Description: MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text.
File list (Check if you may need any files):
mallet-2.0.6
............\class
............\.....\cc
............\.....\..\mallet
............\.....\..\......\fst
............\.....\..\......\...\MultiSegmentationEvaluator.class
............\.....\..\......\...\CRFWriter.class
............\.....\..\......\...\ThreadedOptimizable$ValueHandler.class
............\.....\..\......\...\Transducer.class
............\.....\..\......\...\SumLatticeScaling$LatticeNode.class
............\.....\..\......\...\CRFTrainerByThreadedLabelLikelihood.class
............\.....\..\......\...\TokenAccuracyEvaluator.class
............\.....\..\......\...\CRFTrainerByValueGradients$OptimizableCRF.class
............\.....\..\......\...\MaxLatticeDefault$WeightCache.class
............\.....\..\......\...\SimpleTagger.class
............\.....\..\......\...\CRF$2.class
............\.....\..\......\...\CRF$1.class
............\.....\..\......\...\MaxLatticeFactory.class
............\.....\..\......\...\Transducer$State.class
............\.....\..\......\...\HMM.class
............\.....\..\......\...\TransducerEvaluator.class
............\.....\..\......\...\SegmentationEvaluator$2.class
............\.....\..\......\...\HMM$Incrementor.class
............\.....\..\......\...\SumLatticeScaling.class
............\.....\..\......\...\TransducerTrainer.class
............\.....\..\......\...\MEMMTrainer.class
............\.....\..\......\...\SumLatticeBeam$NBestSlist.class
............\.....\..\......\...\CRF$Factors$WeightedIncrementor.class
............\.....\..\......\...\SumLatticeBeam.class
............\.....\..\......\...\CacheStaleIndicator.class
............\.....\..\......\...\MEMM.class
............\.....\..\......\...\FeatureTransducer$State.class
............\.....\..\......\...\CRFTrainerByValueGradients.class
............\.....\..\......\...\HMMTrainerByLikelihood.class
............\.....\..\......\...\MaxLatticeDefault.class
............\.....\..\......\...\CRF$TransitionIterator.class
............\.....\..\......\...\CRFTrainerByL1LabelLikelihood.class
............\.....\..\......\...\MaxLatticeDefault$ViterbiNode$PreviousStateIterator.class
............\.....\..\......\...\ViterbiWriter.class
............\.....\..\......\...\SumLatticeConstrained.class
............\.....\..\......\...\SimpleTagger$SimpleTaggerSentence2FeatureVectorSequence.class
............\.....\..\......\...\Transducer$TransitionIterator.class
............\.....\..\......\...\PerClassAccuracyEvaluator.class
............\.....\..\......\...\CRFOptimizableByBatchLabelLikelihood$Factory.class
............\.....\..\......\...\SumLatticeDefault$LatticeNode.class
............\.....\..\......\...\CRF$Factors$Incrementor.class
............\.....\..\......\...\ShallowTransducerTrainer.class
............\.....\..\......\...\CRF$Factors.class
............\.....\..\......\...\SumLatticeDefault.class
............\.....\..\......\...\InstanceAccuracyEvaluator.class
............\.....\..\......\...\CRFOptimizableByLabelLikelihood$Factory.class
............\.....\..\......\...\MaxLattice.class
............\.....\..\......\...\SumLatticeBeam$Factory$1.class
............\.....\..\......\...\CRFOptimizableByGradientValues.class
............\.....\..\......\...\HMM$State.class
............\.....\..\......\...\NoopTransducerTrainer.class
............\.....\..\......\...\CRFOptimizableByBatchLabelLikelihood.class
............\.....\..\......\...\SumLatticeFactory.class
............\.....\..\......\...\LabelDistributionEvaluator.class
............\.....\..\......\...\FeatureTransducer$Transition.class
............\.....\..\......\...\SegmentationEvaluator.class
............\.....\..\......\...\MEMM$TransitionIterator.class
............\.....\..\......\...\CRFOptimizableByLabelLikelihood.class
............\.....\..\......\...\SumLatticeBeam$Factory.class
............\.....\..\......\...\MEMMTrainer$MEMMOptimizableByLabelLikelihood.class
............\.....\..\......\...\FeatureTransducer$TransitionIterator.class
............\.....\..\......\...\CRFTrainerByStochasticGradient.class
............\.....\..\......\...\MaxLatticeDefault$1.class
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