cc.mallet.fst.confidence
Class TransducerConfidenceEstimator

java.lang.Object
  cc.mallet.fst.confidence.TransducerConfidenceEstimator

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

ConstrainedForwardBackwardConfidenceEstimator, GammaAverageConfidenceEstimator, GammaProductConfidenceEstimator, MaxEntConfidenceEstimator, RandomConfidenceEstimator

public abstract class TransducerConfidenceEstimator
extends java.lang.Object
implements java.io.Serializable

Abstract class that estimates the confidence of a Segment extracted by a Transducer.

See Also:

Serialized Form

Field Summary

protected Transducer

model

Constructor Summary

TransducerConfidenceEstimator(Transducer model)

Method Summary

double	estimateConfidenceFor(Segment segment) Calculates the confidence in the tagging of a Segment.
abstract double	estimateConfidenceFor(Segment segment, SumLatticeDefault lattice)
java.util.Vector	getSegmentConfidences()
Transducer	getTransducer()
Segment[]	rankSegmentsByConfidence(InstanceList ilist, java.lang.Object[] startTags, java.lang.Object[] continueTags) Ranks all Segments in this InstanceList by confidence estimate.
Segment[]	rankSegmentsByConfidence(Instance instance, java.lang.Object[] startTags, java.lang.Object[] continueTags) ranks the segments in one Instance

Methods inherited from class java.lang.Object

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

Field Detail

model

protected Transducer model

Constructor Detail

TransducerConfidenceEstimator

public TransducerConfidenceEstimator(Transducer model)

Method Detail

estimateConfidenceFor

public double estimateConfidenceFor(Segment segment)

Calculates the confidence in the tagging of a Segment.

estimateConfidenceFor

public abstract double estimateConfidenceFor(Segment segment,
                                             SumLatticeDefault lattice)

getSegmentConfidences

public java.util.Vector getSegmentConfidences()

rankSegmentsByConfidence

public Segment[] rankSegmentsByConfidence(InstanceList ilist,
                                          java.lang.Object[] startTags,
                                          java.lang.Object[] continueTags)

Ranks all Segments in this InstanceList by confidence estimate.

Parameters:

ilist - list of segmentation instances

startTags - represent the labels for the start states (B-) of all segments

continueTags - represent the labels for the continue state (I-) of all segments

Returns:

array of Segments ordered by non-decreasing confidence scores, as calculated by estimateConfidenceFor

rankSegmentsByConfidence

public Segment[] rankSegmentsByConfidence(Instance instance,
                                          java.lang.Object[] startTags,
                                          java.lang.Object[] continueTags)

ranks the segments in one Instance

Parameters:

instance - instances to be segmented

startTags - represent the labels for the start states (e.g. B-) of all segments

continueTags - represent the labels for the continue state (e.g. I-) of all segments

Returns:

array of Segments ordered by non-decreasing confidence scores, as calculated by estimateConfidenceFor

getTransducer

public Transducer getTransducer()