Mesopotamian Journal of Arabic Language Studies https://journals.mesopotamian.press/index.php/MJALS <p style="text-align: justify;">Welcome scholars and researchers in Arabic language studies! The Mesopotamian Journal of Arabic Language Studies has launched, inviting your valuable contributions. Join our scholarly community dedicated to advancing knowledge in Arabic linguistics, literature, and culture. Your impactful research and insights will shape the field's discourse. With rigorous peer-review, we ensure excellence. Submit your work and engage in dialogue with us at the Mesopotamian Journal of Arabic Language Studies</p> Mesopotamian Academic Press en-US Mesopotamian Journal of Arabic Language Studies 3005-8910 Assessing the Arabic Parsing Capabilities of ChatGPT and Cloude: An Expert-Based Comparative Study https://journals.mesopotamian.press/index.php/MJALS/article/view/328 <p>Arabic, known for its rich morphological and syntactic complexity, poses significant challenges for natural language processing technologies. This study presents a comparative evaluation of two artificial intelligence tools, ChatGPT and Cloude, in their abilities to parse Arabic sentences accurately. Five sentences embodying diverse linguistic features were selected, and the parsing outputs were evaluated by three Arabic language experts. The results revealed a clear performance gap, with Cloude outperforming ChatGPT in overall accuracy (72.9% vs. 33.3%). Cloude excelled in handling morphological complexities and basic syntactic relationships but encountered difficulties with highly idiomatic expressions and ambiguous constructions. Conversely, ChatGPT struggled with complex morphology and long-distance dependencies. The findings highlight the importance of developing specialized Arabic language processing tools while acknowledging the potential of general-purpose language models with further fine-tuning. Recommendations include incorporating domain-specific knowledge, leveraging transfer learning, and exploring ensemble approaches to enhance the accuracy and robustness of AI-based Arabic parsing systems.</p> Mohammad Aljanabi Copyright (c) 2024 Mohammad Aljanabi https://creativecommons.org/licenses/by/4.0 2024-02-25 2024-02-25 2024 16 23 10.58496/MJALS/2024/002 Mapping the Evolution of Arabic Language Research: A Bibliometric Approach https://journals.mesopotamian.press/index.php/MJALS/article/view/314 <p>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.</p> Abdulroya Benseng Sakirin Tam Copyright (c) 2024 Asst.Prof.Dr.Abdulroya Benseng,, Sakirin Tam https://creativecommons.org/licenses/by/4.0 2024-01-10 2024-01-10 2024 1 15 10.58496/MJALS/2024/001