Cross Lingual Transfer

Cross-lingual transfer refers to the use of data and models from resource-rich languages (such as English) to address natural language processing tasks in resource-scarce languages through transfer learning techniques. Its goal is to improve the performance of models for low-resource languages, reduce dependence on annotated data, and enhance the overall efficiency and generalization capabilities of multilingual systems. Cross-lingual transfer has significant application value in promoting linguistic diversity, enhancing international communication, and advancing the development of multilingual technologies.