Translation Quality Assessment : From Principles to Practice / edited by Joss Moorkens, Sheila Castilho, Federico Gaspari, Stephen Doherty.

Format:

Book

Contributor:

Moorkens, Joss, editor.

Castilho, Sheila, editor.

Gaspari, Federico, editor.

Doherty, Stephen, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Machine translation 2522-8021 ; 1.

Machine Translation: Technologies and Applications, 2522-8021 ; 1

Language:

English

Subjects (All):

Natural language processing (Computer science).

Computational linguistics.

Natural Language Processing (NLP).

Computational Linguistics.

Local Subjects:

Natural Language Processing (NLP).

Computational Linguistics.

Physical Description:

1 online resource (XII, 287 pages) : 40 illustrations.

Edition:

First edition 2018.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

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. .

Contents:

Introduction; Joss Moorkens, Sheila Castilho, Stephen Doherty and Federico Gaspari

Part I: Scenarios for Translation Quality Assessment

Approaches to Human and Machine Translation Quality Assessment; Sheila Castilho, Stephen Doherty, Federico Gaspari and Joss Moorkens

Translation Quality, Quality Management and Agency; Joanna Drugan, Ingemar Strandvik and Erkka Vuorinen

Crowdsourcing and Translation Quality; Miguel A. Jiménez-Crespo

On Education and Training in Translation Quality Assessment; Stephen Doherty, Federico Gaspari, Joss Moorkens and Sheila Castilho

Part II: Developing applications of Translation Quality Assessment

Metrics for Translation Quality Assessment: A case for Standardising Error Typologies; Arle Lommel

Error Classification and Analysis for Machine Translation Quality Assessment; Maja Popović

Quality Expectations of Machine Translation; Andy Way

Assessing Quality in Human and Machine Generated-subtitles and Captions; Stephen Doherty and Jan-Louis Kruger

Part III: Translation Quality Assessment in Practice

Machine Translation Quality Estimation: Applications and Future Perspectives; Lucia Specia and Kashif Shah

Machine Translation and Self-post-editing for Academic Writing Support: Quality Explorations; Sharon O'Brien, Marie-Josée Goulet and Michel Simard

What Level of Quality can Neural Machine Translation Attain on Literary text? Antonio Toral and Andy Way.

Other Format:

Printed edition:

ISBN:

978-3-319-91241-7

9783319912417

9783319912400

9783319912424

9783030082062

Access Restriction:

Restricted for use by site license.