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Cross Lingual Bitext Mining On Bucc German To
Metrics
F1 score
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| Massively Multilingual Sentence Embeddings | 96.19 | Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond | |
| Multilingual Sentence Embeddings | 95.58 | Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings | |
| Monolingual training data | 76.9 | Improving Neural Machine Translation Models with Monolingual Data |
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