Part-of-Speech Tagging with Neural Networks

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dc.creatorSchmid, Helmut
dc.date1994-10-24
dc.date.accessioned2026-07-07T09:09:35Z
dc.date.available2026-07-07T09:09:35Z
dc.descriptionText corpora which are tagged with part-of-speech information are useful in many areas of linguistic research. In this paper, a new part-of-speech tagging method based on neural networks (Net- Tagger) is presented and its performance is compared to that of a HMM-tagger and a trigram-based tagger. It is shown that the Net- Tagger performs as well as the trigram-based tagger and better than the HMM-tagger.
dc.description5 pages
dc.identifierhttps://arxiv.org/abs/cmp-lg/9410018
dc.identifierhttp://arxiv.org/abs/cmp-lg/9410018
dc.identifierColing-94, 172-176
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151084
dc.subjectComputation and Language
dc.titlePart-of-Speech Tagging with Neural Networks
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