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1
How Efficiency Shapes Human Language
In: https://hal.archives-ouvertes.fr/hal-03552539 ; 2022 (2022)
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2
Functional pressures and linguistic typology
Meinhardt, Eric. - : eScholarship, University of California, 2021
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3
An ERP index of real-time error correction within a noisy-channel framework of human communication.
Ryskin, Rachel; Stearns, Laura; Bergen, Leon. - : eScholarship, University of California, 2021
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4
An ERP index of real-time error correction within a noisy-channel framework of human communication
In: bioRxiv (2021)
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.
URL: https://hdl.handle.net/1721.1/138212
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5
Speakers Enhance Contextually Confusable Words
Meinhardt, Eric; Bakovic, Eric; Bergen, Leon. - : eScholarship, University of California, 2020
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6
Word Frequency Does Not Predict Grammatical Knowledge in Language Models ...
Yu, Charles; Sie, Ryan; Tedeschi, Nico. - : arXiv, 2020
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7
How Efficiency Shapes Human Language ; How Efficiency Shapes Human Language, TICS 2019
In: Prof. Levy via Courtney Crummett (2019)
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8
Color naming across languages reflects color use
In: National Academy of Sciences (2018)
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9
Learning Structured Preferences
In: Other univ. web domain (2017)
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10
Color naming across languages reflects color use
Gibson, Edward; Futrell, Richard; Jara-Ettinger, Julian. - : National Academy of Sciences, 2017
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11
Joint inference in pragmatic reasoning
Bergen, Leon. - : Massachusetts Institute of Technology, 2016
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12
Processing temporal presuppositions: an event-related potential study
In: Prof. Gibson via Courtney Crummett (2016)
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13
Processing temporal presuppositions: an event-related potential study ...
Jouravlev, Olessia; Stearns, Laura; Bergen, Leon. - : Taylor & Francis, 2016
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14
Processing temporal presuppositions: an event-related potential study ...
Jouravlev, Olessia; Stearns, Laura; Bergen, Leon. - : Taylor & Francis, 2016
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15
A rational inference approach to aphasic language comprehension
In: Prof. Gibson via Courtney Crummett (2015)
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16
Nonliteral understanding of number words
In: National Academy of Sciences (U.S.) (2014)
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17
Rational integration of noisy evidence and prior semantic expectations in sentence interpretation
Gibson, Edward; Bergen, Leon; Piantadosi, Steven T.. - : National Academy of Sciences, 2013
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18
Rational integration of noisy evidence and prior semantic expectations in sentence interpretation
In: PNAS (2012)
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