Noun Identification for Tamil Language using Morphophonemic Rules
M. Mercy Evangeline1, K. Shyamala2
1M. Mercy Evangeline*, PG & Research Department of Computer Science, Dr. Ambedkar Govt. Arts College(Autonomous), Affiliated to University of Madras, Chennai, Tamil Nadu, India.
2Dr. K. Shyamala, Associate Professor, PG & Research Department of Computer Science, Dr.Ambedkar Govt. Arts College (Autonomous), Affiliated to University of Madras, Chennai, Tamil Nadu, India.
Manuscript received on November 17., 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 11867-11873 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9588118419/2019©BEIESP | DOI: 10.35940/ijrte.D9588.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In any language, words are considered as the basic or the smallest element with a distinctive meaning. Words can be categorized into several types, depending upon their use and functions. Basically how a word changes its form to express itself in grammatical notation defines its type. The process of categorizing a word to a particular type depending upon its grammatical notation is termed as Part of Speech tagging. In this paper, an attempt has been made to identify part of speech tagging for words in Tamil language, particular to noun inflections. An algorithm has been proposed for Noun Identification for Tamil Language using Morphophonemic Rules (NIMR). A Rule based suffix stripping approach has been adopted for this implementation. The approach proposed here identifies the root word by applying various morphophonemic rules particular to suffixes. It removes the various inflections based on the set of grammatical rules available for Tamil Language and tags the word identified as a Noun. It is proposed to explore the traditional way of categorizing words in Tamil language, avoiding the influence of English grammars.
Keywords: Tamil, Part of Speech tagging, Tamil Grammar, Text Mining, NLP, word identification, Noun, Morphophonemic rules.
Scope of the Article: Natural Language Processing.