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基于语义知识的汉语句法结构排歧
引用本文:苑春法 黄锦辉. 基于语义知识的汉语句法结构排歧[J]. 中文信息学报, 1999, 13(1): 2-9
作者姓名:苑春法 黄锦辉
作者单位:1.清华大学计算机系,“智能技术与系统”国家重点实验室2.香港中文大学系统工程与工程管理学系
摘    要:汉语在词类这个语言层次上存在着许多歧义结构,这给汉语的自动句法分析带来了难以逾越的障碍。通过寻找汉语语义类之间可能存在的句法关系建立汉语语义关联网,这为用汉语语义知识来解决句法歧义开辟了道路。文章针对具体的汉语歧义结构研究具体的解决办法,从而减少了计算的复杂度。

关 键 词:语义关联网  依存语法  句法树  

Chinese Syntactic Structure Disambiguation Based on Semantic Knowledge
Yuan Chunfa Dept. of Computer Science,Tsinghua University Key State Laboratory of Intelligent Technology and System Kam-Fai Wong and Li Wenjie Dept. of SE , EM,The Chinese University of Hong Knog. Chinese Syntactic Structure Disambiguation Based on Semantic Knowledge[J]. Journal of Chinese Information Processing, 1999, 13(1): 2-9
Authors:Yuan Chunfa Dept. of Computer Science  Tsinghua University Key State Laboratory of Intelligent Technology  System Kam-Fai Wong  Li Wenjie Dept. of SE & EM  The Chinese University of Hong Knog
Affiliation:1.Dept . of Computer Science , Tsinghua University;Key State Laboratory of Intelligent Technology and System2.Dept. of SE & EM , The Chinese University of Hong Kong
Abstract:There are too many syntactic ambiguities in the Chinese, and it is not easy to parse the Chinese sentences automatically only with the Part of Speech (POS) tagging. In order to overcome this barrier we looked for the possible syntactic relations between the semantic clas ses, then built a Chinese Semantic Associate Net (CSAN). Using the CSAN we find a way to solve the problem about the syntactic ambiguities. In this way we do not try to solve all the ambiguities, we only try to solve the certain kind of ambiguities using a special method. So our method is effective.
Keywords:Chinese Semantic Associate Net Dependency Grammar Syntactic Tree  
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