languageDetect.java

package lab5;
/*
 * Put  the  text through  your  Huffman  frequency  code  to  get  a  frequency profile,  and  then  compare  it  against  these  European  languages  to  see 
which one is the best match. Come up with some metric for quantifying how good the fit is.
 * */
import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.UnsupportedEncodingException;

public class languageDetect
{
	public static void main(String[] args)
	{
		try
		{
			File fileDir = new File("H://mystery.txt");
			BufferedReader in = new BufferedReader(  new InputStreamReader(new FileInputStream(fileDir), "UTF-8"));//reading in the file as unicode
			        
			String str;
			String ini=new String("");//enter file into this string
			
			while ((str = in.readLine()) != null) //keep reading in until  nothing left
			{
				//if(str!="")//not needed
				//{
					ini+=str;
					System.out.println(str);
				//}
			}
			
			double freq []=huffmanAdapt.main(ini);	
			
			String a=getDiff.main(freq);
			
			System.out.println("the language seems to be "+a);
	        
			in.close();
		} 
		catch (UnsupportedEncodingException e) 
		{
			System.out.println(e.getMessage());
		} 
		catch (IOException e) 
		{
			System.out.println(e.getMessage());
		}
		catch (Exception e)
		{
			System.out.println("end of string");
		}
	}
}