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Objectives: This study aims to investigate the significance of artificial intelligence (AI) in enhancing the capabilities and efficiency of Arabic translators. It explores how AI technologies can aid in overcoming challenges specific to Arabic language translation, such as dialectal variations and complex linguistic structures. Methods: A comprehensive review of existing literature on AI applications in language translation, particularly focusing on Arabic, was conducted. The study also includes an analysis of current AI-driven translation tools and their effectiveness in handling nuances and cultural contexts inherent in Arabic text. Conclusions: AI presents a transformative opportunity for Arabic translators by offering advanced tools for automatic translation, text processing, and linguistic analysis. While challenges remain, such as maintaining linguistic accuracy and cultural sensitivity, AI technologies continue to evolve, providing increasingly reliable support to translators. This research underscores the growing importance of integrating AI into the practice of Arabic translation, emphasizing its role in improving translation quality, efficiency, and accessibility.
Rashad Seyidov (Sat,) studied this question.