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Translation Quality Assessment

From Principles to Practice

  • Joss Moorkens
  • Sheila Castilho
  • Federico Gaspari
  • Stephen Doherty

Part of the Machine Translation: Technologies and Applications book series (MATRA, volume 1)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Joss Moorkens, Sheila Castilho, Federico Gaspari, Stephen Doherty
    Pages 1-6
  3. Scenarios for Translation Quality Assessment

    1. Front Matter
      Pages 7-7
    2. Sheila Castilho, Stephen Doherty, Federico Gaspari, Joss Moorkens
      Pages 9-38
    3. Stephen Doherty, Joss Moorkens, Federico Gaspari, Sheila Castilho
      Pages 95-106
  4. Developing Applications of Translation Quality Assessment

  5. Translation Quality Assessment in Practice

    1. Front Matter
      Pages 199-199
    2. Sharon O’Brien, Michel Simard, Marie-Josée Goulet
      Pages 237-262

About this book

Introduction

This is the first volume that brings together research and practice from academic and industry settings and a combination of human and machine translation evaluation. Its comprehensive collection of papers by leading experts in human and machine translation quality and evaluation who situate current developments and chart future trends fills a clear gap in the literature. This is critical to the successful integration of translation technologies in the industry today, where the lines between human and machine are becoming increasingly blurred by technology: this affects the whole translation landscape, from students and trainers to project managers and professionals, including in-house and freelance translators, as well as, of course, translation scholars and researchers.

 The editors have broad experience in translation quality evaluation research, including investigations into professional practice with qualitative and quantitative studies, and the contributors are leading experts in their respective fields, providing a unique set of complementary perspectives on human and machine translation quality and evaluation, combining theoretical and applied approaches.  

Keywords

Machine translation quality evaluation translation quality assessment mutidimensional quality metrics education and training for translation quality machine translation for academic writing

Editors and affiliations

  1. 1.ADAPT Centre/School of Applied Language and Intercultural StudiesDublin City UniversityDublinIreland
  2. 2.ADAPT Centre/School of ComputingDublin City UniversityDublinIreland
  3. 3.ADAPT Centre/School of ComputingDublin City UniversityDublinIreland
  4. 4.School of Humanities and LanguagesThe University of New South WalesSydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-91241-7
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-91240-0
  • Online ISBN 978-3-319-91241-7
  • Series Print ISSN 2522-8021
  • Series Online ISSN 2522-803X
  • Buy this book on publisher's site