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  4. The Interpreters' Newsletter
  5. The Interpreters' Newsletter n. 22 - 2017
  6. A multimodal corpus approach to dialogue interpreting studies in the Chinese context: towards a multi-layer analytic framework
 
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A multimodal corpus approach to dialogue interpreting studies in the Chinese context: towards a multi-layer analytic framework

Gao, Fei
•
Wang, Binhua
2017
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ISSN
1591-4127
DOI
10.13137/2421-714X/20736
http://hdl.handle.net/10077/20736
  • Article

e-ISSN
2421-714X
Abstract
Analysing both linguistic and non-linguistic strata in dialogue interpreting (DI) studies sheds new light on the dynamic interaction where meanings are also constructed both verbally and non-verbally. Most existing literature in DI has focused on linguistic description, calling for the need to explore interpretative and explanatory frontiers. DI between English and Chinese involves linguistic and cultural complexities; albeit they impose significant difficulties, these complications provide useful data for analysis beyond description as the multimodal semiotic resources of DI work in an integrated entirety. Underpinned by the stratification theory in Systemic Functional Linguistics (SFL), we propose a multi-layer analytic framework (MAF) that integrates with the multimodal approach to DI, empowers the corpus techniques and enables DI researchers to investigate the ‘how’ and ‘why’ questions cross-modally, in particular when distant language pairs (such as English and Chinese) entail investigation into visual and contextual data. This article, though exploratory in nature, raises important methodological issues for future DI studies involving linguistically and culturally distant languages.
Subjects
  • Dialogue Interpreting...

  • Multimodal Corpus App...

  • Multi-layer Analytic ...

  • English-Chinese langu...

Publisher
EUT Edizioni Università di Trieste
Source
Fei Gao, Binhua Wang, "A multimodal corpus approach to dialogue interpreting studies in the Chinese context: towards a multi-layer analytic framework", in: The Interpreters' Newsletter n. 22 (2017), Trieste, EUT Edizioni Università di Trieste, 2017, pp. 17-38
Languages
en
Rights
Attribution-NonCommercial-NoDerivatives 4.0 Internazionale
Licence
http://creativecommons.org/licenses/by-nc-nd/4.0/
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