Papers with De-En translation
Monash University’s Submissions to the WNGT 2019 Document Translation Task (D19-56)
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| Challenge: | Despite the boom of work on document-level machine translation in the past two years, there has been a lack of the application of the proposed approaches to MT shared tasks. |
| Approach: | They propose to employ an established document-level neural machine translation model for the shared task of Rotowire document translation organised by the 3rd Workshop on Neural Generation and Translation (WNGT 2019). |
| Outcome: | The proposed model achieves a BLEU score of 39.83 for En-De and 45.06 for De-En translation directions on the Rotowire test set. |