A Predictive Coding Model for Online Sentence Processing
Predictive coding
DOI:
10.31234/osf.io/ugzyx_v1
Publication Date:
2025-04-06T18:10:30Z
AUTHORS (4)
ABSTRACT
Computational approaches to prediction in online sentence processing tend be dominated by computation-level surprisal theory, offering few insights into underlying cognitive mechanisms. Conversely, predictive coding is an algorithmic theory grounded neuroscience, but it has rarely been employed the study of language processing, part because its areas application have not involved sequential processing. Building on a recently proposed temporal model, we present what our knowledge first exploration broad-coverage We investigate model at non-toy scale using naturally occurring language, establishing validity via comparison with reading times, and link measurable aspects discussions mechanism for Our results suggest that models are valuable complement as route progress process-oriented theories comprehension.
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