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See:
Description
| Class Summary | |
| ActiveLearner | |
| ActiveLearnerTool | |
| BasicHMMemitter | a simple HMMemitter, with statistics based only on exact match to a token in the training corpus. |
| BigramHMMemitter | an HMMemitter, using statistics for exact token match (including case), for token match (ignoring case), for token bigrams (ignoring case) and for word 'shape'. |
| BIOWriter | converts an XML-annotated named entity file (with the tag ENAMEX) into a BIO-format file. |
| HMM | A Hidden Markov Model. |
| HMMannotator | HMMAnnotator provides methods for training and using HMMs with annotated Documents. |
| HMMarc | an arc (from one state to another) in a Hidden Markov Model. |
| HMMemitter | this abstract class specifies the methods required for any class which computes the emission probabilities for an HMM. |
| HMMNameTagger | a Named Entity tagger based on the generic HMM (Hidden Markov Model) mechanism. |
| HMMstate | a state of a Hidden Markov Model. |
| HMMTagger | a POS (part-of-speech) tagger using a bigram model. |
| Retagger | class Retagger provides methods for converting Penn part-of-speech tags into Jet part-of-speech tags, and using the result to filter the entries in the Jet lexicon. |
| SuffixHMMemitter | an HMMemitter, using statistics for exact token match (including case), for token match (ignoring case), for suffix, and for word 'shape'. |
| WordFeatureHMMemitter | an HMMemitter, using statistics for exact token match (including case), for token match (ignoring case), and for word 'shape'. |
The HMM package includes the classes for Hidden Markov Models, and part-of-speech and name taggers implemented using HMMs. A separate description is available of the overall structure and external representation of these models, provided for those who wish to modify the models.
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