Abstract
This paper describes the Air Force Research Laboratory (AFRL) machine translation systems and the improvements that were developed during the WMT19 evaluation campaign. This year, we refine our approach to training popular neural machine translation toolkits, experiment with a new domain adaptation technique and again measure improvements in performance on the Russian-English language pair.
Cite
CITATION STYLE
Gwinnup, J., Erdmann, G., & Anderson, T. (2019). The AFRL WMT19 systems: Old favorites and new tricks. In WMT 2019 - 4th Conference on Machine Translation, Proceedings of the Conference (Vol. 2, pp. 203–208). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w19-5318
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