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。
The understanding of natural languages on machines is one of the ditticult topics in artificial intelligence. Based on the current theory, the formalization of natural language understanding is defined and its axiom system is improved in this paper. In this system, the two understanding types of ‘meaning understanding’ and ‘logic understanding’ are unified. According to the outputs from the execution of a prototype program for understanding chap, ters, the correctness and validity of all theoretical results presented in this paper are verified.
出处
《计算机工程与科学》
CSCD
2007年第6期113-116,共4页
Computer Engineering & Science
关键词
自然语言理解
机器理解
知觉
natural language understanding
machine understanding
perception
