Bibliography
- Aarseth, E.J. (1997). Cybertext: Perspectives on Ergodic Literature. Baltimore, MD: Johns Hopkins University Press.
- Adams, T.M. and Nobel, A.B. (2010). Uniform convergence of Vapnik‐Chervonenkis classes under ergodic sampling. The Annals of Probability 38 (4): 1345–1367.
- Adger, D. (2019). Language Unlimited: The Science Behind Our Most Creative Power. Oxford: Oxford University Press.
- Ahlswede, R., Balkenhol, B., and Khachatrian, L.H. (1996). Some properties of fix‐free codes. Proceedings of the 1st INTAS International Seminar on Coding Theory and Combinatorics, 1996, Thahkadzor, Armenia, pp. 20–33.
- Algoet, P.H. and Cover, T.M. (1988). A sandwich proof of the Shannon‐McMillan‐Breiman theorem. The Annals of Probability 16: 899–909.
- Allouche, J.‐P. and Shallit, J. (2003). Automatic Sequences. Theory, Applications, Generalizations. Cambridge: Cambridge University Press.
- Altmann, G. (1980). Prolegomena to Menzerath's law. Glottometrika 2: 1–10.
- Altmann, E.G., Pierrehumbert, J.B., and Motter, A.E. (2009). Beyond word frequency: bursts, lulls, and scaling in the temporal distributions of words. PLoS ONE 4: e7678.
- Arratia, R. and Waterman, M.S. (1989). The Erdös‐Rényi strong law for pattern matching with a given proportion of mismatches. The Annals of Probability 17: 1152–1169.
- Baayen, R.H. (2001). Word frequency distributions. Dordrecht: Kluwer Academic Publishers.
- Barron, A.R. (1985a). The strong ergodic theorem for densities: generalized Shannon‐McMillan‐Breiman theorem. ...
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