Papers with English-centric directions

1 papers
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation (2021.acl-long)

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Challenge: Existing multilingual machine translation approaches focus on English-centric directions, while non-English directions lag behind.
Approach: They propose a multilingual machine translation system with an emphasis on non-English directions.
Outcome: The proposed model outperforms existing models on English-centric and non-English directions on multilingual translation benchmarks.

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