基于机器理解的汉语隐喻分类研究初步  

Research into Machine Understanding-based Classification of the Metaphor of Chinese

作　　者：杨芸[1] 周昌乐[1] 王雪梅[1] 戴帅湘[1] 

机构地区：[1]厦门大学计算机科学系人工智能研究所,厦门361005

出　　处：《中文信息学报》2004年第4期31-36,共6页Journal of Chinese Information Processing

基　　金：福建省自然科学基金资助 (A0 2 1 0 0 0 5 )

摘　　要：本文将汉语隐喻分类计算模型的研究引入汉语的机器理解当中 ,通过对大规模汉语隐喻语料的研究分析 ,结合汉语隐喻的认知特征 ,笔者构建了一套基于理解的汉语隐喻分类体系。分类主要以汉语隐喻句中本体和喻体的内在相似性作为切入点 ,从隐喻理解的方式、理解的难易程度以及理解所涉及的相关知识结构等方面进行综合分析 ,同时 ,辅以真实语料的统计分析 ,对分类的合理性作出了验证和修订 ,最终给出了基于理解的汉语隐喻分类体系 。This paper introduces computational model of Chinese metaphor in machine understanding of Chinese. By analyzing large scale Chinese metaphor samples, we have classified Chinese metaphor based on understanding. The cognitive features of Chinese metaphor are also considered to improve our classification. The classification focuses on the similarity of the tenor and vehicle in a metaphor, showing the mode and difficulty of metaphor understanding. The relevant knowledge in metaphor understanding is also discussed. The classification is statistically verified. Whats more, a program is developed to validate the rationality of our classification. Finally, a system of understanding based classification of Chinese metaphor has been put forward. A comparison with other classification is listed. And a linguistic explaining of the system is given at the end of the paper.

关 键 词：计算机应用 中文信息处理 隐喻 分类 计算模型 相似性 

分 类 号：TP391.2[自动化与计算机技术—计算机应用技术]