Papers with agreement-based method

1 papers
Multilingual Agreement for Multilingual Neural Machine Translation (2021.acl-short)

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Challenge: Existing models that only use auxiliary languages to encourage multilingual agreement ignore the relationships between different language pairs.
Approach: They propose a multilingual agreement-based method which explicitly models the agreement between different translation directions by randomly substituting some fragments of the source language with their counterpart translations of auxiliary languages.
Outcome: The proposed method improves on the multilingual translation task of 10 language pairs.

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