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One nearly ubiquitous assumption in models of linguistic comprehension and of eye movement control in reading alike is of partial modularization between word-level and sentence-level processing: that the outcome of word recognition, and thus the input to sentence-level comprehension, is a categorial representation. Yet such a partial modularization throws away residual uncertainty regarding word identity that might potentially be of value to the comprehender further downstream in the sentence. Here I describe a line of research combining computational modeling with experimental eye-tracking work to explore the consequences of removing this partial modularity assumption.