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Contrastive images of journalists and Chinese premiers in interpreter-mediated press conferences

A case study of Chinese ‘xiexie’

Bibliographic Data

ID22935293
AuthorsYijun Guo (0000-0001-8513-4347, Kunming University of Science and Technology, corresponding author)
Year2021
Volume29
Issue4
Pages507-521
Publication date2021-07-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePerspectives (JOURNAL)
Journal identifiersISSN: 0907-676X • E-ISSN: 1747-6623
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0907676x.2020.1747506
OpenAlexW3016219104
LanguageEN
Citations received1
References cited22

Although it is important to research the images of politicians as recreated in interpreted discourse, to date, minimal attention has been paid to interpreter-reshaped contrastive images of journalists and state leaders in a highly institutional central government-initiated context. This paper investigates how interpreters rebuild journalists’ and Chinese premiers’ images by rendering the Chinese word ‘谢谢’ (henceforth, ‘xiexie’, which translates to ‘thank you’) in English interpreted discourse. Through stratified random sampling, six Chinese premiers’ press conferences with conference consecutive interpreting services were selected for the case study. Using CUC_ParaConc software as an analytical tool, the researcher found that interpreters omitted most of the journalists’ ‘xiexie’ while rendering almost all of the premiers’ ‘xiexie’. For this reason, the polite images of journalists in Chinese may be construed as being direct and impolite in the English interpretations, while the premiers’ friendly and polite images tended to be maintained in the English version. It is argued that these distinct reconstructed images can be explained in terms of the tenor and institutional context of high-level Chinese political interpreting practice.

Context (archaeology) · Interpreter · Linguistics · Media studies · Politeness · Political science · Politics · Rendering (computer graphics) · Sociology · Artificial Intelligence · Computer Science · Discourse Analysis in Language Studies · History · Interpreting and Communication in Healthcare · Law · Philosophy · Translation Studies and Practices

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Unique citing works1
Citations per year0,33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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