Package com.aliasi.hmm

Classes for estimating and decoding hidden Markov models.

See:
          Description

Interface Summary
HiddenMarkovModel The HiddenMarkovModel interface provides a means for definining the probability estimates and symbol table underlying a hidden Markov model (HMM).
 

Class Summary
AbstractHmm An AbstractHmm is an abstract implementation of a hidden Markov model which manages a symbol table and defines the basic methods in terms of the symbolic linear probability methods.
AbstractHmmEstimator An HmmEstimator may be used to train a hidden Markov model (HMM).
HmmCharLmEstimator An HmmCharLmEstimator employs a maximum a posteriori transition estimator and a bounded character language model emission estimator.
HmmDecoder An HmmDecoder provides implementations of first-best, n-best and marginal taggers for hidden Markov models (HMMs).
HmmEvaluation Deprecated. Use TaggerEvaluator, MarginalTaggerEvaluator and NBestTaggerEvaluator instead.
HmmEvaluator Deprecated. Use TaggerEvaluator, MarginalTaggerEvaluator and NBestTaggerEvaluator instead.
TagWordLattice Deprecated. Use TagLattice interface for return results, and ForwardBackwardTagLattice for construction.
 

Package com.aliasi.hmm Description

Classes for estimating and decoding hidden Markov models.