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Bootstrapping a Statistical Speech Translator From a Rule-Based One

Estrella, Paula
Nakao, Yukie
Christian, Gwen
Published in Linguistic Issues in Language Technology. 2012, vol. 5, no. 3
Abstract We describe a series of experiments in which we start with English to French and English to Japanese versions of a rule-based speech translation system for a medical domain, and bootstrap corresponding statistical systems. Comparative evaluation reveals that the statistical systems are still slightly inferior to the rule-based ones, despite the fact that con- siderable effort has been invested in tuning both the recognition and translation components; however, a hybrid system is able to deliver a small but significant improvement in performance. In conclusion, we suggest that the hybrid architecture we describe potentially allows construction of limited-domain speech translation systems which combine substantial source-language coverage with high-precision translation.
Keywords TranslationSpeech technologySpoken language
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RAYNER, Emmanuel et al. Bootstrapping a Statistical Speech Translator From a Rule-Based One. In: Linguistic Issues in Language Technology, 2012, vol. 5, n° 3. https://archive-ouverte.unige.ch/unige:75402

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Deposited on : 2015-09-25

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