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Fuzzy context-free languages - Part 2: Recognition and parsing algorithms

机译:模糊上下文无关语言-第2部分:识别和解析算法

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In a companion paper [P. R. J. Asveld, Fuzzy context-free languages-Part 1: Generalized fuzzy context-free grammars, Theoret. Comput. Sci. (2005)] we used fuzzy context-free grammars in order to model grammatical errors resulting in erroneous inputs for robust recognizing and parsing algorithms for fuzzy context-free languages. In particular, this approach enables us to distinguish between small errors ("tiny mistakes") and big errors ("capital blunders"). In this paper, we present some algorithms to recognize fuzzy context-free languages: particularly, a modification of Cocke-Younger-Kasami's algorithm and some recursive descent algorithms. Then we extend these recognition algorithms to corresponding parsing algorithms for fuzzy context-free languages. These parsing algorithms happen to be robust in some very elementary sens
机译:在同伴论文中[P. R. J. Asveld,模糊上下文无关语言-第1部分:广义模糊上下文无关文法,Theoret。计算科学(2005)]我们使用模糊上下文无关文法来对语法错误进行建模,从而导致错误输入,从而导致模糊上下文无关语言的鲁棒识别和解析算法。特别是,这种方法使我们能够区分小错误(“小错误”)和大错误(“资本失误”)。在本文中,我们提出了一些识别模糊上下文无关语言的算法:特别是对Cocke-Younger-Kasami算法的改进和一些递归下降算法。然后,将这些识别算法扩展到模糊上下文无关语言的相应解析算法。这些解析算法恰好在某些非常基本的感觉上很健壮

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