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Measuring linguistic complexity in Chinese: An information-theoretic approach

Linguistics and Languages

Measuring linguistic complexity in Chinese: An information-theoretic approach

X. Liu, F. Li, et al.

Explore the groundbreaking study by Xun Liu, Feng Li, and Wei Xiao, which applies an information-theoretic approach using Kolmogorov complexity to analyze Chinese linguistic complexity. With a corpus of 60 million characters, their research reveals significant correlations and insights into morpheme richness and topic prominence. Discover how this approach compares to nine European languages and sheds light on the proficiency of Chinese L1/L2 speakers!

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