Noisy-channel language comprehension in aphasia: A Bayesian mixture modeling approach
Individuals with “agrammatic” receptive aphasia have long been known to rely on semantic plausibility rather than syntactic cues when interpreting sentences. In contrast to early interpretations of this pattern as indicative of a deficit in syntactic knowledge, a recent proposal views agrammatic com...
Main Authors: | Ryskin, Rachel, Gibson, Edward, Kiran, Swathi |
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Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
Format: | Article |
Language: | English |
Published: |
Springer US
2025
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Online Access: | https://hdl.handle.net/1721.1/158279 |
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