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tmsvm_src_v1.1.0
- SVM中文分词分类器的python实现，在LINUX环境下运行不需太多配置和代码修改。-SVM for Chinese word classification python implementation running under LINUX environment without too much configuration and code changes.
python-ictclas
- 运用python编写的中文分词，运行try文件并将路径改变就可以实现中文分词 中文存储在txt文档中-Use python to write the Chinese word, you can run try to change file and path to achieve the Chinese word Chinese storage txt document
work
- 贝叶斯下文本分类器，python语言，包括中文分词和英文分词(Bias's lower text classifier, python language, including Chinese participle and English participle)
ChPreprocess
- 使用jieba包从excel表中读取数据，进行中文分词，预料分析(Using Jieba package for Chinese analysis, expected analysis)
chinese_seg_update
- 中文分词，采用逆向最大匹配方法实现，利用字典作为索引(The Chinese word segmentation is realized by the reverse maximum matching method, and the dictionary is used as the index.)
chinese_wordseg_keras-master
- 这个程序是用来做中文分词的程序，用Python写的(This program is used to do Chinese word segmentation program, written in Python)
HMM-master
- 隐马尔科夫模型进行中文分词 模型训练 python HMM_train.py RenMinData.txt_utf8 RenMinData.RenMinData_utf8 为人民日报已经人工分词的预料。 生成三个文件 * prob_start.py 为模型的初始概率 * prob_trans.py 为模型状态转移概率 * prob_emit.py 为发射概率 测试模型效果 python HMM.py reference 维特比算法：(python