Ancient Chinese brings the wisdom and spirit culture of the Chinese nation.
Automatic translation from ancient Chinese to modern Chinese helps to inherit
and carry forward the quintessence of the ancients. However, the lack of
large-scale parallel corpus limits the study of machine translation in
Ancient-Modern Chinese. In this paper, we propose an Ancient-Modern Chinese
clause alignment approach based on the characteristics of these two languages.
This method combines both lexical-based information and statistical-based
information, which achieves 94.2 F1-score on our manual annotation Test set. We
use this method to create a new large-scale Ancient-Modern Chinese parallel
corpus which contains 1.24M bilingual pairs. To our best knowledge, this is the
first large high-quality Ancient-Modern Chinese dataset. Furthermore, we
analyzed and compared the performance of the SMT and various NMT models on this
dataset and provided a strong baseline for this task.

本文提出了一种基于古汉语和现代汉语特点的 Ancient-Modern Chinese 从句对齐方法，综合了基于词汇和统计信息的两种方法，用于创建了一个包含 124 万个双语对的大规模语料库，并分析了在此数据集上各种机器翻译模型的性能，并为该任务提供了强大的基准。