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AI-Powered Literary Translation: A Case Study of Persian Translations of Charles | ||
| Translation and Interpreting Research | ||
| دوره 2، شماره 8، اسفند 2025، صفحه 43-53 اصل مقاله (895.03 K) | ||
| نوع مقاله: Translation Studies | ||
| شناسه دیجیتال (DOI): 10.22054/tir.2026.21084 | ||
| نویسندگان | ||
| Sabihe Ostadi1؛ Hossein Heidari Tabrizi* 2 | ||
| 1MA in Translation Studies, Department of English, Isf. C., Islamic Azad University, Isfahan, Iran | ||
| 2Professor of Applied Linguistics, Department of English, Isf. C., Islamic Azad University, Isfahan, Iran | ||
| چکیده | ||
| The rapid development of artificial intelligence in recent years has transformed the field of translation studies. Contemporary AI-based translation tools offer unprecedented speed and accuracy in reproducing linguistic, cultural, and stylistic features, a level of performance not witnessed a decade ago. As these technologies have grown more advanced, their application in literary translation has increased, raising new questions about their effectiveness in conveying meaning, authorial artistic intentions, and culturally connoted forms of expression. This paper examines the use of AI-assisted translation strategies in literary translation, focusing on Persian translations of Shirley Jackson’s short story Charles produced by QuillBot Translate, OpenL Translate, and Google AI Studio. Employing Vinay and Darbelnet’s framework of direct and oblique translation procedures, the study analyzes how these tools handle problematic linguistic and cultural features. The analysis considers culture-specific items, idioms, passive constructions, and manner adverbs, all of which the AI tools tended to render literally, even when a more sophisticated approach was required to convey stylistic or emotional nuance. Overall, the results indicate that while AI systems prioritize semantic fidelity, they remain limited in their capacity to recreate the higher levels of meaning and literary artistry embedded in the source text. | ||
| کلیدواژهها | ||
| Artificial intelligence؛ AI-powered translation؛ Charles؛ translation strategy | ||
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آمار تعداد مشاهده مقاله: 120 تعداد دریافت فایل اصل مقاله: 40 |
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