| 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 |
|---|---|
MarginalTagger<E> |
MarginalTaggerEvaluator.tagger()
Returns the tagger for this evaluator.
|
| Modifier and Type | Method and Description |
|---|---|
void |
MarginalTaggerEvaluator.setTagger(MarginalTagger<E> tagger)
Set the tagger for this tagger evaluated to the specified
tagger.
|
| Constructor and Description |
|---|
MarginalTaggerEvaluator(MarginalTagger<E> tagger,
Set<String> tagSet,
boolean storeTokens)
Construct an evaluator for the specified marginal tagger,
using the specifed tag set and flag indicating whether or
not to store input tokens.
|
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