基于选择倾向性的词汇获取方法

通过分析几种统计评价方法发现，互信息法可用于衡量二元独立性，淘汰机会二元组；χ2检验能更合理地评价词汇组合的选择倾向性，获取频繁二元组发现；对数似然比检验可以有效获取稀疏二元组，弥补其他方法无法克服的稀疏数据问题。将互信息、χ2检验、对数似然比检验组合，并加入词汇子范畴框架的启发式规则，提出一个层次分明的综合多种统计评价方法的词汇获取方法。

Lexical Acquisition Method Based on Selection Preference

This paper analyzes some statistical evaluation methods, and finds that mutual information is able to measure the independency of two meta in order to discard irrelevant ones; χ2-test is more reasonable to evaluate lexical selection preference; log likelihood ratio can obtain spare lexical combination and solve spare data problem, which is a bottleneck to other methods. An approach of Lexical Acquisition is presented, which effectively integrates mutual information, χ2-test and log likelihood ratio with heuristic rules of subcategorization frame.