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Evaluating Large Language Models for Word Sense Disambiguation in Modern Standard Arabic: Sense Selection and Sense Ranking

Belbachir Said 1, *, @ , Nahli Ouafae 2, @ , Mohammed El Mohajir 1, @ , Chahhou Mohamed 1, @

1 : New Technology Trends for Innovation Laboratory, Faculty of Sciences, Abdelmalek Essaâdi University, Tetouan, Morocco

2 : Instituto di Linguistica Computazionale, Consiglio Nazionale delle Ricerche, Pisa

* : Corresponding author

Subject :	:	Abstract
Topics	:	Artificial Intelligence, Machine Learning and Deep Learning
Keywords	:	Word Sense Disambiguation (WSD) ; Modern Standard Arabic (MSA) ; Lexical resource construction ; Large Language Models (LLMs) ; Natural Language Processing (NLP) ; Low resource NLP
PDF version	:	PDF version

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