计算机科学 ›› 2011, Vol. 38 ›› Issue (11): 187-190.

• 人工智能 • 上一篇    下一篇

数据库语义学与自然语言交流

冯秋香,Roland Hausser,汪榕培   

  1. (大连理工大学计算机科学与技术学院 大连116024) (德国爱尔兰根一纽伦堡大学计算语言学系 爱尔兰根91054)
  • 出版日期:2018-12-01 发布日期:2018-12-01

Database Semantics and Natural Language Communication

  • Online:2018-12-01 Published:2018-12-01

摘要: 数据库语义学(Database Semantics)是德国爱尔兰根一纽伦堡大学Hausscr教授于20世纪90年代提出的面向计算机自然语言处理的程序化语义学理论。这一理论不同于以往任何以元语言为基础的语义分析方法,它将自然语言的理解与生成建构为角色(即听者和说者)转换的规则理论体系。该理论建构自然语言交流模型的两个核心基础是左结合语法((LA)和词库数据结构(word bank)。以古汉语为例介绍和分析这一理论,通过顺次应用LA语法的3个变体:LA-hear, LA-think和LA-speak说明DI3S理解和生成自然语言的过程。

关键词: 自然语言,句法语义分析,左结合语法,数据库

Abstract: Database Scmantics(DBS),initiated by Prof. Hausscr in 1990’s as a linguistic framework for computational modeling of natural language communication, treats the agent' s switching back and forth between the speaker and the hearer mode as a well-defined and well-motivated computational problem. As a procaiural approach aiming at a systematic general model of cognition, differing from those etalanguagcbased theories, DI3S has two innovative basis, namely,the time-linear motor algorithm of LA-grammar(Left Associative grammar) and the data structure of word bank.With its application to the ancient Chinese as an example, we attempted to provide an introduction to the DBS under-standing and production of natural language in the sense of the functioning of three LA-grammar variables, i. e.,LA-hear, LA-think and LA-speak.

Key words: Natural language, Syntactic and semantic analysis, LA-grammar, Database

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