A multi-dimensional analysis of interpreted and non-interpreted English discourses at Chinese and American government press conferences
Dandan Sheng and
Xin Li ()
Additional contact information
Dandan Sheng: Shanghai University of Engineering Science
Xin Li: Shanghai Jiao Tong University
Palgrave Communications, 2024, vol. 11, issue 1, 1-9
Abstract:
Abstract This study uses a multidimensional analysis (MDA) proposed by Douglas Biber to investigate the difference in communicative functions between the interpreted and non-interpreted political discourses, based on a comparable corpus of English interpretations of Chinese government press conferences and original English of U.S. government press conferences. The findings show that MDA distinguishes the interpreted from the non-interpreted discourse along several communicative dimensions and that the former is just as persuasive as the latter but has a higher information density and yet a lower degree of involvement, more non-narrative content, higher reference clarity, more abstract information, and a slightly lower degree of information elaboration. These differences can be explained by the nature of the interpretation of government press conferences as an institutional discourse, the interpreting norms, the interpreters’ professional habitus, as well as the working and broadcasting modes of consecutive interpretations in a political setting. MDA used in this study proves its effectiveness in identifying the differences in stylistics and discourse functions between the interpreted and non-interpreted discourse in similar communicative contexts and settings.
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1057/s41599-024-02968-9 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02968-9
Ordering information: This journal article can be ordered from
https://www.nature.com/palcomms/about
DOI: 10.1057/s41599-024-02968-9
Access Statistics for this article
More articles in Palgrave Communications from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().