Abstract
In learning Chinese, many students often have the problem of mixing up similar characters. This can cause misunderstanding and miscommunication in daily life. It is thus important for students learning the Chinese language to be able to distinguish similar characters and understand their proper usage. In this paper, we propose a game style framework in which the game content in identifying similar Chinese characters in idioms and words is created automatically. Our prior work on analyzing students’ Chinese handwriting can be applied in the similarity measure of Chinese characters. We extend this work by adding the component of radical extraction to speed up the search process. Experimental results show that the proposed method is more accurate and faster in finding more similar Chinese characters compared with the baseline method without considering the radical information.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Tan, C.K.: An Algorithm for Online Strokes Verification of Chinese Characters Using Discrete Features. In: 8th Intl. Workshop on Frontiers in Handwriting Recognition, pp. 339–344 (2002)
Teo, C.L., Burdet, E., Lim, H.P.: A Robotic Teacher of Chinese Handwriting. In: 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, pp. 335–341 (2002)
Green, M., Nell McNeese, M.: Using Edutainment Software to Enhance Online Learning. Intl. Journal on E-Learning 6(1), 5–16 (2007)
The Academy of Chinese Studies, http://www.chiculture.net/php/frame.php?id=/cnsweb/html/0613
Yojiro, T., Akinori, K.: On-line Japanese character recognition method using length-based stroke correspondence algorithm. In: Proc. of the Intl. Conf. on Document Analysis and Recognition, vol. 2, pp. 633–636 (1997)
Toru, W., Kazumi, O.: On-line cursive Kanji character recognition using stroke-based affine transformation. IEEE Transaction on Pattern Analysis and Machine Intelligence 19(12), 1381–1385 (1997)
Yu, Y., Yang, Y., Dong, C., He, X., Chen, Z.: Similar Chinese Characters Recognition Using Multiresolution Feature Space. In: 9th Intl Conf. on Intelligent Systems Design and Applications, vol. 2, pp. 25–260 (2006)
Fan, K.C., Lin, C.K., Chou, K.S.: Confusion set recognition of on-line Chinese characters by artificial intelligence technique. Pattern Recognition 28(3), 303–313 (1995)
Wang, K., Tang, Y.Y., Suen, C.Y.: Multi-Layer Projection for The Classification of Similar Chinese Characters. In: 9th Intl. Conf. on Pattern Recognition, pp. 842–844 (1988)
Yeung, D.S., Fong, H.S.: Ambiguity Handling of Similar Categories in Handwritten Chinese Character Recognition. In: Proc. of the IEEE Intl. Conf. on System, Man, and Cybernetics, vol. 5, pp. 4217–4221 (1998)
Laya, S.R., Leeb, C.H., Chengb, N.J., Tsenga, C.C., Jenga, B.S., Tinga, P.Y., Wua, Q.Z., Day, M.L.: On-line Chinese Character Recognition with Effective Candidate Radical and Candidate Character Selections. Pattern Recognition 29, 1647–1659 (1996)
Tang, K.T., Leung, H.: Teaching Chinese Handwriting by Automatic Feedback and Analysis for Incorrect Stroke Sequence and Stroke Production Errors. In: 14th Intl. Conf. on Computers in Education, pp. 107–114 (2006)
Burkard, R.R., Cela, E.: Linear Assignment Problems and Extensions. In: Pardalos, P.M., Du, D.-Z. (eds.) Handbooks of Combinatorial Optimization, pp. 75–149. Kluwer Academic Publishers, Dordrecht (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lai, KH., Leung, H., Tang, J.K.T. (2009). Automatic Content Creation for Games to Train Students Distinguishing Similar Chinese Characters. In: Spaniol, M., Li, Q., Klamma, R., Lau, R.W.H. (eds) Advances in Web Based Learning – ICWL 2009. ICWL 2009. Lecture Notes in Computer Science, vol 5686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03426-8_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-03426-8_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03425-1
Online ISBN: 978-3-642-03426-8
eBook Packages: Computer ScienceComputer Science (R0)