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Drama translation strategies

English-Spanish (1950-1990)
Authors: Raquel Merino;

Drama translation strategies

Abstract

This paper, which deals with drama translations in Spain (English-Spanish) from 1950, presents the results of a four-stage analysis carried out on a large corpus of translated plays. Starting from the assumption that theatre is part of the field of drama (which includes cinema and television, among other spectacles), and taking into account drama’ś inherent specificity (written to be performed), as well as its peculiar structure (dialogue versus prose) this study on translated drama posits, as a starting point, an inherently dramatic unit (réplica) which is instrumental in describing and comparing drama texts, be they translated or not. Starting from an outline of the four-stage process adopted, this paper elaborates fundamentally on extreme cases of translation strategies (addition, deletion and adequacy), found to have been applied in each of the three extreme cases studied, relating them with a previously uncovered twofold characterization (into reading and acting editions) of the translations under scrutiny.

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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!
1
Average
Average
Average
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