Iranzo-Sánchez, J.; Baquero-Arnal, P.; Garcés Díaz-Munío, G.; Martínez-Villaronga, A.; Civera Saiz, J.; Juan, A. (2018). The MLLP-UPV German-English Machine Translation System for WMT18. Association for Computational Linguistics (ACL). 418-424. https://doi.org/10.18653/v1/W18-6414
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/166555
Título:
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The MLLP-UPV German-English Machine Translation System for WMT18
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Autor:
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Iranzo-Sánchez, Javier
Baquero-Arnal, Pau
Garcés Díaz-Munío, Gonçal
Martínez-Villaronga, Adrià
Civera Saiz, Jorge
Juan, Alfons
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Entidad UPV:
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Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
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Fecha difusión:
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Resumen:
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[EN] This paper describes the statistical machine translation system built by the MLLP research group of Universitat Politècnica de València for the German¿English news translation shared task of the EMNLP 2018 Third ...[+]
[EN] This paper describes the statistical machine translation system built by the MLLP research group of Universitat Politècnica de València for the German¿English news translation shared task of the EMNLP 2018 Third Conference on Machine Translation (WMT18). We used an ensemble of Transformer architecture¿based neural machine translation systems. To train our system under ¿constrained¿ conditions, we filtered the provided parallel data with a scoring technique using character-based language models, and we added parallel data based on synthetic source sentences generated from the provided monolingual corpora.
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Palabras clave:
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Machine translation
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Neural machine translation
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Data selection
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Derechos de uso:
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Reconocimiento (by)
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ISBN:
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978-1-948087-81-0
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Fuente:
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Proceedings of the Third Conference on Machine Translation: Shared Task Papers.
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DOI:
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10.18653/v1/W18-6414
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Editorial:
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Association for Computational Linguistics (ACL)
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Versión del editor:
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https://doi.org/10.18653/v1/W18-6414
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Título del congreso:
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Third Conference on Machine Translation (WMT 2018)
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Lugar del congreso:
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Brussels, Belgium
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Fecha congreso:
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Octubre 31-Noviembre 01,2018
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Código del Proyecto:
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info:eu-repo/grantAgreement/EC/H2020/761758/EU/X5gon: Cross Modal, Cross Cultural, Cross Lingual, Cross Domain, and Cross Site Global OER Network/
info:eu-repo/grantAgreement/UPV/Programa PAID de Apoyo a la I+D+i/PAID-01-17/ES/Ayudas para Contratos de Acceso de personal investigador doctor en estructuras de investigación de la Universitat Politècnica de València
info:eu-repo/grantAgreement/MECD/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 en I+D+i/FPU13%2F06241/ES/Ayudas para la formación de profesorado universitario de los subprogramas de Formación y Movilidad
info:eu-repo/grantAgreement/GVA//ACIF%2F2017%2F055/ES/Subvenciones para la contratación de personal investigador de carácter predoctoral
info:eu-repo/grantAgreement/MINECO//TIN2015-68326-R/ES/RECURSOS MULTILINGUES ABIERTOS PARA EDUCACION
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Descripción:
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ACL materials are Copyright © 1963-2021 ACL; other materials are copyrighted by their respective copyright holders. Materials prior to 2016 here are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License. Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.
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Agradecimientos:
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The research leading to these results has received
funding from the European Union's Horizon 2020
research and innovation programme under grant
agreement no. 761758 (X5gon); the Spanish government's TIN2015-68326-R ...[+]
The research leading to these results has received
funding from the European Union's Horizon 2020
research and innovation programme under grant
agreement no. 761758 (X5gon); the Spanish government's TIN2015-68326-R (MINECO/FEDER)
research project MORE, university collaboration grant programme 2017-2018, and faculty
training scholarship FPU13/06241; the Generalitat Valenciana's predoctoral research scholarship ACIF/2017/055; as well as the Universitat
Politecnica de València's PAID-01-17 R&D support programme.
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Tipo:
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Comunicación en congreso
Capítulo de libro
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