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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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Machine Translation and Gender biases in video game localisation: a corpus-based analysis
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In: https://hal.archives-ouvertes.fr/hal-03540605 ; 2022 (2022)
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Abstract:
The video game industry has been a historically gender-biased terrain due to a higher number of male protagonists and hypersexualised representations [Dietz, 1998; Downs & Smith, 2010; Lynch et al., 2016]. Nowadays, echoing the debate on inclusive language, companies attempt to erase gender disparity by introducing main female characters as well as non-binary characters. From a technological point of view, even though recent studies show that Machine Translation remains largely unadopted by individual video game localisers [Rivas Ginel, 2021], multilanguage vendors are willing to invest in these tools to reduce costs [LIND, 2020]. However, the predominance of the masculine in Natural Language Processing and Machine Learning has created allocation and representation biases in Neural Machine Translation [Crawford, 2017].This paper aims to analyse the percentage of gender bias resulting from the use of Google Translate, DeepL, and SmartCat when translating in-game raw content from English into French. The games DeltaRune, The Devil's Womb and The Faces of the Forest were chosen due to the presence of non-binary characters, non-sexualized characters, and female protagonists. We compared the results in order to recount and analyse the differences between these tools' output when in terms of errors related to gender. To this end, we created a parallel corpus to compare source documents and all the translations to visualise the semantic and grammatical directions of the words embeddings [Zhou; Shi; Zhao and al, 2019] and extracted the collocations and concordance lines that represented gender identity by analysing the patterns in the source language.
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Keyword:
[SHS.LANGUE]Humanities and Social Sciences/Linguistics; corpora; Gender biases; Machine Translation; Neural Machine Translation NMT; Video game Localisation
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URL: https://hal.archives-ouvertes.fr/hal-03540605/file/Machine%20Translation%20and%20Gender%20biases%20in%20video%20game%20localisation%20%281%29.pdf
https://hal.archives-ouvertes.fr/hal-03540605
https://hal.archives-ouvertes.fr/hal-03540605/document
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Multi-domain Neural Machine Translation ; Traduction automatique neuronale multidomaine
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In: https://tel.archives-ouvertes.fr/tel-03546910 ; Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPASG109⟩ (2021)
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A Transformer-Based Neural Machine Translation Model for Arabic Dialects That Utilizes Subword Units
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In: Sensors ; Volume 21 ; Issue 19 (2021)
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A Reception Study of Machine-Translated Easy Language Text by Individuals with Reading Difficulties
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In: 3rd International Conference on Translation, Interpreting and Cognition (ICTIC3) (2021) (2021)
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Cadlaws - An Enlgish-French parallel corpus of legally equivalent documents
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Cadlaws – An English–French Parallel Corpus of Legally Equivalent Documents
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In: Mutatis Mutandis: Revista Latinoamericana de Traducción, ISSN 2011-799X, Vol. 14, Nº. 2, 2021 (Ejemplar dedicado a: Nuevas perspectivas de investigación en la traducción especializada en lenguas románicas: aspectos comparativos, léxicos, fraseológicos, discursivos y didácticos), pags. 494-508 (2021)
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Machine Translation for the Normalisation of 17th c. French ; Traduction automatique pour la normalisation du français du XVII e siècle
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In: TALN 2020 ; https://hal.archives-ouvertes.fr/hal-02596669 ; TALN 2020, ATALA, Jun 2020, Nancy, France (2020)
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Bridging the “gApp”: improving neural machine translation systems for multiword expression detection
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In: 11 ; 1 ; 61 ; 80 (2020)
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| 11 |
Neural MT and Human Post-editing: a Method to Improve Editorial Quality
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In: Symposium Translation and Knowledge Transfer: News trends in the theory and practice of translation and interpreting ; https://hal.univ-rennes2.fr/hal-02495919 ; Symposium Translation and Knowledge Transfer: News trends in the theory and practice of translation and interpreting, Mar Ogea-Pozo, Carmen Expósito-Castro, Oct 2019, Cordoue, Spain (2019)
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Measuring the Impact of Neural Machine Translation on Easy-to-Read Texts: An Exploratory Study
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In: Conference on Easy-to-Read Language Research (Klaara 2019) (2019) (2019)
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Preferences of end-users for raw and post-edited NMT in a business environment
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In: ISBN: 978-2970-10957-0 ; Proceedings of the 41st Conference Translating and the Computer pp. 47-59 (2019)
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