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Title: Bootstrapping a statistical speech translator from a rule-based one
Author: Rayner, Manny
Estrella, Paula
Bouillon, Pierrette
Others: International Workshop on Free/Open-Source Rule-Based Machine Translation (2nd : 2011 : Barcelona)
Keywords: Statistical
Issue Date: 20-Jan-2011
Publisher: Universitat Oberta de Catalunya
Citation: Rayner, Manny; Estrella, Paula; Bouillon, Pierrette (2011, January). "Bootstrapping A Statistical Speech Translator From A Rule-Based One". Proceedings of the Second International Workshop on Free/Open-Source Rule-Based Machine Translation (2011: Barcelona). <>
Abstract: We describe a series of experiments in which we start with English to French and English to Japanese versions of an Open Source rule-based speech translation system for a medical domain, and bootstrap correspondign statistical systems. Comparative evaluation reveals that the rule-based systems are still significantly better than the statistical ones, despite the fact that considerable effort has been invested in tuning both the recognition and translation components; also, a hybrid system only marginally improved recall at the cost of a los in precision. The result suggests that rule-based architectures may still be preferable to statistical ones for safety-critical speech translation tasks.
Language: English
ISBN: 978-84-693-9517-2
Appears in Collections:Second International Workshop on Free/Open-Source Rule-Based Machine Translation, (Barcelona, 20 January 2011)

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