Entropy-based Sound-Character Mapping for Chinese Character Learning

Supplementary materials

Supplementary materials for an information-theoretic method that prioritizes high-entropy sound-character mappings to accelerate Chinese character learning.
Published

May 21, 2025

Supplementary materials for the paper “Entropy-based Sound-Character Mapping for Chinese Character Learning,” International Journal of Chinese Language Teaching (2025, Vol. 6, Issue 2, pp. 63–89).

Overview

The paper applies information-theoretic methods to Chinese character acquisition. By quantifying the entropy of the sound-to-character mapping, the work identifies which characters have the most complex (high-uncertainty) phonetic relationships and proposes prioritizing those as learning targets — a data-driven strategy for mastering characters with irregular or high-variance pinyin mappings.

Paper

Read the article on CLT-International · DOI

Supplementary Materials

The supplementary site provides the following downloadable resources:

Materials are designed for both educators and self-learners who want an evidence-based approach to Chinese character study.