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Hidden markov model and maximum entropy Markov model: A comparison in POS tagging with the AnCora corpus

[Cadenas Ocultas de Markov y modelo de mArkov de máxima entropía: Una comparación en POS tagging con el corpus AnCora]

dc.rights.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.contributor.authorCujar R.
dc.contributor.authorHernández G.
dc.date.accessioned2024-12-02T20:15:49Z
dc.date.available2024-12-02T20:15:49Z
dc.date.issued2019
dc.identifier.issn16469895
dc.identifier.urihttps://hdl.handle.net/20.500.14112/28969
dc.description.abstractPOS This paper presents the comparison between Hidden Markov Model - HMM and Maximum Entropy Markov Model - MEMM, in the POS Tagging, for the spanish language, with the AnCora linguistic corpus. The study is quantitative and descriptive. HMM achieves an accuracy of 99%. MEMM achieves an accuracy in the labeling of 98.04%, taking into account that for this model, it used features on the observations. © 2019, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.
dc.format9
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.publisherAssociacao Iberica de Sistemas e Tecnologias de Informacao
dc.rights.uriAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.sourceRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
dc.sourceRev. Iberica Sist. Tecnol. Inf.
dc.sourceScopus
dc.titleHidden markov model and maximum entropy Markov model: A comparison in POS tagging with the AnCora corpus
dc.title[Cadenas Ocultas de Markov y modelo de mArkov de máxima entropía: Una comparación en POS tagging con el corpus AnCora]
datacite.contributorUniversidad Mariana, San Juan de Pasto, 520002, Colombia
datacite.contributorCujar R., Universidad Mariana, San Juan de Pasto, 520002, Colombia
datacite.contributorHernández G., Universidad Mariana, San Juan de Pasto, 520002, Colombia
datacite.rightshttp://purl.org/coar/access_right/c_abf2
oaire.resourcetypehttp://purl.org/coar/resource_type/c_6501
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.identifier.instnameUniversidad Mariana
dc.identifier.reponameRepositorio Clara de Asis
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85069188627&partnerID=40&md5=f2e0f18b6821468a79e1e42577a627df
dc.relation.citationendpage552
dc.relation.citationstartpage543
dc.relation.citationvolume2019
dc.relation.iscitedby0
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsAnCora
dc.subject.keywordsHidden Markov Model
dc.subject.keywordsHMM
dc.subject.keywordsLinguistic Corpus
dc.subject.keywordsMaximum Entropy Markov Model
dc.subject.keywordsMEMM
dc.subject.keywordsNatural Language Processing
dc.subject.keywordsPart of Speech Tagging
dc.type.driverinfo:eu-repo/semantics/article
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersion
dc.type.redcolhttp://purl.org/redcol/resource_type/ART
dc.type.spaArtículo científico
dc.relation.citationissue19


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