Cross-Language Text Summarization

Cross-language text summarization (CLTS) is a subfield of natural language processing that aims to leverage data and models from resource-rich languages (such as English) to address text summarization tasks in resource-poor languages. This technology enhances the quality of summary generation for low-resource languages through cross-lingual transfer learning, facilitating the effective dissemination and understanding of multilingual information, which holds significant application value.