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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Quantitative Methods in Corpus-Based Translation Studies: A practical guide to descriptive translation research

Oakes, Michael and Meng, J I, eds. (2012) Quantitative Methods in Corpus-Based Translation Studies: A practical guide to descriptive translation research. Studies in Corpus Linguistics . John Benjamins Publishing Company Ltd. ISBN 978 90 272 0356 4

Item Type: Book

Abstract

This is a comprehensive guidebook to the quantitative methods needed for Corpus-Based Translation Studies (CBTS). It provides a systematic description of the various statistical tests used in Corpus Linguistics which can be used in translation research. In Part 1, Theoretical Explorations, the interplay between quantitative and qualitative methodologies is explored. Part 2, Essential Corpus Studies, describes how to undertake quantitative studies, with a suitable level of technical and relevant case studies. Part 3, Quantitative Explorations of Literary Translations, looks at translations of classic works by Cao Xueqin, James Joyce and other authors. Finally, Part 4 on Translation Lexis uses a variety of techniques new to translation studies, including multivariate analysis and game theory. This book is aimed at students and researchers of corpus linguistics, translation studies and quantitative linguistics. It will significantly advance current translation studies in terms of methodological innovation and will fill in an important gap in the development of quantitative methods for interdisciplinary translation studies.

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More Information

Depositing User: Glenda Young

Identifiers

Item ID: 3240
ISBN: 978 90 272 0356 4
URI: http://sure.sunderland.ac.uk/id/eprint/3240
Official URL: http://benjamins.com/#catalog/books/scl.51/main

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Catalogue record

Date Deposited: 26 Nov 2012 09:24
Last Modified: 18 Dec 2019 15:34

Contributors

University Divisions

Faculty of Technology
Faculty of Technology > School of Computer Science

Subjects

Computing > Information Systems

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