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1
On the differences between human translations
In: Popović, Maja orcid:0000-0001-8234-8745 (2020) On the differences between human translations. In: 22nd Annual Conference of the European Association for Machine Translation (EAMT 2020), 3 -5 Nov 2020, Lisbon, Portugal (Online). (2020)
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2
MTrill project: machine translation impact on language learning
In: Resende, Natália orcid:0000-0002-5248-2457 and Way, Andy orcid:0000-0001-5736-5930 (2020) MTrill project: machine translation impact on language learning. In: European Association for Machine Translation (EAMT) 2020, 3-5 Nov 2020, Lisbon, Portugal (Online). ISBN 978-989-33-0589-8 (2020)
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3
MT syntactic priming effects on L2 English speakers
In: Resende, Natália orcid:0000-0002-5248-2457 , Cowan, Benjamin orcid:0000-0002-8595-8132 and Way, Andy orcid:0000-0001-5736-5930 (2020) MT syntactic priming effects on L2 English speakers. In: European Association for Machine Translation (EAMT) 2020, 2-6 Nov 2010, Lisbon, Portugal (Online). ISBN 978-989-33-0589-8 (2020)
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4
Automatic Translation, Context, and Supervised Learning in Comparative Politics
In: Courtney, Michael, Breen, Michael orcid:0000-0002-5857-9938 , McMenamin, Iain orcid:0000-0002-1704-390X and McNulty, Gemma orcid:0000-0002-6909-6958 (2020) Automatic Translation, Context, and Supervised Learning in Comparative Politics. Journal of Information Technology and Politics . ISSN 1933-1681 (2020)
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5
Rapid development of competitive translation engines for access to multilingual COVID-19 information
In: Way, Andy orcid:0000-0001-5736-5930 , Haque, Rejwanul orcid:0000-0003-1680-0099 , Xie, Guodong, Gaspari, Federico orcid:0000-0003-3808-8418 , Popović, Maja orcid:0000-0001-8234-8745 and Poncelas, Alberto orcid:0000-0002-5089-1687 (2020) Rapid development of competitive translation engines for access to multilingual COVID-19 information. Informatics . ISSN 2227-9709 (2020)
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6
A reception study of machine translated subtitles for MOOCs
Hu, Ke. - : Dublin City University. School of Applied Language and Intercultural Studies, 2020. : Dublin City University. Centre for Translation and Textual Studies (CTTS), 2020. : Dublin City University. ADAPT, 2020
In: Hu, Ke (2020) A reception study of machine translated subtitles for MOOCs. PhD thesis, Dublin City University. (2020)
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7
“A tiny cog in a large machine”: Digital Taylorism in the Translation Industry
In: Moorkens, Joss orcid:0000-0003-0766-0071 (2020) “A tiny cog in a large machine”: Digital Taylorism in the Translation Industry. Translation Spaces, 9 (1). pp. 12-34. ISSN 2211-3711 (2020)
Abstract: Translators have worked with the assistance of computers for many years, usually translating whole texts, divided into segments but in sequential order. In order to maximise efficiency and inspired by similar moves in the tech industry and predictions for Industry 4.0, large translation companies have begun to break tasks down into smaller chunks and to rigidly define and monitor translation processes. This is particularly true of platform-mediated work, highly collaborative workflows, and multimedia work that requires near-live turnaround times. This article considers such workflows in the context of measures of job satisfaction and discussion of sustainable work systems, proposing that companies prioritise long-term returns and attempt to balance the needs of all stakeholders in a translation process. Translators and translator trainers also have a role to play in achieving this balance.
Keyword: Artificial intelligence; business ethics; digital Taylorism; fair MT; labour sociology; Machine translating; scientific management; sustainable work systems and translation industry; Translating and interpreting
URL: http://doras.dcu.ie/24968/
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8
Comprehension and trust in crises: investigating the impact of machine translation and post-editing
In: Rossetti, Alessandra orcid:0000-0002-2162-9639 , O'Brien, Sharon orcid:0000-0003-4864-5986 and Cadwell, Patrick orcid:0000-0002-2371-4378 (2020) Comprehension and trust in crises: investigating the impact of machine translation and post-editing. In: 22nd Annual Conference of the European Association for Machine Translation (EAMT 2020), 6 Nov 2020, Lisbon, Portugal. ISBN 978-989-33-0589-8 (2020)
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9
Machine translation of user-generated content
Lohar, Pintu. - : Dublin City University. School of Computing, 2020. : Dublin City University. ADAPT, 2020
In: Lohar, Pintu (2020) Machine translation of user-generated content. PhD thesis, Dublin City University. (2020)
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10
Neural machine translation and the evolution of the localisation sector: implications for training
In: O'Brien, Sharon orcid:0000-0003-4864-5986 and Rossetti, Alessandra orcid:0000-0002-2162-9639 (2020) Neural machine translation and the evolution of the localisation sector: implications for training. Journal of Internationalization and Localization, 7 (1/2). pp. 95-121. ISSN 2032-6904 (2020)
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11
A human evaluation of English-Irish statistical and neural machine translation
In: Dowling, Meghan orcid:0000-0003-1637-4923 , Castilho, Sheila orcid:0000-0002-8416-6555 , Moorkens, Joss orcid:0000-0003-4864-5986 , Lynn, Teresa and Way, Andy orcid:0000-0001-5736-5930 (2020) A human evaluation of English-Irish statistical and neural machine translation. In: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 6 Nov 2020, Lisbon, Portugal. (2020)
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12
A set of recommendations for assessing human-machine parity in language translation
In: Läubli, Samuel orcid:0000-0001-5362-4106 , Castilho, Sheila orcid:0000-0002-8416-6555 , Neubig, Graham, Sennrich, Rico orcid:0000-0002-1438-4741 , Shen, Qinlan and Toral, Antonio orcid:0000-0003-2357-2960 (2020) A set of recommendations for assessing human-machine parity in language translation. Journal of Artificial Intelligence Research, 67 . pp. 653-672. ISSN 1076-9757 (2020)
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13
On the same page? Comparing inter-annotator agreement in sentence and document level human machine translation evaluation
In: Castilho, Sheila orcid:0000-0002-8416-6555 (2020) On the same page? Comparing inter-annotator agreement in sentence and document level human machine translation evaluation. In: Fifth Conference on Machine Translation, 19-20 Nov 2020, Dominican Republic (Online). (2020)
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