| Package | Description |
|---|---|
| de.julielab.jcore.ae.jpos.pipes | |
| de.julielab.jcore.ae.jpos.postagger | |
| de.julielab.jcore.ae.jpos.tagger |
| Modifier and Type | Method and Description |
|---|---|
cc.mallet.types.InstanceList |
FeatureGenerator.createFeatureData(ArrayList<Sentence> sentences,
Properties featureConfig) |
| Constructor and Description |
|---|
SentencePipeIterator(ArrayList<Sentence> sentences) |
| Modifier and Type | Method and Description |
|---|---|
protected Sentence |
POSAnnotator.createUnitSentence(ArrayList<Token> tokenList,
org.apache.uima.jcas.JCas JCas)
Takes all info about meta data and generates the corresponding unit sequence represented by a Sentence object.
|
| Modifier and Type | Method and Description |
|---|---|
void |
POSAnnotator.writeToCAS(Sentence unitSentence,
org.apache.uima.jcas.JCas aJCas,
ArrayList<Token> tokenList)
creates the respective uima annotations from JPOS's predictions.
|
| Modifier and Type | Method and Description |
|---|---|
Sentence |
POSTagger.PPDtoUnits(String sentence)
takes a sentence in piped format and returns the corresponding unit
sentence as a Sentence object
|
Sentence |
POSTagger.textToUnits(String sentence) |
| Modifier and Type | Method and Description |
|---|---|
void |
POSTagger.predictForUIMA(Sentence sentence)
predicts the entity labels by means of a model.
|
| Modifier and Type | Method and Description |
|---|---|
ArrayList<String> |
POSTagger.predictForCLI(ArrayList<Sentence> sentences)
predict the entity labels by means of a previously learned model.
|
void |
POSTagger.train(ArrayList<Sentence> sentences)
this is to train a NE model (based on CRF); when trained, the model is
stored internally.
|
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