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Explicit length modelling for statistical machine translation

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Explicit length modelling for statistical machine translation

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Silvestre Cerdà, JA.; Andrés Ferrer, J.; Civera Saiz, J. (2012). Explicit length modelling for statistical machine translation. Pattern Recognition. 45(9):3183-3192. https://doi.org/10.1016/j.patcog.2012.01.006

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/34996

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Title: Explicit length modelling for statistical machine translation
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
[EN] Explicit length modelling has been previously explored in statistical pattern recognition with successful results. In this paper, two length models along with two parameter estimation methods and two alternative ...[+]
Subjects: Length modelling , Log-linear models , Phrase-based models , Statistical machine translation
Copyrigths: Reserva de todos los derechos
Source:
Pattern Recognition. (issn: 0031-3203 )
DOI: 10.1016/j.patcog.2012.01.006
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.patcog.2012.01.006
Project ID: info:eu-repo/grantAgreement/EC/FP7/287755
Thanks:
Work supported by the EC (FEDER/FSE) under the transLectures project (FP7-ICT-2011-7-287755) and the Spanish MEC/MICINN under the MIPRCV "Consolider Ingenio 2010" program (CSD2007-00018) and iTrans2 (TIN2009-14511) projects ...[+]
Type: Artículo

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