概念层次网络(HNC)语言理解技术及应用  

Natural Language Understanding Technology Based on HNC Theory and its Application

作　　者：晋耀红[1] 

机构地区：[1]北京师范大学中文信息处理研究所,北京100875

出　　处：《云南师范大学学报（哲学社会科学版）》2010年第4期19-23,共5页Journal of Yunnan Normal University：Humanities and Social Sciences Edition

摘　　要：基于概念层次网络(HNC)理论的语言理解技术,就是4层级数学表示式的激活、扩展、浓缩、转换与存储的过程。HNC语言理解技术包括面向句子分析的句类分析,面向句群分析的语境单元萃取和面向篇章分析的语境生成。本文给出了HNC语言理解技术的整体架构,对几个重要模块的研究进展做了简要说明,并结合搜索引擎和机器翻译等应用,给出HNC语言理解技术的应用情况。The natural language understanding technology based on the theory of Hierarchical Network of Concepts （HNC theory） as well as its application is presented in this paper. The system consists of four parts： the digital representation of the theory, the evaluation platform of self-knowledge, the semantic analysis system and the related applications. This system also includes the sentence analysis, sentence group extracting and context generation. Finally, the entire HNC structure and the application of the Search Engine and machine translation are described.

关 键 词：概念层次网络 语言理解 句类分析 搜索引擎 机器翻译 

分 类 号：H08[语言文字—语言学] H0-05