Pivot-based Transfer Learning for Neural Machine Translationbetween Non-English Languages
Table 6: Results fine-tuned with a combination of source-target parallel data and large synthetic data. French→German task used larger real parallel data than Table 2.
['[EMPTY]', 'French→German newstest2012', 'French→German newstest2012', 'French→German newstest2013', 'French→German newstest2013', 'German→Czech newstest2012', 'German→Czech newstest2012', 'German→Czech newstest2013', 'German→Czech newstest2013']
The real source-target parallel data are oversampled to make the ratio of real and synthetic data to be 1:2. As expected, the direct source→target model can be improved considerably by training with large synthetic data.