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A Lightweight Stemmer for Gujarati

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Author(s): Juhi Ameta , Nisheeth Joshi , Iti Mathur

Publication date Created: 19 October 2012

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Abstract

Gujarati is a resource poor language with almost no language processing tools being available. In this paper we have shown an implementation of a rule based stemmer of Gujarati. We have shown the creation of rules for stemming and the richness in morphology that Gujarati possesses. We have also evaluated our results by verifying it with a human expert.

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Most cited references 6

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Unsupervised Learning of the Morphology of a Natural Language

John Goldsmith (2001)

0 comments Cited 30 times – based on 0 reviews      Review now

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Word segmentation by letter successor varieties

Margaret Hafer, Stephen F. Weiss (1974)

0 comments Cited 15 times – based on 0 reviews      Review now

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Hindi CLIR in thirty days

Leah Larkey, Margaret E. Connell, Nasreen Abduljaleel (2003)

0 comments Cited 2 times – based on 0 reviews      Review now

Author and article information

Journal

Publication date Created: 19 October 2012

Publication date Updated: 2012-11-11

Article

ArXiV ID: 1210.5486

SO-VID: 067cac59-dcbe-4171-a121-c4c38c066199

License:

http://arxiv.org/licenses/nonexclusive-distrib/1.0/

History

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Comments In Proceedings of 46th Annual Convention of Computer Society of India

Categories cs.CL

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