International Journal of Computer Science & Engineering Technology

ISSN : 2229-3345

Open Access
Open Access

ABSTRACT

Title : Stemmers for Tamil Language: Performance Analysis
Authors : M.Thangarasu, Dr.R.Manavalan
Keywords : Tamil morphology, Tamil stemmer, Light stemmer, Rule-based stemmer, NLP, Natural Language Processing.
Issue Date : July 2013
Abstract :
Stemming is the process of extracting root word from the given inflection word and also plays significant role in numerous application of Natural Language Processing (NLP). Tamil Language raises several challenges to NLP, since it has rich morphological patterns than other languages. The rule based approach light-stemmer is proposed in this paper, to find stem word for given inflection Tamil word. The performance of proposed approach is compared to a rule based suffix removal stemmer based on correctly and incorrectly predicted. The experimental result clearly show that the proposed approach light stemmer for Tamil language perform better than suffix removal stemmer and also more effective in Information Retrieval System (IRS).
Page(s) : 902-908
ISSN : 2229-3345
Source : Vol. 4, Issue.7

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