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Making Way in Corpus-based Interpreting Studies

  • Mariachiara Russo
  • Claudio Bendazzoli
  • Bart Defrancq

Part of the New Frontiers in Translation Studies book series (NFTS)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Silvia Bernardini, Adriano Ferraresi, Mariachiara Russo, Camille Collard, Bart Defrancq
    Pages 21-42
  3. Graham Neubig, Hiroaki Shimizu, Sakriani Sakti, Satoshi Nakamura, Tomoki Toda
    Pages 205-215

About this book

Introduction

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.

Keywords

Interpreting Studies Corpus Simultaneous Interpreting Statistical Methods Cognitive Processing Comparative Linguistics Translation

Editors and affiliations

  • Mariachiara Russo
    • 1
  • Claudio Bendazzoli
    • 2
  • Bart Defrancq
    • 3
  1. 1.Department of Interpreting and TranslationUniversity of BolognaForlìItaly
  2. 2.Department of Economic and Social Studies, Mathematics and StatisticsUniversity of TurinTorinoItaly
  3. 3.Department of Translation, Interpreting and CommunicationGhent UniversityGhentBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-6199-8
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Social Sciences
  • Print ISBN 978-981-10-6198-1
  • Online ISBN 978-981-10-6199-8
  • Series Print ISSN 2197-8689
  • Series Online ISSN 2197-8697
  • Buy this book on publisher's site