From Shakespeare to Li-Bai: Adapting a Sonnet Model to Chinese Poetry

摘要

In this paper, we adapt Deep-speare, a joint neural network model tor English sonnets, to Chinese poetry. We illustrate the characteristics of Chinese quatrain and explain our architecture as well as training and generation procedure, which differs from Shakespeare sonnets in several aspects. We analyse the generated poetry and find that the adapted model works well for Chinese poetry, as it can: (1) generate coherent 4-line quatrains of different topics; and (2) capture rhyme automatically to a certain extent.