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GREAT: open source software for statistical machine translation

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GREAT: open source software for statistical machine translation

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González Mollá, J.; Casacuberta Nolla, F. (2011). GREAT: open source software for statistical machine translation. Machine Translation. 25(2):145-160. doi:10.1007/s10590-011-9097-6

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/36594

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Title: GREAT: open source software for statistical machine translation
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] In this article, the first public release of GREAT as an open-source, statistical machine translation (SMT) software toolkit is described. GREAT is based on a bilingual language modelling approach for SMT, which is ...[+]
Subjects: Grammatical inference , Language modelling , Monotonic bilingual segmentation , Statistical machine translation , Stochastic finite-state transducers
Copyrigths: Reserva de todos los derechos
Source:
Machine Translation. (issn: 0922-6567 )
DOI: 10.1007/s10590-011-9097-6
Publisher:
Springer Netherlands
Publisher version: http://link.springer.com/article/10.1007%2Fs10590-011-9097-6
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/s10590-011-9097-6
Thanks:
Study was supported by the EC (FEDER, FSE), the Spanish government (MICINN, MITyC, “Plan E”, under Grants MIPRCV “Consolider Ingenio 2010”, iTrans2 TIN2009-14511, and erudito.com TSI-020110-2009-439), and the Generalitat ...[+]
Type: Artículo

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