| 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 | Method and Description |
|---|---|
Iterator<ScoredTagging<E>> |
ChainCrf.tagNBest(List<E> tokens,
int maxResults) |
Iterator<ScoredTagging<E>> |
ChainCrf.tagNBestConditional(List<E> tokens,
int maxResults) |
| Modifier and Type | Method and Description |
|---|---|
Iterator<ScoredTagging<String>> |
HmmDecoder.tagNBest(List<String> tokens,
int maxResults) |
Iterator<ScoredTagging<String>> |
HmmDecoder.tagNBestConditional(List<String> tokens,
int maxResults) |
| Modifier and Type | Method and Description |
|---|---|
Iterator<ScoredTagging<E>> |
NBestTagger.tagNBest(List<E> tokens,
int maxResults)
Return an iterator over the
n-best scored taggings for
the specified input tokens up to a specified maximum n. |
Iterator<ScoredTagging<E>> |
NBestTagger.tagNBestConditional(List<E> tokens,
int maxResults)
Return an iterator over the
n-best scored taggings for
the specified input tokens up to a specified maximum n,
with scores normalized to conditional probabilities. |
| Modifier and Type | Method and Description |
|---|---|
void |
NBestTaggerEvaluator.addCase(Tagging<E> referenceTagging,
Iterator<ScoredTagging<E>> responseTaggingIterator)
Add a test case consisting of the specified reference tagging
and iterator over responses.
|
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