Abstract
Human writings and DNA chains are considered here as n-dimensional random walkers, where n is the number of different symbols appearing in the sequences. Long range scaling behavior appears only for length scales greater than a crossover length ξ and the scaling exponents are non-universal, but comparable to the one found previously. These two languages have similar behavior, but with different crossover lengths and can be considered as a collection of segments of length ξ consisting of randomly arranged symbols, which show non-trivial long range correlations.
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