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Master's Dissertation
DOI
https://doi.org/10.11606/D.55.2003.tde-24112005-114727
Document
Author
Full name
Helena de Medeiros Caseli
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2003
Supervisor
Committee
Nunes, Maria das Graças Volpe (President)
Aluisio, Sandra Maria
Carvalho, Ariadne Maria Brito Rizzoni
Title in Portuguese
"Alinhamento sentencial de textos paralelos português-inglês"
Keywords in Portuguese
alinhamento sentencial
inglês
português
textos paralelos
Abstract in Portuguese
Esta dissertação relata o primeiro trabalho de pesquisa em alinhamento automático de textos paralelos envolvendo o português brasileiro (PB). Neste trabalho foram implementados cinco métodos de alinhamento sentencial automático bastante referenciados na literatura, incluindo métodos empíricos, lingüísticos e híbridos, avaliados com textos paralelos PB-inglês. Os resultados mostraram-se compatíveis com os relatados para outros pares de línguas, sendo que as maiores precisões (acima de 94%) foram obtidas em corpora sem ruídos (sem erros gramaticais e de tradução), conforme era esperado. Além disso, os resultados apontam muita semelhança no desempenho de todos os métodos, o que impossibilita a eleição de um deles como o melhor. Além da implementação dos métodos de alinhamento sentencial e dos corpora paralelos construídos para avaliá-los, outros recursos lingüísticos e computacionais de grande valor para as pesquisas em PLN foram gerados durante este trabalho.
Title in English
Sentence alignment of Portuguese-English parallel texts
Keywords in English
English
parallel texts
Portuguese
sentence alignment
Abstract in English
As the first attempt at automatic parallel text alignment involving Brazilian Portuguese, in this research we implemented five well-known automatic sentence alignment methods, including empirical, linguistic and hybrid techniques, and evaluated them as applied to Brazilian Portuguese-English parallel texts. The results are in accordance with those reported for other pairs of languages, even in that highest precisions (above 94%) were obtained for corpora without noise (i.e. grammatical or translation errors), as expected. Furthermore, the results point to a virtual tie between the methods, it being impossible to elect one as the best. In addition to the implementations of those methods and the parallel corpora built to evaluate them, other linguistic and computational resources were built during this work which are of great value to PLN research.
 
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Diss_Helena.pdf (575.06 Kbytes)
Publishing Date
2005-12-08
 
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