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Data augmentation using back translation for context aware neural machine translation

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Figure

Figure 1:Overview of the data augmentation forcontext-aware NMT (Japanese to English in this case).
Table 1: Statistics of IWSLT2017 corpora: the number of sentence pairs and the average length (number of tokensper sentence) for the train / dev / test portions.
Table 6: Results of 2-to-2 models on the en→fr spe-cialized test sets (accuracy in %).
Table 8: Example of translated sentences; zero pronoun Φ3 is successfully restored in by the 2-to-2 model trainedusing 2M pseudo data

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