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Title

Monolingual backtranslation in a medical speech translation system for diagnostic interviews - a NMT approach

Authors
Estrella, Paula
Published in European Association for Machine Translation. Proceedings of Machine Translation Summit XVII Volume 2: Translator, Project and User Tracks. Dublin, Ireland - 2019 - . 2019, p. 169-203
Abstract BabelDr is a medical speech to speech translator, where the doctor has to approve the sentence that will be translated for the patient before translation; this step is done using monolingual backtranslation, which converts the speech recognition result into a core sentence. In this work, we model this step as a simplification task and pro-pose to use neural networks to perform the backtranslation by generating and choosing the best core sentence. Results of a task-based evaluation show that neural net-works outperform previous versions of the system.
Keywords BacktranslationSpeech to speech translationMedical interviewsNMTSimplification
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MUTAL, Jonathan David et al. Monolingual backtranslation in a medical speech translation system for diagnostic interviews - a NMT approach. In: European Association for Machine Translation (Ed.). Proceedings of Machine Translation Summit XVII Volume 2: Translator, Project and User Tracks. Dublin, Ireland. [s.l.] : [s.n.], 2019. p. 169-203. https://archive-ouverte.unige.ch/unige:123138

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Deposited on : 2019-09-14

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