| Package | Description |
|---|---|
| com.aliasi.chunk |
Classes for extracting meaningful chunks (spans) of text.
|
| com.aliasi.hmm |
Classes for estimating and decoding hidden Markov models.
|
| com.aliasi.test.unit.hmm |
| Class and Description |
|---|
| AbstractHmmEstimator
An
HmmEstimator may be used to train a hidden Markov
model (HMM). |
| HmmDecoder
An
HmmDecoder provides implementations of first-best,
n-best and marginal taggers for hidden Markov models (HMMs). |
| Class and Description |
|---|
| 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). |
| HiddenMarkovModel
The
HiddenMarkovModel interface provides a means
for definining the probability estimates and symbol table
underlying a hidden Markov model (HMM). |
| Class and Description |
|---|
| HmmCharLmEstimator
An
HmmCharLmEstimator employs a maximum a posteriori
transition estimator and a bounded character language model
emission estimator. |
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