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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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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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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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Hansen-Schirra, Silvia; Czulo, Oliver; Hofmann, Sascha; Troqe, Rovena; Marchan, Francis; Rossetti, Alessandra; Gaspari, Federico; Quinci, Carla; Oster, Katharina; Kloster, Iryna; Hietaranta, Pertti; Gieshoff, Anne Catherine; Bodzer, Anca; Lázaro Gutiérrez, Ráquel; Baraldi, Claudio; Gavioli, Laura; Bisiada, Mario; Schaeffer, Moritz J.; Carl, Michael; Lourenço da Silva, Igor A.; Pagano, Adriana Silvina; Sturm, Annegret; Couto-Vale, Daniel; Serbina, Tatiana; Hintzen, Sven; Niemietz, Paula; Neumann, Stella; Nitzke, Jean. - : Language Science Press, 2017
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In: Language Science Press; (2017)
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Abstract:
Empirical research is carried out in a cyclic way: approaching a research area bottom-up, data lead to interpretations and ideally to the abstraction of laws, on the basis of which a theory can be derived. Deductive research is based on a theory, on the basis of which hypotheses can be formulated and tested against the background of empirical data. Looking at the state-of-the-art in translation studies, either theories as well as models are designed or empirical data are collected and interpreted. However, the final step is still lacking: so far, empirical data has not lead to the formulation of theories or models, whereas existing theories and models have not yet been comprehensively tested with empirical methods. This publication addresses these issues from several perspectives: multi-method product- as well as process-based research may gain insights into translation as well as interpreting phenomena. These phenomena may include cognitive and organizational processes, procedures and strategies, competence and performance, translation properties and universals, etc. Empirical findings about the deeper structures of translation and interpreting will reduce the gap between translation and interpreting practice and model and theory building. Furthermore, the availability of more large-scale empirical testing triggers the development of models and theories concerning translation and interpreting phenomena and behavior based on quantifiable, replicable and transparent data.
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URL: https://langsci-press.org/catalog/book/132
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Empirical modelling of translation and interpreting
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In: Language Science Press; (2017)
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