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Low-Resource Language Modeling

#nlp #machine-learning #data-science

Strategy for building NLP models for languages with minimal data.

Act as a Lead NLP Researcher. Outline a strategy to build a high-performing translation model for a low-resource language with less than 5MB of available parallel text. Discuss techniques such as cross-lingual transfer learning, back-translation, and data augmentation. Explain how you would evaluate the model without a standard test set.