| 自然语言理解的机器认知形式系统 |
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| 引用本文： | 黄培红. 自然语言理解的机器认知形式系统[J]. 计算机工程与科学, 2007, 29(6): 113-116 |
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| 作者姓名： | 黄培红 |
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| 作者单位： | 莆田市农业银行,福建,莆田,351100 |
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| 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。
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| 关 键 词： | 自然语言理解 机器理解 知觉 |
| 文章编号： | 1007-130X（2007）06-0113-04 |
| 修稿时间： | 2006-09-132006-12-28 |
Formalization of Natural Language Understanding |
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| HUANG Pei-hong. Formalization of Natural Language Understanding[J]. Computer Engineering & Science, 2007, 29(6): 113-116 |
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| Authors: | HUANG Pei-hong |
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| Affiliation: | Putian Agricultural Bank of China, Putian 351100, China |
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| 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. |
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| Keywords: | natural language understanding machine understanding perception |
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