Abstract

This bibliometric analysis examines the progression of research on the Arabic language using a thorough dataset obtained from Scopus and shared on GitHub. This study uses quantitative measurements to analyze the field's progression, pinpointing significant trends, notable contributors, and thematic emphasis areas. The analysis shows a strong connection between linguistic studies and technology improvements through the incorporation of computer approaches like natural language processing and deep learning. Geographical contributions demonstrate a worldwide interest in Arabic language studies, with Saudi Arabia, Malaysia, Jordan, and Tunisia being the top countries in terms of scholarly output and citation effect. The study delves into a detailed examination of sociolinguistic aspects, specifically focusing on gender, in Arabic language research. The discipline is expanding dynamically and showing interdisciplinary characteristics through a consistent growth in research output and a diverse range of themes indicated by keyword analysis. The co-occurrence network analysis demonstrates the interconnection of research issues, with "Arabic languages" serving as a core node connecting several sub-disciplines. This bibliometric analysis illustrates the expansion and thematic development of Arabic language research, highlighting its growing complexity and worldwide influence. This study enhances comprehension of the present state and future trends of Arabic language studies by emphasizing the use of computational technology and the importance of international cooperation.

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