📄 tokensequencengrams.java
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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 edu.umass.cs.mallet.base.pipe;import edu.umass.cs.mallet.base.types.TokenSequence;import edu.umass.cs.mallet.base.types.Token;import edu.umass.cs.mallet.base.types.Instance;import java.io.*;/** * Convert the token sequence in the data field to a token sequence of ngrams. @author Don Metzler <a href="mailto:metzler@cs.umass.edu">metzler@cs.umass.edu</a>*/public class TokenSequenceNGrams extends Pipe implements Serializable{ int [] gramSizes = null; public TokenSequenceNGrams (int [] sizes) { this.gramSizes = sizes; } public Instance pipe (Instance carrier) { String newTerm = null; TokenSequence tmpTS = new TokenSequence(); TokenSequence ts = (TokenSequence) carrier.getData(); for (int i = 0; i < ts.size(); i++) { Token t = ts.getToken(i); for(int j = 0; j < gramSizes.length; j++) { int len = gramSizes[j]; if(len <= 0 || len > (i+1)) continue; newTerm = new String(t.getText()); for(int k = 1; k < len; k++) newTerm = ts.getToken(i-k) + "_" + newTerm; tmpTS.add(newTerm); } } carrier.setData(tmpTS); 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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