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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: 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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Size: 55296 |
Author: 王同 |
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Description: 中文分词源程序， 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200KB，各种词典数据压缩后不到3M，是当前世界上最好的汉语词法分析器。- Linux_CDemo_32Bit_sample
Linux_CDemo_64Bit_sample
Linux_JNIDemo_32Bit_sample
Linux_JNIDemo_64Bit_sample
windows_cDemo_32_sample
windows_cDemo_64_sample
win_csharp_32_sample
win_csharp_64_sample
Win_JNI_32_sample
Win_JNI_64_sample
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Size: 93184 |
Author: Liuying |
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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。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200KB，各种词典数据压缩后不到3M，是当前世界上最好的汉语词法分析器。-Chinese lexical analysis is the basis for Chinese information processing and key. 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 6, has been upgraded to ICTCLAS3.0. ICTCLAS3.0 single segmentation speed 996KB/s, sub-word accuracy of 98.45 , API does not exceed 200KB, a variety of data compression dictionary in less than 3M, is currently the world' s best Chinese lexical analyzer.
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Size: 10334208 |
Author: 陈蓉 |
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Description: ICTCLAS50_Windows_64_JNI
ICTCLAS的API，文档等-ICTCLAS50_Windows_64_JNI
ICTCLAS的API，doc etc。
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Size: 9107456 |
Author: victor |
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Description: 详细介绍了ictclas的接口文档，主要包括c++、java以及c#-about the citclas s api,include c++\java and c#
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Author: lavender |
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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；支持繁体中文；支持gb2312、GBK、UTF8等多种编码格式。 ICTCLAS分词速度单机500KB/s，分词精度98.45 ，API不超过100kb，各种词典数据压缩后不到3M，是世界上最好的汉语词法分析器。
-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 development of a Chinese lexical analysis system ICTCLAS (Institute of Computing Technology, Chinese Lexical Analysis System), the main features include Chinese word POS tagging named entity recognition new word recognition also supports user dictionaries support Traditional Chinese support gb2312, GBK, UTF8 and other encoding formats. ICTCLAS single word speed 500KB/s, word accuracy of 98.45 , API does not exceed 100kb, a variety of dictionary data compression in less than 3M, is the world' s best Chinese lexical analyzer.
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Size: 9239552 |
Author: huangfei |
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Description: 中科院分词工具，要运行还需要去官网上下载其他文件。 可以大概根据该文件知道API-The CAS segmentation tools to run need to download other files Quguan online. Can probably know that according to the file API
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Size: 2048 |
Author: 林芮 |
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