Developing and Evaluating a Probabilistic LR Parser of Part-of-Speech and Punctuation Labels

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dc.creatorBriscoe, Ted
dc.creatorCarroll, John
dc.date1995-10-09
dc.date.accessioned2026-07-07T09:10:02Z
dc.date.available2026-07-07T09:10:02Z
dc.descriptionWe describe an approach to robust domain-independent syntactic parsing of unrestricted naturally-occurring (English) input. The technique involves parsing sequences of part-of-speech and punctuation labels using a unification-based grammar coupled with a probabilistic LR parser. We describe the coverage of several corpora using this grammar and report the results of a parsing experiment using probabilities derived from bracketed training data. We report the first substantial experiments to assess the contribution of punctuation to deriving an accurate syntactic analysis, by parsing identical texts both with and without naturally-occurring punctuation marks.
dc.description11 pages, standard LaTeX
dc.identifierhttps://arxiv.org/abs/cmp-lg/9510005
dc.identifierhttp://arxiv.org/abs/cmp-lg/9510005
dc.identifier4th International Workshop on Parsing Technologies (IWPT-95), 48-58
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151242
dc.subjectComputation and Language
dc.titleDeveloping and Evaluating a Probabilistic LR Parser of Part-of-Speech and Punctuation Labels
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