MACHINE TRANSLATION: TEACHING AND LEARNING ISSUES

Detalhes bibliográficos
Autor(a) principal: Esqueda,Marileide Dias
Data de Publicação: 2021
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Trabalhos em Lingüística Aplicada (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-18132021000100282
Resumo: ABSTRACT Considering the boost in technological development, and that machine translation has been widely used by both industry and academia, the main goal of this paper is to describe possibilities for the incorporation of a basic machine translation module in a Translation program at university level. The didactic proposal herein presented aims at providing Translation students ways of identifying general output results different modern machine translation systems have in common. Through a task-based teaching approach, students may assess machine translation strengths and weaknesses in order to make better use of this technology.
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spelling MACHINE TRANSLATION: TEACHING AND LEARNING ISSUESmachine translationtranslation technologiestranslation teaching and learningABSTRACT Considering the boost in technological development, and that machine translation has been widely used by both industry and academia, the main goal of this paper is to describe possibilities for the incorporation of a basic machine translation module in a Translation program at university level. The didactic proposal herein presented aims at providing Translation students ways of identifying general output results different modern machine translation systems have in common. Through a task-based teaching approach, students may assess machine translation strengths and weaknesses in order to make better use of this technology.UNICAMP. Programa de Pós-Graduação em Linguística Aplicada do Instituto de Estudos da Linguagem (IEL)2021-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-18132021000100282Trabalhos em Linguística Aplicada v.60 n.1 2021reponame:Trabalhos em Lingüística Aplicada (Online)instname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMP10.1590/01031813932001520210212info:eu-repo/semantics/openAccessEsqueda,Marileide Diaseng2021-05-11T00:00:00Zoai:scielo:S0103-18132021000100282Revistahttps://periodicos.sbu.unicamp.br/ojs/index.php/tlaPUBhttps://periodicos.sbu.unicamp.br/ojs/index.php/tla/oaispublic@iel.unicamp.br2175-764X0103-1813opendoar:2022-11-08T14:23:54.325541Trabalhos em Lingüística Aplicada (Online) - Universidade Estadual de Campinas (UNICAMP)false
dc.title.none.fl_str_mv MACHINE TRANSLATION: TEACHING AND LEARNING ISSUES
title MACHINE TRANSLATION: TEACHING AND LEARNING ISSUES
spellingShingle MACHINE TRANSLATION: TEACHING AND LEARNING ISSUES
Esqueda,Marileide Dias
machine translation
translation technologies
translation teaching and learning
title_short MACHINE TRANSLATION: TEACHING AND LEARNING ISSUES
title_full MACHINE TRANSLATION: TEACHING AND LEARNING ISSUES
title_fullStr MACHINE TRANSLATION: TEACHING AND LEARNING ISSUES
title_full_unstemmed MACHINE TRANSLATION: TEACHING AND LEARNING ISSUES
title_sort MACHINE TRANSLATION: TEACHING AND LEARNING ISSUES
author Esqueda,Marileide Dias
author_facet Esqueda,Marileide Dias
author_role author
dc.contributor.author.fl_str_mv Esqueda,Marileide Dias
dc.subject.por.fl_str_mv machine translation
translation technologies
translation teaching and learning
topic machine translation
translation technologies
translation teaching and learning
description ABSTRACT Considering the boost in technological development, and that machine translation has been widely used by both industry and academia, the main goal of this paper is to describe possibilities for the incorporation of a basic machine translation module in a Translation program at university level. The didactic proposal herein presented aims at providing Translation students ways of identifying general output results different modern machine translation systems have in common. Through a task-based teaching approach, students may assess machine translation strengths and weaknesses in order to make better use of this technology.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-18132021000100282
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-18132021000100282
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/01031813932001520210212
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv UNICAMP. Programa de Pós-Graduação em Linguística Aplicada do Instituto de Estudos da Linguagem (IEL)
publisher.none.fl_str_mv UNICAMP. Programa de Pós-Graduação em Linguística Aplicada do Instituto de Estudos da Linguagem (IEL)
dc.source.none.fl_str_mv Trabalhos em Linguística Aplicada v.60 n.1 2021
reponame:Trabalhos em Lingüística Aplicada (Online)
instname:Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
instname_str Universidade Estadual de Campinas (UNICAMP)
instacron_str UNICAMP
institution UNICAMP
reponame_str Trabalhos em Lingüística Aplicada (Online)
collection Trabalhos em Lingüística Aplicada (Online)
repository.name.fl_str_mv Trabalhos em Lingüística Aplicada (Online) - Universidade Estadual de Campinas (UNICAMP)
repository.mail.fl_str_mv spublic@iel.unicamp.br
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