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
10:30–11:00	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