Abstract:Multilingual pre-trained models exhibit zeroshot cross-lingual transfer, where a model finetuned on a source language achieves surprisingly good performance on a target language. While studies have attempted to understand transfer, they focus only on MLM, and the large number of differences between natural languages makes it hard to disentangle the importance of different properties. In this work, we specifically highlight the importance of word embedding alignment by proposing a pretraining objective (ALIGN-M… Show more
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