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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.
/* 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 & 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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