| 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 | Interface and Description |
|---|---|
interface |
NBestTagger<E>
The
NBestTagger<E> interface for objects that tag a list of
objects with multiple tagged results. |
| Modifier and Type | Class and Description |
|---|---|
class |
ClassifierTagger<E>
A
ClassifierTagger implements the first-best tagger
interface with a classifier that operates left-to-right
over the tokens, classifying one token at a time. |
| Modifier and Type | Method and Description |
|---|---|
Tagger<E> |
TaggerEvaluator.tagger()
Return the tagger for this evaluator.
|
| Modifier and Type | Method and Description |
|---|---|
void |
TaggerEvaluator.setTagger(Tagger<E> tagger)
Set the tagger for this evaluator to the specified value.
|
| Constructor and Description |
|---|
TaggerEvaluator(Tagger<E> tagger,
boolean storeTokens)
Construct a tagger evaluator using the specified tagger that
stores inputs if the specified flag is
true. |
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