Genetic algorithm and its implementation of automatic generation of Chinese SONGCI

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Abstract

Automatic generation of poetry has always been considered a hard nut in natural language generation. This paper reports some pioneering research on a possible generic algorithm and its automatic generation of SONGCI. In light of the characteristics of Chinese ancient poetry, this paper designed the level and oblique tones-based coding method, the syntactic and semantic weighted function of fitness, the elitism and roulette-combined selection operator, and the partially mapped crossover operator and the heuristic mutation operator. As shown by tests, the system constructed on the basis of the computing model designed in this paper is basically capable of generating Chinese SONGCI with some aesthetic merit. This work represents progress in the field of Chinese poetry automatic generation. © by Institute of Software, the Chinese Academy of Sciences. All rights reserved.

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Zhou, C. L., You, W., & Ding, X. J. (2010). Genetic algorithm and its implementation of automatic generation of Chinese SONGCI. Ruan Jian Xue Bao/Journal of Software, 21(3), 427–437. https://doi.org/10.3724/SP.J.1001.2010.03596

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