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Computational and evolutionary aspects of language

Nature volume 417, pages 611–617 (2002)Cite this article

Abstract

Language is our legacy. It is the main evolutionary contribution of humans, and perhaps the most interesting trait that has emerged in the past 500 million years. Understanding how darwinian evolution gives rise to human language requires the integration of formal language theory, learning theory and evolutionary dynamics. Formal language theory provides a mathematical description of language and grammar. Learning theory formalizes the task of language acquisition—it can be shown that no procedure can learn an unrestricted set of languages. Universal grammar specifies the restricted set of languages learnable by the human brain. Evolutionary dynamics can be formulated to describe the cultural evolution of language and the biological evolution of universal grammar.

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Figure 1: The basic objects of formal language theory are alphabets, sentences, languages and grammars.
Figure 2: Three grammars and their corresponding languages.
Figure 3: The Chomsky hierarchy and the logical necessity of universal grammar.
Figure 4: Linguistic coherence evolves if universal grammar (UG) is sufficiently specific.
Figure 5: Two aspects of language evolution.

References

  1. Pinker, S. & Bloom, A. Natural language and natural selection. Behav. Brain Sci. 13, 707–784 (1990)

    Article  Google Scholar 

  2. Jackendoff, R. Possible stages in the evolution of the language capacity. Trends Cogn. Sci. 3, 272–279 (1999)

    Article  CAS  Google Scholar 

  3. Bickerton, D. Language and Species (Univ. Chicago Press, Chicago, 1990)

    Book  Google Scholar 

  4. Lightfoot, D. The Development of Language: Acquisition, Changes and Evolution (Blackwell, Oxford, 1999).

  5. Brandon, R. & Hornstein, N. From icon to symbol: Some speculations on the evolution of natural language. Phil. Biol. 1, 169–189 (1986)

    Article  Google Scholar 

  6. Hurford, J. R., Studdert-Kennedy, M. A. & Knight, C. (eds) Approaches to the Evolution of Language (Cambridge Univ. Press, Cambridge, UK, 1998)

  7. Newmeyer, F. Functional explanation in linguistics and the origins of language. Lang. Commun. 11, 3–28, 97–108 (1991)

    Article  Google Scholar 

  8. Lieberman, P. The Biology and Evolution of Language (Harvard Univ. Press, Cambridge, Massachusetts, 1984)

    Google Scholar 

  9. Maynard Smith, J. & Szathmary, E. The Major Transitions in Evolution (Freeman Spektrum, Oxford, 1995)

    Google Scholar 

  10. Hawkins, J. A. & Gell-Mann, M. The Evolution of Human Languages (Addison-Wesley, Reading, Massachusetts, 1992)

    Google Scholar 

  11. Aitchinson, J. The Seeds of Speech (Cambridge Univ. Press, Cambridge, UK, 1996)

    Google Scholar 

  12. Cavalli-Sforza, L. L. Genes, peoples and languages. Proc. Natl Acad. Sci. USA 94, 7719–7724 (1997)

    Article  ADS  CAS  Google Scholar 

  13. Gopnik, M. & Crago, M. Familial aggregation of a developmental language disorder. Cognition 39, 1–50 (1991)

    Article  CAS  Google Scholar 

  14. Lai, C. S. L., Fisher, S. E., Hurst, J. A., Vargha-Khadem, F. & Monaco, A. P. A forhead-domain gene is mutated in a severe speech and language disorder. Nature 413, 519–523 (2001)

    Article  ADS  CAS  Google Scholar 

  15. Deacon, T. The Symbolic Species (Penguin, London, 1997)

    Google Scholar 

  16. Vargha-Khadem, F. et al. Neural basis of an inherited speech and language disorder. Proc. Natl Acad. Sci. USA 95, 12695–12700 (1998)

    Article  ADS  CAS  Google Scholar 

  17. Smith, W. J. The Behaviour of Communicating (Harvard Univ. Press, Cambridge, UK, 1977)

    Google Scholar 

  18. Dunbar, R. Grooming, Gossip, and the Evolution of Language (Cambridge Univ. Press, Cambridge, UK, 1996)

    Google Scholar 

  19. Fitch, W. T. The evolution of speech: a comparative review. Trends Cogn. Sci. 4, 258–267 (2000)

    Article  CAS  Google Scholar 

  20. Hauser, M. D. The Evolution of Communication (Harvard Univ. Press, Cambridge, Massachusetts, 1996)

    Google Scholar 

  21. Chomsky, N. A. Syntactic Structures (Mouton, New York, 1957)

    MATH  Google Scholar 

  22. Harrison, M. A. Introduction to Formal Language Theory (Addison-Wesley, Reading, Massachusetts, 1978)

    MATH  Google Scholar 

  23. Gold, E. M. Language identification in the limit. Informat. Control 10, 447–474 (1967)

    Article  MathSciNet  Google Scholar 

  24. Vapnik, V. N. & Chervonenkis, A. Y. On the uniform convergence of relative frequencies of events to their probabilities. Theor. Prob. Applicat. 17, 264–280 (1971)

    Article  Google Scholar 

  25. Valiant, L. G. A theory of learnable. Commun. ACM 27, 436–445 (1984)

    Article  Google Scholar 

  26. Vapnik, V. N. Statistical Learning Theory (Wiley, New York, 1998)

    MATH  Google Scholar 

  27. Osherson, D., Stob, M. & Weinstein, S. Systems That Learn (MIT Press, Cambridge, Massachusetts, 1986)

    Google Scholar 

  28. Pinker, S. Formal models of language learning. Cognition 7, 217–283 (1979)

    Article  CAS  Google Scholar 

  29. Pullum, G. K. & Gazdar, G. Natural languages and context free languages. Linguist. Phil. 4, 471–504 (1982)

    Article  Google Scholar 

  30. Shieber, S. M. Evidence against the context-freeness of natural language. Linguist. Phil. 8, 333–343 (1985)

    Article  Google Scholar 

  31. Chomsky, N. A. Lectures on Government and Binding: The Pisa Lectures (Foris, Dordrecht, 1984)

    Google Scholar 

  32. Sadock, J. M. Autolexical Syntax: A Theory of Parallel Grammatical Representations. Studies in Contemporary Linguistics (Univ. Chicago Press, Chicago, 1991)

    Google Scholar 

  33. Bresnan, J. Lexical-Functional Syntax (Blackwells, London, 2001)

    Google Scholar 

  34. Pollard, C. J. & Sag, I. A. Head-Driven Phrase Structure Grammar (Univ. Chicago Press, Chicago, 1994)

    Google Scholar 

  35. Chomsky, N. Language and Mind (Harcourt Brace Jovanovich, New York, 1972)

    Google Scholar 

  36. Wexler, K. & Culicover, P. Formal Principles of Language Acquisition (MIT Press, Cambridge, Massachusetts, 1980)

    Google Scholar 

  37. Jackendoff, R. Foundations of Language (Oxford Univ. Press, Oxford, 2001)

    Google Scholar 

  38. Chomsky, N. in Explanation in Linguistics (eds Hornstein, N. & Lightfoot, D.) 123–146 (Longman, London, 1981)

    Google Scholar 

  39. Baker, M. C. Atoms of Language (Basic Books, New York, 2001)

    Google Scholar 

  40. Prince, A. & Smolensky, P. Optimality: From neural networks to universal grammar. Science 275, 1604–1610 (1997)

    Article  MathSciNet  CAS  Google Scholar 

  41. Elman, J. L. Rethinking Innateness (MIT Press, Cambridge, Massachusetts, 1996)

    Google Scholar 

  42. Tomasello, M. The Cultural Origins of Human Cognition (Harvard Univ. Press, Cambridge, Massachusetts, 1999)

    Google Scholar 

  43. Sampson, G. Educating Eve: The Language Instinct Debate (Cassell Academic, London, 1999)

    Google Scholar 

  44. Greenberg, J. H., Ferguson, C. A. & Moravcsik, E. A. (eds) Universals of Human Language (Stanford Univ. Press, Stanford, 1978)

  45. Comrie, B. Language Universals and Linguistic Typology (Univ. Chicago Press, Chicago, 1981)

    Google Scholar 

  46. Geman, S., Bienenstock, E. & Doursat, R. Neural networks and the bias/variance dilemma. Neural Comput. 4, 1–58 (1992)

    Article  Google Scholar 

  47. Langacker, R. Foundations of Cognitive Linguistics Vol. 1 (Stanford Univ. Press, Stanford, 1987)

    Google Scholar 

  48. Lakoff, G. Women, Fire and Dangerous Things: What Categories Reveal about the Mind (Univ. Chicago Press, Chicago, 1987)

    Book  Google Scholar 

  49. Bates, E. & MacWhinney, B. Language Acquisition: The State of the Art (Cambridge Univ. Press, Cambridge, 1982)

    Google Scholar 

  50. Aoki, K. & Feldman, M. W. Toward a theory for the evolution of cultural communication: Coevolution of signal transmission and reception. Proc. Natl Acad. Sci. USA 84, 7164–7168 (1987)

    Article  ADS  MathSciNet  CAS  Google Scholar 

  51. Hurford, J. R. Biological evolution of the Saussurean sign as a component of the language acquisition device. Lingua 77, 187–222 (1989)

    Article  Google Scholar 

  52. Cangelosi, A. & Parisi, D. Simulating the Evolution of Language (Springer, London, 2002)

    Book  Google Scholar 

  53. Kirby, S. & Hurford, J. Proc. Fourth European Conf. on Artificial Life (eds Husbands, P. & Harvey, I.) 493–502 (MIT Press, Cambridge, Massachusetts, 1997)

    Google Scholar 

  54. Steels, L. Proc. Fifth Artificial Life Conf. (eds Langton, C. G. & Shimohara, T.) 113–131 (MIT Press, Tokyo, 1996)

    Google Scholar 

  55. Nowak, M. A. & Krakauer, D. C. The evolution of language. Proc. Natl Acad. Sci. USA 96, 8028–8033 (1999)

    Article  ADS  CAS  Google Scholar 

  56. Nowak, M. A., Plotkin, J. B. & Jansen, V. A. A. Evolution of syntactic communication. Nature 404, 495–498 (2000)

    Article  ADS  CAS  Google Scholar 

  57. Komarova, N. L. & Nowak, M. A. Evolutionary dynamics of the lexical matrix. Bull. Math. Biol. 63, 451–485 (2001)

    Article  CAS  Google Scholar 

  58. Christiansen, M. H., Dale, R. A. C., Ellefson, M. R. & Conway, C. M. in Simulating the Evolution of Language (eds Cangelosi, A. & Parisi, D.) 165–187 (Springer, London, 2002)

    Book  Google Scholar 

  59. Hashimoto, T. & Ikegami, T. Emergence of net-grammar in communicating agents. Biosystems 38, 1–14 (1996)

    Article  CAS  Google Scholar 

  60. Hazlehurst, B. & Hutchins, E. The emergence of propositions from the coordination of talk and action in a shared worlds. Lang. Cogn. Process. 13, 373–424 (1998)

    Article  Google Scholar 

  61. Pinker, S. The Language Instinct (Morrow, New York, 1994)

    Book  Google Scholar 

  62. Nowak, M. A., Komarova, N. L. & Niyogi, P. Evolution of universal grammar. Science 291, 114–118 (2001)

    Article  ADS  MathSciNet  CAS  Google Scholar 

  63. Komarova, N. L. & Rivin, I. Mathematics of learning. Preprint math.PR/0105235 at 〈http://lanl.arXiv.org〉 (2001).

  64. Rivin, I. Yet another zeta function and learning. Preprint cs.LG/0107033 at 〈http://lanl.arXiv.org〉 (2001).

  65. Lightfoot, D. How to Set Parameters: Arguments from Language Change (MIT Press, Cambridge, Massachusetts, 1991)

    Google Scholar 

  66. Kroch, A. Reflexes of grammar in patterns of language change. Lang. Variat. Change 1, 199–244 (1989)

    Article  Google Scholar 

  67. Wang, W. S. Y. in The Origins and Past of Modern Humans (eds Omoto, K. & Tobias, P. V.) 247–262 (World Scientific, Singapore, 1998)

    Google Scholar 

  68. Niyogi, P. & Berwick, R. C. Evolutionary consequences of language learning. Linguist. Phil. 20, 697–719 (1997)

    Article  Google Scholar 

  69. Hopper, P. & Traugott, E. Grammaticalization (Cambridge Univ. Press, Cambridge, 1993)

    Google Scholar 

  70. de Graff, M. Language Creation and Language Change: Creolization, Diachrony and Development (MIT Press, Cambridge, MA, 1999)

    Google Scholar 

  71. Mufwene, S. The Ecology of Language Evolution (Cambridge Univ. Press, Cambridge, 2001)

    Book  Google Scholar 

  72. Angluin, D. Learning regular sets from queries and counterexamples. Informat. Comput. 75, 87–106 (1987)

    Article  MathSciNet  Google Scholar 

  73. Angluin, D. & Kharitonov, M. When won't membership queries help? J. Comput. Syst. Sci. 50, 336–355 (1995)

    Article  MathSciNet  Google Scholar 

  74. Gasarch, W. & Smith, C. Learning via queries. J. Assoc. Comput. Machin. 39, 649–674 (1992)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

Support from the David and Lucille Packard foundation, the Leon Levy and Shelby White initiatives fund, the Florence Gould foundation, the Ambrose Monell foundation, the National Science Foundation and J. E. Epstein is acknowledged.

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Authors and Affiliations

  1. Institute for Advanced Study, Einstein Drive, Princeton, New Jersey, 08540, USA

    Martin A. Nowak & Natalia L. Komarova

  2. Department of Mathematics, University of Leeds, Leeds, LS2 9JT, UK

    Natalia L. Komarova

  3. Department of Computer Science, University of Chicago, Chicago, Illinois, 60637, USA

    Partha Niyogi

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  1. Martin A. Nowak
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Correspondence to Martin A. Nowak.

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Nowak, M., Komarova, N. & Niyogi, P. Computational and evolutionary aspects of language. Nature 417, 611–617 (2002). https://doi.org/10.1038/nature00771

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