摘要
本文使用句法评分和语义评分对句法分析和语义分析阶段进行消歧。句法评分和语义评分可以和传统的句法语义分析阶段结合起来 ,更有效地对自然语言进行分析。这是规则方法和统计方法相结合的一种行之有效的方法。对于句法语义评分 ,使用最大可能原理和K best方法进行实验 ,实验结果表明 :对于训练集和测试集 ,两种方法在考虑一个左上文或一个左右上下文时都比不考虑上下文的正确率高。所有训练集的正确率比测试集的正确率高。对于训练集 ,当语料规模越来越大时 ,正确率也逐渐在增加。
Syntactic score and semantic score are used for disambiguiting during syntactic analysis and semantic analysis phases.Syntactic and semantic score can be combined with traditional syntactic and semantic analysis,thus natural languages can be analyzed effectively.This is a kind of effective method that rule based method is combined with statistical method.Experiments are made for syntactic and semantic score using maximum likelihood principle and k best method,experimental results show that for training sets and testing set the accurate rate taking into account a left context or a left and right context is higher thanthe accurate rate taking into account no context using two kinds of method,the accurate rate of all training set is higher than testing set,and the accurate rate gradually increases when the size of corpus increases for training sets.
出处
《中文信息学报》
CSCD
北大核心
2000年第4期17-24,共8页
Journal of Chinese Information Processing
基金
国家 8 6 3项目机器翻译系统开发平台!(86 3- 30 6 - 0 3- 0 6 - 2 )