Leveraging Unlabeled Corpus for Arabic Dialect Identification

Mohammed Abdelmajeed, Jiangbin Zheng, Murtadha Ahmed, Youcef Nafa, Mohammed Abaker, Muhammad Pervez Akhter · Computers, materials & continua/Computers, materials & continua (Print) · 2025

Arabic Dialect Identification (DID) is a task in Natural Language Processing (NLP) that involves determining the dialect of a given piece of text in Arabic. The state-of-the-art solutions for DID are built on various deep neu... | Find, read and cite all the research you need on Tech Science Press

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