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Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19
2019
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
We describe LMU Munich's machine translation system for English→German translation which was used to participate in the WMT19 shared task on supervised news translation. We specifically participated in the documentlevel MT track. The system used as a primary submission is a context-aware Transformer capable of both rich modeling of limited contextual information and integration of large-scale document-level context with a less rich representation. We train this model by fine-tuning a big
doi:10.18653/v1/w19-5345
dblp:conf/wmt/StojanovskiF19
fatcat:ssuliypx4nf3pemceivc6ggr3q