| Package | Description |
|---|---|
| com.hankcs.hanlp.model.perceptron |
感知机在线学习算法的线性序列标注模型。基于这套框架实现了一整套分词、词性标注和命名实体识别功能。
理论参考邓知龙 《基于感知器算法的高效中文分词与词性标注系统设计与实现》,
简介:http://www.hankcs.com/nlp/segment/implementation-of-word-segmentation-device-java-based-on-structured-average-perceptron.html
|
| com.hankcs.hanlp.model.perceptron.instance | |
| com.hankcs.hanlp.model.perceptron.model | |
| com.hankcs.hanlp.model.perceptron.utility |
| Modifier and Type | Method and Description |
|---|---|
protected Instance |
PerceptronSegmenter.createInstance(Sentence sentence,
FeatureMap featureMap) |
protected Instance |
NERTrainer.createInstance(Sentence sentence,
FeatureMap featureMap) |
protected abstract Instance |
InstanceConsumer.createInstance(Sentence sentence,
FeatureMap featureMap) |
protected Instance |
CWSTrainer.createInstance(Sentence sentence,
FeatureMap mutableFeatureMap) |
protected Instance |
PerceptronPOSTagger.createInstance(Sentence sentence,
FeatureMap featureMap) |
protected Instance |
PerceptronNERecognizer.createInstance(Sentence sentence,
FeatureMap featureMap) |
protected Instance |
POSTrainer.createInstance(Sentence sentence,
FeatureMap featureMap) |
protected Instance[] |
PerceptronTrainer.loadTrainInstances(String trainingFile,
MutableFeatureMap mutableFeatureMap) |
| Modifier and Type | Method and Description |
|---|---|
boolean |
PerceptronTagger.learn(Instance instance)
在线学习
|
void |
PerceptronSegmenter.segment(String text,
Instance instance,
List<String> output) |
| Modifier and Type | Class and Description |
|---|---|
class |
CWSInstance |
class |
NERInstance |
class |
POSInstance |
| Modifier and Type | Method and Description |
|---|---|
void |
StructuredPerceptron.update(Instance instance)
在线学习
|
double |
LinearModel.viterbiDecode(Instance instance)
维特比解码
|
double |
LinearModel.viterbiDecode(Instance instance,
int[] guessLabel)
维特比解码
|
| Modifier and Type | Method and Description |
|---|---|
static double[] |
IOUtility.evaluate(Instance[] instances,
LinearModel model) |
static void |
IOUtility.evaluate(Instance instance,
LinearModel model,
int[] stat) |
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