Papers by Yubing Ge

1 papers
Iterative Dual Domain Adaptation for Neural Machine Translation (D19-1)

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Challenge: Empirical results on Chinese-English and English-German translation tasks demonstrate the effectiveness of our proposed framework.
Approach: They propose an iterative dual domain adaptation framework for neural machine translation that uses multiple corpora to perform bidirectional translation knowledge transfer.
Outcome: Empirical results on Chinese-English and English-German translation tasks demonstrate the effectiveness of the proposed framework.

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