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Chinese Grammar Corpus System Design

Posted on:2007-04-28Degree:MasterType:Thesis
Country:ChinaCandidate:P GuoFull Text:PDF
GTID:2208360182986078Subject:Computer applications
Abstract/Summary:PDF Full Text Request
Chinese language as the study object of NLP is carried out for a lot of years. Analysis and study of the semantic is more and more put to use in NLP study course because of Chinese study's characters. In that the result about semantic analysis changes uneasily to the formational style of express, it can not be accepted and handled by computer. Then, we need find a better way to describe it in NLP.The syntactic analysis is on the level of the semantic analysis. It describes the kinds of language phenomena, and the result of the syntactic analysis is easier to be concluded and to change to formational style. All of this is in its formational knowledge . Because the Chinese language study needs a language environment, the corpus is put into this paper study.The paper introduces the development of the NLP and the internal important achievements. Because of the characters of the Chinese language, combined with these achievements, it concludes the base process of NLP study.The paper reclassifies some knowledge of the Chinese syntax and describes the relationship among them, based on he characters of NLP and computer's process. And it advances a conception named Character Extract and describes its content and functions.The paper draws the research means and techniques of the corpus into this system, based on the need of the study about the Chinese syntax and NLP. It detailed studies the structure of the Chinese syntax corpus, and builds up the Chinese syntax rules DB, and designs the visit ways among the data tables. Besides, it improves the way of the automatic words segmentation.The paper designs the application programs about the corpus application and the DB management to perfect the whole system.
Keywords/Search Tags:NLP, Chinese Syntax, Semantic, Corpus, Character Extract, Automatic Words Segmentation
PDF Full Text Request
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