规则和统计相结合的汉语词类标注方法

Chinese Corpus Tagging Using Rule Techniques and Statistics Techniques

本文分析了汉语的多类词现象与汉语词类标注的困难，介绍了汉语词类标注中的规则排歧和统计排歧的处理策略以及规则和统计相结合的处理思路。按此思路设计的软件系统，对封闭语料和开放语料的标注正确率分别达到了９６．０６％和９５．８２％。

Abstract In this paper,we analyze category ambiguities of Chinese words,and introduce the schemes of rulebased disambiguation and statistics-based disambiguation in Chinese corpus tagging.We also propose a method blending rule-based processing with statistics-based processing.Using this method to tag Chinese corpus,we get the tagging accuracy of 96.06%(close testing) and 95.82% (open testing).