Papers with language specific parameterization

1 papers
Contextual Parameter Generation for Universal Neural Machine Translation (D18-1)

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Challenge: Existing approaches to multilingual neural machine translation lack language-specific parameterization.
Approach: They propose a modification to existing neural machine translation models that allows for language specific parameterization and domain adaptation.
Outcome: The proposed model surpasses state-of-the-art for both the IWSLT-15 and IWSTL-17 datasets and can perform zero-shot translation.

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