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A verb-frame frequency account of constraints on long-distance dependencies in English
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In: Prof. Gibson (2022)
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An ERP index of real-time error correction within a noisy-channel framework of human communication.
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An ERP index of real-time error correction within a noisy-channel framework of human communication
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In: bioRxiv (2021)
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Abstract:
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 current study, we probed the processing of noisy linguistic input, asking whether well-studied ERP components may serve as useful indices of this inferential process. In particular, we examined sentences where semantic violations could be attributed to noise-for example, in "The storyteller could turn any incident into an amusing antidote", where the implausible word "antidote" is orthographically and phonologically close to the intended "anecdote". We found that the processing of such sentences-where the probability that the message was corrupted by noise exceeds the probability that it was produced intentionally and perceived accurately-was associated with a reduced (less negative) N400 effect and an increased P600 effect, compared to semantic violations which are unlikely to be attributed to noise ("The storyteller could turn any incident into an amusing hearse"). Further, the magnitudes of these ERP effects were correlated with the probability that the comprehender retrieved a plausible alternative. This work thus adds to the growing body of literature that suggests that many aspects of language processing are optimized for dealing with noise in the input, and opens the door to electrophysiologic investigations of the computations that support the processing of imperfect input.
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URL: https://hdl.handle.net/1721.1/138212
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Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward
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In: Prof. Fedorenko (2021)
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Comprehenders model the nature of noise in the environment
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In: PMC (2019)
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Knowledge and Learning of Verb Biases in Amnesia (Manuscript accepted to Brain & Language) ...
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Information integration in modulation of pragmatic inferences during online language comprehension ...
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The Malleability of Linguistic Representations Poses a Challenge to the Priming-based Experimental Approach. Commentary on Branigan & Pickering (2017) ...
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Efficient language processing: the role of memory and visuo-spatial context
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Does bilingualism confer perspective-taking advantages in language use?
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