Fast Domain Adaptation for Neural Machine Translation
Table 7: Human evaluation on a 50 sentence Chinese→English in-domain sample. The annotator assigns each sentence a score between 0-5 (higher is better).
['[EMPTY]', '0', '1', '2', '3', '4', '5', 'Avg']
Human judgment was performed (cf. As in the German→English case, the annotator assigns a (0-5) score to each translation. Both, the continue as well as the ensemble of the baseline with the continue model outperforms the baseline model. Furthermore, the ensemble of the continue model with the baseline model outperforms the continue training on its own.