Papers with downstream BLEU scores

1 papers
xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages (2023.acl-short)

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Challenge: xsim++ provides a reliable proxy for bitext mining without expensive pipelines.
Approach: They propose a new proxy proxy based on similarity in a multilingual embedding space . they validate this proxy by running a significant number of bitext mining experiments for a set of low-resource languages and then train NMT systems on the mined data.
Outcome: The proposed proxy improves on xsim++ and trains on the mined data.

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