Muhammad Burhanul Umam
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Integrating Artificial Intelligence (AI) in Diacritic Restoration and Arabic Text Translation: an Implementation of Chatgpt and Copilot in Digital Language Learning Kurniasih, Novita; Rio Kurniawan; Muhammad Burhanul Umam
ATHLA : Journal of Arabic Teaching, Linguistic and Literature Vol. 6 No. 1 (2025)
Publisher : UIN Raden Mas Said Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/athla.v6i1.11112

Abstract

This article departs from we are entering the industrial era 5.0. This makes the use of artificial intelligence (AI) in student learning, especially Arabic, increasingly relevant in the context of modern education. The presence of Artificial Intelligence / AI) as a learning solution for the digital era 5.0 increases learning and innovation in education to be more effective and efficient. This article explains the potential of Artificial Intelligence / AI) in the recognition and translation of texts from Indonesian to Arabic. The research method in this article is descriptive qualitative with literature, which includes analysis of various sources and views related to the utilization of Artificial Intelligence / AI) in the pronunciation and translation of Arabic texts. The results of the research show that in the development of the digital era, it is very possible to utilize Artificial Intelligence / AI) for the pronunciation and translation of Arabic texts. The implementation of its utilization by using ChatGPT and Copilot technology allows students or teachers to certify and translate Arabic text. This shows that the use of artificial intelligence (AI) is very effective so as to increase efficiency in learning activities.