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dc.contributor.author | Gonzalez Rubio, Jesus | es_ES |
dc.contributor.author | Casacuberta Nolla, Francisco | es_ES |
dc.date.accessioned | 2016-05-19T09:31:05Z | |
dc.date.available | 2016-05-19T09:31:05Z | |
dc.date.issued | 2015-06-09 | |
dc.identifier.isbn | 978-3-319-19389-2 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/10251/64367 | |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19390-8_25 | es_ES |
dc.description.abstract | We study the application of minimum description length (MDL) inference to estimate pattern recognition models for machine translation. MDL is a theoretically-sound approach whose empirical results are however below those of the state-of-the-art pipeline of training heuristics. We identify potential limitations of current MDL procedures and provide a practical approach to overcome them. Empirical results support the soundness of the proposed approach. | es_ES |
dc.description.sponsorship | Work supported by the EU 7th Framework Programme (FP7/2007–2013) under the CasMaCat project (grant agreement no 287576), by Spanish MICINN under grant TIN2012-31723, and by the Generalitat Valenciana under grant ALMPR (Prometeo/2009/014). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer International Publishing | es_ES |
dc.relation.ispartof | Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015, Santiago de Compostela, Spain, June 17-19, 2015, Proceedings | es_ES |
dc.relation.ispartofseries | Lecture Notes in Computer Science;9117 | |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Pattern recognition | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Improving the minimum description length inference of phrase-based translation models | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.identifier.doi | 10.1007/978-3-319-19390-8 25 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/287576/EU/Cognitive Analysis and Statistical Methods for Advanced Computer Aided Translation/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2012-31723/ES/INTERACCION ACTIVA PARA TRANSCRIPCION DE HABLA Y TRADUCCION/ | 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). Improving the minimum description length inference of phrase-based translation models. En Pattern Recognition and Image Analysis: 7th Iberian Conference, IbPRIA 2015, Santiago de Compostela, Spain, June 17-19, 2015, Proceedings. Springer International Publishing. 219-227. https://doi.org/10.1007/978-3-319-19390-8 25 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://link.springer.com/chapter/10.1007/978-3-319-19390-8_25 | es_ES |
dc.description.upvformatpinicio | 219 | es_ES |
dc.description.upvformatpfin | 227 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.senia | 290796 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad |