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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

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Language Universals in Sentence Length: Comparing Sentence Length Distributions of 10 Languages.

Yikai Zhou¹, Jingyang Jiang¹, Haitao Liu²

¹School of International Studies, Zhejiang University.

Cognitive Science

|September 23, 2025

Summary

Sentence and sub-sentence lengths follow a universal probabilistic pattern across languages, influenced by linguistic family and genre. This finding reveals consistent patterns in text segmentation, impacting effective communication.

Keywords:

Genre effect Language universals Probabilistic distribution Punctuation marks Sentence length

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Area of Science:

Linguistics
Computational Linguistics
Cognitive Science

Background:

Sentence length is shaped by cognitive limits and stylistic choices for communication.
Universal patterns in sentence length distributions across languages and genres are not well understood.

Purpose of the Study:

Investigate if sentence and sub-sentence lengths follow a unified probabilistic distribution across languages.
Determine if these distributions reflect linguistic genealogy and genre.
Test the hypothesis that sentence and sub-sentence lengths follow a unified probabilistic distribution, modulated by linguistic genealogy and genre.

Main Methods:

Analyzed news texts in 10 languages.
Applied the Extended Positive Negative Binomial distribution model.
Utilized cluster analysis for linguistic typology.
Employed generalized linear models to assess genre effects.

Main Results:

Sentence and sub-sentence length distributions conform to the Extended Positive Negative Binomial distribution.
Cluster analysis of length parameters mirrored linguistic genealogical relationships.
Genre influenced sentence-level metrics more, while language had a stronger effect on sub-sentence level metrics.

Conclusions:

Sentence and sub-sentence length distributions exhibit a universal probabilistic pattern in punctuation-based segmentation.
These patterns are influenced by cognitive constraints and genre-specific adaptability across languages.