Iterative Dual Domain Adaptation for Neural Machine Translation
Table 2: Experimental results of comparing IDDA with its two variants.
['[BOLD] Model', 'Ave.']
We can see that our framework exhibits better performance than its two variants, which demonstrates that dual domain adaptation enables NMT models of two domains to benefit from each other, and updating teacher models is more helpful to retain useful translation knowledge.