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10.108023311886.2023.2231622.pdf (497.78 kB)

A corpus-assisted cognitive analysis of metaphors in the Arabic subtitling of English TV series

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submitted on 2024-02-11, 07:13 and posted on 2024-02-12, 11:40 authored by Ronza Abu Rumman, Ahmad S. Haider, Sane Yagi, Amer Al-Adwan

This paper reports on the findings of a study that aimed at investigating the conceptual metaphors used in the Arabic subtitling of 150 English TV series (1982–2017), adopting Conceptual Metaphor Theory (CMT) proposed by Lakoff and Johnson (1980) for data analysis. The data were examined by using WordSmith Tools (Scot 2012) which is compatible with Arabic data. The study revealed that the most frequently used source domains in the corpus were journey, building, war, illness, plants, and machine, respectively; whereas, the least frequently used source domains were body parts, game, water, supernatural creatures, fabrics, fire, and light, respectively. Besides, the most commonly used type of conceptual metaphor is structural metaphor. The study concluded that the vast majority of metaphorical expressions are lexicalized and conventional to make the subtitling easily accessible to the reader. The study recommends that future studies be conducted on the translation strategies adopted in subtitling English metaphors into Arabic.

Other Information

Published in: Cogent Social Sciences
License: http://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.1080/23311886.2023.2231622

Funding

Open Access funding provided by the Qatar National Library.

History

Language

  • English

Publisher

Taylor & Francis

Publication Year

  • 2023

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Hamad Bin Khalifa University
  • College of Humanities and Social Sciences - HBKU
  • Translation and Interpreting Institute - CHSS

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