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Bitext Mining on BUCC 4 languages

Bitext Mining on BUCC 4 languages

98.93BUCC F1MEXMA

Updated 8mo ago

Evaluation results

Method	Links
MEXMA2024.09		98.93
LaBSE2024.09		98.75
DAP2024.09		98.68
SONAR2024.09		98.25

State-of-the-art paper

MEXMA

MEXMA: Token-level objectives improve sentence representations

Dataset

BUCC

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Related benchmarks

Pair Classification on MTEB (test)Bitext Mining on FLORES-200 34 languages Bitext Mining (with hard negatives) on FLORES-200 34 languages Semantic Textual Similarity on MTEB (test)Single Sentence Classification on SentEval

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