Lexical Gap in Human Translations vs. Machine Translation Systems (MTSs): Focusing on Some Verses in the Holy Qur’an

  • سال انتشار: 1401
  • محل انتشار: مجله آموزش زبان و مطالعات ترجمه، دوره: 7، شماره: 1
  • کد COI اختصاصی: JR_EFL-7-1_003
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 202
دانلود فایل این مقاله

نویسندگان

لیلا نیک نسب

Instructor, Department of Humanities, Hazrat-e Masoumeh University, Qom, Iran

چکیده

Linguistic and semantic differences are some of the main problems of translating the Holy Qur’an into English. The present study highlights the problem of lexical gap and examines a number of terms- totally ۱۱۷ in ۱۱۰ verses- of the Holy Qur’an, including the referential meaning of ‘sin’ and their English translations. The researcher aimed to find the strategies applied by three translators and three machine translation systems (MSTs) and to compare them.  In this regard, five frequent and common terms – ‘اثم’, ‘جناح’, ‘سیئه’, ‘ذنب’, and ‘وزر’-were selected. The strategies proposed by Mollanazar (۲۰۰۹) were employed to fill the gap.  To do so, the English translations produced by three machine translation systems (MTSs), namely Google Translate, SDL Free Translation and Systranet were compared with three human translation by M.H. Shakir, A.Qaraei and T.B.Irving. The results revealed that in most verses, almost in six English translations, a generic term was used without any additional information to make the sense clearer. There was no noticeable difference between human and machine translations in applying the proposed strategies to fill the gap and make the English version more meaningful in terms of these apparently similar but contextually different terms. Thus, it seems that these differences were not focused on, while rendering these given verses to English. 

کلیدواژه ها

Generic Term, Lexical Gap, Machine Translation, translation strategies

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.