基于词形模糊归并的英文同义关系发现研究  

Research on the Discovery of Relationship between the Synonyms Based on the Morphology Fuzzy Merger

作　　者：宋培彦[1] 袁旭[1] 

机构地区：[1]中国科学技术信息研究所,北京100038

出　　处：《数字图书馆论坛》2012年第12期53-57,共5页Digital Library Forum

基　　金：本文系国家“十二五”科技支撑计划“面处外文科技文献的超级科技词表和本体建设研究”（编号：2011BAH10B01）研究成果之一.

摘　　要：同义关系是构建知识组织系统的重要方面。从词汇语义学角度对术语同义关系类型加以界定，采用词形还原工具Norm获得英文术语原形，获得同义词候选集，进而基于词形模糊归并模型确定同义关系。实验结果表明，基于词形的模糊归并有助于提高术语同义关系的构建效率。Synonymy is an important aspect of building knowledge organization system. According to lexical semantics, this paper proposes the type of relationship between the synonyms and uses the Norm Lexical Tools which can obtain the prototype of English terminology to find the relationship between the synonyms based on the morpology fuzzy merger. The result of experiment indicates that fuzzy merger method based on morphology can improve the efficiency of construction in the relationship of synonyms.

关 键 词：词形还原 术语 同义词 模糊归并 

分 类 号：H313[语言文字—英语]