Cross-lingual transfer success is best predicted by syntactic similarity for POS tagging and parsing, by trigram overlap for n-gram topic models, and by mBERT pretraining coverage for mBERT-based topic models.
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Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter
Cross-lingual transfer success is best predicted by syntactic similarity for POS tagging and parsing, by trigram overlap for n-gram topic models, and by mBERT pretraining coverage for mBERT-based topic models.