gammaproductconfidenceestimator.java

来自「mallet是自然语言处理、机器学习领域的一个开源项目。」· Java 代码 · 共 56 行

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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. *//** 		@author Aron Culotta <a href="mailto:culotta@cs.umass.edu">culotta@cs.umass.edu</a>*/package edu.umass.cs.mallet.base.fst.confidence;import edu.umass.cs.mallet.base.types.*;import edu.umass.cs.mallet.base.fst.*;import java.util.HashMap;/** Calculates the confidence in an extracted segment by taking the * product of eP(s_i|o) for each state in the segment. */public class GammaProductConfidenceEstimator extends TransducerConfidenceEstimator{	HashMap string2stateIndex;		public GammaProductConfidenceEstimator (Transducer model) {		this.model = model;		string2stateIndex = new HashMap();		// store state indices		for (int i=0; i < model.numStates(); i++) {			string2stateIndex.put (model.getState(i).getName(), new Integer (i));		}	}		/**		 Calculates the confidence in the tagging of a {@link Segment}.		 @return 0-1 confidence value. higher = more confident.	 */	public double estimateConfidenceFor (Segment segment, Transducer.Lattice cachedLattice) {		Sequence predSequence = segment.getPredicted ();		Sequence input = segment.getInput ();		Transducer.Lattice lattice = (cachedLattice==null) ? model.forwardBackward (input) :                                             cachedLattice;		double confidence = 1;		for (int i=segment.getStart(); i <= segment.getEnd(); i++) 			confidence *= lattice.getGammaProbability (i+1, model.getState (stateIndexOfString ((String)predSequence.get (i))));		return confidence;	}		private int stateIndexOfString (String s)	{		Integer index = (Integer) string2stateIndex.get (s);		if (index == null)			throw new IllegalArgumentException ("state label " + s + " not a state in transducer");		return index.intValue();	}}

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