Classical Chinese poetry is a jewel in the treasure house of Chinese culture.
Previous poem generation models only allow users to employ keywords to
interfere the meaning of generated poems, leaving the dominion of generation to
the model. In this paper, we propose a novel task of generating classical
Chinese poems from vernacular, which allows users to have more control over the
semantic of generated poems. We adapt the approach of unsupervised machine
translation (UMT) to our task. We use segmentation-based padding and
reinforcement learning to address under-translation and over-translation
respectively. According to experiments, our approach significantly improve the
perplexity and BLEU compared with typical UMT models. Furthermore, we explored
guidelines on how to write the input vernacular to generate better poems. Human
evaluation showed our approach can generate high-quality poems which are
comparable to amateur poems.

本文提出了一种利用非文言文生成古典诗歌的新任务，并采用了无监督机器翻译的方法，在语义上给予用户更多控制权，通过基于分词的填充和强化学习等方法，取得了很好的实验效果，同时探索了如何提高生成诗歌的输入口诀，得到了高质量的诗歌生成。

从口语汉语生成古典诗歌

Generating Classical Chinese Poems from Vernacular Chinese

We present a simple yet effective method for generating high quality
classical Chinese poetry with Generative Pre-trained Language Model (GPT). The
method adopts a simple GPT model, without using any human crafted rules or
features, or designing any additional neural components. While the proposed
model learns to generate various forms of classical Chinese poems, including
Jueju, L\"{u}shi, various Cipai and Couples, the generated poems are of very
high quality. We also propose and implement a method to fine-tune the model to
generate acrostic poetry. To the best of our knowledge, this is the first to
employ GPT in developing a poetry generation system. We have released an online
mini demonstration program on Wechat to show the generation capability of the
proposed method for classical Chinese poetry.

利用预训练语言模型生成高质量文言诗的简单有效方法。该方法采用 GPT 模型，生成各种形式的文言诗，包括绝句、律诗、词牌和对联。同时进行了微调并实现了生成藏头诗的方法。我们已在微信上发布了一个在线演示程序，以展示这种方法在生成文言诗方面的能力。