用最优分割模糊匹配法对自然语言的识别与分析

Identification and analysis ofstandardized test by the optimized partition——fuzzy-match

汉语的语义十分丰富,表达方式灵活,同义词、近义词特别多,要对其语义比较准确的识别是很困难的,本文在模糊理论的基础上利用最优分割模糊匹配法对自然语言(汉语)的语义进行自动识别和分析,该方法在标准文本的计算机自动识别中得到比较好的应用。

The Chinese language is abundant in semantic meanings and its expressions are vivid.There are so many synonyms and homoionyms that it is very difficult to identify accurately.On the basis of fuzzy theory,standardized text can be autoncatically identified and analysed by the optimized partition--fuzzy-match.