Genetic Algorithm for Grammar Induction and Rules Verification through a PDA Simulator

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Genetic Algorithm for Grammar Induction and Rules Verification through a PDA Simulator

Received Jun 6, 2017 Revised Aug 8, 2017 Accepted Aug 22, 2017 The focus of this paper is towards developing a grammatical inference system uses a genetic algorithm (GA), has a powerful global exploration capability that can exploit the optimum offspring. The implemented system runs in two phases: first, generation of grammar rules and verification and then applies the GA‟s operation to optimiz...

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The knowledge engineering effort associated with defining grammar systems can become a barrier for the practical use of such systems. Existing grammar and rule induction algorithms offer rather limited support for discovering context-sensitive graph grammar rules as required by some applications in the domain of engineering design. For this task the present work proposes a rule induction method...

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Grammar Induction and Genetic Algorithms: An Overview

Grammar Induction (also know as Grammar Inference or Language Learning) is the process of learning of a grammar from training data. This paper discusses the various approaches for learning context-free grammar (CFG) from the corpus of string and presents the approach of informant learning in the form of result for two standard grammar problems namely Balanced Parenthesis Grammar and Palindrome ...

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[Category: Genetic Programming] Genetic Programming for Grammar Induction

There has been a big interest in inducing classes of grammars in the area of machine learning. Various attempts have been carried out for automatically inferring diierent grammar classes. The symbolic nature of the grammar induction problem makes it suitable for the GP-approach. However the straightforward application of the GP method on Context Free Grammar Induction problem fails to generate ...

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ژورنال

عنوان ژورنال: IAES International Journal of Artificial Intelligence (IJ-AI)

سال: 2017

ISSN: 2252-8938,2089-4872

DOI: 10.11591/ijai.v6.i3.pp100-111