Estimators for stochastic "Unification-Based" grammars

  • Authors:
  • Mark Johnson;Stuart Geman;Stephen Canon;Zhiyi Chi;Stefan Riezler

  • Affiliations:
  • Brown University;Brown University;Brown University;The University of Chicago;Universität Stuttgart

  • Venue:
  • ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
  • Year:
  • 1999

Quantified Score

Hi-index 0.00

Visualization

Abstract

Log-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.