Proceedings chapter
Open access

A Robust Medical Speech-to-Speech/Speech-to-Sign Phraselator

Published inInterspeech
Publication date2017

We present BabelDr, a web-enabled spoken-input phraselator for medical domains, which has been developed at Geneva University in a collaboration between a human language technology group and a group at the University hospital. The current production version of the system translates French into Arabic, using exclusively rule-based methods, and has performed credibly in simulated triaging tests with standardised patients. We also present an experimental version which combines largevocabulary recognition with the main rule-based recogniser; offline tests on unseen data suggest that the new architecture adds robustness while more than halving the 2-best semantic error rate. The experimental version translates from spoken English into spoken French and also two sign languages.

Citation (ISO format)
AHMED, Farhia et al. A Robust Medical Speech-to-Speech/Speech-to-Sign Phraselator. In: Interspeech. [s.l.] : [s.n.], 2017.
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Proceedings chapter (Published version)
  • PID : unige:96955

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Creation09/15/2017 2:56:00 PM
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