Quantifying patterns of punctuation in modern Chinese prose
Recent research shows that punctuation patterns in texts exhibit universal features across languages. Analysis of Western classical literature reveals that the distribution of spaces between punctuation marks aligns with a discrete Weibull distribution, typically used in survival analysis. By extending this analysis to Chinese literature represented here by three notable contemporary works, it is shown that Zipf's law applies to Chinese texts similarly to Western texts, where punctuation patterns also improve adherence to the law. Additionally, the distance distribution between punctuation marks in Chinese texts follows the Weibull model, though larger spacing is less frequent than in English translations. Sentence-ending punctuation, representing sentence length, diverges more from this pattern, reflecting greater flexibility in sentence length. This variability supports the formation of complex, multifractal sentence structures, particularly evident in Gao Xingjian's Soul Mountain. These findings demonstrate that both Chinese and Western texts share universal punctuation and word distribution patterns, underscoring their broad applicability across languages.
Authors
- Tomasz Stanisz (ORCID: https://orcid.org/0000-0002-4787-6881)
- Liu Jin (ORCID: https://orcid.org/0000-0001-6757-8008)
- Stanisław Drożdż (ORCID: https://orcid.org/0000-0003-1613-6175)
- Jarosław Kwapień (ORCID: https://orcid.org/0000-0001-8813-9637)
- Michał Dolina (ORCID: https://orcid.org/0000-0001-8980-9727)
- Jakub Dec (ORCID: https://orcid.org/0000-0001-9946-1541)
Institutions
- Georgia Institute of Technology (US)
- Cracow University of Technology (PL)
- Institute of Nuclear Physics, Polish Academy of Sciences (PL)
Publication Details
- Journal
- Chaos An Interdisciplinary Journal of Nonlinear Science
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1063/5.0248520
- Citations
- 2
- Primary Topic
- Complex Systems and Time Series Analysis
- Type
- article
- Field-Weighted Citation Impact
- 6.26