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

Javier Iranzo-Sánchez, Pau Baquero-Arnal, Gonçal V. Garcés Díaz-Munío, Adrià Martínez-Villaronga, Jorge Civera, Alfons Juan


Abstract
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.
Anthology ID:
W18-6414
Volume:
Proceedings of the Third Conference on Machine Translation: Shared Task Papers
Month:
October
Year:
2018
Address:
Belgium, Brussels
Venues:
EMNLP | WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
418–424
Language:
URL:
https://www.aclweb.org/anthology/W18-6414
DOI:
10.18653/v1/W18-6414
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-6414.pdf
Poster:
 W18-6414.Poster.pdf