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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)
Abstract: What determines how languages categorize colors? We analyzed results of the World Color Survey (WCS) of 110 languages to show that despite gross differences across languages, communication of chromatic chips is always better for warm colors (yellows/reds) than cool colors (blues/greens). We present an analysis of color statistics in a large databank of natural images curated by human observers for salient objects and show that objects tend to have warm rather than cool colors. These results suggest that the cross-linguistic similarity in color-naming efficiency reflects colors of universal usefulness and provide an account of a principle (color use) that governs how color categories come about. We show that potential methodological issues with the WCS do not corrupt information-theoretic analyses, by collecting original data using two extreme versions of the color-naming task, in three groups: the Tsimane’, a remote Amazonian hunter-gatherer isolate; Bolivian-Spanish speakers; and English speakers. These data also enabled us to test another prediction of the color-usefulness hypothesis: that differences in color categorization between languages are caused by differences in overall usefulness of color to a culture. In support, we found that color naming among Tsimane’ had relatively low communicative efficiency, and the Tsimane’ were less likely to use color terms when describing familiar objects. Color-naming among Tsimane’ was boosted when naming artificially colored objects compared with natural objects, suggesting that industrialization promotes color usefulness. ; National Science Foundation (U.S.) (Award 1534318)
URL: http://hdl.handle.net/1721.1/114985
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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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