Stochastic HPSG
cmp-lg
2016-08-31 v1 Computation and Language
Abstract
In this paper we provide a probabilistic interpretation for typed feature structures very similar to those used by Pollard and Sag. We begin with a version of the interpretation which lacks a treatment of re-entrant feature structures, then provide an extended interpretation which allows them. We sketch algorithms allowing the numerical parameters of our probabilistic interpretations of HPSG to be estimated from corpora.
Cite
@article{arxiv.cmp-lg/9502022,
title = {Stochastic HPSG},
author = {Chris Brew},
journal= {arXiv preprint arXiv:cmp-lg/9502022},
year = {2016}
}
Comments
7 pages, eaclap, Proceedings of EACL-95