Fourth Workshop on Discourse in Machine Translation (DiscoMT 2019)

Invited speaker: Prof. Qun Liu (Noah's Ark Lab, Huawei - Hong Kong, China)

9:00–9:05 Welcome
9:05–9:50 Session 1: Keynote Talk, Room AWE 201A
Document-level Machine Translation: the Current State and the Challenges
Professor Qun Liu, Noah’s Ark Lab, Huawei
9:50–10:30 Session 2: Poster Spotlights, Room AWE 201A
Coffee Break
11:00–12:30 Session 3: Posters, Hall AWE 2F Foyer
Analysing Coreference in Transformer Outputs
Ekaterina Lapshinova-Koltunski, Cristina España-Bonet and Josef van Genabith
Context-Aware Neural Machine Translation Decoding
Eva Martínez Garcia, Carles Creus and Cristina España-Bonet
When and Why is Document-level Context Useful in Neural Machine Translation?
Yunsu Kim, Duc Thanh Tran and Hermann Ney
Data augmentation using back-translation for context-aware neural machine translation
Amane Sugiyama and Naoki Yoshinaga
Context-aware Neural Machine Translation with Coreference Information
Takumi Ohtani, Hidetaka Kamigaito, Masaaki Nagata and Manabu Okumura
Analysing concatenation approaches to document-level NMT in two different domains
Yves Scherrer, Jörg Tiedemann and Sharid Loáiciga
Additional invited posters from the main conference