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Springer Making Way in Corpus-based Interpreting Studies (New Frontiers in Translation Studies)

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Description

This book presents a collection of state-of-the-art work in corpus-based interpreting studies, highlighting international research on the properties of interpreted speech, based on naturalistic interpreting data. Interpreting research has long been hampered by the lack of naturalistic data that would allow researchers to make empirically valid generalizations about interpreting. The researchers who present their work here have played a pioneering role in the compilation of interpreting data and in the exploitation of that data. The collection focuses on both of these aspects, including a detailed  overview of interpreting corpora, a collective paper on the way forward in corpus compilation and several studies on interpreted  speech in diverse language pairs and interpreter-mediated settings, based on existing corpora. Review “The book has demonstrated that researchers have successfully made way in CIS, putting the fast-developing research field on a right track that may finally enable CIS researchers to discover the undiscoverable and to use corpus-based findings for practical ends. Undoubtedly, after Straniero Sergio and Falbo (2012), the current volume represents another authoritative reference on CIS, and is therefore a must read for interpreting students, trainers, researchers and other stakeholders interested in CIS.” (Chao Han, FORUM International Journal of Interpretation, Vol. 18 (1), 2020) “The volume presents a Compilation of state-of-the-art research in CIS over the past decade and is therefore an essential resource for both established researchers and postgraduate candidates. … the main purpose of this book is to showcase some of the larger existing corpora, and most authors rise to this task.” (Ella Wehrmeyer, Interpreting, Vol. 21 (1), 2019) From the Back Cover This book presents a collection of state-of-the-art work in corpus-based interpreting studies, highlighting international research on the properties of interpreted speech, based on naturalistic interpreting data. Interpreting research has long been hampered by the lack of naturalistic data that would allow researchers to make empirically valid generalizations about interpreting. The researchers who present their work here have played a pioneering role in the compilation of interpreting data and in the exploitation of that data. The collection focuses on both of these aspects, including a detailed  overview of interpreting corpora, a collective paper on the way forward in corpus compilation and several studies on interpreted  speech in diverse language pairs and interpreter-mediated settings, based on existing corpora. About the Author Mariachiara Russo is Full Professor of Spanish Language and Translation at the Department of Interpreting and Translation of the University of Bologna at Forlì (Italy) and free-lance conference interpreter (Italian, English, Spanish). She is the Director of the MA in Interpreting and teaches Interpreting Theory and simultaneous and consecutive interpreting. She coordinated the EPIC project and is currently among the coordinators of the EU-funded Project “SHIFT in Orality- Shaping the Interpreters of the Future and of Today” on remote interpreting. She has published extensively on the following research topics: corpus-based interpreting studies, aptitude testing for interpreting, conference interpreting, liaison interpreting, contrastive linguistics, simultaneous film interpreting. Claudio Bendazzoli is Assistant Professor of English Language and Translation at the Department of Economic and Social Studies, Mathematics and Statistics of the University of Turin (Italy). Between 2004 and 2011, he worked at the Department of Interpreting and Translation of the University of Bologna at Forlì, where he completed his PhD in Interpreting Studies. He developed the Directionality in Simultaneous Interpreting Corpus (DIRSI-C) and was part of the research group that crea

Product Specifications

Colour
White
Format
hardcover
Domain
Amazon UK
Release Date
03 November 2017
Listed Since
06 July 2017

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