The University of Maryland's Chinese-English Neural Machine Translation Systems at WMT18
This paper describes the University of Maryland{'}s submission to the WMT 2018 Chinese↔English news translation tasks. Our systems are BPE-based self-attentional Transformer networks with parallel and backtranslated monolingual training data. Using ensembling and reranking, we improve over the Transformer baseline by +1.4 BLEU for Chinese→English and +3.97 BLEU for English→Chinese on \textit{newstest2017}. Our best systems reach BLEU scores of 24.4 for Chinese→English and 39.0 for English→Chinese on \textit{newstest2018}.
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