Equilibrium (Zipf) and Dynamic (Grasseberg-Procaccia) method based analyses of human texts. A comparison of natural (english) and artificial (esperanto) languages
暂无分享,去创建一个
[1] Yuen Ren Chao,et al. Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology , 1950 .
[2] Bikas K. Chakrabarti,et al. Econophysics and Sociophysics : Trends and Perspectives , 2006 .
[3] M A Nowak,et al. The evolution of language. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[4] A. Michalos,et al. Readings in Mathematical Social Science , 1968 .
[5] Funabashi,et al. Scale-free statistics of time interval between successive earthquakes , 2004, cond-mat/0410123.
[6] Eric Métois,et al. Musical sound information : musical gestures and embedding synthesis , 1997 .
[7] D. Vernon. Inform , 1995, Encyclopedia of the UN Sustainable Development Goals.
[8] Ronald Rousseau,et al. Zipf's data on the frequency of Chinese words revisited , 1992, Scientometrics.
[9] H. Simon,et al. ON A CLASS OF SKEW DISTRIBUTION FUNCTIONS , 1955 .
[10] L. Carroll,et al. Alice's Adventures in Wonderland: Princeton University Press , 2015 .
[11] Vittorio Loreto,et al. Language trees and zipping. , 2002, Physical review letters.
[12] Marcel Ausloos. Equilibrium (Zipf) and Dynamic (Grasseberg-Procaccia) method based analyses of human texts. A comparison of natural (english) and artificial (esperanto) languages , 2008, ArXiv.
[13] Models of Universal Power-Law Distributions , 2003, cond-mat/0303331.
[14] Eric J. Kostelich,et al. Practical considerations in estimating dimension from time series data , 1989 .
[15] Jiabin Wang,et al. An analysis of Zipf-Mandelbrot language measures and their application to artificial languages , 1993, J. Inf. Sci..
[16] Daniel J. Fenn,et al. How does Europe Make Its Mind Up? Connections, cliques, and compatibility between countries in the Eurovision Song Contest , 2005, physics/0505071.
[17] G. Āllport. The Psycho-Biology of Language. , 1936 .
[18] Marcelo A. Montemurro,et al. Beyond the Zipf-Mandelbrot law in quantitative linguistics , 2001, ArXiv.
[19] Marcelo A. Montemurro,et al. Dynamics of Text Generation with Realistic Zipf's Distribution , 2002, J. Quant. Linguistics.
[20] G. Emch. Non-Equilibrium Quantum Statistical Mechanics , 1976 .
[21] Alexander F. Gelbukh,et al. Zipf and Heaps Laws' Coefficients Depend on Language , 2001, CICLing.
[22] Ronald Rousseau,et al. A weak goodness-of-fit test for rank-frequency distributions , 1999 .
[23] The n-Zipf analysis of financial data series and biased data series , 1999 .
[24] Lahomtoires d'Electronique. AN INFORMATIONAL THEORY OF THE STATISTICAL STRUCTURE OF LANGUAGE 36 , 2010 .
[25] H E Stanley,et al. Linguistic features of noncoding DNA sequences. , 1994, Physical review letters.
[26] M. Neubert. The lure of modern science: Fractal thinking , 1997 .
[27] James Theiler,et al. Estimating fractal dimension , 1990 .
[28] John B. Shoven,et al. I , Edinburgh Medical and Surgical Journal.
[29] Alkiviadis Kalampokis,et al. Language time series analysis , 2006, physics/0607095.
[30] X. Gabaix. Zipf's Law for Cities: An Explanation , 1999 .
[31] Jun Zhang,et al. LONG RANGE CORRELATION IN HUMAN WRITINGS , 1993 .
[32] Michael Don Palmer,et al. Reflections on language , 1977 .
[33] Mike Thelwall,et al. Word statistics in Blogs and RSS feeds: Towards empirical universal evidence , 2007, J. Informetrics.
[34] Lucas Antiqueira,et al. COMPLEX NETWORKS ANALYSIS OF MANUAL AND MACHINE TRANSLATIONS , 2008 .
[35] Thornbjorn Knudsen,et al. Zipf's Law for Cities and Beyond: The Case of Denmark , 2001 .
[36] George Carayannis,et al. Basic Quantitative Characteristics of the Modern Greek Language Using the Hellenic National Corpus , 2005, J. Quant. Linguistics.
[37] Kanter,et al. Markov processes: Linguistics and Zipf's law. , 1995, Physical review letters.
[38] A. N. Anagnostopoulos,et al. Crisis in electrical behavior of the TlInSe 2 semiconducting compound , 1996 .
[39] David M. W. Powers,et al. Applications and Explanations of Zipf’s Law , 1998, CoNLL.
[40] Luc Steels. A self-organizing spatial vocabulary , 1995 .
[41] D. Stauffer,et al. Birth, survival and death of languages by Monte Carlo simulation , 2007 .
[42] P. Grassberger,et al. Characterization of Strange Attractors , 1983 .
[43] Caroline M. Eastman,et al. Comparative lexical analysis of FORTRAN code, code comments and English text , 1980, ACM-SE 18.
[44] Greece,et al. Language evolution and population dynamics in a system of two interacting species , 2005, cond-mat/0502118.
[45] Marcelo A. Montemurro,et al. Long-range fractal correlations in literary corpora , 2002, ArXiv.
[46] Vittorio Loreto,et al. Topology Induced Coarsening in Language Games , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[47] G. Zipf,et al. The Psycho-Biology of Language , 1936 .
[48] M. Ausloos,et al. Precise (m,k)-Zipf diagram analysis of mathematical and financial time series when m=6, k=2 , 1999 .
[49] Ioannis M. Kyprianidis,et al. Chaotic behaviour of a fourth-order autonomous electric circuit , 2003 .
[50] Ido Kanter,et al. Identifying universals of text translation* , 2006, J. Quant. Linguistics.
[51] Christian Schulze,et al. Sociophysics simulations I: language competition , 2005 .
[52] Ing Ren Tsang,et al. Theoretical model for the evolution of the linguistic diversity , 2005, physics/0505197.
[53] Dietrich Stauffer,et al. MONTE CARLO SIMULATION OF THE RISE AND THE FALL OF LANGUAGES , 2005 .
[54] George Carayannis,et al. Word Length, Word Frequencies and Zipf’s Law in the Greek Language , 2001, J. Quant. Linguistics.
[55] P. Grassberger,et al. Measuring the Strangeness of Strange Attractors , 1983 .
[56] A. Giuliani,et al. Recurrence Quantification Analysis and Principal Components in the Detection of Short Complex Signals , 1997, chao-dyn/9712017.
[57] Christian Schulze,et al. Computer Simulation of Language Competition by Physicists , 2006 .
[58] Linguist , 2006, Nicolaas van Wijk (1880-1941).
[59] Benoit B. Mandelbrot,et al. Simpie games of strategy occurring in communication through natural languages , 1954, Trans. IRE Prof. Group Inf. Theory.
[60] Floris Takens,et al. On the numerical determination of the dimension of an attractor , 1985 .
[61] Luc Steels,et al. The synthetic modeling of language origins , 1997 .
[62] G. Zipf. The Psycho-Biology Of Language: AN INTRODUCTION TO DYNAMIC PHILOLOGY , 1999 .
[63] Dietrich Stauffer,et al. Microscopic and macroscopic simulation of competition between languages , 2005 .
[64] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[65] Hokky Situngkir,et al. What Can We See from Investment Simulation Based on Generalized (M,2)-Zipf Law? , 2005 .
[66] M. Ausloos,et al. Strategy for investments from Zipf law(s) , 2002, cond-mat/0210499.
[67] Bill Z. Manaris,et al. Investigating Esperanto's Statistical Proportions Relative to other Languages using Neural Networks and Zipf's Law , 2006, Artificial Intelligence and Applications.
[68] M. Kendall. The Statistical Study of Literary Vocabulary , 1944, Nature.
[69] G. Udny Yule,et al. The statistical study of literary vocabulary , 1944 .
[70] R. Ferrer i Cancho,et al. The variation of Zipf's law in human language , 2005 .
[71] Baruch Vilensky,et al. Can analysis of word frequency distinguish between writings of different authors , 1996 .
[72] Wentian Li,et al. Random texts exhibit Zipf's-law-like word frequency distribution , 1992, IEEE Trans. Inf. Theory.
[73] Werner Ebeling,et al. Long-range correlations between letters and sentences in texts , 1995 .
[74] Generalized (m, k)-Zipf Law for Fractional Brownian Motion-Like Time Series with or Without Effect of an Additional Linear Trend , 2003, cond-mat/0209306.
[75] Nadav M. Shnerb,et al. LANGUAGE AND CODIFICATION DEPENDENCE OF LONG-RANGE CORRELATIONS IN TEXTS , 1994 .
[76] Harvard Medical School,et al. Effect of nonstationarities on detrended fluctuation analysis. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[77] I. Prigogine. Exploring Complexity , 2017 .
[78] Universality of Zipf's Law , 2002, cond-mat/0203455.
[79] Ricard V. Solé,et al. Two Regimes in the Frequency of Words and the Origins of Complex Lexicons: Zipf’s Law Revisited* , 2001, J. Quant. Linguistics.