Stochastic Syntactic Decoding for Pattern Classification

Abstract
A model of noise deformation of the substitution type is adopted for linguistic patterns generated by formal grammars. The maximum-likelihood criterion and the minimum-distance criterion are proposed for the classification of noisy strings described by context-free grammars. Classification algorithms based on a modified Cocke-Younger-Kasami parsing scheme are presented.

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