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arxiv: cmp-lg/9502022 · v1 · pith:WA5NLAIAnew · submitted 1995-02-17 · cmp-lg · cs.CL

Stochastic HPSG

classification cmp-lg cs.CL
keywords interpretationfeaturehpsgprobabilisticstructuresalgorithmsallowingallows
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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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