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Human language is massively ambiguous, yet we are generally able to identify the intended meanings of the sentences we hear and read quickly and accurately. How we manage and resolve ambiguity incrementally during real-time language comprehension given our cognitive resources and constraints is a major question in human cognition. Previous research investigating resource constraints on lexical ambiguity resolution has yielded conflicting results. Here we present results from two experiments in which we recorded eye movements to test for evidence of resource constraints during lexical ambiguity resolution. We embedded moderately biased homographs in sentences with neutral prior context and either long or short regions of text before disambiguation to the dominant or subordinate interpretation. The length of intervening material had no effect on ease of disambiguation. Instead, we found only a main effect of meaning at disambiguation, such that disambiguating to the subordinate meaning of the homograph was more difficult—results consistent with the reordered access model and contemporary probabilistic models, but inconsistent with the capacity-constrained model. [ABSTRACT FROM AUTHOR]