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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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