Approximating Context-Free Grammars with a Finite-State Calculus

dc.creatorGrimley-Evans, Edmund
dc.date1997-11-11
dc.date.accessioned2026-07-07T02:36:07Z
dc.date.available2026-07-07T02:36:07Z
dc.descriptionAlthough adequate models of human language for syntactic analysis and semantic interpretation are of at least context-free complexity, for applications such as speech processing in which speed is important finite-state models are often preferred. These requirements may be reconciled by using the more complex grammar to automatically derive a finite-state approximation which can then be used as a filter to guide speech recognition or to reject many hypotheses at an early stage of processing. A method is presented here for calculating such finite-state approximations from context-free grammars. It is essentially different from the algorithm introduced by Pereira and Wright (1991; 1996), is faster in some cases, and has the advantage of being open-ended and adaptable.
dc.description8 pages, LaTeX, 2 PostScript figures, aclap.sty
dc.identifierhttps://arxiv.org/abs/cmp-lg/9711002
dc.identifierhttp://arxiv.org/abs/cmp-lg/9711002
dc.identifierProceedings of ACL-EACL 97, Madrid, pp 452-459, 1997.
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/15800
dc.subjectComputation and Language
dc.titleApproximating Context-Free Grammars with a Finite-State Calculus
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