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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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Abstract:
From both human translators (HT) and machine translation (MT) researchers' point of view, translation quality evaluation (TQE) is an essential task. This is especially the case, when language service providers (LSPs) face huge amount of request frequently from their clients and users to acquire high-quality translations. While automatic translation quality assessment (TQA) metrics and quality estimation (QE) tools are widely available and easy to access, human assessment from professional translators (HAP) are often chosen as the golden standard \cite{han-etal-2021-TQA}. One challenge that comes to this point is this: \textit{to avoid the overall text quality checking from both cost and efficiency perspectives, how to choose the confidence sample size of the translated text, so as to properly estimate the overall text or document translation quality}? This work carries out such an motivated research to correctly estimate the confidence intervals \cite{Brown_etal2001Interval} regarding the sample size of translated text, e.g. the amount of words or sentences, that needs to be taken into account for confident evaluation of overall translation quality. The methodology we applied for this work is from Bernoulli Statistical Distribution Modelling (BSDM) and Monte Carlo Sampling Analysis (MCSA).
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Keyword:
Algorithms; Artificial intelligence; Computational linguistics; Computer software; Information technology; Post-editing Distance; Confidence Intervals; Monte Carlo Modeling; Bernoulli Statistics; Probabilities; Quality Estimation; Statistics; Stochastic analysis; Translation Quality Evaluation
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URL: http://doras.dcu.ie/26281/
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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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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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