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This study examines the impact of computational linguistics on non-native speakers' acquisition of Arabic language skills. The research focuses on using computer-assisted language learning (CALL) tools and their effectiveness in enhancing students' grammar, vocabulary, and pronunciation proficiency. An experimental design was employed, with participants divided into two groups: one utilizing CALL tools and the other following traditional teaching methods. The findings reveal that students using CALL tools showed significantly improved language skills, higher engagement, and increased motivation than those taught using conventional methods. Statistical analysis confirmed the effectiveness of CALL tools, demonstrating a significant difference in learning outcomes between the groups. The study also identifies technical issues and cultural sensitivity challenges and recommends integrating artificial intelligence for personalization and including cultural contexts in future developments.
K. M. A. Ahamed Zubair (Sun,) studied this question.