| com.hankcs.hanlp |
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| com.hankcs.hanlp.algorithm |
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| com.hankcs.hanlp.algorithm.ahocorasick.interval |
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| com.hankcs.hanlp.algorithm.ahocorasick.trie |
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| com.hankcs.hanlp.classification.classifiers |
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| com.hankcs.hanlp.classification.collections |
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| com.hankcs.hanlp.classification.corpus |
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| com.hankcs.hanlp.classification.features |
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| com.hankcs.hanlp.classification.models |
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| com.hankcs.hanlp.classification.statistics |
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| com.hankcs.hanlp.classification.statistics.evaluations |
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| com.hankcs.hanlp.classification.tokenizers |
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| com.hankcs.hanlp.classification.utilities |
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| com.hankcs.hanlp.classification.utilities.io |
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| com.hankcs.hanlp.collection.AhoCorasick |
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| com.hankcs.hanlp.collection.dartsclone |
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| com.hankcs.hanlp.collection.dartsclone.details |
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| com.hankcs.hanlp.collection.MDAG |
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| com.hankcs.hanlp.collection.sequence |
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| com.hankcs.hanlp.collection.set |
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| com.hankcs.hanlp.collection.trie |
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| com.hankcs.hanlp.collection.trie.bintrie |
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| com.hankcs.hanlp.collection.trie.bintrie.util |
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| com.hankcs.hanlp.collection.trie.datrie |
可变双数组trie树，可以当做Map来用。
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| com.hankcs.hanlp.corpus.dependency.CoNll |
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| com.hankcs.hanlp.corpus.dependency.model |
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| com.hankcs.hanlp.corpus.dictionary |
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| com.hankcs.hanlp.corpus.dictionary.item |
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| com.hankcs.hanlp.corpus.document |
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| com.hankcs.hanlp.corpus.document.sentence |
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| com.hankcs.hanlp.corpus.document.sentence.word |
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| com.hankcs.hanlp.corpus.io |
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| com.hankcs.hanlp.corpus.occurrence |
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| com.hankcs.hanlp.corpus.synonym |
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| com.hankcs.hanlp.corpus.tag |
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| com.hankcs.hanlp.corpus.util |
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| com.hankcs.hanlp.dependency |
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| com.hankcs.hanlp.dependency.common |
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| com.hankcs.hanlp.dependency.nnparser |
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| com.hankcs.hanlp.dependency.nnparser.action |
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| com.hankcs.hanlp.dependency.nnparser.option |
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| com.hankcs.hanlp.dependency.nnparser.util |
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| com.hankcs.hanlp.dependency.perceptron |
本package是对Yara Parser的包装与优化，主要做了如下几点优化
- 代码重构，提高复用率（由于dynamic oracle需要在训练的过程中逐渐动态地创建特征，
所以无法复用HanLP的感知机框架，这也是为什么选择直接包装该模块而不是重新实现的原因之一。）
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| com.hankcs.hanlp.dependency.perceptron.accessories |
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| com.hankcs.hanlp.dependency.perceptron.learning |
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| com.hankcs.hanlp.dependency.perceptron.parser |
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| com.hankcs.hanlp.dependency.perceptron.structures |
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| com.hankcs.hanlp.dependency.perceptron.transition.configuration |
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| com.hankcs.hanlp.dependency.perceptron.transition.features |
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| com.hankcs.hanlp.dependency.perceptron.transition.parser |
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| com.hankcs.hanlp.dependency.perceptron.transition.trainer |
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| com.hankcs.hanlp.dictionary |
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| com.hankcs.hanlp.dictionary.common |
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| com.hankcs.hanlp.dictionary.nr |
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| com.hankcs.hanlp.dictionary.ns |
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| com.hankcs.hanlp.dictionary.nt |
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| com.hankcs.hanlp.dictionary.other |
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| com.hankcs.hanlp.dictionary.py |
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| com.hankcs.hanlp.dictionary.stopword |
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| com.hankcs.hanlp.dictionary.ts |
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| com.hankcs.hanlp.mining |
这个包下面是一些文本挖掘工具（主要是无监督方法）
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| com.hankcs.hanlp.mining.cluster |
文本聚类模块（k-means和repeated bisection）
参考文献 Steinbach M, Karypis G, Kumar V.
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| com.hankcs.hanlp.mining.phrase |
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| com.hankcs.hanlp.mining.word |
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| com.hankcs.hanlp.mining.word2vec |
Java移植版的word2vec，最大程度上与原版一致。
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| com.hankcs.hanlp.model |
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| com.hankcs.hanlp.model.bigram |
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| com.hankcs.hanlp.model.crf |
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| com.hankcs.hanlp.model.crf.crfpp |
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| com.hankcs.hanlp.model.hmm |
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| com.hankcs.hanlp.model.maxent |
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| com.hankcs.hanlp.model.perceptron |
感知机在线学习算法的线性序列标注模型。
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| com.hankcs.hanlp.model.perceptron.cli |
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| com.hankcs.hanlp.model.perceptron.common |
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| com.hankcs.hanlp.model.perceptron.feature |
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| com.hankcs.hanlp.model.perceptron.instance |
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| com.hankcs.hanlp.model.perceptron.model |
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| com.hankcs.hanlp.model.perceptron.tagset |
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| com.hankcs.hanlp.model.perceptron.utility |
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| com.hankcs.hanlp.model.trigram |
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| com.hankcs.hanlp.model.trigram.frequency |
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| com.hankcs.hanlp.recognition.nr |
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| com.hankcs.hanlp.recognition.ns |
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| com.hankcs.hanlp.recognition.nt |
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| com.hankcs.hanlp.seg |
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| com.hankcs.hanlp.seg.common |
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| com.hankcs.hanlp.seg.common.wrapper |
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| com.hankcs.hanlp.seg.CRF |
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| com.hankcs.hanlp.seg.Dijkstra |
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| com.hankcs.hanlp.seg.Dijkstra.Path |
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| com.hankcs.hanlp.seg.HMM |
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| com.hankcs.hanlp.seg.NShort |
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| com.hankcs.hanlp.seg.NShort.Path |
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| com.hankcs.hanlp.seg.Other |
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| com.hankcs.hanlp.seg.Viterbi |
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| com.hankcs.hanlp.seg.Viterbi.Path |
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| com.hankcs.hanlp.suggest |
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| com.hankcs.hanlp.suggest.scorer |
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| com.hankcs.hanlp.suggest.scorer.editdistance |
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| com.hankcs.hanlp.suggest.scorer.lexeme |
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| com.hankcs.hanlp.suggest.scorer.pinyin |
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| com.hankcs.hanlp.summary |
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| com.hankcs.hanlp.tokenizer |
一些常用的配置好的静态分词器,其中一些具备特殊的预处理功能
可供用户参考以实现自己的预处理逻辑.
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| com.hankcs.hanlp.tokenizer.lexical |
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| com.hankcs.hanlp.tokenizer.pipe |
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| com.hankcs.hanlp.utility |
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