Bunsetsu Identification Using Category-Exclusive Rules

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dc.creatorMurata, Masaki
dc.creatorUchimoto, Kiyotaka
dc.creatorMa, Qing
dc.creatorIsahara, Hitoshi
dc.date2000-08-28
dc.date.accessioned2026-07-07T03:16:31Z
dc.date.available2026-07-07T03:16:31Z
dc.descriptionThis paper describes two new bunsetsu identification methods using supervised learning. Since Japanese syntactic analysis is usually done after bunsetsu identification, bunsetsu identification is important for analyzing Japanese sentences. In experiments comparing the four previously available machine-learning methods (decision tree, maximum-entropy method, example-based approach and decision list) and two new methods using category-exclusive rules, the new method using the category-exclusive rules with the highest similarity performed best.
dc.description7 pages. Computation and Language
dc.identifierhttps://arxiv.org/abs/cs/0008031
dc.identifierhttp://arxiv.org/abs/cs/0008031
dc.identifierCOLING'2000, Saarbrucken, Germany, August, 2000
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30379
dc.subjectComputation and Language
dc.subjectI.2.7
dc.titleBunsetsu Identification Using Category-Exclusive Rules
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