XLM-E: Cross-lingual Language Model Pre-training via ELECTRA

Zewen Chi; Shaohan Huang; Li Dong; Shuming Ma; Bo Zheng; Saksham Singhal; Payal Bajaj; Xia Song; Xian-Ling Mao; Heyan Huang; Furu Wei

arXiv · 2106.16138

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA

Zewen Chi·Shaohan Huang·Li Dong·Shuming Ma·Bo Zheng·Saksham Singhal·Payal Bajaj·Xia Song·Xian-Ling Mao·Heyan Huang·Furu Wei

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Abstract

In this paper, we introduce ELECTRA-style tasks to cross-lingual language model pre-training. Specifically, we present two pre-training tasks, namely multilingual replaced token detection, and translation replaced token detection. Besides, we pretrain the model, named as XLM-E, on both multilingual and parallel corpora. Our model outperforms the baseline models on various cross-lingual understanding tasks with much less computation cost. Moreover, analysis shows that XLM-E tends to obtain better cross-lingual transferability.

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Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Bo Zheng, Saksham Singhal, Payal Bajaj, Xia Song, Xian-Ling Mao, Heyan Huang, Furu Wei. 2021-06-30. XLM-E: Cross-lingual Language Model Pre-training via ELECTRA. https://arxiv.org/abs/2106.16138

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