Hervé Spechbach


2020

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Ellipsis Translation for a Medical Speech to Speech Translation System
Jonathan Mutal | Johanna Gerlach | Pierrette Bouillon | Hervé Spechbach
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation

In diagnostic interviews, elliptical utterances allow doctors to question patients in a more efficient and economical way. However, literal translation of such incomplete utterances is rarely possible without affecting communication. Previous studies have focused on automatic ellipsis detection and resolution, but only few specifically address the problem of automatic translation of ellipsis. In this work, we evaluate four different approaches to translate ellipsis in medical dialogues in the context of the speech to speech translation system BabelDr. We also investigate the impact of training data, using an under-sampling method and data with elliptical utterances in context. Results show that the best model is able to translate 88% of elliptical utterances.

2019

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Monolingual backtranslation in a medical speech translation system for diagnostic interviews - a NMT approach
Jonathan Mutal | Pierrette Bouillon | Johanna Gerlach | Paula Estrella | Hervé Spechbach
Proceedings of Machine Translation Summit XVII Volume 2: Translator, Project and User Tracks

2016

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BabelDr: a web platform for rapid construction of phrasebook-style medical speech translation applications
Pierrette Bouillon | Hervé Spechbach
Proceedings of the 19th Annual Conference of the European Association for Machine Translation: Projects/Products