Towards an Improved Performance Measure for Language Models

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dc.creatorUeberla, Joerg P.
dc.date1997-11-19
dc.date.accessioned2026-07-07T02:36:08Z
dc.date.available2026-07-07T02:36:08Z
dc.descriptionIn this paper a first attempt at deriving an improved performance measure for language models, the probability ratio measure (PRM) is described. In a proof of concept experiment, it is shown that PRM correlates better with recognition accuracy and can lead to better recognition results when used as the optimisation criterion of a clustering algorithm. Inspite of the approximations and limitations of this preliminary work, the results are very encouraging and should justify more work along the same lines.
dc.identifierhttps://arxiv.org/abs/cmp-lg/9711009
dc.identifierhttp://arxiv.org/abs/cmp-lg/9711009
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/15807
dc.subjectComputation and Language
dc.titleTowards an Improved Performance Measure for Language Models
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