Practical experiments with regular approximation of context-free languages

dc.creatorNederhof, Mark-Jan
dc.date1999-10-25
dc.date.accessioned2026-07-07T03:24:26Z
dc.date.available2026-07-07T03:24:26Z
dc.descriptionSeveral methods are discussed that construct a finite automaton given a context-free grammar, including both methods that lead to subsets and those that lead to supersets of the original context-free language. Some of these methods of regular approximation are new, and some others are presented here in a more refined form with respect to existing literature. Practical experiments with the different methods of regular approximation are performed for spoken-language input: hypotheses from a speech recognizer are filtered through a finite automaton.
dc.description28 pages. To appear in Computational Linguistics 26(1), March 2000
dc.identifierhttps://arxiv.org/abs/cs/9910022
dc.identifierhttp://arxiv.org/abs/cs/9910022
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/33321
dc.subjectComputation and Language
dc.subjectF.4.3; F.1.1
dc.titlePractical experiments with regular approximation of context-free languages
dc.typetext

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