Hashigo可像真人老师一样点评日文汉字书写结构与笔法。
Hashigo: A Next Generation Sketch Interactive System for Japanese Kanji
- 通过交互式草图系统实现对汉字结构与笔法的双重评估
- 能识别并反馈学生书写中的具体缺陷，避免养成不良习惯
- 适合日语学习者长期提升汉字书写能力
语言学习者若掌握日文汉字的视觉结构与书写技巧，将显著提升学习效率。然而现有汉字手写识别系统对书写技巧的评估不足，难以阻止学习者形成不良书写习惯。本文介绍Hashigo——一个新一代汉字草图交互系统，可实现与人类教师水平相当的反馈，对学生的汉字草图在视觉结构和书写技巧两方面进行精准评判。这种自动化反馈使学习者能够针对具体问题进行修正，避免因未及时纠正而影响长期汉字学习效果。
原文摘要 · Abstract (English)
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.
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