Research methods in psycholinguistics: developing a tool for the automatic generation of pseudo-verbs
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Data de Publicação: | 2013 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Letras de Hoje (Online) |
Texto Completo: | https://revistaseletronicas.pucrs.br/ojs/index.php/fale/article/view/13486 |
Resumo: | The use of pseudo-words has benefitted psycholinguistic studies dedicated to the different aspects of the acquisition and processing of language, including reading and writing. However, in most of the studies that make use of pseudowords, the combination of graphemes in a string is often based on the intuition of researchers, who generally do not take the frequency of structural occurrences of the language into consideration. The present study aims at contributing to the development of procedures to aid research which makes use of pseudowords. In this paper, we present a computational tool developed for the generation of pseudoverbs. The process of development of this tool involved the analysis of the structural patterns of the 500 most frequent verbs in Brazilian Portuguese. This analysis was carried out with the use of NLP techniques and data mining in order to collect and extract patterns. The present study adopted an unsupervised machine learning approach since it used an algorithm of clustering for the automatic generation of pseudo-verbs. |
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Research methods in psycholinguistics: developing a tool for the automatic generation of pseudo-verbsMetodologia da pesquisa em psicolinguística: desenvolvimento de uma ferramenta para a geração automática de pseudoverbosPseudo-wordsPseudo-verbsData miningComputational toolPseudopalavrasPseudoverbosMineração de dadosFerramenta computacionalThe use of pseudo-words has benefitted psycholinguistic studies dedicated to the different aspects of the acquisition and processing of language, including reading and writing. However, in most of the studies that make use of pseudowords, the combination of graphemes in a string is often based on the intuition of researchers, who generally do not take the frequency of structural occurrences of the language into consideration. The present study aims at contributing to the development of procedures to aid research which makes use of pseudowords. In this paper, we present a computational tool developed for the generation of pseudoverbs. The process of development of this tool involved the analysis of the structural patterns of the 500 most frequent verbs in Brazilian Portuguese. This analysis was carried out with the use of NLP techniques and data mining in order to collect and extract patterns. The present study adopted an unsupervised machine learning approach since it used an algorithm of clustering for the automatic generation of pseudo-verbs.O uso de pseudopalavras tem beneficiado estudos psicolinguísticos dedicados à aquisição e processamento da linguagem em seus diversos aspectos, incluindo o processamento da leitura e escrita. No entanto, em uma grande parte dos estudos que fazem uso de pseudopalavras, a combinação de fonemas em uma sequência geralmente é realizada com base na intuição dos pesquisadores, sem levar em conta as ocorrências estruturais mais frequentes na língua. Nesse sentido, o presente estudo visa contribuir para o desenvolvimento de procedimentos que possam auxiliar pesquisas que utilizam pseudopalavras em seus designs. Neste artigo, apresentamos uma ferramenta computacional desenvolvida com o objetivo específico de gerar pseudoverbos. O processo de criação da ferramenta envolveu a análise dos padrões estruturais dos 500 verbos mais frequentes do português do Brasil, empregando técnicas do PLN e mineração de dados para coletar e extrair padrões. O presente estudo contou com uma abordagem não supervisionada de aprendizado de máquina, uma vez que utilizou um algorítmo de agrupamento de dados (cluster) para extração dos padrões estruturais dos verbos.Editora da PUCRS - ediPUCRS2013-04-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistaseletronicas.pucrs.br/ojs/index.php/fale/article/view/13486Letras de Hoje; Vol. 48 No. 1 (2013): Research and Teaching of Reading and Writing: Psycholinguistic Studies; 100-107Letras de Hoje; Vol. 48 Núm. 1 (2013): Pesquisa e Ensino da Leitura e da Escrita: Estudos Psicolinguísticos; 100-107Letras de Hoje; v. 48 n. 1 (2013): Pesquisa e Ensino da Leitura e da Escrita: Estudos Psicolinguísticos; 100-1071984-77260101-3335reponame:Letras de Hoje (Online)instname:Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)instacron:PUC_RSporhttps://revistaseletronicas.pucrs.br/ojs/index.php/fale/article/view/13486/8887Mota, MailceResende, Natáliainfo:eu-repo/semantics/openAccess2013-08-07T14:41:43Zoai:ojs.revistaseletronicas.pucrs.br:article/13486Revistahttps://revistaseletronicas.pucrs.br/ojs/index.php/falePRIhttps://revistaseletronicas.pucrs.br/ojs/index.php/fale/oaieditora.periodicos@pucrs.br || letrasdehoje@pucrs.br1984-77260101-3335opendoar:2013-08-07T14:41:43Letras de Hoje (Online) - Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)false |
dc.title.none.fl_str_mv |
Research methods in psycholinguistics: developing a tool for the automatic generation of pseudo-verbs Metodologia da pesquisa em psicolinguística: desenvolvimento de uma ferramenta para a geração automática de pseudoverbos |
title |
Research methods in psycholinguistics: developing a tool for the automatic generation of pseudo-verbs |
spellingShingle |
Research methods in psycholinguistics: developing a tool for the automatic generation of pseudo-verbs Mota, Mailce Pseudo-words Pseudo-verbs Data mining Computational tool Pseudopalavras Pseudoverbos Mineração de dados Ferramenta computacional |
title_short |
Research methods in psycholinguistics: developing a tool for the automatic generation of pseudo-verbs |
title_full |
Research methods in psycholinguistics: developing a tool for the automatic generation of pseudo-verbs |
title_fullStr |
Research methods in psycholinguistics: developing a tool for the automatic generation of pseudo-verbs |
title_full_unstemmed |
Research methods in psycholinguistics: developing a tool for the automatic generation of pseudo-verbs |
title_sort |
Research methods in psycholinguistics: developing a tool for the automatic generation of pseudo-verbs |
author |
Mota, Mailce |
author_facet |
Mota, Mailce Resende, Natália |
author_role |
author |
author2 |
Resende, Natália |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Mota, Mailce Resende, Natália |
dc.subject.por.fl_str_mv |
Pseudo-words Pseudo-verbs Data mining Computational tool Pseudopalavras Pseudoverbos Mineração de dados Ferramenta computacional |
topic |
Pseudo-words Pseudo-verbs Data mining Computational tool Pseudopalavras Pseudoverbos Mineração de dados Ferramenta computacional |
description |
The use of pseudo-words has benefitted psycholinguistic studies dedicated to the different aspects of the acquisition and processing of language, including reading and writing. However, in most of the studies that make use of pseudowords, the combination of graphemes in a string is often based on the intuition of researchers, who generally do not take the frequency of structural occurrences of the language into consideration. The present study aims at contributing to the development of procedures to aid research which makes use of pseudowords. In this paper, we present a computational tool developed for the generation of pseudoverbs. The process of development of this tool involved the analysis of the structural patterns of the 500 most frequent verbs in Brazilian Portuguese. This analysis was carried out with the use of NLP techniques and data mining in order to collect and extract patterns. The present study adopted an unsupervised machine learning approach since it used an algorithm of clustering for the automatic generation of pseudo-verbs. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-04-15 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistaseletronicas.pucrs.br/ojs/index.php/fale/article/view/13486 |
url |
https://revistaseletronicas.pucrs.br/ojs/index.php/fale/article/view/13486 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistaseletronicas.pucrs.br/ojs/index.php/fale/article/view/13486/8887 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Editora da PUCRS - ediPUCRS |
publisher.none.fl_str_mv |
Editora da PUCRS - ediPUCRS |
dc.source.none.fl_str_mv |
Letras de Hoje; Vol. 48 No. 1 (2013): Research and Teaching of Reading and Writing: Psycholinguistic Studies; 100-107 Letras de Hoje; Vol. 48 Núm. 1 (2013): Pesquisa e Ensino da Leitura e da Escrita: Estudos Psicolinguísticos; 100-107 Letras de Hoje; v. 48 n. 1 (2013): Pesquisa e Ensino da Leitura e da Escrita: Estudos Psicolinguísticos; 100-107 1984-7726 0101-3335 reponame:Letras de Hoje (Online) instname:Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS) instacron:PUC_RS |
instname_str |
Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS) |
instacron_str |
PUC_RS |
institution |
PUC_RS |
reponame_str |
Letras de Hoje (Online) |
collection |
Letras de Hoje (Online) |
repository.name.fl_str_mv |
Letras de Hoje (Online) - Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS) |
repository.mail.fl_str_mv |
editora.periodicos@pucrs.br || letrasdehoje@pucrs.br |
_version_ |
1799128775287373824 |