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相关论文: Demographic growth and the distribution of languag…

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Human history leaves fingerprints in human languages. Little is known over language evolution and its study is of great importance. Here, we construct a simple stochastic model and compare its results to statistical data of real languages.…

物理与社会 · 物理学 2015-05-13 V. Schwämmle , P. M. C. de Oliveira

Time evolutions of number of cities, population of cities, world population, and size distribution of present languages are studied in terms of a new model, where population of each city increases by a random rate and decreases by a random…

物理与社会 · 物理学 2016-12-27 Caglar Tuncay

The distribution of living languages is investigated and scaling relations are found for the diversity of languages as a function of the country area and population. These results are compared with data from Ecology and from computer…

物理与社会 · 物理学 2009-11-11 M. A. F. Gomes , G. L. Vasconcelos , I. J. Tsang , I. R. Tsang

This paper presents the results of the application of a bit-string model of languages (Schulze and Stauffer 2005) to problems of taxonomic patterns. The questions addressed include the following: (1) Which parameters are minimally ne eded…

物理与社会 · 物理学 2007-05-23 Soren Wichmann , Dietrich Stauffer , F. Welington S. Lima , Christian Schulze

Traditional linguistic theories have largely regard language as a formal system composed of rigid rules. However, their failures in processing real language, the recent successes in statistical natural language processing, and the findings…

计算与语言 · 计算机科学 2020-12-02 Shuiyuan Yu , Chunshan Xu , Haitao Liu

Languages emerge and change over time at the population level though interactions between individual speakers. It is, however, hard to directly observe how a single speaker's linguistic innovation precipitates a population-wide change in…

计算与语言 · 计算机科学 2021-06-04 Richard A Blythe , William Croft

The similarity of the evolution of human languages (or alphabets, bird songs, >...) to biological evolution of species is utilized to study with up to $10^9$ people the rise and fall of languages either by macroscopic differential equations…

物理与社会 · 物理学 2009-11-11 Dietrich Stauffer , Christian Schulze

Here we describe how some important scaling laws observed in the distribution of languages on Earth can emerge from a simple computer simulation. The proposed language dynamics includes processes of selective geographic colonization,…

物理与社会 · 物理学 2009-11-11 Viviane M. de Oliveira , M. A. F. Gomes , I. R. Tsang

This paper analyzes a stochastic logistic difference equation under the assumption that the population distribution follows a normal distribution. Our focus is on the mathematical relationship between the average growth rate and a newly…

概率论 · 数学 2025-04-22 Haiyan Wang

A stochastic model for the evolution of a growing population is proposed, in order to explain empirical power-law distributions in the frequency of family names as a function of the family size. Preliminary results show that the predicted…

适应与自组织系统 · 物理学 2009-10-31 Damian H. Zanette , Susanna C. Manrubia

Quantifying the speed of linguistic change is challenging due to the fact that the historical evolution of languages is sparsely documented. Consequently, traditional methods rely on phylogenetic reconstruction. In this paper, we propose a…

物理与社会 · 物理学 2025-01-29 Henri Kauhanen , Deepthi Gopal , Tobias Galla , Ricardo Bermúdez-Otero

An earlier study (Nettle 1999b) concluded, based on computer simulations and some inferences from empirical data, that languages will change the more slowly the larger the population gets. We replicate this study using a more complete…

物理与社会 · 物理学 2007-06-14 Soeren Wichmann , Dietrich Stauffer , Christian Schulze , Eric W. Holman

We describe a continuous-time modelling framework for biological population dynamics that accounts for demographic noise. In the spirit of the methodology used by statistical physicists, transitions between the states of the system are…

种群与进化 · 定量生物学 2018-07-19 George W. A. Constable , Alan J. McKane

We study a generalised model of population growth in which the state variable is population growth rate instead of population size. Stochastic parametric perturbations, modelling phenotypic variability, lead to a Langevin system with two…

种群与进化 · 定量生物学 2010-10-15 Harold P. de Vladar , Ido Pen

The distribution of human linguistic groups presents a number of interesting and non-trivial patterns. The distributions of the number of speakers per language and the area each group covers follow log-normal distributions, while population…

种群与进化 · 定量生物学 2015-12-16 Jose A. Capitan , Susanna Manrubia

People tend to align their use of language to the linguistic behaviour of their own ingroup and to simultaneously diverge from the language use of outgroups. This paper proposes to model this phenomenon of sociolinguistic identity…

物理与社会 · 物理学 2020-11-25 Henri Kauhanen

The growth of a population divided among spatial sites, with migration between the sites, is sometimes modelled by a product of random matrices, with each diagonal elements representing the growth rate in a given time period, and…

种群与进化 · 定量生物学 2018-09-12 David Steinsaltz , Shripad Tuljapurkar

This paper theoretically analyzes a phenomenological stochastic model for bacterial growth. This model comprises cell division and the linear growth of cells, where growth rates and cell cycles are drawn from lognormal distributions. We…

生物物理 · 物理学 2016-06-28 Ken Yamamoto , Jun-ichi Wakita

The Swadesh approach for determining the temporal separation between two languages relies on the stochastic process of words replacement (when a complete new word emerges to represent a given concept). It is well known that the basic…

计算与语言 · 计算机科学 2025-10-28 Maurizio Serva

Statistical studies of languages have focused on the rank-frequency distribution of words. Instead, we introduce here a measure of how word ranks change in time and call this distribution \emph{rank diversity}. We calculate this diversity…

计算与语言 · 计算机科学 2015-05-15 Germinal Cocho , Jorge Flores , Carlos Gershenson , Carlos Pineda , Sergio Sánchez
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