Estimators for Stochastic ``Unification-Based'' Grammars
<|reference_start|>Estimators for Stochastic ``Unification-Based'' Grammars: 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.<|reference_end|>
@article{johnson2000estimators,
    title={Estimators for Stochastic ``Unification-Based'' Grammars},
    author={Mark Johnson, Stuart Geman, Stephen Canon, Zhiyi Chi and Stefan
  Riezler},
    journal={Proc 37th Annual Conference of the Association for Computational
  Linguistics, 1999, pages 535-541},
    year={2000},
    archivePrefix={arXiv},
    eprint={cs/0008028},
    primaryClass={cs.CL}
}