Grammatical context constrains lexical competition in spoken word recognition.

When perceiving spoken language, listeners must match the incoming acoustic phonetic input to lexical representations in memory. Models that quantify this process propose that the input activates multiple lexical representations in parallel and that these activated representations compete for recognition (Weber & Scharenborg, 2012). In two experiments, we assessed how grammatically constraining contexts alter the process of lexical competition. The results suggest that grammatical context constrains the lexical candidates that are activated to grammatically appropriate competitors. Stimulus words with little competition from items of the same grammatical class benefit more from the addition of grammatical context than do words with more within-class competition. The results provide evidence that top-down contextual information is integrated in the early stages of word recognition. We propose adding a grammatical class level of analysis to existing models of word recognition to account for these findings.