Modeling 200 languages: Meta AI researchers have developed a Sparse Mixture-of-Experts model that has a shared and specialized capacity, so low-resource languages without much data can be automatically routed to the shared capacity. Combined with better regularization systems, this avoids overfitting. We also used self-supervised learning and large-scale data augmentation through multiple types of back-translation. Learn more about what’s behind our inclusive language translation models: https:/
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