@inproceedings{iranzo-sanchez-etal-2018-mllp,
title = "The {MLLP}-{UPV} {G}erman-{E}nglish Machine Translation System for {WMT}18",
author = "Iranzo-S{\'a}nchez, Javier and
Baquero-Arnal, Pau and
Garc{\'e}s D{\'\i}az-Mun{\'\i}o, Gon{\c{c}}al V. and
Mart{\'\i}nez-Villaronga, Adri{\`a} and
Civera, Jorge and
Juan, Alfons",
booktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers",
month = oct,
year = "2018",
address = "Belgium, Brussels",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6414",
doi = "10.18653/v1/W18-6414",
pages = "418--424",
abstract = "This paper describes the statistical machine translation system built by the MLLP research group of Universitat Polit{\`e}cnica de Val{\`e}ncia 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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%0 Conference Proceedings
%T The MLLP-UPV German-English Machine Translation System for WMT18
%A Iranzo-Sánchez, Javier
%A Baquero-Arnal, Pau
%A Garcés Díaz-Munío, Gonçal V.
%A Martínez-Villaronga, Adrià
%A Civera, Jorge
%A Juan, Alfons
%S Proceedings of the Third Conference on Machine Translation: Shared Task Papers
%D 2018
%8 oct
%I Association for Computational Linguistics
%C Belgium, Brussels
%F iranzo-sanchez-etal-2018-mllp
%X 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.
%R 10.18653/v1/W18-6414
%U https://aclanthology.org/W18-6414
%U https://doi.org/10.18653/v1/W18-6414
%P 418-424
Markdown (Informal)
[The MLLP-UPV German-English Machine Translation System for WMT18](https://aclanthology.org/W18-6414) (Iranzo-Sánchez et al., 2018)
ACL
- Javier Iranzo-Sánchez, Pau Baquero-Arnal, Gonçal V. Garcés Díaz-Munío, Adrià Martínez-Villaronga, Jorge Civera, and Alfons Juan. 2018. The MLLP-UPV German-English Machine Translation System for WMT18. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 418–424, Belgium, Brussels. Association for Computational Linguistics.