LIUM's Contributions to the WMT2019 News Translation Task: Data and Systems for German <-> French Language Pairs
FOURTH CONFERENCE ON MACHINE TRANSLATION (WMT 2019)(2019)
摘要
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 on Machine Translation (WMT 2019). The chosen language pair is included for the first time in the WMT news translation task. We describe 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.
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