• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2007, Vol. 29 ›› Issue (6): 113-116.

• 论文 • 上一篇    下一篇

自然语言理解的机器认知形式系统

黄培红   

  • 出版日期:2007-06-01 发布日期:2010-06-03

  • Online:2007-06-01 Published:2010-06-03

摘要:

自然语言理解是人工智能研究中的热点和难点之一。基于现有的相关理论,本文提出自然语言理解的形式化定义,以及改进相关的公理系统,从而统一“意思理解”和“道理理解”等两种理解类型。通过设计、开发和运行“篇章理解原型程序”,验证理论成果的正确性和有效性。

关键词: 自然语言理解 机器理解 知觉

Abstract:

The understanding of natural languages on machines is one of the ditticult topics in artificial intelligence. Based on the current theory, the formali zation of natural language understanding is defined and its axiom system is improved in this paper. In this system, the two understanding types of ‘mea  aning understanding’ and ‘logic understanding’ are unified. According to the outputs from the execution of a prototype program for understanding chap   p, ters, the correctness and validity of all theoretical results presented in this paper are verified.

Key words: (natural language understanding, machine understanding, perception)