UNKs Everywhere: Adapting Multilingual Language Models to New Scripts.
EMNLP 2021
Pages: 10186 - 10203
Published: Aug 26, 2021
Abstract
Massively multilingual language models such as multilingual BERT offer state-of-the-art cross-lingual transfer performance on a range of NLP tasks. However, due to limited capacity and large differences in pretraining data sizes, there is a profound performance gap between resource-rich and resource-poor target languages. The ultimate challenge is dealing with under-resourced languages not covered at all by the models and written in scripts...
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