Strategies of translating swear words into Arabic: a case study of a parallel corpus of Netflix English-Arabic movie subtitles

<p dir="ltr">This study adopts a corpus-assisted approach to explore the translation strategies that Netflix subtitlers opted for in rendering 1564 English swear words into Arabic. It uses a 699,229-word English-Arabic parallel corpus consisting of the English transcriptions of forty...

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Bibliographic Details
Main Author:	Hussein Abu-Rayyash (17900036) (author)
Other Authors:	Ahmad S. Haider (17900039) (author), Amer Al-Adwan (17316982) (author)
Published:	2023
Subjects:	Information and computing sciences Artificial intelligence Computer vision and multimedia computation Language, communication and culture Language studies Linguistics Audiovisual translation (AVT) Multimedia translation Transfer of verbal and non-verbal aspects Multi-semiotic translation Subtitling Dubbing Intralingual subtitles Interlingual subtitles Bilingual subtitles Corpus linguistics Corpus-assisted translation studies Translation strategies Swear words Taboo language Modern Standard Arabic (MSA) Arabic vernaculars Politeness in language Denotative meaning Connotative meaning Language and culture
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Strategies of translating swear words into Arabic: a case study of a parallel corpus of Netflix English-Arabic movie subtitles

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