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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. */
/**
Add a feature that is true if the token is the first in the sequence.
@author David Mimno
*/
package cc.mallet.pipe.tsf;
import java.io.*;
import cc.mallet.pipe.*;
import cc.mallet.types.*;
public class TokenFirstPosition extends Pipe implements Serializable {
String featureName;
public TokenFirstPosition (String featureName) {
this.featureName = featureName;
}
public TokenFirstPosition () {
}
public Instance pipe (Instance instance) {
TokenSequence sequence = (TokenSequence) instance.getData();
Token token = sequence.get(0);
token.setFeatureValue(featureName, 1.0);
return instance;
}
// Serialization
private static final long serialVersionUID = 1;
private static final int CURRENT_SERIAL_VERSION = 1;
private void writeObject (ObjectOutputStream out) throws IOException {
out.writeInt (CURRENT_SERIAL_VERSION);
out.writeObject (featureName);
}
private void readObject (ObjectInputStream in) throws IOException, ClassNotFoundException {
int version = in.readInt ();
featureName = (String) in.readObject ();
}
}
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