Comparing Human and ChatGPT 3.5 Translation Strategies for Hidden Proverbs in the Qur’ān

Document Type : Original Research

Authors

1 Department of English Language, Imam Reza International University, Mashhad, Iran

2 Department of English Language, Baqir Al-Olum University, Qom, Iran

Abstract

The Qur’ān is not only rich in linguistic construction but also deeply embedded with cultural and religious meanings, making its translation a challenging task. Among the many intricate linguistic features of the Qur’ān, proverbs, especially hidden proverbs, present one of the most significant challenges for translators. These proverbs carry culture-specific meanings that are often difficult to render accurately in other languages and are hidden due to their indirect nature, which can be challenging for readers to understand (Esmaeili, 1986). This study aims to identify and analyze hidden proverbs in the Qur’ān through translations generated by artificial intelligence (GPT-3.5) and by a human translator, Qarai’s English translation. The research adopts a descriptive-qualitative method, analyzing twenty-one Qur’ānic verses containing hidden proverbs. These 21 hidden proverbs were extracted from a technical source on Qur’ānic proverbs (Esmaeili, 1986). The study evaluated the translation strategies used by both GPT-3.5 and Qarai, examining how effectively each approach conveys the figurative and cultural meanings of the proverbs. Through comparative analysis, this research investigated the strengths and limitations of AI-generated translations versus human translations in handling cultural-specific linguistic elements. The findings reveal that GPT-3.5 demonstrated strong performance in applying Beekman and Callow’s (1974) translation strategies, particularly in cases where the source language proverbs were untranslatable and required a non-figurative explanation. Compared to the human translator, GPT-3.5 provided more consistent and contextually appropriate solutions to the challenge of translating hidden proverbs. These results highlight the growing potential of AI-assisted translation tools in addressing complex linguistic and cultural challenges, suggesting promising advancements in the field of Qur’ānic translation.

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©2024 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.

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International Journal of Textual and Translation Analysis in Islamic Studies
Volume 2, Issue 1 - Serial Number 5
January 2024
Pages 104-118

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History

  • Receive Date: 28 October 2023
  • Revise Date: 30 November 2023
  • Accept Date: 25 December 2023
  • Publish Date: 01 January 2024

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