Chinese couplet is a special form of poetry composed of complex syntax with ancient Chinese language. Due to the complexity of semantic and grammatical rules, creation of a suitable couplet is a formidable challenge. This paper presents a transformer-based sequence-to-sequence couplet generation model. With the utilization of AnchiBERT, the model is able to capture ancient Chinese language understanding. Moreover, we evaluate the Glyph, PinYin and Part-of-Speech tagging on the couplet grammatical rules to further improve the model.
@article{arxiv.2112.01707,
title = {TransCouplet:Transformer based Chinese Couplet Generation},
author = {Kuan-Yu Chiang and Shihao Lin and Joe Chen and Qian Yin and Qizhen Jin},
journal= {arXiv preprint arXiv:2112.01707},
year = {2021}
}