/* 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.Alphabet;
import cc.mallet.types.FeatureSequence;
import cc.mallet.types.Instance;
import cc.mallet.types.Token;
import cc.mallet.types.TokenSequence;
/**
* Convert the token sequence in the data field each instance to a feature sequence.
@author Andrew McCallum <a href="mailto:mccallum@cs.umass.edu">mccallum@cs.umass.edu</a>
*/
public class TokenSequence2FeatureSequence extends Pipe
{
public TokenSequence2FeatureSequence (Alphabet dataDict)
{
super (dataDict, null);
}
public TokenSequence2FeatureSequence ()
{
super(new Alphabet(), null);
}
public Instance pipe (Instance carrier)
{
TokenSequence ts = (TokenSequence) carrier.getData();
FeatureSequence ret =
new FeatureSequence ((Alphabet)getDataAlphabet(), ts.size());
for (int i = 0; i < ts.size(); i++) {
ret.add (ts.get(i).getText());
}
carrier.setData(ret);
return carrier;
}
}