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Towards Web-based Etymological Hanzi learning

Genze Wu
Jia Xing
Jingtao Wang
Julia (Wenli) Zhu
Jun Chen
Kevin Jing
Sijia Ma
Wenhui Guo
Yaolin Chen
Yingying Zhao
(2020)
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Abstract

Modern-day Chinese characters, or Hanzi, originate from the ancient oracle-bone scripts (甲骨文). Such etymological relationship creates unique opportunities for Chinese literacy learning. This work proposes to use Web-based tools and the latest machine learning techniques to scale-up and enhance etymological Hanzi learning. By sharing our implementation details from launching an interactive sketch-based learning exhibition, we hope education-AI becomes more widely incorporated into today’s commercial Web applications.