LIUM's Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs
2019-08-01WS 2019Unverified0· sign in to hype
Fethi Bougares, Jane Wottawa, Anne Baillot, Lo{\"\i}c Barrault, Adrien Bardet
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
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.