/* 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; } }