-
-  private void grow(int newCapacity) {
-    List<E> newElements = new ArrayList<E>(newCapacity);
-    double[] newPriorities = new double[newCapacity];
-    if (size > 0) {
-      newElements.addAll(elements);
-      System.arraycopy(priorities, 0, newPriorities, 0, priorities.length);
-    }
-    elements = newElements;
-    priorities = newPriorities;
-    capacity = newCapacity;
-  }
-
-  private static int parent(int loc) {
-    return (loc - 1) / 2;
-  }
-
-  private static int leftChild(int loc) {
-    return 2 * loc + 1;
-  }
-
-  private static int rightChild(int loc) {
-    return 2 * loc + 2;
-  }
-
-  private void heapifyUp(int loc) {
-    if (loc == 0) return;
-    int parent = parent(loc);
-    if (priorities[loc] > priorities[parent]) {
-      swap(loc, parent);
-      heapifyUp(parent);
-    }
-  }
-
-  private void heapifyDown(int loc) {
-    int max = loc;
-    int leftChild = leftChild(loc);
-    if (leftChild < size()) {
-      double priority = priorities[loc];
-      double leftChildPriority = priorities[leftChild];
-      if (leftChildPriority > priority)
-        max = leftChild;
-      int rightChild = rightChild(loc);
-      if (rightChild < size()) {
-        double rightChildPriority = priorities[rightChild(loc)];
-        if (rightChildPriority > priority && rightChildPriority > leftChildPriority)
-          max = rightChild;
-      }
-    }
-    if (max == loc)
-      return;
-    swap(loc, max);
-    heapifyDown(max);
-  }
-
-  private void swap(int loc1, int loc2) {
-    double tempPriority = priorities[loc1];
-    E tempElement = elements.get(loc1);
-    priorities[loc1] = priorities[loc2];
-    elements.set(loc1, elements.get(loc2));
-    priorities[loc2] = tempPriority;
-    elements.set(loc2, tempElement);
-  }
-
-
-  // -----------------------------------------------------------------------
-
-  /**
-   * Returns a representation of the queue in decreasing priority order.
-   */
-  @Override
-  public String toString() {
-    return toString(size());
-  }
-
-  /** {@inheritDoc} */
-  public String toString(int maxKeysToPrint) {
-    if (maxKeysToPrint <= 0) maxKeysToPrint = Integer.MAX_VALUE;
-    FixedPrioritiesPriorityQueue<E> pq = clone();
-    StringBuilder sb = new StringBuilder("[");
-    int numKeysPrinted = 0;
-    while (numKeysPrinted < maxKeysToPrint && pq.hasNext()) {
-      double priority = pq.getPriority();
-      E element = pq.next();
-      sb.append(element.toString());
-      sb.append(" : ");
-      sb.append(priority);
-      if (numKeysPrinted < size() - 1)
-        sb.append(", ");
-      numKeysPrinted++;
-    }
-    if (numKeysPrinted < size())
-      sb.append("...");
-    sb.append("]");
-    return sb.toString();
-  }
-
-  /**
-   * Returns a clone of this priority queue.  Modifications to one will not
-   * affect modifications to the other.
-   */
-  @Override
-  public FixedPrioritiesPriorityQueue<E> clone() {
-    FixedPrioritiesPriorityQueue<E> clonePQ = new FixedPrioritiesPriorityQueue<E>();
-    clonePQ.size = size;
-    clonePQ.capacity = capacity;
-    clonePQ.elements = new ArrayList<E>(capacity);
-    clonePQ.priorities = new double[capacity];
-    if (size() > 0) {
-      clonePQ.elements.addAll(elements);
-      System.arraycopy(priorities, 0, clonePQ.priorities, 0, size());
-    }
-    return clonePQ;
-  }
-
-
-  // -----------------------------------------------------------------------
-
-  public static void main(String[] args) {
-    FixedPrioritiesPriorityQueue<String> pq = new FixedPrioritiesPriorityQueue<String>();
-    System.out.println(pq);
-    pq.add("one",1);
-    System.out.println(pq);
-    pq.add("three",3);
-    System.out.println(pq);
-    pq.add("one",1.1);
-    System.out.println(pq);
-    pq.add("two",2);
-    System.out.println(pq);
-    System.out.println(pq.toString(2));
-    while (pq.hasNext()) {
-      System.out.println(pq.next());
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Function.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Function.java
deleted file mode 100644
index f037b6d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Function.java
+++ /dev/null
@@ -1,29 +0,0 @@
-package edu.stanford.nlp.util;
-
-
-/**
- * An interface for classes that act as a function transforming one object
- * to another.
- * <p>
- * <i>Implementation note:</i> A function by itself is not serializable.
- * We do however also provide an interface
- * {@link edu.stanford.nlp.process.SerializableFunction} for
- * the common case of a function that should be Serializable.
- *
- * @author Dan Klein
- * @param <T1> The domain of the function
- * @param <T2> The range of the function
- */
-public interface Function <T1,T2> {
-
-  /**
-   * Converts a T1 to a different T2.  For example, a Parser
-   * will convert a Sentence to a Tree.  A Tagger will convert a Sentence
-   * to a TaggedSentence.
-   *
-   * @param in The function's argument
-   * @return The function's evaluated value
-   */
-  public T2 apply(T1 in);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Generics.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Generics.java
deleted file mode 100644
index 5cafbf7..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Generics.java
+++ /dev/null
@@ -1,166 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.lang.ref.WeakReference;
-import java.util.ArrayList;
-import java.util.Collection;
-import java.util.Comparator;
-import java.util.HashMap;
-import java.util.HashSet;
-import java.util.LinkedList;
-import java.util.Map;
-import java.util.SortedSet;
-import java.util.Stack;
-import java.util.TreeMap;
-import java.util.TreeSet;
-import java.util.WeakHashMap;
-import java.util.concurrent.ConcurrentHashMap;
-
-import edu.stanford.nlp.util.concurrent.SynchronizedInterner;
-
-/**
- * A collection of utilities to make dealing with Java generics less
- * painful and verbose.  For example, rather than declaring
- *
- * <pre>
- * {@code Map<String, List<Pair<IndexedWord, GrammaticalRelation>>> = new HashMap<String, List<Pair<IndexedWord, GrammaticalRelation>>>()}
- * </pre>
- *
- * you just call <code>Generics.newHashMap()</code>:
- *
- * <pre>
- * {@code Map<String, List<Pair<IndexedWord, GrammaticalRelation>>> = Generics.newHashMap()}
- * </pre>
- *
- * Java type-inference will almost always just <em>do the right thing</em>
- * (every once in a while, the compiler will get confused before you do,
- * so you might still occasionally have to specify the appropriate types).
- *
- * This class is based on the examples in Brian Goetz's article
- * <a href="http://www.ibm.com/developerworks/library/j-jtp02216.html">Java
- * theory and practice: The pseudo-typedef antipattern</a>.
- *
- * @author Ilya Sherman
- */
-public class Generics {
-
-  private Generics() {} // static class
-
-  /* Collections */
-  public static <E> ArrayList<E> newArrayList() {
-    return new ArrayList<E>();
-  }
-
-  public static <E> ArrayList<E> newArrayList(int size) {
-    return new ArrayList<E>(size);
-  }
-
-  public static <E> ArrayList<E> newArrayList(Collection<? extends E> c) {
-    return new ArrayList<E>(c);
-  }
-
-  public static <E> LinkedList<E> newLinkedList() {
-    return new LinkedList<E>();
-  }
-
-  public static <E> LinkedList<E> newLinkedList(Collection<? extends E> c) {
-    return new LinkedList<E>(c);
-  }
-
-  public static <E> HashSet<E> newHashSet() {
-    return new HashSet<E>();
-  }
-
-  public static <E> HashSet<E> newHashSet(int initialCapacity) {
-    return new HashSet<E>(initialCapacity);
-  }
-
-  public static <E> HashSet<E> newHashSet(Collection<? extends E> c) {
-    return new HashSet<E>(c);
-  }
-
-  public static <E> TreeSet<E> newTreeSet() {
-    return new TreeSet<E>();
-  }
-
-  public static <E> TreeSet<E> newTreeSet(Comparator<? super E> comparator) {
-    return new TreeSet<E>(comparator);
-  }
-
-  public static <E> TreeSet<E> newTreeSet(SortedSet<E> s) {
-    return new TreeSet<E>(s);
-  }
-
-  public static <E> Stack<E> newStack() {
-    return new Stack<E>();
-  }
-
-  public static <E> BinaryHeapPriorityQueue<E> newBinaryHeapPriorityQueue() {
-    return new BinaryHeapPriorityQueue<E>();
-  }
-
-
-  /* Maps */
-  public static <K,V> HashMap<K,V> newHashMap() {
-    return new HashMap<K,V>();
-  }
-
-  public static <K,V> HashMap<K,V> newHashMap(int initialCapacity) {
-    return new HashMap<K,V>(initialCapacity);
-  }
-
-  public static <K,V> HashMap<K,V> newHashMap(Map<? extends K,? extends V> m) {
-    return new HashMap<K,V>(m);
-  }
-
-  public static <K,V> WeakHashMap<K,V> newWeakHashMap() {
-    return new WeakHashMap<K,V>();
-  }
-
-  public static <K,V> ConcurrentHashMap<K,V> newConcurrentHashMap() {
-    return new ConcurrentHashMap<K,V>();
-  }
-
-  public static <K,V> ConcurrentHashMap<K,V> newConcurrentHashMap(int initialCapacity) {
-    return new ConcurrentHashMap<K,V>(initialCapacity);
-  }
-
-  public static <K,V> ConcurrentHashMap<K,V> newConcurrentHashMap(int initialCapacity,
-      float loadFactor, int concurrencyLevel) {
-    return new ConcurrentHashMap<K,V>(initialCapacity, loadFactor, concurrencyLevel);
-  }
-
-  public static <K,V> TreeMap<K,V> newTreeMap() {
-    return new TreeMap<K,V>();
-  }
-
-  public static <E> Index<E> newIndex() {
-    return new HashIndex<E>();
-  }
-
-
-  /* Other */
-  public static <T1,T2> Pair<T1,T2> newPair(T1 first, T2 second) {
-    return new Pair<T1,T2>(first, second);
-  }
-
-  public static <T1,T2, T3> Triple<T1,T2, T3> newTriple(T1 first, T2 second, T3 third) {
-    return new Triple<T1,T2, T3>(first, second, third);
-  }
-
-  public static <T> Interner<T> newInterner() {
-    return new Interner<T>();
-  }
-
-  public static <T> SynchronizedInterner<T> newSynchronizedInterner(Interner<T> interner) {
-    return new SynchronizedInterner<T>(interner);
-  }
-
-  public static <T> SynchronizedInterner<T> newSynchronizedInterner(Interner<T> interner,
-                                                                    Object mutex) {
-    return new SynchronizedInterner<T>(interner, mutex);
-  }
-
-  public static <T> WeakReference<T> newWeakReference(T referent) {
-    return new WeakReference<T>(referent);
-  }
-}
\ No newline at end of file
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/HasInterval.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/HasInterval.java
deleted file mode 100644
index c898b0a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/HasInterval.java
+++ /dev/null
@@ -1,20 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.Comparator;
-
-/**
- * HasInterval interface
- *
- * @author Angel Chang
- */
-public interface HasInterval<E extends Comparable<E>> {
-  public Interval<E> getInterval();
-  
-  public final static Comparator<HasInterval> OFFSET_COMPARATOR =
-    new Comparator<HasInterval>() {
-      public int compare(HasInterval e1, HasInterval e2) {
-        return (e1.getInterval().compareTo(e2.getInterval()));
-      }
-    };
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/HashIndex.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/HashIndex.java
deleted file mode 100644
index f709dc4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/HashIndex.java
+++ /dev/null
@@ -1,434 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.*;
-import java.util.*;
-import java.util.concurrent.Semaphore;
-
-/**
- * An Index is a collection that maps between an Object vocabulary and a
- * contiguous non-negative integer index series beginning (inclusively) at 0.
- * It supports constant-time lookup in
- * both directions (via <code>get(int)</code> and <code>indexOf(E)</code>.
- * The <code>indexOf(E)</code> method compares objects by
- * <code>equals</code>, as other Collections.
- * <p/>
- * The typical usage would be:
- * <p><code>Index index = new Index(collection);</code>
- * <p> followed by
- * <p><code>int i = index.indexOf(object);</code>
- * <p> or
- * <p><code>Object o = index.get(i);</code>
- * <p>The source contains a concrete example of use as the main method.
- * <p>An Index can be locked or unlocked: a locked index cannot have new
- * items added to it.
- *
- * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a>
- * @version 1.0
- * @see AbstractCollection
- * @since 1.0
- * @author <a href="mailto:yeh1@stanford.edu">Eric Yeh</a> (added write to/load from buffer)
- */
-public class HashIndex<E> extends AbstractCollection<E> implements Index<E>, RandomAccess {
-
-  // these variables are also used in IntArrayIndex
-  ArrayList<E> objects = new ArrayList<E>();
-  HashMap<E,Integer> indexes = new HashMap<E,Integer>();
-  boolean locked; // = false;
-
-  /**
-   * Clears this Index.
-   */
-  @Override
-  public void clear() {
-    objects.clear();
-    indexes.clear();
-  }
-
-  /**
-   * Returns the index of each elem in a List.
-   * @param elems The list of items
-   * @return An array of indices
-   */
-  public int[] indices(Collection<E> elems) {
-    int[] indices = new int[elems.size()];
-    int i = 0;
-    for (E elem : elems) {
-      indices[i++] = indexOf(elem);
-    }
-    return indices;
-  }
-
-  /**
-   * Looks up the objects corresponding to an array of indices, and returns them in a {@link Collection}.
-   * This collection is not a copy, but accesses the data structures of the Index.
-   *
-   * @param indices An array of indices
-   * @return a {@link Collection} of the objects corresponding to the indices argument.
-   */
-  public Collection<E> objects(final int[] indices) {
-    return new AbstractList<E>() {
-      @Override
-      public E get(int index) {
-        return objects.get(indices[index]);
-      }
-
-      @Override
-      public int size() {
-        return indices.length;
-      }
-    };
-  }
-
-  /**
-   * Returns the number of indexed objects.
-   *
-   * @return the number of indexed objects.
-   */
-  @Override
-  public int size() {
-    return objects.size();
-  }
-
-  /**
-   * Gets the object whose index is the integer argument.
-   *
-   * @param i the integer index to be queried for the corresponding argument
-   * @return the object whose index is the integer argument.
-   */
-  public E get(int i) {
-    return objects.get(i);
-  }
-
-  /**
-   * Returns a complete {@link List} of indexed objects, in the order of their indices.  <b>DANGER!</b>
-   * The current implementation returns the actual index list, not a defensive copy.  Messing with this List
-   * can seriously screw up the state of the Index.  (perhaps this method needs to be eliminated? I don't think it's
-   * ever used in ways that we couldn't use the Index itself for directly.  --Roger, 12/29/04)
-   *
-   * @return a complete {@link List} of indexed objects
-   */
-  public List<E> objectsList() {
-    return objects;
-  }
-
-  /**
-   * Queries the Index for whether it's locked or not.
-   * @return whether or not the Index is locked
-   */
-  public boolean isLocked() {
-    return locked;
-  }
-
-  /** Locks the Index.  A locked index cannot have new elements added to it (calls to {@link #add} will
-   * leave the Index unchanged and return <code>false</code>).*/
-  public void lock() {
-    locked = true;
-  }
-
-  /** Unlocks the Index.  A locked index cannot have new elements added to it (calls to {@link #add} will
-   * leave the Index unchanged and return <code>false</code>).*/
-  public void unlock() {
-    locked = false;
-  }
-
-  /**
-   * Returns the integer index of the Object in the Index or -1 if the Object is not already in the Index.
-   * @param o the Object whose index is desired.
-   * @return the index of the Object argument.  Returns -1 if the object is not in the index.
-   */
-  public int indexOf(E o) {
-    return indexOf(o, false);
-  }
-
-  /**
-   * Takes an Object and returns the integer index of the Object,
-   * perhaps adding it to the index first.
-   * Returns -1 if the Object is not in the Index.
-   * <p>
-   * <i>Notes:</i> The method indexOf(x, true) is the direct replacement for
-   * the number(x) method in the old Numberer class.  This method now uses a
-   * Semaphore object to make the index safe for concurrent multithreaded
-   *  usage. (CDM: Is this better than using a synchronized block?)
-   *
-   * @param o the Object whose index is desired.
-   * @param add Whether it is okay to add new items to the index
-   * @return The index of the Object argument.  Returns -1 if the object is not in the index.
-   */
-  public int indexOf(E o, boolean add) {
-    Integer index = indexes.get(o);
-    if (index == null) {
-      if (add && ! locked) {
-        try {
-          semaphore.acquire();
-          index = indexes.get(o);
-          if (index == null) {
-            index = objects.size();
-            objects.add(o);
-            indexes.put(o, index);
-          }
-          semaphore.release();
-        } catch (InterruptedException e) {
-          throw new RuntimeException(e);
-        }
-      } else {
-        return -1;
-      }
-    }
-    return index;
-  }
-
-  private final Semaphore semaphore = new Semaphore(1);
-
-  // TODO: delete this because we can leach off of Abstract Collection
- /**
-   * Adds every member of Collection to the Index. Does nothing for members already in the Index.
-   *
-   * @return true if some item was added to the index and false if no
-   *         item was already in the index or if the index is locked
-   */
- @Override
-  public boolean addAll(Collection<? extends E> c) {
-    boolean changed = false;
-    for (E element: c) {
-      changed |= add(element);
-      //changed &= add(element);
-    }
-    return changed;
-  }
-
-  /**
-   * Adds an object to the Index. If it was already in the Index,
-   * then nothing is done.  If it is not in the Index, then it is
-   * added iff the Index hasn't been locked.
-   *
-   * @return true if the item was added to the index and false if the
-   *         item was already in the index or if the index is locked
-   */
-  @Override
-  public boolean add(E o) {
-    Integer index = indexes.get(o);
-    if (index == null && ! locked) {
-      index = objects.size();
-      objects.add(o);
-      indexes.put(o, index);
-      return true;
-    }
-    return false;
-  }
-
-  /**
-   * Checks whether an Object already has an index in the Index
-   * @param o the object to be queried.
-   * @return true iff there is an index for the queried object.
-   */
-  @SuppressWarnings({"SuspiciousMethodCalls"})
-  @Override
-  public boolean contains(Object o) {
-    return indexes.containsKey(o);
-  }
-
-  /**
-   * Creates a new Index.
-   */
-  public HashIndex() {
-    super();
-  }
-
-  /**
-   * Creates a new Index.
-   * @param capacity Initial capacity of Index.
-   */
-  public HashIndex(int capacity) {
-    super();
-    objects = new ArrayList<E>(capacity);
-    indexes = new HashMap<E,Integer>(capacity);
-  }
-
-  /**
-   * Creates a new Index and adds every member of c to it.
-   * @param c A collection of objects
-   */
-  public HashIndex(Collection<? extends E> c) {
-    this();
-    addAll(c);
-  }
-
-  public void saveToFilename(String file) {
-    BufferedWriter bw = null;
-    try {
-      bw = new BufferedWriter(new FileWriter(file));
-      for (int i = 0, sz = size(); i < sz; i++) {
-        bw.write(i + "=" + get(i) + '\n');
-      }
-      bw.close();
-    } catch (IOException e) {
-      e.printStackTrace();
-    } finally {
-      if (bw != null) {
-        try {
-          bw.close();
-        } catch (IOException ioe) {
-          // give up
-        }
-      }
-    }
-  }
-
-  public static Index<String> loadFromFilename(String file) {
-    Index<String> index = new HashIndex<String>();
-    BufferedReader br = null;
-    try {
-      br = new BufferedReader(new FileReader(file));
-      for (String line; (line = br.readLine()) != null; ) {
-        int start = line.indexOf('=');
-        if (start == -1 || start == line.length() - 1) {
-          continue;
-        }
-        index.add(line.substring(start + 1));
-      }
-      br.close();
-    } catch (Exception e) {
-      e.printStackTrace();
-    } finally {
-      if (br != null) {
-        try {
-          br.close();
-        } catch (IOException ioe) {
-          // forget it
-        }
-      }
-    }
-    return index;
-  }
-
-  /**
-   * This saves the contents of this index into string form, as part of a larger
-   * text-serialization.  This is not intended to act as a standalone routine,
-   * instead being called from the text-serialization routine for a component
-   * that makes use of an Index, so everything can be stored in one file.  This is
-   * similar to <code>saveToFileName</code>.
-   * NOTE: adds an extra newline at the end of the sequence.
-   * @param bw Writer to save to.
-   * @throws IOException Exception thrown if cannot save.
-   */
-  public void saveToWriter(Writer bw) throws IOException {
-    for (int i = 0, sz = size(); i < sz; i++) {
-      bw.write(i + "=" + get(i) + '\n');
-    }
-    bw.write("\n");
-  }
-
-  /**
-   * This is the analogue of <code>loadFromFilename</code>, and is intended to be included in a routine
-   * that unpacks a text-serialized form of an object that incorporates an Index.
-   * NOTE: presumes that the next readLine() will read in the first line of the
-   * portion of the text file representing the saved Index.  Currently reads until it
-   * encounters a blank line, consuming that line and returning the Index.
-   * TODO: figure out how best to terminate: currently a blank line is considered to be a terminator.
-   * @param br The Reader to read the index from
-   * @return An Index read from a file
-   */
-  public static Index<String> loadFromReader(BufferedReader br) throws Exception {
-    HashIndex<String> index = new HashIndex<String>();
-    String line = br.readLine();
-    // terminate if EOF reached, or if a blank line is encountered.
-    while ((line != null) && (line.length() > 0)) {
-      int start = line.indexOf('=');
-      if (start == -1 || start == line.length() - 1) {
-        continue;
-      }
-      index.add(line.substring(start + 1));
-      line = br.readLine();
-    }
-    return index;
-  }
-
-  /** Returns a readable version of the Index contents
-   *
-   *  @return A String showing the full index contents
-   */
-  @Override
-  public String toString() {
-    return toString(Integer.MAX_VALUE);
-  }
-
-
-  public String toStringOneEntryPerLine() {
-    return toStringOneEntryPerLine(Integer.MAX_VALUE);
-  }
-
-
-  /** Returns a readable version of at least part of the Index contents.
-   *
-   *  @param n Show the first <i>n</i> items in the Index
-   *  @return A String showing some of the index contents
-   */
-  public String toString(int n) {
-    StringBuilder buff = new StringBuilder("[");
-    int sz = objects.size();
-    if (n > sz) {
-      n = sz;
-    }
-    int i;
-    for (i = 0; i < n; i++) {
-      E e = objects.get(i);
-      buff.append(i).append('=').append(e);
-      if (i < (sz-1)) buff.append(',');
-    }
-    if (i < sz) buff.append("...");
-    buff.append(']');
-    return buff.toString();
-  }
-
-  public String toStringOneEntryPerLine(int n) {
-    StringBuilder buff = new StringBuilder();
-    int sz = objects.size();
-    if (n > sz) {
-      n = sz;
-    }
-    int i;
-    for (i = 0; i < n; i++) {
-      E e = objects.get(i);
-      buff.append(e);
-      if (i < (sz-1)) buff.append('\n');
-    }
-    if (i < sz) buff.append("...");
-    return buff.toString();
-  }
-
-
-  private static final long serialVersionUID = 5398562825928375260L;
-
-  /**
-   * Returns an iterator over the elements of the collection.
-   * @return An iterator over the objects indexed
-   */
-  @Override
-  public Iterator<E> iterator() {
-    return objects.iterator();
-  }
-
-  /**
-   * Returns an unmodifiable view of the Index.  It is just
-   * a locked index that cannot be unlocked, so if you
-   * try to add something, nothing will happen (it won't throw
-   * an exception).  Trying to unlock it will throw an
-   * UnsupportedOperationException.  If the
-   * underlying Index is modified, the change will
-   * "write-through" to the view.
-   *
-   * @return An unmodifiable view of the Index
-   */
-  public HashIndex<E> unmodifiableView() {
-    HashIndex<E> newIndex = new HashIndex<E>() {
-      @Override
-      public void unlock() { throw new UnsupportedOperationException("This is an unmodifiable view!"); }
-      private static final long serialVersionUID = 3415903369787491736L;
-    };
-    newIndex.objects = objects;
-    newIndex.indexes = indexes;
-    newIndex.lock();
-    return newIndex;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/HashableCoreMap.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/HashableCoreMap.java
deleted file mode 100644
index 10d9080..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/HashableCoreMap.java
+++ /dev/null
@@ -1,142 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.Map;
-import java.util.Set;
-
-/**
- * An extension of {@link ArrayCoreMap} with an immutable set of key,value
- * pairs that is used for equality and hashcode comparisons.
- * 
- * @author dramage
- */
-public class HashableCoreMap extends ArrayCoreMap {
-
-  /** Set of immutable keys */
-  private final Set<Class<? extends TypesafeMap.Key<CoreMap, ?>>> immutableKeys;
-  
-  /** Pre-computed hashcode */
-  private final int hashcode;
-  
-  /**
-   * Creates an instance of HashableCoreMap with initial key,value pairs
-   * for the immutable, hashable keys as provided in the given map.
-   */
-  @SuppressWarnings("unchecked")
-  public HashableCoreMap(Map<Class<? extends TypesafeMap.Key<CoreMap, ?>>,Object> hashkey) {
-    int keyHashcode = 0;
-    int valueHashcode = 0;
-    
-    for (Map.Entry<Class<? extends TypesafeMap.Key<CoreMap, ?>>,Object> entry : hashkey.entrySet()) {
-      // NB it is important to compose these hashcodes in an order-independent
-      // way, so we just add them all here.
-      keyHashcode += entry.getKey().hashCode();
-      valueHashcode += entry.getValue().hashCode();
-      
-      super.set((Class<? extends TypesafeMap.Key>)entry.getKey(),
-          entry.getValue());
-    }
-    
-    this.immutableKeys = hashkey.keySet();
-    this.hashcode = keyHashcode * 31 + valueHashcode;
-  }
-  
-  /**
-   * Creates an instance by copying values from the given other CoreMap,
-   * using the values it associates with the given set of hashkeys for
-   * the immutable, hashable keys used by hashcode and equals.
-   */
-  @SuppressWarnings("unchecked")
-  public HashableCoreMap(ArrayCoreMap other, Set<Class<? extends TypesafeMap.Key<CoreMap, ?>>> hashkey) {
-    super(other);
-    
-    int keyHashcode = 0;
-    int valueHashcode = 0;
-    
-    for (Class<? extends TypesafeMap.Key<CoreMap, ?>> key : hashkey) {
-      // NB it is important to compose these hashcodes in an order-independent
-      // way, so we just add them all here.
-      keyHashcode += key.hashCode();
-      valueHashcode += super.get((Class)key).hashCode();
-    }
-    
-    this.immutableKeys = hashkey;
-    this.hashcode = keyHashcode * 31 + valueHashcode;
-  }
-  
-  /**
-   * Sets the value associated with the given key; if the the key is one
-   * of the hashable keys, throws an exception.
-   * 
-   * @throws HashableCoreMapException Attempting to set the value for an
-   *   immutable, hashable key.
-   */
-  @Override
-  public <VALUEBASE, VALUE extends VALUEBASE, KEY extends Key<CoreMap, VALUEBASE>>
-    VALUE set(Class<KEY> key, VALUE value) {
-    
-    if (immutableKeys.contains(key)) {
-      throw new HashableCoreMapException("Attempt to change value " +
-      		"of immutable field "+key.getSimpleName());
-    }
-    
-    return super.set(key, value);
-  }
-  
-  /**
-   * Provides a hash code based on the immutable keys and values provided
-   * to the constructor.
-   */
-  @Override
-  public int hashCode() {
-    return hashcode;
-  }
-  
-  /**
-   * If the provided object is a HashableCoreMap, equality is based only
-   * upon the values of the immutable hashkeys; otherwise, defaults to
-   * behavior of the superclass's equals method.
-   */
-  @SuppressWarnings("unchecked")
-  @Override
-  public boolean equals(Object o) {
-    if (o instanceof HashableCoreMap) {
-      HashableCoreMap other = (HashableCoreMap) o;
-      if (!other.immutableKeys.equals(this.immutableKeys)) {
-        return false;
-      }
-      for (Class<? extends TypesafeMap.Key<CoreMap, ?>> key : immutableKeys) {
-        if (!this.get((Class)key).equals(other.get((Class)key))) {
-          return false;
-        }
-      }
-      return true;
-    } else {
-      return super.equals(o);
-    }
-  }
-  
-  private static final long serialVersionUID = 1L;
-  
-  //
-  // Exception type
-  //
-  
-  /**
-   * An exception thrown when attempting to change the value associated
-   * with an (immutable) hash key in a HashableCoreMap.
-   * 
-   * @author dramage
-   */
-  public static class HashableCoreMapException extends RuntimeException {
-
-    public HashableCoreMapException(String message) {
-      super(message);
-    }
-    
-    /**
-     * 
-     */
-    private static final long serialVersionUID = 1L;
-  }
-  
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Heap.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Heap.java
deleted file mode 100644
index 5f5d8b7..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Heap.java
+++ /dev/null
@@ -1,80 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.Iterator;
-
-/**
- * Heap interface.
- * These heaps implement a decreaseKey operation, which requires
- * a separate Object to Index map, and for objects to be unique in the Heap.
- * <p/>
- * An interface cannot specify constructors, but it is nevertheless
- * expected that an implementation of this interface has a constructor
- * that takes a Comparator, which is used for ordering ("scoring")
- * objects:
- * <code>public Heap(Comparator cmp) {}</code>
- *
- * @author Dan Klein
- * @version 12/14/00
- */
-public interface Heap<E> {
-
-  /**
-   * Returns the minimum object, then removes that object from the heap.
-   *
-   * @return the minimum object
-   */
-  public E extractMin();
-
-  /**
-   * Returns the minimum Object in this heap. The heap is not modified.
-   *
-   * @return the minimum object
-   */
-  public E min();
-
-  /**
-   * Adds the object to the heap.  If the object is in the heap, this
-   * should act as a decrease-key (if the new version has better
-   * priority) or a no-op (otherwise).
-   *
-   * @param o a new element
-   * @return true, always
-   */
-  public boolean add(E o);
-
-  /**
-   * The number of elements currently in the heap.
-   *
-   * @return the heap's size
-   */
-  public int size();
-
-  /**
-   * Returns true iff the heap is empty.
-   *
-   * @return a <code>boolean</code> value
-   */
-  public boolean isEmpty();
-
-  /**
-   * Raises the priority of an object in the heap.  This works in a
-   * somewhat unusual way -- the object <code>o</code> should have
-   * changed with respect to the comparator passed in to the heap on
-   * construction.  However, it should NOT have changed with respect
-   * to its equals() method.  This is unlike the Java SortedSet where
-   * the comparator should be consistent with equals(); here they
-   * should not match.
-   *
-   * @param o an <code>Object</code> value which has changed wrt the heap's ordering
-   * @return the cost of the decrease-key operation, for analysis
-   */
-  public int decreaseKey(E o); // should be void; int for analysis
-
-  /**
-   * Returns an iterator over its elements, in order.
-   *
-   * @return an <code>Iterator</code> value
-   */
-  public Iterator<E> iterator();
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IdentityHashSet.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IdentityHashSet.java
deleted file mode 100644
index 8273d09..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IdentityHashSet.java
+++ /dev/null
@@ -1,242 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.IOException;
-import java.io.ObjectInputStream;
-import java.io.ObjectOutputStream;
-import java.io.Serializable;
-import java.util.*;
-
-/** This class provides a <code>IdentityHashMap</code>-backed
- *  implementation of the <code>Set</code> interface.  This means that
- *  whether an object is an element of the set depends on whether it is ==
- *  (rather than <code>equals()</code>) to an element of the set.  This is
- *  different from a normal <code>HashSet</code>, where set membership
- *  depends on <code>equals()</code>, rather than ==.
- *
- *  Each element in the set is a key in the backing IdentityHashMap; each key
- *  maps to a static token, denoting that the key does, in fact, exist.
- *
- *  Most operations are O(1), assuming no hash collisions.  In the worst
- *  case (where all hashes collide), operations are O(n).
- *
- *  @author Bill MacCartney
- */
-public class IdentityHashSet<E> extends AbstractSet<E> implements Cloneable, Serializable {
-
-  // INSTANCE VARIABLES -------------------------------------------------
-
-  // the IdentityHashMap which backs this set
-  private transient IdentityHashMap<E,Boolean> map;
-  private static final long serialVersionUID = -5024744406713321676L;
-
-
-  // CONSTRUCTORS ---------------------------------------------------------
-
-  /** Construct a new, empty IdentityHashSet whose backing IdentityHashMap
-   *  has the default expected maximum size (21);
-   */
-  public IdentityHashSet() {
-    map = new IdentityHashMap<E, Boolean>();
-  }
-
-  /** Construct a new, empty IdentityHashSet whose backing IdentityHashMap
-   *  has the specified expected maximum size.  Putting more than the
-   *  expected number of elements into the set may cause the internal data
-   *  structure to grow, which may be somewhat time-consuming.
-   *
-   * @param expectedMaxSize the expected maximum size of the set.
-   */
-  public IdentityHashSet(int expectedMaxSize) {
-    map = new IdentityHashMap<E, Boolean>(expectedMaxSize);
-  }
-
-  /** Construct a new IdentityHashSet with the same elements as the supplied
-   *  Collection (eliminating any duplicates, of course); the backing
-   *  IdentityHashMap will have the default expected maximum size (21).
-   *
-   * @param c a Collection containing the elements with which this set will
-   *          be initialized.
-   */
-  public IdentityHashSet(Collection<? extends E> c) {
-    map = new IdentityHashMap<E, Boolean>();
-    addAll(c);
-  }
-
-
-  // PUBLIC METHODS ---------------------------------------------------------
-
-  /** Adds the specified element to this set if it is not already present.
-   *
-   *  Remember that this set implementation uses == (not
-   *  <code>equals()</code>) to test whether an element is present in the
-   *  set.
-   *
-   * @param       o             element to add to this set
-   * @return      true          if the element was added,
-   *              false         otherwise
-   */
-  @Override
-  public boolean add(E o) {
-    if (map.containsKey(o)) {
-      return false;
-    } else {
-      internalAdd(o);
-      return true;
-    }
-  }
-
-  /** Removes all of the elements from this set.
-   */
-  @Override
-  public void clear() {
-    map.clear();
-  }
-
-  /** Returns a shallow copy of this <code>IdentityHashSet</code> instance:
-   *  the elements themselves are not cloned.
-   *
-   *  @return a shallow copy of this set.
-   */
-  @Override
-  public Object clone() {
-    Iterator<E> it = iterator();
-    IdentityHashSet<E> clone = new IdentityHashSet<E>(size() * 2);
-    while (it.hasNext()) {
-      clone.internalAdd(it.next());
-    }
-    return clone;
-  }
-
-  /** Returns true if this set contains the specified element.
-   *
-   *  Remember that this set implementation uses == (not
-   *  <code>equals()</code>) to test whether an element is present in the
-   *  set.
-   *
-   *  @param o Element whose presence in this set is to be
-   *  tested.
-   *
-   *  @return <code>true</code> if this set contains the specified element.
-   */
-  @Override
-  public boolean contains(Object o) {
-    return map.containsKey(o);
-  }
-
-  /** Returns <code>true</code> if this set contains no elements.
-   *
-   *  @return <code>true</code> if this set contains no elements.
-   */
-  @Override
-  public boolean isEmpty() {
-    return map.isEmpty();
-  }
-
-  /** Returns an iterator over the elements in this set. The elements are
-   *  returned in no particular order.
-   *
-   *  @return an <code>Iterator</code> over the elements in this set.
-   */
-  @Override
-  public Iterator<E> iterator() {
-    return map.keySet().iterator();
-  }
-
-  /** Removes the specified element from this set if it is present.
-   *
-   *  Remember that this set implementation uses == (not
-   *  <code>equals()</code>) to test whether an element is present in the
-   *  set.
-   *
-   *  @param o Object to be removed from this set, if present.
-   *
-   *  @return <code>true</code> if the set contained the specified element.
-   */
-  @Override
-  public boolean remove(Object o) {
-    return (map.remove(o) != null);
-  }
-
-  /** Returns the number of elements in this set (its cardinality).
-   *
-   *  @return the number of elements in this set (its cardinality).
-   */
-  @Override
-  public int size() {
-    return map.size();
-  }
-
-  /** Just for testing. */
-  public static void main(String[] args) {
-    Integer x = Integer.valueOf(3);
-    Integer y = Integer.valueOf(4);
-    Integer z = Integer.valueOf(5);
-    List<Integer> a = Arrays.asList(new Integer[] {x, y, z});
-    List<String> b = Arrays.asList(new String[] {"Larry", "Moe", "Curly"});
-    List<Integer> c = Arrays.asList(new Integer[] {x, y, z});
-    List<String> d = Arrays.asList(new String[] {"Larry", "Moe", "Curly"});
-    HashSet<List<?>> hs = new HashSet<List<?>>();
-    IdentityHashSet<List<?>> ihs = new IdentityHashSet<List<?>>();
-    hs.add(a);
-    hs.add(b);
-    ihs.add(a);
-    ihs.add(b);
-    System.out.println("List a is " + a);
-    System.out.println("List b is " + b);
-    System.out.println("List c is " + c);
-    System.out.println("List d is " + d);
-    System.out.println("HashSet hs contains a and b: " + hs);
-    System.out.println("IdentityHashSet ihs contains a and b: " + ihs);
-    System.out.println("hs contains a? " + hs.contains(a));
-    System.out.println("hs contains b? " + hs.contains(b));
-    System.out.println("hs contains c? " + hs.contains(c));
-    System.out.println("hs contains d? " + hs.contains(d));
-    System.out.println("ihs contains a? " + ihs.contains(a));
-    System.out.println("ihs contains b? " + ihs.contains(b));
-    System.out.println("ihs contains c? " + ihs.contains(c));
-    System.out.println("ihs contains d? " + ihs.contains(d));
-  }
-
-  // PRIVATE METHODS -----------------------------------------------------------
-
-  /** Adds the supplied element to this set.  This private method is used
-   *  internally [by clone()] instead of add(), because add() can be
-   *  overridden to do unexpected things.
-   *
-   *  @param    o        the element to add to this set
-   */
-  private void internalAdd(E o) {
-    map.put(o, Boolean.TRUE);
-  }
-
-  /** Serialize this Object in a manner which is binary-compatible with the
-   *  JDK.
-   */
-  private void writeObject(ObjectOutputStream s) throws IOException {
-    Iterator<E> it = iterator();
-    s.writeInt(size() * 2);             // expectedMaxSize
-    s.writeInt(size());
-    while (it.hasNext())
-      s.writeObject(it.next());
-  }
-
-  /** Deserialize this Object in a manner which is binary-compatible with
-   *  the JDK.
-   */
-  private void readObject(ObjectInputStream s)
-    throws IOException, ClassNotFoundException {
-    int size, expectedMaxSize;
-    Object o;
-
-    expectedMaxSize = s.readInt();
-    size = s.readInt();
-
-    map = new IdentityHashMap<E, Boolean>(expectedMaxSize);
-    for (int i = 0; i < size; i++) {
-      o = s.readObject();
-      internalAdd(ErasureUtils.<E>uncheckedCast(o));
-    }
-  }
-}
-
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Index.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Index.java
deleted file mode 100644
index 842769d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Index.java
+++ /dev/null
@@ -1,126 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.Serializable;
-import java.io.Writer;
-import java.io.IOException;
-import java.util.Collection;
-import java.util.List;
-
-/**
- * Minimalist interface for implementations of Index.
- *
- * This interface should allow HashIndex and OAIndex to be used interchangeably
- * in certain contexts.
- *
- * Originally extracted from util.Index on 3/13/2007.
- *
- * @author Daniel Cer
- *
- * @param <E> The type of objects in the Index
- */
-public interface Index<E> extends Iterable<E>, Serializable {
-
-    /**
-     * Returns the number of indexed objects.
-     * @return the number of indexed objects.
-     */
-    public abstract int size();
-
-    /**
-     * Gets the object whose index is the integer argument.
-     * @param i the integer index to be queried for the corresponding argument
-     * @return the object whose index is the integer argument.
-     */
-    public abstract E get(int i);
-
-    /**
-     * Returns the integer index of the Object in the Index or -1 if the Object is not already in the Index.
-     * @param o the Object whose index is desired.
-     * @return the index of the Object argument.  Returns -1 if the object is not in the index.
-     */
-    public abstract int indexOf(E o);
-
-    /**
-     * Takes an Object and returns the integer index of the Object,
-     * perhaps adding it to the index first.
-     * Returns -1 if the Object is not in the Index.
-     * (Note: indexOf(x, true) is the direct replacement for the number(x)
-     * method in the old Numberer class.)
-     *
-     * @param o the Object whose index is desired.
-     * @param add Whether it is okay to add new items to the index
-     * @return the index of the Object argument.  Returns -1 if the object is not in the index.
-     */
-    public abstract int indexOf(E o, boolean add);
-
-
-    // mg2009. Methods below were temporarily added when IndexInterface was renamed
-    // to Index. These methods are currently (2009-03-09) needed in order to have core classes
-    // of JavaNLP (Dataset, LinearClassifier, etc.) use Index instead of HashIndex.
-    // Possible javanlp task: delete some of these methods.
-
-    /**
-     * Returns a complete {@link List} of indexed objects, in the order of their indices.
-     *
-     * @return a complete {@link List} of indexed objects
-     */
-    public List<E> objectsList();
-
-    /**
-     * Looks up the objects corresponding to an array of indices, and returns them in a {@link Collection}.
-     *
-     * @param indices An array of indices
-     * @return a {@link Collection} of the objects corresponding to the indices argument.
-     */
-    public Collection<E> objects(int[] indices);
-
-    /**
-     * Queries the Index for whether it's locked or not.
-     * @return whether or not the Index is locked
-     */
-    public boolean isLocked();
-
-    /**
-     * Locks the Index.  A locked index cannot have new elements added to it (calls to {@link #add} will
-     * leave the Index unchanged and return <code>false</code>).
-     */
-    public void lock();
-
-    /**
-     * Unlocks the Index.  A locked index cannot have new elements added to it (calls to {@link #add} will
-     * leave the Index unchanged and return <code>false</code>).
-     * */
-    public void unlock();
-
-    /**
-     * Save the contents of this index into string form, as part of a larger
-     * text-serialization.
-     *
-     * @param out Writer to save to.
-     * @throws IOException Exception thrown if cannot save.
-     */
-    public void saveToWriter(Writer out) throws IOException;
-
-    /**
-     * Save the contents of this index into a file.
-     *
-     * @param s File name.
-     */
-    public void saveToFilename(String s);
-
-
-    // Subset of the Collection interface.  These come from old uses of HashIndex. Particularly avoid using these.
-
-    public boolean contains(Object o);
-
-    public <T> T[] toArray(T[] a);
-
-    public boolean add(E e);
-
-    // public boolean remove(Object o);
-
-    public boolean addAll(Collection<? extends E> c);
-
-    public void clear();
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntPair.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntPair.java
deleted file mode 100644
index d52316e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntPair.java
+++ /dev/null
@@ -1,37 +0,0 @@
-package edu.stanford.nlp.util;
-
-public class IntPair extends IntTuple {
-  private static final long serialVersionUID = 1L;
-
-
-  public IntPair() {
-    super(2);
-  }
-
-
-  public IntPair(int src, int trgt) {
-    super(2);
-    elements[0] = src;
-    elements[1] = trgt;
-  }
-
-
-  public int getSource() {
-    return get(0);
-  }
-
-  public int getTarget() {
-    return get(1);
-  }
-
-
-  @Override
-  public IntTuple getCopy() {
-    IntPair nT = new IntPair(elements[0], elements[1]);
-    return nT;
-  }
-
-
-}
-
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntQuadruple.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntQuadruple.java
deleted file mode 100644
index bdcecbd..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntQuadruple.java
+++ /dev/null
@@ -1,44 +0,0 @@
-package edu.stanford.nlp.util;
-
-public class IntQuadruple extends IntTuple {
-
-  private static final long serialVersionUID = 7154973101012473479L;
-
-
-  public IntQuadruple() {
-    super(4);
-  }
-
-  public IntQuadruple(int src, int mid, int trgt, int trgt2) {
-    super(4);
-    elements[0] = src;
-    elements[1] = mid;
-    elements[2] = trgt;
-    elements[3] = trgt2;
-  }
-
-
-  @Override
-  public IntTuple getCopy() {
-    IntQuadruple nT = new IntQuadruple(elements[0], elements[1], elements[2], elements[3]);
-    return nT;
-  }
-
-
-  public int getSource() {
-    return get(0);
-  }
-
-
-  public int getMiddle() {
-    return get(1);
-  }
-
-  public int getTarget() {
-    return get(2);
-  }
-
-  public int getTarget2() {
-    return get(3);
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntTriple.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntTriple.java
deleted file mode 100644
index d898479..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntTriple.java
+++ /dev/null
@@ -1,39 +0,0 @@
-package edu.stanford.nlp.util;
-
-public class IntTriple extends IntTuple {
-
-  private static final long serialVersionUID = -3744404627253652799L;
-
-  public IntTriple() {
-    super(3);
-  }
-
-  public IntTriple(int src, int mid, int trgt) {
-    super(3);
-    elements[0] = src;
-    elements[1] = mid;
-    elements[2] = trgt;
-  }
-
-
-  @Override
-  public IntTuple getCopy() {
-    IntTriple nT = new IntTriple(elements[0], elements[1], elements[2]);
-    return nT;
-  }
-
-
-  public int getSource() {
-    return elements[0];
-  }
-
-  public int getTarget() {
-    return elements[2];
-  }
-
-  public int getMiddle() {
-    return elements[1];
-  }
-
-}
-
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntTuple.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntTuple.java
deleted file mode 100644
index 51ee9e5..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntTuple.java
+++ /dev/null
@@ -1,164 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.Serializable;
-import java.util.List;
-
-
-/**
- * A tuple of int. There are special classes for IntUni, IntPair, IntTriple
- * and IntQuadruple. The motivation for that was the different hashCode
- * implementations.
- * By using the static IntTuple.getIntTuple(numElements) one can obtain an
- * instance of the appropriate sub-class.
- *
- * @author Kristina Toutanova (kristina@cs.stanford.edu)
- */
-public class IntTuple implements Serializable, Comparable<IntTuple> {
-
-  final int[] elements;
-
-  private static final long serialVersionUID = 7266305463893511982L;
-
-
-  public IntTuple(int[] arr) {
-    elements = arr;
-  }
-
-  public IntTuple(int num) {
-    elements = new int[num];
-  }
-
-  public int compareTo(IntTuple o) {
-    int commonLen = Math.min(o.length(), length());
-    for (int i = 0; i < commonLen; i++) {
-      int a = get(i);
-      int b = o.get(i);
-      if (a < b) return -1;
-      if (b < a) return 1;
-    }
-    if (o.length() == length()) {
-      return 0;
-    } else {
-      return (length() < o.length())? -1:1;
-    }
-  }
-
-  public int get(int num) {
-    return elements[num];
-  }
-
-
-  public void set(int num, int val) {
-    elements[num] = val;
-  }
-
-  public void shiftLeft() {
-    System.arraycopy(elements, 1, elements, 0, elements.length - 1);  // the API does guarantee that this works when src and dest overlap, as here
-    elements[elements.length - 1] = 0;
-  }
-
-
-  public IntTuple getCopy() {
-    IntTuple copy = IntTuple.getIntTuple(elements.length); //new IntTuple(numElements);
-    System.arraycopy(elements, 0, copy.elements, 0, elements.length);
-    return copy;
-  }
-
-
-  public int[] elems() {
-    return elements;
-  }
-
-  @Override
-  public boolean equals(Object iO) {
-    if (!(iO instanceof IntTuple)) {
-      return false;
-    }
-    IntTuple i = (IntTuple) iO;
-    if (i.elements.length != elements.length) {
-      return false;
-    }
-    for (int j = 0; j < elements.length; j++) {
-      if (elements[j] != i.get(j)) {
-        return false;
-      }
-    }
-    return true;
-  }
-
-
-  @Override
-  public int hashCode() {
-    int sum = 0;
-    for (int element : elements) {
-      sum = sum * 17 + element;
-    }
-    return sum;
-  }
-
-
-  public int length() {
-    return elements.length;
-  }
-
-
-  public static IntTuple getIntTuple(int num) {
-    if (num == 1) {
-      return new IntUni();
-    }
-    if ((num == 2)) {
-      return new IntPair();
-    }
-    if (num == 3) {
-      return new IntTriple();
-    }
-    if (num == 4) {
-      return new IntQuadruple();
-    } else {
-      return new IntTuple(num);
-    }
-  }
-
-
-  public static IntTuple getIntTuple(List<Integer> integers) {
-    IntTuple t = IntTuple.getIntTuple(integers.size());
-    for (int i = 0; i < t.length(); i++) {
-      t.set(i, integers.get(i).intValue());
-    }
-    return t;
-  }
-
-  @Override
-  public String toString() {
-    StringBuilder name = new StringBuilder();
-    for (int i = 0; i < elements.length; i++) {
-      name.append(get(i));
-      if (i < elements.length - 1) {
-        name.append(' ');
-      }
-    }
-    return name.toString();
-  }
-
-
-  public static IntTuple concat(IntTuple t1, IntTuple t2) {
-    int n1 = t1.length();
-    int n2 = t2.length();
-    IntTuple res = IntTuple.getIntTuple(n1 + n2);
-
-    for (int j = 0; j < n1; j++) {
-      res.set(j, t1.get(j));
-    }
-    for (int i = 0; i < n2; i++) {
-      res.set(n1 + i, t2.get(i));
-    }
-    return res;
-  }
-
-
-  public void print() {
-    String s = toString();
-    System.out.print(s);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntUni.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntUni.java
deleted file mode 100644
index f84db5d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/IntUni.java
+++ /dev/null
@@ -1,43 +0,0 @@
-package edu.stanford.nlp.util;
-
-/**
- * Just a single integer
- *
- * @author Kristina Toutanova (kristina@cs.stanford.edu)
- */
-
-public class IntUni extends IntTuple {
-
-  public IntUni() {
-    super(1);
-  }
-
-
-  public IntUni(int src) {
-    super(1);
-    elements[0] = src;
-  }
-
-
-  public int getSource() {
-    return elements[0];
-  }
-
-  public void setSource(int src) {
-    elements[0] = src;
-  }
-
-
-  @Override
-  public IntTuple getCopy() {
-    IntUni nT = new IntUni(elements[0]);
-    return nT;
-  }
-
-  public void add(int val) {
-    elements[0] += val;
-  }
-
-  private static final long serialVersionUID = -7182556672628741200L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Interner.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Interner.java
deleted file mode 100644
index a68c261..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Interner.java
+++ /dev/null
@@ -1,110 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.lang.ref.WeakReference;
-import java.util.Map;
-import java.util.Set;
-
-/**
- * For interning (canonicalizing) things.
- * <p/>
- * It maps any object to a unique interned version which .equals the
- * presented object.  If presented with a new object which has no
- * previous interned version, the presented object becomes the
- * interned version.  You can tell if your object has been chosen as
- * the new unique representative by checking whether o == intern(o).
- * The interners use WeakHashMap, meaning that if the only pointers
- * to an interned item are the interners' backing maps, that item can
- * still be garbage collected.  Since the gc thread can silently
- * remove things from the backing map, there's no public way to get
- * the backing map, but feel free to add one at your own risk.
- * <p/>
- * Note that in general it is just as good or better to use the
- * static Interner.globalIntern() method rather than making an
- * instance of Interner and using the instance-level intern().
- * <p/>
- * Author: Dan Klein
- * Date: 9/28/03
- *
- * @author Dan Klein
- */
-public class Interner<T> {
-
-  protected static Interner<Object> interner = Generics.newInterner();
-
-  /**
-   * For getting the instance that global methods use.
-   */
-  public static Interner<Object> getGlobal() {
-    return interner;
-  }
-
-  /**
-   * For supplying a new instance for the global methods to use.
-   * 
-   * @return the previous global interner.
-   */
-  public static Interner<Object> setGlobal(Interner<Object> interner) {
-    Interner<Object> oldInterner = Interner.interner;
-    Interner.interner = interner;
-    return oldInterner;
-  }
-
-  /**
-   * Returns a unique object o' that .equals the argument o.  If o
-   * itself is returned, this is the first request for an object
-   * .equals to o.
-   */
-  @SuppressWarnings("unchecked")
-  public static <T> T globalIntern(T o) {
-    return (T) getGlobal().intern(o);
-  }
-
-
-  protected Map<T,WeakReference<T>> map = Generics.newWeakHashMap();
-
-  public void clear() { map = Generics.newWeakHashMap(); }
-  
-  /**
-   * Returns a unique object o' that .equals the argument o.  If o
-   * itself is returned, this is the first request for an object
-   * .equals to o.
-   */
-  public T intern(T o) {
-    WeakReference<T> ref = map.get(o);
-    if (ref == null) {
-      ref = Generics.newWeakReference(o);
-      map.put(o, ref);
-    }
-//    else {
-//      System.err.println("Found dup for " + o);
-//    }
-    return ref.get();
-  }
-
-  /**
-   * Returns a <code>Set</code> such that each element in the returned set
-   * is a unique object e' that .equals the corresponding element e in the
-   * original set.
-   */
-  public Set<T> internAll(Set<T> s) {
-    Set<T> result = Generics.newHashSet();
-    for (T o : s) {
-      result.add(intern(o));
-    }
-    return result;
-  }
-
-  public int size() {
-    return map.size();
-  }
-
-  /**
-   * Test method: interns its arguments and says whether they == themselves.
-   */
-  public static void main(String[] args) {
-    for (int i = 0; i < args.length; i++) {
-      String str = args[i];
-      System.out.println(Interner.globalIntern(str) == str);
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Interval.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Interval.java
deleted file mode 100644
index 2de22e3..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Interval.java
+++ /dev/null
@@ -1,458 +0,0 @@
-package edu.stanford.nlp.util;
-
-/**
- * Represents a interval
- *
- * @author Angel Chang
- */
-public class Interval<E extends Comparable<E>> extends Pair<E,E> implements HasInterval<E> {
-  public static int INTERVAL_OPEN_BEGIN = 0x01;
-  public static int INTERVAL_OPEN_END = 0x02;
-
-  private int flags;                                                                                              
-  public enum RelType { BEFORE, AFTER, EQUAL, BEGIN_MEET_END, END_MEET_BEGIN, CONTAIN, INSIDE, OVERLAP, UNKNOWN, NONE }
-
-  protected final static int REL_FLAGS_SAME = 0x0001;
-  protected final static int REL_FLAGS_BEFORE = 0x0002;
-  protected final static int REL_FLAGS_AFTER = 0x0004;
-  protected final static int REL_FLAGS_UNKNOWN = 0x0007;
-  protected final static int REL_FLAGS_SS_SHIFT = 0;
-  protected final static int REL_FLAGS_SE_SHIFT = 1*4;
-  protected final static int REL_FLAGS_ES_SHIFT = 2*4;
-  protected final static int REL_FLAGS_EE_SHIFT = 3*4;
-  public final static int REL_FLAGS_SS_SAME = 0x0001;
-  public final static int REL_FLAGS_SS_BEFORE = 0x0002;
-  public final static int REL_FLAGS_SS_AFTER = 0x0004;
-  public final static int REL_FLAGS_SS_UNKNOWN = 0x0007;
-  public final static int REL_FLAGS_SE_SAME = 0x0010;
-  public final static int REL_FLAGS_SE_BEFORE = 0x0020;
-  public final static int REL_FLAGS_SE_AFTER = 0x0040;
-  public final static int REL_FLAGS_SE_UNKNOWN = 0x0070;
-  public final static int REL_FLAGS_ES_SAME = 0x0100;
-  public final static int REL_FLAGS_ES_BEFORE = 0x0200;
-  public final static int REL_FLAGS_ES_AFTER = 0x0400;
-  public final static int REL_FLAGS_ES_UNKNOWN = 0x0700;
-  public final static int REL_FLAGS_EE_SAME = 0x1000;
-  public final static int REL_FLAGS_EE_BEFORE = 0x2000;
-  public final static int REL_FLAGS_EE_AFTER = 0x4000;
-  public final static int REL_FLAGS_EE_UNKNOWN = 0x7000;
-
-  public final static int REL_FLAGS_INTERVAL_SAME = 0x00010000;    // SS,EE  SAME
-                                                                   // Can be set with OVERLAP, INSIDE, CONTAIN
-  public final static int REL_FLAGS_INTERVAL_BEFORE = 0x00020000;  // ES BEFORE => SS, SE, EE BEFORE
-  public final static int REL_FLAGS_INTERVAL_AFTER = 0x00040000;   // SE AFTER => SS, ES, EE AFTER
-
-  // flags can be set together along with SAME
-  public final static int REL_FLAGS_INTERVAL_OVERLAP = 0x00100000; // SS SAME or AFTER, SE SAME or BEFORE
-                                                                   // SS SAME or BEFORE, ES SAME or AFTER
-  public final static int REL_FLAGS_INTERVAL_INSIDE = 0x00200000;  // SS SAME or AFTER, EE SAME or BEFORE
-  public final static int REL_FLAGS_INTERVAL_CONTAIN = 0x00400000; // SS SAME or BEFORE, EE SAME or AFTER
-  public final static int REL_FLAGS_INTERVAL_UNKNOWN = 0x00770000;
-
-  public final static int REL_FLAGS_INTERVAL_ALMOST_SAME = 0x01000000;
-  public final static int REL_FLAGS_INTERVAL_ALMOST_BEFORE = 0x01000000;
-  public final static int REL_FLAGS_INTERVAL_ALMOST_AFTER = 0x01000000;
-
-//  public final static int REL_FLAGS_INTERVAL_ALMOST_OVERLAP = 0x10000000;
-//  public final static int REL_FLAGS_INTERVAL_ALMOST_INSIDE = 0x20000000;
-//  public final static int REL_FLAGS_INTERVAL_ALMOST_CONTAIN = 0x40000000;
-
-  public final static int REL_FLAGS_INTERVAL_FUZZY = 0x80000000;
-
-  protected Interval(E a, E b, int flags) {
-    super(a,b);
-    this.flags = flags;
-    int comp = a.compareTo(b);
-    if (comp > 0) {
-      throw new IllegalArgumentException("Invalid interval: " + a + "," + b);
-    }
-  }
-
-  public static <E extends Comparable<E>> Interval<E> toInterval(E a, E b) {
-    return toInterval(a,b,0);
-  }
-
-  public static <E extends Comparable<E>> Interval<E> toInterval(E a, E b, int flags) {
-    int comp = a.compareTo(b);
-    if (comp <= 0) {
-      return new Interval(a,b, flags);
-    } else {
-      return null;
-    }
-  }
-
-  public static <E extends Comparable<E>> Interval<E> toValidInterval(E a, E b) {
-    return toValidInterval(a,b,0);
-  }
-
-  public static <E extends Comparable<E>> Interval<E> toValidInterval(E a, E b, int flags) {
-    int comp = a.compareTo(b);
-    if (comp <= 0) {
-      return new Interval(a,b,flags);
-    } else {
-      return new Interval(b,a,flags);
-    }
-  }
-
-  public Interval<E> getInterval() {
-    return this;
-  }
-
-  public E getBegin()
-  {
-    return first;
-  }
-
-  public E getEnd()
-  {
-    return second;
-  }
-
-  protected static <E extends Comparable<E>> E max(E a, E b)
-  {
-    int comp = a.compareTo(b);
-    return (comp > 0)? a:b;
-  }
-
-  protected static <E extends Comparable<E>> E min(E a, E b)
-  {
-    int comp = a.compareTo(b);
-    return (comp < 0)? a:b;
-  }
-
-  public boolean contains(E p)
-  {
-    return (first.compareTo(p) <= 0 && second.compareTo(p) >= 0);
-  }
-
-
-  // Returns (smallest) interval that contains both this and other
-  public Interval expand(Interval<E> other)
-  {
-    if (other == null) return this;
-    E a = min(this.first, other.first);
-    E b = max(this.second, other.second);
-    return toInterval(a,b);
-  }
-
-  // Returns interval that is the intersection of this and the other
-  // Returns null if intersect is null
-  public Interval intersect(Interval<E> other)
-  {
-    if (other == null) return null;
-    E a = max(this.first, other.first);
-    E b = min(this.second, other.second);
-    return toInterval(a,b);
-  }
-
-  // Returns true if this interval overlaps the other
-  // (i.e. the intersect would not be null
-  public boolean overlaps(Interval<E> other)
-  {
-    if (other == null) return false;
-    int comp12 = this.first.compareTo(other.second());
-    int comp21 = this.second.compareTo(other.first());
-    if (comp12 > 0 || comp21 < 0) {
-      return false;
-    } else {
-      if (comp12 == 0) {
-        if (!this.includesBegin() || !other.includesEnd()) {
-          return false;
-        }
-      }
-      if (comp21 == 0) {
-        if (!this.includesEnd() || !other.includesBegin()) {
-          return false;
-        }
-      }
-      return true;
-    }
-  }
-
-  public boolean includesBegin()
-  {
-    return ((flags & INTERVAL_OPEN_BEGIN) == 0);
-  }
-
-  public boolean includesEnd()
-  {
-    return ((flags & INTERVAL_OPEN_END) == 0);
-  }
-
-/*  // Returns true if end before (start of other)
-  public boolean isEndBeforeBegin(Interval<E> other)
-  {
-    if (other == null) return false;
-    int comp21 = this.second.compareTo(other.first());
-    return (comp21 < 0);
-  }
-
-  // Returns true if end before or eq (start of other)
-  public boolean isEndBeforeEqBegin(Interval<E> other)
-  {
-    if (other == null) return false;
-    int comp21 = this.second.compareTo(other.first());
-    return (comp21 <= 0);
-  }
-
-  // Returns true if end before or eq (start of other)
-  public boolean isEndEqBegin(Interval<E> other)
-  {
-    if (other == null) return false;
-    int comp21 = this.second.compareTo(other.first());
-    return (comp21 == 0);
-  }
-
-  // Returns true if start after (end of other)
-  public boolean isBeginAfterEnd(Interval<E> other)
-  {
-    if (other == null) return false;
-    int comp12 = this.first.compareTo(other.second());
-    return (comp12 > 0);
-  }
-
-  // Returns true if start eq(end of other)
-  public boolean isBeginAfterEqEnd(Interval<E> other)
-  {
-    if (other == null) return false;
-    int comp12 = this.first.compareTo(other.second());  
-    return (comp12 >= 0);
-  }
-
-  // Returns true if start eq(end of other)
-  public boolean isBeginEqEnd(Interval<E> other)
-  {
-    if (other == null) return false;
-    int comp12 = this.first.compareTo(other.second());
-    return (comp12 >= 0);
-  }
-
-  // Returns true if start is the same
-  public boolean isBeginSame(Interval<E> other)
-  {
-    if (other == null) return false;
-    int comp11 = this.first.compareTo(other.first());
-    return (comp11 == 0);
-  }
-
-  // Returns true if end is the same
-  public boolean isEndSame(Interval<E> other)
-  {
-    if (other == null) return false;
-    int comp22 = this.second.compareTo(other.second());
-    return (comp22 == 0);
-  } */
-
-  protected int toRelFlags(int comp, int shift)
-  {
-    int flags = 0;
-    if (comp == 0) {
-      flags = REL_FLAGS_SAME;
-    } else if (comp > 0) {
-      flags = REL_FLAGS_AFTER;
-    } else {
-      flags = REL_FLAGS_BEFORE;
-    }
-    flags = flags << shift;
-    return flags;
-  }
-
-  public int getRelationFlags(Interval<E> other)
-  {
-    if (other == null) return 0;
-    int flags = 0;
-    int comp11 = this.first.compareTo(other.first());   // 3 choices
-    flags |= toRelFlags(comp11, REL_FLAGS_SS_SHIFT);
-    int comp22 = this.second.compareTo(other.second());   // 3 choices
-    flags |= toRelFlags(comp22, REL_FLAGS_EE_SHIFT);
-    int comp12 = this.first.compareTo(other.second());   // 3 choices
-    flags |= toRelFlags(comp12, REL_FLAGS_SE_SHIFT);
-    int comp21 = this.second.compareTo(other.first());   // 3 choices
-    flags |= toRelFlags(comp21, REL_FLAGS_ES_SHIFT);
-    flags = addIntervalRelationFlags(flags, false);
-    return flags;
-  }
-
-  public int addIntervalRelationFlags(int flags, boolean checkFuzzy) {
-    int f11 = extractRelationSubflags(flags, REL_FLAGS_SS_SHIFT);
-    int f22 = extractRelationSubflags(flags, REL_FLAGS_EE_SHIFT);
-    int f12 = extractRelationSubflags(flags, REL_FLAGS_SE_SHIFT);
-    int f21 = extractRelationSubflags(flags, REL_FLAGS_ES_SHIFT);
-    if (checkFuzzy) {
-      boolean isFuzzy = checkMultipleBitSet(f11) || checkMultipleBitSet(f12) || checkMultipleBitSet(f21) || checkMultipleBitSet(f22);
-      if (isFuzzy) {
-        flags |= REL_FLAGS_INTERVAL_FUZZY;
-      }
-    }
-    if (((f11 & REL_FLAGS_SAME) != 0) && ((f22 & REL_FLAGS_SAME) != 0)) {
-      // SS,EE SAME
-      flags |= REL_FLAGS_INTERVAL_SAME;  // Possible
-    }
-    if (((f21 & REL_FLAGS_BEFORE) != 0)) {
-      // ES BEFORE => SS, SE, EE BEFORE
-      flags |= REL_FLAGS_INTERVAL_BEFORE;  // Possible
-    }
-    if (((f12 & REL_FLAGS_AFTER) != 0)) {
-      // SE AFTER => SS, ES, EE AFTER
-      flags |= REL_FLAGS_INTERVAL_AFTER;  // Possible
-    }
-    if (((f11 & (REL_FLAGS_SAME | REL_FLAGS_AFTER)) != 0) && ((f12 & (REL_FLAGS_SAME | REL_FLAGS_BEFORE)) != 0)) {
-      // SS SAME or AFTER, SE SAME or BEFORE
-      //     |-----|
-      // |------|
-      flags |= REL_FLAGS_INTERVAL_OVERLAP;  // Possible
-    }
-    if (((f11 & (REL_FLAGS_SAME | REL_FLAGS_BEFORE)) != 0) && ((f21 & (REL_FLAGS_SAME | REL_FLAGS_AFTER)) != 0)) {
-      // SS SAME or BEFORE, ES SAME or AFTER
-      // |------|
-      //     |-----|
-      flags |= REL_FLAGS_INTERVAL_OVERLAP;  // Possible
-    }
-    if (((f11 & (REL_FLAGS_SAME | REL_FLAGS_AFTER)) != 0) && ((f22 & (REL_FLAGS_SAME | REL_FLAGS_BEFORE)) != 0)) {
-      // SS SAME or AFTER, EE SAME or BEFORE
-      flags |= REL_FLAGS_INTERVAL_INSIDE;  // Possible
-    }
-    if (((f11 & (REL_FLAGS_SAME | REL_FLAGS_BEFORE)) != 0) && ((f22 & (REL_FLAGS_SAME | REL_FLAGS_AFTER)) != 0)) {
-      // SS SAME or BEFORE, EE SAME or AFTER
-      flags |= REL_FLAGS_INTERVAL_CONTAIN;  // Possible
-    }
-    return flags;
-  }
-
-  public static int extractRelationSubflags(int flags, int shift)
-  {
-    return (flags >> shift) & 0xf;
-  }
-
-  public static boolean checkMultipleBitSet(int flags) {
-    boolean set = false;
-    while (flags != 0) {
-      if ((flags & 0x01) != 0) {
-        if (set) { return false; }
-        else { set = true; }
-      }
-      flags = flags >> 1;
-    }
-    return false;
-  }
-
-  public static boolean checkFlagSet(int flags, int flag)
-  {
-    return ((flags & flag) != 0);
-  }
-
-  public static boolean checkFlagExclusiveSet(int flags, int flag, int mask)
-  {
-    int f = flags & flag;
-    if (f != 0) {
-      return ((flags & mask & ~flag) != 0)? false:true;
-    } else {
-      return false;
-    }
-  }
-
-  // Returns relation of this to other
-  // EQUAL: this have same endpoints as other
-  // OVERLAP:  this and other overlaps
-  // BEFORE: this ends before other starts
-  // AFTER: this starts after other ends
-  // BEGIN_MEET_END: this begin is the same as the others end
-  // END_MEET_BEGIN: this end is the same as the others begin
-  // CONTAIN: this contains the other
-  // INSIDE: this is inside the other
-
-  // TODO: Handle open/closed intervals?
-  public RelType getRelation(Interval<E> other) {
-    if (other == null) return RelType.NONE;
-    int comp11 = this.first.compareTo(other.first());   // 3 choices
-    int comp22 = this.second.compareTo(other.second());   // 3 choices
-
-    if (comp11 == 0) {
-      if (comp22 == 0) {
-        // |---|  this
-        // |---|   other
-        return RelType.EQUAL;
-      } if (comp22 < 0) {
-        // SAME START - this finishes before other
-        // |---|  this
-        // |------|   other
-        return RelType.INSIDE;
-      } else {
-        // SAME START - this finishes after other
-        // |------|  this
-        // |---|   other
-        return RelType.CONTAIN;
-      }
-    } else if (comp22 == 0) {
-      if (comp11 < 0) {
-        // SAME FINISH - this start before other
-        // |------|  this
-        //    |---|   other
-        return RelType.CONTAIN;
-      } else /*if (comp11 > 0) */ {
-        // SAME FINISH - this starts after other
-        //    |---|  this
-        // |------|   other
-        return RelType.INSIDE;
-      }
-    } else if (comp11 > 0 && comp22 < 0) {
-      //    |---|  this
-      // |---------|   other
-      return RelType.INSIDE;
-    } else if (comp11 < 0 && comp22 > 0) {
-      // |---------|  this
-      //    |---|   other
-      return RelType.CONTAIN;
-    } else {
-      int comp12 = this.first.compareTo(other.second());
-      int comp21 = this.second.compareTo(other.first());
-      if (comp12 > 0) {
-        //           |---|  this
-        // |---|   other
-        return RelType.AFTER;
-      } else if (comp21 < 0) {
-        // |---|  this
-        //        |---|   other
-        return RelType.BEFORE;
-      } else if (comp12 == 0) {
-        //     |---|  this
-        // |---|   other
-        return RelType.BEGIN_MEET_END;
-      } else if (comp21 == 0) {
-        // |---|  this
-        //     |---|   other
-        return RelType.END_MEET_BEGIN;
-      } else {
-        return RelType.OVERLAP;
-      }
-    }
-  }
-
-  @Override
-  public boolean equals(Object o) {
-    if (this == o) {
-      return true;
-    }
-    if (o == null || getClass() != o.getClass()) {
-      return false;
-    }
-    if (!super.equals(o)) {
-      return false;
-    }
-
-    Interval interval = (Interval) o;
-
-    if (flags != interval.flags) {
-      return false;
-    }
-
-    return true;
-  }
-
-  @Override
-  public int hashCode() {
-    int result = super.hashCode();
-    result = 31 * result + flags;
-    return result;
-  }
-}
\ No newline at end of file
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MapFactory.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MapFactory.java
deleted file mode 100644
index d467ea3..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MapFactory.java
+++ /dev/null
@@ -1,321 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.Serializable;
-import java.util.*;
-
-/**
- * A factory class for vending different sorts of Maps.
- *
- * @author Dan Klein (klein@cs.stanford.edu)
- * @author Kayur Patel (kdpatel@cs)
- */
-public abstract class MapFactory<K,V> implements Serializable {
-
-  // allow people to write subclasses
-  protected MapFactory() {
-  }
-
-  private static final long serialVersionUID = 4529666940763477360L;
-
-  @SuppressWarnings("unchecked")
-  public static final MapFactory HASH_MAP_FACTORY = new HashMapFactory();
-
-  @SuppressWarnings("unchecked")
-  public static final MapFactory IDENTITY_HASH_MAP_FACTORY = new IdentityHashMapFactory();
-
-  @SuppressWarnings("unchecked")
-  private static final MapFactory WEAK_HASH_MAP_FACTORY = new WeakHashMapFactory();
-
-  @SuppressWarnings("unchecked")
-  private static final MapFactory TREE_MAP_FACTORY = new TreeMapFactory();
-
-  @SuppressWarnings("unchecked")
-  private static final MapFactory LINKED_HASH_MAP_FACTORY = new LinkedHashMapFactory();
-
-  @SuppressWarnings("unchecked")
-  private static final MapFactory ARRAY_MAP_FACTORY = new ArrayMapFactory();
-
-
-  /** Return a MapFactory that returns a HashMap.
-   *  <i>Implementation note: This method uses the same trick as the methods
-   *  like emptyMap() introduced in the Collections class in JDK1.5 where
-   *  callers can call this method with apparent type safety because this
-   *  method takes the hit for the cast.
-   *
-   *  @return A MapFactory that makes a HashMap.
-   */
-  @SuppressWarnings("unchecked")
-  public static <K,V> MapFactory<K,V> hashMapFactory() {
-    return HASH_MAP_FACTORY;
-  }
-
-  /** Return a MapFactory that returns an IdentityHashMap.
-   *  <i>Implementation note: This method uses the same trick as the methods
-   *  like emptyMap() introduced in the Collections class in JDK1.5 where
-   *  callers can call this method with apparent type safety because this
-   *  method takes the hit for the cast.
-   *
-   *  @return A MapFactory that makes a HashMap.
-   */
-  @SuppressWarnings("unchecked")
-  public static <K,V> MapFactory<K,V> identityHashMapFactory() {
-    return IDENTITY_HASH_MAP_FACTORY;
-  }
-
-  /** Return a MapFactory that returns a WeakHashMap.
-   *  <i>Implementation note: This method uses the same trick as the methods
-   *  like emptyMap() introduced in the Collections class in JDK1.5 where
-   *  callers can call this method with apparent type safety because this
-   *  method takes the hit for the cast.
-   *
-   *  @return A MapFactory that makes a WeakHashMap.
-   */
-  @SuppressWarnings("unchecked")
-  public static <K,V> MapFactory<K,V> weakHashMapFactory() {
-    return WEAK_HASH_MAP_FACTORY;
-  }
-
-  /** Return a MapFactory that returns an TreeMap.
-   *  <i>Implementation note: This method uses the same trick as the methods
-   *  like emptyMap() introduced in the Collections class in JDK1.5 where
-   *  callers can call this method with apparent type safety because this
-   *  method takes the hit for the cast.
-   *
-   *  @return A MapFactory that makes an TreeMap.
-   */
-  @SuppressWarnings("unchecked")
-  public static <K,V> MapFactory<K,V> treeMapFactory() {
-    return TREE_MAP_FACTORY;
-  }
-
-  /** Return a MapFactory that returns an LinkedHashMap.
-   *  <i>Implementation note: This method uses the same trick as the methods
-   *  like emptyMap() introduced in the Collections class in JDK1.5 where
-   *  callers can call this method with apparent type safety because this
-   *  method takes the hit for the cast.
-   *
-   *  @return A MapFactory that makes an LinkedHashMap.
-   */
-  @SuppressWarnings("unchecked")
-  public static <K,V> MapFactory<K,V> linkedHashMapFactory() {
-    return LINKED_HASH_MAP_FACTORY;
-  }
-
-  /** Return a MapFactory that returns an ArrayMap.
-   *  <i>Implementation note: This method uses the same trick as the methods
-   *  like emptyMap() introduced in the Collections class in JDK1.5 where
-   *  callers can call this method with apparent type safety because this
-   *  method takes the hit for the cast.
-   *
-   *  @return A MapFactory that makes an ArrayMap.
-   */
-  @SuppressWarnings("unchecked")
-  public static <K,V> MapFactory<K,V> arrayMapFactory() {
-    return ARRAY_MAP_FACTORY;
-  }
-
-
-
-  private static class HashMapFactory<K,V> extends MapFactory<K,V> {
-
-    private static final long serialVersionUID = -9222344631596580863L;
-
-    @Override
-    public Map<K,V> newMap() {
-      return new HashMap<K,V>();
-    }
-
-    @Override
-    public Map<K,V> newMap(int initCapacity) {
-      return new HashMap<K,V>(initCapacity);
-    }
-
-    @Override
-    public <K1, V1> Map<K1, V1> setMap(Map<K1,V1> map) {
-      map = new HashMap<K1,V1>();
-      return map;
-    }
-
-    @Override
-    public <K1, V1> Map<K1, V1> setMap(Map<K1,V1> map, int initCapacity) {
-      map = new HashMap<K1,V1>(initCapacity);
-      return map;
-    }
-
-  } // end class HashMapFactory
-
-
-  private static class IdentityHashMapFactory<K,V> extends MapFactory<K,V> {
-
-    private static final long serialVersionUID = -9222344631596580863L;
-
-    @Override
-    public Map<K,V> newMap() {
-      return new IdentityHashMap<K,V>();
-    }
-
-    @Override
-    public Map<K,V> newMap(int initCapacity) {
-      return new IdentityHashMap<K,V>(initCapacity);
-    }
-
-    @Override
-    public <K1, V1> Map<K1, V1> setMap(Map<K1,V1> map) {
-      map = new IdentityHashMap<K1,V1>();
-      return map;
-    }
-
-    @Override
-    public <K1, V1> Map<K1, V1> setMap(Map<K1,V1> map, int initCapacity) {
-      map = new IdentityHashMap<K1,V1>(initCapacity);
-      return map;
-    }
-
-  } // end class IdentityHashMapFactory
-
-
-  private static class WeakHashMapFactory<K,V> extends MapFactory<K,V> {
-
-    private static final long serialVersionUID = 4790014244304941000L;
-
-    @Override
-    public Map<K,V> newMap() {
-      return new WeakHashMap<K,V>();
-    }
-
-    @Override
-    public Map<K,V> newMap(int initCapacity) {
-      return new WeakHashMap<K,V>(initCapacity);
-    }
-
-
-    @Override
-    public <K1, V1> Map<K1, V1> setMap(Map<K1,V1> map) {
-      map = new WeakHashMap<K1,V1>();
-      return map;
-    }
-
-    @Override
-    public <K1, V1> Map<K1, V1> setMap(Map<K1,V1> map, int initCapacity) {
-      map = new WeakHashMap<K1,V1>(initCapacity);
-      return map;
-    }
-
-  } // end class WeakHashMapFactory
-
-
-  private static class TreeMapFactory<K,V> extends MapFactory<K,V> {
-
-    private static final long serialVersionUID = -9138736068025818670L;
-
-    @Override
-    public Map<K,V> newMap() {
-      return new TreeMap<K,V>();
-    }
-
-    @Override
-    public Map<K,V> newMap(int initCapacity) {
-      return newMap();
-    }
-
-
-    @Override
-    public <K1, V1> Map<K1, V1> setMap(Map<K1,V1> map) {
-      map = new TreeMap<K1,V1>();
-      return map;
-    }
-
-    @Override
-    public <K1, V1> Map<K1, V1> setMap(Map<K1,V1> map, int initCapacity) {
-      map = new TreeMap<K1,V1>();
-      return map;
-    }
-
-  } // end class TreeMapFactory
-
-
-  private static class LinkedHashMapFactory<K,V> extends MapFactory<K,V> {
-
-    private static final long serialVersionUID = -9138736068025818671L;
-
-    @Override
-    public Map<K,V> newMap() {
-      return new LinkedHashMap<K,V>();
-    }
-
-    @Override
-    public Map<K,V> newMap(int initCapacity) {
-      return newMap();
-    }
-
-
-    @Override
-    public <K1, V1> Map<K1, V1> setMap(Map<K1,V1> map) {
-      map = new LinkedHashMap<K1,V1>();
-      return map;
-    }
-
-    @Override
-    public <K1, V1> Map<K1, V1> setMap(Map<K1,V1> map, int initCapacity) {
-      map = new LinkedHashMap<K1,V1>();
-      return map;
-    }
-
-  } // end class LinkedHashMapFactory
-
-
-  private static class ArrayMapFactory<K,V> extends MapFactory<K,V> {
-
-    private static final long serialVersionUID = -5855812734715185523L;
-
-    @Override
-    public Map<K,V> newMap() {
-      return new ArrayMap<K,V>();
-    }
-
-    @Override
-    public Map<K,V> newMap(int initCapacity) {
-      return new ArrayMap<K,V>(initCapacity);
-    }
-
-    @Override
-    public <K1, V1> Map<K1, V1> setMap(Map<K1, V1> map) {
-      return new ArrayMap<K1,V1>();
-    }
-
-    @Override
-    public <K1, V1> Map<K1, V1> setMap(Map<K1,V1> map, int initCapacity) {
-      map = new ArrayMap<K1,V1>(initCapacity);
-      return map;
-    }
-
-  } // end class ArrayMapFactory
-
-
-  /**
-   * Returns a new non-parameterized map of a particular sort.
-   *
-   * @return A new non-parameterized map of a particular sort
-   */
-  public abstract Map<K,V> newMap();
-
-  /**
-   * Returns a new non-parameterized map of a particular sort with an initial capacity.
-   *
-   * @param initCapacity initial capacity of the map
-   * @return A new non-parameterized map of a particular sort with an initial capacity
-   */
-  public abstract Map<K,V> newMap(int initCapacity);
-
-  /**
-   * A method to get a parameterized (genericized) map out.
-   *
-   * @param map A type-parameterized {@link Map} argument
-   * @return A {@link Map} with type-parameterization identical to that of
-   *         the argument.
-   */
-  public abstract <K1, V1> Map<K1, V1> setMap(Map<K1,V1> map);
-
-  public abstract <K1, V1> Map<K1, V1> setMap(Map<K1,V1> map, int initCapacity);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MemoryMonitor.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MemoryMonitor.java
deleted file mode 100644
index e87b8c3..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MemoryMonitor.java
+++ /dev/null
@@ -1,304 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.io.InputStreamReader;
-import java.io.PrintStream;
-import java.util.ArrayList;
-
-/**
- * Utilities for monitoring memory use, including peak memory use.
- *
- */
-public class MemoryMonitor {
-
-  public static final int MAX_SWAPS = 50;
-
-  protected long lastPoll;
-  protected long pollEvery;
-  protected int freeMem;
-  protected int usedSwap;
-  protected int swaps;
-  protected Runtime r;
-
-  public MemoryMonitor() {
-    this(60000); // 1 min default
-  }
-
-  public MemoryMonitor(long millis) {
-    lastPoll = 0;
-    pollEvery = millis;
-    freeMem = 0;
-    usedSwap = 0;
-    swaps = 0;
-    r = Runtime.getRuntime();
-    pollVMstat(true);
-  }
-
-  // TODO I don't think anyone uses this
-  public void pollAtMostEvery(long millis) {
-    pollEvery = millis;
-  }
-
-  public int getMaxMemory() {
-    return (int) (r.maxMemory() / 1024);
-  }
-
-  public int getMaxAvailableMemory() {
-    return getMaxAvailableMemory(false);
-  }
-
-  // kilobytes
-  public int getMaxAvailableMemory(boolean accurate) {
-    if (accurate) {
-      System.gc();
-    }
-    return (int) ((r.maxMemory() - r.totalMemory() + r.freeMemory()) / 1024);
-  }
-
-  public int getUsedMemory() {
-    return getUsedMemory(false);
-  }
-
-  public int getUsedMemory(boolean accurate) {
-    if (accurate) {
-      System.gc();
-    }
-    return (int) ((r.totalMemory() - r.freeMemory()) / 1024);
-  }
-
-  public int getSystemFreeMemory(boolean accurate) {
-    if (accurate) {
-      System.gc();
-    }
-    pollVMstat(false);
-    return freeMem;
-  }
-
-  public int getSystemUsedSwap() {
-    pollVMstat(false);
-    return usedSwap;
-  }
-
-  public double getSystemSwapsPerSec() {
-    pollVMstat(false);
-    return swaps;
-  }
-
-  protected static ArrayList<String> parseFields(BufferedReader br, String splitStr,
-      int[] lineNums, int[] positions) throws IOException {
-    int currLine = 0;
-    int processed = 0;
-    ArrayList<String> found = new ArrayList<String>();
-    while (br.ready()) {
-      String[] fields = br.readLine().split(splitStr);
-      currLine++;
-      if (currLine == lineNums[processed]) {
-        int currPosition = 0;
-        for (String f : fields) {
-          if (f.length() > 0) {
-            currPosition++;
-            if (currPosition == positions[processed]) {
-              found.add(f);
-              processed++;
-              if (processed == positions.length) {
-                break;
-              }
-            }
-          }
-        }
-      }
-    }
-    return found;
-  }
-
-  public void pollFree(boolean force) {
-    if (!force) {
-      long time = System.currentTimeMillis();
-      if (time - lastPoll < pollEvery) {
-        return;
-      }
-    }
-
-    Process p = null;
-    int[] freeLines = { 2, 4 };
-    int[] freePositions = { 4, 3 };
-
-    lastPoll = System.currentTimeMillis();
-    try {
-      p = r.exec("free");
-      p.waitFor();
-      BufferedReader bri = new BufferedReader(new InputStreamReader(p.getInputStream()));
-      ArrayList<String> l = parseFields(bri, " ", freeLines, freePositions);
-      freeMem = Integer.parseInt(l.get(1));
-      usedSwap = Integer.parseInt(l.get(2));
-    } catch (Exception e) {
-      System.err.println(e);
-    } finally {
-      if (p != null) {
-        p.destroy();
-      }
-    }
-  }
-
-  public void pollVMstat(boolean force) {
-    if (!force) {
-      long time = System.currentTimeMillis();
-      if (time - lastPoll < pollEvery) {
-        return;
-      }
-    }
-
-    Process p = null;
-    int[] lines = { 4, 4, 4, 4 };
-    int[] positions = { 3, 4, 7, 8 };
-
-    try {
-      p = r.exec("vmstat 1 2");
-      p.waitFor();
-      long time = System.currentTimeMillis();
-      BufferedReader bri = new BufferedReader(new InputStreamReader(p.getInputStream()));
-      ArrayList<String> l = parseFields(bri, " ", lines, positions);
-      usedSwap = Integer.parseInt(l.get(0));
-      freeMem = Integer.parseInt(l.get(1));
-      swaps = Integer.parseInt(l.get(2)) + Integer.parseInt(l.get(3));
-      lastPoll = time;
-    } catch (Exception e) {
-      e.printStackTrace();
-    } finally {
-      if (p != null) {
-        p.destroy();
-      }
-    }
-  }
-
-  public boolean systemIsSwapping() {
-    return (getSystemSwapsPerSec() > MAX_SWAPS);
-  }
-
-  @Override
-  public String toString() {
-    StringBuilder sb = new StringBuilder();
-    sb.append("lastPoll:").append(lastPoll);
-    sb.append(" pollEvery:").append(pollEvery);
-    sb.append(" freeMem:").append(freeMem);
-    sb.append(" usedSwap:").append(usedSwap);
-    sb.append(" swaps:").append(swaps);
-    sb.append(" maxAvailable:").append(getMaxAvailableMemory(false));
-    sb.append(" used:").append(getUsedMemory(false));
-    return sb.toString();
-  }
-
-  /**
-   * This class offers a simple way to track the peak memory used by a program.
-   * Simply launch a <code>PeakMemoryMonitor</code> as
-   *
-   * <blockquote><code>
-   * Thread monitor = new Thread(new PeakMemoryMonitor());<br />
-   * monitor.start()
-   * </code></blockquote>
-   *
-   * and then when you want to stop monitoring, call
-   *
-   * <blockquote><code>
-   * monitor.interrupt();
-   * monitor.join();
-   * </code></blockquote>
-   *
-   * You only need the last line if you want to be sure the monitor stops before
-   * you move on in the code; and strictly speaking, you should surround the
-   * <code>monitor.join()</code> call with a <code>try/catch</code> block, as
-   * the <code>Thread</code> you are running could itself be interrupted, so you
-   * should actually have something like
-   *
-   * <blockquote><code>
-   * monitor.interrupt();
-   * try {
-   *   monitor.join();
-   * } catch (InterruptedException ex) {
-   *   // handle the exception
-   * }
-   * </code></blockquote>
-   *
-   * or else throw the exception.
-   *
-   * @author ilya
-   */
-  public static class PeakMemoryMonitor implements Runnable {
-    private static final float GIGABYTE = 1 << 30;
-    private static final int DEFAULT_POLL_FREQUENCY = 1000; /* 1 second */
-    private static final int DEFAULT_LOG_FREQUENCY = 60000; /* 1 minute */
-    private int pollFrequency;
-    private int logFrequency;
-    private Timing timer;
-    private PrintStream outstream;
-    private long peak = 0;
-
-    public PeakMemoryMonitor() {
-      this(DEFAULT_POLL_FREQUENCY, DEFAULT_LOG_FREQUENCY);
-    }
-
-    /**
-     * @param pollFrequency frequency, in milliseconds, with which to poll
-     * @param logFrequency frequency, in milliseconds, with which to log maximum memory
-     *          used so far
-     */
-    public PeakMemoryMonitor(int pollFrequency, int logFrequency) {
-      this(pollFrequency, logFrequency, System.err);
-    }
-
-    public PeakMemoryMonitor(int pollFrequency, int logFrequency,
-                             PrintStream out) {
-      this.pollFrequency = pollFrequency;
-      this.logFrequency = logFrequency;
-      this.outstream = out;
-      this.timer = new Timing();
-    }
-
-    public void run() {
-      Runtime runtime = Runtime.getRuntime();
-      timer.start();
-
-      while (true) {
-        peak = Math.max(peak, runtime.totalMemory() - runtime.freeMemory());
-        if (timer.report() > logFrequency) {
-          log();
-          timer.restart();
-        }
-
-        try {
-          Thread.sleep(pollFrequency);
-        } catch (InterruptedException e) {
-          log();
-          break;
-        }
-      }
-    }
-
-    public void log() {
-      outstream.println(String.format("Maximum memory used: %.1f GB", peak / GIGABYTE));
-    }
-  }
-
-  public static void main(String[] args) throws InterruptedException {
-    Thread pmm = new Thread(new PeakMemoryMonitor());
-    pmm.start();
-
-    long time = System.currentTimeMillis();
-    MemoryMonitor mm = new MemoryMonitor();
-    long time2 = System.currentTimeMillis();
-    System.out.println("Created MemoryMonitor.  Took " + (time2 - time)
-                       + " milliseconds.");
-    System.out.println(mm);
-
-    time = System.currentTimeMillis();
-    mm.pollVMstat(true);
-    time2 = System.currentTimeMillis();
-    System.out.println("Second Poll.  Took " + (time2 - time)
-                       + " milliseconds.");
-    System.out.println(mm);
-
-    pmm.interrupt();
-    pmm.join();
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MetaClass.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MetaClass.java
deleted file mode 100644
index ea2af63..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MetaClass.java
+++ /dev/null
@@ -1,621 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.lang.reflect.Array;
-import java.lang.reflect.Constructor;
-import java.lang.reflect.ParameterizedType;
-import java.lang.reflect.Type;
-import java.lang.reflect.TypeVariable;
-import java.lang.reflect.WildcardType;
-import java.util.Date;
-import java.util.LinkedList;
-import java.util.List;
-
-/**
-  A meta class using Java's reflection library. Can be used to create a single
-  instance, or a factory, where each Class from the factory share their
-  constructor parameters.
-  @author Gabor Angeli
-*/
-public class MetaClass {
-
-  public static class ClassCreationException extends RuntimeException {
-    private static final long serialVersionUID = -5980065992461870357L;
-
-    private ClassCreationException() {
-      super();
-    }
-
-    private ClassCreationException(String msg) {
-      super(msg);
-    }
-
-    private ClassCreationException(Throwable cause) {
-      super(cause);
-    }
-  }
-  
-  public static final class ConstructorNotFoundException extends ClassCreationException {
-    private static final long serialVersionUID = -5980065992461870357L;
-
-    private ConstructorNotFoundException() {
-      super();
-    }
-
-    private ConstructorNotFoundException(String msg) {
-      super(msg);
-    }
-
-    private ConstructorNotFoundException(Throwable cause) {
-      super(cause);
-    }
-  }
-
-  public static final class ClassFactory<T> {
-    private Class<?>[] classParams;
-    private Class<T> cl;
-    private Constructor<T> constructor;
-
-    private boolean samePrimitive(Class<?> a, Class<?> b){
-      if(!a.isPrimitive() && !b.isPrimitive()) return false;
-      if(a.isPrimitive()){
-        try {
-          Class<?> type = (Class<?>) b.getField("TYPE").get(null);
-          return type.equals(a);
-        } catch (Exception e) {
-          return false;
-        }
-      }
-      if(b.isPrimitive()){
-        try {
-          Class<?> type = (Class<?>) a.getField("TYPE").get(null);
-          return type.equals(b);
-        } catch (Exception e) {
-          return false;
-        }
-      }
-      throw new IllegalStateException("Impossible case");
-    }
-    
-    private int superDistance(Class<?> candidate, Class<?> target) {
-      if (candidate == null) {
-        // --base case: does not implement
-        return Integer.MIN_VALUE;
-      } else if (candidate.equals(target)) {
-        // --base case: exact match
-        return 0;
-      } else if(samePrimitive(candidate, target)){
-        // --base case: primitive and wrapper
-        return 0;
-      } else {
-        // --recursive case: try superclasses
-        // case: direct superclass
-        Class<?> directSuper = candidate.getSuperclass();
-        int superDist = superDistance(directSuper, target);
-        if (superDist >= 0)
-          return superDist + 1; // case: superclass distance
-        // case: implementing interfaces
-        Class<?>[] interfaces = candidate.getInterfaces();
-        int minDist = Integer.MAX_VALUE;
-        for (Class<?> i : interfaces) {
-          superDist = superDistance(i, target);
-          if (superDist >= 0) {
-            minDist = Math.min(minDist, superDist);
-          }
-        }
-        if (minDist != Integer.MAX_VALUE)
-          return minDist + 1; // case: interface distance
-        else
-          return -1; // case: failure
-      }
-    }
-
-    @SuppressWarnings("unchecked")
-    private void construct(String classname, Class<?>... params)
-        throws ClassNotFoundException, NoSuchMethodException {
-      // (save class parameters)
-      this.classParams = params;
-      // (create class)
-      try {
-        this.cl = (Class<T>) Class.forName(classname);
-      } catch (ClassCastException e) {
-        throw new ClassCreationException("Class " + classname
-            + " could not be cast to the correct type");
-      }
-      // --Find Constructor
-      // (get constructors)
-      Constructor<?>[] constructors = cl.getDeclaredConstructors();
-      Constructor<?>[] potentials = new Constructor<?>[constructors.length];
-      Class<?>[][] constructorParams = new Class<?>[constructors.length][];
-      int[] distances = new int[constructors.length]; //distance from base class
-      // (filter: length)
-      for (int i = 0; i < constructors.length; i++) {
-        constructorParams[i] = constructors[i].getParameterTypes();
-        if (params.length == constructorParams[i].length) { // length is good
-          potentials[i] = constructors[i];
-          distances[i] = 0;
-        } else { // length is bad
-          potentials[i] = null;
-          distances[i] = -1;
-        }
-      }
-      // (filter:type)
-      for (int paramIndex = 0; paramIndex < params.length; paramIndex++) { // for
-                                          // each
-                                          // parameter...
-        Class<?> target = params[paramIndex];
-        for (int conIndex = 0; conIndex < potentials.length; conIndex++) { // for
-                                          // each
-                                          // constructor...
-          if (potentials[conIndex] != null) { // if the constructor is
-                            // in the pool...
-            Class<?> cand = constructorParams[conIndex][paramIndex];
-            int dist = superDistance(target, cand);
-            if (dist >= 0) { // and if the constructor matches...
-              distances[conIndex] += dist; // keep it
-            } else {
-              potentials[conIndex] = null; // else, remove it from
-                              // the pool
-              distances[conIndex] = -1;
-            }
-          }
-        }
-      }
-      // (filter:min)
-      this.constructor = (Constructor<T>) argmin(potentials, distances, 0);
-      if (this.constructor == null) {
-        StringBuilder b = new StringBuilder();
-        b.append(classname).append("(");
-        for (Class<?> c : params) {
-          b.append(c.getName()).append(", ");
-        }
-        String target = b.substring(0, params.length==0 ? b.length() : b.length() - 2) + ")";
-        throw new ConstructorNotFoundException(
-            "No constructor found to match: " + target);
-      }
-    }
-
-    private ClassFactory(String classname, Class<?>... params)
-        throws ClassNotFoundException, NoSuchMethodException {
-      // (generic construct)
-      construct(classname, params);
-    }
-
-    private ClassFactory(String classname, Object... params)
-        throws ClassNotFoundException, NoSuchMethodException {
-      // (convert class parameters)
-      Class<?>[] classParams = new Class[params.length];
-      for (int i = 0; i < params.length; i++) {
-        if(params[i] == null) throw new ClassCreationException("Argument " + i + " to class constructor is null");
-        classParams[i] = params[i].getClass();
-      }
-      // (generic construct)
-      construct(classname, classParams);
-    }
-
-    private ClassFactory(String classname, String... params)
-        throws ClassNotFoundException, NoSuchMethodException {
-      // (convert class parameters)
-      Class<?>[] classParams = new Class[params.length];
-      for (int i = 0; i < params.length; i++) {
-        classParams[i] = Class.forName(params[i]);
-      }
-      // (generic construct)
-      construct(classname, classParams);
-    }
-
-    /**
-     * Creates an instance of the class produced in this factory
-     * 
-     * @param params
-     *            The arguments to the constructor of the class NOTE: the
-     *            resulting instance will [unlike java] invoke the most
-     *            narrow constructor rather than the one which matches the
-     *            signature passed to this function
-     * @return An instance of the class
-     */
-    public T createInstance(Object... params) {
-      try {
-        boolean accessible = true;
-        if(!constructor.isAccessible()){
-          accessible = false;
-          constructor.setAccessible(true);
-        }
-        T rtn = constructor.newInstance(params);
-        if(!accessible){ constructor.setAccessible(false); }
-        return rtn;
-      } catch (Exception e) {
-        throw new ClassCreationException(e);
-      }
-    }
-
-    /**
-     * Returns the full class name for the objects being produced
-     * 
-     * @return The class name for the objects produced
-     */
-    public String getName() {
-      return cl.getName();
-    }
-
-    @Override
-    public String toString() {
-      StringBuilder b = new StringBuilder();
-      b.append(cl.getName()).append("(");
-      for (Class<?> cl : classParams) {
-        b.append(" ").append(cl.getName()).append(",");
-      }
-      b.replace(b.length() - 1, b.length(), " ");
-      b.append(")");
-      return b.toString();
-    }
-
-    @SuppressWarnings("unchecked")
-    @Override
-    public boolean equals(Object o) {
-      if (o instanceof ClassFactory) {
-        ClassFactory other = (ClassFactory) o;
-        if (!this.cl.equals(other.cl))
-          return false;
-        for (int i = 0; i < classParams.length; i++) {
-          if (!this.classParams[i].equals(other.classParams[i]))
-            return false;
-        }
-        return true;
-      } else {
-        return false;
-      }
-    }
-
-    @Override
-    public int hashCode() {
-      return cl.hashCode();
-    }
-  }
-
-  private String classname;
-
-  /**
-   * Creates a new MetaClass producing objects of the given type
-   * 
-   * @param classname
-   *            The full classname of the objects to create
-   */
-  public MetaClass(String classname) {
-    this.classname = classname;
-  }
-  
-  /**
-   * Creates a new MetaClass producing objects of the given type
-   * 
-   * @param classname
-   *            The class to create
-   */
-  public MetaClass(Class<?> classname) {
-    this.classname = classname.getName();
-  }
-
-  /**
-   * Creates a factory for producing instances of this class from a
-   * constructor taking the given types as arguments
-   * 
-   * @param <E>
-   *            The type of the objects to be produced
-   * @param classes
-   *            The types used in the constructor
-   * @return A ClassFactory of the given type
-   */
-  public <E> ClassFactory<E> createFactory(Class<?>... classes) {
-    try {
-      return new ClassFactory<E>(classname, classes);
-    } catch (ClassCreationException e){
-      throw e;
-    } catch (Exception e) {
-      throw new ClassCreationException(e);
-    }
-  }
-
-  /**
-   * Creates a factory for producing instances of this class from a
-   * constructor taking the given types as arguments
-   * 
-   * @param <E>
-   *            The type of the objects to be produced
-   * @param classes
-   *            The types used in the constructor
-   * @return A ClassFactory of the given type
-   */
-  public <E> ClassFactory<E> createFactory(String... classes) {
-    try {
-      return new ClassFactory<E>(classname, classes);
-    } catch (ClassCreationException e){
-      throw e;
-    } catch (Exception e) {
-      throw new ClassCreationException(e);
-    }
-  }
-
-  /**
-   * Creates a factory for producing instances of this class from a
-   * constructor taking objects of the types given
-   * 
-   * @param <E>
-   *            The type of the objects to be produced
-   * @param objects
-   *            Instances of the types used in the constructor
-   * @return A ClassFactory of the given type
-   */
-  public <E> ClassFactory<E> createFactory(Object... objects) {
-    try {
-      return new ClassFactory<E>(classname, objects);
-    } catch (ClassCreationException e){
-      throw e;
-    } catch (Exception e) {
-      throw new ClassCreationException(e);
-    }
-  }
-
-  /**
-   * Create an instance of the class, inferring the type automatically, and
-   * given an array of objects as constructor parameters NOTE: the resulting
-   * instance will [unlike java] invoke the most narrow constructor rather
-   * than the one which matches the signature passed to this function
-   * 
-   * @param <E>
-   *            The type of the object returned
-   * @param objects
-   *            The arguments to the constructor of the class
-   * @return An instance of the class
-   */
-  public <E> E createInstance(Object... objects) {
-    ClassFactory<E> fact = createFactory(objects);
-    return fact.createInstance(objects);
-  }
-
-  /**
-   * Creates an instance of the class, forcing a cast to a certain type and
-   * given an array of objects as constructor parameters NOTE: the resulting
-   * instance will [unlike java] invoke the most narrow constructor rather
-   * than the one which matches the signature passed to this function
-   * 
-   * @param <E>
-   *            The type of the object returned
-   * @param type
-   *            The class of the object returned
-   * @param params
-   *            The arguments to the constructor of the class
-   * @return An instance of the class
-   */
-  @SuppressWarnings("unchecked")
-  public <E,F extends E> F createInstance(Class<E> type, Object... params) {
-    Object obj = createInstance(params);
-    if (type.isInstance(obj)) {
-      return (F) obj;
-    } else {
-      throw new ClassCreationException("Cannot cast " + classname
-          + " into " + type.getName());
-    }
-  }
-  
-  public boolean checkConstructor(Object... params){
-    try{
-      createInstance(params);
-      return true;
-    } catch(ConstructorNotFoundException e){
-      return false;
-    }
-  }
-
-  @Override
-  public String toString() {
-    return classname;
-  }
-
-  @Override
-  public boolean equals(Object o) {
-    if (o instanceof MetaClass) {
-      return ((MetaClass) o).classname.equals(this.classname);
-    }
-    return false;
-  }
-
-  @Override
-  public int hashCode() {
-    return classname.hashCode();
-  }
-
-  /**
-   * Creates a new MetaClass (helper method)
-   * 
-   * @param classname
-   *            The name of the class to create
-   * @return A new MetaClass object of the given class
-   */
-  public static MetaClass create(String classname) {
-    return new MetaClass(classname);
-  }
-  
-  /**
-   * Creates a new MetaClass (helper method)
-   * 
-   * @param clazz
-   *            The class to create
-   * @return A new MetaClass object of the given class
-   */
-  public static MetaClass create(Class <?> clazz) {
-    return new MetaClass(clazz);
-  }
-  
-  /**
-   * Utility method for cast
-   * @param type The type to cast into a class
-   * @return The class corresponding to the passed in type
-   */
-  private static Class <?> type2class(Type type){
-		if(type instanceof Class <?>){
-			return (Class <?>) type;	//base case
-		}else if(type instanceof ParameterizedType){
-			return type2class( ((ParameterizedType) type).getRawType() );
-		}else if(type instanceof TypeVariable<?>){
-			return type2class( ((TypeVariable<?>) type).getBounds()[0] );
-		}else if(type instanceof WildcardType){
-			return type2class( ((WildcardType) type).getUpperBounds()[0] );
-		}else{
-			throw new IllegalArgumentException("Cannot convert type to class: " + type);
-		}
-	}
-  /**
-   * Decode an array encoded as a String. This entails a comma separated value enclosed in brackets
-   * or parentheses
-   * @param encoded The String encoded array
-   * @return A String array corresponding to the encoded array
-   */
-	private static final String[] decodeArray(String encoded){
-		char[] chars = encoded.trim().toCharArray();
-
-		//--Parse the String
-		//(state)
-		char quoteCloseChar = (char) 0;
-		List<StringBuilder> terms = new LinkedList<StringBuilder>();
-		StringBuilder current = new StringBuilder();
-		//(start/stop overhead)
-		int start = 0; int end = chars.length;
-		if(chars[0] == '('){ start += 1; end -= 1; if(chars[end] != ')') throw new IllegalArgumentException("Unclosed paren in encoded array: " + encoded); }
-		if(chars[0] == '['){ start += 1; end -= 1; if(chars[end] != ']') throw new IllegalArgumentException("Unclosed bracket in encoded array: " + encoded); }
-		//(finite state automata)
-		for(int i=start; i<end; i++){
-			if(chars[i] == '\\'){
-				//(case: escaped character)
-				if(i == chars.length - 1) throw new IllegalArgumentException("Last character of encoded pair is escape character: " + encoded);
-				current.append(chars[i+1]);
-				i += 1;
-			} else if(quoteCloseChar != 0){
-				//(case: in quotes)
-				if(chars[i] == quoteCloseChar){
-					quoteCloseChar = (char) 0;
-				}else{
-					current.append(chars[i]);
-				}
-			}else{
-				//(case: normal)
-				if(chars[i] == '"'){ quoteCloseChar = '"';
-				} else if(chars[i] == '\''){ quoteCloseChar = '\'';
-				} else if(chars[i] == ','){
-					//break
-					terms.add(current);
-					current = new StringBuilder();
-				}else{
-					current.append(chars[i]);
-				}
-			}
-		}
-		
-		//--Return
-		if(current.length() > 0) terms.add(current);
-		String[] rtn = new String[terms.size()];
-		int i=0;
-		for(StringBuilder b : terms){
-			rtn[i] = b.toString().trim();
-			i += 1;
-		}
-		return rtn;
-	}
-  
-  /**
-   * Cast a String representation of an object into that object.
-   * E.g. "5.4" will be cast to a Double; "[1,2,3]" will be cast
-   * to an Integer[].
-   * 
-   * NOTE: Date parses from a Long
-   * 
-   * @param <E> The type of the object returned (same as type)
-   * @param value The string representation of the object
-   * @param type The type (usually class) to be returned (same as E)
-   * @return An object corresponding to the String value passed
-   */
-	@SuppressWarnings( "unchecked" )
-	public static final <E> E cast(String value, Type type){
-		//--Get Type
-		Class <?> clazz = null;
-		if(type instanceof Class){
-			clazz = (Class <?>) type;
-		}else if(type instanceof ParameterizedType){
-			ParameterizedType pt = (ParameterizedType) type;
-			clazz = (Class <?>) pt.getRawType();
-		}else{
-			clazz = type2class(type);
-			throw new IllegalArgumentException("Cannot cast to type (unhandled type): " + type);
-		}
-		//--Cast
-		if(clazz.isAssignableFrom(String.class)){
-			// (case: String)
-			return (E) value;
-		}else if(Boolean.class.isAssignableFrom(clazz) || boolean.class.isAssignableFrom(clazz)){
-			//(case: boolean)
-			if(value.equals("1")){ return (E) new Boolean(true); }
-			return (E) new Boolean( Boolean.parseBoolean(value) );
-		}else if(Integer.class.isAssignableFrom(clazz) || int.class.isAssignableFrom(clazz)){
-			//(case: integer)
-			return (E) new Integer(Integer.parseInt(value));
-		}else if(Long.class.isAssignableFrom(clazz) || long.class.isAssignableFrom(clazz)){
-			//(case: long)
-			return (E) new Long(Long.parseLong(value));
-		}else if(Float.class.isAssignableFrom(clazz) || float.class.isAssignableFrom(clazz)){
-			//(case: float)
-			if(value == null){ return (E) new Float(Float.NaN); }
-			return (E) new Float(Float.parseFloat(value));
-		}else if(Double.class.isAssignableFrom(clazz) || double.class.isAssignableFrom(clazz)){
-			//(case: double)
-			if(value == null){ return (E) new Double(Double.NaN); }
-			return (E) new Double(Double.parseDouble(value));
-		}else if(Short.class.isAssignableFrom(clazz) || short.class.isAssignableFrom(clazz)){
-			//(case: short)
-			return (E) new Short(Short.parseShort(value));
-		}else if(Byte.class.isAssignableFrom(clazz) || byte.class.isAssignableFrom(clazz)){
-			//(case: byte)
-			return (E) new Byte(Byte.parseByte(value));
-		}else if(Character.class.isAssignableFrom(clazz) || char.class.isAssignableFrom(clazz)){
-			//(case: char)
-			return (E) new Character((char) Integer.parseInt(value));
-		}else if(java.util.Date.class.isAssignableFrom(clazz)){
-			//(case: date)
-			try {
-				return (E) new Date(Long.parseLong(value));
-			} catch (NumberFormatException e) {
-				return null;
-			}
-		}else if(clazz.isArray()){
-			if(value == null){ return null; }
-			Class <?> subType = clazz.getComponentType();
-			// (case: array)
-			String[] strings = decodeArray(value);
-			Object[] array = (Object[]) Array.newInstance(clazz.getComponentType(), strings.length);
-			for(int i=0; i<strings.length; i++){
-				array[i] = cast(strings[i], subType);
-			}
-			return (E) array;
-		} else if(clazz.isEnum()){
-			// (case: enumeration)
-			Class c = (Class) clazz;
-			if(value == null){ return null; }
-			return (E) Enum.valueOf(c, value);
-		} else {
-			return null;
-		}
-	}
-
-  private static final <E> E argmin(E[] elems, int[] scores, int atLeast){
-    int argmin = argmin(scores, atLeast);
-    return argmin >= 0 ? elems[argmin] : null;
-  }
-  private static final int argmin(int[] scores, int atLeast){
-    int min = Integer.MAX_VALUE;
-    int argmin = -1;
-    for(int i=0; i<scores.length; i++){
-      if(scores[i] < min && scores[i] >= atLeast){
-        min = scores[i];
-        argmin = i;
-      }
-    }
-    return argmin;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MutableDouble.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MutableDouble.java
deleted file mode 100644
index 4ca0a91..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MutableDouble.java
+++ /dev/null
@@ -1,110 +0,0 @@
-package edu.stanford.nlp.util;
-
-/**
- * A class for Double objects that you can change.
- *
- * @author Dan Klein
- */
-public final class MutableDouble extends Number implements Comparable<MutableDouble> {
-
-  private double d;
-
-  // Mutable
-  public void set(double d) {
-    this.d = d;
-  }
-
-  @Override
-  public int hashCode() {
-    long bits = Double.doubleToLongBits(d);
-    return (int) (bits ^ (bits >>> 32));
-  }
-
-  /**
-   * Compares this object to the specified object.  The result is
-   * <code>true</code> if and only if the argument is not
-   * <code>null</code> and is an <code>MutableDouble</code> object that
-   * contains the same <code>double</code> value as this object.
-   * Note that a MutableDouble isn't and can't be equal to an Double.
-   *
-   * @param obj the object to compare with.
-   * @return <code>true</code> if the objects are the same;
-   *         <code>false</code> otherwise.
-   */
-  @Override
-  public boolean equals(Object obj) {
-    return obj instanceof MutableDouble && d == ((MutableDouble) obj).d;
-  }
-
-  @Override
-  public String toString() {
-    return Double.toString(d);
-  }
-
-  // Comparable interface
-
-  /**
-   * Compares two <code>MutableDouble</code> objects numerically.
-   *
-   * @param anotherMutableDouble the <code>MutableDouble</code> to be
-   *                             compared.
-   * @return Tthe value <code>0</code> if this <code>MutableDouble</code> is
-   *         equal to the argument <code>MutableDouble</code>; a value less than
-   *         <code>0</code> if this <code>MutableDouble</code> is numerically less
-   *         than the argument <code>MutableDouble</code>; and a value greater
-   *         than <code>0</code> if this <code>MutableDouble</code> is numerically
-   *         greater than the argument <code>MutableDouble</code> (signed
-   *         comparison).
-   */
-  public int compareTo(MutableDouble anotherMutableDouble) {
-    double thisVal = this.d;
-    double anotherVal = anotherMutableDouble.d;
-    return (thisVal < anotherVal ? -1 : (thisVal == anotherVal ? 0 : 1));
-  }
-
-  // Number interface
-  @Override
-  public int intValue() {
-    return (int) d;
-  }
-
-  @Override
-  public long longValue() {
-    return (long) d;
-  }
-
-  @Override
-  public short shortValue() {
-    return (short) d;
-  }
-
-  @Override
-  public byte byteValue() {
-    return (byte) d;
-  }
-
-  @Override
-  public float floatValue() {
-    return (float) d;
-  }
-
-  @Override
-  public double doubleValue() {
-    return d;
-  }
-
-  public MutableDouble() {
-    this(0.0);
-  }
-
-  public MutableDouble(double d) {
-    this.d = d;
-  }
-
-  public MutableDouble(Number num) {
-    this.d = num.doubleValue();
-  }
-
-  private static final long serialVersionUID = 624465615824626762L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MutableInteger.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MutableInteger.java
deleted file mode 100644
index a0e2e08..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/MutableInteger.java
+++ /dev/null
@@ -1,116 +0,0 @@
-package edu.stanford.nlp.util;
-
-/**
- * A class for Integer objects that you can change.
- *
- * @author Dan Klein
- */
-public final class MutableInteger extends Number implements Comparable<MutableInteger> {
-
-  private int i;
-
-  // Mutable
-  public void set(int i) {
-    this.i = i;
-  }
-
-  @Override
-  public int hashCode() {
-    return i;
-  }
-
-  /**
-   * Compares this object to the specified object.  The result is
-   * <code>true</code> if and only if the argument is not
-   * <code>null</code> and is an <code>MutableInteger</code> object that
-   * contains the same <code>int</code> value as this object.
-   * Note that a MutableInteger isn't and can't be equal to an Integer.
-   *
-   * @param obj the object to compare with.
-   * @return <code>true</code> if the objects are the same;
-   *         <code>false</code> otherwise.
-   */
-  @Override
-  public boolean equals(Object obj) {
-    if (obj instanceof MutableInteger) {
-      return i == ((MutableInteger) obj).i;
-    }
-    return false;
-  }
-
-  @Override
-  public String toString() {
-    return Integer.toString(i);
-  }
-
-  // Comparable interface
-
-  /**
-   * Compares two <code>MutableInteger</code> objects numerically.
-   *
-   * @param anotherMutableInteger the <code>MutableInteger</code> to be
-   *                              compared.
-   * @return Tthe value <code>0</code> if this <code>MutableInteger</code> is
-   *         equal to the argument <code>MutableInteger</code>; a value less than
-   *         <code>0</code> if this <code>MutableInteger</code> is numerically less
-   *         than the argument <code>MutableInteger</code>; and a value greater
-   *         than <code>0</code> if this <code>MutableInteger</code> is numerically
-   *         greater than the argument <code>MutableInteger</code> (signed
-   *         comparison).
-   */
-  public int compareTo(MutableInteger anotherMutableInteger) {
-    int thisVal = this.i;
-    int anotherVal = anotherMutableInteger.i;
-    return (thisVal < anotherVal ? -1 : (thisVal == anotherVal ? 0 : 1));
-  }
-
-
-  // Number interface
-  @Override
-  public int intValue() {
-    return i;
-  }
-
-  @Override
-  public long longValue() {
-    return i;
-  }
-
-  @Override
-  public short shortValue() {
-    return (short) i;
-  }
-
-  @Override
-  public byte byteValue() {
-    return (byte) i;
-  }
-
-  @Override
-  public float floatValue() {
-    return i;
-  }
-
-  @Override
-  public double doubleValue() {
-    return i;
-  }
-
-  /** Add the argument to the value of this integer.  A convenience method.
-   *
-   * @param val Value to be added to this integer
-   */
-  public void incValue(int val) {
-    i += val;
-  }
-
-  public MutableInteger() {
-    this(0);
-  }
-
-  public MutableInteger(int i) {
-    this.i = i;
-  }
-
-  private static final long serialVersionUID = 624465615824626762L;
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/PaddedList.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/PaddedList.java
deleted file mode 100644
index 6f30783..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/PaddedList.java
+++ /dev/null
@@ -1,87 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.AbstractList;
-import java.util.List;
-import java.io.Serializable;
-
-/**
- * A PaddedList wraps another list, presenting an apparently infinite
- * list by padding outside the real confines of the list with a default
- * value.  Note that <code>size()</code> returns the true size, but
- * <code>get()</code> works for any number.
- *
- * @author Christopher Manning
- */
-public class PaddedList<E> extends AbstractList<E> implements Serializable {
-
-  private final List<E> l;
-  private final E padding;
-
-  public E getPad() {
-    return padding;
-  }
-
-  @Override
-  public int size() {
-    return l.size();
-  }
-
-  @Override
-  public E get(int i) {
-    if (i < 0 || i >= size()) {
-      return padding;
-    }
-    return l.get(i);
-  }
-
-  @Override
-  public String toString() {
-    return l.toString();
-  }
-
-  /** With this constructor, get() will return <code>null</code> for
-   *  elements outside the real list.
-   */
-  public PaddedList(List<E> l) {
-    this(l, null);
-  }
-
-  public PaddedList(List<E> l, E padding) {
-    this.l = l;
-    this.padding = padding;
-  }
-
-  /** This returns the inner list that was wrapped.
-   *  Use of this method should be avoided.  There's currently only
-   *  one use.
-   *
-   *  @return The inner list of the PaddedList.
-   */
-  @Deprecated
-  public List<E> getWrappedList() {
-    return l;
-  }
-
-  /** A static method that provides an easy way to create a list of a
-   *  certain parametric type.
-   *  This static constructor works better with generics.
-   *
-   *  @param list The list to pad
-   *  @param padding The padding element (may be null)
-   *  @return The padded list
-   */
-  public static <IN> PaddedList<IN> valueOf(List<IN> list, IN padding) {
-    return new PaddedList<IN>(list, padding);
-  }
-
-  /** Returns true if this PaddedList and another are wrapping the
-   *  same list.  This is tested as ==. Kinda yucky, but sometimes you
-   *  want to know.
-   */
-  public boolean sameInnerList(PaddedList<E> p) {
-    return p != null && l == p.l;
-  }
-
-  private static final long serialVersionUID = 2064775966439971729L;
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Pair.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Pair.java
deleted file mode 100644
index 85f3d36..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Pair.java
+++ /dev/null
@@ -1,228 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.DataInputStream;
-import java.io.DataOutputStream;
-import java.io.Serializable;
-
-/**
- * Pair is a Class for holding mutable pairs of objects.
- * 
- * <i>Implementation note:</i>
- * on a 32-bit JVM uses ~ 8 (this) + 4 (first) + 4 (second) = 16 bytes.
- * on a 64-bit JVM uses ~ 16 (this) + 8 (first) + 8 (second) = 32 bytes.
- * 
- * Many applications use a lot of Pairs so it's good to keep this
- * number small.
- *
- * @author Dan Klein
- * @author Christopher Manning (added stuff from Kristina's, rounded out)
- * @version 2002/08/25
- */
-
-public class Pair <T1,T2> implements Comparable<Pair<T1,T2>>, Serializable {
-
-  /**
-   * Direct access is deprecated.  Use first().
-   *
-   * @serial
-   */
-  public T1 first;
-
-  /**
-   * Direct access is deprecated.  Use second().
-   *
-   * @serial
-   */
-  public T2 second;
-
-  public Pair() {
-    // first = null; second = null; -- default initialization
-  }
-
-  public Pair(T1 first, T2 second) {
-    this.first = first;
-    this.second = second;
-  }
-
-  public T1 first() {
-    return first;
-  }
-
-  public T2 second() {
-    return second;
-  }
-
-  public void setFirst(T1 o) {
-    first = o;
-  }
-
-  public void setSecond(T2 o) {
-    second = o;
-  }
-
-  @Override
-  public String toString() {
-    return "(" + first + "," + second + ")";
-  }
-
-  @Override
-  public boolean equals(Object o) {
-    if (o instanceof Pair) {
-      @SuppressWarnings("rawtypes")
-      Pair p = (Pair) o;
-      return (first == null ? p.first() == null : first.equals(p.first())) && (second == null ? p.second() == null : second.equals(p.second()));
-    } else {
-      return false;
-    }
-  }
-
-  @Override
-  public int hashCode() {
-    int firstHash  = (first == null ? 0 : first.hashCode());
-    int secondHash = (second == null ? 0 : second.hashCode());
-        
-    return firstHash*31 + secondHash;          
-  }
-
-  /**
-   * Read a string representation of a Pair from a DataStream.
-   * This might not work correctly unless the pair of objects are of type
-   * <code>String</code>.
-   */
-  public static Pair<String, String> readStringPair(DataInputStream in) {
-    Pair<String, String> p = new Pair<String, String>();
-    try {
-      p.first = in.readUTF();
-      p.second = in.readUTF();
-    } catch (Exception e) {
-      e.printStackTrace();
-    }
-    return p;
-  }
-
-  /**
-   * Returns a Pair constructed from X and Y.  Convenience method; the
-   * compiler will disambiguate the classes used for you so that you
-   * don't have to write out potentially long class names.
-   */
-  public static <X, Y> Pair<X, Y> makePair(X x, Y y) {
-    return new Pair<X, Y>(x, y);
-  }
-
-  /**
-   * Write a string representation of a Pair to a DataStream.
-   * The <code>toString()</code> method is called on each of the pair
-   * of objects and a <code>String</code> representation is written.
-   * This might not allow one to recover the pair of objects unless they
-   * are of type <code>String</code>.
-   */
-  public void save(DataOutputStream out) {
-    try {
-      out.writeUTF(first.toString());
-      out.writeUTF(second.toString());
-    } catch (Exception e) {
-      e.printStackTrace();
-    }
-  }
-
-  /**
-   * Compares this <code>Pair</code> to another object.
-   * If the object is a <code>Pair</code>, this function will work providing
-   * the elements of the <code>Pair</code> are themselves comparable.
-   * It will then return a value based on the pair of objects, where
-   * <code>p &gt; q iff p.first() &gt; q.first() ||
-   * (p.first().equals(q.first()) && p.second() &gt; q.second())</code>.
-   * If the other object is not a <code>Pair</code>, it throws a
-   * <code>ClassCastException</code>.
-   *
-   * @param another the <code>Object</code> to be compared.
-   * @return the value <code>0</code> if the argument is a
-   *         <code>Pair</code> equal to this <code>Pair</code>; a value less than
-   *         <code>0</code> if the argument is a <code>Pair</code>
-   *         greater than this <code>Pair</code>; and a value
-   *         greater than <code>0</code> if the argument is a
-   *         <code>Pair</code> less than this <code>Pair</code>.
-   * @throws ClassCastException if the argument is not a
-   *                            <code>Pair</code>.
-   * @see java.lang.Comparable
-   */
-  @SuppressWarnings("unchecked")
-  public int compareTo(Pair<T1,T2> another) {
-    int comp = ((Comparable<T1>) first()).compareTo(another.first());
-    if (comp != 0) {
-      return comp;
-    } else {
-      return ((Comparable<T2>) second()).compareTo(another.second());
-    }
-  }
-
-  /**
-   * If first and second are Strings, then this returns an MutableInternedPair
-   * where the Strings have been interned, and if this Pair is serialized
-   * and then deserialized, first and second are interned upon
-   * deserialization.
-   *
-   * @param p A pair of Strings
-   * @return MutableInternedPair, with same first and second as this.
-   */
-  public static Pair<String, String> stringIntern(Pair<String, String> p) {
-    return new MutableInternedPair(p);
-  }
-
-  /**
-   * Returns an MutableInternedPair where the Strings have been interned.
-   * This is a factory method for creating an
-   * MutableInternedPair.  It requires the arguments to be Strings.
-   * If this Pair is serialized
-   * and then deserialized, first and second are interned upon
-   * deserialization.
-   * <p><i>Note:</i> I put this in thinking that its use might be
-   * faster than calling <code>x = new Pair(a, b).stringIntern()</code>
-   * but it's not really clear whether this is true.
-   *
-   * @param first  The first object
-   * @param second The second object
-   * @return An MutableInternedPair, with given first and second
-   */
-  public static Pair<String, String> internedStringPair(String first, String second) {
-    return new MutableInternedPair(first, second);
-  }
-
-
-  /**
-   * use serialVersionUID for cross version serialization compatibility
-   */
-  private static final long serialVersionUID = 1360822168806852921L;
-
-
-  static class MutableInternedPair extends Pair<String, String> {
-
-    private MutableInternedPair(Pair<String, String> p) {
-      super(p.first, p.second);
-      internStrings();
-    }
-
-    private MutableInternedPair(String first, String second) {
-      super(first, second);
-      internStrings();
-    }
-
-    private Object readResolve() {
-      internStrings();
-      return this;
-    }
-
-    private void internStrings() {
-      if (first != null) {
-        first = first.intern();
-      }
-      if (second != null) {
-        second = second.intern();
-      }
-    }
-
-    // use serialVersionUID for cross version serialization compatibility
-    private static final long serialVersionUID = 1360822168806852922L;
-
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/PriorityQueue.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/PriorityQueue.java
deleted file mode 100644
index 907a7d9..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/PriorityQueue.java
+++ /dev/null
@@ -1,130 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.List;
-import java.util.Set;
-
-/**
- * A Set that also represents an ordering of its elements, and responds
- * quickly to <code>add()</code>, <code>changePriority()</code>,
- * <code>removeFirst()</code>, and <code>getFirst()</code> method calls. <p/>
- *
- * There are several important differences between this interface and
- * the JDK {@link java.util.PriorityQueue}: <p/>
- * <ol>
- * <li> This interface uses explicitly-assigned <code>double</code> values
- * as priorities for queue elements, while
- * <code>java.util.PriorityQueue</code> uses either the elements'
- * <i>natural order</i> (see {@link java.lang.Comparable}) or a {@link
- * java.util.Comparator}.</li>
- *
- * <li> In this interface, larger <code>double</code>s represent higher
- * priorities; in <code>java.util.PriorityQueue</code>, <i>lesser</i>
- * elements (with respect to the specified ordering) have higher
- * priorities.</li>
- *
- * <li> This interface enables you to <i>change</i> the priority of an
- * element <i>after</i> it has entered the queue.  With
- * <code>java.util.PriorityQueue</code>, that's not possible.</li>
- *
- * <li> However, there is a price to pay for this flexibility.  The primary
- * implementation of this interface, {@link
- * edu.stanford.nlp.util.BinaryHeapPriorityQueue}, is roughly 2x slower
- * than <code>java.util.PriorityQueue</code> in informal benchmark
- * testing.</li>
- *
- * <li> So, there's another implementation of this interface,
- * FixedPrioritiesPriorityQueue, which trades flexibility for speed: while
- * it is up to 2x faster than {@link BinaryHeapPriorityQueue} and nearly as
- * fast as {@link java.util.PriorityQueue}, it does not support removing or
- * changing the priority of an element.</li>
- * </ol>
- * <p>
- * On the other hand, this interface and {@link java.util.PriorityQueue}
- * also have some characteristics in common: <p/>
- * <ol>
- * <li> Both make no guarantee about the order in which elements with equal
- * priority are returned from the queue.  This does <i>not</i> mean that
- * equal elements are returned in <i>random</i> order.  (In fact they are
- * returned in an order which depends on the order of insertion &mdash; but
- * the implementations reserve the right to return them in any order
- * whatsoever.)</li>
- * </ol>
- *
- * @author Teg Grenager (grenager@cs.stanford.edu)
- * @author Bill MacCartney
- */
-public interface PriorityQueue<E> extends Set<E> {
-
-  /**
-   * Finds the object with the highest priority, removes it,
-   * and returns it.
-   *
-   * @return the object with highest priority
-   */
-  public E removeFirst();
-
-  /**
-   * Finds the object with the highest priority and returns it, without
-   * modifying the queue.
-   *
-   * @return the object with minimum key
-   */
-  public E getFirst();
-
-  /**
-   * Gets the priority of the highest-priority element of the queue
-   * (without modifying the queue).
-   *
-   * @return The priority of the highest-priority element of the queue.
-   */
-  public double getPriority();
-
-  /**
-   * Get the priority of a key.
-   *
-   * @param key The object to assess
-   * @return A key's priority. If the key is not in the queue,
-   *         Double.NEGATIVE_INFINITY is returned.
-   */
-  public double getPriority(E key);
-
-  /**
-   * Convenience method for if you want to pretend relaxPriority doesn't exist,
-   * or if you really want add's return conditions.
-   *
-   * @return <tt>true</tt> if this set did not already contain the specified
-   *         element.
-   */
-  public boolean add(E key, double priority);
-
-
-  /**
-   * Changes a priority, either up or down, adding the key it if it wasn't there already.
-   *
-   * @param key an <code>E</code> value
-   * @return whether the priority actually changed.
-   */
-  public boolean changePriority(E key, double priority);
-
-  /**
-   * Increases the priority of the E key to the new priority if the old priority
-   * was lower than the new priority. Otherwise, does nothing.
-   *
-   */
-  public boolean relaxPriority(E key, double priority);
-
-  public List<E> toSortedList();
-
-  /**
-   * Returns a representation of the queue in decreasing priority order,
-   * displaying at most maxKeysToPring elements.
-   *
-   * @param maxKeysToPrint The maximum number of keys to print. Less are
-   *     printed if there are less than this number of items in the
-   *     PriorityQueue. If this number is non-positive, then all elements in
-   *     the PriorityQueue are printed.
-   * @return A String representation of the high priority items in the queue.
-   */
-  public String toString(int maxKeysToPrint);
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ReflectionLoading.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ReflectionLoading.java
deleted file mode 100644
index faade8b..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ReflectionLoading.java
+++ /dev/null
@@ -1,52 +0,0 @@
-package edu.stanford.nlp.util;
-
-/**
- * The goal of this class is to make it easier to load stuff by
- * reflection.  You can hide all of the ugly exception catching, etc
- * by using the static methods in this class.
- *
- * @author John Bauer
- * @author Gabor Angeli (changed)
- */
-
-public class ReflectionLoading {
-  // static methods only
-  private ReflectionLoading() {}
-
-  /**
-   * You can use this as follows:
-   * <br>
-   *  String s = 
-   *    ReflectionLoading.loadByReflection("java.lang.String", "foo");
-   * <br>
-   *  String s =
-   *    ReflectionLoading.loadByReflection("java.lang.String");
-   * <br>
-   * Note that this uses generics for convenience, but this does
-   * nothing for compile-time error checking.  You can do
-   * <br>
-   *  Integer i = 
-   *    ReflectionLoading.loadByReflection("java.lang.String");
-   * <br>
-   * and it will compile just fine, but will result in a ClassCastException.
-   */
-   @SuppressWarnings("unchecked")
-  static public <T> T loadByReflection(String className, 
-                                       Object ... arguments) {    
-    try{
-      return (T) new MetaClass(className).createInstance(arguments);
-    } catch(Exception e){
-      throw new ReflectionLoadingException(e);
-    }
-  }
-
-  /**
-   * This class encapsulates all of the exceptions that can be thrown
-   * when loading something by reflection.
-   */
-  static public class ReflectionLoadingException extends RuntimeException {
-    public ReflectionLoadingException(Throwable reason) {
-      super(reason);
-    }
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Scored.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Scored.java
deleted file mode 100644
index e55160f..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Scored.java
+++ /dev/null
@@ -1,21 +0,0 @@
-package edu.stanford.nlp.util;
-
-/**
- * Scored: This is a simple interface that says that an object can answer
- * requests for the score, or goodness of the object.
- * <p>
- * JavaNLP includes companion classes {@link ScoredObject} which is a simple
- * composite of another object and a score, and {@link ScoredComparator}
- * which compares Scored objects.
- *
- * @author Dan Klein
- * @version 12/4/2000
- */
-public interface Scored {
-
-  /**
-   * @return The score of this thing.
-   */
-  public double score();
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ScoredComparator.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ScoredComparator.java
deleted file mode 100644
index 93a52fa..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ScoredComparator.java
+++ /dev/null
@@ -1,84 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.Comparator;
-import java.io.Serializable;
-
-/**
- * ScoredComparator allows one to compare Scored things.
- * There are two ScoredComparators, one which sorts in ascending order and
- * the other in descending order. They are implemented as singletons.
- *
- * @author Dan Klein
- * @author Christopher Manning
- * @version 2006/08/20
- */
-final public class ScoredComparator implements Comparator<Scored>, Serializable {
-
-  private static final long serialVersionUID = 1L;
-
-  private static final boolean ASCENDING = true;
-  private static final boolean DESCENDING = false;
-
-  public static final ScoredComparator ASCENDING_COMPARATOR = new ScoredComparator(ASCENDING);
-
-  public static final ScoredComparator DESCENDING_COMPARATOR = new ScoredComparator(DESCENDING);
-
-  private final boolean ascending;
-
-  private ScoredComparator(boolean ascending) {
-    this.ascending = ascending;
-  }
-
-  public int compare(Scored o1, Scored o2) {
-    if (o1 == o2) {
-      return 0;
-    }
-    double d1 = o1.score();
-    double d2 = o2.score();
-    if (ascending) {
-      if (d1 < d2) {
-        return -1;
-      }
-      if (d1 > d2) {
-        return 1;
-      }
-    } else {
-      if (d1 < d2) {
-        return 1;
-      }
-      if (d1 > d2) {
-        return -1;
-      }
-    }
-    return 0;
-  }
-
-  @Override
-  public boolean equals(Object o) {
-    if (o instanceof ScoredComparator) {
-      ScoredComparator sc = (ScoredComparator) o;
-      if (ascending == sc.ascending) {
-        return true;
-      }
-    }
-    return false;
-  }
-
-  /**
-   * Return the hashCode: there are only two distinct comparators by
-   * equals().
-   */
-  @Override
-  public int hashCode() {
-    if (ascending) {
-      return (1 << 23);
-    } else {
-      return (1 << 23) + 1;
-    }
-  }
-
-  @Override
-  public String toString() {
-    return "ScoredComparator(" + (ascending ? "ascending": "descending") + ")";
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ScoredObject.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ScoredObject.java
deleted file mode 100644
index 483f11e..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/ScoredObject.java
+++ /dev/null
@@ -1,46 +0,0 @@
-package edu.stanford.nlp.util;
-
-
-/**
- * Wrapper class for holding a scored object
- *
- * @author Dan Klein
- * @version 2/7/01
- */
-public class ScoredObject<T> implements Scored {
-
-  private double score;
-
-  public double score() {
-    return score;
-  }
-
-  public void setScore(double score) {
-    this.score = score;
-  }
-
-
-  private T object;
-
-  public T object() {
-    return object;
-  }
-
-  public void setObject(T object) {
-    this.object = object;
-  }
-
-  public ScoredObject() {
-  }
-
-  public ScoredObject(T object, double score) {
-    this.object = object;
-    this.score = score;
-  }
-
-  @Override
-  public String toString() {
-    return object + " @ " + score;
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Sets.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Sets.java
deleted file mode 100644
index e57f77d..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Sets.java
+++ /dev/null
@@ -1,118 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.HashSet;
-import java.util.Iterator;
-import java.util.Set;
-
-
-/**
- * Utilities for sets.
- *
- * @author Roger Levy, Bill MacCartney
- */
-public class Sets {
-
-  // private to prevent instantiation
-  private Sets() {}
-
-
-  /**
-   * Returns the set cross product of s1 and s2, as <code>Pair</code>s
-   */
-  public static <E,F> Set<Pair<E,F>> cross(Set<E> s1, Set<F> s2) {
-    Set<Pair<E,F>> s = new HashSet<Pair<E,F>>();
-    for (E o1 : s1) {
-      for (F o2 : s2) {
-        s.add(new Pair<E,F>(o1, o2));
-      }
-    }
-    return s;
-  }
-
-  /**
-   * Returns the difference of sets s1 and s2.
-   */
-  public static <E> Set<E> diff(Set<E> s1, Set<E> s2) {
-    Set<E> s = new HashSet<E>();
-    for (E o : s1) {
-      if (!s2.contains(o)) {
-        s.add(o);
-      }
-    }
-    return s;
-  }
-
-  /**
-   * Returns the symmetric difference of sets s1 and s2 (i.e. all elements that are in only one of the two sets)
-   */
-  public static <E> Set<E> symmetricDiff(Set<E> s1, Set<E> s2) {
-    Set<E> s = new HashSet<E>();
-    for (E o : s1) {
-      if (!s2.contains(o)) {
-        s.add(o);
-      }
-    }
-    for (E o : s2) {
-      if (!s1.contains(o)) {
-        s.add(o);
-      }
-    }
-    return s;
-  }
-
-  /**
-   * Returns the union of sets s1 and s2.
-   */
-  public static <E> Set<E> union(Set<E> s1, Set<E> s2) {
-    Set<E> s = new HashSet<E>();
-    s.addAll(s1);
-    s.addAll(s2);
-    return s;
-  }
-
-  /**
-   * Returns the intersection of sets s1 and s2.
-   */
-  public static <E> Set<E> intersection(Set<E> s1, Set<E> s2) {
-    Set<E> s = new HashSet<E>();
-    s.addAll(s1);
-    s.retainAll(s2);
-    return s;
-  }
-
-  /**
-   * Returns the powerset (the set of all subsets) of set s.
-   */
-  public static <E> Set<Set<E>> powerSet(Set<E> s) {
-    if (s.isEmpty()) {
-      Set<Set<E>> h = new HashSet<Set<E>>();
-      Set<E> h0 = new HashSet<E>(0);
-      h.add(h0);
-      return h;
-    } else {
-      Iterator<E> i = s.iterator();
-      E elt = i.next();
-      s.remove(elt);
-      Set<Set<E>> pow = powerSet(s);
-      Set<Set<E>> pow1 = powerSet(s);
-      // for (Iterator j = pow1.iterator(); j.hasNext();) {
-      for (Set<E> t : pow1) {
-        // Set<E> t = new HashSet<E>((Set<E>) j.next());
-        t.add(elt);
-        pow.add(t);
-      }
-      s.add(elt);
-      return pow;
-    }
-  }
-
-  public static void main(String[] args) {
-    Set<String> h = new HashSet<String>();
-    h.add("a");
-    h.add("b");
-    h.add("c");
-    Set<Set<String>> pow = powerSet(h);
-    System.out.println(pow);
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/StreamGobbler.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/StreamGobbler.java
deleted file mode 100644
index 2bb1608..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/StreamGobbler.java
+++ /dev/null
@@ -1,46 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.*;
-
-/**
- * Reads the output of a process started by Process.exec()
- *
- * Adapted from:
- *
- * http://www.velocityreviews.com/forums/t130884-process-runtimeexec-causes-subprocess-hang.html
- *
- * @author pado
- *
- */
-
-public class StreamGobbler extends Thread {
-
-  InputStream is;
-  Writer outputFileHandle;
-
-  public StreamGobbler (InputStream is, Writer outputFileHandle) {
-    this.is = is;
-    this.outputFileHandle = outputFileHandle;
-  }
-
-  public void run() {
-
-    try {
-      InputStreamReader isr = new InputStreamReader (is);
-      BufferedReader br = new BufferedReader (isr);
-
-      for (String s; (s = br.readLine()) != null; ) {
-        outputFileHandle.write(s);
-        outputFileHandle.write("\n");
-      }
-
-      isr.close();
-      br.close();
-      outputFileHandle.flush();
-    } catch (Exception ex) {
-      System.out.println ("Problem reading stream :"+is.getClass().getCanonicalName()+ " "+ ex);
-      ex.printStackTrace ();
-    }
-
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/StringUtils.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/StringUtils.java
deleted file mode 100644
index 182e8fe..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/StringUtils.java
+++ /dev/null
@@ -1,1747 +0,0 @@
-package edu.stanford.nlp.util;
-
-import edu.stanford.nlp.ling.CoreLabel;
-import edu.stanford.nlp.ling.HasOffset;
-import edu.stanford.nlp.ling.HasWord;
-import edu.stanford.nlp.math.SloppyMath;
-
-import java.io.*;
-import java.lang.reflect.Field;
-import java.lang.reflect.InvocationTargetException;
-import java.lang.reflect.Method;
-import java.util.*;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-/**
- * StringUtils is a class for random String things, including output
- * formatting and command line argument parsing.
- *
- * @author Dan Klein
- * @author Christopher Manning
- * @author Tim Grow (grow@stanford.edu)
- * @author Chris Cox
- * @version 2006/02/03
- */
-public class StringUtils {
-
-  /**
-   * Don't let anyone instantiate this class.
-   */
-  private StringUtils() {
-  }
-
-  public static final String[] EMPTY_STRING_ARRAY = new String[0];
-  private static final String PROP = "prop";
-  private static final String PROPS = "props";
-  private static final String PROPERTIES = "properties";
-  private static final String ARGS = "args";
-  private static final String ARGUMENTS = "arguments";
-
-  /**
-   * Say whether this regular expression can be found inside
-   * this String.  This method provides one of the two "missing"
-   * convenience methods for regular expressions in the String class
-   * in JDK1.4.  This is the one you'll want to use all the time if
-   * you're used to Perl.  What were they smoking?
-   *
-   * @param str   String to search for match in
-   * @param regex String to compile as the regular expression
-   * @return Whether the regex can be found in str
-   */
-  public static boolean find(String str, String regex) {
-    return Pattern.compile(regex).matcher(str).find();
-  }
-
-  /**
-   * Convenience method: a case-insensitive variant of Collection.contains
-   * @param c Collection&lt;String&gt;
-   * @param s String
-   * @return true if s case-insensitively matches a string in c
-   */
-  public static boolean containsIgnoreCase(Collection<String> c, String s) {
-    for (String squote: c) {
-      if (squote.equalsIgnoreCase(s))
-        return true;
-    }
-    return false;
-  }
-
-  /**
-   * Say whether this regular expression can be found at the beginning of
-   * this String.  This method provides one of the two "missing"
-   * convenience methods for regular expressions in the String class
-   * in JDK1.4.
-   *
-   * @param str   String to search for match at start of
-   * @param regex String to compile as the regular expression
-   * @return Whether the regex can be found at the start of str
-   */
-  public static boolean lookingAt(String str, String regex) {
-    return Pattern.compile(regex).matcher(str).lookingAt();
-  }
-
-  /**
-   * Takes a string of the form "x1=y1,x2=y2,..." such
-   * that each y is an integer and each x is a key.  A
-   * String[] s is returned such that s[yn]=xn
-   * @param map A string of the form "x1=y1,x2=y2,..." such
-   *     that each y is an integer and each x is a key.
-   * @return  A String[] s is returned such that s[yn]=xn
-   */
-  public static String[] mapStringToArray(String map) {
-    String[] m = map.split("[,;]");
-    int maxIndex = 0;
-    String[] keys = new String[m.length];
-    int[] indices = new int[m.length];
-    for (int i = 0; i < m.length; i++) {
-      int index = m[i].lastIndexOf('=');
-      keys[i] = m[i].substring(0, index);
-      indices[i] = Integer.parseInt(m[i].substring(index + 1));
-      if (indices[i] > maxIndex) {
-        maxIndex = indices[i];
-      }
-    }
-    String[] mapArr = new String[maxIndex + 1];
-    Arrays.fill(mapArr, null);
-    for (int i = 0; i < m.length; i++) {
-      mapArr[indices[i]] = keys[i];
-    }
-    return mapArr;
-  }
-
-
-  /**
-   * Takes a string of the form "x1=y1,x2=y2,..." and returns Map
-   * @param map A string of the form "x1=y1,x2=y2,..."
-   * @return  A Map m is returned such that m.get(xn) = yn
-   */
-  public static Map<String, String> mapStringToMap(String map) {
-    String[] m = map.split("[,;]");
-    Map<String, String> res = new HashMap<String, String>();
-    for (String str : m) {
-      int index = str.lastIndexOf('=');
-      String key = str.substring(0, index);
-      String val = str.substring(index + 1);
-      res.put(key.trim(), val.trim());
-    }
-    return res;
-  }
-
-  public static List<Pattern> regexesToPatterns(Iterable<String> regexes)
-  {
-    List<Pattern> patterns = new ArrayList<Pattern>();
-    for (String regex:regexes) {
-      patterns.add(Pattern.compile(regex));
-    }
-    return patterns;
-  }
-
-  /**
-   * Given a pattern and a string, returns a list with the values of the
-   * captured groups in the pattern. If the pattern does not match, returns
-   * null. Note that this uses Matcher.find() rather than Matcher.matches().
-   * If str is null, returns null.
-   */
-  public static List<String> regexGroups(Pattern regex, String str) {
-    if (str == null) {
-      return null;
-    }
-    
-    Matcher matcher = regex.matcher(str);
-    if (!matcher.find()) {
-      return null;
-    }
-    
-    List<String> groups = new ArrayList<String>();
-    for (int index = 1; index <= matcher.groupCount(); index++) {
-      groups.add(matcher.group(index));
-    }
-    
-    return groups;
-  }
-  
-  /**
-   * Say whether this regular expression matches
-   * this String.  This method is the same as the String.matches() method,
-   * and is included just to give a call that is parallel to the other
-   * static regex methods in this class.
-   *
-   * @param str   String to search for match at start of
-   * @param regex String to compile as the regular expression
-   * @return Whether the regex matches the whole of this str
-   */
-  public static boolean matches(String str, String regex) {
-    return Pattern.compile(regex).matcher(str).matches();
-  }
-
-
-  public static Set<String> stringToSet(String str, String delimiter)
-  {
-    Set<String> ret = null;
-    if (str != null) {
-      String[] fields = str.split(delimiter);
-      ret = new HashSet<String>(fields.length);
-      for (String field:fields) {
-        field = field.trim();
-        ret.add(field);
-      }
-    }
-    return ret;
-  }
-
-
-  public static String joinWords(Iterable<? extends HasWord> l, String glue) {
-    StringBuilder sb = new StringBuilder();
-    boolean first = true;
-    for (HasWord o : l) {
-      if ( ! first) {
-        sb.append(glue);
-      } else {
-        first = false;
-      }
-      sb.append(o.word());
-    }
-    return sb.toString();
-  }
-
-
-  /**
-   * Joins all the tokens together (more or less) according to their original whitespace.  It assumes all whitespace was " "
-   * @param tokens list of tokens which implement {@link HasOffset} and {@link HasWord}
-   * @return a string of the tokens with the appropriate amount of spacing
-   */
-  public static String joinWithOriginalWhiteSpace(List<CoreLabel> tokens) {
-    if (tokens.size() == 0) {
-      return "";
-    }
-    
-    CoreLabel lastToken = tokens.get(0);
-    StringBuffer buffer = new StringBuffer(lastToken.word());
-    
-    for (int i = 1; i < tokens.size(); i++) {
-      CoreLabel currentToken = tokens.get(i);
-      int numSpaces = currentToken.beginPosition() - lastToken.endPosition();
-      if (numSpaces < 0) {
-        numSpaces = 0;
-      }
-  
-      buffer.append(repeat(' ', numSpaces) + currentToken.word());
-      lastToken = currentToken;
-    }
-    
-    return buffer.toString();
-  }
-
-  /**
-   * Joins each elem in the {@code Collection} with the given glue.
-   * For example, given a list of {@code Integers}, you can create
-   * a comma-separated list by calling {@code join(numbers, ", ")}.
-   */
-  public static <X> String join(Iterable<X> l, String glue) {
-    StringBuilder sb = new StringBuilder();
-    boolean first = true;
-    for (X o : l) {
-      if ( ! first) {
-        sb.append(glue);
-      } else {
-        first = false;
-      }
-      sb.append(o);
-    }
-    return sb.toString();
-  }
-
-
-// Omitted; I'm pretty sure this are redundant with the above
-//  /**
-//   * Joins each elem in the List with the given glue. For example, given a
-//   * list
-//   * of Integers, you can create a comma-separated list by calling
-//   * <tt>join(numbers, ", ")</tt>.
-//   */
-//  public static String join(List l, String glue) {
-//    StringBuilder sb = new StringBuilder();
-//    for (int i = 0, sz = l.size(); i < sz; i++) {
-//      if (i > 0) {
-//        sb.append(glue);
-//      }
-//      sb.append(l.get(i).toString());
-//    }
-//    return sb.toString();
-//  }
-
-  /**
-   * Joins each elem in the array with the given glue. For example, given a
-   * list of ints, you can create a comma-separated list by calling
-   * <code>join(numbers, ", ")</code>.
-   */
-  public static String join(Object[] elements, String glue) {
-    return (join(Arrays.asList(elements), glue));
-  }
-
-  /**
-   * Joins elems with a space.
-   */
-  public static String join(Iterable<?> l) {
-    return join(l, " ");
-  }
-
-  /**
-   * Joins elements with a space.
-   */
-  public static String join(Object[] elements) {
-    return (join(elements, " "));
-  }
-
-
-  /**
-   * Splits on whitespace (\\s+).
-   * @param s String to split
-   * @return List<String> of split strings
-   */
-  public static List<String> split(String s) {
-    return split(s, "\\s+");
-  }
-
-  /**
-   * Splits the given string using the given regex as delimiters.
-   * This method is the same as the String.split() method (except it throws
-   * the results in a List),
-   * and is included just to give a call that is parallel to the other
-   * static regex methods in this class.
-   *
-   * @param str   String to split up
-   * @param regex String to compile as the regular expression
-   * @return List of Strings resulting from splitting on the regex
-   */
-  public static List<String> split(String str, String regex) {
-    return (Arrays.asList(str.split(regex)));
-  }
-
-
-  /** Split a string into tokens.  Because there is a tokenRegex as well as a
-   *  separatorRegex (unlike for the conventional split), you can do things
-   *  like correctly split quoted strings or parenthesized arguments.
-   *  However, it doesn't do the unquoting of quoted Strings for you.
-   *  An empty String argument is returned at the beginning, if valueRegex
-   *  accepts the empty String and str begins with separatorRegex.
-   *  But str can end with either valueRegex or separatorRegex and this does
-   *  not generate an empty String at the end (indeed, valueRegex need not
-   *  even accept the empty String in this case.  However, if it does accept
-   *  the empty String and there are multiple trailing separators, then
-   *  empty values will be returned.
-   *
-   *  @param str The String to split
-   *  @param valueRegex Must match a token. You may wish to let it match the empty String
-   *  @param separatorRegex Must match a separator
-   *  @return The List of tokens
-   *  @throws IllegalArgumentException if str cannot be tokenized by the two regex
-   */
-  public static List<String> valueSplit(String str, String valueRegex, String separatorRegex) {
-    Pattern vPat = Pattern.compile(valueRegex);
-    Pattern sPat = Pattern.compile(separatorRegex);
-    List<String> ret = new ArrayList<String>();
-    while (str.length() > 0) {
-      Matcher vm = vPat.matcher(str);
-      if (vm.lookingAt()) {
-        ret.add(vm.group());
-        str = str.substring(vm.end());
-        // String got = vm.group();
-        // System.err.println("vmatched " + got + "; now str is " + str);
-      } else {
-        throw new IllegalArgumentException("valueSplit: " + valueRegex + " doesn't match " + str);
-      }
-      if (str.length() > 0) {
-        Matcher sm = sPat.matcher(str);
-        if (sm.lookingAt()) {
-          str = str.substring(sm.end());
-          // String got = sm.group();
-          // System.err.println("smatched " + got + "; now str is " + str);
-        } else {
-          throw new IllegalArgumentException("valueSplit: " + separatorRegex + " doesn't match " + str);
-        }
-      }
-    } // end while
-    return ret;
-  }
-
-
-  /**
-   * Return a String of length a minimum of totalChars characters by
-   * padding the input String str at the right end with spaces.
-   * If str is already longer
-   * than totalChars, it is returned unchanged.
-   */
-  public static String pad(String str, int totalChars) {
-    if (str == null) {
-      str = "null";
-    }
-    int slen = str.length();
-    StringBuilder sb = new StringBuilder(str);
-    for (int i = 0; i < totalChars - slen; i++) {
-      sb.append(' ');
-    }
-    return sb.toString();
-  }
-
-  /**
-   * Pads the toString value of the given Object.
-   */
-  public static String pad(Object obj, int totalChars) {
-    return pad(obj.toString(), totalChars);
-  }
-
-
-  /**
-   * Pad or trim so as to produce a string of exactly a certain length.
-   *
-   * @param str The String to be padded or truncated
-   * @param num The desired length
-   */
-  public static String padOrTrim(String str, int num) {
-    if (str == null) {
-      str = "null";
-    }
-    int leng = str.length();
-    if (leng < num) {
-      StringBuilder sb = new StringBuilder(str);
-      for (int i = 0; i < num - leng; i++) {
-        sb.append(' ');
-      }
-      return sb.toString();
-    } else if (leng > num) {
-      return str.substring(0, num);
-    } else {
-      return str;
-    }
-  }
-
-  /**
-   * Pad or trim so as to produce a string of exactly a certain length.
-   *
-   * @param str The String to be padded or truncated
-   * @param num The desired length
-   */
-  public static String padLeftOrTrim(String str, int num) {
-    if (str == null) {
-      str = "null";
-    }
-    int leng = str.length();
-    if (leng < num) {
-      StringBuilder sb = new StringBuilder();
-      for (int i = 0; i < num - leng; i++) {
-        sb.append(' ');
-      }
-      sb.append(str);
-      return sb.toString();
-    } else if (leng > num) {
-      return str.substring(str.length() - num);
-    } else {
-      return str;
-    }
-  }
-
-  /**
-   * Pad or trim the toString value of the given Object.
-   */
-  public static String padOrTrim(Object obj, int totalChars) {
-    return padOrTrim(obj.toString(), totalChars);
-  }
-
-
-  /**
-   * Pads the given String to the left with the given character to ensure that
-   * it's at least totalChars long.
-   */
-  public static String padLeft(String str, int totalChars, char ch) {
-    if (str == null) {
-      str = "null";
-    }
-    StringBuilder sb = new StringBuilder();
-    for (int i = 0, num = totalChars - str.length(); i < num; i++) {
-      sb.append(ch);
-    }
-    sb.append(str);
-    return sb.toString();
-  }
-
-
-  /**
-   * Pads the given String to the left with spaces to ensure that it's
-   * at least totalChars long.
-   */
-  public static String padLeft(String str, int totalChars) {
-    return padLeft(str, totalChars, ' ');
-  }
-
-
-  public static String padLeft(Object obj, int totalChars) {
-    return padLeft(obj.toString(), totalChars);
-  }
-
-  public static String padLeft(int i, int totalChars) {
-    return padLeft(Integer.valueOf(i), totalChars);
-  }
-
-  public static String padLeft(double d, int totalChars) {
-    return padLeft(new Double(d), totalChars);
-  }
-
-  /**
-   * Returns s if it's at most maxWidth chars, otherwise chops right side to fit.
-   */
-  public static String trim(String s, int maxWidth) {
-    if (s.length() <= maxWidth) {
-      return (s);
-    }
-    return (s.substring(0, maxWidth));
-  }
-
-  public static String trim(Object obj, int maxWidth) {
-    return trim(obj.toString(), maxWidth);
-  }
-
-  public static String repeat(String s, int times) {
-    if (times == 0) {
-      return "";
-    }
-    StringBuilder sb = new StringBuilder(times * s.length());
-    for (int i = 0; i < times; i++) {
-      sb.append(s);
-    }
-    return sb.toString();
-  }
-
-  public static String repeat(char ch, int times) {
-    if (times == 0) {
-      return "";
-    }
-    StringBuilder sb = new StringBuilder(times);
-    for (int i = 0; i < times; i++) {
-      sb.append(ch);
-    }
-    return sb.toString();
-  }
-
-  /**
-   * Returns a "clean" version of the given filename in which spaces have
-   * been converted to dashes and all non-alphanumeric chars are underscores.
-   */
-  public static String fileNameClean(String s) {
-    char[] chars = s.toCharArray();
-    StringBuilder sb = new StringBuilder();
-    for (char c : chars) {
-      if ((c >= 'A' && c <= 'Z') || (c >= 'a' && c <= 'z') || (c >= '0' && c <= '9') || (c == '_')) {
-        sb.append(c);
-      } else {
-        if (c == ' ' || c == '-') {
-          sb.append('_');
-        } else {
-          sb.append('x').append((int) c).append('x');
-        }
-      }
-    }
-    return sb.toString();
-  }
-
-  /**
-   * Returns the index of the <i>n</i>th occurrence of ch in s, or -1
-   * if there are less than n occurrences of ch.
-   */
-  public static int nthIndex(String s, char ch, int n) {
-    int index = 0;
-    for (int i = 0; i < n; i++) {
-      // if we're already at the end of the string,
-      // and we need to find another ch, return -1
-      if (index == s.length() - 1) {
-        return -1;
-      }
-      index = s.indexOf(ch, index + 1);
-      if (index == -1) {
-        return (-1);
-      }
-    }
-    return index;
-  }
-
-
-  /**
-   * This returns a string from decimal digit smallestDigit to decimal digit
-   * biggest digit. Smallest digit is labeled 1, and the limits are
-   * inclusive.
-   */
-  public static String truncate(int n, int smallestDigit, int biggestDigit) {
-    int numDigits = biggestDigit - smallestDigit + 1;
-    char[] result = new char[numDigits];
-    for (int j = 1; j < smallestDigit; j++) {
-      n = n / 10;
-    }
-    for (int j = numDigits - 1; j >= 0; j--) {
-      result[j] = Character.forDigit(n % 10, 10);
-      n = n / 10;
-    }
-    return new String(result);
-  }
-
-  /**
-   * Parses command line arguments into a Map. Arguments of the form
-   * <p/>
-   * -flag1 arg1a arg1b ... arg1m -flag2 -flag3 arg3a ... arg3n
-   * <p/>
-   * will be parsed so that the flag is a key in the Map (including
-   * the hyphen) and its value will be a {@link String}[] containing
-   * the optional arguments (if present).  The non-flag values not
-   * captured as flag arguments are collected into a String[] array
-   * and returned as the value of <code>null</code> in the Map.  In
-   * this invocation, flags cannot take arguments, so all the {@link
-   * String} array values other than the value for <code>null</code>
-   * will be zero-length.
-   *
-   * @param args A command-line arguments array
-   * @return a {@link Map} of flag names to flag argument {@link
-   *         String} arrays.
-   */
-  public static Map<String, String[]> argsToMap(String[] args) {
-    return argsToMap(args, new HashMap<String, Integer>());
-  }
-
-  /**
-   * Parses command line arguments into a Map. Arguments of the form
-   * <p/>
-   * -flag1 arg1a arg1b ... arg1m -flag2 -flag3 arg3a ... arg3n
-   * <p/>
-   * will be parsed so that the flag is a key in the Map (including
-   * the hyphen) and its value will be a {@link String}[] containing
-   * the optional arguments (if present).  The non-flag values not
-   * captured as flag arguments are collected into a String[] array
-   * and returned as the value of <code>null</code> in the Map.  In
-   * this invocation, the maximum number of arguments for each flag
-   * can be specified as an {@link Integer} value of the appropriate
-   * flag key in the <code>flagsToNumArgs</code> {@link Map}
-   * argument. (By default, flags cannot take arguments.)
-   * <p/>
-   * Example of usage:
-   * <p/>
-   * <code>
-   * Map flagsToNumArgs = new HashMap();
-   * flagsToNumArgs.put("-x",new Integer(2));
-   * flagsToNumArgs.put("-d",new Integer(1));
-   * Map result = argsToMap(args,flagsToNumArgs);
-   * </code>
-   * <p/>
-   * If a given flag appears more than once, the extra args are appended to
-   * the String[] value for that flag.
-   *
-   * @param args           the argument array to be parsed
-   * @param flagsToNumArgs a {@link Map} of flag names to {@link
-   *                       Integer} values specifying the maximum number of
-   *                       allowed arguments for that flag (default 0).
-   * @return a {@link Map} of flag names to flag argument {@link
-   *         String} arrays.
-   */
-  public static Map<String, String[]> argsToMap(String[] args, Map<String, Integer> flagsToNumArgs) {
-    Map<String, String[]> result = new HashMap<String, String[]>();
-    List<String> remainingArgs = new ArrayList<String>();
-    for (int i = 0; i < args.length; i++) {
-      String key = args[i];
-      if (key.charAt(0) == '-') { // found a flag
-        Integer maxFlagArgs = flagsToNumArgs.get(key);
-        int max = maxFlagArgs == null ? 0 : maxFlagArgs.intValue();
-        List<String> flagArgs = new ArrayList<String>();
-        for (int j = 0; j < max && i + 1 < args.length && args[i + 1].charAt(0) != '-'; i++, j++) {
-          flagArgs.add(args[i + 1]);
-        }
-        if (result.containsKey(key)) { // append the second specification into the args.
-          String[] newFlagArg = new String[result.get(key).length + flagsToNumArgs.get(key)];
-          int oldNumArgs = result.get(key).length;
-          System.arraycopy(result.get(key), 0, newFlagArg, 0, oldNumArgs);
-          for (int j = 0; j < flagArgs.size(); j++) {
-            newFlagArg[j + oldNumArgs] = flagArgs.get(j);
-          }
-          result.put(key, newFlagArg);
-        } else {
-          result.put(key, flagArgs.toArray(new String[flagArgs.size()]));
-        }
-      } else {
-        remainingArgs.add(args[i]);
-      }
-    }
-    result.put(null, remainingArgs.toArray(new String[remainingArgs.size()]));
-    return result;
-  }
-
-  /**
-   * In this version each flag has zero or one argument. It has one argument
-   * if there is a thing following a flag that does not begin with '-'.  See
-   * {@link #argsToProperties(String[], Map)} for full documentation.
-   *
-   * @param args Command line arguments
-   * @return A Properties object representing the arguments.
-   */
-  public static Properties argsToProperties(String[] args) {
-    return argsToProperties(args, Collections.<String,Integer>emptyMap());
-  }
-
-  /**
-   * Analogous to {@link #argsToMap}.  However, there are several key differences between this method and {@link #argsToMap}:
-   * <ul>
-   * <li> Hyphens are stripped from flag names </li>
-   * <li> Since Properties objects are String to String mappings, the default number of arguments to a flag is
-   * assumed to be 1 and not 0. </li>
-   * <li> Furthermore, the list of arguments not bound to a flag is mapped to the "" property, not null </li>
-   * <li> The special flags "-prop", "-props", or "-properties" will load the property file specified by its argument. </li>
-   * <li> The value for flags without arguments is set to "true" </li>
-   * <li> If a flag has multiple arguments, the value of the property is all
-   * of the arguments joined together with a space (" ") character between
-   * them.</li>
-   * <li> The value strings are trimmed so trailing spaces do not stop you from loading a file</li>
-   * </ul>
-   *
-   * @param args Command line arguments
-   * @param flagsToNumArgs Map of how many arguments flags should have. The keys are without the minus signs.
-   * @return A Properties object representing the arguments.
-   */
-  public static Properties argsToProperties(String[] args, Map<String,Integer> flagsToNumArgs) {
-    Properties result = new Properties();
-    List<String> remainingArgs = new ArrayList<String>();
-    for (int i = 0; i < args.length; i++) {
-      String key = args[i];
-      if (key.length() > 0 && key.charAt(0) == '-') { // found a flag
-        if (key.charAt(1) == '-')
-          key = key.substring(2); // strip off 2 hyphens
-        else
-          key = key.substring(1); // strip off the hyphen
-
-        Integer maxFlagArgs = flagsToNumArgs.get(key);
-        int max = maxFlagArgs == null ? 1 : maxFlagArgs;
-        int min = maxFlagArgs == null ? 0 : maxFlagArgs;
-        List<String> flagArgs = new ArrayList<String>();
-        // cdm oct 2007: add length check to allow for empty string argument!
-        for (int j = 0; j < max && i + 1 < args.length && (j < min || args[i + 1].length() == 0 || args[i + 1].length() > 0 && args[i + 1].charAt(0) != '-'); i++, j++) {
-          flagArgs.add(args[i + 1]);
-        }
-        if (flagArgs.isEmpty()) {
-          result.setProperty(key, "true");
-        } else {
-          result.setProperty(key, join(flagArgs, " "));
-          if (key.equalsIgnoreCase(PROP) || key.equalsIgnoreCase(PROPS) || key.equalsIgnoreCase(PROPERTIES) || key.equalsIgnoreCase(ARGUMENTS) || key.equalsIgnoreCase(ARGS))
-          {
-            try {
-              InputStream is = new BufferedInputStream(new FileInputStream(result.getProperty(key)));
-              result.remove(key); // location of this line is critical
-              result.load(is);
-              // trim all values
-              for(Object propKey : result.keySet()){
-                String newVal = result.getProperty((String)propKey);
-                result.setProperty((String)propKey,newVal.trim());
-              }
-              is.close();
-            } catch (IOException e) {
-              result.remove(key);
-              System.err.println("argsToProperties could not read properties file: " + result.getProperty(key));
-              throw new RuntimeException(e);
-            }
-          }
-        }
-      } else {
-        remainingArgs.add(args[i]);
-      }
-    }
-    if (!remainingArgs.isEmpty()) {
-      result.setProperty("", join(remainingArgs, " "));
-    }
-
-    if (result.containsKey(PROP)) {
-      String file = result.getProperty(PROP);
-      result.remove(PROP);
-      Properties toAdd = argsToProperties(new String[]{"-prop", file});
-      for (Enumeration<?> e = toAdd.propertyNames(); e.hasMoreElements(); ) {
-        String key = (String) e.nextElement();
-        String val = toAdd.getProperty(key);
-        if (!result.containsKey(key)) {
-          result.setProperty(key, val);
-        }
-      }
-    }
-
-    return result;
-  }
-
-
-  /**
-   * This method reads in properties listed in a file in the format prop=value, one property per line.
-   * Although <code>Properties.load(InputStream)</code> exists, I implemented this method to trim the lines,
-   * something not implemented in the <code>load()</code> method.
-   * @param filename A properties file to read
-   * @return The corresponding Properties object
-   */
-  public static Properties propFileToProperties(String filename) {
-    Properties result = new Properties();
-    try {
-      InputStream is = new BufferedInputStream(new FileInputStream(filename));
-      result.load(is);
-      // trim all values
-      for(Object propKey : result.keySet()){
-        String newVal = result.getProperty((String)propKey);
-        result.setProperty((String)propKey,newVal.trim());
-      }
-      is.close();
-      return result;
-    } catch (IOException e) {
-      System.err.println("argsToProperties could not read properties file: " + filename);
-      throw new RuntimeException(e);
-    }
-  }
-
-  /**
-   * This method converts a comma-separated String (with whitespace
-   * optionally allowed after the comma) representing properties
-   * to a Properties object.  Each property is "property=value".  The value
-   * for properties without an explicitly given value is set to "true". This can be used for a 2nd level
-   * of properties, for example, when you have a commandline argument like "-outputOptions style=xml,tags".
-   */
-  public static Properties stringToProperties(String str) {
-    Properties result = new Properties();
-    return stringToProperties(str, result);
-  }
-
-  /**
-   * This method updates a Properties object based on
-   * a comma-separated String (with whitespace
-   * optionally allowed after the comma) representing properties
-   * to a Properties object.  Each property is "property=value".  The value
-   * for properties without an explicitly given value is set to "true".
-   */
-  public static Properties stringToProperties(String str, Properties props) {
-    String[] propsStr = str.trim().split(",\\s*");
-    for (String term : propsStr) {
-      int divLoc = term.indexOf('=');
-      String key;
-      String value;
-      if (divLoc >= 0) {
-        key = term.substring(0, divLoc).trim();
-        value = term.substring(divLoc + 1).trim();
-      } else {
-        key = term.trim();
-        value = "true";
-      }
-      props.setProperty(key, value);
-    }
-    return props;
-  }
-
-  /**
-   * If any of the given list of properties are not found, returns the
-   * name of that property.  Otherwise, returns null.
-   */
-  public static String checkRequiredProperties(Properties props, 
-                                               String ... requiredProps) {
-    for (String required : requiredProps) {
-      if (props.getProperty(required) == null) {
-        return required;
-      }
-    }
-    return null;
-  }
-
-
-  /**
-   * Prints to a file.  If the file already exists, appends if
-   * <code>append=true</code>, and overwrites if <code>append=false</code>.
-   */
-  public static void printToFile(File file, String message, boolean append,
-                                 boolean printLn, String encoding) {
-    PrintWriter pw = null;
-    try {
-      Writer fw;
-      if (encoding != null) {
-        fw = new OutputStreamWriter(new FileOutputStream(file, append),
-                                         encoding);
-      } else {
-        fw = new FileWriter(file, append);
-      }
-      pw = new PrintWriter(fw);
-      if (printLn) {
-        pw.println(message);
-      } else {
-        pw.print(message);
-      }
-    } catch (Exception e) {
-      System.err.println("Exception: in printToFile " + file.getAbsolutePath());
-      e.printStackTrace();
-    } finally {
-      if (pw != null) {
-        pw.flush();
-        pw.close();
-      }
-    }
-  }
-
-
-  /**
-   * Prints to a file.  If the file already exists, appends if
-   * <code>append=true</code>, and overwrites if <code>append=false</code>.
-   */
-  public static void printToFileLn(File file, String message, boolean append) {
-    PrintWriter pw = null;
-    try {
-      Writer fw = new FileWriter(file, append);
-      pw = new PrintWriter(fw);
-      pw.println(message);
-    } catch (Exception e) {
-      System.err.println("Exception: in printToFileLn " + file.getAbsolutePath() + ' ' + message);
-      e.printStackTrace();
-    } finally {
-      if (pw != null) {
-        pw.flush();
-        pw.close();
-      }
-    }
-  }
-
-  /**
-   * Prints to a file.  If the file already exists, appends if
-   * <code>append=true</code>, and overwrites if <code>append=false</code>.
-   */
-  public static void printToFile(File file, String message, boolean append) {
-    PrintWriter pw = null;
-    try {
-      Writer fw = new FileWriter(file, append);
-      pw = new PrintWriter(fw);
-      pw.print(message);
-    } catch (Exception e) {
-      System.err.println("Exception: in printToFile " + file.getAbsolutePath());
-      e.printStackTrace();
-    } finally {
-      if (pw != null) {
-        pw.flush();
-        pw.close();
-      }
-    }
-  }
-
-
-  /**
-   * Prints to a file.  If the file does not exist, rewrites the file;
-   * does not append.
-   */
-  public static void printToFile(File file, String message) {
-    printToFile(file, message, false);
-  }
-
-  /**
-   * Prints to a file.  If the file already exists, appends if
-   * <code>append=true</code>, and overwrites if <code>append=false</code>
-   */
-  public static void printToFile(String filename, String message, boolean append) {
-    printToFile(new File(filename), message, append);
-  }
-
-  /**
-   * Prints to a file.  If the file already exists, appends if
-   * <code>append=true</code>, and overwrites if <code>append=false</code>
-   */
-  public static void printToFileLn(String filename, String message, boolean append) {
-    printToFileLn(new File(filename), message, append);
-  }
-
-
-  /**
-   * Prints to a file.  If the file does not exist, rewrites the file;
-   * does not append.
-   */
-  public static void printToFile(String filename, String message) {
-    printToFile(new File(filename), message, false);
-  }
-
-  /**
-   * A simpler form of command line argument parsing.
-   * Dan thinks this is highly superior to the overly complexified code that
-   * comes before it.
-   * Parses command line arguments into a Map. Arguments of the form
-   * -flag1 arg1 -flag2 -flag3 arg3
-   * will be parsed so that the flag is a key in the Map (including the hyphen)
-   * and the
-   * optional argument will be its value (if present).
-   *
-   * @return A Map from keys to possible values (String or null)
-   */
-  @SuppressWarnings("unchecked")
-  public static Map<String, String> parseCommandLineArguments(String[] args) {
-    return (Map)parseCommandLineArguments(args, false);
-  }
-
-  /**
-   * A simpler form of command line argument parsing.
-   * Dan thinks this is highly superior to the overly complexified code that
-   * comes before it.
-   * Parses command line arguments into a Map. Arguments of the form
-   * -flag1 arg1 -flag2 -flag3 arg3
-   * will be parsed so that the flag is a key in the Map (including the hyphen)
-   * and the
-   * optional argument will be its value (if present).
-   * In this version, if the argument is numeric, it will be a Double value
-   * in the map, not a String.
-   *
-   * @return A Map from keys to possible values (String or null)
-   */
-  public static Map<String, Object> parseCommandLineArguments(String[] args, boolean parseNumbers) {
-    Map<String, Object> result = new HashMap<String, Object>();
-    for (int i = 0; i < args.length; i++) {
-      String key = args[i];
-      if (key.charAt(0) == '-') {
-        if (i + 1 < args.length) {
-          String value = args[i + 1];
-          if (value.charAt(0) != '-') {
-            if (parseNumbers) {
-              Object numericValue = value;
-              try {
-                numericValue = Double.parseDouble(value);
-              } catch (NumberFormatException e2) {
-                // ignore
-              }
-              result.put(key, numericValue);
-            } else {
-              result.put(key, value);
-            }
-            i++;
-          } else {
-            result.put(key, null);
-          }
-        } else {
-          result.put(key, null);
-        }
-      }
-    }
-    return result;
-  }
-
-  public static String stripNonAlphaNumerics(String orig) {
-    StringBuilder sb = new StringBuilder();
-    for (int i = 0; i < orig.length(); i++) {
-      char c = orig.charAt(i);
-      if ((c >= 'a' && c <= 'z') || (c >= 'A' && c <= 'Z') || (c >= '0' && c <= '9')) {
-        sb.append(c);
-      }
-    }
-    return sb.toString();
-  }
-
-  public static String stripSGML(String orig) {
-      Pattern sgmlPattern = Pattern.compile("<.*?>", Pattern.DOTALL);
-      Matcher sgmlMatcher = sgmlPattern.matcher(orig);
-      return sgmlMatcher.replaceAll("");
-  }
-
-  public static void printStringOneCharPerLine(String s) {
-    for (int i = 0; i < s.length(); i++) {
-      int c = s.charAt(i);
-      System.out.println(c + " \'" + (char) c + "\' ");
-    }
-  }
-
-  public static String escapeString(String s, char[] charsToEscape, char escapeChar) {
-    StringBuilder result = new StringBuilder();
-    for (int i = 0; i < s.length(); i++) {
-      char c = s.charAt(i);
-      if (c == escapeChar) {
-        result.append(escapeChar);
-      } else {
-        for (char charToEscape : charsToEscape) {
-          if (c == charToEscape) {
-            result.append(escapeChar);
-            break;
-          }
-        }
-      }
-      result.append(c);
-    }
-    return result.toString();
-  }
-
-  /**
-   * This function splits the String s into multiple Strings using the
-   * splitChar.  However, it provides a quoting facility: it is possible to
-   * quote strings with the quoteChar.
-   * If the quoteChar occurs within the quotedExpression, it must be prefaced
-   * by the escapeChar
-   *
-   * @param s         The String to split
-   * @param splitChar The character to split on
-   * @param quoteChar The character to quote items with
-   * @param escapeChar The character to escape the quoteChar with
-   * @return An array of Strings that s is split into
-   */
-  public static String[] splitOnCharWithQuoting(String s, char splitChar, char quoteChar, char escapeChar) {
-    List<String> result = new ArrayList<String>();
-    int i = 0;
-    int length = s.length();
-    StringBuilder b = new StringBuilder();
-    while (i < length) {
-      char curr = s.charAt(i);
-      if (curr == splitChar) {
-        // add last buffer
-        if (b.length() > 0) {
-          result.add(b.toString());
-          b = new StringBuilder();
-        }
-        i++;
-      } else if (curr == quoteChar) {
-        // find next instance of quoteChar
-        i++;
-        while (i < length) {
-          curr = s.charAt(i);
-          // mrsmith: changed this condition from
-          // if (curr == escapeChar) {
-          if ((curr == escapeChar) && (i+1 < length) && (s.charAt(i+1) == quoteChar)) {
-            b.append(s.charAt(i + 1));
-            i += 2;
-          } else if (curr == quoteChar) {
-            i++;
-            break; // break this loop
-          } else {
-            b.append(s.charAt(i));
-            i++;
-          }
-        }
-      } else {
-        b.append(curr);
-        i++;
-      }
-    }
-    if (b.length() > 0) {
-      result.add(b.toString());
-    }
-    return result.toArray(new String[result.size()]);
-  }
-
-  /**
-   * Computes the longest common substring of s and t.
-   * The longest common substring of a and b is the longest run of
-   * characters that appear in order inside both a and b. Both a and b
-   * may have other extraneous characters along the way. This is like
-   * edit distance but with no substitution and a higher number means
-   * more similar. For example, the LCS of "abcD" and "aXbc" is 3 (abc).
-   */
-  public static int longestCommonSubstring(String s, String t) {
-    int[][] d; // matrix
-    int n; // length of s
-    int m; // length of t
-    int i; // iterates through s
-    int j; // iterates through t
-    // int cost; // cost
-    // Step 1
-    n = s.length();
-    m = t.length();
-    if (n == 0) {
-      return 0;
-    }
-    if (m == 0) {
-      return 0;
-    }
-    d = new int[n + 1][m + 1];
-    // Step 2
-    for (i = 0; i <= n; i++) {
-      d[i][0] = 0;
-    }
-    for (j = 0; j <= m; j++) {
-      d[0][j] = 0;
-    }
-    // Step 3
-    for (i = 1; i <= n; i++) {
-      char s_i = s.charAt(i - 1); // ith character of s
-// Step 4
-      for (j = 1; j <= m; j++) {
-        char t_j = t.charAt(j - 1); // jth character of t
-// Step 5
-        // js: if the chars match, you can get an extra point
-        // otherwise you have to skip an insertion or deletion (no subs)
-        if (s_i == t_j) {
-          d[i][j] = SloppyMath.max(d[i - 1][j], d[i][j - 1], d[i - 1][j - 1] + 1);
-        } else {
-          d[i][j] = Math.max(d[i - 1][j], d[i][j - 1]);
-        }
-      }
-    }
-    /* ----
-      // num chars needed to display longest num
-      int numChars = (int) Math.ceil(Math.log(d[n][m]) / Math.log(10));
-      for (i = 0; i < numChars + 3; i++) {
-        System.err.print(' ');
-      }
-      for (j = 0; j < m; j++) {
-        System.err.print(t.charAt(j) + " ");
-      }
-      System.err.println();
-      for (i = 0; i <= n; i++) {
-        System.err.print((i == 0 ? ' ' : s.charAt(i - 1)) + " ");
-        for (j = 0; j <= m; j++) {
-          System.err.print(d[i][j] + " ");
-        }
-        System.err.println();
-      }
-    ---- */
-    // Step 7
-    return d[n][m];
-  }
-
-  /**
-   * Computes the longest common contiguous substring of s and t.
-   * The LCCS is the longest run of characters that appear consecutively in
-   * both s and t. For instance, the LCCS of "color" and "colour" is 4, because
-   * of "colo".
-   */
-  public static int longestCommonContiguousSubstring(String s, String t) {
-    if (s.length() == 0 || t.length() == 0) {
-      return 0;
-    }
-    int M = s.length();
-    int N = t.length();
-    int[][] d = new int[M + 1][N + 1];
-    for (int j = 0; j <= N; j++) {
-      d[0][j] = 0;
-    }
-    for (int i = 0; i <= M; i++) {
-      d[i][0] = 0;
-    }
-
-    int max = 0;
-    for (int i = 1; i <= M; i++) {
-      for (int j = 1; j <= N; j++) {
-        if (s.charAt(i - 1) == t.charAt(j - 1)) {
-          d[i][j] = d[i - 1][j - 1] + 1;
-        } else {
-          d[i][j] = 0;
-        }
-
-        if (d[i][j] > max) {
-          max = d[i][j];
-        }
-      }
-    }
-    // System.err.println("LCCS(" + s + "," + t + ") = " + max);
-    return max;
-  }
-
-  /**
-   * Computes the Levenshtein (edit) distance of the two given Strings.
-   * This method doesn't allow transposition, so one character transposed between two strings has a cost of 2 (one insertion, one deletion).
-   * The EditDistance class also implements the Levenshtein distance, but does allow transposition.
-   */
-  public static int editDistance(String s, String t) {
-    // Step 1
-    int n = s.length(); // length of s
-    int m = t.length(); // length of t
-    if (n == 0) {
-      return m;
-    }
-    if (m == 0) {
-      return n;
-    }
-    int[][] d = new int[n + 1][m + 1]; // matrix
-    // Step 2
-    for (int i = 0; i <= n; i++) {
-      d[i][0] = i;
-    }
-    for (int j = 0; j <= m; j++) {
-      d[0][j] = j;
-    }
-    // Step 3
-    for (int i = 1; i <= n; i++) {
-      char s_i = s.charAt(i - 1); // ith character of s
-      // Step 4
-      for (int j = 1; j <= m; j++) {
-        char t_j = t.charAt(j - 1); // jth character of t
-        // Step 5
-        int cost; // cost
-        if (s_i == t_j) {
-          cost = 0;
-        } else {
-          cost = 1;
-        }
-        // Step 6
-        d[i][j] = SloppyMath.min(d[i - 1][j] + 1, d[i][j - 1] + 1, d[i - 1][j - 1] + cost);
-      }
-    }
-
-    // Step 7
-    return d[n][m];
-  }
-
-
-  /**
-   * Computes the WordNet 2.0 POS tag corresponding to the PTB POS tag s.
-   *
-   * @param s a Penn TreeBank POS tag.
-   */
-  public static String pennPOSToWordnetPOS(String s) {
-    if (s.matches("NN|NNP|NNS|NNPS")) {
-      return "noun";
-    }
-    if (s.matches("VB|VBD|VBG|VBN|VBZ|VBP|MD")) {
-      return "verb";
-    }
-    if (s.matches("JJ|JJR|JJS|CD")) {
-      return "adjective";
-    }
-    if (s.matches("RB|RBR|RBS|RP|WRB")) {
-      return "adverb";
-    }
-    return null;
-  }
-
-  /**
-   * Returns a short class name for an object.
-   * This is the class name stripped of any package name.
-   *
-   * @return The name of the class minus a package name, for example
-   *         <code>ArrayList</code>
-   */
-  public static String getShortClassName(Object o) {
-    String name = o.getClass().getName();
-    int index = name.lastIndexOf('.');
-    if (index >= 0) {
-      name = name.substring(index + 1);
-    }
-    return name;
-  }
-
-
-  /**
-   * Converts a tab delimited string into an object with given fields
-   * Requires the object has setXxx functions for the specified fields
-   *
-   * @param objClass Class of object to be created
-   * @param str string to convert
-   * @param delimiterRegex delimiter regular expression
-   * @param fieldNames fieldnames
-   * @param <T> type to return
-   * @return Object created from string
-   */
-  public static <T> T columnStringToObject(Class objClass, String str, String delimiterRegex, String[] fieldNames)
-          throws InstantiationException, IllegalAccessException, NoSuchFieldException, NoSuchMethodException, InvocationTargetException
-  {
-    Pattern delimiterPattern = Pattern.compile(delimiterRegex);
-    return StringUtils.<T>columnStringToObject(objClass, str, delimiterPattern, fieldNames);
-  }
-
-  /**
-   * Converts a tab delimited string into an object with given fields
-   * Requires the object has public access for the specified fields
-   *
-   * @param objClass Class of object to be created
-   * @param str string to convert
-   * @param delimiterPattern delimiter
-   * @param fieldNames fieldnames
-   * @param <T> type to return
-   * @return Object created from string
-   */
-  public static <T> T columnStringToObject(Class<?> objClass, String str, Pattern delimiterPattern, String[] fieldNames)
-          throws InstantiationException, IllegalAccessException, NoSuchMethodException, NoSuchFieldException, InvocationTargetException
-  {
-    String[] fields = delimiterPattern.split(str);
-    T item = ErasureUtils.<T>uncheckedCast(objClass.newInstance());
-    for (int i = 0; i < fields.length; i++) {
-      try {
-        Field field = objClass.getDeclaredField(fieldNames[i]);
-        field.set(item, fields[i]);
-      } catch (IllegalAccessException ex) {
-        Method method = objClass.getDeclaredMethod("set" + StringUtils.capitalize(fieldNames[i]), String.class);
-        method.invoke(item, fields[i]);
-      }
-    }
-    return item;
-  }
-
-  /**
-   * Converts an object into a tab delimited string with given fields
-   * Requires the object has public access for the specified fields
-   *
-   * @param object Object to convert
-   * @param delimiter delimiter
-   * @param fieldNames fieldnames
-   * @return String representing object
-   */
-  public static String objectToColumnString(Object object, String delimiter, String[] fieldNames)
-          throws IllegalAccessException, NoSuchFieldException, NoSuchMethodException, InvocationTargetException
-  {
-    StringBuilder sb = new StringBuilder();
-    for (int i = 0; i < fieldNames.length; i++) {
-      if (sb.length() > 0) {
-        sb.append(delimiter);
-      }
-      try {
-        Field field = object.getClass().getDeclaredField(fieldNames[i]);
-        sb.append(field.get(object)) ;
-      } catch (IllegalAccessException ex) {
-        Method method = object.getClass().getDeclaredMethod("get" + StringUtils.capitalize(fieldNames[i]));
-        sb.append(method.invoke(object));
-      }
-    }
-    return sb.toString();
-  }
-
-  /**
-   * Uppercases the first character of a string.
-   *
-   * @param s a string to capitalize
-   * @return a capitalized version of the string
-   */
-  public static String capitalize(String s) {
-    if (Character.isLowerCase(s.charAt(0))) {
-      return Character.toUpperCase(s.charAt(0)) + s.substring(1);
-    } else {
-      return s;
-    }
-  }
-
-  /**
-   * Check if a string begins with an uppercase.
-   *
-   * @param s a string
-   * @return true if the string is capitalized
-   *         false otherwise
-   */
-  public static boolean isCapitalized(String s) {
-    return (Character.isUpperCase(s.charAt(0)));
-  }
-
-  public static String searchAndReplace(String text, String from, String to) {
-    from = escapeString(from, new char[]{'.', '[', ']', '\\'}, '\\'); // special chars in regex
-    Pattern p = Pattern.compile(from);
-    Matcher m = p.matcher(text);
-    return m.replaceAll(to);
-  }
-
-  /**
-   * Returns an HTML table containing the matrix of Strings passed in.
-   * The first dimension of the matrix should represent the rows, and the
-   * second dimension the columns.
-   */
-  public static String makeHTMLTable(String[][] table, String[] rowLabels, String[] colLabels) {
-    StringBuilder buff = new StringBuilder();
-    buff.append("<table class=\"auto\" border=\"1\" cellspacing=\"0\">\n");
-    // top row
-    buff.append("<tr>\n");
-    buff.append("<td></td>\n"); // the top left cell
-    for (int j = 0; j < table[0].length; j++) { // assume table is a rectangular matrix
-      buff.append("<td class=\"label\">").append(colLabels[j]).append("</td>\n");
-    }
-    buff.append("</tr>\n");
-    // all other rows
-    for (int i = 0; i < table.length; i++) {
-      // one row
-      buff.append("<tr>\n");
-      buff.append("<td class=\"label\">").append(rowLabels[i]).append("</td>\n");
-      for (int j = 0; j < table[i].length; j++) {
-        buff.append("<td class=\"data\">");
-        buff.append(((table[i][j] != null) ? table[i][j] : ""));
-        buff.append("</td>\n");
-      }
-      buff.append("</tr>\n");
-    }
-    buff.append("</table>");
-    return buff.toString();
-  }
-
-  /**
-   * Returns an text table containing the matrix of Strings passed in.
-   * The first dimension of the matrix should represent the rows, and the
-   * second dimension the columns.
-   */
-  public static String makeAsciiTable(Object[][] table, Object[] rowLabels, Object[] colLabels, int padLeft, int padRight, boolean tsv) {
-    StringBuilder buff = new StringBuilder();
-    // top row
-    buff.append(makeAsciiTableCell("", padLeft, padRight, tsv)); // the top left cell
-    for (int j = 0; j < table[0].length; j++) { // assume table is a rectangular matrix
-      buff.append(makeAsciiTableCell(colLabels[j], padLeft, padRight, (j != table[0].length - 1) && tsv));
-    }
-    buff.append('\n');
-    // all other rows
-    for (int i = 0; i < table.length; i++) {
-      // one row
-      buff.append(makeAsciiTableCell(rowLabels[i], padLeft, padRight, tsv));
-      for (int j = 0; j < table[i].length; j++) {
-        buff.append(makeAsciiTableCell(table[i][j], padLeft, padRight, (j != table[0].length - 1) && tsv));
-      }
-      buff.append('\n');
-    }
-    return buff.toString();
-  }
-
-
-  /** The cell String is the string representation of the object.
-   *  If padLeft is greater than 0, it is padded. Ditto right
-   *
-   */
-  private static String makeAsciiTableCell(Object obj, int padLeft, int padRight, boolean tsv) {
-    String result = obj.toString();
-    if (padLeft > 0) {
-      result = padLeft(result, padLeft);
-    }
-    if (padRight > 0) {
-      result = pad(result, padRight);
-    }
-    if (tsv) {
-      result = result + '\t';
-    }
-    return result;
-  }
-
-  /**
-   * Tests the string edit distance function.
-   */
-  public static void main(String[] args) {
-
-    String[] s = {"there once was a man", "this one is a manic", "hey there", "there once was a mane", "once in a manger.", "where is one match?", "Jo3seph Smarr!", "Joseph R Smarr"};
-    for (int i = 0; i < 8; i++) {
-      for (int j = 0; j < 8; j++) {
-        System.out.println("s1: " + s[i]);
-        System.out.println("s2: " + s[j]);
-        System.out.println("edit distance: " + editDistance(s[i], s[j]));
-        System.out.println("LCS:           " + longestCommonSubstring(s[i], s[j]));
-        System.out.println("LCCS:          " + longestCommonContiguousSubstring(s[i], s[j]));
-        System.out.println();
-      }
-    }
-  }
-
-  public static String toAscii(String s) {
-    StringBuilder b = new StringBuilder();
-    for (int i = 0; i < s.length(); i++) {
-      char c = s.charAt(i);
-      if (c > 127) {
-        String result = "?";
-        if (c >= 0x00c0 && c <= 0x00c5) {
-          result = "A";
-        } else if (c == 0x00c6) {
-          result = "AE";
-        } else if (c == 0x00c7) {
-          result = "C";
-        } else if (c >= 0x00c8 && c <= 0x00cb) {
-          result = "E";
-        } else if (c >= 0x00cc && c <= 0x00cf) {
-          result = "F";
-        } else if (c == 0x00d0) {
-          result = "D";
-        } else if (c == 0x00d1) {
-          result = "N";
-        } else if (c >= 0x00d2 && c <= 0x00d6) {
-          result = "O";
-        } else if (c == 0x00d7) {
-          result = "x";
-        } else if (c == 0x00d8) {
-          result = "O";
-        } else if (c >= 0x00d9 && c <= 0x00dc) {
-          result = "U";
-        } else if (c == 0x00dd) {
-          result = "Y";
-        } else if (c >= 0x00e0 && c <= 0x00e5) {
-          result = "a";
-        } else if (c == 0x00e6) {
-          result = "ae";
-        } else if (c == 0x00e7) {
-          result = "c";
-        } else if (c >= 0x00e8 && c <= 0x00eb) {
-          result = "e";
-        } else if (c >= 0x00ec && c <= 0x00ef) {
-          result = "i";
-        } else if (c == 0x00f1) {
-          result = "n";
-        } else if (c >= 0x00f2 && c <= 0x00f8) {
-          result = "o";
-        } else if (c >= 0x00f9 && c <= 0x00fc) {
-          result = "u";
-        } else if (c >= 0x00fd && c <= 0x00ff) {
-          result = "y";
-        } else if (c >= 0x2018 && c <= 0x2019) {
-          result = "\'";
-        } else if (c >= 0x201c && c <= 0x201e) {
-          result = "\"";
-        } else if (c >= 0x0213 && c <= 0x2014) {
-          result = "-";
-        } else if (c >= 0x00A2 && c <= 0x00A5) {
-          result = "$";
-        } else if (c == 0x2026) {
-          result = ".";
-        }
-        b.append(result);
-      } else {
-        b.append(c);
-      }
-    }
-    return b.toString();
-  }
-
-
-  public static String toCSVString(String[] fields) {
-    StringBuilder b = new StringBuilder();
-    for (String fld : fields) {
-      if (b.length() > 0) {
-        b.append(',');
-      }
-      String field = escapeString(fld, new char[]{'\"'}, '\"'); // escape quotes with double quotes
-      b.append('\"').append(field).append('\"');
-    }
-    return b.toString();
-  }
-
-  /**
-   * Swap any occurrences of any characters in the from String in the input String with
-   * the corresponding character from the to String.  As Perl tr, for example,
-   * tr("chris", "irs", "mop").equals("chomp"), except it does not
-   * support regular expression character ranges.
-   * <p>
-   * <i>Note:</i> This is now optimized to not allocate any objects if the
-   * input is returned unchanged.
-   */
-  public static String tr(String input, String from, String to) {
-    assert from.length() == to.length();
-    StringBuilder sb = null;
-    int len = input.length();
-    for (int i = 0; i < len; i++) {
-      int ind = from.indexOf(input.charAt(i));
-      if (ind >= 0) {
-        if (sb == null) {
-          sb = new StringBuilder(input);
-        }
-        sb.setCharAt(i, to.charAt(ind));
-      }
-    }
-    if (sb == null) {
-      return input;
-    } else {
-      return sb.toString();
-    }
-  }
-
-  /**
-   * Returns the supplied string with any trailing '\n' removed.
-   */
-  public static String chomp(String s) {
-    if(s.length() == 0)
-      return s;
-    int l_1 = s.length() - 1;
-    if (s.charAt(l_1) == '\n') {
-      return s.substring(0, l_1);
-    }
-    return s;
-  }
-
-  /**
-   * Returns the result of calling toString() on the supplied Object, but with
-   * any trailing '\n' removed.
-   */
-  public static String chomp(Object o) {
-    return chomp(o.toString());
-  }
-
-
-  public static void printErrInvocationString(String cls, String[] args) {
-    System.err.println(toInvocationString(cls, args));
-  }
-
-
-  public static String toInvocationString(String cls, String[] args) {
-    StringBuilder sb = new StringBuilder();
-    sb.append(cls).append(" invoked on ").append(new Date());
-    sb.append(" with arguments:\n  ");
-    for (String arg : args) {
-      sb.append(' ').append(arg);
-    }
-    return sb.toString();
-  }
-
-  /**
-   * Strip directory from filename.  Like Unix 'basename'. <p/>
-   *
-   * Example: <code>getBaseName("/u/wcmac/foo.txt") ==> "foo.txt"</code>
-   */
-  public static String getBaseName(String fileName) {
-    return getBaseName(fileName, "");
-  }
-
-  /**
-   * Strip directory and suffix from filename.  Like Unix 'basename'. <p/>
-   *
-   * Example: <code>getBaseName("/u/wcmac/foo.txt", "") ==> "foo.txt"</code><br/>
-   * Example: <code>getBaseName("/u/wcmac/foo.txt", ".txt") ==> "foo"</code><br/>
-   * Example: <code>getBaseName("/u/wcmac/foo.txt", ".pdf") ==> "foo.txt"</code><br/>
-   */
-  public static String getBaseName(String fileName, String suffix) {
-    String[] elts = fileName.split("/");
-    String lastElt = elts[elts.length - 1];
-    if (lastElt.endsWith(suffix)) {
-      lastElt = lastElt.substring(0, lastElt.length() - suffix.length());
-    }
-    return lastElt;
-  }
-
-  /**
-   * Given a String the method uses Regex to check if the String only contains alphabet characters
-   *
-   * @param s a String to check using regex
-   * @return true if the String is valid
-   */
-  public static boolean isAlpha(String s){
-    Pattern p = Pattern.compile("^[\\p{Alpha}\\s]+$");
-    Matcher m = p.matcher(s);
-    return m.matches();
-  }
-
-  /**
-   * Given a String the method uses Regex to check if the String only contains numeric characters
-   *
-   * @param s a String to check using regex
-   * @return true if the String is valid
-   */
-  public static boolean isNumeric(String s){
-    Pattern p = Pattern.compile("^[\\p{Digit}\\s\\.]+$");
-    Matcher m = p.matcher(s);
-    return m.matches();
-  }
-
-  /**
-   * Given a String the method uses Regex to check if the String only contains alphanumeric characters
-   *
-   * @param s a String to check using regex
-   * @return true if the String is valid
-   */
-  public static boolean isAlphanumeric(String s){
-    Pattern p = Pattern.compile("^[\\p{Alnum}\\s\\.]+$");
-    Matcher m = p.matcher(s);
-    return m.matches();
-  }
-
-  /**
-   * Given a String the method uses Regex to check if the String only contains punctuation characters
-   *
-   * @param s a String to check using regex
-   * @return true if the String is valid
-   */
-  public static boolean isPunct(String s){
-    Pattern p = Pattern.compile("^[\\p{Punct}]+$");
-    Matcher m = p.matcher(s);
-    return m.matches();
-  }
-
-  /**
-   * Given a String the method uses Regex to check if the String looks like an acronym
-   *
-   * @param s a String to check using regex
-   * @return true if the String is valid
-   */
-  public static boolean isAcronym(String s){
-    Pattern p = Pattern.compile("^[\\p{Upper}]+$");
-    Matcher m = p.matcher(s);
-    return m.matches();
-  }
-  
-  public static String getNotNullString(String s){
-	  if(s == null)
-		  return "";
-	  else
-		  return s;
-  }
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/SystemUtils.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/SystemUtils.java
deleted file mode 100644
index ea98041..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/SystemUtils.java
+++ /dev/null
@@ -1,321 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.*;
-import java.io.*;
-
-
-/**
- * Useful methods for running shell commands, getting the process ID, checking
- * memory usage, etc.
- *
- * @author Bill MacCartney
- * @author Steven Bethard ({@link #run})
- */
-public class SystemUtils {
-  
-  /**
-   * Runtime exception thrown by execute.
-   */
-  public static class ProcessException extends RuntimeException {
-    private static final long serialVersionUID = 1L;
-    public ProcessException(String string) {
-      super(string);
-    }
-    public ProcessException(Throwable cause) {
-      super(cause);
-    }
-  }
-  
-  /**
-   * Start the process defined by the ProcessBuilder, and run until complete.
-   * 
-   * Process output and errors will be written to System.out and System.err,
-   * respectively.
-   *  
-   * @param builder The ProcessBuilder defining the process to run.
-   */
-  public static void run(ProcessBuilder builder) {
-    run(builder, null, null);
-  }
-
-  /**
-   * Start the process defined by the ProcessBuilder, and run until complete.
-   * 
-   * @param builder The ProcessBuilder defining the process to run.
-   * @param output  Where the process output should be written. If null, the
-   *                process output will be written to System.out.
-   * @param error   Where the process error output should be written. If null,
-   *                the process error output will written to System.err. 
-   */
-  public static void run(ProcessBuilder builder, Writer output, Writer error) {
-    try {
-      Process process = builder.start();
-      consume(process, output, error);
-      int result = process.waitFor();
-      if (result != 0) {
-        String msg = "process %s exited with value %d";
-        throw new ProcessException(String.format(msg, builder.command(), result));
-      }
-    } catch (InterruptedException e) {
-      throw new ProcessException(e);
-    } catch (IOException e) {
-      throw new ProcessException(e);
-    }
-  }
-  
-  /**
-   * Helper method that consumes the output and error streams of a process.
-   * 
-   * This should avoid deadlocks where, e.g. the process won't complete because
-   * it is waiting for output to be read from stdout or stderr.
-   * 
-   * @param process      A running process.
-   * @param outputWriter Where to write output. If null, System.out is used.
-   * @param errorWriter  Where to write error output. If null, System.err is used.
-   */
-  private static void consume(Process process, Writer outputWriter, Writer errorWriter)
-  throws IOException, InterruptedException {
-    if (outputWriter == null) {
-      outputWriter = new OutputStreamWriter(System.out);
-    }
-    if (errorWriter == null) {
-      errorWriter = new OutputStreamWriter(System.err);
-    }
-    WriterThread outputThread = new WriterThread(process.getInputStream(), outputWriter);
-    WriterThread errorThread = new WriterThread(process.getErrorStream(), errorWriter);
-    outputThread.start();
-    errorThread.start();
-    outputThread.join();
-    errorThread.join();
-  }
-  
-  /**
-   * Thread that reads from an Reader and writes to a Writer.
-   * 
-   * Used as a helper for {@link #consume} to avoid deadlocks.
-   */
-  private static class WriterThread extends Thread {
-    private Reader reader;
-    private Writer writer;
-    public WriterThread(InputStream inputStream, Writer writer) {
-      this.reader = new InputStreamReader(inputStream);
-      this.writer = writer;
-    }
-
-    @Override
-    public void run() {
-      char[] buffer = new char[4096];
-      while (true) {
-        try {
-          int read = this.reader.read(buffer);
-          if (read == -1) {
-            break;
-          }
-          this.writer.write(buffer, 0, read);
-          this.writer.flush();
-        } catch (IOException e) {
-          throw new ProcessException(e);
-        }
-        Thread.yield();
-      }
-    }
-  }
-
-  /**
-   * Helper class that acts as a output stream to a process
-   */
-  public static class ProcessOutputStream extends OutputStream
-  {
-    private Process process;
-    private Thread outWriterThread;
-    private Thread errWriterThread;
-
-    public ProcessOutputStream(String[] cmd) throws IOException {
-      this(new ProcessBuilder(cmd), new PrintWriter(System.out), new PrintWriter(System.err));
-    }
-
-    public ProcessOutputStream(String[] cmd, Writer writer) throws IOException {
-      this(new ProcessBuilder(cmd), writer, writer);
-    }
-
-    public ProcessOutputStream(String[] cmd, Writer output, Writer error) throws IOException {
-      this(new ProcessBuilder(cmd), output, error);
-    }
-
-    public ProcessOutputStream(ProcessBuilder builder, Writer output, Writer error) throws IOException {
-      this.process = builder.start();
-
-      errWriterThread = new StreamGobbler(process.getErrorStream(), error);
-      outWriterThread = new StreamGobbler(process.getInputStream(), output);
-      errWriterThread.start();
-      outWriterThread.start();
-    }
-
-    public void flush() throws IOException
-    {
-      process.getOutputStream().flush();
-    }
-
-    public void write(int b) throws IOException
-    {
-      process.getOutputStream().write(b);
-    }
-
-    public void close() throws IOException
-    {
-      process.getOutputStream().close();
-      try {
-        errWriterThread.join();
-        outWriterThread.join();
-        process.waitFor();
-      } catch (InterruptedException e) {
-        throw new ProcessException(e);
-      }
-    }
-  }
-
-  /**
-   * Runs the shell command which is specified, along with its arguments, in the
-   * given <code>String</code> array.  If there is any regular output or error
-   * output, it is appended to the given <code>StringBuilder</code>s.
-   */
-  public static void runShellCommand(String[] cmd,
-                                     StringBuilder outputLines,
-                                     StringBuilder errorLines)
-    throws IOException {
-    Process p = Runtime.getRuntime().exec(cmd);
-    if (outputLines != null) {
-      BufferedReader in =
-        new BufferedReader(new InputStreamReader(p.getInputStream()));
-      String line;
-      while ((line = in.readLine()) != null) {
-        outputLines.append(line);
-      }
-    }
-    if (errorLines != null) {
-      BufferedReader err =
-        new BufferedReader(new InputStreamReader(p.getErrorStream()));
-      String line;
-      while ((line = err.readLine()) != null) {
-        errorLines.append(line);
-      }
-    }
-  }
-
-
-  /**
-   * Runs the shell command which is specified, along with its arguments, in the
-   * given <code>String</code>.  If there is any regular output or error output,
-   * it is appended to the given <code>StringBuilder</code>s.
-   */
-  public static void runShellCommand(String cmd,
-                                     StringBuilder outputLines,
-                                     StringBuilder errorLines)
-    throws IOException {
-    runShellCommand(new String[] {cmd}, outputLines, errorLines);
-  }
-
-
-  /**
-   * Runs the shell command which is specified, along with its arguments, in the
-   * given <code>String</code> array.  If there is any regular output, it is
-   * appended to the given <code>StringBuilder</code>.  If there is any error
-   * output, it is swallowed (!).
-   */
-  public static void runShellCommand(String[] cmd,
-                                     StringBuilder outputLines)
-    throws IOException {
-    runShellCommand(cmd, outputLines, null);
-  }
-
-
-  /**
-   * Runs the shell command which is specified, along with its arguments, in the
-   * given <code>String</code>.  If there is any regular output, it is appended
-   * to the given <code>StringBuilder</code>.  If there is any error output, it
-   * is swallowed (!).
-   */
-  public static void runShellCommand(String cmd,
-                                     StringBuilder outputLines)
-    throws IOException {
-    runShellCommand(new String[] {cmd}, outputLines, null);
-  }
-
-
-  /**
-   * Runs the shell command which is specified, along with its arguments, in the
-   * given <code>String</code> array.  If there is any output, it is swallowed
-   * (!).
-   */
-  public static void runShellCommand(String[] cmd)
-    throws IOException {
-    runShellCommand(cmd, null, null);
-  }
-
-
-  /**
-   * Runs the shell command which is specified, along with its arguments, in the
-   * given <code>String</code>.  If there is any output, it is swallowed (!).
-   */
-  public static void runShellCommand(String cmd)
-    throws IOException {
-    runShellCommand(new String[] {cmd}, null, null);
-  }
-
-
-  /**
-   * Returns the process ID, via an awful hack.
-   */
-  public static int getPID() throws IOException {
-    // note that we ask Perl for "ppid" -- process ID of parent -- that's us
-    String[] cmd = 
-      new String[] {"perl", "-e", "print getppid() . \"\\n\";"};
-    StringBuilder out = new StringBuilder();
-    runShellCommand(cmd, out);
-    return Integer.parseInt(out.toString());
-  }
-
-
-  /**
-   * Returns the process ID, via an awful hack, or else -1.
-   */
-  public static int getPIDNoExceptions() {
-    try {
-      return SystemUtils.getPID();
-    } catch (IOException e) {
-      return -1;
-    }
-  }
-
-
-  /**
-   * Returns the number of megabytes (MB) of memory in use.
-   */
-  public static int getMemoryInUse() {
-    Runtime runtime = Runtime.getRuntime();
-    long mb = 1024 * 1024;
-    long total = runtime.totalMemory();
-    long free = runtime.freeMemory();
-    return (int) ((total - free) / mb);
-  }
-
-
-  public static void main(String[] args) throws Exception {
-    StringBuilder out = new StringBuilder();
-    runShellCommand("date", out);
-    System.out.println("The date is " + out);
-    int pid = getPID();
-    System.out.println("The PID is " + pid);
-    System.out.println("The memory in use is " + getMemoryInUse() + "MB");
-    List<String> foo = new ArrayList<String>();
-    for (int i = 0; i < 5000000; i++) {
-      foo.add("0123456789");
-    }
-    System.out.println("The memory in use is " + getMemoryInUse() + "MB");
-    foo = null;
-    System.gc();
-    System.out.println("The memory in use is " + getMemoryInUse() + "MB");
-  }
-
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Timing.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Timing.java
deleted file mode 100644
index 66a36af..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Timing.java
+++ /dev/null
@@ -1,346 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.PrintStream;
-import java.io.PrintWriter;
-import java.text.NumberFormat;
-import java.text.DecimalFormat;
-
-/**
- * A class for measuring how long things take.  For backward
- * compatibility, this class contains static methods, but the
- * preferred usage is to instantiate a Timing object and use instance
- * methods.
- *
- * @author Bill MacCartney
- */
-public class Timing {
-
-  /**
-   * Stores the time at which the timer was started.
-   */
-  private long start;
-
-  /**
-   * Stores the time at which the (static) timer was started.
-   */
-  private static long startTime = System.currentTimeMillis();
-
-  /** Stores a suitable formatter for printing seconds nicely. */
-  private static NumberFormat nf = new DecimalFormat("0.0");
-
-
-  /**
-   * Constructs new Timing object and starts the timer.
-   */
-  public Timing() {
-    this.start();
-  }
-
-  // start ==========================================================
-
-  /**
-   * Start timer.
-   */
-  public void start() {
-    start = System.currentTimeMillis();
-  }
-
-  // report =========================================================
-
-  /**
-   * Return elapsed time (without stopping timer).
-   *
-   * @return Number of milliseconds elapsed
-   */
-  public long report() {
-    return System.currentTimeMillis() - start;
-  }
-
-  /**
-   * Print elapsed time (without stopping timer).
-   *
-   * @param str    Additional prefix string to be printed
-   * @param stream PrintStream on which to write output
-   * @return Number of milliseconds elapsed
-   */
-  public long report(String str, PrintStream stream) {
-    long elapsed = this.report();
-    stream.println(str + " Time elapsed: " + (elapsed) + " ms");
-    return elapsed;
-  }
-
-  /**
-   * Print elapsed time to <code>System.err</code> (without stopping timer).
-   *
-   * @param str Additional prefix string to be printed
-   * @return Number of milliseconds elapsed
-   */
-  public long report(String str) {
-    return this.report(str, System.err);
-  }
-
-  /**
-   * Print elapsed time (without stopping timer).
-   *
-   * @param str    Additional prefix string to be printed
-   * @param writer PrintWriter on which to write output
-   * @return Number of milliseconds elapsed
-   */
-  public long report(String str, PrintWriter writer) {
-    long elapsed = this.report();
-    writer.println(str + " Time elapsed: " + (elapsed) + " ms");
-    return elapsed;
-  }
-
-  public String toSecondsString() {
-    return toSecondsString(report());
-  }
-
-  public static String toSecondsString(long elapsed) {
-    return nf.format(((double) elapsed) / 1000);
-  }
-
-
-  // restart ========================================================
-
-  /**
-   * Restart timer.
-   *
-   * @return Number of milliseconds elapsed
-   */
-  public long restart() {
-    long elapsed = this.report();
-    this.start();
-    return elapsed;
-  }
-
-  /**
-   * Print elapsed time and restart timer.
-   *
-   * @param str    Additional prefix string to be printed
-   * @param stream PrintStream on which to write output
-   * @return Number of milliseconds elapsed
-   */
-  public long restart(String str, PrintStream stream) {
-    long elapsed = this.report(str, stream);
-    this.start();
-    return elapsed;
-  }
-
-  /**
-   * Print elapsed time to <code>System.err</code> and restart timer.
-   *
-   * @param str Additional prefix string to be printed
-   * @return Number of milliseconds elapsed
-   */
-  public long restart(String str) {
-    return this.restart(str, System.err);
-  }
-
-  /**
-   * Print elapsed time and restart timer.
-   *
-   * @param str    Additional prefix string to be printed
-   * @param writer PrintWriter on which to write output
-   * @return Number of milliseconds elapsed
-   */
-  public long restart(String str, PrintWriter writer) {
-    long elapsed = this.report(str, writer);
-    this.start();
-    return elapsed;
-  }
-
-  // stop ===========================================================
-
-  /**
-   * Stop timer.
-   *
-   * @return Number of milliseconds elapsed
-   */
-  public long stop() {
-    long elapsed = this.report();
-    this.start = 0;
-    return elapsed;
-  }
-
-  /**
-   * Print elapsed time and stop timer.
-   *
-   * @param str    Additional prefix string to be printed
-   * @param stream PrintStream on which to write output
-   * @return Number of milliseconds elapsed
-   */
-  public long stop(String str, PrintStream stream) {
-    this.report(str, stream);
-    return this.stop();
-  }
-
-  /**
-   * Print elapsed time to <code>System.err</code> and stop timer.
-   *
-   * @param str Additional prefix string to be printed
-   * @return Number of milliseconds elapsed
-   */
-  public long stop(String str) {
-    return stop(str, System.err);
-  }
-
-  /**
-   * Print elapsed time and stop timer.
-   *
-   * @param str    Additional prefix string to be printed
-   * @param writer PrintWriter on which to write output
-   * @return Number of milliseconds elapsed
-   */
-  public long stop(String str, PrintWriter writer) {
-    this.report(str, writer);
-    return this.stop();
-  }
-
-  // startTime ======================================================
-
-  /**
-   * Start (static) timer.
-   */
-  public static void startTime() {
-    startTime = System.currentTimeMillis();
-  }
-
-  // endTime ========================================================
-
-  /**
-   * Return elapsed time on (static) timer (without stopping timer).
-   *
-   * @return Number of milliseconds elapsed
-   */
-  public static long endTime() {
-    return System.currentTimeMillis() - startTime;
-  }
-
-  /**
-   * Print elapsed time on (static) timer (without stopping timer).
-   *
-   * @param str    Additional prefix string to be printed
-   * @param stream PrintStream on which to write output
-   * @return Number of milliseconds elapsed
-   */
-  public static long endTime(String str, PrintStream stream) {
-    long elapsed = endTime();
-    stream.println(str + " Time elapsed: " + (elapsed) + " ms");
-    return elapsed;
-  }
-
-  /**
-   * Print elapsed time on (static) timer to
-   * <code>System.err</code> (without stopping timer).
-   *
-   * @param str Additional prefix string to be printed
-   * @return Number of milliseconds elapsed
-   */
-  public static long endTime(String str) {
-    return endTime(str, System.err);
-  }
-
-  // chris' new preferred methods 2006 for loading things etc.
-
-
-  /** Print the start of timing message to stderr and start the timer. */
-  public void doing(String str) {
-    System.err.print(str);
-    System.err.print(" ... ");
-    System.err.flush();
-    start();
-  }
-
-  /** Finish the line from startDoing with the end of the timing done message
-   *  and elapsed time in x.y seconds.
-   */
-  public void done() {
-    System.err.println("done [" + toSecondsString() + " sec].");
-  }
-
-  /** Give a line saying that something is " done".
-   */
-  public void done(String msg) {
-    System.err.println(msg + " done [" + toSecondsString() + " sec].");
-  }
-
-  /** Print the start of timing message to stderr and start the timer. */
-  public static void startDoing(String str) {
-    System.err.print(str);
-    System.err.print(" ... ");
-    System.err.flush();
-    startTime();
-  }
-
-  /** Finish the line from startDoing with the end of the timing done message
-   *  and elapsed time in x.y seconds.
-   */
-  public static void endDoing() {
-    long elapsed = System.currentTimeMillis() - startTime;
-    System.err.println("done [" + nf.format(((double) elapsed) / 1000) + 
-                       " sec].");
-  }
-
-  /** Finish the line from startDoing with the end of the timing done message
-   *  and elapsed time in x.y seconds.
-   */
-  public static void endDoing(String msg) {
-    long elapsed = System.currentTimeMillis() - startTime;
-    System.err.println(msg + " done [" + nf.format(((double) elapsed) / 1000) +
-                       " sec].");
-  }
-
-  // tick ===========================================================
-
-  /**
-   * Restart (static) timer.
-   *
-   * @return Number of milliseconds elapsed
-   */
-  public static long tick() {
-    long elapsed = System.currentTimeMillis() - startTime;
-    startTime();
-    return elapsed;
-  }
-
-  /**
-   * Print elapsed time and restart (static) timer.
-   *
-   * @param str    Additional prefix string to be printed
-   * @param stream PrintStream on which to write output
-   * @return Number of milliseconds elapsed
-   */
-  public static long tick(String str, PrintStream stream) {
-    long elapsed = tick();
-    stream.println(str + " Time elapsed: " + (elapsed) + " ms");
-    return elapsed;
-  }
-
-  /**
-   * Print elapsed time to <code>System.err</code> and restart (static) timer.
-   *
-   * @param str Additional prefix string to be printed
-   * @return Number of milliseconds elapsed
-   */
-  public static long tick(String str) {
-    return tick(str, System.err);
-  }
-
-  // import java.util.Calendar;
-  // import java.util.TimeZone;
-
-  // // Calendar cal = Calendar.getInstance(TimeZone.getTimeZone("EST"));
-  //  Calendar cal = Calendar.getInstance(TimeZone.getDefault());
-  //  String DATE_FORMAT = "yyyy-MM-dd HH:mm:ss";
-  //  java.text.SimpleDateFormat sdf = new java.text.SimpleDateFormat(DATE_FORMAT);
-  // // sdf.setTimeZone(TimeZone.getTimeZone("EST"));
-  // sdf.setTimeZone(TimeZone.getDefault());
-  // System.out.println("Now : " + sdf.format(cal.getTime()));
-
-  @Override
-  public String toString() {
-    return "Timing[start=" + startTime + "]";
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Triple.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Triple.java
deleted file mode 100644
index 2d90d26..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/Triple.java
+++ /dev/null
@@ -1,91 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.Serializable;
-
-/**
- * Class representing an ordered triple of objects, possibly typed.
- * Useful when you'd like a method to return three objects, or would like to put
- * triples of objects in a Collection or Map. equals() and hashcode() should
- * work properly.
- *
- * @author Teg Grenager (grenager@stanford.edu)
- */
-public class Triple<T1, T2, T3> implements Serializable {
-
-  private static final long serialVersionUID = -4182871682751645440L;
-  public T1 first;
-  public T2 second;
-  public T3 third;
-
-  public Triple(T1 first, T2 second, T3 third) {
-    this.first = first;
-    this.second = second;
-    this.third = third;
-  }
-
-  public T1 first() {
-    return first;
-  }
-
-  public T2 second() {
-    return second;
-  }
-
-  public T3 third() {
-    return third;
-  }
-
-  public void setFirst(T1 o) {
-    first = o;
-  }
-
-  public void setSecond(T2 o) {
-    second = o;
-  }
-
-  public void setThird(T3 o) {
-    third = o;
-  }
-
-  @SuppressWarnings("unchecked")
-  @Override
-  public boolean equals(Object o) {
-
-    if (this == o) {
-      return true;
-    }
-
-    if (!(o instanceof Triple)) {
-      return false;
-    }
-
-    final Triple triple = (Triple) o;
-
-    if (first != null ? !first.equals(triple.first) : triple.first != null) {
-      return false;
-    }
-    if (second != null ? !second.equals(triple.second) : triple.second != null) {
-      return false;
-    }
-    if (third != null ? !third.equals(triple.third) : triple.third != null) {
-      return false;
-    }
-
-    return true;
-  }
-
-  @Override
-  public int hashCode() {
-    int result;
-    result = (first != null ? first.hashCode() : 0);
-    result = 29 * result + (second != null ? second.hashCode() : 0);
-    result = 29 * result + (third != null ? third.hashCode() : 0);
-    return result;
-  }
-
-  @Override
-  public String toString() {
-    return "(" + first + "," + second + "," + third + ")";
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/TypesafeMap.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/TypesafeMap.java
deleted file mode 100644
index 1890058..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/TypesafeMap.java
+++ /dev/null
@@ -1,79 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.util.Set;
-
-/**
- * Type signature for a class that supports the basic operations required
- * of a typesafe heterogeneous map.
- *
- * @param <BASE> A type-checking parameter that ensures that all keys
- * given to get, has, set, etc., are appropriate for this particular
- * TypesafeMap.
- *
- * @author dramage
- */
-public interface TypesafeMap<BASE> {
-
-  /**
-   * Base type of keys for the map.  The classes that implement Key are
-   * the keys themselves - not instances of those classes.
-   *
-   * @param <BASE> A type-checking parameter that ensures that keys sent
-   * to get, has, set, etc., are appropriate for the TypesafeMap they are
-   * sent to.
-   *
-   * @param <VALUE> The type of the value associated with this key.
-   */
-  public interface Key<BASE,VALUE> { }
-
-  /**
-   * Returns true if the map contains the given key.
-   */
-  public <VALUE, KEY extends Key<BASE,VALUE>>
-    boolean has(Class<KEY> key);
-
-  /**
-   * Returns the value associated with the given key or null if
-   * none is provided.
-   */
-  public <VALUE, KEY extends Key<BASE,VALUE>>
-    VALUE get(Class<KEY> key);
-
-  /**
-   * Associates the given value with the given type for future calls
-   * to get.  Returns the value removed or null if no value was present.
-   */
-  public <VALUEBASE, VALUE extends VALUEBASE, KEY extends Key<BASE,VALUEBASE>>
-    VALUE set(Class<KEY> key, VALUE value);
-
-  /**
-   * Removes the given key from the map, returning the value removed.
-   */
-  public <VALUE, KEY extends Key<BASE,VALUE>>
-    VALUE remove(Class<KEY> key);
-
-  /**
-   * Collection of keys currently held in this map.  Some implementations may
-   * have the returned set be immutable.
-   *
-   * As of Java 1.6 Java's generics type inference is broken enough that
-   * the proper signature for this method -
-   * Set&lt;Class&lt;? extends Key&lt;BASE,?&gt;&gt;&gt; - cannot be
-   * implemented by subclasses, so the return signature is not typed
-   * as strongly as it could be.
-   */
-  public Set<Class<?>> keySet();
-
-  /**
-   * Returns true if contains the given key.
-   */
-  // todo: shouldn't CoreMap below really be BASE???
-  public <VALUE, KEY extends Key<CoreMap, VALUE>>
-    boolean containsKey(Class<KEY> key);
-
-  /**
-   * Returns the number of keys in the map.
-   */
-  public int size();
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/XMLUtils.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/XMLUtils.java
deleted file mode 100644
index 59febc4..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/XMLUtils.java
+++ /dev/null
@@ -1,987 +0,0 @@
-package edu.stanford.nlp.util;
-
-import java.io.File;
-import java.io.FileReader;
-import java.io.IOException;
-import java.io.Reader;
-import java.io.StringReader;
-import java.util.Arrays;
-import java.util.HashMap;
-import java.util.HashSet;
-import java.util.List;
-import java.util.Map;
-import java.util.Set;
-import java.util.regex.Matcher;
-import java.util.regex.Pattern;
-
-import javax.xml.XMLConstants;
-import javax.xml.parsers.DocumentBuilderFactory;
-import javax.xml.parsers.DocumentBuilder;
-import javax.xml.parsers.ParserConfigurationException;
-import javax.xml.validation.Schema;
-import javax.xml.validation.SchemaFactory;
-
-import org.w3c.dom.Document;
-import org.xml.sax.InputSource;
-import org.xml.sax.ErrorHandler;
-import org.xml.sax.SAXException;
-import org.xml.sax.SAXParseException;
-
-import edu.stanford.nlp.io.IOUtils;
-
-/**
- * Provides some utilities for dealing with XML files, both by properly
- * parsing them and by using the methods of a desperate Perl hacker.
- *
- * @author Teg Grenager
- */
-public class XMLUtils {
-
-  private XMLUtils() {} // only static methods
-
-  /**
-   * Returns a non-validating XML parser. The parser ignores both DTDs and XSDs.
-   *
-   * @return An XML parser in the form of a DocumentBuilder
-   */
-  public static DocumentBuilder getXmlParser() {
-    DocumentBuilder db = null;
-    try {
-      DocumentBuilderFactory dbf = DocumentBuilderFactory.newInstance();
-      dbf.setValidating(false);
-
-      //Disable DTD loading and validation
-      //See http://stackoverflow.com/questions/155101/make-documentbuilder-parse-ignore-dtd-references
-      dbf.setFeature("http://apache.org/xml/features/nonvalidating/load-dtd-grammar", false);
-      dbf.setFeature("http://apache.org/xml/features/nonvalidating/load-external-dtd", false);
-
-      db = dbf.newDocumentBuilder();
-      db.setErrorHandler(new SAXErrorHandler());
-
-    } catch (ParserConfigurationException e) {
-      System.err.printf("%s: Unable to create XML parser\n", XMLUtils.class.getName());
-      e.printStackTrace();
-
-    } catch(UnsupportedOperationException e) {
-      System.err.printf("%s: API error while setting up XML parser. Check your JAXP version\n", XMLUtils.class.getName());
-      e.printStackTrace();
-    }
-
-    return db;
-  }
-
-  /**
-   * Returns a validating XML parser given an XSD (not DTD!).
-   *
-   * @param schemaFile
-   * @return An XML parser in the form of a DocumentBuilder
-   */
-  public static DocumentBuilder getValidatingXmlParser(File schemaFile) {
-    DocumentBuilder db = null;
-    try {
-      DocumentBuilderFactory dbf = DocumentBuilderFactory.newInstance();
-
-      SchemaFactory factory = SchemaFactory.newInstance(XMLConstants.W3C_XML_SCHEMA_NS_URI);
-      Schema schema = factory.newSchema(schemaFile);
-      dbf.setSchema(schema);
-
-      db = dbf.newDocumentBuilder();
-      db.setErrorHandler(new SAXErrorHandler());
-
-    } catch (ParserConfigurationException e) {
-      System.err.printf("%s: Unable to create XML parser\n", XMLUtils.class.getName());
-      e.printStackTrace();
-
-    } catch (SAXException e) {
-      System.err.printf("%s: XML parsing exception while loading schema %s\n", XMLUtils.class.getName(),schemaFile.getPath());
-      e.printStackTrace();
-
-    } catch(UnsupportedOperationException e) {
-      System.err.printf("%s: API error while setting up XML parser. Check your JAXP version\n", XMLUtils.class.getName());
-      e.printStackTrace();
-    }
-
-    return db;
-  }
-
-  /**
-   * Block-level HTML tags that are rendered with surrounding line breaks.
-   */
-  public static final Set<String> breakingTags = new HashSet<String>(Arrays.asList(new String[] {"blockquote", "br", "div", "h1", "h2", "h3", "h4", "h5", "h6", "hr", "li", "ol", "p", "pre", "ul", "tr", "td"}));
-
-  /**
-   * @param r       the reader to read the XML/HTML from
-   * @param mapBack a List of Integers mapping the positions in the result buffer
-   *                to positions in the original Reader, will be cleared on receipt
-   * @return the String containing the resulting text
-   */
-  public static String stripTags(Reader r, List<Integer> mapBack, boolean markLineBreaks) {
-    if (mapBack != null) {
-      mapBack.clear(); // just in case it has something in it!
-    }
-    StringBuilder result = new StringBuilder();
-    String text;
-    String tag;
-    int position = 0;
-    try {
-      do {
-        text = XMLUtils.readUntilTag(r); // will do nothing if the next thing is a tag
-        if (text.length() > 0) {
-          // add offsets to the map back
-          for (int i = 0; i < text.length(); i++) {
-            result.append(text.charAt(i));
-            if (mapBack != null) {
-              mapBack.add(Integer.valueOf(position + i));
-            }
-          }
-          position += text.length();
-        }
-        //        System.out.println(position + " got text: " + text);
-        tag = XMLUtils.readTag(r);
-        if (tag == null) {
-          break;
-        }
-        if (markLineBreaks && XMLUtils.isBreaking(parseTag(tag))) {
-          result.append("\n");
-          if (mapBack != null) {
-            mapBack.add(Integer.valueOf(-position));
-          }
-        }
-        position += tag.length();
-        //        System.out.println(position + " got tag: " + tag);
-      } while (true);
-    } catch (IOException e) {
-      System.err.println("Error reading string");
-      e.printStackTrace();
-    }
-    return result.toString();
-  }
-
-  public static boolean isBreaking(String tag) {
-    return breakingTags.contains(tag);
-  }
-
-  public static boolean isBreaking(XMLTag tag) {
-    return breakingTags.contains(tag.name);
-  }
-
-  /**
-   * Reads all text up to next XML tag and returns it as a String.
-   *
-   * @return the String of the text read, which may be empty.
-   */
-  public static String readUntilTag(Reader r) throws IOException {
-    if (!r.ready()) {
-      return "";
-    }
-    StringBuilder b = new StringBuilder();
-    int c = r.read();
-    while (c >= 0 && c != '<') {
-      b.append((char) c);
-      c = r.read();
-    }
-    return b.toString();
-  }
-
-  /**
-   * @return the new XMLTag object, or null if couldn't be created
-   */
-  public static XMLTag readAndParseTag(Reader r) throws IOException {
-    String s = readTag(r);
-    if (s == null) {
-      return null;
-    }
-    XMLTag ret = null;
-    try {
-      ret = new XMLTag(s);
-    } catch (Exception e) {
-      System.err.println("Failed to handle |" + s + "|");
-    }
-    return ret;
-  }
-
-  // Pattern is reentrant, going by the statement
-  // "many matchers can share the same pattern"
-  // on the Pattern javadoc.  Therefore, this should be
-  // safe as a static final variable.
-  static final Pattern xmlEscapingPattern = Pattern.compile("\\&.+?;");
-
-  public static String unescapeStringForXML(String s) {
-    StringBuilder result = new StringBuilder();
-    Matcher m = xmlEscapingPattern.matcher(s);
-    int end = 0;
-    while (m.find()) {
-      int start = m.start();
-      result.append(s.substring(end, start));
-      end = m.end();
-      result.append(translate(s.substring(start, end)));
-    }
-    result.append(s.substring(end, s.length()));
-    return result.toString();
-  }
-
-  private static char translate(String s) {
-    if (s.equals("&amp;")) {
-      return '&';
-    } else if (s.equals("&lt;") || s.equals("&Lt;")) {
-      return '<';
-    } else if (s.equals("&gt;") || s.equals("&Gt;")) {
-      return '>';
-    } else if (s.equals("&quot;")) {
-      return '\"';
-    } else if (s.equals("&apos;")) {
-      return '\'';
-    } else if (s.equals("&ast;") || s.equals("&sharp;")) {
-      return '-';
-    } else if (s.equals("&equals;")) {
-      return '=';
-    } else if (s.equals("&nbsp;")) {
-      return (char) 0xA0;
-    } else if (s.equals("&iexcl;")) {
-      return (char) 0xA1;
-    } else if (s.equals("&cent;") || s.equals("&shilling;")) {
-      return (char) 0xA2;
-    } else if (s.equals("&pound;")) {
-      return (char) 0xA3;
-    } else if (s.equals("&curren;")) {
-      return (char) 0xA4;
-    } else if (s.equals("&yen;")) {
-      return (char) 0xA5;
-    } else if (s.equals("&brvbar;")) {
-      return (char) 0xA6;
-    } else if (s.equals("&sect;")) {
-      return (char) 0xA7;
-    } else if (s.equals("&uml;")) {
-      return (char) 0xA8;
-    } else if (s.equals("&copy;")) {
-      return (char) 0xA9;
-    } else if (s.equals("&ordf;")) {
-      return (char) 0xAA;
-    } else if (s.equals("&laquo; ")) {
-      return (char) 0xAB;
-    } else if (s.equals("&not;")) {
-      return (char) 0xAC;
-    } else if (s.equals("&shy; ")) {
-      return (char) 0xAD;
-    } else if (s.equals("&reg;")) {
-      return (char) 0xAE;
-    } else if (s.equals("&macr;")) {
-      return (char) 0xAF;
-    } else if (s.equals("&deg;")) {
-      return (char) 0xB0;
-    } else if (s.equals("&plusmn;")) {
-      return (char) 0xB1;
-    } else if (s.equals("&sup2;")) {
-      return (char) 0xB2;
-    } else if (s.equals("&sup3;")) {
-      return (char) 0xB3;
-    } else if (s.equals("&acute;")) {
-      return (char) 0xB4;
-    } else if (s.equals("&micro;")) {
-      return (char) 0xB5;
-    } else if (s.equals("&middot;")) {
-      return (char) 0xB7;
-    } else if (s.equals("&cedil;")) {
-      return (char) 0xB8;
-    } else if (s.equals("&sup1;")) {
-      return (char) 0xB9;
-    } else if (s.equals("&ordm;")) {
-      return (char) 0xBA;
-    } else if (s.equals("&raquo;")) {
-      return (char) 0xBB;
-    } else if (s.equals("&frac14; ")) {
-      return (char) 0xBC;
-    } else if (s.equals("&frac12;")) {
-      return (char) 0xBD;
-    } else if (s.equals("&frac34; ")) {
-      return (char) 0xBE;
-    } else if (s.equals("&iquest;")) {
-      return (char) 0xBF;
-    } else if (s.equals("&Agrave;")) {
-      return (char) 0xC0;
-    } else if (s.equals("&Aacute;")) {
-      return (char) 0xC1;
-    } else if (s.equals("&Acirc;")) {
-      return (char) 0xC2;
-    } else if (s.equals("&Atilde;")) {
-      return (char) 0xC3;
-    } else if (s.equals("&Auml;")) {
-      return (char) 0xC4;
-    } else if (s.equals("&Aring;")) {
-      return (char) 0xC5;
-    } else if (s.equals("&AElig;")) {
-      return (char) 0xC6;
-    } else if (s.equals("&Ccedil;")) {
-      return (char) 0xC7;
-    } else if (s.equals("&Egrave;")) {
-      return (char) 0xC8;
-    } else if (s.equals("&Eacute;")) {
-      return (char) 0xC9;
-    } else if (s.equals("&Ecirc;")) {
-      return (char) 0xCA;
-    } else if (s.equals("&Euml;")) {
-      return (char) 0xCB;
-    } else if (s.equals("&Igrave;")) {
-      return (char) 0xCC;
-    } else if (s.equals("&Iacute;")) {
-      return (char) 0xCD;
-    } else if (s.equals("&Icirc;")) {
-      return (char) 0xCE;
-    } else if (s.equals("&Iuml;")) {
-      return (char) 0xCF;
-    } else if (s.equals("&ETH;")) {
-      return (char) 0xD0;
-    } else if (s.equals("&Ntilde;")) {
-      return (char) 0xD1;
-    } else if (s.equals("&Ograve;")) {
-      return (char) 0xD2;
-    } else if (s.equals("&Oacute;")) {
-      return (char) 0xD3;
-    } else if (s.equals("&Ocirc;")) {
-      return (char) 0xD4;
-    } else if (s.equals("&Otilde;")) {
-      return (char) 0xD5;
-    } else if (s.equals("&Ouml;")) {
-      return (char) 0xD6;
-    } else if (s.equals("&times;")) {
-      return (char) 0xD7;
-    } else if (s.equals("&Oslash;")) {
-      return (char) 0xD8;
-    } else if (s.equals("&Ugrave;")) {
-      return (char) 0xD9;
-    } else if (s.equals("&Uacute;")) {
-      return (char) 0xDA;
-    } else if (s.equals("&Ucirc;")) {
-      return (char) 0xDB;
-    } else if (s.equals("&Uuml;")) {
-      return (char) 0xDC;
-    } else if (s.equals("&Yacute;")) {
-      return (char) 0xDD;
-    } else if (s.equals("&THORN;")) {
-      return (char) 0xDE;
-    } else if (s.equals("&szlig;")) {
-      return (char) 0xDF;
-    } else if (s.equals("&agrave;")) {
-      return (char) 0xE0;
-    } else if (s.equals("&aacute;")) {
-      return (char) 0xE1;
-    } else if (s.equals("&acirc;")) {
-      return (char) 0xE2;
-    } else if (s.equals("&atilde;")) {
-      return (char) 0xE3;
-    } else if (s.equals("&auml;")) {
-      return (char) 0xE4;
-    } else if (s.equals("&aring;")) {
-      return (char) 0xE5;
-    } else if (s.equals("&aelig;")) {
-      return (char) 0xE6;
-    } else if (s.equals("&ccedil;")) {
-      return (char) 0xE7;
-    } else if (s.equals("&egrave;")) {
-      return (char) 0xE8;
-    } else if (s.equals("&eacute;")) {
-      return (char) 0xE9;
-    } else if (s.equals("&ecirc;")) {
-      return (char) 0xEA;
-    } else if (s.equals("&euml; ")) {
-      return (char) 0xEB;
-    } else if (s.equals("&igrave;")) {
-      return (char) 0xEC;
-    } else if (s.equals("&iacute;")) {
-      return (char) 0xED;
-    } else if (s.equals("&icirc;")) {
-      return (char) 0xEE;
-    } else if (s.equals("&iuml;")) {
-      return 0xEF;
-    } else if (s.equals("&eth;")) {
-      return (char) 0xF0;
-    } else if (s.equals("&ntilde;")) {
-      return (char) 0xF1;
-    } else if (s.equals("&ograve;")) {
-      return (char) 0xF2;
-    } else if (s.equals("&oacute;")) {
-      return (char) 0xF3;
-    } else if (s.equals("&ocirc;")) {
-      return (char) 0xF4;
-    } else if (s.equals("&otilde;")) {
-      return (char) 0xF5;
-    } else if (s.equals("&ouml;")) {
-      return (char) 0xF6;
-    } else if (s.equals("&divide;")) {
-      return (char) 0xF7;
-    } else if (s.equals("&oslash;")) {
-      return (char) 0xF8;
-    } else if (s.equals("&ugrave;")) {
-      return (char) 0xF9;
-    } else if (s.equals("&uacute;")) {
-      return (char) 0xFA;
-    } else if (s.equals("&ucirc;")) {
-      return (char) 0xFB;
-    } else if (s.equals("&uuml;")) {
-      return (char) 0xFC;
-    } else if (s.equals("&yacute;")) {
-      return (char) 0xFD;
-    } else if (s.equals("&thorn;")) {
-      return (char) 0xFE;
-    } else if (s.equals("&yuml;")) {
-      return (char) 0xFF;
-    } else if (s.equals("&OElig;")) {
-      return (char) 0x152;
-    } else if (s.equals("&oelig;")) {
-      return (char) 0x153;
-    } else if (s.equals("&Scaron;")) {
-      return (char) 0x160;
-    } else if (s.equals("&scaron;")) {
-      return (char) 0x161;
-    } else if (s.equals("&Yuml;")) {
-      return (char) 0x178;
-    } else if (s.equals("&circ;")) {
-      return (char) 0x2C6;
-    } else if (s.equals("&tilde;")) {
-      return (char) 0x2DC;
-    } else if (s.equals("&lrm;")) {
-      return (char) 0x200E;
-    } else if (s.equals("&rlm;")) {
-      return (char) 0x200F;
-    } else if (s.equals("&ndash;")) {
-      return (char) 0x2013;
-    } else if (s.equals("&mdash;")) {
-      return (char) 0x2014;
-    } else if (s.equals("&lsquo;")) {
-      return (char) 0x2018;
-    } else if (s.equals("&rsquo;")) {
-      return (char) 0x2019;
-    } else if (s.equals("&sbquo;")) {
-      return (char) 0x201A;
-    } else if (s.equals("&ldquo;") || s.equals("&bquo;") || s.equals("&bq;")) {
-      return (char) 0x201C;
-    } else if (s.equals("&rdquo;") || s.equals("&equo;")) {
-      return (char) 0X201D;
-    } else if (s.equals("&bdquo;")) {
-      return (char) 0x201E;
-    } else if (s.equals("&sim;")) {
-      return (char) 0x223C;
-    } else if (s.equals("&radic;")) {
-      return (char) 0x221A;
-    } else if (s.equals("&le;")) {
-      return (char) 0x2264;
-    } else if (s.equals("&ge;")) {
-      return (char) 0x2265;
-    } else if (s.equals("&larr;")) {
-      return (char) 0x2190;
-    } else if (s.equals("&darr;")) {
-      return (char) 0x2193;
-    } else if (s.equals("&rarr;")) {
-      return (char) 0x2192;
-    } else if (s.equals("&hellip;")) {
-      return (char) 0x2026;
-    } else if (s.equals("&prime;")) {
-      return (char) 0x2032;
-    } else if (s.equals("&Prime;") || s.equals("&ins;")) {
-      return (char) 0x2033;
-    } else if (s.equals("&trade;")) {
-      return (char) 0x2122;
-    } else if (s.equals("&Alpha;") || s.equals("&Agr;")) {
-      return (char) 0x391;
-    } else if (s.equals("&Beta;") || s.equals("&Bgr;")) {
-      return (char) 0x392;
-    } else if (s.equals("&Gamma;") || s.equals("&Ggr;")) {
-      return (char) 0x393;
-    } else if (s.equals("&Delta;") || s.equals("&Dgr;")) {
-      return (char) 0x394;
-    } else if (s.equals("&Epsilon;") || s.equals("&Egr;")) {
-      return (char) 0x395;
-    } else if (s.equals("&Zeta;") || s.equals("&Zgr;")) {
-      return (char) 0x396;
-    } else if (s.equals("&Eta;")) {
-      return (char) 0x397;
-    } else if (s.equals("&Theta;") || s.equals("&THgr;")) {
-      return (char) 0x398;
-    } else if (s.equals("&Iota;") || s.equals("&Igr;")) {
-      return (char) 0x399;
-    } else if (s.equals("&Kappa;") || s.equals("&Kgr;")) {
-      return (char) 0x39A;
-    } else if (s.equals("&Lambda;") || s.equals("&Lgr;")) {
-      return (char) 0x39B;
-    } else if (s.equals("&Mu;") || s.equals("&Mgr;")) {
-      return (char) 0x39C;
-    } else if (s.equals("&Nu;") || s.equals("&Ngr;")) {
-      return (char) 0x39D;
-    } else if (s.equals("&Xi;") || s.equals("&Xgr;")) {
-      return (char) 0x39E;
-    } else if (s.equals("&Omicron;") || s.equals("&Ogr;")) {
-      return (char) 0x39F;
-    } else if (s.equals("&Pi;") || s.equals("&Pgr;")) {
-      return (char) 0x3A0;
-    } else if (s.equals("&Rho;") || s.equals("&Rgr;")) {
-      return (char) 0x3A1;
-    } else if (s.equals("&Sigma;") || s.equals("&Sgr;")) {
-      return (char) 0x3A3;
-    } else if (s.equals("&Tau;") || s.equals("&Tgr;")) {
-      return (char) 0x3A4;
-    } else if (s.equals("&Upsilon;") || s.equals("&Ugr;")) {
-      return (char) 0x3A5;
-    } else if (s.equals("&Phi;") || s.equals("&PHgr;")) {
-      return (char) 0x3A6;
-    } else if (s.equals("&Chi;") || s.equals("&KHgr;")) {
-      return (char) 0x3A7;
-    } else if (s.equals("&Psi;") || s.equals("&PSgr;")) {
-      return (char) 0x3A8;
-    } else if (s.equals("&Omega;") || s.equals("&OHgr;")) {
-      return (char) 0x3A9;
-    } else if (s.equals("&alpha;") || s.equals("&agr;")) {
-      return (char) 0x3B1;
-    } else if (s.equals("&beta;") || s.equals("&bgr;")) {
-      return (char) 0x3B2;
-    } else if (s.equals("&gamma;") || s.equals("&ggr;")) {
-      return (char) 0x3B3;
-    } else if (s.equals("&delta;") || s.equals("&dgr;")) {
-      return (char) 0x3B4;
-    } else if (s.equals("&epsilon;") || s.equals("&egr;")) {
-      return (char) 0x3B5;
-    } else if (s.equals("&zeta;") || s.equals("&zgr;")) {
-      return (char) 0x3B6;
-    } else if (s.equals("&eta;") || s.equals("&eegr;")) {
-      return (char) 0x3B7;
-    } else if (s.equals("&theta;") || s.equals("&thgr;")) {
-      return (char) 0x3B8;
-    } else if (s.equals("&iota;") || s.equals("&igr;")) {
-      return (char) 0x3B9;
-    } else if (s.equals("&kappa;") || s.equals("&kgr;")) {
-      return (char) 0x3BA;
-    } else if (s.equals("&lambda;") || s.equals("&lgr;")) {
-      return (char) 0x3BB;
-    } else if (s.equals("&mu;") || s.equals("&mgr;")) {
-      return (char) 0x3BC;
-    } else if (s.equals("&nu;") || s.equals("&ngr;")) {
-      return (char) 0x3BD;
-    } else if (s.equals("&xi;") || s.equals("&xgr;")) {
-      return (char) 0x3BE;
-    } else if (s.equals("&omicron;") || s.equals("&ogr;")) {
-      return (char) 0x3BF;
-    } else if (s.equals("&pi;") || s.equals("&pgr;")) {
-      return (char) 0x3C0;
-    } else if (s.equals("&rho;") || s.equals("&rgr;")) {
-      return (char) 0x3C1;
-    } else if (s.equals("&sigma;") || s.equals("&sgr;")) {
-      return (char) 0x3C3;
-    } else if (s.equals("&tau;") || s.equals("&tgr;")) {
-      return (char) 0x3C4;
-    } else if (s.equals("&upsilon;") || s.equals("&ugr;")) {
-      return (char) 0x3C5;
-    } else if (s.equals("&phi;") || s.equals("&phgr;")) {
-      return (char) 0x3C6;
-    } else if (s.equals("&chi;") || s.equals("&khgr;")) {
-      return (char) 0x3C7;
-    } else if (s.equals("&psi;") || s.equals("&psgr;")) {
-      return (char) 0x3C8;
-    } else if (s.equals("&omega;") || s.equals("&ohgr;")) {
-      return (char) 0x3C9;
-    } else if (s.equals("&bull;")) {
-      return (char) 0x2022;
-    } else if (s.equals("&percnt;")) {
-      return '%';
-    } else if (s.equals("&plus;")) {
-      return '+';
-    } else if (s.equals("&dash;")) {
-      return '-';
-    } else if (s.equals("&abreve;") || s.equals("&amacr;") || s.equals("&ape;") || s.equals("&aogon;") || s.equals("&aring;")) {
-      return 'a';
-    } else if (s.equals("&Amacr;")) {
-      return 'A';
-    } else if (s.equals("&cacute;") || s.equals("&ccaron;") || s.equals("&ccirc;")) {
-      return 'c';
-    } else if (s.equals("&Ccaron;")) {
-      return 'C';
-    } else if (s.equals("&dcaron;")) {
-      return 'd';
-    } else if (s.equals("&ecaron;") || s.equals("&emacr;") || s.equals("&eogon;")) {
-      return 'e';
-    } else if (s.equals("&Emacr;") || s.equals("&Ecaron;")) {
-      return 'E';
-    } else if (s.equals("&lacute;")) {
-      return 'l';
-    } else if (s.equals("&Lacute;")) {
-      return 'L';
-    } else if (s.equals("&nacute;") || s.equals("&ncaron;") || s.equals("&ncedil;")) {
-      return 'n';
-    } else if (s.equals("&rcaron;") || s.equals("&racute;")) {
-      return 'r';
-    } else if (s.equals("&Rcaron;")) {
-      return 'R';
-    } else if (s.equals("&omacr;")) {
-      return 'o';
-    } else if (s.equals("&imacr;")) {
-      return 'i';
-    } else if (s.equals("&sacute;") || s.equals("&scedil;") || s.equals("&scirc;")) {
-      return 's';
-    } else if (s.equals("&Sacute") || s.equals("&Scedil;")) {
-      return 'S';
-    } else if (s.equals("&tcaron;") || s.equals("&tcedil;")) {
-      return 't';
-    } else if (s.equals("&umacr;") || s.equals("&uring;")) {
-      return 'u';
-    } else if (s.equals("&wcirc;")) {
-      return 'w';
-    } else if (s.equals("&Ycirc;")) {
-      return 'Y';
-    } else if (s.equals("&ycirc;")) {
-      return 'y';
-    } else if (s.equals("&zcaron;") || s.equals("&zacute;")) {
-      return 'z';
-    } else if (s.equals("&Zcaron;")) {
-      return 'Z';
-    } else if (s.equals("&hearts;")) {
-      return (char) 0x2665;
-    } else if (s.equals("&infin;")) {
-      return (char) 0x221E;
-    } else if (s.equals("&dollar;")) {
-      return '$';
-    } else if (s.equals("&sub;") || s.equals("&lcub;")) {
-      return (char) 0x2282;
-    } else if (s.equals("&sup;") || s.equals("&rcub;")) {
-      return (char) 0x2283;
-    } else if (s.equals("&lsqb;")) {
-      return '[';
-    } else if (s.equals("&rsqb;")) {
-      return ']';
-    } else {
-      return ' ';
-    }
-  }
-
-
-  /** Returns a String in which all the XML special characters have been
-   *  escaped. The resulting String is valid to print in an XML file as an
-   *  attribute or element value in all circumstances.  (Note that it may
-   *  escape characters that didn't need to be escaped.)
-   *
-   *  @param in The String to escape
-   *  @return The escaped String
-   */
-  public static String escapeXML(String in) {
-    int leng = in.length();
-    StringBuilder sb = new StringBuilder(leng);
-    for (int i = 0; i < leng; i++) {
-      char c = in.charAt(i);
-      if (c == '&') {
-        sb.append("&amp;");
-      } else if (c == '<') {
-        sb.append("&lt;");
-      } else if (c == '>') {
-        sb.append("&gt;");
-      } else if (c == '"') {
-        sb.append("&quot;");
-      } else if (c == '\'') {
-        sb.append("&apos;");
-      } else {
-        sb.append(c);
-      }
-    }
-    return sb.toString();
-  }
-
-
-  /** Returns a String in which some the XML special characters have been
-   *  escaped: just the ones that need escaping in an element content.
-   *
-   *  @param in The String to escape
-   *  @return The escaped String
-   */
-  public static String escapeElementXML(String in) {
-    int leng = in.length();
-    StringBuilder sb = new StringBuilder(leng);
-    for (int i = 0; i < leng; i++) {
-      char c = in.charAt(i);
-      if (c == '&') {
-        sb.append("&amp;");
-      } else if (c == '<') {
-        sb.append("&lt;");
-      } else if (c == '>') {
-        sb.append("&gt;");
-      } else {
-        sb.append(c);
-      }
-    }
-    return sb.toString();
-  }
-
-
-  /** Returns a String in which some XML special characters have been
-   *  escaped. This just escapes attribute value ones, assuming that
-   *  you're going to quote with double quotes.
-   *  That is, only " and & are escaped.
-   *
-   *  @param in The String to escape
-   *  @return The escaped String
-   */
-  public static String escapeAttributeXML(String in) {
-    int leng = in.length();
-    StringBuilder sb = new StringBuilder(leng);
-    for (int i = 0; i < leng; i++) {
-      char c = in.charAt(i);
-      if (c == '&') {
-        sb.append("&amp;");
-      } else if (c == '"') {
-        sb.append("&quot;");
-      } else {
-        sb.append(c);
-      }
-    }
-    return sb.toString();
-  }
-
-
-  public static String escapeTextAroundXMLTags(String s) {
-    StringBuilder result = new StringBuilder();
-    Reader r = new StringReader(s);
-    try {
-      do {
-        String text = readUntilTag(r);
-        //      System.out.println("got text: " + text);
-        result.append(escapeXML(text));
-        XMLTag tag = readAndParseTag(r);
-        //      System.out.println("got tag: " + tag);
-        if (tag == null) {
-          break;
-        }
-        result.append(tag.toString());
-      } while (true);
-    } catch (IOException e) {
-      System.err.println("Error reading string");
-      e.printStackTrace();
-    }
-    return result.toString();
-  }
-
-  /**
-   * return either the first space or the first nbsp
-   */
-  public static int findSpace(String haystack, int begin) {
-    int space = haystack.indexOf(' ');
-    int nbsp = haystack.indexOf('\u00A0');
-    if (space == -1 && nbsp == -1) {
-      return -1;
-    } else if (space >= 0 && nbsp >= 0) {
-      return Math.min(space, nbsp);
-    } else {
-      // eg one is -1, and the other is >= 0
-      return Math.max(space, nbsp);
-    }
-  }
-
-  public static class XMLTag {
-    public String text;
-    public String name;
-    public Map<String,String> attributes;
-    public boolean isEndTag;
-    public boolean isSingleTag;
-
-    /**
-     * Assumes that String contains an XML tag.
-     *
-     * @param tag String to turn into an XMLTag object
-     */
-    public XMLTag(String tag) {
-      if (tag == null || tag.length() == 0) {
-        throw new NullPointerException("Attempted to parse empty/null tag");
-      }
-      if (tag.charAt(0) != '<') {
-        throw new IllegalArgumentException("Tag did not start with <");
-      }
-      if (tag.charAt(tag.length() - 1) != '>') {
-        throw new IllegalArgumentException("Tag did not end with >");
-      }
-      text = tag;
-      int begin = 1;
-      if (tag.charAt(1) == '/') {
-        begin = 2;
-        isEndTag = true;
-      } else {
-        isEndTag = false;
-      }
-      int end = tag.length() - 1;
-      if (tag.charAt(tag.length() - 2) == '/') {
-        end = tag.length() - 2;
-        isSingleTag = true;
-      } else {
-        isSingleTag = false;
-      }
-      tag = tag.substring(begin, end);
-      attributes = new HashMap<String,String>();
-      begin = 0;
-      end = findSpace(tag, 0);
-
-      if (end < 0) {
-        name = tag;
-      } else {
-        name = tag.substring(begin, end);
-        do {
-          begin = end + 1;
-          while (begin < tag.length() && tag.charAt(begin) < 0x21) {
-            begin++; // get rid of leading whitespace
-          }
-          if (begin == tag.length()) {
-            break;
-          }
-          end = tag.indexOf('=', begin);
-          if (end < 0) {
-            String att = tag.substring(begin);
-            attributes.put(att, "");
-            break;
-          }
-          String att = tag.substring(begin, end).trim();
-          begin = end + 1;
-          String value = null;
-          if (tag.length() > begin) {
-            while (begin < tag.length() && tag.charAt(begin) < 0x21) {
-              begin++;
-            }
-            if (begin < tag.length() && tag.charAt(begin) == '\"') {
-              // get quoted expression
-              begin++;
-              end = tag.indexOf('\"', begin);
-              if (end < 0) {
-                break; // this is a problem
-              }
-              value = tag.substring(begin, end);
-              end++;
-            } else {
-              // get unquoted expression
-              end = findSpace(tag, begin);
-              if (end < 0) {
-                end = tag.length();
-              }
-              value = tag.substring(begin, end);
-            }
-          }
-          attributes.put(att, value);
-        } while (end < tag.length() - 3);
-      }
-    }
-
-    public String toString() {
-      return text;
-    }
-  } // end static class XMLTag
-
-
-  /**
-   * Reads all text of the XML tag and returns it as a String.
-   * Assumes that a '<' character has already been read.
-   *
-   * @param r The reader to read from
-   * @return The String representing the tag, or null if one couldn't be read
-   *         (i.e., EOF).  The returned item is a complete tag including angle
-   *         brackets, such as <code>&lt;TXT&gt;</code>
-   */
-  public static String readTag(Reader r) throws IOException {
-    if ( ! r.ready()) {
-      return null;
-    }
-    StringBuilder b = new StringBuilder("<");
-    int c = r.read();
-    while (c >= 0) {
-      b.append((char) c);
-      if (c == '>') {
-        break;
-      }
-      c = r.read();
-    }
-    if (b.length() == 1) {
-      return null;
-    }
-    return b.toString();
-  }
-
-  public static XMLTag parseTag(String tagString) {
-    if (tagString == null || tagString.length() == 0) {
-      return null;
-    }
-    if (tagString.charAt(0) != '<' ||
-        tagString.charAt(tagString.length() - 1) != '>') {
-      return null;
-    }
-    return new XMLTag(tagString);
-  }
-
-  public static Document readDocumentFromFile(String filename)
-    throws Exception
-  {
-    InputSource in = new InputSource(new FileReader(filename));
-    DocumentBuilderFactory factory = DocumentBuilderFactory.newInstance();
-    factory.setNamespaceAware(false);
-    DocumentBuilder db = factory.newDocumentBuilder();
-    db.setErrorHandler(new SAXErrorHandler());
-    return db.parse(in);
-  }
-
-  private static class SAXErrorHandler implements ErrorHandler {
-
-    public static String makeBetterErrorString(String msg,
-                                               SAXParseException ex) {
-      StringBuilder sb = new StringBuilder(msg);
-      sb.append(": ");
-      String str = ex.getMessage();
-      if (str.lastIndexOf(".") == str.length() - 1) {
-        str = str.substring(0, str.length() - 1);
-      }
-      sb.append(str);
-      sb.append(" at document line ").append(ex.getLineNumber());
-      sb.append(", column ").append(ex.getColumnNumber());
-      if (ex.getSystemId() != null) {
-        sb.append(" in entity from systemID ").append(ex.getSystemId());
-      } else if (ex.getPublicId() != null) {
-        sb.append(" in entity from publicID ").append(ex.getPublicId());
-      }
-      sb.append(".");
-      return sb.toString();
-    }
-
-    public void warning(SAXParseException exception) {
-      System.err.println(makeBetterErrorString("Warning", exception));
-    }
-
-    public void error(SAXParseException exception) {
-      System.err.println(makeBetterErrorString("Error", exception));
-    }
-
-    public void fatalError(SAXParseException ex) throws SAXParseException {
-      throw new SAXParseException(makeBetterErrorString("Fatal Error", ex), ex.getPublicId(), ex.getSystemId(), ex.getLineNumber(), ex.getColumnNumber());
-      // throw new RuntimeException(makeBetterErrorString("Fatal Error", ex));
-    }
-
-  } // end class SAXErrorHandler
-
-  public static Document readDocumentFromString(String s) throws Exception {
-    InputSource in = new InputSource(new StringReader(s));
-    DocumentBuilderFactory factory = DocumentBuilderFactory.newInstance();
-    factory.setNamespaceAware(false);
-    return factory.newDocumentBuilder().parse(in);
-  }
-
-  /** Tests a few methods.
-   *  If the first arg is -readDoc then this method tests
-   *  readDocumentFromFile.
-   *  Otherwise, it tests readTag/readUntilTag and slurpFile.
-   */
-  public static void main(String[] args) throws Exception {
-    if (args[0].equals("-readDoc")) {
-      Document doc = readDocumentFromFile(args[1]);
-      System.out.println(doc);
-    } else {
-      String s = IOUtils.slurpFile(args[0]);
-      Reader r = new StringReader(s);
-      String tag = readTag(r);
-      while (tag.length() > 0) {
-        readUntilTag(r);
-        tag = readTag(r);
-        if (tag.length() == 0) {
-          break;
-        }
-        System.out.println("got tag=" + new XMLTag(tag));
-      }
-    }
-  }
-
-}
diff --git a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/concurrent/SynchronizedInterner.java b/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/concurrent/SynchronizedInterner.java
deleted file mode 100644
index 9610f7a..0000000
--- a/stanford-ner-2011-09-14/src/edu/stanford/nlp/util/concurrent/SynchronizedInterner.java
+++ /dev/null
@@ -1,149 +0,0 @@
-package edu.stanford.nlp.util.concurrent;
-
-import java.util.Set;
-
-import edu.stanford.nlp.util.Generics;
-import edu.stanford.nlp.util.Interner;
-
-/**
- * <p>
- * For interning (canonicalizing) things in a multi-threaded environment.
- * </p>
- *
- * <p>
- * Maps any object to a unique interned version which .equals the
- * presented object.  If presented with a new object which has no
- * previous interned version, the presented object becomes the
- * interned version.  You can tell if your object has been chosen as
- * the new unique representative by checking whether o == intern(o).
- * The interners use a concurrent map with weak references, meaning that
- * if the only pointers to an interned item are the interners' backing maps,
- * that item can still be garbage collected.  Since the gc thread can
- * silently remove things from the backing map, there's no public way to
- * get the backing map, but feel free to add one at your own risk.
- * </p>
- * Note that in general it is just as good or better to use the
- * static SynchronizedInterner.globalIntern() method rather than making an
- * instance of SynchronizedInterner and using the instance-level intern().
- * <p/>
- *
- * @author Ilya Sherman
- * @see edu.stanford.nlp.util.Interner
- */
-// TODO would be nice to have this share an interface with Interner
-public class SynchronizedInterner<T> {
-  protected static final Object globalMutex = new Object();
-  protected static SynchronizedInterner<Object> interner =
-     Generics.newSynchronizedInterner(Interner.getGlobal(), globalMutex);
-
-
-  /**
-   * For getting the instance that global methods use.
-   */
-  public static SynchronizedInterner<Object> getGlobal() {
-    synchronized(globalMutex) {
-      return interner;
-    }
-  }
-
-  /**
-   * For supplying a new instance for the global methods to use.
-   *
-   * @return the previous global interner.
-   */
-  public static SynchronizedInterner<Object> setGlobal(Interner<Object> delegate) {
-    synchronized(globalMutex) {
-      SynchronizedInterner<Object> oldInterner = SynchronizedInterner.interner;
-      SynchronizedInterner.interner = Generics.newSynchronizedInterner(delegate);
-      return oldInterner;
-    }
-  }
-
-  /**
-   * Returns a unique object o' that .equals the argument o.  If o
-   * itself is returned, this is the first request for an object
-   * .equals to o.
-   */
-  @SuppressWarnings("unchecked")
-  public static <T> T globalIntern(T o) {
-    synchronized(globalMutex) {
-      return (T) getGlobal().intern(o);
-    }
-  }
-
-
-  protected final Interner<T> delegate;
-  protected final Object mutex;
-
-  public SynchronizedInterner(Interner<T> delegate) {
-    if (delegate == null) throw new NullPointerException();
-    this.delegate = delegate;
-    this.mutex = this;
-  }
-
-  public SynchronizedInterner(Interner<T> delegate, Object mutex) {
-    if (delegate == null) throw new NullPointerException();
-    this.delegate = delegate;
-    this.mutex = mutex;
-  }
-
-  public void clear() {
-    synchronized(mutex) {
-      delegate.clear();
-    }
-  }
-
-  /**
-   * Returns a unique object o' that .equals the argument o.  If o
-   * itself is returned, this is the first request for an object
-   * .equals to o.
-   */
-  public T intern(T o) {
-    synchronized(mutex) {
-      return delegate.intern(o);
-    }
-  }
-
-  /**
-   * Returns a <code>Set</code> such that each element in the returned set
-   * is a unique object e' that .equals the corresponding element e in the
-   * original set.
-   */
-  public Set<T> internAll(Set<T> s) {
-    synchronized(mutex) {
-      return delegate.internAll(s);
-    }
-  }
-
-  public int size() {
-    synchronized(mutex) {
-      return delegate.size();
-    }
-  }
-
-  /**
-   * Test method: interns its arguments and says whether they == themselves.
-   * @throws InterruptedException
-   */
-  public static void main(final String[] args) throws InterruptedException {
-    final Thread[] threads = new Thread[100];
-    for (int i = 0; i < threads.length; i++) {
-      threads[i] = new Thread(new Runnable(){
-        public void run() {
-          for (String str : args) {
-            String interned = SynchronizedInterner.globalIntern(str);
-            Thread.yield();
-            if (interned != str)
-              throw new AssertionError("Interning failed for " + str);
-          }
-        }
-      });
-    }
-    for (Thread thread : threads) {
-      thread.start();
-    }
-    for (Thread thread : threads) {
-      thread.join();
-    }
-  }
-}
\ No newline at end of file
diff --git a/stanford-ner-2011-09-14/stanford-ner-2011-09-14.jar b/stanford-ner-2011-09-14/stanford-ner-2011-09-14.jar
deleted file mode 100644
index fb2292e..0000000
Binary files a/stanford-ner-2011-09-14/stanford-ner-2011-09-14.jar and /dev/null differ
diff --git a/stanford-ner-2011-09-14/stanford-ner-javadoc-2011-09-14.zip b/stanford-ner-2011-09-14/stanford-ner-javadoc-2011-09-14.zip
deleted file mode 100644
index 65e80f7..0000000
Binary files a/stanford-ner-2011-09-14/stanford-ner-javadoc-2011-09-14.zip and /dev/null differ
diff --git a/stanford-ner-2011-09-14/stanford-ner-src-2011-09-14.zip b/stanford-ner-2011-09-14/stanford-ner-src-2011-09-14.zip
deleted file mode 100644
index e7ca11a..0000000
Binary files a/stanford-ner-2011-09-14/stanford-ner-src-2011-09-14.zip and /dev/null differ
diff --git a/stanford-ner-2011-09-14/stanford-ner.jar b/stanford-ner-2011-09-14/stanford-ner.jar
deleted file mode 100644
index fb2292e..0000000
Binary files a/stanford-ner-2011-09-14/stanford-ner.jar and /dev/null differ
diff --git a/stanford-ner-2011-09-14/LICENSE.txt b/stanford-ner-2014-06-16/LICENSE.txt
similarity index 95%
rename from stanford-ner-2011-09-14/LICENSE.txt
rename to stanford-ner-2014-06-16/LICENSE.txt
index 60549be..d159169 100644
--- a/stanford-ner-2011-09-14/LICENSE.txt
+++ b/stanford-ner-2014-06-16/LICENSE.txt
@@ -1,12 +1,12 @@
-		    GNU GENERAL PUBLIC LICENSE
-		       Version 2, June 1991
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 2, June 1991
 
- Copyright (C) 1989, 1991 Free Software Foundation, Inc.
-                       59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
+ Copyright (C) 1989, 1991 Free Software Foundation, Inc.,
+ 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
  Everyone is permitted to copy and distribute verbatim copies
  of this license document, but changing it is not allowed.
 
-			    Preamble
+                            Preamble
 
   The licenses for most software are designed to take away your
 freedom to share and change it.  By contrast, the GNU General Public
@@ -15,7 +15,7 @@ software--to make sure the software is free for all its users.  This
 General Public License applies to most of the Free Software
 Foundation's software and to any other program whose authors commit to
 using it.  (Some other Free Software Foundation software is covered by
-the GNU Library General Public License instead.)  You can apply it to
+the GNU Lesser General Public License instead.)  You can apply it to
 your programs, too.
 
   When we speak of free software, we are referring to freedom, not
@@ -55,8 +55,8 @@ patent must be licensed for everyone's free use or not licensed at all.
 
   The precise terms and conditions for copying, distribution and
 modification follow.
-
-		    GNU GENERAL PUBLIC LICENSE
+
+                    GNU GENERAL PUBLIC LICENSE
    TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION
 
   0. This License applies to any program or other work which contains
@@ -110,7 +110,7 @@ above, provided that you also meet all of these conditions:
     License.  (Exception: if the Program itself is interactive but
     does not normally print such an announcement, your work based on
     the Program is not required to print an announcement.)
-
+
 These requirements apply to the modified work as a whole.  If
 identifiable sections of that work are not derived from the Program,
 and can be reasonably considered independent and separate works in
@@ -168,7 +168,7 @@ access to copy from a designated place, then offering equivalent
 access to copy the source code from the same place counts as
 distribution of the source code, even though third parties are not
 compelled to copy the source along with the object code.
-
+
   4. You may not copy, modify, sublicense, or distribute the Program
 except as expressly provided under this License.  Any attempt
 otherwise to copy, modify, sublicense or distribute the Program is
@@ -225,7 +225,7 @@ impose that choice.
 
 This section is intended to make thoroughly clear what is believed to
 be a consequence of the rest of this License.
-
+
   8. If the distribution and/or use of the Program is restricted in
 certain countries either by patents or by copyrighted interfaces, the
 original copyright holder who places the Program under this License
@@ -255,7 +255,7 @@ make exceptions for this.  Our decision will be guided by the two goals
 of preserving the free status of all derivatives of our free software and
 of promoting the sharing and reuse of software generally.
 
-			    NO WARRANTY
+                            NO WARRANTY
 
   11. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY
 FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW.  EXCEPT WHEN
@@ -277,9 +277,9 @@ YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER
 PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE
 POSSIBILITY OF SUCH DAMAGES.
 
-		     END OF TERMS AND CONDITIONS
-
-	    How to Apply These Terms to Your New Programs
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
 
   If you develop a new program, and you want it to be of the greatest
 possible use to the public, the best way to achieve this is to make it
@@ -291,7 +291,7 @@ convey the exclusion of warranty; and each file should have at least
 the "copyright" line and a pointer to where the full notice is found.
 
     <one line to give the program's name and a brief idea of what it does.>
-    Copyright (C) 19yy  <name of author>
+    Copyright (C) <year>  <name of author>
 
     This program is free software; you can redistribute it and/or modify
     it under the terms of the GNU General Public License as published by
@@ -303,17 +303,16 @@ the "copyright" line and a pointer to where the full notice is found.
     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
     GNU General Public License for more details.
 
-    You should have received a copy of the GNU General Public License
-    along with this program; if not, write to the Free Software
-    Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
-
+    You should have received a copy of the GNU General Public License along
+    with this program; if not, write to the Free Software Foundation, Inc.,
+    51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
 
 Also add information on how to contact you by electronic and paper mail.
 
 If the program is interactive, make it output a short notice like this
 when it starts in an interactive mode:
 
-    Gnomovision version 69, Copyright (C) 19yy name of author
+    Gnomovision version 69, Copyright (C) year name of author
     Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
     This is free software, and you are welcome to redistribute it
     under certain conditions; type `show c' for details.
@@ -336,5 +335,5 @@ necessary.  Here is a sample; alter the names:
 This General Public License does not permit incorporating your program into
 proprietary programs.  If your program is a subroutine library, you may
 consider it more useful to permit linking proprietary applications with the
-library.  If this is what you want to do, use the GNU Library General
+library.  If this is what you want to do, use the GNU Lesser General
 Public License instead of this License.
diff --git a/stanford-ner-2014-06-16/NERDemo.java b/stanford-ner-2014-06-16/NERDemo.java
new file mode 100644
index 0000000..5bd7d26
--- /dev/null
+++ b/stanford-ner-2014-06-16/NERDemo.java
@@ -0,0 +1,105 @@
+import edu.stanford.nlp.ie.AbstractSequenceClassifier;
+import edu.stanford.nlp.ie.crf.*;
+import edu.stanford.nlp.io.IOUtils;
+import edu.stanford.nlp.ling.CoreLabel;
+import edu.stanford.nlp.ling.CoreAnnotations;
+
+import java.util.List;
+
+
+/** This is a demo of calling CRFClassifier programmatically.
+ *  <p>
+ *  Usage: {@code java -mx400m -cp "stanford-ner.jar:." NERDemo [serializedClassifier [fileName]] }
+ *  <p>
+ *  If arguments aren't specified, they default to
+ *  classifiers/english.all.3class.distsim.crf.ser.gz and some hardcoded sample text.
+ *  <p>
+ *  To use CRFClassifier from the command line:
+ *  </p><blockquote>
+ *  {@code java -mx400m edu.stanford.nlp.ie.crf.CRFClassifier -loadClassifier [classifier] -textFile [file] }
+ *  </blockquote><p>
+ *  Or if the file is already tokenized and one word per line, perhaps in
+ *  a tab-separated value format with extra columns for part-of-speech tag,
+ *  etc., use the version below (note the 's' instead of the 'x'):
+ *  </p><blockquote>
+ *  {@code java -mx400m edu.stanford.nlp.ie.crf.CRFClassifier -loadClassifier [classifier] -testFile [file] }
+ *  </blockquote>
+ *
+ *  @author Jenny Finkel
+ *  @author Christopher Manning
+ */
+
+public class NERDemo {
+
+  public static void main(String[] args) throws Exception {
+
+    String serializedClassifier = "classifiers/english.all.3class.distsim.crf.ser.gz";
+
+    if (args.length > 0) {
+      serializedClassifier = args[0];
+    }
+
+    AbstractSequenceClassifier<CoreLabel> classifier = CRFClassifier.getClassifier(serializedClassifier);
+
+    /* For either a file to annotate or for the hardcoded text example,
+       this demo file shows two ways to process the output, for teaching
+       purposes.  For the file, it shows both how to run NER on a String
+       and how to run it on a whole file.  For the hard-coded String,
+       it shows how to run it on a single sentence, and how to do this
+       and produce an inline XML output format.
+    */
+    if (args.length > 1) {
+      String fileContents = IOUtils.slurpFile(args[1]);
+      List<List<CoreLabel>> out = classifier.classify(fileContents);
+      for (List<CoreLabel> sentence : out) {
+        for (CoreLabel word : sentence) {
+          System.out.print(word.word() + '/' + word.get(CoreAnnotations.AnswerAnnotation.class) + ' ');
+        }
+        System.out.println();
+      }
+      System.out.println("---");
+      out = classifier.classifyFile(args[1]);
+      for (List<CoreLabel> sentence : out) {
+        for (CoreLabel word : sentence) {
+          System.out.print(word.word() + '/' + word.get(CoreAnnotations.AnswerAnnotation.class) + ' ');
+        }
+        System.out.println();
+      }
+
+    } else {
+      String[] example = {"Good afternoon Rajat Raina, how are you today?",
+                          "I go to school at Stanford University, which is located in California." };
+      for (String str : example) {
+        System.out.println(classifier.classifyToString(str));
+      }
+      System.out.println("---");
+
+      for (String str : example) {
+        // This one puts in spaces and newlines between tokens, so just print not println.
+        System.out.print(classifier.classifyToString(str, "slashTags", false));
+      }
+      System.out.println("---");
+
+      for (String str : example) {
+        System.out.println(classifier.classifyWithInlineXML(str));
+      }
+      System.out.println("---");
+
+      for (String str : example) {
+        System.out.println(classifier.classifyToString(str, "xml", true));
+      }
+      System.out.println("---");
+
+      int i=0;
+      for (String str : example) {
+        for (List<CoreLabel> lcl : classifier.classify(str)) {
+          for (CoreLabel cl : lcl) {
+            System.out.print(i++ + ": ");
+            System.out.println(cl.toShorterString());
+          }
+        }
+      }
+    }
+  }
+
+}
diff --git a/stanford-ner-2011-09-14/README.txt b/stanford-ner-2014-06-16/README.txt
old mode 100755
new mode 100644
similarity index 72%
rename from stanford-ner-2011-09-14/README.txt
rename to stanford-ner-2014-06-16/README.txt
index 4ca9154..b829d74
--- a/stanford-ner-2011-09-14/README.txt
+++ b/stanford-ner-2014-06-16/README.txt
@@ -1,11 +1,11 @@
-Stanford NER - September 2011
+Stanford NER - v3.4 - 2014-06-16
 ----------------------------------------------
 
 This package provides a high-performance machine learning based named
 entity recognition system, including facilities to train models from
 supervised training data and pre-trained models for English.
 
-(c) 2002-2011.  The Board of Trustees of The Leland
+(c) 2002-2012.  The Board of Trustees of The Leland
     Stanford Junior University. All Rights Reserved. 
 
 Original CRF code by Jenny Finkel.
@@ -42,24 +42,36 @@ INCLUDED SERIALIZED MODELS / TRAINING DATA
 
 The basic included serialized model is a 3 class NER tagger that can
 label: PERSON, ORGANIZATION, and LOCATION entities.  It is included as
-ner-eng-ie.crf-3-all2008.ser.gz and within the jar file.  It is trained
-on data from CoNLL, MUC6, MUC7, and ACE.  Because this model is trained
-on both US and UK newswire, it is fairly robust across the two domains.
+english.all.3class.distsim.crf.ser.gz.  It is trained on data from
+CoNLL, MUC6, MUC7, and ACE.  Because this model is trained on both US
+and UK newswire, it is fairly robust across the two domains.
 
 We have also included a 4 class NER tagger trained on the CoNLL 2003
 Shared Task training data that labels for PERSON, ORGANIZATION,
-LOCATION, and MISC.  It is named ner-eng-ie.crf-4-conll.ser.gz .
+LOCATION, and MISC.  It is named
+english.conll.4class.caseless.distsim.crf.ser.gz .
+
+A third model is trained only on data from MUC and distinguishes
+between 7 different classes,
+english.muc.7class.caseless.distsim.crf.ser.gz.
 
 All of the serialized classifiers come in two versions, the second of
 which uses a distributional similarity lexicon to improve performance
 (by about 1.5% F-measure).  These classifiers have additional features
 which make them perform substantially better, but they require rather
-more memory.  
+more memory.  The distsim models are included in the release package,
+and nodistsim versions of the same models are available on the
+Stanford NER webpage.
+
+There are also case-insensitive versions of the three models available
+on the webpage.
+
+Finally, a package with two German models is also available for download.
 
 
 QUICKSTART INSTRUCTIONS
 
-This NER system requires Java 1.5 or later.   We have only tested it on
+This NER system requires Java 1.6 or later.   We have only tested it on
 the SUN JVM.
 
 Providing java is on your PATH, you should just be able to run an NER
@@ -147,3 +159,47 @@ ner-eng-ie.crf-3-all2006-distsim.ser.gz (older version of ner-eng-ie.crf-3-all20
 Memory: 320MB (on a 32 bit machine)
 PERSON	ORGANIZATION	LOCATION
 91.88	82.91		88.21
+
+
+--------------------
+CHANGES
+--------------------
+
+2014-06-16      3.4     Fix serialization bug 
+
+2014-01-04    3.3.1     Bugfix release 
+
+2013-11-12    3.3.0     Update for compatibility 
+
+2013-11-12    3.3.0     Update for compatibility 
+
+2013-06-19    3.2.0     Improve handling of line-by-line input 
+
+2013-04-04    1.2.8     nthreads option 
+
+2012-11-11    1.2.7     Improved English 3 class model by including 
+                        data from Wikipedia, release Chinese model 
+
+2012-07-09    1.2.6     Minor bug fixes 
+
+2012-05-22    1.2.5     Fix encoding issue
+
+2012-04-07    1.2.4     Caseless version of English models supported
+
+2012-01-06    1.2.3     Minor bug fixes
+
+2011-09-14    1.2.2     Improved thread safety
+
+2011-06-19    1.2.1     Models reduced in size but on average improved 
+                        in accuracy (improved distsim clusters)
+
+2011-05-16      1.2     Normal download includes 3, 4, and 7 
+                        class models. Updated for compatibility 
+                        with other software releases.
+
+2009-01-16    1.1.1     Minor bug and usability fixes, changed API
+
+2008-05-07      1.1     Additional feature flags, various code updates
+
+2006-09-18      1.0     Initial release
+
diff --git a/stanford-ner-2011-09-14/build.xml b/stanford-ner-2014-06-16/build.xml
similarity index 96%
rename from stanford-ner-2011-09-14/build.xml
rename to stanford-ner-2014-06-16/build.xml
index 2b89b0a..57ad755 100644
--- a/stanford-ner-2011-09-14/build.xml
+++ b/stanford-ner-2014-06-16/build.xml
@@ -39,8 +39,8 @@
   <property name="compile.debug"       value="true"/>
   <property name="compile.deprecation" value="false"/>
   <property name="compile.optimize"    value="true"/>
-  <property name="compile.source"      value="1.5" />
-  <property name="compile.target"      value="1.5" />
+  <property name="compile.source"      value="1.6" />
+  <property name="compile.target"      value="1.6" />
 
 
 
@@ -154,13 +154,13 @@
                 destdir="${javadoc.home}"
               maxmemory="768m"
                  author="true"
-                 source="1.5"
+                 source="1.6"
                 Overview="${src.home}/edu/stanford/nlp/overview.html"
                 Doctitle="Stanford JavaNLP API Documentation"
              Windowtitle="Stanford JavaNLP API"
            packagenames="*">
       <bottom><![CDATA[<FONT SIZE=2><A HREF=\"http://nlp.stanford.edu\">Stanford NLP Group</A></FONT>]]></bottom>
-      <link href="http://java.sun.com/j2se/1.5.0/docs/api/"/>
+      <link href="http://java.sun.com/j2se/1.6.0/docs/api/"/>
     </javadoc>
 
   </target>
diff --git a/stanford-ner-2014-06-16/classifiers/english.all.3class.distsim.crf.ser.gz b/stanford-ner-2014-06-16/classifiers/english.all.3class.distsim.crf.ser.gz
new file mode 100644
index 0000000..4e0d2ff
Binary files /dev/null and b/stanford-ner-2014-06-16/classifiers/english.all.3class.distsim.crf.ser.gz differ
diff --git a/stanford-ner-2014-06-16/classifiers/english.all.3class.distsim.prop b/stanford-ner-2014-06-16/classifiers/english.all.3class.distsim.prop
new file mode 100644
index 0000000..bf222da
--- /dev/null
+++ b/stanford-ner-2014-06-16/classifiers/english.all.3class.distsim.prop
@@ -0,0 +1,54 @@
+trainFileList = /u/nlp/data/ner/column_data/all.3class.train.old2,/u/nlp/data/ner/column_data/english.extra.3class.train
+testFile = /u/nlp/data/ner/column_data/all.3class.test
+serializeTo = english.all.3class.distsim.crf.ser.gz
+
+type = crf
+
+wordFunction = edu.stanford.nlp.process.AmericanizeFunction
+
+#distSimLexicon = /u/nlp/data/pos_tags_are_useless/englishGigaword.200.pruned
+#distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw.bnc.200
+distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters
+useDistSim = true
+
+map = word=0,answer=1
+
+saveFeatureIndexToDisk = true
+
+useClassFeature=true
+useWord=true
+#useWordPairs=true
+useNGrams=true
+noMidNGrams=true
+maxNGramLeng=6
+usePrev=true
+useNext=true
+#useTags=true
+#useWordTag=true
+useLongSequences=true
+useSequences=true
+usePrevSequences=true
+useTypeSeqs=true
+useTypeSeqs2=true
+useTypeySequences=true
+useOccurrencePatterns=true
+useLastRealWord=true
+useNextRealWord=true
+#useReverse=false
+normalize=true
+# normalizeTimex=true
+wordShape=chris2useLC
+useDisjunctive=true
+disjunctionWidth=5
+#useDisjunctiveShapeInteraction=true
+
+maxLeft=1
+readerAndWriter=edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
+
+useObservedSequencesOnly=true
+
+useQN = true
+QNsize = 25
+
+# makes it go faster
+featureDiffThresh=0.05
diff --git a/stanford-ner-2014-06-16/classifiers/english.conll.4class.distsim.crf.ser.gz b/stanford-ner-2014-06-16/classifiers/english.conll.4class.distsim.crf.ser.gz
new file mode 100644
index 0000000..d1fdd76
Binary files /dev/null and b/stanford-ner-2014-06-16/classifiers/english.conll.4class.distsim.crf.ser.gz differ
diff --git a/stanford-ner-2011-09-14/classifiers/conll.4class.distsim.prop b/stanford-ner-2014-06-16/classifiers/english.conll.4class.distsim.prop
similarity index 91%
rename from stanford-ner-2011-09-14/classifiers/conll.4class.distsim.prop
rename to stanford-ner-2014-06-16/classifiers/english.conll.4class.distsim.prop
index ad6bbf6..98b9e49 100644
--- a/stanford-ner-2011-09-14/classifiers/conll.4class.distsim.prop
+++ b/stanford-ner-2014-06-16/classifiers/english.conll.4class.distsim.prop
@@ -4,7 +4,9 @@
 
 trainFile = /u/nlp/data/ner/goodClassifiers/data/conll.jenny.train
 testFile = /u/nlp/data/ner/goodClassifiers/data/conll.jenny.testa
-serializeTo = conll.4class.newdistsim.crf.ser.gz
+serializeTo = english.conll.4class.distsim.crf.ser.gz
+
+wordFunction = edu.stanford.nlp.process.AmericanizeFunction
 
 useDistSim = true
 distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters
diff --git a/stanford-ner-2014-06-16/classifiers/english.muc.7class.distsim.crf.ser.gz b/stanford-ner-2014-06-16/classifiers/english.muc.7class.distsim.crf.ser.gz
new file mode 100644
index 0000000..360d2a1
Binary files /dev/null and b/stanford-ner-2014-06-16/classifiers/english.muc.7class.distsim.crf.ser.gz differ
diff --git a/stanford-ner-2011-09-14/classifiers/muc.7class.distsim.prop b/stanford-ner-2014-06-16/classifiers/english.muc.7class.distsim.prop
similarity index 89%
rename from stanford-ner-2011-09-14/classifiers/muc.7class.distsim.prop
rename to stanford-ner-2014-06-16/classifiers/english.muc.7class.distsim.prop
index 3adbb1b..39c6e0d 100644
--- a/stanford-ner-2011-09-14/classifiers/muc.7class.distsim.prop
+++ b/stanford-ner-2014-06-16/classifiers/english.muc.7class.distsim.prop
@@ -1,6 +1,8 @@
 trainFile = /u/nlp/data/ner/goodClassifiers/data/muc67.jenny.train
 testFile = /u/nlp/data/ner/goodClassifiers/data/muc67.jenny.test
-serializeTo = muc.7class.newdistsim.crf.ser.gz
+serializeTo = english.muc.7class.distsim.crf.ser.gz
+
+wordFunction = edu.stanford.nlp.process.AmericanizeFunction
 
 distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters
 useDistSim = true
diff --git a/stanford-ner-2014-06-16/classifiers/english.nowiki.3class.distsim.crf.ser.gz b/stanford-ner-2014-06-16/classifiers/english.nowiki.3class.distsim.crf.ser.gz
new file mode 100644
index 0000000..b78218a
Binary files /dev/null and b/stanford-ner-2014-06-16/classifiers/english.nowiki.3class.distsim.crf.ser.gz differ
diff --git a/stanford-ner-2011-09-14/classifiers/all.3class.distsim.prop b/stanford-ner-2014-06-16/classifiers/english.nowiki.3class.distsim.prop
similarity index 90%
rename from stanford-ner-2011-09-14/classifiers/all.3class.distsim.prop
rename to stanford-ner-2014-06-16/classifiers/english.nowiki.3class.distsim.prop
index 7f8a981..9862fe6 100644
--- a/stanford-ner-2011-09-14/classifiers/all.3class.distsim.prop
+++ b/stanford-ner-2014-06-16/classifiers/english.nowiki.3class.distsim.prop
@@ -1,9 +1,11 @@
 trainFile = /u/nlp/data/ner/goodClassifiers/data/all.3class.train
 testFile = /u/nlp/data/ner/column_data/conll.testa
-serializeTo = all.3class.newdistsim.crf.ser.gz
+serializeTo = english.nowiki.3class.distsim.crf.ser.gz
 
 type = crf
 
+wordFunction = edu.stanford.nlp.process.AmericanizeFunction
+
 #distSimLexicon = /u/nlp/data/pos_tags_are_useless/englishGigaword.200.pruned
 #distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw.bnc.200
 distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters
@@ -26,7 +28,6 @@ useNext=true
 useLongSequences=true
 useSequences=true
 usePrevSequences=true
-maxLeft=1
 useTypeSeqs=true
 useTypeSeqs2=true
 useTypeySequences=true
@@ -41,6 +42,7 @@ useDisjunctive=true
 disjunctionWidth=5
 #useDisjunctiveShapeInteraction=true
 
+maxLeft=1
 readerAndWriter=edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
 
 useObservedSequencesOnly=true
diff --git a/stanford-ner-2011-09-14/ner-gui.bat b/stanford-ner-2014-06-16/ner-gui.bat
similarity index 100%
rename from stanford-ner-2011-09-14/ner-gui.bat
rename to stanford-ner-2014-06-16/ner-gui.bat
diff --git a/stanford-ner-2011-09-14/ner-gui.command b/stanford-ner-2014-06-16/ner-gui.command
similarity index 100%
rename from stanford-ner-2011-09-14/ner-gui.command
rename to stanford-ner-2014-06-16/ner-gui.command
diff --git a/stanford-ner-2014-06-16/ner-gui.sh b/stanford-ner-2014-06-16/ner-gui.sh
new file mode 100755
index 0000000..959d8a8
--- /dev/null
+++ b/stanford-ner-2014-06-16/ner-gui.sh
@@ -0,0 +1,4 @@
+#!/bin/sh
+scriptdir=`dirname $0`
+
+java -mx700m -cp "$scriptdir/stanford-ner.jar:" edu.stanford.nlp.ie.crf.NERGUI
diff --git a/stanford-ner-2014-06-16/ner.bat b/stanford-ner-2014-06-16/ner.bat
new file mode 100755
index 0000000..7ff98b5
--- /dev/null
+++ b/stanford-ner-2014-06-16/ner.bat
@@ -0,0 +1 @@
+java -mx1500m -cp stanford-ner.jar edu.stanford.nlp.ie.crf.CRFClassifier -loadClassifier classifiers\english.all.3class.distsim.crf.ser.gz -textFile %1
diff --git a/stanford-ner-2014-06-16/ner.sh b/stanford-ner-2014-06-16/ner.sh
new file mode 100755
index 0000000..05d1d0c
--- /dev/null
+++ b/stanford-ner-2014-06-16/ner.sh
@@ -0,0 +1,4 @@
+#!/bin/sh
+scriptdir=`dirname $0`
+
+java -mx700m -cp "$scriptdir/stanford-ner.jar:" edu.stanford.nlp.ie.crf.CRFClassifier -loadClassifier $scriptdir/classifiers/english.all.3class.distsim.crf.ser.gz -textFile $1
diff --git a/stanford-ner-2011-09-14/sample.ner.txt b/stanford-ner-2014-06-16/sample.ner.txt
similarity index 94%
rename from stanford-ner-2011-09-14/sample.ner.txt
rename to stanford-ner-2014-06-16/sample.ner.txt
index 44c030b..043cef1 100644
--- a/stanford-ner-2011-09-14/sample.ner.txt
+++ b/stanford-ner-2014-06-16/sample.ner.txt
@@ -1,2 +1,2 @@
 The/O fate/O of/O Lehman/ORGANIZATION Brothers/ORGANIZATION ,/O the/O beleaguered/O investment/O bank/O ,/O hung/O in/O the/O balance/O on/O Sunday/O as/O Federal/ORGANIZATION Reserve/ORGANIZATION officials/O and/O the/O leaders/O of/O major/O financial/O institutions/O continued/O to/O gather/O in/O emergency/O meetings/O trying/O to/O complete/O a/O plan/O to/O rescue/O the/O stricken/O bank/O ./O 
-Several/O possible/O plans/O emerged/O from/O the/O talks/O ,/O held/O at/O the/O Federal/ORGANIZATION Reserve/ORGANIZATION Bank/ORGANIZATION of/ORGANIZATION New/ORGANIZATION York/ORGANIZATION and/O led/O by/O Timothy/PERSON R./PERSON Geithner/PERSON ,/O the/O president/O of/O the/O New/ORGANIZATION York/ORGANIZATION Fed/ORGANIZATION ,/O and/O Treasury/ORGANIZATION Secretary/O Henry/PERSON M./PERSON Paulson/PERSON Jr./PERSON 
+Several/O possible/O plans/O emerged/O from/O the/O talks/O ,/O held/O at/O the/O Federal/ORGANIZATION Reserve/ORGANIZATION Bank/ORGANIZATION of/ORGANIZATION New/ORGANIZATION York/ORGANIZATION and/O led/O by/O Timothy/PERSON R./PERSON Geithner/PERSON ,/O the/O president/O of/O the/O New/ORGANIZATION York/ORGANIZATION Fed/ORGANIZATION ,/O and/O Treasury/ORGANIZATION Secretary/O Henry/PERSON M./PERSON Paulson/PERSON Jr./PERSON ./O 
diff --git a/stanford-ner-2011-09-14/sample.txt b/stanford-ner-2014-06-16/sample.txt
similarity index 100%
rename from stanford-ner-2011-09-14/sample.txt
rename to stanford-ner-2014-06-16/sample.txt
diff --git a/stanford-ner-2011-09-14/server.sh b/stanford-ner-2014-06-16/server.sh
similarity index 58%
rename from stanford-ner-2011-09-14/server.sh
rename to stanford-ner-2014-06-16/server.sh
index ed3d61a..a942830 100755
--- a/stanford-ner-2011-09-14/server.sh
+++ b/stanford-ner-2014-06-16/server.sh
@@ -1,6 +1,6 @@
 #!/bin/sh
 java -mx1000m -cp stanford-ner.jar \
     edu.stanford.nlp.ie.NERServer \
-    -loadClassifier classifiers/all.3class.distsim.crf.ser.gz \
+    -loadClassifier classifiers/english.all.3class.distsim.crf.ser.gz \
     -port 9000
     
diff --git a/stanford-ner-2014-06-16/stanford-ner-3.4-javadoc.jar b/stanford-ner-2014-06-16/stanford-ner-3.4-javadoc.jar
new file mode 100644
index 0000000..9cc04a6
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