Abstract
Language students can increase their effectiveness in learning written Japanese by mastering the visual structure and written technique of Japanese kanji. Yet, existing kanji handwriting recognition systems do not assess the written technique sufficiently enough to discourage students from developing bad learning habits. In this paper, we describe our work on Hashigo, a kanji sketch interactive system which achieves human instructor-level critique and feedback on both the visual structure and written technique of students' sketched kanji. This type of automated critique and feedback allows students to target and correct specific deficiencies in their sketches that, if left untreated, are detrimental to effective long-term kanji learning.
Abstract (translated)
语言学习者可以通过掌握日语汉字的视觉结构和书写技巧来提高他们学习书面日语的效果。然而，现有的日语手写识别系统未能充分评估书写的技巧，不足以阻止学生养成不良的学习习惯。在本文中，我们介绍了我们在Hashigo项目上的工作，这是一个日语汉字草图互动系统，能够对学生的草图进行视觉结构和书写技巧方面的评判与反馈，其水平达到了人类教师的标准。这种自动化的评判和反馈可以让学生针对并纠正他们草图中的具体缺陷，这些缺陷如果不加以改正，在长期有效学习汉字的过程中将产生不利影响。
URL
https://arxiv.org/abs/2504.13940
