Muqāranah Tarjamah al-Naṣṣ al-'Arabiy fī Shi'r al-Mu'allaqāt bayna al-Dhakā' al-Iṣṭinā'iy wa al-Tarjamah al-Aṣīlah

Authors

DOI:

https://doi.org/10.30983/huruf.v6i1.11186

Keywords:

ChatGPT, Comparative, Mu’allaqat

Abstract

This study explores the role of Artificial Intelligence (AI), specifically ChatGPT, in translating classical Arabic literary texts, focusing on Mu’allaqat by Imru’ al-Qais. Using a qualitative descriptive method with a comparative approach, the research compares AI-generated translations with expert-validated manual interpretations. Ten poetic verses were evaluated using a rubric assessing accuracy, clarity, naturalness, and consistency. The findings reveal that ChatGPT generally produces translations categorized as good, especially in clarity and language flow. However, some weaknesses were found in preserving exact meanings and consistent use of terms, particularly in verses with deep emotional and cultural layers. State the implications of the research findings for the development of translation theory. Explain how the findings can strengthen, support, or provide a new perspective on the theory employed. If possible, also describe the contribution of these findings to future research.

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Published

2026-06-10

How to Cite

Dwi Arumsari, R., Hilma Fadhila, V., & Salindri, N. (2026). Muqāranah Tarjamah al-Naṣṣ al-’Arabiy fī Shi’r al-Mu’allaqāt bayna al-Dhakā’ al-Iṣṭinā’iy wa al-Tarjamah al-Aṣīlah. HuRuf Journal : International Journal of Arabic Applied Linguistic, 6(1), 19–38. https://doi.org/10.30983/huruf.v6i1.11186

Issue

Vol. 6 No. 1 (2026): June 2026

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Articles

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Copyright (c) 2026 Renny Dwi Arumsari, Vira Hilma Fadhila, Niken Salindri

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