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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)
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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)
Abstract: One of the most puzzling and important facts about communication is that people do not always mean what they say; speakers often use imprecise, exaggerated, or otherwise literally false descriptions to communicate experiences and attitudes. Here, we focus on the nonliteral interpretation of number words, in particular hyperbole (interpreting unlikely numbers as exaggerated and conveying affect) and pragmatic halo (interpreting round numbers imprecisely). We provide a computational model of number interpretation as social inference regarding the communicative goal, meaning, and affective subtext of an utterance. We show that our model predicts humans’ interpretation of number words with high accuracy. Our model is the first to our knowledge to incorporate principles of communication and empirically measured background knowledge to quantitatively predict hyperbolic and pragmatic halo effects in number interpretation. This modeling framework provides a unified approach to nonliteral language understanding more generally. ; National Science Foundation (U.S.). Graduate Research Fellowship Program
URL: http://hdl.handle.net/1721.1/95752
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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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