Estimators for Stochastic ``Unification-Based'' Grammars

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dc.creatorJohnson, Mark
dc.creatorGeman, Stuart
dc.creatorCanon, Stephen
dc.creatorChi, Zhiyi
dc.creatorRiezler, Stefan
dc.date2000-08-25
dc.date.accessioned2026-07-07T03:16:30Z
dc.date.available2026-07-07T03:16:30Z
dc.descriptionLog-linear models provide a statistically sound framework for Stochastic ``Unification-Based'' Grammars (SUBGs) and stochastic versions of other kinds of grammars. We describe two computationally-tractable ways of estimating the parameters of such grammars from a training corpus of syntactic analyses, and apply these to estimate a stochastic version of Lexical-Functional Grammar.
dc.description7 pages
dc.identifierhttps://arxiv.org/abs/cs/0008028
dc.identifierhttp://arxiv.org/abs/cs/0008028
dc.identifierProc 37th Annual Conference of the Association for Computational Linguistics, 1999, pages 535-541
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30376
dc.subjectComputation and Language
dc.subjectI.2.7
dc.titleEstimators for Stochastic ``Unification-Based'' Grammars
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