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cs.CL2023
xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages
Mingda Chen, Kevin Heffernan, Onur Çelebi +2
We introduce a new proxy score for evaluating bitext mining based on similarity in a multilingual embedding space: xSIM++. In comparison to xSIM, this improved proxy leverages rule…
cs.CL2022★ 8 cited
Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages
Kevin Heffernan, Onur Çelebi, Holger Schwenk
Scaling multilingual representation learning beyond the hundred most frequent languages is challenging, in particular to cover the long tail of low-resource languages. A promising…