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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 27 1 One model for the learning of language. Yang, Yuan; Piantadosi, Steven T In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022) BASE Show details 2 One model for the learning of language Yang, Yuan; Piantadosi, Steven T. In: Proc Natl Acad Sci U S A (2022) BASE Show details 3 The Child as Hacker Rule, Joshua S; Tenenbaum, Joshua B; Piantadosi, Steven T In: PMC (2021) BASE Show details 4 The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions [<Journal>] Futrell, Richard [Verfasser]; Gibson, Edward [Verfasser]; Blank, Idan [Verfasser]. DNB Subject Category Language Show details 5 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) BASE Show details 6 Recursive sequence generation in monkeys, children, U.S. adults, and native Amazonians Ferrigno, Stephen; Cheyette, Samuel J.; Piantadosi, Steven T.... In: Sci Adv (2020) BASE Show details 7 Post Hoc Analysis Decisions Drive the Reported Reading Time Effects in Hackl, Koster-Hale & Varvoutis (2012) Gibson, Edward; Piantadosi, Steven T; Levy, Roger In: Other repository (2019) BASE Show details 8 Table of assumptions used in our estimates from Humans store about 1.5 megabytes of information during language acquisition ... Mollica, Francis; Piantadosi, Steven T.. - : The Royal Society, 2019 BASE Show details 9 Table of assumptions used in our estimates from Humans store about 1.5 megabytes of information during language acquisition ... Mollica, Francis; Piantadosi, Steven T.. - : The Royal Society, 2019 BASE Show details 10 Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ... Mollica, Francis; Piantadosi, Steven T.. - : Figshare, 2019 BASE Show details 11 Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ... Mollica, Francis; Piantadosi, Steven T.. - : Figshare, 2019 BASE Show details 12 One-to-one correspondence without language Koopman, Sarah E.; Arre, Alyssa M.; Piantadosi, Steven T.. - : The Royal Society, 2019 BASE Show details 13 Word Forms Are Structured for Efficient Use Mahowald, Kyle Adam; Dautriche, Isabelle; Gibson, Edward A... In: Prof. Gibson via Courtney Crummett (2018) BASE Show details 14 Color naming across languages reflects color use Ratnasingam, Sivalogeswaran; Piantadosi, Steven T.; Conway, Bevil R.; Gibson, Edward A; Futrell, Richard Landy Jones; Jara-Ettinger, Julian; Mahowald, Kyle Adam; 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 BASE Hide details 15 Words cluster phonetically beyond phonotactic regularities Dautriche, Isabelle; Christophe, Anne; Piantadosi, Steven T.... In: Prof. Gibson via Courtney Crummett (2017) BASE Show details 16 The Natural Stories Corpus ... Futrell, Richard; Gibson, Edward; Tily, Hal. - : arXiv, 2017 BASE Show details 17 Color naming across languages reflects color use Gibson, Edward; Futrell, Richard; Jara-Ettinger, Julian. - : National Academy of Sciences, 2017 BASE Show details 18 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) BASE Show details 19 A Corpus Investigation of Syntactic Embedding in Pirahã Futrell, Richard; Stearns, Laura; Everett, Daniel L.. - : Public Library of Science, 2016 BASE Show details 20 A Corpus Investigation of Syntactic Embedding in Piraha Stearns, Laura; Everett, Daniel L.; Piantadosi, Steven T.... In: PLoS (2015) BASE Show details Page: 1 2

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