搜索资源列表
SplitCNWord
- 一个中文分词的实现及演示程序,可用与中文和英文词组的分割.-a Chinese word achieve and demonstrate the procedure can be used with the Chinese and English phrase segmentation.
hlssplit
- 海天智能分词系统源码,可以根据需要设置分词的粒度,另外提供了词性标注,关键字提取等功能-sky Intelligent Word system source code, according to the need for segmentation of granularity, the provision of tagging, keyword extraction functions
JavaSplitWord
- 国内最好的开源分词系统-中科院分词系统的Java版,可以直接在JSP下调用-the best domestic revenue segmentation system-CAS-word version of Java, JSP can be directly under the Call
je-analysis1.40
- 中文分词系统，免费提够接口，实现对中文的分词-Chinese word segmentation system, providing free enough interface, the realization of the Chinese word
cutdic
- 用于中文分词的切分词典,还有词性标注,以这个词典数据库为基础建立文本分类,文本检索或文本过滤可以节省很多时间.很全,强烈推荐!-for the Chinese word segmentation Dictionary, and tagging to the dictionary database based text classification, text retrieval or text filtering can save a lot of time. All very strongly
windows_JNI_64bit
- Ictclas分词系统，文词法分析是中文信息处理的基础与关键。中国科学院计算技术研究所在多年研究工作积累的基础上，研制出了汉语词法分析系统ICTCLAS(Institute of Computing Technology, Chinese Lexical Analysis System)-Ictclas segmentation system, the lexical analysis is the basis of Chinese information processing and key.
splitWord
- 实现了汉语分词的功能，给一篇txt的汉语文章，该段代码就能把其中的每个词分开来-Realize the function in Chinese word segmentation, giving a txt of the Chinese article, this section of the code will be able to distinguish between each of these words
Assignment_LOG
- Segmentation using laplacian and LOG in Matlab
ctbparser_0.10.tar
- ctbparser是一个开源的中文句法分析工具包，用于分词、词性标注、依存句法分析-ctbparser is an open source Chinese parsing toolkit for Chinese word segmentation, POS tagging, dependency parsing
ctbparser_0.11.tar
- ctbparser是一个开源的中文句法分析工具包，用于分词、词性标注、依存句法分析-ctbparser is an open source Chinese parsing toolkit for Chinese word segmentation, POS tagging, dependency parsing
windows_c_32
- 中文词法分析是中文信息处理的基础与关键。中国科学院计算技术研究所在多年研究工作积累的基础上，研制出了汉语词法分析系统ICTCLAS(Institute of Computing Technology, Chinese Lexical Analysis System)，主要功能包括中文分词；词性标注；命名实体识别；新词识别；同时支持用户词典。我们先后精心打造五年，内核升级6次，目前已经升级到了ICTCLAS3.0。ICTCLAS3.0分词速度单机996KB/s，分词精度98.45 ，API不超过2