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dc.contributor.author | Domingo-Ballester, Miguel | es_ES |
dc.contributor.author | García-Martínez, Mercedes | es_ES |
dc.contributor.author | Estela, Amando | es_ES |
dc.contributor.author | Bié, Laurent | es_ES |
dc.contributor.author | Helle, Alexandre | es_ES |
dc.contributor.author | Peris, Álvaro | es_ES |
dc.contributor.author | Casacuberta Nolla, Francisco | es_ES |
dc.contributor.author | Herranz, Manuel | es_ES |
dc.date.accessioned | 2022-02-17T07:20:58Z | |
dc.date.available | 2022-02-17T07:20:58Z | |
dc.date.issued | 2019-08-02 | es_ES |
dc.identifier.isbn | 978-1-950737-50-5 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/180931 | |
dc.description.abstract | [EN] We introduce a demonstration of our system, which implements online learning for neural machine translation in a production environment. These techniques allow the system to continuously learn from the corrections provided by the translators. We implemented an end-to-end platform integrating our machine translation servers to one of the most common user interfaces for professional translators: SDL Trados Studio. Our objective was to save post-editing effort as the machine is continuously learning from human choices and adapting the models to a specific domain or user style. | es_ES |
dc.description.sponsorship | The research leading to these results has received funding from the Spanish Centre for Technological and Industrial Development (Centro para el Desarrollo Tecnologico Industrial) (CDTI) and ¿ the European Union through Programa Operativo de Crecimiento Inteligente (Project IDI20170964). We gratefully acknowledge the support of NVIDIA Corporation with the donation of a GPU used for part of this research. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Association for Computational Linguistics | es_ES |
dc.relation.ispartof | Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.subject.classification | CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL | es_ES |
dc.title | Demonstration of a Neural Machine Translation System with Online Learning for Translators | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/CDTI//IDI-20170964//Programa Operativo de Crecimiento Inteligente/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Lingüística Aplicada - Departament de Lingüística Aplicada | 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 | Domingo-Ballester, M.; García-Martínez, M.; Estela, A.; Bié, L.; Helle, A.; Peris, Á.; Casacuberta Nolla, F.... (2019). Demonstration of a Neural Machine Translation System with Online Learning for Translators. Association for Computational Linguistics. 70-74. http://hdl.handle.net/10251/180931 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) | es_ES |
dc.relation.conferencedate | Julio 28-Agosto 02,2019 | es_ES |
dc.relation.conferenceplace | Florence, Italy | es_ES |
dc.relation.publisherversion | https://aclanthology.org/ | es_ES |
dc.description.upvformatpinicio | 70 | es_ES |
dc.description.upvformatpfin | 74 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | S\393967 | es_ES |
dc.contributor.funder | Centro para el Desarrollo Tecnológico Industrial | es_ES |