An efficient algorithm for the inference of circuit-free automata

作者: H. Rulot , E. Vidal

DOI: 10.1007/978-3-642-83462-2_11

关键词: ParsingConcatenationComputer scienceGrammar inductionAttribute grammarRegular grammarAdaptive neuro fuzzy inference systemInferenceAutomata theoryTheoretical computer science

摘要: In this paper, a recently introduced grammatical inference method is reviewed. method, non left(right)-recursive regular grammar built in an incremental way: as each training sample presented, it parsed by the current (error-correcting extended) grammar, minimizing explicitly, dynamic programming, number of error-rules needed. These are then added to grammar. This procedure has proved be well suited for capturing relevant information associated with lengths substructures patterns analized, and their concatenation. A stochastic extension some alternative approaches estimating probabilities both error non-error rules discussed. Finally, results experiments speech samples, which show capabilities proposed summarized.

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