Research on Tibetan-Chinese cross-linguistic summarization

Han Liu; Yiqing Wang

doi:10.1117/12.2656750

20 October 2022 Research on Tibetan-Chinese cross-linguistic summarization

Han Liu, Yiqing Wang

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124513L (2022) https://doi.org/10.1117/12.2656750
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

Cross-lingual summarization (CLS) is the task of generating summaries in one specific language for source documents in different languages. Existing methods simply divide the cross-lingual task into two tasks: summarization task and translation task. Pipeline-based methods can cause problems with error propagation. In this paper, a round-trip translation strategy (RTT) is used to construct a Tibetan-Chinese cross-language abstract dataset from an existing monolingual Tibetan abstract dataset, and then an end-to-end framework is used to train the Tibetan-Chinese crosslingual abstract task. Experimental results show that our method achieves significant improvements in performance metrics compared to traditional pipeline methods.

Citation Download Citation

Han Liu and Yiqing Wang "Research on Tibetan-Chinese cross-linguistic summarization", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124513L (20 October 2022); https://doi.org/10.1117/12.2656750

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