Papers with WMT task

1 papers
From Bilingual to Multilingual Neural Machine Translation by Incremental Training (P19-2)

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Challenge: Existing approaches to multilingual neural machine translation are based on task specific models and the addition of one more language is only possible by retraining the whole system.
Approach: They propose a training schedule that scales to more languages without modification of previous components.
Outcome: The proposed training schedule shows close results to state-of-the-art in the WMT task.

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