Papers by Ziang Song

1 papers
Learn To Remember: Transformer with Recurrent Memory for Document-Level Machine Translation (2022.findings-naacl)

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Challenge: Recent studies have shown that the effective use of contextual information between sentences can achieve better performance in document-level machine translation.
Approach: They propose a recurrent memory unit to the Transformer to support the information exchange between the sentence and previous context.
Outcome: The proposed model outperforms the previous work on TED and News by 0.91 s-BLEU and 1.49 d-BLUE on average.

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