LIUM’s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs

Fethi Bougares, Jane Wottawa, Anne Baillot, Loïc Barrault, Adrien Bardet


Abstract
This paper describes the neural machine translation (NMT) systems of the LIUM Laboratory developed for the French↔German news translation task of the Fourth Conference onMachine Translation (WMT 2019). The chosen language pair is included for the first time in the WMT news translation task. We de-scribe how the training and the evaluation data was created. We also present our participation in the French↔German translation directions using self-attentional Transformer networks with small and big architectures.
Anthology ID:
W19-5307
Volume:
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
129–133
Language:
URL:
https://www.aclweb.org/anthology/W19-5307
DOI:
10.18653/v1/W19-5307
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-5307.pdf