Domain specialization: a post-training domain adaptation for Neural Machine Translation

Understand

Domain adaptation is a key feature in Machine Translation.

• It generally encompasses terminology, domain and style adaptation, especially for human post-editing workflows in Computer Assisted Translation (CAT).
• With Neural Machine Translation (NMT), we introduce a new notion of domain adaptation that we call "specialization" and which is showing promising results both in the learning speed and in adaptation accuracy.
• In this paper, we propose to explore this approach under several perspectives.