Tagset Reduction Without Information Loss

dc.creatorBrants, Thorsten
dc.date1995-05-03
dc.date.accessioned2026-07-07T09:09:48Z
dc.date.available2026-07-07T09:09:48Z
dc.descriptionA technique for reducing a tagset used for n-gram part-of-speech disambiguation is introduced and evaluated in an experiment. The technique ensures that all information that is provided by the original tagset can be restored from the reduced one. This is crucial, since we are interested in the linguistically motivated tags for part-of-speech disambiguation. The reduced tagset needs fewer parameters for its statistical model and allows more accurate parameter estimation. Additionally, there is a slight but not significant improvement of tagging accuracy.
dc.description3 pages, LaTeX, to appear in proceedings of ACL-95, student session
dc.identifierhttps://arxiv.org/abs/cmp-lg/9505010
dc.identifierhttp://arxiv.org/abs/cmp-lg/9505010
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151170
dc.subjectComputation and Language
dc.titleTagset Reduction Without Information Loss
dc.typetext

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