| Package | Description |
|---|---|
| com.aliasi.crf |
Classes and interfaces for conditional random fields.
|
| com.aliasi.hmm |
Classes for estimating and decoding hidden Markov models.
|
| com.aliasi.tag |
Classes and interfaces for sequence tagging, including evaluators.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ChainCrf<E>
The
ChainCrf<E> class implements linear chain conditional
random field decoding and estimation for input token sequences of
type E. |
| Modifier and Type | Class and Description |
|---|---|
class |
HmmDecoder
An
HmmDecoder provides implementations of first-best,
n-best and marginal taggers for hidden Markov models (HMMs). |
| Modifier and Type | Method and Description |
|---|---|
NBestTagger<E> |
NBestTaggerEvaluator.tagger()
Return the n-best tagger used for this evaluator.
|
| Modifier and Type | Method and Description |
|---|---|
void |
NBestTaggerEvaluator.setTagger(NBestTagger<E> tagger)
Set the tagger to the specified value.
|
| Constructor and Description |
|---|
NBestTaggerEvaluator(NBestTagger<E> tagger,
int maxNBest,
int maxNBestToString)
Construct an n-best tagger evaluator using the specified
tagger, restricting the response taggings to the maximum
number of outputs specified, and writing the specified
number of outputs to the last case string.
|
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