No. 31 (2019): Post-Editing in Practice: Process, Product and Networks
Post-Editing in Practice: Process, Product and Networks
Edited by Lucas Nunes Vieira, Elisa Alonso and Lindsay Bywood

Introduction

Lucas Nunes Vieira, Elisa Alonso, Lindsay Bywood
2-13
Post-editing in practice – Process, product and networks
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Articles

Kristine Bundgaard, Tina Paulsen Christensen
14-37
Is the concordance feature the new black? A workplace study of translators' interaction with translation resources while post-editing TM and MT matches
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Arlene Koglin, Rossana Cunha
38-59
Investigating the post-editing effort associated with machine-translated metaphors: a process-driven analysis
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Yanfang Jia, Michael Carl, Xiangling Wang
60-86
How does the post-editing of Neural Machine Translation compare with from-scratch translation? A product and process study
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Masaru Yamada
87-106
The impact of Google Neural Machine Translation on Post-editing by student translators
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Michael Carl, M. Cristina Toledo Baez
107-132
Machine translation errors and the translation process: a study across different languages
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Benjamin Screen
133-157
What effect does post-editing have on the translation product from an end-user's perspective?
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Gys-Walt Van Egdom, Mark Pluymaekers
158-176
Why go the extra mile? How different degrees of post-editing affect perceptions of texts, senders and products among end users
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Caroline Rossi, Jean-Pierre Chevrot
177-200
Uses and perceptions of Machine Translation at the European Commission
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Akiko Sakamoto
201-216
Why do many translators resist post-editing? A sociological analysis using Bourdieu's concepts
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Ana Guerberof, Joss Moorkens
217-238
Machine translation and post-editing training as part of a master's programme
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Jean Nitzke, Silvia Hansen-Schirra, Carmen Canfora
239-259
Risk management and post-editing competence
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Cristina Plaza Lara
260-280
Análisis DAFO sobre la inclusión de la traducción automática y la posedición en los másteres de la red EMT
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