N-grams are generalized words consisting of N consecutive symbols, as they are used in a text. This paper determines the rank-frequency distribution for redundant N-grams. For entire texts this is known to be Zipf's law (i.e., an inverse power law). For N-grams, however, we show that the rank (r)-frequency distribution is $${\text{P}}_{\text{N}} \left( {\text{r}} \right) = \frac{{\text{C}}}{{{\text{(}}\psi _{\text{N}} ({\text{r))}}^\beta }},$$ , where ψN is the inverse function of fN(x)=x lnN−1x. Here we assume that the rank-frequency distribution of the symbols follows Zipf's law with exponent β.