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1
Integrating machine translation into MOOCS
In: Castilho, Sheila orcid:0000-0002-8416-6555 , Gaspari, Federico orcid:0000-0003-3808-8418 , Moorkens, Joss orcid:0000-0003-4864-5986 and Way, Andy orcid:0000-0001-5736-5930 (2017) Integrating machine translation into MOOCS. In: EDULEARN17, 3-5 July 2017, Barcelona, Spain. ISBN 978-84-697-3777-4 (2017)
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2
Translation dictation vs. post-editing with cloud-based voice recognition: a pilot experiment
In: Zapata, Julián, Castilho, Sheila orcid:0000-0002-8416-6555 and Moorkens, Joss orcid:0000-0003-0766-0071 (2017) Translation dictation vs. post-editing with cloud-based voice recognition: a pilot experiment. In: MT Summit XVI, 18-22 Sept 2017, At Nagoya, Japan. (2017)
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3
Acceptability of machine-translated content: a multi-language evaluation by translators and end-users
In: Castilho, Sheila orcid:0000-0002-8416-6555 and O'Brien, Sharon orcid:0000-0003-4864-5986 (2017) Acceptability of machine-translated content: a multi-language evaluation by translators and end-users. Linguistica Antverpiensia, New Series: Themes in Translation Studies, 16 . pp. 120-136. ISSN 2295-5739 (2017)
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4
A comparative quality evaluation of PBSMT and NMT using professional translators
In: Castilho, Sheila orcid:0000-0002-8416-6555 , Moorkens, Joss, Gaspari, Federico, Sennrich, Rico, Sosoni, Vilelmini, Georgakopoulou, Panayota, Lohar, Pintu, Way, Andy orcid:0000-0001-5736-5930 , Miceli Barone, Antonio Valerio and Gialama, Maria (2017) A comparative quality evaluation of PBSMT and NMT using professional translators. In: MT Summit XVI, 18-22 Sept 2017, Nagoya, Japan. (2017)
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5
Is neural machine translation the new state of the art?
In: Castilho, Sheila orcid:0000-0002-8416-6555 , Moorkens, Joss orcid:0000-0003-0766-0071 , Gaspari, Federico orcid:0000-0003-3808-8418 , Calixto, Iacer, Tinsley, John and Way, Andy orcid:0000-0001-5736-5930 (2017) Is neural machine translation the new state of the art? The Prague Bulletin of Mathematical Linguistics (108). ISSN 0032-6585 (2017)
Abstract: This paper discusses neural machine translation (NMT), a new paradigm in the MT field, comparing the quality of NMT systems with statistical MT by describing three studies using automatic and human evaluation methods. Automatic evaluation results presented for NMT are very promising, however human evaluations show mixed results. We report increases in fluency but inconsistent results for adequacy and post-editing effort. NMT undoubtedly represents a step forward for the MT field, but one that the community should be careful not to oversell.
Keyword: Machine translating
URL: http://doras.dcu.ie/23072/
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6
Using images to improve machine-translating E-commerce product listings
In: Calixto, Iacer, Stein, Daniel, Matusov, Evgeny, Lohar, Pintu, Castilho, Sheila orcid:0000-0002-8416-6555 and Way, Andy orcid:0000-0001-5736-5930 (2017) Using images to improve machine-translating E-commerce product listings. In: 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), 3-7 April 2017, Valencia, Spain. ISBN 978-1-945626-35-7 (2017)
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7
Human evaluation of multi-modal neural machine translation: a case study on E-commerce listing titles
In: Calixto, Iacer, Stein, Daniel, Matusov, Evgeny, Castilho, Sheila orcid:0000-0002-8416-6555 and Way, Andy orcid:0000-0001-5736-5930 (2017) Human evaluation of multi-modal neural machine translation: a case study on E-commerce listing titles. In: Sixth Workshop on Vision and Language, VL@EACL, 3-7 April 2017, Valencia, Spain. ISBN 978-1-945626-51-7 (2017)
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8
Is Neural Machine Translation the New State of the Art?
In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 109-120 (2017) (2017)
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