PHONOLOGICAL ROUTE PROCESSING: EVIDENCE OF INTUITION IN PORTUGUESE SPELLING

Detalhes bibliográficos
Autor(a) principal: Capovilla, Fernando César
Data de Publicação: 2019
Outros Autores: Luz, Tiago Tibério, Graton-Santos, Luiz Eduardo, Damazio, Miriam
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Revista (Con)Textos Linguísticos (Online)
Texto Completo: https://periodicos.ufes.br/contextoslinguisticos/article/view/27288
Resumo: A new procedure for calculating spelling difficulty in Brazilian Portuguese is presented. It aims at predicting the risk of committing spelling errors. It is based on phone to grapheme prevalence indexes.  For any given phone there are n graphemes, each with its prevalence index.  For instance, 11 graphemes encode phone [s], each with its own prevalence: 54% as “s” [sa'livɐ], 27,4% a “c” [si'ɡahɐ] , 9,2% as “ç” ['pɾasɐ],  5,38% as “ss” ['masɐ], 1,82% as “sc” [fasina'doɾ, 1,51% as “x” [espe'liɾ], 0,40% as “z” ['dɛs], 0,12% as “xc” [ese'deɾ], 0,0079% as “xs” [esu'dʲiɾ], 0,0026% as “sç” [kɾe'sɐ], and 0,0009% as “cç” [se'sɐ̃w̃]. According to it, the lower the prevalence with which a given grapheme encodes a given phone, the greater the spelling error vulnerability. Prevalent graphemes tend to intrude upon non-prevalent ones. A study assessed whether prevalence indexes could account for spelling error distribution. A sample of 154 students (61 college and 93 elementary school ones) was exposed to a spelling under dictation task involving 280 different phone-grapheme prevalence indexes. Each student had to spell 560 rare words, 6.6 phones each on average, totaling 3,676 spelling events. Regression analysis results revealed spelling precision is directly proportional to prevalence index. Thus the procedure has been found empirically valid for calculating spelling difficulty in Brazilian Portuguese.
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spelling PHONOLOGICAL ROUTE PROCESSING: EVIDENCE OF INTUITION IN PORTUGUESE SPELLINGPHONOLOGICAL ROUTE PROCESSING: EVIDENCE OF INTUITION IN PORTUGUESE SPELLINGA new procedure for calculating spelling difficulty in Brazilian Portuguese is presented. It aims at predicting the risk of committing spelling errors. It is based on phone to grapheme prevalence indexes.  For any given phone there are n graphemes, each with its prevalence index.  For instance, 11 graphemes encode phone [s], each with its own prevalence: 54% as “s” [sa'livɐ], 27,4% a “c” [si'ɡahɐ] , 9,2% as “ç” ['pɾasɐ],  5,38% as “ss” ['masɐ], 1,82% as “sc” [fasina'doɾ, 1,51% as “x” [espe'liɾ], 0,40% as “z” ['dɛs], 0,12% as “xc” [ese'deɾ], 0,0079% as “xs” [esu'dʲiɾ], 0,0026% as “sç” [kɾe'sɐ], and 0,0009% as “cç” [se'sɐ̃w̃]. According to it, the lower the prevalence with which a given grapheme encodes a given phone, the greater the spelling error vulnerability. Prevalent graphemes tend to intrude upon non-prevalent ones. A study assessed whether prevalence indexes could account for spelling error distribution. A sample of 154 students (61 college and 93 elementary school ones) was exposed to a spelling under dictation task involving 280 different phone-grapheme prevalence indexes. Each student had to spell 560 rare words, 6.6 phones each on average, totaling 3,676 spelling events. Regression analysis results revealed spelling precision is directly proportional to prevalence index. Thus the procedure has been found empirically valid for calculating spelling difficulty in Brazilian Portuguese.A new procedure for calculating spelling difficulty in Brazilian Portuguese is presented. It aims at predicting the risk of committing spelling errors. It is based on phone to grapheme prevalence indexes.  For any given phone there are n graphemes, each with its prevalence index.  For instance, 11 graphemes encode phone [s], each with its own prevalence: 54% as “s” [sa'livɐ], 27,4% a “c” [si'ɡahɐ] , 9,2% as “ç” ['pɾasɐ],  5,38% as “ss” ['masɐ], 1,82% as “sc” [fasina'doɾ, 1,51% as “x” [espe'liɾ], 0,40% as “z” ['dɛs], 0,12% as “xc” [ese'deɾ], 0,0079% as “xs” [esu'dʲiɾ], 0,0026% as “sç” [kɾe'sɐ], and 0,0009% as “cç” [se'sɐ̃w̃]. According to it, the lower the prevalence with which a given grapheme encodes a given phone, the greater the spelling error vulnerability. Prevalent graphemes tend to intrude upon non-prevalent ones. A study assessed whether prevalence indexes could account for spelling error distribution. A sample of 154 students (61 college and 93 elementary school ones) was exposed to a spelling under dictation task involving 280 different phone-grapheme prevalence indexes. Each student had to spell 560 rare words, 6.6 phones each on average, totaling 3,676 spelling events. Regression analysis results revealed spelling precision is directly proportional to prevalence index. Thus the procedure has been found empirically valid for calculating spelling difficulty in Brazilian Portuguese.Programa de Pós-Graduação em Linguística da Universidade Federal do Espírito Santo2019-10-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo avaliado pelos Paresapplication/pdfapplication/pdfhttps://periodicos.ufes.br/contextoslinguisticos/article/view/27288Revista (Con)Textos Linguísticos; v. 13 n. 24 (2019): Revista (Con)Textos Linguísticos; 24-45Revista (Con)Textos Linguísticos; Vol. 13 No. 24 (2019): Revista (Con)Textos Linguísticos; 24-451982-291X2317-3475reponame:Revista (Con)Textos Linguísticos (Online)instname:Universidade Federal do Espírito Santo (UFES)instacron:UFESporenghttps://periodicos.ufes.br/contextoslinguisticos/article/view/27288/18407https://periodicos.ufes.br/contextoslinguisticos/article/view/27288/18408Copyright (c) 2019 Revista (Con)textos Linguísticosinfo:eu-repo/semantics/openAccessCapovilla, Fernando CésarLuz, Tiago TibérioGraton-Santos, Luiz EduardoDamazio, Miriam2019-10-08T11:24:37Zoai:periodicos.ufes.br:article/27288Revistahttps://periodicos.ufes.br/contextoslinguisticos/PUBhttps://periodicos.ufes.br/contextoslinguisticos/oai||meirelesalex@gmail.com2317-34751982-291Xopendoar:2019-10-08T11:24:37Revista (Con)Textos Linguísticos (Online) - Universidade Federal do Espírito Santo (UFES)false
dc.title.none.fl_str_mv PHONOLOGICAL ROUTE PROCESSING: EVIDENCE OF INTUITION IN PORTUGUESE SPELLING
PHONOLOGICAL ROUTE PROCESSING: EVIDENCE OF INTUITION IN PORTUGUESE SPELLING
title PHONOLOGICAL ROUTE PROCESSING: EVIDENCE OF INTUITION IN PORTUGUESE SPELLING
spellingShingle PHONOLOGICAL ROUTE PROCESSING: EVIDENCE OF INTUITION IN PORTUGUESE SPELLING
Capovilla, Fernando César
title_short PHONOLOGICAL ROUTE PROCESSING: EVIDENCE OF INTUITION IN PORTUGUESE SPELLING
title_full PHONOLOGICAL ROUTE PROCESSING: EVIDENCE OF INTUITION IN PORTUGUESE SPELLING
title_fullStr PHONOLOGICAL ROUTE PROCESSING: EVIDENCE OF INTUITION IN PORTUGUESE SPELLING
title_full_unstemmed PHONOLOGICAL ROUTE PROCESSING: EVIDENCE OF INTUITION IN PORTUGUESE SPELLING
title_sort PHONOLOGICAL ROUTE PROCESSING: EVIDENCE OF INTUITION IN PORTUGUESE SPELLING
author Capovilla, Fernando César
author_facet Capovilla, Fernando César
Luz, Tiago Tibério
Graton-Santos, Luiz Eduardo
Damazio, Miriam
author_role author
author2 Luz, Tiago Tibério
Graton-Santos, Luiz Eduardo
Damazio, Miriam
author2_role author
author
author
dc.contributor.author.fl_str_mv Capovilla, Fernando César
Luz, Tiago Tibério
Graton-Santos, Luiz Eduardo
Damazio, Miriam
description A new procedure for calculating spelling difficulty in Brazilian Portuguese is presented. It aims at predicting the risk of committing spelling errors. It is based on phone to grapheme prevalence indexes.  For any given phone there are n graphemes, each with its prevalence index.  For instance, 11 graphemes encode phone [s], each with its own prevalence: 54% as “s” [sa'livɐ], 27,4% a “c” [si'ɡahɐ] , 9,2% as “ç” ['pɾasɐ],  5,38% as “ss” ['masɐ], 1,82% as “sc” [fasina'doɾ, 1,51% as “x” [espe'liɾ], 0,40% as “z” ['dɛs], 0,12% as “xc” [ese'deɾ], 0,0079% as “xs” [esu'dʲiɾ], 0,0026% as “sç” [kɾe'sɐ], and 0,0009% as “cç” [se'sɐ̃w̃]. According to it, the lower the prevalence with which a given grapheme encodes a given phone, the greater the spelling error vulnerability. Prevalent graphemes tend to intrude upon non-prevalent ones. A study assessed whether prevalence indexes could account for spelling error distribution. A sample of 154 students (61 college and 93 elementary school ones) was exposed to a spelling under dictation task involving 280 different phone-grapheme prevalence indexes. Each student had to spell 560 rare words, 6.6 phones each on average, totaling 3,676 spelling events. Regression analysis results revealed spelling precision is directly proportional to prevalence index. Thus the procedure has been found empirically valid for calculating spelling difficulty in Brazilian Portuguese.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-08
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artigo avaliado pelos Pares
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dc.identifier.uri.fl_str_mv https://periodicos.ufes.br/contextoslinguisticos/article/view/27288
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dc.language.iso.fl_str_mv por
eng
language por
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dc.relation.none.fl_str_mv https://periodicos.ufes.br/contextoslinguisticos/article/view/27288/18407
https://periodicos.ufes.br/contextoslinguisticos/article/view/27288/18408
dc.rights.driver.fl_str_mv Copyright (c) 2019 Revista (Con)textos Linguísticos
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Revista (Con)textos Linguísticos
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Programa de Pós-Graduação em Linguística da Universidade Federal do Espírito Santo
publisher.none.fl_str_mv Programa de Pós-Graduação em Linguística da Universidade Federal do Espírito Santo
dc.source.none.fl_str_mv Revista (Con)Textos Linguísticos; v. 13 n. 24 (2019): Revista (Con)Textos Linguísticos; 24-45
Revista (Con)Textos Linguísticos; Vol. 13 No. 24 (2019): Revista (Con)Textos Linguísticos; 24-45
1982-291X
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