Abstract: Multi word expression is a special language phenomenon, which is combination of words. As a block of meaning, multi word expression appears together more often than by chance. They play more important role in natural language processing applications. In this study, it explores the effect of three more used statistical methods on extracting multi word expression in Uyghur texts. The three methods contain mutual information, log-likelihood and chi-square. According to the characteristics of Uighur, it adds stemmed form of words as features of extraction methods. On the choosing corpus, it considers the coverage and field, and explores its effect on extraction methods.

Key words: collocation, mutual information, log-likelihood, chi-square, Uyghur

摘要： 多词表达是特殊的语言现象，一般由多个词构成来表示一个意义，语料中常出现在一起。多词表达因是特殊的单元，其抽取在自然语言处理的很多领域有着非常重要的作用。讨论了目前常见的三种统计方法即互信息、对数似然比以及卡方等在维吾尔语多词表达抽取方面的影响。根据维吾尔语的特点，将词干作为一项特征加到抽取方法中。语料的选择上考虑了覆盖面及领域，并探讨了它们对抽取方法的影响。

关键词: 多词表达, 互信息, 对数似然比, 卡方, 维吾尔语