发表机构
Peking University（北京大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对甲骨文破译率低且跨时代字形变化大的问题，提出基于流形的文字演变框架MSEF，用神经常微分方程建模五个时代的连续演变，实现端到端训练。
AI 中文摘要
在商代发现的约4500个甲骨文（OBI）字符中，目前仅约1600个已被破译。许多计算方法将甲骨文与某一历史时期的字形进行对比。然而，在中国文字的演变过程中，重大的结构或语义变化往往发生在不确定的朝代。当相关字形在观察到的时代之间发生显著变化时，单一时期的参考可能不够充分。因此，我们提出了基于流形的文字演变框架（MSEF），该框架将中国文字的演变序列（甲骨文、金文、篆书、隶书、楷书）建模为流形空间的持续演变。MSEF将每个字符表示为特定时代的流形点，并通过神经常微分方程学习跨时代的连续转换规则。流形空间和转换动态都可以通过任意两个时代之间的字符演变对进行端到端训练。
英文摘要
Of the approximately 4,500 Oracle Bone Inscription (OBI) characters discovered from the Shang dynasty, only about 1,600 have been deciphered. Many computational approaches compare OBI with glyphs from one historical period at a time. However, during the evolution of Chinese characters, significant structural or semantic changes often occur in uncertain dynasties. A single-period reference may be insufficient when relevant forms change substantially between observed eras. Therefore, we propose the \textbf{Manifold-based Script Evolution Framework (MSEF)}, a framework that models the evolution series (OBI, Bronze, Seal, Clerical, Regular) of Chinese characters as the continual evolution of a manifold space. MSEF represents each character as an era-specific manifold point and learns continuous inter-era transition rules via Neural Ordinary Differential Equations. Both manifold space and transition dynamics can be trained end-to-end through character evolution pairs across any two eras.
CommentsThe previous version did not adequately disclose the permissions and usage rights associated with the dataset. We are withdrawing the manuscript to address this data authorization and compliance issue and to ensure that the revised version contains clear and accurate statements regarding dataset access, permissions, and licensing
