Researchers at Apple developed a method to transfer knowledge from high-resource to low-resource languages without needing large parallel datasets. The approach uses lexical interventions to bridge the gap during training. This removes the need for expensive translation systems. Practitioners can now build more capable models for underserved languages with less data.