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In a self\u2010paced reading study, we use lexical subcategorization distributions to factorially manipulate both the strength of expectations and the uncertainty about them. We compare two types of uncertainty: uncertainty about the verb's complement, reflecting the next prediction step; and uncertainty about the full sentence, reflecting an unbounded number of prediction steps. We find that uncertainty about the full structure, but not about the next step, was a significant predictor of processing difficulty: Greater reduction in uncertainty was correlated with increased reading times (RTs). We additionally replicated previously observed effects of expectation violation (surprisal), orthogonal to the effect of uncertainty. This suggests that both surprisal and uncertainty affect human RTs. We discuss the consequences for theories of sentence comprehension.<\/jats:p>","DOI":"10.1111\/cogs.12274","type":"journal-article","created":{"date-parts":[[2015,8,19]],"date-time":"2015-08-19T05:54:13Z","timestamp":1439963653000},"page":"1382-1411","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":71,"title":["Uncertainty and Expectation in Sentence Processing: Evidence From Subcategorization Distributions"],"prefix":"10.1111","volume":"40","author":[{"given":"Tal","family":"Linzen","sequence":"first","affiliation":[{"name":"Department of Linguistics New York University"}]},{"given":"T. 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