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dc.contributor.authorRuiz Costa-Jussà, Marta
dc.contributor.authorEscolano Peinado, Carlos
dc.contributor.authorRodríguez Fonollosa, José Adrián
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2018-03-07T08:48:00Z
dc.date.available2018-03-07T08:48:00Z
dc.date.issued2017
dc.identifier.citationRuiz, M., Escolano, C., Fonollosa, J. A. R. Byte-based neural machine translation. A: Conference on Empirical Methods in Natural Language Processing. "Proceedings of the First Workshop on Subword and Character Level Models in NLP". Stroudsburg, PA: Association for Computational Linguistics, 2017, p. 154-158.
dc.identifier.isbn978-1-945626-91-3
dc.identifier.urihttp://hdl.handle.net/2117/114877
dc.description.abstractThis paper presents experiments compar- ing character-based and byte-based neural machine translation systems. The main motivation of the byte-based neural ma- chine translation system is to build multi- lingual neural machine translation systems that can share the same vocabulary. We compare the performance of both systems in several language pairs and we see that the performance in test is similar for most language pairs while the training time is slightly reduced in the case of byte-based neural machine translation.
dc.format.extent5 p.
dc.language.isoeng
dc.publisherAssociation for Computational Linguistics
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshNeural Networks (Computer)
dc.subject.otherNeural Machine Translation
dc.subject.otherDeep Learning
dc.titleByte-based neural machine translation
dc.typeConference report
dc.subject.lemacTractament del llenguatge natural (Informàtica)
dc.subject.lemacXarxes neuronals (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.relation.publisherversionhttp://www.aclweb.org/anthology/W/W17/W17-4123.pdf
dc.rights.accessOpen Access
local.identifier.drac21891959
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TEC2015-69266-P/ES/TECNOLOGIAS DE APRENDIZAJE PROFUNDO APLICADAS AL PROCESADO DE VOZ Y AUDIO/
local.citation.authorRuiz, M.; Escolano, C.; Fonollosa, José A. R.
local.citation.contributorConference on Empirical Methods in Natural Language Processing
local.citation.pubplaceStroudsburg, PA
local.citation.publicationNameProceedings of the First Workshop on Subword and Character Level Models in NLP
local.citation.startingPage154
local.citation.endingPage158


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