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IJIET 2012 Vol.2(2): 156-158 ISSN: 2010-3689
DOI: 10.7763/IJIET.2012.V2.99

Rule Based Classification of Tamil Poems

K. V. Madhavan, S. Nagarajan, and Rajeswari Sridhar

Abstract—Natural language processing is a technique where any language can be analyzed for its pure class of grammar. In this paper, we have presented the classification of Tamil poetry to the ‘paa’ to which it belongs to by using a rule based technique. The rules are constructed using Context Free Grammar by referring to the literature of Tamil. The input is parsed, converted to an intermediate representation and then the classification is performed. A classification accuracy of more than 90% was achieved.

Index Terms—Venpa, tamil poem, context free grammar.

K. V. Madhavan and S. Nagarajan is with the College of Engineering, Anna University Chennai (e-mail: madhavan.varadan@gmail.com, naga4042@gmail.com).
Mrs. Rajeswari Sridhar is with the Department of Computer Science and Engineering at Anna University, Chennai, India (e-mail: rajeswari@cs.annauniv.edu).

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Cite: K. V. Madhavan, S. Nagarajan, and Rajeswari Sridhar, "Rule Based Classification of Tamil Poems," International Journal of Information and Education Technology vol. 2, no. 2, pp. 156-158, 2012.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net

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