关键词: 古典诗词, 动画生成, SVM分类, 共现分析

Abstract: Focusing on classical Chinese poetry, the authors firstly achieve the combination of NLP, computing poetics and computer animation to solve the automatic animation generation of classical poetries. The authors firstly automatically determine the poetry style, subject matter and the time using SVM-based and collaborative learning classifier. After the achievement of automatic animation generation by using Flash Actionscript 3.0 script, using co-occurrence relationship supplies animation elements and gives poetry scene classification method. The results show that the proposed methodology initially solves the automatic generation of classical poetry animation, and provides a theoretical basis and experimental foundation for subsequent research.

Key words: ancient poetry, animation generation, SVM classification, co-occurrence analysis