To remedy this problem, we propose an unsupervised adaptation method which finetunes a pre-trained out-of-domain NMT model using a pseudo-in-domain corpus.
we perform lexicon induction to extract an in-domain lexicon, and construct a pseudo-parallel in-domain corpus by performing word-for-word back-translation of monolingual in-domain target sentences.