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The MLLP-UPV German-English Machine Translation System for WMT18

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The MLLP-UPV German-English Machine Translation System for WMT18

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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

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Title: The MLLP-UPV German-English Machine Translation System for WMT18
Author: Iranzo-Sánchez, Javier Baquero-Arnal, Pau Garcés Díaz-Munío, Gonçal Martínez-Villaronga, Adrià Civera Saiz, Jorge Juan, Alfons
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[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 ...[+]
Subjects: Machine translation , Neural machine translation , Data selection
Copyrigths: Reconocimiento (by)
ISBN: 978-1-948087-81-0
Source:
Proceedings of the Third Conference on Machine Translation: Shared Task Papers.
DOI: 10.18653/v1/W18-6414
Publisher:
Association for Computational Linguistics (ACL)
Publisher version: https://doi.org/10.18653/v1/W18-6414
Conference name: Third Conference on Machine Translation (WMT 2018)
Conference place: Brussels, Belgium
Conference date: Octubre 31-Noviembre 01,2018
Project ID:
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//PAID-01-17/
info:eu-repo/grantAgreement/MECD//FPU13%2F06241/ES/FPU13%2F06241/
info:eu-repo/grantAgreement/GVA//ACIF%2F2017%2F055/ES/ACIF%2F2017%2F055/
MINISTERIO DE ECONOMIA Y EMPRESA/TIN2015-68326-R
Description: 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.
Thanks:
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 ...[+]
Type: Comunicación en congreso Capítulo de libro

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