Previous work in the context of phrase-based statistical machine translation (Daumé III and Jagarlamudi, 2011) has noted that unseen (OOV) words account for a large portion of translation errors when switching to new domains.
this problem of OOV words in cross-domain transfer is under-examined in the context of NMT, where both training methods and experimental results will differ greatly.