The principle states that the entropy rate in a text is constant, i.e., that speakers produce sentences so that on average, all sentences in a text have the same entropy.
as the eye-tracking corpus we used was a corpus of connected sentences, it enabled us to also test another prediction of the entropy rate principle: in context, all sentences should be equally difficult to process, as speakers generate sentences with constant informativeness.