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Examining the Theorization Potential of Chat GPT-4 in Cultural Turn Theories of Translation Studies: A Focus on Qur’ānic Cultural Elements | ||
| International Journal of Textual and Translation Analysis in Islamic Studies | ||
| مقاله 3، دوره 2، شماره 1 - شماره پیاپی 5، فروردین 2024، صفحه 42-68 اصل مقاله (490.53 K) | ||
| نوع مقاله: Original Research | ||
| شناسه دیجیتال (DOI): 10.22081/ttais.2024.69961.1034 | ||
| نویسندگان | ||
| Ebrahim Davoudi Sharifabad* 1؛ Mahsamaneh Abolhasani2؛ Mohammad Yazdani2 | ||
| 1Department of English Language, Baqir Al-Olum University, Qom, Iran | ||
| 2Department of English Language, Imam Reza International University, Mashhad, Iran | ||
| تاریخ دریافت: 09 مهر 1402، تاریخ بازنگری: 12 آبان 1402، تاریخ پذیرش: 04 دی 1402 | ||
| چکیده | ||
| The extensive training data of ChatGPT has facilitated theorizing in the field of Translation Studies, particularly during the cultural turn. Following this theorizing, a standardization framework was proposed. This study employed a qualitative and interdisciplinary approach, utilizing a descriptive method to interpret the data. The validated questions were based on the works of theorists associated with the cultural turn. Two scholars participated in structured and semi-structured interviews, employing a three-point Likert scale to capture their opinions on the proposed theory. Data analysis focused on the accuracy of ChatGPT-4’s responses in relation to the scholars’ opinions and references. The findings associated with the Likert scale were linked to task-oriented benchmarks, including factual/contextual understanding, coherence, and resolution of ambiguity. The results indicated a 29.3% weakness in ChatGPT-4’s data analysis. The resolution of ambiguity resulted in a total of neutral responses at 44.8%. Scholars unanimously endorsed the cultural interaction theory, demonstrating a 100% capacity for theorizing by ChatGPT-4. In terms of coherence and summarization, the data suggested a stronger correlation with prompt engineering. The potential for theorizing concerning existing theory was found to be 77.7%, while the standard of theorizing by ChatGPT-4 was assessed at 68.9%. Surah Al-Fatiha was selected to exemplify cultural translation according to CIT, illustrating the theory’s effectiveness in translating cultural-ideological texts. A comparison of ChatGPT-4’s translations with those of six Quranic translators underscored its synthesizing abilities, with the incorporation of cultural interaction theory into prompts significantly enhancing its translation skills. | ||
| کلیدواژه‌ها | ||
| Chat GPT4؛ Cultural Turn؛ Standardization؛ Theorizing؛ The Holy Qur’ān | ||
| مراجع | ||
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