cc.mallet.fst.confidence

Class MaxEntConfidenceEstimator

java.lang.Object

cc.mallet.fst.confidence.TransducerConfidenceEstimator

cc.mallet.fst.confidence.MaxEntConfidenceEstimator

All Implemented Interfaces:

java.io.Serializable

public class MaxEntConfidenceEstimator
extends TransducerConfidenceEstimator

Estimates the confidence of a Segment extracted by a Transducer using a MaxEnt classifier to classify segments as "correct" or "incorrect." xxx needs some interface work

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MaxEntConfidenceEstimator(Transducer model)
MaxEntConfidenceEstimator(Transducer model, double gaussianVariance)

Method Summary

Modifier and Type	Method and Description
double	estimateConfidenceFor(Segment segment, SumLatticeDefault cachedLattice) Calculates the confidence in the tagging of a Segment.
MaxEnt	trainClassifier(InstanceList ilist, java.lang.String correct, java.lang.String incorrect)

Methods inherited from class cc.mallet.fst.confidence.TransducerConfidenceEstimator

estimateConfidenceFor, getSegmentConfidences, getTransducer, rankSegmentsByConfidence, rankSegmentsByConfidence

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MaxEntConfidenceEstimator

public MaxEntConfidenceEstimator(Transducer model,
                                 double gaussianVariance)

MaxEntConfidenceEstimator

public MaxEntConfidenceEstimator(Transducer model)

Method Detail

trainClassifier

public MaxEnt trainClassifier(InstanceList ilist,
                              java.lang.String correct,
                              java.lang.String incorrect)

estimateConfidenceFor

public double estimateConfidenceFor(Segment segment,
                                    SumLatticeDefault cachedLattice)

Calculates the confidence in the tagging of a Segment.

Specified by:

estimateConfidenceFor in class TransducerConfidenceEstimator