Research on a Tang Poetry automatic generation system based on an evolutionary algorithm

MU Zhaonan; LIU Mengzhu; SUN Jieping; WANG Cheng

doi:10.3969/j.issn.1000-5641.201921017

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Nov. 2020

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MU Zhaonan, LIU Mengzhu, SUN Jieping, WANG Cheng. Research on a Tang Poetry automatic generation system based on an evolutionary algorithm[J]. Journal of East China Normal University (Natural Sciences), 2020, (6): 129-139. doi: 10.3969/j.issn.1000-5641.201921017

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MU Zhaonan, LIU Mengzhu, SUN Jieping, WANG Cheng. Research on a Tang Poetry automatic generation system based on an evolutionary algorithm[J]. Journal of East China Normal University (Natural Sciences), 2020, (6): 129-139. doi: 10.3969/j.issn.1000-5641.201921017

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Research on a Tang Poetry automatic generation system based on an evolutionary algorithm

doi: 10.3969/j.issn.1000-5641.201921017

1.
College of Computer and Information Engineering, Guizhou University of Commerce, Guiyang　550014, China
2.
College of Computer Science, Sichuan University, Chengdu　610207, China
3.
Guangzhou Huizhi Communication Technology Co., Ltd, Guangzhou　510630, China

Received Date: 2019-08-27
Publish Date: 2020-11-25

Abstract

Abstract

In this paper, research on an automatic generation algorithm for Tang poetry, one of the poetry genres, is carried out. The research work consists of the GloVe(Global Vectors for Word Representation) model to train-word vectors, an initial population scheme based on keywords and peaceful rhymes, a fitness function for grammatical and semantic weights, and a selection strategy used in tournament algorithms; the latter includes heuristic crossover and heuristic mutation operators as well as automatic generation of Tang poetry based on an evolutionary algorithm. Experiments show that by providing keywords the established model and system can achieve the initial goal for automatic generation of Tang poems. After manual modification, the proposed system can generate valuable and appreciable Tang poems.
- evolutionary algorithms,
- automatic generation,
- Tang Poetry,
- natural language processing

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References(20)

References

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