Robust stochastic parsing using the inside-outside algorithm

dc.creatorBriscoe
dc.creatorTed
dc.creatorWaegner
dc.creatorNick
dc.date1994-12-19
dc.date.accessioned2026-07-07T09:09:41Z
dc.date.available2026-07-07T09:09:41Z
dc.descriptionThe paper describes a parser of sequences of (English) part-of-speech labels which utilises a probabilistic grammar trained using the inside-outside algorithm. The initial (meta)grammar is defined by a linguist and further rules compatible with metagrammatical constraints are automatically generated. During training, rules with very low probability are rejected yielding a wide-coverage parser capable of ranking alternative analyses. A series of corpus-based experiments describe the parser's performance.
dc.descriptionRevised and updated version of paper from AAAI Workshop on Probabilistically-based Natural Language Processing Techniques, 1992, 16 pages, uuencoded, compressed postscript
dc.identifierhttps://arxiv.org/abs/cmp-lg/9412006
dc.identifierhttp://arxiv.org/abs/cmp-lg/9412006
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151125
dc.subjectComputation and Language
dc.titleRobust stochastic parsing using the inside-outside algorithm
dc.typetext

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