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Minimum Bayes’ risk subsequence combination for machine translation

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Minimum Bayes’ risk subsequence combination for machine translation

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dc.contributor.author Gonzalez Rubio, Jesus es_ES
dc.contributor.author Casacuberta Nolla, Francisco es_ES
dc.date.accessioned 2016-05-11T13:16:15Z
dc.date.available 2016-05-11T13:16:15Z
dc.date.issued 2015-08
dc.identifier.issn 1433-7541
dc.identifier.uri http://hdl.handle.net/10251/63924
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/s10044-014-0387-5 es_ES
dc.description.abstract System combination has proved to be a successful technique in the pattern recognition field. However, several difficulties arise when combining the outputs of tasks, e.g. machine translation, that generate structured patterns. So far, machine translation system combination approaches either implement sophisticated classifiers to select one of the provided translations, or generate new sentences by combining the "best" subsequences of the provided translations. We present minimum Bayes' risk system combination (MBRSC), a system combination method for machine translation that gathers together the advantages of sentence-selection and subsequence-combination methods. MBRSC is able to detect and utilize the "best" subsequences of the provided translations to generate the optimal consensus translation with respect to a particular performance met- ric. Experiments show that MBRSC yields significant improvements in translation quality. es_ES
dc.description.sponsorship Work supported by the EC (FEDER/FSE) and the Spanish MEC/MICINN under the MIPRCV "Consolider Ingenio 2010'' program (CSD2007-00018), the iTrans2 (TIN2009-14511) project, the UPV under Grant 20091027, the Spanish MITyC under the erudito.com (TSI-020110-2009-439) project and by the General-itat Valenciana under grant Prometeo/2009/014. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Pattern Analysis and Applications es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Minimum Bayes’ risk es_ES
dc.subject System combination es_ES
dc.subject Statistical machine translation es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Minimum Bayes’ risk subsequence combination for machine translation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10044-014-0387-5
dc.relation.projectID info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Visionm/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-14511/ES/Traduccion De Textos Y Transcripcion De Voz Interactivas/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//20091027/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MITURCO//TSI-020110-2009-0439/ES/ERUDITO.COM/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/ es_ES
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.description.bibliographicCitation Gonzalez Rubio, J.; Casacuberta Nolla, F. (2015). Minimum Bayes’ risk subsequence combination for machine translation. Pattern Analysis and Applications. 18(3):523-533. https://doi.org/10.1007/s10044-014-0387-5 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/s10044-014-0387-5 es_ES
dc.description.upvformatpinicio 523 es_ES
dc.description.upvformatpfin 533 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 18 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 283749 es_ES
dc.identifier.eissn 1433-755X
dc.contributor.funder Ministerio de Educación y Ciencia es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Ministerio de Industria, Turismo y Comercio es_ES
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