Papers with explicit cross-lingual training data

1 papers
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers (2023.findings-acl)

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Challenge: despite lack of explicit cross-lingual training data, multilingual models can achieve cross-linguistic transfer.
Approach: They find alignment is significantly correlated with cross-lingual transfer . they advocate for further research on realignment methods for smaller models .
Outcome: The proposed method outperforms XLM-R Large in POS-tagging between English and Arabic by +15.8 accuracy.

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