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Source or target first? Comparison of two post-editing strategies with translation students
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In: https://hal.archives-ouvertes.fr/hal-03546151 ; 2022 (2022)
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Neural MT and Human Post-editing : a Method to Improve Editorial Quality
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In: ISSN: 1134-8941 ; Interlingüística ; https://halshs.archives-ouvertes.fr/halshs-03603590 ; Interlingüística, Alacant [Spain] : Universitat Autònoma de Barcelona, 2022, pp.15-36 (2022)
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The use of MT by undergraduate translation students for different learning tasks
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In: https://hal.archives-ouvertes.fr/hal-03547415 ; 2022 (2022)
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Monte Carlo modelling of confidence intervals in translation quality evaluation (TQE) and post-editing dstance (PED) measurement
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In: Alekseeva, Alexandra orcid:0000-0002-7990-4592 , Gladkoff, Serge, Sorokina, Irina and Han, Lifeng orcid:0000-0002-3221-2185 (2021) Monte Carlo modelling of confidence intervals in translation quality evaluation (TQE) and post-editing dstance (PED) measurement. In: Metrics 2021: Workshop on Informetric and Scientometric Research (SIG-MET), 23-24 Oct 2021, Online. (2021)
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The Role of Machine Translation Quality Estimation in the Post-Editing Workflow
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In: Informatics ; Volume 8 ; Issue 3 (2021)
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ポストエディットと持続可能な翻訳の未来 ; Post-editing and a Sustainable Future for Translators
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Human evaluation of three machine translation systems : from quality to attitudes by professional translators
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Post-editing Machine Translation in MateCat: a classroom experiment
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Herget, Katrin. - : Editorial Universitat Politècnica de València, 2021
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A reception study of machine translated subtitles for MOOCs
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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
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In: Hu, Ke (2020) A reception study of machine translated subtitles for MOOCs. PhD thesis, Dublin City University. (2020)
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A human evaluation of English-Irish statistical and neural machine translation
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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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No more rage against the machine: how the corpus-based identification of machine-translationese can lead to student empowerment
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In: ISSN: 1740-357X ; The Journal of specialised translation (JoSTrans) ; https://halshs.archives-ouvertes.fr/halshs-02913980 ; The Journal of specialised translation (JoSTrans), 2020, 34, pp.150-170 ; https://www.jostrans.org/issue34/art_loock.php (2020)
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Αυτόματη μετάφραση μεταφορών και ιδιωτισμών από τα ιταλικά στα ελληνικά ...
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Quantifying the Effect of Machine Translation in a High-Quality Human Translation Production Process
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In: Informatics ; Volume 7 ; Issue 2 (2020)
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A tradução automática enquanto elemento precursor de mudança: experiência de estágio na SDL Portugal ; Machine translation as a precursory element of change: internship experience at SDL Portugal
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Machine translation systems and guidebooks: an approach to the importance of the role of the human translator
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In: Onomázein: Revista de lingüística, filología y traducción de la Pontificia Universidad Católica de Chile, ISSN 0717-1285, Nº. 7 (VII), 2020 (Ejemplar dedicado a: Discurso turístico, lenguas y traducción), pags. 63-82 (2020)
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Influencia de la posedición de traducción automática en lacalidad de los textos traducidos en la Dirección General de Traducción de la Comisión Europea
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In: LFE: Revista de lenguas para fines específicos, ISSN 1133-1127, Vol. 26, Nº 1, 2020 (Ejemplar dedicado a: Investigar en Traducción e Interpretación: Nuevos Enfoques y Perspectivas), pags. 26-38 (2020)
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Abstract:
The present article aims at presenting the results of the first pilot project we carried out in the framework of our Ph. D. research. In concrete terms, we will explain our provisional findings related to the study of the 51 first texts of a corpus constituted by texts translated from English into French in the European Commission’s Directorate-General for Translation (DGT). In these texts, we analysed segments which were post-edited by the volunteer translators taking part in our project. We studied the modifications introduced in the post-edited segments by French units’ revisers throughout the revision process. All modifications introduced by revisers in the post-edited segments were attributed a penalty score thanks to an evaluation tool issued by Toudic et al. (2014), so that we could compute an average penalty score for each text and translator. We also grouped all modifications by revisers in post-edited segments under several categories that we will briefly describe. Finally, we will draw provisional conclusions related to the influence of Machine Translation post-editing on the quality of the final texts provided by the translators participating in our project. ; En el presente artículo, se presentan los resultados del primer proyecto piloto que se llevó a cabo en el marco de la investigación doctoral del autor. Más concretamente, se expondrán las conclusiones provisionales que se han sacado a partir del estudio de los 51 primeros textos de un corpus constituido exclusivamente de textos traducidos de inglés a francés procedentes de la Dirección General de Traducción (DGT) de la Comisión Europea. En dichos textos, se analizan los segmentos poseditados por los traductores institucionales voluntarios del proyecto en términos de modificaciones llevadas a cabo por los revisores de los departamentos de lengua francesa de la DGT: a cada modificación se le atribuye una penalización usando una herramienta de evaluación elaborada por Toudic et al. (2014), para calcular una penalización media para cada texto y para cada traductor. También se estudia, en dichos segmentos poseditados, la repartición de las modificaciones de los revisores en distintas categorías que describiremos brevemente. Finalmente, se expondrán unas conclusiones provisionales con respecto a la influencia de la posedición sobre la calidad de los textos de los distintos traductores estudiados.
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Keyword:
Calidad; Comisión Europea; Corpus; DGT; European Commission; Posedición; Post-editing; Quality
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URL: https://dialnet.unirioja.es/servlet/oaiart?codigo=7608143
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| 17 |
Study on the Usefulness of Machine Translation in the Migratory Context: Analysis of Translators’ Perceptions
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In: Open Linguistics, Vol 6, Iss 1, Pp 68-76 (2020) (2020)
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| 18 |
A reception study of machine translated subtitles for MOOCs
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In: Hu, Ke, O'Brien, Sharon orcid:0000-0003-4864-5986 and Kenny, Dorothy orcid:0000-0002-4793-9256 (2019) A reception study of machine translated subtitles for MOOCs. Perspectives: Studies in Translatology, 28 (4). ISSN 1479-0726 (2019)
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More than tweets: a critical reflection on developing and testing crisis machine translation technology
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In: Cadwell, Patrick orcid:0000-0002-2371-4378 , O'Brien, Sharon orcid:0000-0003-4864-5986 and De Luca, Eric (2019) More than tweets: a critical reflection on developing and testing crisis machine translation technology. Translation Spaces, 8 (2). pp. 300-333. ISSN 2211-3711 (2019)
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Pre-editing and post-editing
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In: Guerberof Arenas, Ana orcid:0000-0001-9820-7074 (2019) Pre-editing and post-editing. In: Angelone, Erik, Ehrensberger-Dow, Maureen and Massey, Gary, (eds.) The Bloomsbury Companion to Language Industry Studies. Bloomsbury Companions . Bloomsbury Academic, United Kingdom. ISBN 9781350024939 (2019)
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