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MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.

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/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept.
   This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit).
   http://www.cs.umass.edu/~mccallum/mallet
   This software is provided under the terms of the Common Public License,
   version 1.0, as published by http://www.opensource.org.  For further
   information, see the file `LICENSE' included with this distribution. */





package cc.mallet.pipe;


import java.io.*;

import cc.mallet.types.*;
// convert & to &
/** convert & to &amp in tokens of a token sequence
   @author Aron Culotta [email protected]
 */

public class MakeAmpersandXMLFriendly extends Pipe implements Serializable
{

	public MakeAmpersandXMLFriendly ()
	{
	}

	public Instance pipe (Instance carrier)
	{
		TokenSequence ts = (TokenSequence) carrier.getData();
		for (int i = 0; i < ts.size(); i++) {
			Token t = ts.get(i);
			String s = t.getText();
			if (s.indexOf("&") != -1) {
				if (s.indexOf("&") != -1) // already friendly
					return carrier;
				else {
					s.replaceAll ("&", "&");
					t.setText (s);
				}
			}
		}
		return carrier;
	}
	// Serialization 
	
	private static final long serialVersionUID = 1;
	private static final int CURRENT_SERIAL_VERSION = 0;
	
	private void writeObject (ObjectOutputStream out) throws IOException {
		out.writeInt (CURRENT_SERIAL_VERSION);
	}
	
	private void readObject (ObjectInputStream in) throws IOException, ClassNotFoundException {
		int version = in.readInt ();
	}

}




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