A Lightweight Stemmer for Gujarati

2012/10/19 by Juhi Ameta, Ameta, Juhi, Nisheeth Joshi +3
Computer Science · #Algorithms and Data Compression #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling #cs.CL

paper · pdf · doi:10.48550/arxiv.1210.5486

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

openalex publication_date 2012/10/19 · arxiv created 2012/11/11 · arxiv updated 2012/11/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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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