Assessing the Quality of Hidden Proverbs Translation in the Holy Qur’ān: Human vs. Artificial Intelligence English Translations

Linguistic issues are important in the textual analysis of translated texts. Among the most sensitive and significant texts translated into different languages, the Holy Qur’ān stands out. The text and texture of the Qur’ān are so unique that one cannot easily understand it without prior knowledge of its linguistic and extralinguistic aspects. One of the most challenging linguistic issues in the Qur’ān is proverbs, especially hidden proverbs that carry culture-specific meanings. The translator’s role in explicating the meanings of these culture-specific items is crucial. This research aims to identify and analyze Qur’ānic hidden proverbs using a technical reference (Esmaeeli, 1986) and to assess translation quality with Na Pham’s (2005) translation quality assessment model. In this study, two translation forms, AI and human (Qarai), were compared for their treatment of Qur’ānic hidden proverbs. Data collection and analysis followed a descriptive-qualitative design. Twenty-one verses containing hidden proverbs and their translations by GPT 3.5 and Qarai were analyzed. The study results indicated that, in terms of translation quality, GPT 3.5 performed better than Qarai.

Assessing the Quality of Hidden Proverbs Translation in the Holy Qur’ān: Human vs. Artificial Intelligence English Translations Keywords:

Hidden Proverbs , GPT 3.5 translation , human translation , Translation Quality Assessment , Translation Strategies , The Qur’ān