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When non-renditions are not the exception

A corpus-based study of court interpreting
Authors: Mireia Vargas-Urpi;

When non-renditions are not the exception

Abstract

Abstract This article seeks to explore the nature and function of non-renditions in a corpus of transcriptions of 55 authentic interpreted court proceedings from Barcelona (the TIPp corpus). By doing so, it establishes a dialogue with Cheung’s (2017) contribution about non-renditions in court interpreting in Hong Kong. The transcriptions of the TIPp corpus were annotated using the software EXAMARALDA following Wadenjsö’s (1998) distinction between “talk as text” and “talk as activity”. Non-renditions were considered a part of “talk as activity”. A distinction was made between justified non-renditions, i.e. those that were used to ask for a pause to interpret, to ask for clarification, to confirm possibly misheard information and to retrieve parts of the original message in case of a lapsus, and unjustified non-renditions, e.g. when interpreters give advice to the defendants or warn them, when they answer on behalf of defendants, or when they supply information not provided in the original utterances. The findings reveal alarming averages of non-renditions in the bilingual parts of the trial (58.3 per bilingual hour), with a higher ratio of unjustified non-renditions. These findings have a clear correlation with the poor working conditions of court interpreters in Spain and reveal an urgent need for professionalisation of this practice in this country.

Country
Spain
Related Organizations
Keywords

Corpus TIPp, Impartialité, Impartiality, Court interpreting, Non-traductions, Interprétation judiciaire, TIPp corpus, Non-renditions

  • BIP!
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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).
    6
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
6
Top 10%
Average
Average
Green
hybrid