Brown University Researchers Propose LexC-Gen: A New Artificial Intelligence Method that Generates Low-Resource-Language Classification Task Data at Scale

Data scarcity in low-resource languages can be mitigated using word-to-word translations from high-resource languages. However, bilingual lexicons typically need more overlap with task data, leading to inadequate translation coverage. Extremely low-resource languages need more labeled data, widening the gap in NLP progress compared to high-resource languages.  Lexicon-based cross-lingual data augmentation involves swapping words in high-resource […]

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