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Classificação prosódica de marcadores discursivos

dc.contributor.authorCabarrão, Vera
dc.contributor.authorMoniz, Helena
dc.contributor.authorFerreira, Jaime
dc.contributor.authorBatista, Fernando
dc.contributor.authorTrancoso, Isabel
dc.contributor.authorMata, Ana Isabel
dc.contributor.authorCurto, Sérgio
dc.date.accessioned2018-01-27T10:56:33Z
dc.date.available2018-01-27T10:56:33Z
dc.date.issued2016
dc.description.abstractThis work describes the discourse markers present in two corpora for European Portuguese, in different domains (university lectures and map-task dialogues). In this study, we also perform a multiclass automatic classification task based on prosodic features to verify in both corpora which words are discourse markers, which are disfluencies, and which are sentence like-units (SUs). Results show that the selection of discourse markers varies across domain and between speakers. As for the classification task, results show that the discourse markers are better classified in the lectures corpus (87%) than in the dialogue corpus (84%). However, cross-domain experiments evidenced that data trained with the dialogue corpus predicts better the events in the lecture corpus, since this domain displays more speakers and therefore complex patterns. In both corpora, markers are more easily classified as SUs than as disfluencies.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCabarrão, V., Moniz, H., Ferreira, J., Batista, F., Trancoso, Mata, A. I. & Curto, S. (2016) "Classificação prosódica de marcadores discursivos", in Associação Portuguesa de Linguística, APL, Braga.pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/31069
dc.language.isoporpt_PT
dc.publisherAssociação Portuguesa de Linguísticapt_PT
dc.relationSFRH/PBD/95849/2013pt_PT
dc.relationESTRATÉGIAS DE FEEDBACK E DE ENTRAINMENT EM DIÁLOGO E SUA APLICAÇÃO EM SISTEMAS AUTOMÁTICOS
dc.relationSpoken Dialogue Analytics
dc.subjectMarcadores discursivospt_PT
dc.subjectProsódiapt_PT
dc.subjectProcessamento de falapt_PT
dc.subjectClassificação automática multiclassept_PT
dc.titleClassificação prosódica de marcadores discursivospt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleESTRATÉGIAS DE FEEDBACK E DE ENTRAINMENT EM DIÁLOGO E SUA APLICAÇÃO EM SISTEMAS AUTOMÁTICOS
oaire.awardTitleSpoken Dialogue Analytics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FLIN%2F00214%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCEC%2F50021%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F96492%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/611396/EU
oaire.citation.conferencePlaceBragapt_PT
oaire.citation.titleXXXI Encontro Nacional da Associação Portuguesa de Linguísticapt_PT
oaire.fundingStream5876
oaire.fundingStream5876
oaire.fundingStreamFP7
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication5b032e24-9bd9-47cd-b7da-2c0849fe148b
relation.isProjectOfPublication3b0c7d17-946b-4a7c-8f49-774a086a4ff4
relation.isProjectOfPublication5026fe16-c608-44a6-80c6-b84b00e261ea
relation.isProjectOfPublicationee518a2d-9f77-4b4c-a0af-46934dedeffb
relation.isProjectOfPublication.latestForDiscoveryee518a2d-9f77-4b4c-a0af-46934dedeffb

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