Scheduled Multi-task Learning for Neural Chat Translation. (arXiv:2205.03766v2 [cs.CL] UPDATED)

Neural Chat Translation (NCT) aims to translate conversational text into
different languages. Existing methods mainly focus on modeling the bilingual
dialogue characteristics (e.g., coherence) to improve chat translation via
multi-task learning on small-scale chat translation data. Although the NCT
models have achieved impressive success, it is still far from satisfactory due
to insufficient chat translation data and simple joint training manners. To
address the above issues, we propose a scheduled multi-task learning framework
for NCT. Specifically, we devise a three-stage …

arxiv chat learning multi-task learning translation