University of Tartu's Multilingual Multi-domain WMT19 News Translation Shared Task Submission
2019-08-01WS 2019Unverified0· sign in to hype
Andre T{\"a}ttar, Elizaveta Korotkova, Mark Fishel
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This paper describes the University of Tartu's submission to the news translation shared task of WMT19, where the core idea was to train a single multilingual system to cover several language pairs of the shared task and submit its results. We only used the constrained data from the shared task. We describe our approach and its results and discuss the technical issues we faced.