HOME   ::   Back to the Paper   ::   References

Ferrer-i-Cancho, R. (2005) Decoding least effort and scaling in signal frequency distributions. Physica A: Statistical Mechanics and its Applications, 345(1-2):275--284.

References (may not be complete)  [Original format]  [Sort by year]  [Sort by author]  [Sort by citations]

[1] M.A. Nowak, D.C. Krakauer, The evolution of language, Proc. Natl. Acad. Sci. USA 96 (1999) 8028-8033.

Google UIUC

[2] M.A. Nowak, J.B. Plotkin, D.C. Krakauer, The evolutionary language game, J. Theor. Biol. 200 (1999) 147-162.

Google UIUC

[3] R.M. Seyfarth, D. Cheney, P. Marler, Vervet monkey alarm calls: semantic communication in a freeranging primate, Anim. Beha. 28 (1980) 1070-1094.

Google

[4] Y. Ravin, C. Leacock (Eds.), Polysemy, Theoretical and Computational Approaches, Oxford University Press, New York, 2000.

Google

[5] M.D. Hauser, The Evolution of Communication, MIT Press, Cambridge, MA, 1996.

Google UIUC

[6] S.R. Ellis, R.J. Hitchcock, The emergence of Zipf's law: spontaneous encoding by users of a command language, IEEE Trans. Syst. Man Cybern. 16 (3) (1986) 423-427.

Google

[7] J.D. Burgos, Fractal representation of the immune b cell repertoire, BioSystems 39 (1996) 19-24.

Google

[8] J.D. Burgos, P. Moreno-Tovar, Zipf-scaling behavior in the immune system, BioSystems 39 (1996) 227-232.

Google

[9] R.B. Ash, Information Theory, Wiley, New York, 1965.

Google

[10] G.K. Zipf, Human Behaviour and the Principle of Least Effort. An Introduction to Human Ecology, Hafner reprint, New York, 1972, first ed.: Addison-Wesley, Cambridge, MA, 1949.

Google

[11] V.K. Balasubrahmanyan, S. Naranan, Quantitative linguistics and complex system studies, J. Quant. Linguistics 3 (3) (1996) 177-228.

Google

[12] R. Ferrer i Cancho, R.V. SoleŽ , Two regimes in the frequency of words and the origin of complex lexicons: Zipf's law revisited, J. Quant. Linguistics 8 (3) (2001) 165-173.

Google UIUC

[13] Frequencies obtained from A. Kilgarriff's word-frequency list of the British National corpus, (http:// www.itri.brighton.ac.uk/$Adam.Kilgarriff/bnc-readme.html).

Google

[14] R. Ferrer i Cancho, Core and peripheral lexicon through word length optimization, IEEE Trans. Inform. Theory, submitted.

Google

[15] J.F. Michell, Who Wrote Shakespeare?, Thames & Hudson, Slovenia, 1999.

Google

[16] Statistics performed on the bash history file of an anonymous experienced user at the Complex Systems Lab.

Google

[17] R. Ferrer i Cancho, R.V. SoleŽ , Least effort and the origins of scaling in human language, Proc. Natl. Acad. Sci. USA 100 (2003) 788-791.

Google UIUC

[18] B. Mandelbrot, An informational theory of the statistical structure of language, in: W. Jackson (Ed.), Communication Theory, Butterworths, London, 1953, p. 486.

Google

[19] H.A. Simon, On a class of skew distribution functions, Biometrika 42 (1955) 425-440.

Google

[20] G.A. Miller, Some effects of intermittent silence, Am. J. Psychol. 70 (1957) 311-314.

Google

[21] J.S. Nicolis, Chaos and Information Processing, World Scientific, Singapore, 1991.

Google

[22] W. Li, Random texts exhibit Zipf's-law-like word frequency distribution, IEEE Trans. Inform. Theory 38 (6) (1992) 1842-1845.

Google

[23] S. Naranan, V. Balasubrahmanyan, Models for power-law relations in linguistics and information science, J. Quant. Linguistics 5 (1-2) (1998) 35-61.

Google

[24] P. Harremoeš s, F. Tops^e, Zipf's law, hyperbolic distributions and entropy loss, in: IEEE International Symposium on Information Theory, 2002, in press.

Google

[25] W. Li, Letters to the editor, Complexity 3 (1998) 9-10; A.A. Tsonis, C. Schultz, P.A. Tsonis, comments to ``Zipf's law and the structure and evolution of languages'', Complexity 2 (5) (1997) 12-13.

Google

[26] M.A. Montemurro, Beyond the Zipf-Mandelbrot law in quantitative linguistics, Physica A 300 (2001) 567-578 cond-mat/0104066.

Google

[27] L. Pietronero, E. Tosatti, V. Tosatti, A. Vespignani, Explaining the uneven distribution of number in nature: the laws of Benford and Zipf, Physica A 293 (2001) 297-304.

Google

[28] S. Denisov, Fractal binary sequences: Tsallis thermodynamics and the Zipf's law, Phys. Lett. A 235 (1997) 447-451.

Google

[29] A.G. Bashkirov, A.V. Vityazev, Information entropy and power-law distribution for chaotic systems, Physica A 277 (2000) 136-145.

Google

[30] J. Binney, N. Dowrick, A. Fisher, M. Newman, The Theory of Critical Phenomena. An Introduction to the Renormalization Group, Oxford University Press, New York, 1992.

Google

[31] J.N. Kapur, Maximum Entropy Models in Science and Engineering, Wiley, New Delhi, 1989 (Ch. Maximum-entropy discrete univariate probability distributions, pp. 30-43).

Google

[32] E.W. Montroll, M.F. Shlesinger, Maximum entropy formalism, fractals, scaling phenomena, and 1=f noise: a tale of tails, J. Stat. Phys. 32 (1983) 209-230.

Google

[33] H. Haken, Synergetics--An Introduction: Nonequilibrium Phase Transitions & Self-Organization in Physics, Chemistry & Biology, Springer, New York, 1979.

Google

[34] S. Naranan, Statistical laws in information science, language and system of natural numbers: some striking similarities, J. Sci. Ind. Res. 51 (1992) 736-755.

Google

[35] S. Naranan, V. Balasubrahmanyan, Information theoretic models in statistical linguistics--part I: a model for word frequencies, Curr. Sci. 63 (1992) 261-269.

Google

[36] T.M. Cover, J.A. Thomas, Elements of Information Theory, Wiley, New York, 1991.

Google

[37] R. Suzuki, P.L. Tyack, J. Buck, The use of Zipf's law in animal communication analysis, Anim. Beha., accepted.

Google

[38] N. Chomsky, Aspects of the Theory of Syntax, MIT Press, Cambridge, MA, 1965.

Google

[39] D. Bickerton, Language and Species, Chicago University Press, Chicago, 1990.

Google UIUC

[40] R. Jackendoff, Patterns in this Mind, Basic Books, New York, 1994.

Google

 HOME   ::   Back to the Paper   ::   References Comments to: junwang4 you-know-at gmail.com Last update: 11/16/07