NDLI: Stochastic mutation approach for grammar induction using Genetic Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Choubey, N.S. Kharat, M.U.
Copyright Year	2010
Description	Author affiliation: Department of Computer Engineering, Institute of Engineering, Bhujbal Knowledge City, Nasik, India (Kharat, M.U.) \|\| Department of Computer Engineering, M.P.S.T.M.E., N.M.I.M.S. Deemed-to-be-University, Shirpur Campus, Shirpur, Dhule, India (Choubey, N.S.)
Abstract	Grammar Induction (or Grammar Inference or Language Learning) is the process of learning of a grammar from training data of the positive and negative strings of the language. Genetic algorithms are amongst the techniques which provide successful result for the grammar induction. This paper presents a stochastic Mutation Operator based on an Adapted Genetic Algorithm which works with random mask, with uniform distribution of bits over the chromosome length. The model has been implemented, and the results obtained for the set of four context free languages are presented. The paper also compares the suggested operator with other three mutation operator. The suggested operator has shown fast convergence for the induction of grammar as compared to the other operators used.
Starting Page	142
Ending Page	146
File Size	878043
Page Count	5
File Format	PDF
ISBN	9781424474042
e-ISBN	9781424474066
DOI	10.1109/ICECTECH.2010.5479969
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-07
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering Learning automata Induction generators Context Free Grammar Genetic mutations Stochastic processes Formal languages Genetic Algorithm Learning Systems Data engineering Genetic algorithms Grammar Induction Automata Cities and towns Genetic engineering
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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