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Interlingua based neural machine translation
dc.contributor | Rodríguez Fonollosa, José Adrián |
dc.contributor | Ruiz Costa-Jussà, Marta |
dc.contributor | Padró, Lluís |
dc.contributor.author | Escolano Peinado, Carlos |
dc.date.accessioned | 2018-09-29T09:26:48Z |
dc.date.available | 2018-09-29T09:26:48Z |
dc.date.issued | 2018-06-27 |
dc.identifier.uri | http://hdl.handle.net/2117/121672 |
dc.description.abstract | We propose a machine translation architecture based on autoencoders and a shared interlingua representation that produce comparable results to state of the art systems. Also we define evaluation and visualization strategies as metrics of the performance of the architecture. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Neural networks (Computer science) |
dc.subject.lcsh | Machine learning |
dc.subject.other | deep learning |
dc.subject.other | autoencoders |
dc.subject.other | machine translation |
dc.title | Interlingua based neural machine translation |
dc.type | Master thesis |
dc.subject.lemac | Xarxes neuronals (Informàtica) |
dc.subject.lemac | Aprenentatge automàtic |
dc.identifier.slug | 134305 |
dc.rights.access | Open Access |
dc.date.updated | 2018-06-30T04:00:49Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2017) |
dc.contributor.covenantee | Universitat de Barcelona |
dc.contributor.covenantee | Universitat Rovira i Virgili |