Papers with cross-lingual and cross-modal knowledge transfer

1 papers
Improving Language and Modality Transfer in Translation by Character-level Modeling (2025.acl-long)

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Challenge: Current translation systems cover only 5% of the world's languages . expanding to the long-tail of low-resource languages requires data-efficient methods that rely on cross-lingual and cross-modal knowledge transfer.
Approach: They propose a character-based approach to improve adaptability to new languages and modalities by using a teacher-student approach and parallel translation data to obtain a SONAR character-level encoder.
Outcome: The proposed model outperforms subword-based models in speech-to-text translation on the FLEURS benchmark on 33 languages and achieves state-of-the-art generalizability to unseen languages.

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