"The Role of Computational Linguistics in Developing Artificial Intelligence: An Approach Based on Arabic Language Data

Abstract

This study investigates the pivotal role of computational linguistics in developing artificial intelligence technologies, with a specific focus on the Arabic language, which faces unique challenges due to its complex morphological and grammatical nature. Employing an analytical-descriptive methodology, the research highlights the theoretical framework of both fields and analyzes the obstacles to the computational processing of Arabic, most notably: derivational and morphological characteristics, homonymy, and the severe shortage of annotated linguistic corpora. The study also reviews practical approaches to addressing these challenges, such as building computational morphological analyzers and annotated corpora, which are fundamental for training deep learning models. It concludes by presenting applied models, including machine translation, chatbots, and large language models, emphasizing that the integration of prior linguistic knowledge remains a critical factor in enhancing AI's ability to understand and generate Arabic accurately and fluently. The study ends with a set of recommendations, the most important of which is the necessity of investing in building linguistic resources and developing native