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Rapid development of competitive translation engines for access to multilingual COVID-19 information
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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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Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation ...
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What level of quality can neural machine translation attain on literary text?
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In: Toral, Antonio orcid:0000-0003-2357-2960 and Way, Andy orcid:0000-0001-5736-5930 (2018) What level of quality can neural machine translation attain on literary text? In: Moorkens, Joss orcid:0000-0003-4864-5986 , Castilho, Sheila orcid:0000-0002-8416-6555 , Gaspari, Federico orcid:0000-0003-3808-8418 and Doherty, S, (eds.) Translation Quality Assessment: From Principles to Practice. Machine Translation: Technologies and Applications book series (MATRA), 1 . Springer, Berlin/Heidelberg, 263 -287. ISBN 978-3-319-91240-0 (2018)
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Improving machine translation of educational content via crowdsourcing
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Behnke, Maximiliana; Miceli Barone, Antonio Valerio; Sennrich, Rico; Sosoni, Vilelmini; Naskos, Thanasis; Takoulidou, Eirini; Stasimioti, Maria; Menno, van Zaanen; Castilho, Sheila; Gaspari, Federico; Georgakopoulou, Panayota; Kordoni, Valia; Egg, Markus; Kermanidis, Katia Lida
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In: Behnke, Maximiliana, Miceli Barone, Antonio Valerio, Sennrich, Rico, Sosoni, Vilelmini, Naskos, Thanasis, Takoulidou, Eirini, Stasimioti, Maria, Menno, van Zaanen, Castilho, Sheila orcid:0000-0002-8416-6555 , Gaspari, Federico orcid:0000-0003-3808-8418 , Georgakopoulou, Panayota orcid:0000-0001-9780-1813 , Kordoni, Valia, Egg, Markus and Kermanidis, Katia Lida orcid:0000-0002-3270-5078 (2018) Improving machine translation of educational content via crowdsourcing. In: LREC 2018 - 11th International Conference on Language Resources and Evaluation, Miyazaki, Japan. ISBN 979-10-95546-19-1 (2018)
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Abstract:
The limited availability of in-domain training data is a major issue in the training of application-specific neural machine translation models. Professional outsourcing of bilingual data collections is costly and often not feasible. In this paper we analyze the influence of using crowdsourcing as a scalable way to obtain translations of target in-domain data having in mind that the translations can be of a lower quality. We apply crowdsourcing with carefully designed quality controls to create parallel corpora for the educational domain by collecting translations of texts from MOOCs from English to eleven languages, which we then use to fine-tune neural machine translation models previously trained on general-domain data. The results from our research indicate that crowdsourced data collected with proper quality controls consistently yields performance gains over general-domain baseline systems, and systems fine-tuned with pre-existing in-domain corpora.
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Keyword:
crowdsourcing; Machine translating; MOOCs; neural machine translation
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URL: http://doras.dcu.ie/23201/
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Translation Quality, Quality Management and Agency: Principles and Practice in the European Union Institutions
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Integrating machine translation into MOOCS
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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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A comparative quality evaluation of PBSMT and NMT using professional translators
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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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Is neural machine translation the new state of the art?
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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)
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Empirical modelling of translation and interpreting
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In: Language Science Press; (2017)
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Empirical modelling of translation and interpreting
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In: Language Science Press; (2017)
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Empirical modelling of translation and interpreting
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In: Language Science Press; (2017)
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Empirical modelling of translation and interpreting
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In: Language Science Press; (2017)
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Empirical modelling of translation and interpreting
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In: Language Science Press; (2017)
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Empirical modelling of translation and interpreting
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In: Language Science Press; (2017)
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Empirical modelling of translation and interpreting
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In: Language Science Press; (2017)
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Empirical modelling of translation and interpreting
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In: Language Science Press; (2017)
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Empirical modelling of translation and interpreting
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In: Language Science Press; (2017)
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Empirical modelling of translation and interpreting
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In: Language Science Press; (2017)
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