搜索资源列表
POS_tagging_and_HMM
- 词性标注与隐马尔可夫模型.ppt，相当好的说明材料。-part-of-speech tagging and Hidden Markov Model. Ppt, very good descr iptive material.
07S051098
- 通过隐马尔可夫模型做词性标注,即给定一个句子,得到它的最优词性序列
POS_tagging_and_HMM
- 词性标注与隐马尔可夫模型.ppt，相当好的说明材料。-part-of-speech tagging and Hidden Markov Model. Ppt, very good descr iptive material.
07S051098
- 通过隐马尔可夫模型做词性标注,即给定一个句子,得到它的最优词性序列-To do through the Hidden Markov Model-of-speech tagging, that is, given a sentence, be it the optimal part of speech sequence
Unsupervise
- 利用隐马尔可夫模型实现词性标注。此为无监督模型。 内含语料库和测试集。方便大家学习。-The use of Hidden Markov Model to achieve part of speech tagging. This is no oversight model. Corpus and the test set contains. To facilitate them to learn.
MM2
- 利用隐马尔可夫模型实现词性标注。此为无监督模型。 内含语料库和测试集。方便大家学习。--Transition Matrix and Emission Matrix of Hidden Markov Model
PoS-Tagging-based-on-HMM
- 基于隐马尔科夫的中文词性标注系统的C++源代码，包括训练集和测试集语料库，单词量和词性数目都没有写死，可适应任意大的训练和测试数据集，程序已经过优化，一次标注只需要不到10秒的时间。-Based on Hidden Markov of the Chinese part of speech tagging system in C++ source code, including the training set and test set
NLP-speech-tagging
- 基于隐马尔可夫模型的中文分词、词性标注、命名实体识别-Based on Chinese word hidden Markov model, speech tagging, named entity recognition