Abstract
Stemming algorithm is a procedure that attempts to map all the derived forms of a word to a single root, the stem. It is widely used in Information Retrieval applications with the main objective of enhancing the recall factor. Stemmer is also used in various other applications such as summarization, classification and text mining etc. Apart from English, exploration on developing stemmers for both the native and the regional languages are also being carried out. In this paper, we present a stemmer for Tamil, a Dravidian language. Our stemmer effectiveness is 84.79%.
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© 2012 Springer-Verlag Berlin Heidelberg
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Ramachandran, V.A., Krishnamurthi, I. (2012). An Iterative Suffix Stripping Tamil Stemmer. In: Satapathy, S.C., Avadhani, P.S., Abraham, A. (eds) Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012 (INDIA 2012) held in Visakhapatnam, India, January 2012. Advances in Intelligent and Soft Computing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27443-5_67
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DOI: https://doi.org/10.1007/978-3-642-27443-5_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27442-8
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