Cloze, Frequency, Surprisal, or Plausibility? A Comparative Analysis of Predictors for Local Ambiguity Resolution
Markéta Ceháková1, Jan Chromý1
1Institute of Czech Language and Theory of Communication, Faculty of Arts, Charles University.
None:
This study investigated the cognitive mechanisms underlying the processing of garden-path sentences by examining the influence of verb/structural bias, cloze probability, surprisal, and plausibility. Using self-paced reading with yes/no comprehension questions, we analyzed a structurally diverse set of 11 types of ambiguous and unambiguous sentences. Our results revealed that cloze probability was the most robust predictor of processing difficulty, significantly influencing both reaction times and response accuracy. Specifically, the likelihood of a misanalysis, as indexed by cloze scores, predicted the persistence of incorrect interpretations and reanalysis difficulty. In contrast, verb bias, surprisal, and plausibility exerted weaker or inconsistent effects, with only plausibility showing a limited interaction in the accuracy data. These findings suggest that comprehenders rely heavily on contextual cues when interpreting syntactically ambiguous input, and that reanalysis success depends not solely on structural preferences or lexical predictability but on the overall likelihood of the initial misanalysis and of the intended interpretation.
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