Hybrid Transfer in an English-French Spoken Language Translator

dc.creatorRayner, Manny
dc.creatorBouillon, Pierrette
dc.date1995-05-26
dc.date.accessioned2026-07-07T09:09:53Z
dc.date.available2026-07-07T09:09:53Z
dc.descriptionThe paper argues the importance of high-quality translation for spoken language translation systems. It describes an architecture suitable for rapid development of high-quality limited-domain translation systems, which has been implemented within an advanced prototype English to French spoken language translator. The focus of the paper is the hybrid transfer model which combines unification-based rules and a set of trainable statistical preferences; roughly, rules encode domain-independent grammatical information and preferences encode domain-dependent distributional information. The preferences are trained from sets of examples produced by the system, which have been annotated by human judges as correct or incorrect. An experiment is described in which the model was tested on a 2000 utterance sample of previously unseen data.
dc.description7 pages, LaTeX (2.09 preferred); eaclap.sty; Procs of IA '95 (Montpellier, France)
dc.identifierhttps://arxiv.org/abs/cmp-lg/9505045
dc.identifierhttp://arxiv.org/abs/cmp-lg/9505045
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151198
dc.subjectComputation and Language
dc.titleHybrid Transfer in an English-French Spoken Language Translator
dc.typetext

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