Building a Neural Machine Translation SystemUsing Only Synthetic Parallel Data
Table 4: Translation results (BLEU) for Fr ↔ De experiments evaluated on the newstest 2013 set.
['Corpus', 'Fr → De NMT', 'Fr → De SMT', 'De → Fr NMT', 'De → Fr SMT']
A Comparison with Phrase-based Statistical Machine Translation We also evaluate the effects of the proposed mixing strategy in phrase-based statistical machine translation Koehn et al. We use Moses Koehn et al. A 5-gram Kneser-Ney model is used as the language model. In all experiments, NMT shows higher BLEU (2.44-3.38) compared to the PBSMT setting. We speculate that the deep architecture of NMT provides noise robustness in the synthetic examples. It is also notable that the proposed PSEUDOmix outperforms other synthetic corpora in PBSMT. The results clearly show that the benefit of the mixed composition in synthetic sentence pairs is beyond a specific machine translation framework.