编辑距离在语言分类研究中的应用  

Application of Levenshtein Distance in Researching Language Classification

作　　者：赵志靖[1] Zhao Zhijing(School of Journalism and Communication,Yangzhou University,Yangzhou 225009,China)

机构地区：[1]扬州大学新闻与传媒学院,江苏扬州225009

出　　处：《现代语文》2018年第5期119-124,共6页Modern Chinese

基　　金：江苏高校哲学社会科学研究项目"基于编辑距离的江苏方言亲疏关系的计量研究"[项目编号:2015SJB783];教育部人文社会科学研究青年基金项目"江苏方言语音相似关系的计量研究"[项目编号:15YJC740141]

摘　　要：编辑距离是一种距离测量法,源于将一个字符串变换为另一个字符串所需要的编辑操作数。该方法能够自动将语言进行分类,最近这些年在西方很受关注。文章结合国外两个语言学研究对其应用做了分析讨论。针对Greenhill对于编辑距离语言分类方法的质疑,文章认为其有改进的空间,同时,应该探索其在汉藏语系语言研究中的应用。Abstract： The Levenshtein Distance is a distance metric derived from the number of edit operations needed to transform one string into another. This metric has received recent attention in Western countries as a means of automatically classifying languages into genealogical subgroups. In this paper, this metric and its application are analyzed and discussed by two linguistic researches. Aiming at Greenhill＇s question the method of the Levenshtein classification, this paper argues that the algorithm of the Levenshtein Distance has space for improvement. At the same time, we should explore its application in the Sino-Tibetan languages.

关 键 词：编辑距离 同言线 ASJP 语言分类 

分 类 号：H003[语言文字—语言学]