Function in laguage, generalization and reproductibility

Detalhes bibliográficos
Autor(a) principal: Freitag, Raquel
Data de Publicação: 2021
Outros Autores: Tejada, Julian, Pinheiro, Bruno, Cardoso, Paloma
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista da ABRALIN (Online)
Texto Completo: https://revista.abralin.org/index.php/abralin/article/view/1827
Resumo: In this paper, a technique to validate the analyst's intuition and sensitivity in attributing values to a linguistic function is presented. The classification algorithm machine learning technique is applied in two datasets of polysemic phenomena in Brazilian Portuguese –diminutives and the discourse marker (eu) acho que – to test whether the criteria adopted by an analyst are consistent and can be generalized. Testing the criteria adopted by an analyst by machine learning allows us to assess their consistency and generalization potential as well as to identify when the conditions of a model are not the ones responsible for assigning the judgment.
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spelling Function in laguage, generalization and reproductibilityFunção na língua, generalização e reprodutibilidadeClassificaçãoDiminutivos(eu) Acho queAprendizado de máquinaClassificationDiminutives(I) Think thatMachine learningIn this paper, a technique to validate the analyst's intuition and sensitivity in attributing values to a linguistic function is presented. The classification algorithm machine learning technique is applied in two datasets of polysemic phenomena in Brazilian Portuguese –diminutives and the discourse marker (eu) acho que – to test whether the criteria adopted by an analyst are consistent and can be generalized. Testing the criteria adopted by an analyst by machine learning allows us to assess their consistency and generalization potential as well as to identify when the conditions of a model are not the ones responsible for assigning the judgment.Neste texto, uma técnica para validar a intuição e sensibilidade do analista que codifica valores de uma função é apresentada. A técnica de aprendizagem de máquina por algoritmo de classificação é aplicada a dois conjuntos de dados de fenômenos polissêmicos do português brasileiro – funções dos diminutivos e do modalizador parentético epistêmico (eu) acho que – para testar se os critérios adotados por um analista são consistentes e podem ser generalizados. Os resultados apontam para a importância da análise exploratória e confirmatória na rotina de classificação, e o aprendizado de máquina permite a identificar quando as condições de um modelo não são as responsáveis pela atribuição do julgamento.Associação Brasileira de Linguística2021-05-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionResearch report and tutorialRelatório de Pesquisa e Tutorialapplication/pdftext/xmlhttps://revista.abralin.org/index.php/abralin/article/view/182710.25189/rabralin.v20i1.1827Revista da ABRALIN; V. 20, N. 1 (2021); 1-27Revista da ABRALIN; V. 20, N. 1 (2021); 1-270102-715810.25189/rabralin.v20i1reponame:Revista da ABRALIN (Online)instname:Universidade Federal do Paraná (UFPR)instacron:UFPRporhttps://revista.abralin.org/index.php/abralin/article/view/1827/2146https://revista.abralin.org/index.php/abralin/article/view/1827/2167Copyright (c) 2021 Raquel Freitag, Julian Tejada, Bruno Pinheiro, Paloma Cardosohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFreitag, RaquelTejada, JulianPinheiro, BrunoCardoso, Paloma2022-08-22T19:36:01Zoai:ojs.revista.ojs.abralin.org:article/1827Revistahttps://revista.abralin.org/index.php/abralinPUBhttps://revista.abralin.org/index.php/abralin/oairkofreitag@uol.com.br || ra@abralin.org2178-76031678-1805opendoar:2022-08-22T19:36:01Revista da ABRALIN (Online) - Universidade Federal do Paraná (UFPR)false
dc.title.none.fl_str_mv Function in laguage, generalization and reproductibility
Função na língua, generalização e reprodutibilidade
title Function in laguage, generalization and reproductibility
spellingShingle Function in laguage, generalization and reproductibility
Freitag, Raquel
Classificação
Diminutivos
(eu) Acho que
Aprendizado de máquina
Classification
Diminutives
(I) Think that
Machine learning
title_short Function in laguage, generalization and reproductibility
title_full Function in laguage, generalization and reproductibility
title_fullStr Function in laguage, generalization and reproductibility
title_full_unstemmed Function in laguage, generalization and reproductibility
title_sort Function in laguage, generalization and reproductibility
author Freitag, Raquel
author_facet Freitag, Raquel
Tejada, Julian
Pinheiro, Bruno
Cardoso, Paloma
author_role author
author2 Tejada, Julian
Pinheiro, Bruno
Cardoso, Paloma
author2_role author
author
author
dc.contributor.author.fl_str_mv Freitag, Raquel
Tejada, Julian
Pinheiro, Bruno
Cardoso, Paloma
dc.subject.por.fl_str_mv Classificação
Diminutivos
(eu) Acho que
Aprendizado de máquina
Classification
Diminutives
(I) Think that
Machine learning
topic Classificação
Diminutivos
(eu) Acho que
Aprendizado de máquina
Classification
Diminutives
(I) Think that
Machine learning
description In this paper, a technique to validate the analyst's intuition and sensitivity in attributing values to a linguistic function is presented. The classification algorithm machine learning technique is applied in two datasets of polysemic phenomena in Brazilian Portuguese –diminutives and the discourse marker (eu) acho que – to test whether the criteria adopted by an analyst are consistent and can be generalized. Testing the criteria adopted by an analyst by machine learning allows us to assess their consistency and generalization potential as well as to identify when the conditions of a model are not the ones responsible for assigning the judgment.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-31
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Research report and tutorial
Relatório de Pesquisa e Tutorial
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revista.abralin.org/index.php/abralin/article/view/1827
10.25189/rabralin.v20i1.1827
url https://revista.abralin.org/index.php/abralin/article/view/1827
identifier_str_mv 10.25189/rabralin.v20i1.1827
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revista.abralin.org/index.php/abralin/article/view/1827/2146
https://revista.abralin.org/index.php/abralin/article/view/1827/2167
dc.rights.driver.fl_str_mv Copyright (c) 2021 Raquel Freitag, Julian Tejada, Bruno Pinheiro, Paloma Cardoso
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Raquel Freitag, Julian Tejada, Bruno Pinheiro, Paloma Cardoso
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/xml
dc.publisher.none.fl_str_mv Associação Brasileira de Linguística
publisher.none.fl_str_mv Associação Brasileira de Linguística
dc.source.none.fl_str_mv Revista da ABRALIN; V. 20, N. 1 (2021); 1-27
Revista da ABRALIN; V. 20, N. 1 (2021); 1-27
0102-7158
10.25189/rabralin.v20i1
reponame:Revista da ABRALIN (Online)
instname:Universidade Federal do Paraná (UFPR)
instacron:UFPR
instname_str Universidade Federal do Paraná (UFPR)
instacron_str UFPR
institution UFPR
reponame_str Revista da ABRALIN (Online)
collection Revista da ABRALIN (Online)
repository.name.fl_str_mv Revista da ABRALIN (Online) - Universidade Federal do Paraná (UFPR)
repository.mail.fl_str_mv rkofreitag@uol.com.br || ra@abralin.org
_version_ 1798329771814289408

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