The underlying assumption of these approaches is that in-domain and out-ofdomain NMT models share the same parameter space or prior distributions, and the useful out-ofdomain translation knowledge can be completely transferred to in-domain NMT model in a onepass manner.
it is difficult to achieve this goal due to domain differences.