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Optimizing the Learning Order of Chinese Characters Using a Novel Topological Sort Algorithm

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  • James C Loach
  • Jinzhao Wang

Abstract

We present a novel algorithm for optimizing the order in which Chinese characters are learned, one that incorporates the benefits of learning them in order of usage frequency and in order of their hierarchal structural relationships. We show that our work outperforms previously published orders and algorithms. Our algorithm is applicable to any scheduling task where nodes have intrinsic differences in importance and must be visited in topological order.

Suggested Citation

  • James C Loach & Jinzhao Wang, 2016. "Optimizing the Learning Order of Chinese Characters Using a Novel Topological Sort Algorithm," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-17, October.
  • Handle: RePEc:plo:pone00:0163623
    DOI: 10.1371/journal.pone.0163623
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