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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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dc.contributor.author Silvestre Cerdà, Joan Albert es_ES
dc.contributor.author Andrés Ferrer, Jesús es_ES
dc.contributor.author Civera Saiz, Jorge es_ES
dc.date.accessioned 2014-01-21T12:42:45Z
dc.date.issued 2012
dc.identifier.issn 0031-3203
dc.identifier.uri http://hdl.handle.net/10251/34996
dc.description.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 parametrisations for statistical machine translation (SMT) are presented. More precisely, we incorporate explicit bilingual length modelling in a state-of-the-art log-linear SMT system as an additional feature function in order to prove the contribution of length information. Finally, a systematic evaluation on reference SMT tasks considering different language pairs proves the benefits of explicit length modelling. es_ES
dc.description.sponsorship 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 and FPU grant (AP2010-4349). Also supported by the Spanish MITyC under the erudito.com (TSI-020110-2009-439) project and by the Generalitat Valenciana under grants Prometeo/2009/014 and GV/2010/067, and by the UPV under the AdInTAO (20091027) project. The authors wish to thank the anonymous reviewers for their criticisms and suggestions. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation MEC/MICINN/CSD2007-00018 es_ES
dc.relation MICINN/FPU/AP2010-4349 es_ES
dc.relation MITYC/TSI-020110-2009-439 es_ES
dc.relation GV/PROMETEO/2009/014 es_ES
dc.relation UPV/20091027 es_ES
dc.relation MEC/MICINN/TIN2009-14511
dc.relation GV/GV/2010/067
dc.relation.ispartof Pattern Recognition es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Length modelling es_ES
dc.subject Log-linear models es_ES
dc.subject Phrase-based models es_ES
dc.subject Statistical machine translation es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Explicit length modelling for statistical machine translation es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1016/j.patcog.2012.01.006
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/287755 en_EN
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Silvestre Cerdà, JA.; Andrés Ferrer, J.; Civera Saiz, J. (2012). Explicit length modelling for statistical machine translation. Pattern Recognition. 45(9):3183-3192. doi:10.1016/j.patcog.2012.01.006 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.patcog.2012.01.006 es_ES
dc.description.upvformatpinicio 3183 es_ES
dc.description.upvformatpfin 3192 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 45 es_ES
dc.description.issue 9 es_ES
dc.relation.senia 242302
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Ciencia e Innovación (MICINN)
dc.contributor.funder Ministerio de Industria, Turismo y Comercio (MITYC)
dc.contributor.funder Generalitat Valenciana (GV)
dc.contributor.funder Universitat Politècnica de València (UPV)


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