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Simple Search
Hits 1 – 18 of 18
1
How Efficiency Shapes Human Language
Gibson, Edward
;
Futrell, Richard
;
Piantadosi, Steven
...
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
Ryskin, Rachel
;
Stearns, Laura
;
Bergen, Leon
...
In: bioRxiv (2021)
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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
Gibson, Edward A
;
Futrell, Richard
;
Piantadosi, Steven
...
In: Prof. Levy via Courtney Crummett (2019)
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8
Color naming across languages reflects color use
Ratnasingam, Sivalogeswaran
;
Piantadosi, Steven T.
;
Conway, Bevil R.
...
In: National Academy of Sciences (2018)
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9
Learning Structured Preferences
Bergen, Leon
;
Evans, Owain Rhys
;
Tenenbaum, Joshua B
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
Stearns, Laura
;
Eddy, Marianna
;
Jouravlev, Olessia
...
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
Sandberg, Chaleece
;
Fedorenko, Evelina
;
Kiran, Swathi
...
In: Prof. Gibson via Courtney Crummett (2015)
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16
Nonliteral understanding of number words
Bergen, Leon
;
Kao, Justine T.
;
Wu, Jean Y.
...
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
Gibson, Edward A.
;
Bergen, Leon
;
Piantadosi, Steven T.
In: PNAS (2012)
Abstract:
Sentence processing theories typically assume that the input to our language processing mechanisms is an error-free sequence of words. However, this assumption is an oversimplification because noise is present in typical language use (for instance, due to a noisy environment, producer errors, or perceiver errors). A complete theory of human sentence comprehension therefore needs to explain how humans understand language given imperfect input. Indeed, like many cognitive systems, language processing mechanisms may even be “well designed”–in this case for the task of recovering intended meaning from noisy utterances. In particular, comprehension mechanisms may be sensitive to the types of information that an idealized statistical comprehender would be sensitive to. Here, we evaluate four predictions about such a rational (Bayesian) noisy-channel language comprehender in a sentence comprehension task: (i) semantic cues should pull sentence interpretation towards plausible meanings, especially if the wording of the more plausible meaning is close to the observed utterance in terms of the number of edits; (ii) this process should asymmetrically treat insertions and deletions due to the Bayesian “size principle”; such non-literal interpretation of sentences should (iii) increase with theperceived noise rate of the communicative situation and (iv) decrease if semantically anomalous meanings are more likely to be communicated. These predictions are borne out, strongly suggesting that human language relies on rational statistical inference over a noisy channel. ; National Science Foundation (U.S.) (Grant 0844472, from the Linguistics Program)
URL:
http://hdl.handle.net/1721.1/88255
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