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

• URL: http://arxiv.org/abs/2106.16138v1
• Date: Wed, 30 Jun 2021 15:45:07 GMT
• Title: XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
• Authors: Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Saksham Singhal, Payal Bajaj, Xia Song, Furu Wei
• Abstract summary: 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 cost.
• Score: 46.80613153602189
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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