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arXiv · 2010.10938

What makes multilingual BERT multilingual?

Chi-Liang Liu·Tsung-Yuan Hsu·Yung-Sung Chuang·Hung-yi Lee
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Abstract

Recently, multilingual BERT works remarkably well on cross-lingual transfer tasks, superior to static non-contextualized word embeddings. In this work, we provide an in-depth experimental study to supplement the existing literature of cross-lingual ability. We compare the cross-lingual ability of non-contextualized and contextualized representation model with the same data. We found that datasize and context window size are crucial factors to the transferability.

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Chi-Liang Liu, Tsung-Yuan Hsu, Yung-Sung Chuang, Hung-yi Lee. 2020-10-20. What makes multilingual BERT multilingual?. https://arxiv.org/abs/2010.10938

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