Advancing arabic dialect detection with hybrid stacked transformer models

Advancing arabic dialect detection with hybrid stacked transformer models

The rapid expansion of dialectally unique Arabic material on social media and the internet highlights how important it is to categorize dialects accurately to maximize a variety of Natural Language Processing (NLP) applications. The improvement in classification performance highlights the wider vari...

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Bibliographic Details
Main Authors: Hager Saleh, Abdulaziz AlMohimeed, Rasha Hassan, Mandour M. Ibrahim, Saeed Hamood Alsamhi, Moatamad Refaat Hassan, Sherif Mostafa
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Human Neuroscience
Subjects:
Arabic dialects
Bert-Base-Arabertv02
Dialectal-Arabic-XLM-R-Base
transformer
Knowledge representation
NLP
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2025.1498297/full
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https://www.frontiersin.org/articles/10.3389/fnhum.2025.1498297/full

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