We show the dependence of growth rates on the cumulative word frequency

using words satisfy the criteria

*T*_{i} ≥ 10 years. We verify similar results for threshold values

*T*_{c} = 50, 100, and 200 years. (a) Average growth rate 〈

*r*〉 saturates at relatively constant values for large

*S*. (b) Scaling in the standard deviation of growth rates

*σ*(

*r*|

*S*) ∼

*S*^{–β} for words with large

*S*. This scaling relation is also observed for the growth rates of large economic institutions, ranging in size from companies to entire countries. Here this size-variance relation corresponds to scaling exponent values 0.10 <

*β* < 0.21, which are related to the non-trivial bursting patterns and non-trivial correlation patterns in literature topicality as indicated by the quantitative relation to the Hurst exponent,

*H* = 1 –

*β* shown in. We calculate

*β*_{Eng.} ≈ 0.16 ± 0.01,

*β*_{Eng.fict} ≈ 0.21 ± 0.01,

*β*_{Spa.} ≈ 0.10 ± 0.01 and

*β*_{Heb.} ≈ 0.17 ± 0.01.

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