Translation Procedures Used in the Rendition of Quranic Cognate Object Constructions into Persian
سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 46
فایل این مقاله در 16 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JALST-4-1_002
تاریخ نمایه سازی: 6 مرداد 1405
چکیده مقاله:
Cognate objects are verbal nouns that are morphologically related to their preceding verb by being derived from it. For all their widespread use in Arabic, such constructions are almost non-existent in Persian, and their use in the language is considered a deviation from the normal syntax of Persian. Given this, translating them into a language with no exact equivalents is likely to pose challenges for translators. This language-related problem has been probed in this investigation through a descriptive-analytical research methodology. To see how translators of the Quran set about rendering them into Persian and what compensational syntactic devices they might resort to, a content analytic approach was applied to an aggregate of ۵۳ instances of Cognate Object Constructions (COCs) with their translations by five Persian translators of the holy book freely available on the website ParsQuran. It was found that the translators had mostly resorted to the deletion procedure rather than literal rendition, probably to help render them more naturally in the target language. The deleted cases of COC had been supplemented by a range of minor procedures, including transposition through using prepositional phrases and adverbs, the use of metaphors, amplification via absolute adverbs/adjectives and synonymy, and explicitation.
کلیدواژه ها:
نویسندگان
- -
Associate Professor, Department of Foreign Languages and Linguistics, Faculty of Literature and Humanities, Shiraz University, Shiraz, Iran/Department of Foreign Language Education, Faculty of Humanities, Salman Farsi University of Kazerun,
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :