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Updated: May 26, 2025

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
Published on: September 5, 2019
Quantifying patterns of punctuation in modern Chinese prose.
Michał Dolina1, Jakub Dec1, Stanisław Drożdż1,2
1Faculty of Computer Science and Telecommunications, Cracow University of Technology, ul. Warszawska 24, 31-155 Kraków, Poland.
Punctuation patterns in Chinese and Western texts share universal features, following a discrete Weibull distribution and Zipf's law. This linguistic analysis reveals commonalities in text structure across diverse languages.
Area of Science:
- Computational Linguistics
- Quantitative Linguistics
- Literary Studies
Background:
- Punctuation patterns exhibit universal features across languages.
- Previous research analyzed Western classical literature, noting a discrete Weibull distribution for inter-punctuation spacing.
Purpose of the Study:
- To extend the analysis of punctuation patterns to Chinese contemporary literature.
- To investigate the applicability of Zipf's law and Weibull distribution to Chinese texts.
- To compare punctuation and sentence structure patterns between Chinese and Western literature.
Main Methods:
- Quantitative analysis of punctuation spacing in three contemporary Chinese literary works.
- Application of Zipf's law and discrete Weibull distribution models.
- Comparison with findings from Western classical literature and English translations.
Main Results:
- Zipf's law applies to Chinese texts, with punctuation improving adherence.
- Inter-punctuation distance distribution in Chinese texts follows a Weibull model, with less frequent large spacing than in English.
- Sentence-ending punctuation in Chinese shows greater variability, supporting complex sentence structures.
Conclusions:
- Chinese and Western texts share universal punctuation and word distribution patterns.
- Punctuation analysis provides insights into linguistic universals and text complexity.
- Findings underscore the broad applicability of these quantitative linguistic models across languages.
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