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One model for the learning of language.
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In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022)
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One model for the learning of language
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In: Proc Natl Acad Sci U S A (2022)
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The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions
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In: Springer Netherlands (2020)
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Recursive sequence generation in monkeys, children, U.S. adults, and native Amazonians
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In: Sci Adv (2020)
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Post Hoc Analysis Decisions Drive the Reported Reading Time Effects in Hackl, Koster-Hale & Varvoutis (2012)
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In: Other repository (2019)
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Table of assumptions used in our estimates from Humans store about 1.5 megabytes of information during language acquisition ...
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Table of assumptions used in our estimates from Humans store about 1.5 megabytes of information during language acquisition ...
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Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ...
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Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ...
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Word Forms Are Structured for Efficient Use
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In: Prof. Gibson via Courtney Crummett (2018)
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Color naming across languages reflects color use
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In: National Academy of Sciences (2018)
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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)
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URL: http://hdl.handle.net/1721.1/114985
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Words cluster phonetically beyond phonotactic regularities
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In: Prof. Gibson via Courtney Crummett (2017)
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Wordform Similarity Increases With Semantic Similarity: An Analysis of 100 Languages
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In: Prof. Gibson via Courtney Crummett (2016)
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A Corpus Investigation of Syntactic Embedding in Piraha
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In: PLoS (2015)
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