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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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Are Easy Language Best Practices Applied in Educational Texts for Children in French?
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In: International Easy Language Day Conference (IELD) 2021 (2021) (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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Google Assistant's Interpreter Mode: is it really an interpreter?
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Evaluating the comprehension of Arasaac and Sclera pictographs for the BabelDr patient response interface
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In: Proceedings of the 3rd Swiss conference on barrier-free communication (BfC 2020) pp. 55-63 (2021)
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Linguistic and Ethical Considerations in Easy Language Machine Translation
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In: International Easy Language Day Conference (IELD) 2021 (2021) (2021)
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Experiments for the adaptation of Text2Picto to French
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In: 31st Meeting of Computational Linguistics in The Netherlands (CLIN 31) (2021) (2021)
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A speech translation system for medical dialogue in sign language — Questionnaire on user perspective of videos and the use of Avatar Technology
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In: Proceedings of the 3rd Swiss Conference on Barrier-free Communication (BfC 2020) pp. 46-54 (2021)
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La post-édition monolingue des textes de spécialité dans le domaine de la musique
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Vers une communication médicale adaptée aux personnes sourdes.Le projet BabelDr et les personnages virtuels en langue des signes française de Suisse romande
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In: TLH-Santé2021 (2021) (2021)
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A speech-enabled fixed-phrase translator for healthcare accessibility
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In: Proceedings of the 1st Workshop on NLP for Positive Impact (2021)
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Getting across in medical communication: A corpus-based approach to analyze and improve the comprehensibility of machine translation
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In: Proceedings of the 3rd Swiss conference on barrier-free communication (BfC 2020) pp. 39-45 (2021)
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Abstract:
In medical service contexts, especially in migrant- and refugee-receiving countries, the increasing need for inter-lingual communication and the higher cost of human translators has driven the development of machine translation technologies and tools. However, these tools' reliability and efficiency are questioned (Patil et al. 2014; Bouillon et al. 2017), which calls for objective evaluation to ensure and improve the quality of translation results. The present study aims to provide a data-driven empirical evaluation of the linguistic similarity of the French source speech data and their English translations produced by machine translation and identify the main areas in which MT output deviates from natural oral English. Using corpus statistical methods, the evaluation of machine translation outputs can provide concrete and objective feedback for future machine translation improvement. For future research, this model can be trained with larger datasets.
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Keyword:
418.0087: Barrierefreie Kommunikation; Accessible communication; Audio description; Easy-to-read; info:eu-repo/classification/ddc/410.2; Leichte Sprache; Live subtitling; Rrespeaking; Sign language; Web accessibility
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URL: https://archive-ouverte.unige.ch/unige:151997
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Predicting the Linguistic Accessibility of Chinese Health Translations: Machine Learning Algorithm Development
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In: ISSN: 2291-9694 ; JMIR medical informatics, Vol. 9, No 10 (2021) P. e30588 (2021)
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Predicting the Linguistic Accessibility of Chinese Health Translations: Machine Learning Algorithm Development
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In: JMIR Med Inform (2021)
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Language service provision in the 21st century: challenges, opportunities and educational perspectives for translation studies
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In: ISBN: 9788869234934 ; Bologna Process beyond 2020: Fundamental values of the EHEA pp. 297-303 (2020)
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Analyse de la simplification lexicale et syntaxique d'une pièce de théâtre surtitrée à l'intention des sourds et malentendants
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CALL-SLT and French as Foreign Language learning: Assessment in the field of asylum-seekers and refugees
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In: 5th International Conference on Second Language Studies P. 23 (2019)
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Differences between SMT and NMT Output - a Translators' Point of View
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In: The Second Workshop on Human-Informed Translation and Interpreting Technology (HiT-IT 2019) (2019)
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Surveying the potential of using speech technologies for post-editing purposes in the context of international organizations: What do professional translators think?
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In: Proceedings of Machine Translation Summit XVII. Volume 2: Translator, Project and User Tracks pp. 149-158 (2019)
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