Document retrieval algorithms and theories of human language processing often assume that texts are generated by a Poisson process in which each word has a stationary frequency.  Word frequencies actually fluctuate greatly, at time scales from sentences through decades or centuries. In this talk, I will discuss results on modeling these fluctuations. I will also present experimental results on the role they place in human language processing.