词语相似度计算研究

Research on word similarity measurement

词语相似度计算是自然语言处理、智能检索、文档聚类、文档分类、自动应答、词义排歧和机器翻译等很多领域的基础研究课题。本文首先讨论了词语相似度计算的应用背景,然后总结了词语相似度计算的两类策略,包括每类策略的思想、依赖的工具和主要的方法,并对这两类策略进行了简单的比较。

Word similarity measurement is a basic research topic in the fields of nature language processing, intelligent retrieval, document clustering, document classification, automatic question answer, word sense disambiguation, machine translation, etc. This paper firstly discusses the background of the application of word similarity measurement, then two strategies of word similarity measurement are summarized, including their ideas, tools and main methods. Finally, the two strategies are compared.