Quantifying Punctuation Patterns in Chinese Language for Language Service Applications
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Jakub DecFaculty of Computer Science and Mathematics, Cracow University of Technology, 31-155 Kraków, PolandAuthor
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Michał DolinaFaculty of Computer Science and Mathematics, Cracow University of Technology, 31-155 Kraków, PolandAuthor
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Stanisław DrożdżFaculty of Computer Science and Mathematics, Cracow University of Technology, 31-155 Kraków, Poland; Complex Systems Theory Department, Institute of Nuclear Physics, Polish Academy of Sciences, 31-342 Kraków, PolandAuthor
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Jarosław KwapieńComplex Systems Theory Department, Institute of Nuclear Physics, Polish Academy of Sciences, 31-342 Kraków, PolandAuthor
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Jin LiuSchool of Modern Languages, Georgia Institute of Technology, Atlanta, GA 30332, USAAuthor
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Tomasz StaniszComplex Systems Theory Department, Institute of Nuclear Physics, Polish Academy of Sciences, 31-342 Kraków, PolandAuthor
DOI:
https://doi.org/10.63385/jlss.v2i1.100997Keywords:
Chinese Punctuation,Quantitative Linguistics,Language Services,Zipf’s Law,Weibull Distribution,Machine Translation,Multifractality,Complex NetworksAbstract
Punctuation is commonly treated as an auxiliary feature of writing, yet it encodes crucial information about syntactic organization, discourse rhythm, and narrative structure. In modern Chinese, punctuation forms a hybrid system shaped by traditional practices and imported Western conventions, making it especially relevant for quantitative analysis and language service applications. This review presents a concise summary of recent findings of a systematic investigation of punctuation in modern Chinese prose, with comparison to English translations, using a unified framework of the Zipf–Mandelbrot frequency statistics, the discrete Weibull spacing distributions, word-adjacency network analysis, and multifractal time-series methods. If punctuation marks are treated along with regular words as full linguistic tokens, Chinese punctuation follows robust power-law frequency scaling and its inclusion improves Zipfian behaviour. Inter-punctuation distances exhibit near-exponential Weibull distributions, reflecting frequent and regular segmentation, while English displays heavier tails indicative of longer punctuation-free spans. Network analyses reveal that punctuation functions as a central organizing hub in Chinese texts, reducing average shortest-path lengths and increasing clustering, whereas English networks are more lexically centered. Multifractal analysis further demonstrates that punctuation governs narrative dynamics across scales, with English translations exhibiting stronger multiscale variability. These results establish punctuation as a quantifiable structural signal rather than a peripheral orthographic feature and highlight its practical relevance for machine translation, speech technology, subtitling, accessibility services, and data-driven quality assurance.
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