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All Journal Jurnal Al Bayan: Jurnal Jurusan Pendidikan Bahasa Arab TARBIYA : Journal Education in Muslim Society ARABIYAT Arabiyatuna : Jurnal Bahasa Arab Al Mi’yar: Jurnal Ilmiah Pembelajaran Bahasa Arab dan Kebahasaaraban FIKRAH Al-Ittijah : Jurnal Keilmuan dan Kependidikan Bahasa Arab Aphorisme: Journal of Arabic Language, Literature, and Education Kordinat : Jurnal Komunikasi antar Perguruan Tinggi Agama Islam Jurnal Kajian Agama Hukum dan Pendidikan Islam (KAHPI) Edusia: Jurnal Ilmiah Pendidikan Asia Al-Lahjah : Jurnal Pendidikan, Bahasa Arab dan Kajian Linguistik Arab TADRIS AL-ARABIYAT: Jurnal Kajian Ilmu Pendidikan Bahasa Arab Jurnal Sosial dan Sains Al-Muyassar: Journal of Arabic Education Journal Of Arabic Language Studies And Teaching Jurnal Al-Mashadir: Journal of Arabic Education and Literature Kalimatuna: Journal Of Arabic Research INTIFA: Journal of Education and Language Fikrah : Jurnal Pendidikan Agama Islam
Toto Edidarmo
(h-index: 3 In Google Scholar); Syarif Hidayatullah State Islamic University Of Jakarta
Religion Humanities Astronomy Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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Journal : Journal Of Arabic Language Studies And Teaching

 1 
A Comparison of the Accuracy of Generative Artificial Intelligence Models in Taṣrīf and the Explanation of Wazan Meanings: A Study on Their Application in Arabic Morphology (Ṣarf) Karima, Salman Rizqan; Edidarmo, Toto; Raswan, Raswan
Journal of Arabic Language Studies and Teaching Vol. 5 No. 2 (2025): November 2025 / نوفمبر ٢٠٢٥
Publisher : Universitas Islam Negeri Sunan Ampel Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/jalsat.2025.5.2.234-250

Abstract

This study analyzes and compares the accuracy of two generative artificial intelligence models, ChatGPT and Deepseek, in producing taṣrīf (morphological conjugation) and explaining the meanings of wazan (morphological patterns) in Arabic morphology. Employing a descriptive-qualitative method with a content analysis approach, the research uses 30 fiʿl thulāthī mazīd (triliteral verbs with augmentation) representing all categories ṣaḥīḥ, maḥmūz, muḍāʿaf, muʿtal, miṯāl, ajwaf, nāqiṣ, and lafīf. Each verb was tested on ChatGPT 4.0 and Deepseek V3.1, and the outputs were verified against classical references, including al-Bināʾ, al-Maqṣūd, and al-Amthilah al-Taṣrīfiyyah. The findings show that both models produce fairly accurate results with distinctive tendencies: Deepseek aligns more closely with classical morphological rules, while ChatGPT provides more diverse and contextual explanations. Pedagogically, both have strong potential to support Arabic morphology learning through interactive and varied outputs, though teacher supervision remains essential to maintain adherence to classical standards.
Co-Authors Ahmad Dardiri Al Hasan, Mutiah Angela Balkist, Vhebe Anwar, Hanifah Aziza, Siti Nur Dzikratunnisa Pangestu, Naila Efendi, Dzafir Fadhilah, Diki Choirul Fauzi, Muhamad Rizal Fitra Nur, Rafi Fudhaili, Achmad Herdiani, Salvia Huriyah Nabilah Hussain A, Sulton Ikhlashiyah, Zahidah Intan Hafizatuz Zahrah Karima, Salman Rizqan Kasmilah, Nurjannah Khairi, Andhika M. Ahsanul Khuluq F. Ma'muroh, Ma'muroh Mahfuzo, Muhammad Rizal Mauludi Rizki, Muhamad Ma’muroh, Ma’muroh Mutmainnah Mutmainnah N. Lalah Alawiyah Nayla Audriva Cahyo novita ratnawati, Yuli Nurrahma, Laila Nururahmah, Nola Raswan Raswan, Raswan rifa'i, Muhammad Rizki, Muhamad Mauludi Rizky Amalia Putri Rusydah, Afiyah Nur Saharani, Devira Sakinah, Nayla Sari Lubis, Rizka Novita Siti Maisaroh Sopian Hadi yazid hady, yazid Zainal Muttaqin Zainal Muttaqin Zainal Muttaqin Zulfan Tsauri, Muhammad Azriel