From English to Code-Switching: Transfer Learning with Strong Morphological Clues (2020.acl-main)
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| Challenge: | Linguistic code-switching (CS) is an understudied area in natural language processing . lack of resources and annotated data makes it difficult to strive for progress in CS-related tasks. |
| Approach: | They propose a method to adapt monolingual models to code-switched text in various tasks . they transfer English knowledge from a pre-trained ELMo model to different code-paired languages . |
| Outcome: | The proposed method outperforms multilingual BERT and homologous CS-unaware models and provides state-of-the-art in CS tasks. |
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