Generation of Chinese classical poetry based on pre-trained model

Chinese traditional poetry is an important art form, and it is a meaningful task to use artificial intelligence algorithm to generate poetry. In the past, researchers have proposed different generation algorithms, but these algorithms have some limitations.This paper mainly tries to use BART and other pretrained models, proposes FS2TEXT and RR2TEXT to generate metrical poetry text and even specific style poetry text, and solves the problem that the user’s writing intention gradually reduces the relevance of the generated poetry text. Finally, in order to test the effect of the algorithm, this paper imitates Turing test and finds more than 600 testers to distinguish the works generated by the algorithm from the works of real human poets, and the results show that they can’t tell whether the work is from an algorithm or a human.This shows that the algorithm proposed in this paper works well.