Gender difference of hedging in interpreting for chinese government press conferences

A corpus-based study

Bibliographic Data

ID23014459
AuthorsFeng Pan (0000-0002-1362-4336, Huazhong University of Science and Technology, corresponding author), Binghan Zheng (0000-0001-5302-4709, Durham University)
Year2017
Volume18
Issue2
Pages171-193
Publication date2017-12-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAcross Languages and Cultures (JOURNAL)
Journal identifiersISSN: 1585-1923 • E-ISSN: 1588-2519
PublisherAkademiai Kiado Zrt. (PUBLISHER • HU)
DOI10.1556/084.2017.18.2.1
OpenAlexW2766708589
LanguageEN
Citations received5
References cited27

This paper aims to examine gender differences in hedging in Chinese–English conference interpreting based on a transcribed parallel corpus. The point of departure was to test Holmes’s (1986, 1988a) claims that women do not necessarily employ more hedges than men but that women’s use of hedges tends to focus more on interpersonal relationships while men’s is more on propositional precision. Hyland’s (1996a, 1996b) model in which hedges were categorized into accuracy-oriented, speaker-oriented and audience-oriented, has been adapted for this end. Our finding shows that male interpreters actually employ more hedges than their female counterparts on the whole. In particular, their accuracy-oriented and speaker-oriented hedges exceed those of female interpreters, but not for audience-oriented ones. To find out whether these differences were caused by the source texts per se or by interpreters’ manipulation, we named four types of interpreting approach towards hedge items: direct transfer, indirect transfer, shift and addition. The former two types were identified as source text interference while the latter two as interpreters’ manipulation. The results indicate that male interpreters exceed female interpreters in terms of shift and addition cases in all three types of hedges. The findings of the present study contribute to a more profound understanding of gender difference in language mediation and also have implications for future interpreter training.

Government (linguistics) · Hedge · Interpersonal communication · Interpreter · Linguistics · Mediation · Negotiation · Political science · Source text · Artificial Intelligence · Computer Science · Discourse Analysis in Language Studies · Interpreting and Communication in Healthcare · Language, Discourse, Communication Strategies · Law · Psychology · Social Psychology

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