In this paper, we present another rational model of eye movement control in reading that, like Reichle and Laurent, makes predictions for fixation durations and locations, but which focuses instead on the dynamics of word identification at the core of the task of reading.
our model identifies the words in a sentence by performing Bayesian inference combining noisy input from a realistic visual model with a language model that takes context into account.