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The transcription of interpreting data

Authors: NIEMANTS, NATACHA SARAH ALEXANDRA;

The transcription of interpreting data

Abstract

The growing interest in studies based on samples of authentic interpreting data goes hand in hand with the need to think of adequate methodologies to make such data available for research. During the 1980s, transcription issues posed a series of theoretical questions which may now be worth revisiting in the light of recent debates in Interpreting Studies (IS), and of new methodological instruments. Building on the premise that nothing is as practical as good theory, this paper aims at informing decisions on transcribing interpreting events. It first reviews some general theoretical issues involved in any transcription of oral data, and then engages with issues that are particular to IS.

Keywords

oral data; speech corpus; timing; machine-readable; multimodality, oral data, speech corpus, timing, machine-readable, multimodality

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visibility
citations
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
17
Top 10%
Top 10%
Average
82
Green