Similarly, we expect that ZP prediction and translation could interact with each other: prediction offers more ZP information beyond 1-best result to translation and translation helps prediction resolve ambiguity.
we first cast ZP prediction as a sequence labeling task with a neural model, which is trained jointly with a standard neural machine translation (NMT) model in an end-to-end manner.