View in EDS

واقع اللغة العربية في ضوء تقنيات الذكاء الاصطناعي.

Saved in:
Bibliographic Details
Title: واقع اللغة العربية في ضوء تقنيات الذكاء الاصطناعي. (Arabic)
Alternate Title: The status of the 496aghda language in light of artificial intelligence technologies. (English)
Authors: فاطمة عبد الله ال
Source: REMAH Journal; 2025, Issue 124, p496-529, 34p
Subject Terms: NATURAL language processing, MACHINE translating, DATA privacy, ALGORITHMIC bias, ARTIFICIAL intelligence, ARABIC language
Abstract (English): This study aims to explore the status of the Arabic language in light of advancements in artificial intelligence (AI) technologies, by analyzing the structural and linguistic compatibility between Arabic and modern AI tools. It begins by defining AI and outlining its evolution, with a particular focus on the potential of Arabic to integrate with technologies such as natural language processing, machine translation, chatbots, and sentiment analysis. The study adopts a descriptive-analytical methodology, including a literature review of key concepts and a theoretical analysis of the language’s features—such as derivational structure, logical syntax, and morphological flexibility—in relation to AI foundations. The findings reveal that Arabic possesses inherent characteristics that facilitate effective integration with AI applications, which in turn enhance language learning and streamline linguistic processing. However, the study also identifies several challenges, including high implementation costs, data privacy concerns, algorithmic bias, and a potential decline in human interaction. The research concludes with recommendations to support Arabic-focused AI initiatives, train educational personnel, develop specialized digital tools, and establish clear policies for ethical and efficient AI use within the Arab context. [ABSTRACT FROM AUTHOR]
Abstract (Arabic): يهدف هذا البحث إلى استكشاف واقع اللغة العربية في ضوء تطورات تقنيات الذكاء الاصطناعي، من خلال تحليل التوافق البنيوي واللغوي بين خصائص العربية وهذه التقنيات الحديثة. يتناول البحث تعريف الذكاء الاصطناعي، نشأته وتطوره، مع التركيز على مدى قابلية اللغة العربية للتكامل مع أدوات المعالجة الآلية الترجمة الآلية، روبوتات المحادثة، وتحليل المشاعر. تم اتباع منهج وصفي تحليلي شمل مراجعة أدبية ونظرية للخصائص اللغوية، واستعراض تطبيقات واقعية ونماذج تقنية معاصرة. أظهرت النتائج أن اللغة العربية تتمتع ببنية اشتقاقية ومنطقية تتيح تكاملا فعالا مع تقنيات الذكاء الاصطناعي، وأسهمت هذه التقنيات في تعزيز تعلم اللغة وتبسيط معالجتها. في المقابل برزت تحديات تتعلق بالتكلفة الخصوصية التحوز الخوارزمي، وتراجع التفاعل الإنساني. أوصى البحث بضرورة دعم المؤسسات التعليمية والتقنية وتطوير أدوات متخصصة باللغة العربية، مع اعتماد سياسات تضمن الاستخدام الآمن والفعال للذكاء الاصطناعي في السياق العربي. [ABSTRACT FROM AUTHOR]
Copyright of REMAH Journal is the property of Research & Development of Human Recourses Center (REMAH) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
Description
Abstract:This study aims to explore the status of the Arabic language in light of advancements in artificial intelligence (AI) technologies, by analyzing the structural and linguistic compatibility between Arabic and modern AI tools. It begins by defining AI and outlining its evolution, with a particular focus on the potential of Arabic to integrate with technologies such as natural language processing, machine translation, chatbots, and sentiment analysis. The study adopts a descriptive-analytical methodology, including a literature review of key concepts and a theoretical analysis of the language’s features—such as derivational structure, logical syntax, and morphological flexibility—in relation to AI foundations. The findings reveal that Arabic possesses inherent characteristics that facilitate effective integration with AI applications, which in turn enhance language learning and streamline linguistic processing. However, the study also identifies several challenges, including high implementation costs, data privacy concerns, algorithmic bias, and a potential decline in human interaction. The research concludes with recommendations to support Arabic-focused AI initiatives, train educational personnel, develop specialized digital tools, and establish clear policies for ethical and efficient AI use within the Arab context. [ABSTRACT FROM AUTHOR]
ISSN:23925418
DOI:10.59799/SQZH5356