Domain specialization: a post-training domain adaptation for Neural Machine Translation
Table 2: BLEU score of full trained systems.
['Models', 'BLEU', 'TER']
As a baseline, we fully trained five systems, one with the generic data (generic) and the other with generic and various amount of in-domain data: 500 lines (emea-0.5K), 5K lines (emea-5K) and 50K lines (emea-50K). Without surprises, the more the model is trained with in-domain data the more BLEU and TER scores are improved. These models are baselines in incremental adaptation experiments.