Stochastic HPSG
<|reference_start|>Stochastic HPSG: 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.<|reference_end|>
@article{brew1995stochastic,
    title={Stochastic HPSG},
    author={Chris Brew (Human Communication Research Centre, Edinburgh University)},
    journal={arXiv preprint arXiv:cmp-lg/9502022},
    year={1995},
    archivePrefix={arXiv},
    eprint={cmp-lg/9502022},
    primaryClass={cmp-lg cs.CL}
}