Commenced in January 2007
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Paper Count: 33122
Interactive Chinese Character Learning System though Pictograph Evolution
Authors: J.H. Low, C.O. Wong, E.J. Han, K.R Kim K.C. Jung, H.K. Yang
Abstract:
This paper proposes an Interactive Chinese Character Learning System (ICCLS) based on pictorial evolution as an edutainment concept in computer-based learning of language. The advantage of the language origination itself is taken as a learning platform due to the complexity in Chinese language as compared to other types of languages. Users especially children enjoy more by utilize this learning system because they are able to memories the Chinese Character easily and understand more of the origin of the Chinese character under pleasurable learning environment, compares to traditional approach which children need to rote learning Chinese Character under un-pleasurable environment. Skeletonization is used as the representation of Chinese character and object with an animated pictograph evolution to facilitate the learning of the language. Shortest skeleton path matching technique is employed for fast and accurate matching in our implementation. User is required to either write a word or draw a simple 2D object in the input panel and the matched word and object will be displayed as well as the pictograph evolution to instill learning. The target of computer-based learning system is for pre-school children between 4 to 6 years old to learn Chinese characters in a flexible and entertaining manner besides utilizing visual and mind mapping strategy as learning methodology.Keywords: Computer-based learning, Chinese character, pictograph evolution, skeletonization.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1061776
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[1] W. Baxter, "How hard is Chinese?, " The Defense Language Institution, Monterey, California. Available: http://www-personal.umich.edu/~wbaxter/howhard.html
[2] A. Hollingworth, C.C. Wiliam and J.M. Henderson, "To see and remember: Visually specific information is retained in memory from previously attend objects in natural scenes," Psychonomic Society Publication, Phychomic Bulletin & Review.8,4 (Dec 2001), 761-768(8).
[3] X. Bai and L.J. Latecki, "Path Similarity Skeleton Graph Matching, " PAMI, IEEE Trans, Jul 2008, Vol.30, No.7, pp 1282-1292.
[4] K.T. Tang, K.K. Li and H.A. Leung, "Web-based Chinese handwriting education system with automatic feedback and analysis," LNCS Springer, Oct 2006, Vol 4181/2006, session 3, pp 176-188.
[5] C.H. Chen, C.C. Su, P.Y. Lee and F.G. Wu, "Augmented Interface for Children Chinese Leaning," ICALT 2007, IEEE, July 2007, pp 268-270.
[6] E. Peterson, "Chinese charater flashcards," 1996-2005 Online Chinese Tool. Available: http://www.mandarintools.com/flashcard.html
[7] J. Lau, "Yellow Bridge flash cards," Yellow Bridge-Chinese Language Center, 2003-2008. Available : http://www.yellowbridge.com/chinese/flashcards.php
[8] J. Winters, "Language Lab Project: Activity Builder." Available : http://www.csulb.edu/labs/langlabs/builder/
[9] L. Wieger, "Chinese characters: Their Origin, Etymology, history, classification and signification a thorough study from Chinese documents," Dover Publication, 1965. Available : http://books.google.com/books?hl=en&lr=&id=odrkZvbqJQoC&oi=fnd &pg=PA1&dq=history+of+chinese+character+&ots=qjOysgvFIL&sig=J cWQKE2zG0YmZdFAfg6OKL2Hy-o#PPA2,M1
[10] Y.X. Jiang, "Carvings may rewrite history of Chinese characters," Xinhua net, May 2007. Available : http://news.xinhuanet.com/english/2007-05/18/content_6118003.htm
[11] "How hard is it to learn Chinese?," Jan 2006. Available : http://news.bbc.co.uk/2/hi/uk_news/magazine/4617646.stm
[12] Y.B. Liu, "Teacher- student talk in Singapore Chinese language classrooms: a case study of initiation/response/follow-up (IRF)," Asia Pacific Journal of Education, Mar 2008, Vol. 28, Issue 1, pp. 87-102.
[13] C. Tan, "Change and continuity: Chinese Language Policy in Singapore," Language Policy, Springer, Mar 2006 Vol. 5, No. 1, pp. 41-62(22).
[14] D.Reniers and A. Telea, "Tolerance-based Feature Transforms," VISAPP, Springer, Feb 2006, Vol. 4, pp 187-200.
[15] A.K. Robert and M.P. Stephen, "Untangling the Blum Medial Axis Transform," IJCV 2003, Vol. 55, Issue 2-3, pp. 139-153.
[16] J.G. Wang, P.K. He and W. Coo, "Study on the Hungarian algorithm for the maximum likelihood data associated problem," Journal of System Engineering and Electronics, Mar 2007, Vol. 18. Issues 1, pp 27-32.