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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.

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AuthorshipTopic signalTopic signalWStochastic HPSGpreprint / 1995AChris BrewResearcherTComputation and Language14115 worksTcmp-lg20 works
PaperSignal 103 links

Stochastic HPSG

preprint / 1995

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