A linguistically motivated taxonomy for Machine Translation error analysis

Detalhes bibliográficos
Autor(a) principal: Costa, Ângela
Data de Publicação: 2015
Outros Autores: Ling, Wang, Luís, Tiago, Correia, Rui, Coheur, Luisa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/28607
Resumo: UID/LIN/03213/2013 SFRH/BD/85737/2012 SFRH/BD/51157/2010 SFRH/BD/51156/2010
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spelling A linguistically motivated taxonomy for Machine Translation error analysisMachine TranslationError TaxonomyError AnalysisRomance LanguagesUID/LIN/03213/2013 SFRH/BD/85737/2012 SFRH/BD/51157/2010 SFRH/BD/51156/2010A detailed error analysis is a fundamental step in every natural lan- guage processing task, as to be able to diagnosis what went wrong will provide cues to decide which are the research directions to be followed. In this paper we focus on error analysis in Machine Translation. We deeply extend previous error taxonomies so that translation errors associated with Romance languages speci- ficities can be accommodated. Also, based on the proposed taxonomy, we carry out an extensive analysis of the errors generated by four di↵erent systems: two mainstream online translation systems Google Translate (Statistical) and Systran (Hybrid Machine Translation) and two in-house Machine Translation systems, in three scenarios representing di↵erent challenges in the translation from English to European Portuguese. Additionally, we comment on how distinct error types di↵erently impact translation quality.Centro de Linguística da UNL (CLUNL)RUNCosta, ÂngelaLing, WangLuís, TiagoCorreia, RuiCoheur, Luisa2018-01-19T23:11:27Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article34application/pdfhttp://hdl.handle.net/10362/28607eng0922-6567PURE: 3376418https://doi.org/10.1007/s10590-015-9169-0info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:15:25Zoai:run.unl.pt:10362/28607Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:29:00.928192Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A linguistically motivated taxonomy for Machine Translation error analysis
title A linguistically motivated taxonomy for Machine Translation error analysis
spellingShingle A linguistically motivated taxonomy for Machine Translation error analysis
Costa, Ângela
Machine Translation
Error Taxonomy
Error Analysis
Romance Languages
title_short A linguistically motivated taxonomy for Machine Translation error analysis
title_full A linguistically motivated taxonomy for Machine Translation error analysis
title_fullStr A linguistically motivated taxonomy for Machine Translation error analysis
title_full_unstemmed A linguistically motivated taxonomy for Machine Translation error analysis
title_sort A linguistically motivated taxonomy for Machine Translation error analysis
author Costa, Ângela
author_facet Costa, Ângela
Ling, Wang
Luís, Tiago
Correia, Rui
Coheur, Luisa
author_role author
author2 Ling, Wang
Luís, Tiago
Correia, Rui
Coheur, Luisa
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Centro de Linguística da UNL (CLUNL)
RUN
dc.contributor.author.fl_str_mv Costa, Ângela
Ling, Wang
Luís, Tiago
Correia, Rui
Coheur, Luisa
dc.subject.por.fl_str_mv Machine Translation
Error Taxonomy
Error Analysis
Romance Languages
topic Machine Translation
Error Taxonomy
Error Analysis
Romance Languages
description UID/LIN/03213/2013 SFRH/BD/85737/2012 SFRH/BD/51157/2010 SFRH/BD/51156/2010
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01T00:00:00Z
2018-01-19T23:11:27Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/28607
url http://hdl.handle.net/10362/28607
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0922-6567
PURE: 3376418
https://doi.org/10.1007/s10590-015-9169-0
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