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20222024
most citedBitext Mining Using Distilled Sentence Representations for Low-Resource Languages

8 citations · 9 across the 2 of their papers we have counts for

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cs.CL2023★ 1 cited

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…