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This analysis highlights challenges in advancing Arabic language tools through AI, suggesting implications for transformative communication.
Artificial intelligence (AI) represents one of the most transformative technologies of the digital age, having evolved beyond industrial applications to become a pivotal force in language and human communication. This study aims to explore the role of AI in supporting the Arabic language by analyzing its practical applications, identifying the challenges hindering the development of Arabic-language tools, and anticipating future prospects. The research is grounded in the hypothesis that, despite the morphological richness, semantic depth, and cultural significance of Arabic, the language continues to face technical integration barriers due to its complex derivational system, dialectal diversity, and the scarcity of machine-learning-ready digital datasets.
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