Technical Report on A ncient C hinese Machine Translation Based on m RASP Model (2023)

Abstract: Abstract: Objective This paper aims to improve the performance of machine translation of ancient Chinese classics, which can better promote the development of ancient books research and the spread of Chinese culture. Methods Based on the multilingual translation machine pre-training model of mRASP, the model was trained by fine-tuning the specific language pairs, namely a2m, and a2e, according to the two downstream tasks of classical Chinese translation into modern Chinese and classical Chinese translation into English, using the parallel corpus of ancient white and white and ancient English parallel corpus of Pre-Qin+ZiZhiTongJian, and the translation performance of the fine-tuning model was evaluated by BIEU evaluation index. Results The BIEU4 results of the three downstream tasks of 24_histories_a2m、Pre-Qin+ZiZhiTongJian_a2m、 Pre-Qin+ZiZhiTongJian_a2e were 17.38, 13.69 and 12.90 respectively.

## introduction ancient chinese classics are an important part of chinese traditional culture. how to mention the automatic translation effect of ancient books is an important topic in the study of ancient chinese classics. improving machine translation performance from ancient chinese to modern chinese can better promote the development of ancient book research. at the same time, improving the machine translation technology from ancient chinese to english can also promote the promotion of chinese traditional culture in the world. evahan 2023 is the second international evaluation of ancient chinese information processing. this evaluation task is the machine translation of ancient chinese, including two sub-tasks: translating ancient chinese into modern chinese; ancient chinese into english. the open mode and selects the multi-language translation pre-training model-mrasp released by bytedance in 2020. based on this pre-training model, the specific language pairs are finetuned, that is, a2c and a2e, to realize the translation of classical chinese into modern chinese and english.