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Using Rhetorical Structure Theory (RST) to describe the development of coherence in interpreting trainees

Authors: Gracie Peng;

Using Rhetorical Structure Theory (RST) to describe the development of coherence in interpreting trainees

Abstract

Making global sense has long been seen as one of the most important criteria for judging the success of a given interpretation. For consecutive in particular, special emphasis is placed on the coherence and structure of the rendition. This study addresses the question of how to investigate coherence in interpreting and observe its development in trainees. We propose Rhetorical Structure Theory (RST), as a framework for exploring how coherence is realised in interpretations produced by professional as well as trainee interpreters. A corpus of 66 consecutive interpretations, by eight novice and three professional interpreters, of three Chinese and three English speeches, was transcribed, segmented into functional units, and mapped into a tree-like RST description. The analyses and results reveal that novices tend to focus on local cohesion while professionals tend to emphasise the global structure of the discourse. This difference can usefully be addressed in training.

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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!
33
Top 10%
Top 10%
Average
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