No. 31 (2019): Post-Editing in Practice: Process, Product and Networks

Lucja Biel

Editorial

https://doi.org/10.26034/cm.jostrans.2019.172

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Introduction

Lucas Nunes Vieira, Elisa Alonso, Lindsay Bywood

2-13

Post-editing in practice – Process, product and networks

https://doi.org/10.26034/cm.jostrans.2019.173

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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

https://doi.org/10.26034/cm.jostrans.2019.175

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Arlene Koglin, Rossana Cunha

38-59

Investigating the post-editing effort associated with machine-translated metaphors: a process-driven analysis

https://doi.org/10.26034/cm.jostrans.2019.176

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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

https://doi.org/10.26034/cm.jostrans.2019.177

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Masaru Yamada

87-106

The impact of Google Neural Machine Translation on Post-editing by student translators

https://doi.org/10.26034/cm.jostrans.2019.178

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Michael Carl, M. Cristina Toledo Baez

107-132

Machine translation errors and the translation process: a study across different languages

https://doi.org/10.26034/cm.jostrans.2019.179

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Benjamin Screen

133-157

What effect does post-editing have on the translation product from an end-user's perspective?

https://doi.org/10.26034/cm.jostrans.2019.180

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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

https://doi.org/10.26034/cm.jostrans.2019.181

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Caroline Rossi, Jean-Pierre Chevrot

177-200

Uses and perceptions of Machine Translation at the European Commission

https://doi.org/10.26034/cm.jostrans.2019.182

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Akiko Sakamoto

201-216

Why do many translators resist post-editing? A sociological analysis using Bourdieu's concepts

https://doi.org/10.26034/cm.jostrans.2019.183

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Ana Guerberof, Joss Moorkens

217-238

Machine translation and post-editing training as part of a master's programme

https://doi.org/10.26034/cm.jostrans.2019.184

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Jean Nitzke, Silvia Hansen-Schirra, Carmen Canfora

239-259

Risk management and post-editing competence

https://doi.org/10.26034/cm.jostrans.2019.185

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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

https://doi.org/10.26034/cm.jostrans.2019.186

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Book reviews

Tao Li

281-283

Russo, Mariachiara, Bendazzoli, Claudio and Bart Defrancq (eds). Making Way in Corpus-based Interpreting Studies (2016)

https://doi.org/10.26034/cm.jostrans.2019.187

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Alejandro Bolanos Garcia-Escribano

284-286

María González-Davies and Vanessa Enríquez-Raído (eds). Situated Learning in Translator and Interpreter Training

https://doi.org/10.26034/cm.jostrans.2019.188

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Sharon Black

287-288

Jorge Díaz Cintas and Kristijan Nikolić (eds). Fast-Forwarding with Audiovisual Translation

https://doi.org/10.26034/cm.jostrans.2019.189

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Mikolaj Deckert

289-291

John W. Schwieter and Aline Ferreira (eds). The Handbook of Translation and Cognition

https://doi.org/10.26034/cm.jostrans.2019.190

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JC Penet

292-293

Tomáš Svoboda, Łucja Biel and Krzysztof Łoboda (eds). Quality aspects in institutional translation

https://doi.org/10.26034/cm.jostrans.2019.838

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Remy Attig

294-295

Margaret Rogers. Specialised Translation. Shedding the 'Non-Literary' Tag

https://doi.org/10.26034/cm.jostrans.2019.839

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Sarah Berthaud

296-298

Isabel Lacruz and Riitta Jääskeläinen (eds). Innovation and Expansion in Translation Process Research

https://doi.org/10.26034/cm.jostrans.2019.840

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Maggie Hui

229-231

Gloria Corpas Pastor and Isabel Durán-Muñoz (eds). Trends in E-Tools and Resources for Translators and Interpreters

https://doi.org/10.26034/cm.jostrans.2019.841

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Daniel Segura Giménez

232-234

Dorothy Kenny (ed). Human Issues in Translation Technology

https://doi.org/10.26034/cm.jostrans.2019.842

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