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[MultiLanguageSharpICTCLAS

Description: Sharp ICTCLAS分词系统,对ICTCLAS分词系统进行了详尽的分析,并将代码移植到C#。-Sharp ICTCLAS segmentation system, right ICTCLAS segmentation system for a detailed analysis, and code to C# transplantation.
Platform: | Size: 2910330 | Author: 郝云龙 | Hits:

[Other resourceSharpICTCLAS

Description: 只是中科院分词系统的SharpICTCLAS分词系统,挺好的一个软件
Platform: | Size: 2478824 | Author: 周红伟 | Hits:

[Search Enginesharpictclas

Description: sharpictclas分词系统_1.0,一个用CSHARP编写的分词系统
Platform: | Size: 1974834 | Author: 柳飞 | Hits:

[OtherSharpICTCLAS分词系统_1.0.rar

Description: 暂无
Platform: | Size: 1974567 | Author: asdf123456 | Hits:

[MultiLanguageSharpICTCLAS

Description: Sharp ICTCLAS分词系统,对ICTCLAS分词系统进行了详尽的分析,并将代码移植到C#。-Sharp ICTCLAS segmentation system, right ICTCLAS segmentation system for a detailed analysis, and code to C# transplantation.
Platform: | Size: 2910208 | Author: 郝云龙 | Hits:

[AI-NN-PRSharpICTCLAS

Description: 只是中科院分词系统的SharpICTCLAS分词系统,挺好的一个软件-Only the Chinese Academy of Sciences SharpICTCLAS segmentation system segmentation system, a very good software
Platform: | Size: 2576384 | Author: 周红伟 | Hits:

[Search Enginesharpictclas

Description: sharpictclas分词系统_1.0,一个用CSHARP编写的分词系统-sharpictclas Word Segmentation System _1.0, one prepared by CSharp Word Segmentation System
Platform: | Size: 1974272 | Author: 柳飞 | Hits:

[CSharpsharpictclas

Description: 中科院分词系统的CSharp版,采用隐马尔科夫模型,识别率非常高-Word Segmentation System, Chinese Academy of Sciences CSharp version
Platform: | Size: 1917952 | Author: xjj | Hits:

[Search EngineSharpICTCLAS

Description: ICTCLAS分词的总体流程包括:1)初步分词;2)词性标注;3)人名、地名识别;4)重新分词;5)重新词性标注这五步。就第一步分词而言,又细分成:1)原子切分;2)找出原子之间所有可能的组词方案;3)N-最短路径中文词语粗分三步。 在所有内容中,词典库的读取是最基本的功能。ICTCLAS中词典存放在Data目录中,常用的词典包括coreDict.dct(词典库)、BigramDict.dct(词与词间的关联库)、nr.dct(人名库)、ns.dct(地名库)、tr.dct(翻译人名库),它们的文件格式是完全相同的,都使用CDictionary类进行解析。如果想深入了解ICTCLAS词典结构,可以参考sinboy的《ICTCLAS分词系统研究(二)--词典结构》一文,详细介绍了词典结构。 -ICTCLAS word of the overall process include: 1) initial segmentation 2) POS tagging 3) names, places identification 4) to re-word 5) This five-step re-speech tagging. The first word, the thin, divided into: 1) atom splitting 2) to identify all the possible atomic set of words between the program 3) N-shortest paths Chinese words rough three steps.
Platform: | Size: 1965056 | Author: ounata | Hits:

[CSharpSharpICTCLAS.net1.1

Description: 这是用C#编写的简单的中文分词程序,采用的是键树。-This is written in C# using simple Chinese word segmentation procedure is the key tree used.
Platform: | Size: 75776 | Author: 星光 | Hits:

[Windows DevelopSharpICTCLAS

Description: SharpICTCLAS分词系统,是一种应用较为广泛的分词系统,适用于网络采集文字后的分词。-SharpICTCLAS word segmentation system is a sub-word is widely used systems for network segmentation after the text collection.
Platform: | Size: 5662720 | Author: SUN JIECONG | Hits:

[.netBayes

Description: 用bayes实现的聚类算法,分词采用的是SharpICTCLAS分词系统 1.0-Achieved using bayes clustering algorithm, word segmentation is used SharpICTCLAS System 1.0
Platform: | Size: 13979648 | Author: Fu | Hits:

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