Matt Traxler
Flexibility of Predictive Processing
Participante
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Matt Traxler
Matt Traxler
Matt Traxler is a psycholinguist whose research focuses on syntactic processing, eye-movements and reading, and individual differences. He uses eye-tracking and ERPs to investigate language processing and comprehension in healthy adults, deaf adults, and patients with schizophrenia. He lives at his house with his wife, Michelle, a cat named Nedward, and a dog named Gunnar Blau.
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Matt Traxler
Flexibility of Predictive Processing
Contemporary accounts of language emphasize predictive processing as a major contributor to processing load during interpretation (Altmann & Kamide, 1999, etc.). Accounts differ with regards to the mechanisms that support prediction during language processing (Pickering & Gambi, 2018). Bayesian/Information-theoretic accounts view prediction as resulting from automatic spreading activation in lexical representations based on prior established patterns of association (Hale, 2006; Levy, 2008). These accounts lead to models including entropy and surprisal as key indices of processing load. Evidence for these accounts can be found in analyses of n-gram correlations with processing times (at the word level) and exposure effects on processing times (at the sentence level). We have been developing an alternative, two-factor account under which both predictive and integration processes contribute to processing load. Further, rather than responding reflexively to pattern information activated by resonance-like processes, we view comprehenders as flexibly adapting to cues available in the wider context. I will discuss recent eye-tracking and EEG/event-related potential (ERPs) experiments that evaluate hypotheses relating to predictive processing during language interpretation.