nlpirictclas2014分词系统介绍(Nlpirictclas2014分词系统介绍).docVIP

nlpirictclas2014分词系统介绍(Nlpirictclas2014分词系统介绍).doc

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nlpirictclas2014分词系统介绍(Nlpirictclas2014分词系统介绍)

nlpirictclas2014分词系统介绍(Nlpirictclas2014分词系统介绍) Readme Welcome to NLPIR/ICTCLAS2014, a word segmentation system NLPIR segmentation system formerly known as the 2000 release of the ICTCLAS lexical analysis system, from the beginning of 2009, in order to work large segment, and NLPIR platform for the promotion of Natural Language Processing with information retrieval and sharing, adjust the segmentation system named NLPIR. Dr. Zhang Huaping has ten years of effort to build and upgrade the kernel for more than ten times, has won the 2010 Qian Weichang prize Chinese information processing science and technology award, the 2003 International SIGHAN segmentation contest comprehensive first, in 2002 973 the first domestic comprehensive evaluation. The global users exceeded 300 thousand, including China Mobile, HUAWEI, search, 3721, NEC, China business network, Silicon Valley power, Yunnan daily and other enterprises, Tsinghua University, Xinjiang University, South China University of technology, University of Massachusetts and other institutions. At the same time, ICTCLAS is widely used by the Science Times, peoples Daily overseas edition, science and Technology Daily and many other media reports. You can visit the Google to further understand the application of ICTCLAS. We provide two times the development of interface, especially welcome related scientific research personnel, engineering and technical personnel, and promised to non permanent free commercial application sharing strategy. Visit / (Natural Language Processing and information sharing platform), you can get the latest version of the NLPIR system, and welcome your attention to the exchange of sina micro-blog @ICTCLAS Zhang Huaping and Dr. Zhang Huaping. Two, package introduction | Readme.txt-------------------------- | +---bin | +---DocExtractor----------- document textual semantic extraction system | | DocExtractor.bat-- batch, can carry out semantic extraction for the specified folder | | DocExtractor.dll-- s

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