What makes multilingual BERT multilingual?

• URL: http://arxiv.org/abs/2010.10938v1
• Date: Tue, 20 Oct 2020 05:41:56 GMT
• Title: What makes multilingual BERT multilingual?
• Authors: Chi-Liang Liu and Tsung-Yuan Hsu and Yung-Sung Chuang and Hung-yi Lee
• Abstract summary: 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.
• Score: 60.9051207862378
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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