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2016 | OriginalPaper | Chapter

Analogy Removal Stemmer Algorithm for Tamil Text Corpora

Authors : M. Thangarasu, H. Hannah Inbarani

Published in: Digital Connectivity – Social Impact

Publisher: Springer Nature Singapore

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Abstract

Stemming is the process of generating root word from the given inflectional word. Tamil Language has technical challenges in stemming because it has rich morphological patterns than other languages, so Analogy Removal Stemmer (ARS) is proposed in this research, to find stem word for the given inflection Tamil word from text corpora. The performance of the proposed approach is compared with Light Stemmer (LS) and Improved Light Stemmer (ILS) algorithms based on correctly and incorrectly predicted stem words. The experimental result clearly shows that the proposed approach ARS for Tamil corpora performs better than the LS and ILS algorithm.

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Metadata
Title
Analogy Removal Stemmer Algorithm for Tamil Text Corpora
Authors
M. Thangarasu
H. Hannah Inbarani
Copyright Year
2016
Publisher
Springer Nature Singapore
Book
Digital Connectivity – Social Impact

Print ISBN: 978-981-10-3273-8

Electronic ISBN: 978-981-10-3274-5

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-981-10-3274-5_6

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