Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/2507
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.typeArtigo de periódicopt_BR
dc.titleCONTEXT TREE SELECTION AND LINGUISTIC RHYTHM RETRIEVAL FROM WRITTEN TEXTSpt_BR
dc.contributor.authorGalves, Antoniopt_BR
dc.contributor.authorGalves, Charlottept_BR
dc.contributor.authorGarcia, Jesus E.pt_BR
dc.contributor.authorGarcia, Nancy L.pt_BR
dc.contributor.authorLeonardi, Florenciapt_BR
unicamp.authorGalves, Charlottept_BR
unicamp.authorGarcia, Jesus E.pt_BR
unicamp.authorGarcia, Nancy L.pt_BR
unicamp.author.externalGalves, Antoniopt
unicamp.author.externalLeonardi, Florenciapt
dc.subjectVariable length Markov chainspt_BR
dc.subjectmodel selectionpt_BR
dc.subjectBICpt_BR
dc.subjectsmallest maximizer criterionpt_BR
dc.subjectlinguistic rhythmpt_BR
dc.subjectEuropean and Brazilian Portuguesept_BR
dc.subject.wosLENGTH MARKOV-CHAINSpt_BR
dc.subject.wosSTRESSpt_BR
dc.description.abstractThe starting point of this article is the question "How to retrieve fingerprints of rhythm in written texts?" We address this problem in the case of Brazilian and European Portuguese. These two dialects of Modern Portuguese share the same lexicon and most of the sentences they produce are superficially identical. Yet they are conjectured, on linguistic grounds, to implement different rhythms. We show that this linguistic question can be formulated as a problem of model selection in the class of variable length Markov chains. To carry on this approach, we compare texts from European and Brazilian Portuguese. These texts are previously encoded according to some basic rhythmic features of the sentences which can be automatically retrieved. This is an entirely new approach from the linguistic point of view. Our statistical contribution is the introduction of the smallest maximizer criterion which is a constant free procedure for model selection. As a by-product, this provides a solution for the problem of optimal choice of the penalty constant when using the BIC to select a variable length Markov chain. Besides proving the consistency of the smallest maximizer criterion when the sample size diverges, we also make a simulation study comparing our approach with both the standard BIC selection and the Peres-Shields order estimation. Applied to the linguistic sample constituted for our case study, the smallest maximizer criterion assigns different context-tree models to the two dialects of Portuguese. The features of the selected models are compatible with current conjectures discussed in the linguistic literature.pt
dc.relation.ispartofAnnals of Applied Statisticspt_BR
dc.publisher.cityClevelandpt_BR
dc.publisherInst Mathematical Statisticspt_BR
dc.date.issued2012pt_BR
dc.identifier.citationAnnals of Applied Statistics. Inst Mathematical Statistics, v.6, n.1, p.186-209, 2012pt_BR
dc.language.isoengpt_BR
dc.description.volume6pt_BR
dc.description.issuenumber1pt_BR
dc.description.firstpage186pt_BR
dc.description.lastpage209pt_BR
dc.rightsfechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn1932-6157pt_BR
dc.identifier.wosidWOS:000307716000008pt_BR
dc.identifier.doi10.1214/11-AOAS511pt_BR
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.description.sponsorshipUniversidade de São Paulo (USP)pt_BR
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorship1Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorship1Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.date.available2013-09-19T18:06:55Z-
dc.date.accessioned2013-09-19T18:06:55Z-
dc.description.provenanceMade available in DSpace on 2013-09-19T18:06:55Z (GMT). No. of bitstreams: 0 Previous issue date: 2012en
dc.identifier.urihttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/2507-
dc.contributor.departmentLinguística-
dc.contributor.unidadeIELpt
Appears in Collections:IEL - Artigos e Outros Documentos

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