Readers make targeted regressions to plausible errors in reanalysis of "noisy-channel garden-path" sentences
A new paper explores how readers process complex sentences that contain plausible errors. Researchers observed that readers make specific eye movements, regressing to earlier parts of the text when later information suggests a mistake. These findings support models of language comprehension that account for noisy-channel processing and reanalysis of information. AI
IMPACT Provides insights into how language models might better understand and process complex or erroneous text.