درخت حوزه‌های تخصصی

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.

This study examines the use of speech acts in Qur’anic verses addressing the concept of iftirā’ (slander), emphasizing the contextual and thematic distinctions between the Meccan and Medinan periods. Employing a descriptive-analytical method and drawing on Searle’s classification of speech acts, the analysis identifies expressive acts as the most prevalent, followed by assertive, directive, commissive, and declarative acts. The study contextualizes these speech acts within the socio-religious frameworks of Mecca and Medina, demonstrating how the Qur’an’s rhetorical strategies evolved to meet the distinct needs and challenges of each period. The findings categorize the sources of iftirā’ into three primary groups, with the highest incidence attributed to disbelievers, followed by Jews, and then hypocrites. The themes of iftirā’ in the analyzed verses include slanders about divine unity, the Prophet Muhammad (PBUH), divine signs, the truth of prophethood, the Qur’an, the miracles of the prophets, the reality of resurrection, and human relationships. This research underscores the Qur’an’s dynamic communicative approach, illustrating how its discourse effectively engaged diverse audiences while addressing theological, and social dimensions of slander. The study offers valuable insights into Qur’anic rhetoric and its broader application in contemporary discourse analysis.