A Pragmatic Analysis of the Persian and Kurdish Translations of the Quranic Discourse Marker Wa in Parallel Corpora


  • Ali Hemmati 📧 Assistant Professor, Department of English Language Teaching, Farhangian University, Tehran, Iran
  • Alimohammad Mohammadi Assistant professor, Faculty member of Department of English Language and Literature, Faculty of Literature and Languages, Arak University, Arak, Iran


This study analysed the Persian and the Sorani Kurdish translations of the most frequent, effective, and complicated Quranic discourse marker wa. The research is conducted on the basis of a theoretical perspective and an analytic model and is both descriptive and qualitative. The corpus consists of the Quranic texts, the Persian, and the Sorani Kurdish translations of the Quran. It contains of six sections of the Quran, accounting for 20% of the whole text which are selected randomly. The results showed 86 different types, combinations, and sequences of four groups of elaborative, contrastive, inferential, and temporal discourse markers were applied in the Persian and the Sorani Kurdish translations of the Holy Quran. The findings indicate that the translation of this discourse marker in the Quran in both languages is not conducted on a literal and word-by-word basis and substantiates linguistic, pragmatic, and discourse oriented creativity in the translations of the Quran into the Persian and the Kurdish languages. The obtained results may prove that the translators are expected to adapt and adopt their approaches, strategies, and procedures to accommodate different lexical, synthetic, semantic, and pragmatic variables in other languages, cultures, and discourses.


Discourse markers, Discourse monitoring, the Quran, wa


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How to Cite

Hemmati, A., & Mohammadi, A. (2023). A Pragmatic Analysis of the Persian and Kurdish Translations of the Quranic Discourse Marker Wa in Parallel Corpora. Iranian Journal of Translation Studies, 21(82). Retrieved from https://journal.translationstudies.ir/ts/article/view/1100



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