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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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| 3 |
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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| 4 |
Google Assistant's Interpreter Mode: is it really an interpreter?
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| 5 |
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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| 6 |
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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| 7 |
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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| 8 |
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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| 9 |
La post-édition monolingue des textes de spécialité dans le domaine de la musique
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| 10 |
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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| 11 |
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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| 12 |
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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| 13 |
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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| 14 |
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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