Effective Stemmers Using Trie Data Structure for Enhanced Processing of Gujarati Text

Abstract Stemming plays a crucial role in natural language processing and information retrieval. It is challenging for the Gujarati language due to the complex morphology of several stemming algorithms for the Gujarati language that have been developed using rule-based, dictionary-based, or hybrid a...

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Bibliographic Details
Main Authors: Nakul R. Dave, Mayuri A. Mehta, Ketan Kotecha
Format: Article
Language:English
Published: Springer 2024-12-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://doi.org/10.1007/s44196-024-00679-2
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