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Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (48)
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Hits 1 – 20 of 48
1
A verb-frame frequency account of constraints on long-distance dependencies in English
Liu, Yingtong
;
Ryskin, Rachel
;
Futrell, Richard
...
In: Prof. Gibson (2022)
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2
Dependency locality as an explanatory principle for word order
Futrell, Richard
;
Levy, Roger P
;
Gibson, Edward A
In: Prof. Levy (2022)
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3
Extraction from subjects: Differences in acceptability depend on the discourse function of the construction
Abeillé, Anne
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Hemforth, Barbara
;
Winckel, Elodie
...
In: Prof. Gibson (2022)
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4
Syntactic dependencies correspond to word pairs with high mutual information
Futrell, Richard
;
Qian, Peng
;
Gibson, Edward A
...
In: Association for Computational Linguistics (2021)
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5
Word Order Predicts Cross‐Linguistic Differences in the Production of Redundant Color and Number Modifiers
Wu, Sarah A
;
Gibson, Edward A
In: MIT web domain (2021)
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6
The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions
Futrell, Richard
;
Gibson, Edward A
;
Tily, Harry J.
...
In: Springer Netherlands (2020)
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7
Comprehenders model the nature of noise in the environment
Ryskin, Rachel A
;
Futrell, Richard
;
Kiran, Swathi
...
In: PMC (2019)
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8
Partial Truths: Adults Choose to Mention Agents and Patients in Proportion to Informativity, Even If It Doesn’t Fully Disambiguate the Message
Kline, Melissa
;
Schulz, Laura E
;
Gibson, Edward A
In: MIT Press (2019)
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9
Word Forms Are Structured for Efficient Use
Mahowald, Kyle Adam
;
Dautriche, Isabelle
;
Gibson, Edward A
...
In: Prof. Gibson via Courtney Crummett (2018)
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10
Color naming across languages reflects color use
Ratnasingam, Sivalogeswaran
;
Piantadosi, Steven T.
;
Conway, Bevil R.
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Gibson, Edward A
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Futrell, Richard Landy Jones
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Jara-Ettinger, Julian
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Mahowald, Kyle Adam
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Bergen, Leon
;
Gibson, Mitchell
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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11
Tracking Colisteners’ Knowledge States During Language Comprehension
Jouravlev, Olessia
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Schwartz, Rachael
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Ayyash, Dima
...
In: Prof. Gibson via Courtney Crummett (2018)
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12
SNAP judgments: A small N acceptability paradigm (SNAP) for linguistic acceptability judgments: Online Appendices
Graff, Peter
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Hartman, Jeremy
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Mahowald, Kyle Adam
...
In: Language (2018)
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13
Words cluster phonetically beyond phonotactic regularities
Dautriche, Isabelle
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Christophe, Anne
;
Piantadosi, Steven T.
...
In: Prof. Gibson via Courtney Crummett (2017)
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14
A meta-analysis of syntactic priming in language production
James, Ariel
;
Mahowald, Kyle Adam
;
Futrell, Richard Landy Jones
...
In: Prof. Gibson via Courtney Crummett (2016)
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15
Wordform Similarity Increases With Semantic Similarity: An Analysis of 100 Languages
Dautriche, Isabelle
;
Piantadosi, Steven T.
;
Mahowald, Kyle Adam
...
In: Prof. Gibson via Courtney Crummett (2016)
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16
L2 processing as noisy channel language comprehension
Futrell, Richard Landy Jones
;
Gibson, Edward A
In: Prof. Gibson via Courtney Crummett (2016)
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17
Don’t Underestimate the Benefits of Being Misunderstood
Konieczny, Lars
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Hemforth, Barbara
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Gibson, Edward A
...
In: Prof. Gibson via Courtney Crummett (2016)
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18
A Corpus Investigation of Syntactic Embedding in Piraha
Stearns, Laura
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Everett, Daniel L.
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Piantadosi, Steven T.
...
In: PLoS (2015)
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19
A rational inference approach to aphasic language comprehension
Sandberg, Chaleece
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Fedorenko, Evelina
;
Kiran, Swathi
...
In: Prof. Gibson via Courtney Crummett (2015)
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20
Experiments with Generative Models for Dependency Tree Linearization
Futrell, Richard Landy Jones
;
Gibson, Edward A.
In: MIT web domain (2015)
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