title: Optimizing the Learning Order of Chinese Characters Using a Novel Topological Sort Algorithm.
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.
authors.affiliation: INPAC and Dept. of Physics, Shanghai Jiao Tong University, Shanghai 200240, China.
authors.forename: James C
authors.identifier: http://orcid.org/0000-0002-9273-1286
authors.initials: JC
authors.lastname: Loach
authors.affiliation: INPAC and Dept. of Physics, Shanghai Jiao Tong University, Shanghai 200240, China.
authors.forename: Jinzhao
authors.initials: J
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D002681:China; D006801:Humans; D007802:Language; D008037:Linguistics; D010364:Pattern Recognition, Visual; D011932:Reading