Paper: Estimators For Stochastic Unification-Based Grammars

ACL ID P99-1069
Title Estimators For Stochastic Unification-Based Grammars
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

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 train- ing corpus of syntactic analyses, and apply these to estimate a stochastic version of Lexical- Functional Grammar.