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A Lightweight Stemmer for Gujarati

Ameta, Juhi and Joshi, Nisheeth and Mathur, Iti (2011) A Lightweight Stemmer for Gujarati. [Conference Paper]

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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.

Item Type:Conference Paper
Subjects:Computer Science > Artificial Intelligence
ID Code:9059
Deposited By: Joshi, Nisheeth
Deposited On:18 Nov 2013 21:01
Last Modified:18 Nov 2013 21:01

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