Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/345321
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampGarcia, Jesus Enriquept_BR
dc.contributor.authorunicampGonzález-López, Verónica Andreapt_BR
dc.typeArtigopt_BR
dc.titleLinguistic compositions highly volatile in portuguesept_BR
dc.contributor.authorGarcia, Jesus Enriquept_BR
dc.contributor.authorGholizadeh, Raminpt_BR
dc.contributor.authorGonzalez-Lopez, Veronica Andreapt_BR
dc.subjectTeoria bayesiana de decisão estatísticapt_BR
dc.subjectMarkovpt_BR
dc.subjectProcessos dept_BR
dc.subjectLinguagem – Estudo e ensino – Métodos estatísticospt_BR
dc.subjectBayesian statistical decision theorypt_BR
dc.subjectMarkov processespt_BR
dc.subjectLanguages - Study and teaching – Statistical methodspt_BR
dc.description.abstractIn this paper we use a distance d between sequences of N-grams to identify N-grams that show a different performance when comparing two sequences of N-grams. With this tool, we inspect written texts of European Portuguese dated between 16th century and 19th century. We identify the most voluble N-grams throughout the period and we also identify N-grams that should be considered when studying the linguistic changes from Classical Portuguese to Modern Portuguese. We find that 2-grams composed by unstressed monosyllables followed by paroxytone words (and viceversa) change markedly, from one text to the next, during the whole period. Stressed monosyllabic words (SMW) reveal discrepancies between written texts of the 16th century when compared with texts from the beginning of the 17th century. 2-grams of (i) SMW followed by paroxytone or oxytone word and (ii) paroxytone dissyllabic word or oxytone word followed by a SMW are some of them.pt_BR
dc.relation.ispartofCadernos de estudos linguisticospt_BR
dc.relation.ispartofabbreviationCad. estud. linguist.pt_BR
dc.publisher.cityCampinas, SPpt_BR
dc.publisher.countryBrasilpt_BR
dc.publisherUNICAMP/IELpt_BR
dc.date.issued2017pt_BR
dc.date.monthofcirculationSept./Dec.pt_BR
dc.language.isoengpt_BR
dc.description.volume59pt_BR
dc.description.issuenumber3pt_BR
dc.description.firstpage617pt_BR
dc.description.lastpage630pt_BR
dc.rightsabertopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn0102-5767pt_BR
dc.identifier.eissn2447-0686pt_BR
dc.identifier.doi10.20396/cel.v59i3.8651002pt_BR
dc.identifier.urlhttps://periodicos.sbu.unicamp.br/ojs/index.php/cel/article/view/8651002pt_BR
dc.date.available2020-07-14T17:32:24Z-
dc.date.accessioned2020-07-14T17:32:24Z-
dc.description.provenanceMade available in DSpace on 2020-07-14T17:32:24Z (GMT). No. of bitstreams: 1 000424435200010.pdf: 566413 bytes, checksum: d336345e035fa5fe4a1cede7101a6066 (MD5) Previous issue date: 2017en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/345321-
dc.contributor.departmentDepartamento de Estatísticapt_BR
dc.contributor.departmentDepartamento de Estatísticapt_BR
dc.contributor.unidadeInstituto de Matemática Estatística e Computação Científicapt_BR
dc.contributor.unidadeInstituto de Matemática Estatística e Computação Científicapt_BR
dc.identifier.source000424435200010pt_BR
dc.creator.orcid0000-0002-6952-1635pt_BR
dc.creator.orcid0000-0002-3514-4130pt_BR
dc.type.formArtigopt_BR
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