Artificial Intelligence in Arabic Linguistic Landscape: Opportunities, Challenges, and Future Directions

Abstract

The widespread use of artificial intelligence applications in current era has created unique opportunities and challenges for the broad linguistic field of Arabic language and the possibility of employing these applications in learning, generating, and proofreading Arabic language. The primary research question addresses the effectiveness and challenges of AI applications in Arabic language contexts. This study tests whether AI tools enhance Arabic language more than traditional methods, despite challenges. A comprehensive literature review of studies was conducted using a focused strategy on Google scholar, employing specific keywords such as “AI” and “Arabic language” and selecting studies related to AI’s role in Arabic language education, translation and processing. This research sheds light on the relationship between AI applications and Arabic language, including a review of the research published in this field to identify the reality of using these applications and the extent of their effectiveness in serving Arabic language. A synthesis of the collected data identified the key themes, including current applications of AI in Arabic language learning, the development if natural language processing tools and the challenges of resource availability. The review highlights the considerable potential of AI in enhancing Arabic language and emphasizing their applications in understating and processing the language. Given the rapid and continuous development of these technologies, this study highlights emerging Arabic achievements in bridging the gap between Arabic language and modern technology and explores the future prospects of AI in Arabic language development. Moreover, this study contributes to the ongoing research on the intersection of Arabic language and AI addressing future research directions and promoting more effective AI-based education al tools for Arabic language.