📄 countmatches.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. *//** Count the number of times the provided regular expression matches the token text, and add a feature with the provided name having value equal to the count. @author Andrew McCallum <a href="mailto:mccallum@cs.umass.edu">mccallum@cs.umass.edu</a> */package edu.umass.cs.mallet.base.pipe.tsf;import java.util.regex.Pattern;import java.util.regex.Matcher;import edu.umass.cs.mallet.base.types.*;import edu.umass.cs.mallet.base.pipe.*;public class CountMatches extends Pipe{ public static final int INTEGER_COUNT = 0; public static final int BINARY_COUNT = 1; public static final int NORMALIZED_COUNT = 2; public static final int OVER_MAX = 3; Pattern regex; String feature; boolean normalizeByCharLength = false; boolean countIsBinary = false; public CountMatches (String featureName, Pattern regex, int countType) { this.feature = featureName; this.regex = regex; if (countType == BINARY_COUNT) countIsBinary = true; else if (countType == NORMALIZED_COUNT) normalizeByCharLength = true; else if (countType >= OVER_MAX) throw new IllegalArgumentException ("Bad countType."); } public CountMatches (String featureName, Pattern regex) { this (featureName, regex, INTEGER_COUNT); } public Instance pipe (Instance carrier) { TokenSequence ts = (TokenSequence) carrier.getData(); int count; for (int i = 0; i < ts.size(); i++) { count = 0; Token t = ts.getToken(i); Matcher matcher = regex.matcher (t.getText()); while (matcher.find ()) { count++; if (countIsBinary) break; } if (count > 0) t.setFeatureValue (feature, (normalizeByCharLength ? ((double)count)/t.getText().length() : (double)count)); } return carrier; }}
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