# Deep Poetry: A Chinese Classical Poetry Generation System

arXiv: https://arxiv.org/abs/1911.08212 · HTML: https://mlsanity.com/paper/1911.08212/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Nov 2019.

## Built on by (most cited first, 5 of 5)

- [DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling](https://mlsanity.com/paper/2107.01875/) (2021)
- [AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation](https://mlsanity.com/paper/2103.16190/) (2021)
- [Sudowoodo: a Chinese Lyric Imitation System with Source Lyrics](https://mlsanity.com/paper/2308.04665/) (2023)
- [System Report for CCL25-Eval Task 5: New Dataset and LoRA-Fine-Tuned Qwen2.5](https://mlsanity.com/paper/2606.12392/) (2026)
- [AcrosticSleuth: Probabilistic Identification and Ranking of Acrostics in Multilingual Corpora](https://mlsanity.com/paper/2408.04427/) (2024)

## Abstract (arXiv)

In this work, we demonstrate a Chinese classical poetry generation system called Deep Poetry. Existing systems for Chinese classical poetry generation are mostly template-based and very few of them can accept multi-modal input. Unlike previous systems, Deep Poetry uses neural networks that are trained on over 200 thousand poems and 3 million ancient Chinese prose. Our system can accept plain text, images or artistic conceptions as inputs to generate Chinese classical poetry. More importantly, users are allowed to participate in the process of writing poetry by our system. For the user's convenience, we deploy the system at the WeChat applet platform, users can use the system on the mobile device whenever and wherever possible. The demo video of this paper is available at https://youtu.be/jD1R_u9TA3M.