Model of the Dynamic Construction Process of Texts and Scaling Laws of Words Organization in Language Systems.

Scaling laws characterize diverse complex systems in a broad range of fields, including physics, biology, finance, and social science. The human language is another example of a complex system of words organization. Studies on written texts have shown that scaling laws characterize the occurrence fr...

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Main Authors: Shan Li, Ruokuang Lin, Chunhua Bian, Qianli D Y Ma, Plamen Ch Ivanov
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5179102?pdf=render
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author Shan Li
Ruokuang Lin
Chunhua Bian
Qianli D Y Ma
Plamen Ch Ivanov
author_facet Shan Li
Ruokuang Lin
Chunhua Bian
Qianli D Y Ma
Plamen Ch Ivanov
author_sort Shan Li
collection DOAJ
description Scaling laws characterize diverse complex systems in a broad range of fields, including physics, biology, finance, and social science. The human language is another example of a complex system of words organization. Studies on written texts have shown that scaling laws characterize the occurrence frequency of words, words rank, and the growth of distinct words with increasing text length. However, these studies have mainly concentrated on the western linguistic systems, and the laws that govern the lexical organization, structure and dynamics of the Chinese language remain not well understood. Here we study a database of Chinese and English language books. We report that three distinct scaling laws characterize words organization in the Chinese language. We find that these scaling laws have different exponents and crossover behaviors compared to English texts, indicating different words organization and dynamics of words in the process of text growth. We propose a stochastic feedback model of words organization and text growth, which successfully accounts for the empirically observed scaling laws with their corresponding scaling exponents and characteristic crossover regimes. Further, by varying key model parameters, we reproduce differences in the organization and scaling laws of words between the Chinese and English language. We also identify functional relationships between model parameters and the empirically observed scaling exponents, thus providing new insights into the words organization and growth dynamics in the Chinese and English language.
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spelling doaj.art-68b1e6232904432fbe922b5fa1dad5ed2022-12-22T01:15:15ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011112e016897110.1371/journal.pone.0168971Model of the Dynamic Construction Process of Texts and Scaling Laws of Words Organization in Language Systems.Shan LiRuokuang LinChunhua BianQianli D Y MaPlamen Ch IvanovScaling laws characterize diverse complex systems in a broad range of fields, including physics, biology, finance, and social science. The human language is another example of a complex system of words organization. Studies on written texts have shown that scaling laws characterize the occurrence frequency of words, words rank, and the growth of distinct words with increasing text length. However, these studies have mainly concentrated on the western linguistic systems, and the laws that govern the lexical organization, structure and dynamics of the Chinese language remain not well understood. Here we study a database of Chinese and English language books. We report that three distinct scaling laws characterize words organization in the Chinese language. We find that these scaling laws have different exponents and crossover behaviors compared to English texts, indicating different words organization and dynamics of words in the process of text growth. We propose a stochastic feedback model of words organization and text growth, which successfully accounts for the empirically observed scaling laws with their corresponding scaling exponents and characteristic crossover regimes. Further, by varying key model parameters, we reproduce differences in the organization and scaling laws of words between the Chinese and English language. We also identify functional relationships between model parameters and the empirically observed scaling exponents, thus providing new insights into the words organization and growth dynamics in the Chinese and English language.http://europepmc.org/articles/PMC5179102?pdf=render
spellingShingle Shan Li
Ruokuang Lin
Chunhua Bian
Qianli D Y Ma
Plamen Ch Ivanov
Model of the Dynamic Construction Process of Texts and Scaling Laws of Words Organization in Language Systems.
PLoS ONE
title Model of the Dynamic Construction Process of Texts and Scaling Laws of Words Organization in Language Systems.
title_full Model of the Dynamic Construction Process of Texts and Scaling Laws of Words Organization in Language Systems.
title_fullStr Model of the Dynamic Construction Process of Texts and Scaling Laws of Words Organization in Language Systems.
title_full_unstemmed Model of the Dynamic Construction Process of Texts and Scaling Laws of Words Organization in Language Systems.
title_short Model of the Dynamic Construction Process of Texts and Scaling Laws of Words Organization in Language Systems.
title_sort model of the dynamic construction process of texts and scaling laws of words organization in language systems
url http://europepmc.org/articles/PMC5179102?pdf=render
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AT qianlidyma modelofthedynamicconstructionprocessoftextsandscalinglawsofwordsorganizationinlanguagesystems
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