Both n-gram factors will therefore be included as fixed effects and as by-subject random slopes in the baselines of the remaining evaluations in this study.
it is common for psycholinguistic models to include a measure of n-gram predictability for each fixated word conditioned on its context, but unless probabilities for words between fixations are also included, the probabilities used in this calculation are   Table 1, the standard bigram factor (top line) predicts that the reading time of the region that ends with word 6 depends on word 5, but the probability of word 5 given its context is never included in the model, so an improbable transition between words 4 and 5 would not be caught.