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Description: 中科院ICTCLAS最新free开放源代码，里面有中文分词算法，大家一起共同学习和研究，对搜索引擎中文分词方面有很大用处哦！-Chinese Academy of Sciences ICTCLAS latest free open-source, which has Chinese word segmentation algorithm, everybody together to study and research on Chinese word segmentation search engines have great usefulness Oh!
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Author: 刘俊轩 |
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Description: 汉语词法分析系统ICTCLAS(Institute of Computing Technology, Chinese Lexical Analysis System)-Chinese Lexical Analysis System ICTCLAS (Institute of Computing Technology, Chinese Lexical Analysis System)
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Author: 林晓庆 |
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Description: 中科院的分词程序
可得到比较满意的分词结果 正确率较高-Chinese Academy of Sciences of the segmentation process can be relatively satisfied with the results of the sub-word accuracy rate higher
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Author: 刘力源 |
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Description: 中科院计算所一博士在ictclas基础上改写的java调用接口，有demo有使用说明-Chinese Academy of Sciences by a calculation based on Dr. ictclas call to rewrite the java interface, and demo use Description
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Author: 杜亮 |
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Description: 基于中科院的ICTCLAS实现中文分词系统 开发工具是JAVA.经测试,效果很好-ICTCLAS based on the achievement of the Chinese Academy of Sciences of the Chinese word segmentation system development tools are JAVA. After testing, the effect of good
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Author: 周为 |
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Description: 基于ictclas的中文分词系统在Eclipse3.3中的使用例子-Ictclas based on the Chinese word segmentation system in the use of examples Eclipse3.3
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Author: ivor |
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Description: 中科院的汉语词法分析系统ICTCLAS,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。
-Chinese Academy of Sciences of the Chinese lexical analysis system ICTCLAS, main functions, including Chinese word segmentation-of-speech tagging Named Entity Recognition new word identification at the same time to support the user dictionary.
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Author: xuli |
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Description: 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. Institute of Computing Technology, Chinese Academy of Sciences in the accumulation of years of research work on the basis of the development of the Chinese lexical analysis system ICTCLAS (Institute of Computing Technology, Chinese Lexical Analysis System)
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Author: sunhaichao |
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Description: 汉语词法分析系统ICTCLAS(Institute of Computing Technology, Chinese Lexical Analysis System)，该系统的功能有：中文分词；词性标注；未登录词识别。分词正确率高达97.58 (973专家组评测)，未登录词识别召回率均高于90 ，其中中国人名的识别召回率接近98 处理速度为31.5Kbytes/s。ICTCLAS的特色还在于：可以根据需要输出多个高概率结果，有多种输出格式，支持北大词性标注集，973专家组给出的词性标注集合。该系统得到了专家的好评，并有多篇论文在国内外发表。-Chinese Lexical Analysis System ICTCLAS (Institute of Computing Technology, Chinese Lexical Analysis System), the system s features are: Chinese word segmentation-of-speech tagging unknown word identification. The correct segmentation rate of 97.58 (973 expert group evaluation), identification of unknown word recall rate were higher than 90 , one of the Chinese names to identify the recall rate of nearly 98 rate of treatment 31.5Kbytes/s. Also features ICTCLAS is: can output a number of high probability of a result, have a variety of output formats, to support the Beijing University of-speech tagging sets, 973 expert group give a collection of-speech tagging. The system has been praised by experts, and a number of papers published at home and abroad.
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Author: lwl |
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Description: 中科院分词系统VC++版本，在VS2005下编译通过，含有所有源代码，可以保证在中科院算法上，自己添加新的想法，或者对已有的算法进行优化。-Word Segmentation System, Chinese Academy of Sciences VC++ version at compile under VS2005 passed, containing all the source code, algorithms can guarantee at the Chinese Academy of Sciences on, add their own new ideas, or algorithms have been optimized.
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Author: 吴晓明 |
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Description: 对ICTCLAS的API进行了包装，提供了一个LexUtil的工具类，用来简化对ICTCLAS的API的调用。
本项目是netbeans工程格式。-Wraping ICTCLAS API to generate a utility class LexUtil to faciliate the use of ICTCLAS.
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Author: 丁一 |
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Description: 分词，国内比较著名的一款开源分词软件。ICTCLAS是中科院两位教授编写的，十分经典-Segmentation, the Mainland and a well-known open source software word. Chinese Academy of Sciences ICTCLAS is prepared by two professors, very classic
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Author: dayu |
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Description: 计算所汉语词法分析系统ICTCLAS.分词正确率高达97.58 (973专家组评测)，未登录词识别召回率均高于90 ，其中中国人名的识别召回率接近98 处理速度为31.5Kbytes/s。ICTCLAS的特色还在于：可以根据需要输出多个高概率结果，有多种输出格式，支持北大词性标注集，973专家组给出的词性标注集合。这是最新版的API接口文档，有详细的示例。-Calculation of the Chinese lexical analysis system ICTCLAS. Segmentation correct rate of 97.58 (973 Expert Group on Evaluation), unknown word recognition than the recall rate of 90 percent, of which the recognition of China to recall the names of persons close to 98 of processing speed for 31.5Kbytes/s. Also features ICTCLAS is: can output the results of a number of high probability, there are a variety of output formats, to support the North-of-speech tagging sets, 973 expert group is given a collection of-speech tagging. This is the latest version of the API interface documentation, detailed examples.
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Author: 王同 |
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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.
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Author: ounata |
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Description: 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。ICTCLAS全部采用C/C++编写，支持Linux、FreeBSD及Windows系列操作系统，支持C/C++/C#/Delphi/Java等主流的开发语言。-Chinese lexical analysis is the basis of Chinese information processing and key. Institute of Computing Technology, Chinese Academy of research accumulated over the years based on the successful development of a Chinese Lexical Analysis System ICTCLAS (Institute of Computing Technology, Chinese Lexical Analysis System), the main features include Chinese word speech tagging named entity recognition new words recognition also supports user dictionaries. ICTCLAS all use C/C++ written in support of Linux, FreeBSD and Windows family of operating systems, support for C/C++/C#/Delphi/Java and other mainstream development language.
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Author: 火山 |
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Description: ictclas c++版源代码，适用于C++语言的学习和中文分词算法的研究。-ictclas c++ version of the source code for C++ language learning and Chinese word segmentation algorithm.
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Author: gaowei |
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Description: ICTCLAS linux环境下借口和源文件，同时包含例子。是国内一个非常好的开源中文分词系统。-ICTCLAS linux
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Author: linxinze |
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Description: 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7次，目前已经升级到了ICTCLAS2009。-Institute of Computing Technology, Chinese Academy of research accumulated over the years, based on the production of the Chinese Lexical Analysis System ICTCLAS (Institute of Computing Technology, Chinese Lexical Analysis System), the main features include Chinese words POS tagging named entity recognition new words recognition also supports user dictionaries. We have carefully built five years to upgrade the kernel 7 has now been upgraded to ICTCLAS2009
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Author: huyunfei |
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Description: 计算所汉语词法分析系统之免费版本ICTCLAS.非收费之源代码。
分词正确率高达97.58 (973专家组评测)，未登录词识别召回率均高于90 ，其中中国人名的识别召回率接近98 处理速度为31.5Kbytes/s。ICTCLAS的特色还在于：可以根据需要输出多个高概率结果，有多种输出格式，支持北大词性标注集，973专家组给出的词性标注集合。--Calculate the Chinese Lexical Analysis System ICTCLAS. Segmentation correct rate of 97.58 percent (973 Expert Group on Evaluation), the recall rate of identification of unknown words were higher than 90 percent, of which China s name to identify the recall rate of nearly 98 percent processing speed for 31.5Kbytes/s. Also features ICTCLAS is: can output a number of high probability that there are a variety of output formats, to support the North-of-speech tagging sets, 973 expert group is given a collection of-speech tagging.
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Author: 辆新 |
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Description: 这篇文档会对想要深入学习中文分词的同志有所帮助，通过详细具体地分析现在一款非常热的ICTCLAS源码，能够让读者在阅读后能自己开发改进分词工具。-This document will want to thoroughly study Chinese word comrades help, through detailed and specific analysis of a very hot now ICTCLAS source code, to allow readers will be able to develop their own tools to improve the word.
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Author: 00 |
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