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From Research to Production and Back: Ludicrously Fast Neural Machine Translation

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Figure

Table 1: Effects of noisy backward-forward translation(NBFT) and Multi-Agent Dual Learning on teacher-
Figure 1tion of student architectures explored for the previ- provides an overview about the evolu-ous shared task, as Microsoft in-production models
Figure 2: Relative speed improvements for fastest Marian models of comparable or better quality than submis-sions to WNMT2018 on newstest2014
Figure 3: Pareto frontier for cost-effectiveness vs BLEU for all submissions (ours and other participants) from2018 and 2019 on newstest2014 as reported by the organizers

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