Información General

• Autores: Joss Moorkens (ed. lit.), Sheila Castilho (ed. lit.), Federico Gaspari (ed. lit.), Stephen Doherty (ed. lit.)
• Editores: Springer Suiza
• Año de publicación: 2018
• Colecciones: Machine Translation: Technologies and Applications
• País: Suiza
• Idioma: inglés
• ISBN: 978-3-030-08206-2, 978-3-319-91241-7, 978-3-319-91240-0
• Texto completo no disponible (Saber más ...)

Reseñas

• Ha sido reseñado en:

  • Translation Quality Assessment: From Principles to Practice

    Rocío Caro Quintana

    Language Value, ISSN-e 1989-7103, Vol. 13, Vol. 1, 2020, págs. 110-115

Resumen

• 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.

Otros catálogos

• Red de Bibliotecas Universitarias (REBIUN)

Listado de artículos

• • Introduction

    Joss Moorkens, Sheila Castilho, Federico Gaspari, Stephen Doherty

    págs. 1-6

    

  • Scenarios for Translation Quality Assessment

    • Approaches to Human and Machine Translation Quality Assessment

      Sheila Castilho, Stephen Doherty, Federico Gaspari, Joss Moorkens

      págs. 9-38

      

    • Translation Quality, Quality Management and Agency: Principles and Practice in the European Union Institutions

      Joanna Drugan, Ingemar Strandvik, Erkka Vuorinen

      • Resumen

      págs. 39-68

      

    • Crowdsourcing and Translation Quality: Novel Approaches in the Language Industry and Translation Studies

      Miguel Angel Jiménez Crespo

      • Resumen

      págs. 69-93

      

    • On Education and Training in Translation Quality Assessment

      Stephen Doherty, Joss Moorkens, Federico Gaspari, Sheila Castilho

      • Resumen

      págs. 95-106

      

  • Developing Applications of Translation Quality Assessment

    • Metrics for Translation Quality Assessment: A Case for Standardising Error Typologies

      Arle Lommel

      • Resumen

      págs. 109-127

      

    • Error Classification and Analysis for Machine Translation Quality Assessment

      Maja Popovic

      • Resumen

      págs. 129-158

      

    • Quality Expectations of Machine Translation

      Andy Way

      • Resumen

      págs. 159-178

      

    • Assessing Quality in Human- and Machine-Generated Subtitles and Captions

      Stephen Doherty, Jan-Louis Kruger

      • Resumen

      págs. 179-197

      

  • Translation Quality Assessment in Practice

    • Machine Translation Quality Estimation: Applications and Future Perspectives

      Lucia Specia, Kashif Shah

      • Resumen

      págs. 201-235

      

    • Machine Translation and Self-post-editing for Academic Writing Support: Quality Explorations

      Sharon O'Brien, Michel Simard, Marie Josée Goulet

      • Resumen

      págs. 237-262

      

    • What Level of Quality Can Neural Machine Translation Attain on Literary Text?

      Antonio Toral Ruiz, Andy Way

      • Resumen

      págs. 263-287