Papers with multilingual masked language model

1 papers
Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure (2022.acl-long)

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Challenge: Multilingual pre-trained language models have shown impressive cross-lingual ability.
Approach: They argue that cross-language ability comes from commonality between languages . they create an artificial language by modifying property in source language .
Outcome: The proposed model can be implemented in multilingual and low-resource language scenarios without cross-lingual supervision or aligned data.

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