Fast Parsing using Pruning and Grammar Specialization

dc.creatorRayner, Manny
dc.creatorCarter, David
dc.date1996-04-26
dc.date.accessioned2026-07-07T09:10:12Z
dc.date.available2026-07-07T09:10:12Z
dc.descriptionWe show how a general grammar may be automatically adapted for fast parsing of utterances from a specific domain by means of constituent pruning and grammar specialization based on explanation-based learning. These methods together give an order of magnitude increase in speed, and the coverage loss entailed by grammar specialization is reduced to approximately half that reported in previous work. Experiments described here suggest that the loss of coverage has been reduced to the point where it no longer causes significant performance degradation in the context of a real application.
dc.description8 pages LaTeX, ACL-96, needs aclap.sty; see also http://www.cam.sri.com/
dc.identifierhttps://arxiv.org/abs/cmp-lg/9604017
dc.identifierhttp://arxiv.org/abs/cmp-lg/9604017
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151283
dc.subjectComputation and Language
dc.titleFast Parsing using Pruning and Grammar Specialization
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