基于评价的英语句法结构消歧和自我评价的规则校正

句法结构歧义是句法分析过程中最主要也是最难解决的问题之一．使用了一种组合型的概率评价函数解决英语句法分析过程中所面临的结构歧义问题，综合考虑了句法分析时的结构特性和上下文信息．并使用基于规则的句法分析后校正机制对错误的分析结果进行进一步的校正．组合型的概率评价函数为更精细的句法分析提供了一个可以扩充的统计模型，这种方法也可以适用于其它语言的句法分析．实验结果表明，这种方法具有较高的精确率和召回率。

A STRUCTURE AMBIGUITY RESOLUTION BASED ON COMBINED PROBABILITY EVALUATION FUNCTION AND THE POST PARSING CORRECTION BASED ON RULE

The ambiguity in syntactic structure is a hard stone in natural language parsing. This paper deals with the structure ambiguity problem by using a combined probability evaluation function, which employs the sentence structure features and context information during English parsing. Post parsing correction is implemented on the basis of rule based extensible frame, which possesses the feature of a self evaluation mechanism. These two evaluation methods have been provided. The combined probability evaluation function has provided an extensible statistic model for better parsing of English sentences, which is also applicable to other languages. The experiment shows a promising result of precision and recall.