An ERP index of real-time error correction within a noisy-channel framework of human communication
Recent evidence suggests that language processing is well-adapted to noise in the input (e.g., spelling or speech errors, misreading or mishearing) and that comprehenders readily correct the input via rational inference over possible intended sentences given probable noise corruptions. In the curren...
Main Authors: | Ryskin, Rachel, Stearns, Laura, Bergen, Leon, Eddy, Marianna, Fedorenko, Evelina, Gibson, Edward |
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Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
Format: | Article |
Language: | English |
Published: |
Elsevier BV
2021
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Online Access: | https://hdl.handle.net/1721.1/138212 |
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