Context Free Grammar Identification from Positive Samples

Authors

  • K Senthil Kumar
  • D Malathi

DOI:

https://doi.org/10.14419/ijet.v7i3.12.17768

Published:

2018-07-20

Keywords:

CFG, Identification in the Limit, Chomsky Normal form, Parse tree, Grammatical Inference, Pumping Lemma

Abstract

In grammatical inference one aims to find underlying grammar or automaton which explains the target language in some way. Context free grammar which represents type 2 grammar in Chomsky hierarchy has many applications in Formal Language Theory, pattern recognition, Speech recognition, Machine learning , Compiler design and Genetic engineering etc. Identification of unknown Context Free grammar of the target language from positive examples is an extensive area in Grammatical Inference/ Grammar induction. In this paper we propose a novel method which finds the equivalent Chomsky Normal form.

 

 

References

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How to Cite

Senthil Kumar, K., & Malathi, D. (2018). Context Free Grammar Identification from Positive Samples. International Journal of Engineering & Technology, 7(3.12), 1096–1097. https://doi.org/10.14419/ijet.v7i3.12.17768
Received 2018-08-18
Accepted 2018-08-18
Published 2018-07-20