T1: Advances and Challenges in Unsupervised Neural Machine Translation

Rui Wang and Hai Zhao

Live Session 1: Apr 19, Live Session 1: Apr 19 (07:00-08:00 UTC) [Join Zoom Meeting]
Live Session 2: Apr 19, Live Session 2: Apr 19 (13:00-14:00 UTC) [Join Zoom Meeting]
Abstract: Unsupervised cross-lingual language representation initialization methods, together with mechanisms such as denoising and back-translation, have advanced unsupervised neural machine translation (UNMT), which has achieved impressive results. Meanwhile, there are still several challenges for UNMT. This tutorial first introduces the background and the latest progress of UNMT. We then examine a number of challenges to UNMT and give empirical results on how well the technology currently holds up.

Time Event Hosts
Apr 19, (07:00-08:00 UTC) Part 1 Rui Wang and Hai Zhao
Apr 19, (13:00-14:00 UTC) Part 2
Information about the virtual format of this tutorial: This tutorial has slides that you see can anytime (It does not have any prerecorded talk). It will be conducted entirely live on Zoom and will be livestreamed on this page. It has a chat window that you can use to have discussions with the tutorial teachers and other attendees anytime during the conference.