基于汉语自然语言信息查询的计算机理解实现

文中根据汉语的二层语义分析结构。深层语义结构-语意指向，表层语义结构-语义指向：针对四种汉语疑问句型进行具体分析其在计算机理解实现中的理论方法和规则；在进行正确的汉语词汇切分之后；根据语意指向与语义指向建立起各词汇的本体言语和本体行为标注，进行组合词汇生成符合语意的短语，再进行本体行为转化为本体言语的研究，归结为专业数据库的语义；最后通过实验系统得以验证。

Implementation of Computer Understanding Based on Chinese Natural Language Querying

The information querying of Chinese natural language sentence sums up that of Chinese interrogative sentence.The two analyzing structures of the Chinese semantic meaning are presented in the thesis.The deep structure semantic meaning is the most basic semantic meaning pointing to the Chinese natural language(BMNL).The surface structure semantic meaning is the semantic meaning pointing to the Chinese natural language(MNL).The theoretical methods and rules have been set up for computer understanding with four interrogative sentences.After Chinese words are segmented rightly,the ontology diction and ontology action's markup should be identified for each Chinese word based on the BMPCNL and the MPCNL,and then the phrase can be combined according to the BMPCNL.How the ontology action changes into the ontology language should be studied in order to sum up the semantic meaning of specialty database.At last a test is given to verify the theory and method.