Combining Knowledge Sources to Reorder N-Best Speech Hypothesis Lists

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dc.creatorRayner, Manny
dc.creatorCarter, David
dc.creatorDigalakis, Vassilios
dc.creatorPrice, Patti
dc.date1994-07-12
dc.date.accessioned2026-07-07T09:09:24Z
dc.date.available2026-07-07T09:09:24Z
dc.descriptionA simple and general method is described that can combine different knowledge sources to reorder N-best lists of hypotheses produced by a speech recognizer. The method is automatically trainable, acquiring information from both positive and negative examples. Experiments are described in which it was tested on a 1000-utterance sample of unseen ATIS data.
dc.description13 pages, Latex source. To appear in Proc. HLT '94
dc.identifierhttps://arxiv.org/abs/cmp-lg/9407010
dc.identifierhttp://arxiv.org/abs/cmp-lg/9407010
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151025
dc.subjectComputation and Language
dc.titleCombining Knowledge Sources to Reorder N-Best Speech Hypothesis Lists
dc.typetext

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