Revisiting Simple Domain Adaptation Methods in Unsupervised Neural Machine Translation

Understand

Domain adaptation has been well-studied in supervised neural machine translation (SNMT).

• However, it has not been well-studied for unsupervised neural machine translation (UNMT), although UNMT has recently achieved remarkable results in several domain-specific language pairs.
• Besides the inconsistent domains between training data and test data for SNMT, there sometimes exists an inconsistent domain between two monolingual training data for UNMT.
• In this work, we empirically show different scenarios for unsupervised neural machine translation.