Uses of Class
cc.mallet.fst.Transducer

Packages that use Transducer

cc.mallet.fst	Transducers, including Conditional Random Fields (CRFs).
cc.mallet.fst.confidence
cc.mallet.fst.semi_supervised
cc.mallet.fst.semi_supervised.pr
cc.mallet.fst.semi_supervised.tui
cc.mallet.pipe.iterator	Classes that generate instances from different kinds of input or data structures.

Uses of Transducer in cc.mallet.fst

Subclasses of Transducer in cc.mallet.fst

class	CRF Represents a CRF model.
class	FeatureTransducer
class	HMM A Hidden Markov Model.
class	MEMM A Maximum Entropy Markov Model.

Fields in cc.mallet.fst declared as Transducer

protected Transducer

ShallowTransducerTrainer.transducer Deprecated.

Methods in cc.mallet.fst that return Transducer

abstract Transducer	TransducerTrainer.getTransducer()
abstract Transducer	Transducer.State.getTransducer()
Transducer	Transducer.TransitionIterator.getTransducer()
Transducer	SumLatticeScaling.getTransducer()
Transducer	SumLatticeDefault.getTransducer()
Transducer	SumLatticeBeam.getTransducer()
Transducer	SumLattice.getTransducer()
Transducer	ShallowTransducerTrainer.getTransducer() Deprecated.
Transducer	NoopTransducerTrainer.getTransducer()
Transducer	MEMMTrainer.getTransducer()
Transducer	MaxLatticeDefault.getTransducer()
Transducer	MaxLattice.getTransducer()
Transducer	HMMTrainerByLikelihood.getTransducer()
Transducer	HMM.State.getTransducer()
Transducer	FeatureTransducer.State.getTransducer()
Transducer	CRFTrainerByValueGradients.getTransducer()
Transducer	CRFTrainerByThreadedLabelLikelihood.getTransducer()
Transducer	CRFTrainerByStochasticGradient.getTransducer()
Transducer	CRFTrainerByLabelLikelihood.getTransducer()
Transducer	CRF.State.getTransducer()

Methods in cc.mallet.fst with parameters of type Transducer

static Sequence[]	SimpleTagger.apply(Transducer model, Sequence input, int k) Apply a transducer to an input sequence to produce the k highest-scoring output sequences.
MaxLattice	MaxLatticeFactory.newMaxLattice(Transducer trans, Sequence inputSequence)
abstract MaxLattice	MaxLatticeFactory.newMaxLattice(Transducer trans, Sequence inputSequence, Sequence outputSequence)
MaxLattice	MaxLatticeDefault.Factory.newMaxLattice(Transducer trans, Sequence inputSequence, Sequence outputSequence)
SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input)
SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Sequence output)
SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor)
SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis)
SumLattice	SumLatticeScaling.Factory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)
abstract SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet) Returns a SumLattice object to run forward-backward.
SumLattice	SumLatticeDefault.Factory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)
SumLattice	SumLatticeBeam.Factory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)
SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet)
SumLattice	SumLatticeFactory.newSumLattice(Transducer trans, Sequence input, Transducer.Incrementor incrementor)

Constructors in cc.mallet.fst with parameters of type Transducer

MaxLatticeDefault(Transducer t, Sequence inputSequence)

MaxLatticeDefault(Transducer t, Sequence inputSequence, Sequence outputSequence)

MaxLatticeDefault(Transducer t, Sequence inputSequence, Sequence outputSequence, int maxCaches)
Initiate Viterbi decoding of the inputSequence, contrained to match non-null parts of the outputSequence.

NoopTransducerTrainer(Transducer transducer)

ShallowTransducerTrainer(Transducer transducer)
Deprecated.

SumLatticeBeam(Transducer t, Sequence input, Sequence output, Transducer.Incrementor incrementor)

SumLatticeBeam(Transducer t, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis)

SumLatticeBeam(Transducer t, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)

SumLatticeBeam(Transducer t, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet, int[] constraints)
Create a lattice that constrains its transitions such that the pairs in "constraints" are adhered to.

SumLatticeConstrained(Transducer t, Sequence input, Sequence output, Segment requiredSegment, Sequence constrainedSequence)

SumLatticeConstrained(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet, int[] constraints)
Create a lattice that constrains its transitions such that the pairs in "constraints" are adhered to.

SumLatticeDefault(Transducer trans, Sequence input)

SumLatticeDefault(Transducer trans, Sequence input, boolean saveXis)

SumLatticeDefault(Transducer trans, Sequence input, Sequence output)

SumLatticeDefault(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor)

SumLatticeDefault(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis)

SumLatticeDefault(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)

SumLatticeDefault(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet)

SumLatticeDefault(Transducer trans, Sequence input, Transducer.Incrementor incrementor)

SumLatticeScaling(Transducer trans, Sequence input)

SumLatticeScaling(Transducer trans, Sequence input, boolean saveXis)

SumLatticeScaling(Transducer trans, Sequence input, Sequence output)

SumLatticeScaling(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor)

SumLatticeScaling(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis)

SumLatticeScaling(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)

SumLatticeScaling(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet)

SumLatticeScaling(Transducer trans, Sequence input, Transducer.Incrementor incrementor)

Uses of Transducer in cc.mallet.fst.confidence

Fields in cc.mallet.fst.confidence declared as Transducer

protected Transducer	TransducerSequenceConfidenceEstimator.model
protected Transducer	TransducerConfidenceEstimator.model

Methods in cc.mallet.fst.confidence that return Transducer

Transducer

TransducerConfidenceEstimator.getTransducer()

Methods in cc.mallet.fst.confidence with parameters of type Transducer

void	ConfidenceCorrectorEvaluator.evaluate(Transducer model, java.util.ArrayList predictions, InstanceList ilist, java.util.ArrayList correctedSegments, java.lang.String description, java.io.PrintStream outputStream, boolean errorsInUncorrected) Only evaluates over sequences which contain errors.

Constructors in cc.mallet.fst.confidence with parameters of type Transducer

ConstrainedForwardBackwardConfidenceEstimator(Transducer model)

ConstrainedViterbiTransducerCorrector(Transducer model)

ConstrainedViterbiTransducerCorrector(TransducerConfidenceEstimator confidenceEstimator, Transducer model)

GammaAverageConfidenceEstimator(Transducer model)

GammaProductConfidenceEstimator(Transducer model)

IsolatedSegmentTransducerCorrector(Transducer model)

IsolatedSegmentTransducerCorrector(TransducerConfidenceEstimator confidenceEstimator, Transducer model)

MaxEntConfidenceEstimator(Transducer model)

MaxEntConfidenceEstimator(Transducer model, double gaussianVariance)

MaxEntSequenceConfidenceEstimator(Transducer model)

MaxEntSequenceConfidenceEstimator(Transducer model, double gaussianVariance)

MinSegmentConfidenceEstimator(Transducer model, TransducerConfidenceEstimator segmentConfidenceEstimator)

NBestViterbiConfidenceEstimator(Transducer model, int N)

QBCSequenceConfidenceEstimator(Transducer model, Transducer[] committee)

QBCSequenceConfidenceEstimator(Transducer model, Transducer[] committee)

RandomConfidenceEstimator(int seed, Transducer model)

RandomConfidenceEstimator(Transducer model)

RandomSequenceConfidenceEstimator(int seed, Transducer model)

RandomSequenceConfidenceEstimator(Transducer model)

SegmentProductConfidenceEstimator(Transducer model, TransducerConfidenceEstimator segmentConfidenceEstimator)

TransducerConfidenceEstimator(Transducer model)

TransducerSequenceConfidenceEstimator(Transducer model)

ViterbiConfidenceEstimator(Transducer model)

ViterbiRatioConfidenceEstimator(Transducer model)

Uses of Transducer in cc.mallet.fst.semi_supervised

Fields in cc.mallet.fst.semi_supervised declared as Transducer

protected Transducer	GELattice.transducer
protected Transducer	EntropyLattice.transducer

Methods in cc.mallet.fst.semi_supervised that return Transducer

Transducer	CRFTrainerByLikelihoodAndGE.getTransducer()
Transducer	CRFTrainerByGE.getTransducer()
Transducer	CRFTrainerByEntropyRegularization.getTransducer()

Constructors in cc.mallet.fst.semi_supervised with parameters of type Transducer

EntropyLattice(FeatureVectorSequence fvs, double[][] gammas, double[][][] xis, Transducer transducer, Transducer.Incrementor incrementor, double scalingFactor)
Runs constrained forward-backward.

GELattice(FeatureVectorSequence fvs, double[][] gammas, double[][][] xis, Transducer transducer, int[][] reverseTrans, int[][] reverseTransIndices, CRF.Factors gradient, java.util.ArrayList<GEConstraint> constraints, boolean check)

Uses of Transducer in cc.mallet.fst.semi_supervised.pr

Subclasses of Transducer in cc.mallet.fst.semi_supervised.pr

class

PRAuxiliaryModel Auxiliar model (q) for E-step/I-projection in Posterior Regularization (PR).

Fields in cc.mallet.fst.semi_supervised.pr declared as Transducer

protected Transducer

SumLatticePR.transducer

Methods in cc.mallet.fst.semi_supervised.pr that return Transducer

Transducer	SumLatticePR.getTransducer()
Transducer	SumLatticeKL.getTransducer()
Transducer	SumLatticeDefaultCachedDot.getTransducer()
Transducer	CRFTrainerByPR.getTransducer()

Constructors in cc.mallet.fst.semi_supervised.pr with parameters of type Transducer

SumLatticeDefaultCachedDot(Transducer trans, Sequence input, Sequence output, double[][][] cachedDots, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)

SumLatticeKL(Transducer trans, Sequence input, double[] initProbs, double[] finalProbs, double[][][] xis, double[][][] cachedDots, Transducer.Incrementor incrementor)

SumLatticePR(Transducer trans, int index, Sequence input, Sequence output, PRAuxiliaryModel auxModel, double[][][] cachedDots, boolean incrementConstraints, Transducer.Incrementor incrementor, LabelAlphabet outputAlphabet, boolean saveXis)

Uses of Transducer in cc.mallet.fst.semi_supervised.tui

Methods in cc.mallet.fst.semi_supervised.tui with parameters of type Transducer

static Sequence[]

SimpleTaggerWithConstraints.apply(Transducer model, Sequence input, int k) Apply a transducer to an input sequence to produce the k highest-scoring output sequences.

Uses of Transducer in cc.mallet.pipe.iterator

Constructors in cc.mallet.pipe.iterator with parameters of type Transducer

SegmentIterator(Transducer model, InstanceList ilist, java.lang.Object[] segmentStartTags, java.lang.Object[] segmentContinueTags)
NOTE!: Assumes that segmentStartTags[i] corresponds to segmentContinueTags[i].

SegmentIterator(Transducer model, Instance instance, java.lang.Object[] segmentStartTags, java.lang.Object[] segmentContinueTags)
Iterates over Segments for only one Instance.