Cluster Expansions and Iterative Scaling for Maximum Entropy Language Models

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dc.creatorLafferty, John D.
dc.creatorSuhm, Bernhard
dc.date1995-09-09
dc.date.accessioned2026-07-07T09:10:00Z
dc.date.available2026-07-07T09:10:00Z
dc.descriptionThe maximum entropy method has recently been successfully introduced to a variety of natural language applications. In each of these applications, however, the power of the maximum entropy method is achieved at the cost of a considerable increase in computational requirements. In this paper we present a technique, closely related to the classical cluster expansion from statistical mechanics, for reducing the computational demands necessary to calculate conditional maximum entropy language models.
dc.description8 pages, uuencoded and compressed postscript
dc.identifierhttps://arxiv.org/abs/cmp-lg/9509003
dc.identifierhttp://arxiv.org/abs/cmp-lg/9509003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151236
dc.subjectComputation and Language
dc.titleCluster Expansions and Iterative Scaling for Maximum Entropy Language Models
dc.typetext

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