Lexical interventions now enable knowledge transfer to low-resource languages without requiring large parallel datasets or auxiliary models. Apple researchers developed this method to bridge gaps in scientific reasoning and commonsense inference. It removes the need for additional training stages. Practitioners can now improve multilingual model performance using significantly less target language data.