Zipf's law and avoidance of excessive synonymy

Cognitive Science

Volumn 32, Issue 7, 2008, Pages 1075-1098

  Manin, Dmitrii ^a  

^a NONE

Author keywords

Semantics; Synonymy; Word frequency; Word meaning; Zipf's law

Indexed keywords

EID: 56349157550     PISSN: 03640213     EISSN: None     Source Type: Journal    
DOI: 10.1080/03640210802020003     Document Type: Article

References (33)

1. Akmajian, A., Harnish, R. M., Demers, R. A. and Farmer, F. K. (1995) Linguistics. An introduction to language and communication, MIT Press, Cambridge, MA
2. Arapov, M. V. and Shrejder, Y. A. (1978) Zakon cipfa i princip dissimmetrii sistem. Semiotics and informatics, pp. 74-95. VINITI, Moscow
3. Baayen, R. and Fermin Moscoso Del Prado, M. (2005) Semantic density and past-tense formation in three Germanic languages. Language, 81, pp. 666-698.
4. Balasubrahmanyan, V. K. and Naranan, S. (2002) Algorithmic information, complexity and Zipf's law. Glottometrics, 4, pp. 1-26.
5. Briscoe, E. J. (2006) Language learning, power laws and sexual selectionLanguage learning, power laws and sexual selection. Proceedings of the 6th international conference on the evolution of language, pp. 19-26. World Scientific
6. Carroll, D. W. (1994) Psychology of language. pp. 242-248. Brooks/Cole Publishing Company, Pacific Grove
7. Crystal, D. (2003) The cambridge encyclopedia of language, Cambridge University Press, Cambridge
8. Ferrer i Cancho, R. (2005) Decoding least effort and scaling in signal frequency distributions. Physica A, 345, pp. 275-284.
9. Ferrer i Cancho, R. (2005) Hidden communication aspects in the exponent of Zipf's law. Glottometrics, 11, pp. 98-119.
10. Ferrer i Cancho, R. (2005) The variation of Zipf's law in human language. The European Physical Journal B-Condensed Matter and Complex Systems, 44, pp. 249-257.
11. Guiraud, P. (1968) The semic matrices of meaning. Social Science Information, 7, pp. 131-139.
12. Hock, H. H. and Joseph, B. D. (1996) Language history, language change, and language relationship, Mouton de Gruyter, Berlin
13. Konetsky, V. (1980) Yesterday's troubles. Salt-ice. Vcherashnie zaboty. Solenyj led., Izvestiya, Moscow
14. Levinson, S. C. (2000) Presumptive meanings: The theory of generalized conversational implicature, MIT Press, Cambridge, MA
15. Li, W. (1992) Random texts exhibit Zipf's-law-like word frequency distribution. IEEE Transactions on Information Theory, 38:6, pp. 1842-1845.
16. Mandelbrot, B. (1953) An informational theory of the statistical structure of languages. Communication theory, pp. 486-502. Butterworth, Woburn, MA
17. Mandelbrot, B. (1966) Information theory and psycholinguistics: A theory of word frequencies. Readings in mathematical social sciences, pp. 350-368. MIT Press, Cambridge, MA
18. Mandelbrot, B. (1982) The fractal geometry of nature, Freeman, New York
19. Manin, Y. I. (1981) Expanding constructive universe. Algorithms in modern mathematics and computer science: Proceedings, Urgench, Uzbek SSR, September 16-22, 1979, Springer-Verlag, Berlin-New York
20. Maslov, Y. S. (1987) Introduction to linguistics. Vvedenie v yazykoznanie, Vysshaya shkola, Moscow
21. Mel'cuk, I. (1988) Semantic description of lexical units in an Explanatory Combinatorial Dictionary: Basic principles and heuristic criteria. International Journal of Lexicography, 1, pp. 165-188.
22. Mel'cuk, I. (1997) Vers une linguistique Sens-Texte. Lecon inaugurale., College de France, Paris
23. Mitzenmacher, M. (2003) A brief history of generative models for power law and lognormal distributions. Internet Math., 1, pp. 226-251.
24. Pado, S. and Lapata, M. (2007) Dependency-based construction of semantic space models. Computational Linguistics, 33:2
25. Sharoff (n.d.), S. The frequency dictionary for Russian.
26. Sharoff, S. (2002) Meaning as use: Exploitation of aligned corpora for the contrastive study of lexical semantics. Proc. of Language Resources and Evaluation Conference (LREC02)., Las Palmas, Spain
27. Simon, H. A. (1955) On a class of skew distribution functions. Biometrica, 42, pp. 425-440.
28. Simon, H. A. (1957) Models of man. 6: On a class of skew distribution functions, John Wiley and Sons, New York
29. Traugott, E. C. and Dasher, R. B. (2005) Regularity in semantic change, Cambridge University Press, Cambridge
30. Wasow, T., Perfors, A. and Beaver, D. (2005) The puzzle of ambiguity. Morphology and The Web of Grammar: Essays in Memory of Steven G. Lapointe., CTCSLI Publications, Stanford
31. Wheeler, E. S. (2002) Zipf's Law and why it works everywhere. Glottometrics, 4, pp. 45-48.
32. Yule, G. (1925) A mathematical theory of evolution based on the conclusions of Dr. J. C. Willis. F.R.S. Philosophical Transactions of the Royal Society of London (Series B), 213, pp. 21-87.
33. Zipf, G. K. (1949) Human behavior and the principle of least effort, Addison-Wesley, Reading, MA