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What makes multilingual BERT multilingual?

2020-10-20 05:41:56
Chi-Liang Liu, Tsung-Yuan Hsu, Yung-Sung Chuang, Hung-yi Lee
arXiv_CL
     
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.

Abstract (translated)

URL

https://arxiv.org/abs/2010.10938

PDF

https://arxiv.org/pdf/2010.10938.pdf

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