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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
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ZENODO
Thesis . 2025
License: CC BY
Data sources: Datacite
ZENODO
Thesis . 2025
License: CC BY
Data sources: Datacite
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Translation of "Fuck" into European Spanish Subtitles

Authors: Cutanda López, Ramón;

Translation of "Fuck" into European Spanish Subtitles

Abstract

This bachelor's thesis analyses the techniques used to translate fuck and derivatives into European Spanish subtitles in a corpus with 24,955 samples extracted from 122 films. The generated corpus covers a very wide range of genres, years of production and English varieties. The uses of fuck have been classified according to the taxonomy by J. Lachlan Mackenzie based on Functional Discourse Grammar (FDG), while Catarina Xavier's three-layered typology has been used for the classification of the translation strategies. The results of the analysis of the corpus have been compared to those of a survey where over 100 users commented on their perception of subtitling, in general, and swearing in particular. Finally, the thesis also describes the stifling DRM restrictions used to protect copyrighted contents in digital versions of films that, in practice, prevent the legal extraction of subtitles from owned media or active subscriptions to streaming platforms. Corpus:https://tofiess.org.es/csv/corpus NOTE: The corpus takes 5-10 seconds to load, so please be patient. Also, due to copyright concerns, it does not include the dialogues. If anyone is willing to offer legal counseling on that regard, I would gladly share the full corpus. You can contact me at https://ramoncutanda.com/contacto/. Translation memory:https://tofiess.org.es/csv/translation-memory

Country
Spain
Keywords

fuck, copyright, translation, swearing, 5505.10 Filología, subtitles

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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