Estimators for Stochastic ``Unification-Based'' Grammars
计算与语言
2007-05-23 v1
摘要
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.
引用
@article{arxiv.cs/0008028,
title = {Estimators for Stochastic ``Unification-Based'' Grammars},
author = {Mark Johnson and Stuart Geman and Stephen Canon and Zhiyi Chi and Stefan Riezler},
journal= {arXiv preprint arXiv:cs/0008028},
year = {2007}
}
备注
7 pages