PHONOLOGICAL ROUTE PROCESSING: EVIDENCE OF INTUITION IN PORTUGUESE SPELLING
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
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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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 |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufes.br/contextoslinguisticos/article/view/27288 |
url |
https://periodicos.ufes.br/contextoslinguisticos/article/view/27288 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
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 |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
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 2317-3475 reponame:Revista (Con)Textos Linguísticos (Online) instname:Universidade Federal do Espírito Santo (UFES) instacron:UFES |
instname_str |
Universidade Federal do Espírito Santo (UFES) |
instacron_str |
UFES |
institution |
UFES |
reponame_str |
Revista (Con)Textos Linguísticos (Online) |
collection |
Revista (Con)Textos Linguísticos (Online) |
repository.name.fl_str_mv |
Revista (Con)Textos Linguísticos (Online) - Universidade Federal do Espírito Santo (UFES) |
repository.mail.fl_str_mv |
||meirelesalex@gmail.com |
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1799699010613673984 |