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Normalization and Back-Transliteration for Code-Switched Data
Code-switching is an omnipresent phenomenon in multilingual communities all around the world but remains a challenge for NLP systems due to the lack of proper data and processing techniques.
Targeted Multilingual Adaptation for Low-resource Language Families
To test this approach more rigorously, we systematically study best practices for adapting a pre-trained model to a language family.
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