Restoring Ancient Ideograph: A Multimodal Multitask Neural Network Approach

The author proposes a Multimodal Multitask Restoring Model (MMRM) to restore ancient texts, emphasizing ideographs, by combining context understanding with residual visual information. This pioneering application of multimodal deep learning in ancient text restoration aims to contribute to digital humanities fields.