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

TL;DR

This paper introduces a new topological sort algorithm to optimize the sequence of learning Chinese characters, combining frequency and structural hierarchy, outperforming previous methods.

Contribution

A novel topological sort algorithm that integrates usage frequency and hierarchical structure for efficient Chinese character learning.

Findings

Outperforms existing learning order algorithms

Applicable to scheduling tasks with importance-based node importance

Demonstrates improved learning efficiency

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.