Artificial Intelligence and Arabic Translation: Overcoming Linguistic Complexities
الذكاء الاصطناعي والترجمة العربية: نحو التغلب على التعقيدات اللغوية
DOI:
https://doi.org/10.33705/1111-017-001-028Keywords:
اللغة العربية, الذكاء الاصطناعي, ترجمة اللغة, معالجة, اللغة الطبيعيةAbstract
This paper explores the intersection of artificial intelligence (AI) and language translation, focusing on the Arabic language's unique challenges. Despite significant advances in machine learning and natural language processing, translating Arabic remains notably complex due to its rich morphology, syntax, and contextual nuances. This study analyzes the role of AI-driven models, particularly large language models (LLMs), in overcoming these hurdles, categorizes the different approaches to AI translation, and discusses future directions in the field.
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Copyright (c) 2024 Fouad Bousetouane
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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