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papersSEP 10 04:00 UTC

SALT Method Improves Token-Level Representations in Cross-Lingual Sentence Encoders

A new arXiv paper introduces SALT, a technique for strengthening how individual tokens are represented within multilingual sentence encoders. These encoders are optimized to align whole sentences across many languages, supporting applications like translation mining and zero-shot learning for low-resource languages. The paper targets the weaker token-level alignment that results from this sentence-focused training.

arXiv SALT cross-lingual-sentence-encoders low-resource-languages token-level-alignment zero-shot learning

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AIImproving Cross-Lingual Token Representations by Adding a Pinch of SALT ↗SEP 10 04:00 UTC

arXiv cs.CLImproving Cross-Lingual Token Representations by Adding a Pinch of SALT ↗SEP 10 04:00 UTC