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

Code

• github.com/pwc-1/Paper-9/tree/main/1/xlm
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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.

Tasks

Reproductions