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One model for the learning of language.
In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022)
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How Efficiency Shapes Human Language
In: https://hal.archives-ouvertes.fr/hal-03552539 ; 2022 (2022)
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3
One model for the learning of language
In: Proc Natl Acad Sci U S A (2022)
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4
Variation in spatial concepts: Different frames of reference on different axes
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
Abstract: The physical properties of space may be universal, but the way people conceptualize space is not. In some groups, people tend to use egocentric space (e.g. left, right) to encode the locations of objects, while in other groups, people encode the same spatial scene using allocentric space (e.g. upriver, downriver). These different spatial Frames of Reference (FoRs) characterize the way people talk about spatial relations and the way they think about them, even when they are not using language. Although spatial language and spatial thinking tend to covary, the root causes of this variation are unclear. Here we propose that this variation in FoR use reflects the spatial discriminability of the relevant spatial continua. In an initial test of this proposal in a group of indigenous Bolivians, we compared FoR use across spatial axes that are known to differ in discriminability. In two non-verbal tests, participants spontaneously used different FoRs on different spatial axes: On the lateral axis, where egocentric (left-right) discrimination is difficult, their behavior was predominantly allocentric; on the sagittal axis, where egocentric (front-back) discrimination is relatively easy, their behavior was predominantly egocentric. These findings support the spatial discriminability hypothesis, which may explain variation in spatial concepts not only across axes, but also across groups, between individuals, and over development.
Keyword: cognitive science
URL: https://escholarship.org/uc/item/3x44v2vq
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Variation in spatial concepts: Different frames of reference on different axes ...
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6
The Child as Hacker
In: PMC (2021)
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7
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
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8
The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions
In: Springer Netherlands (2020)
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9
Recursive sequence generation in monkeys, children, U.S. adults, and native Amazonians
In: Sci Adv (2020)
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10
Composition is the core driver of the language-selective network
In: MIT Press (2019)
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11
How Efficiency Shapes Human Language ; How Efficiency Shapes Human Language, TICS 2019
In: Prof. Levy via Courtney Crummett (2019)
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12
Post Hoc Analysis Decisions Drive the Reported Reading Time Effects in Hackl, Koster-Hale & Varvoutis (2012)
In: Other repository (2019)
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13
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
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14
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
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15
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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17
One-to-one correspondence without language
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18
Word Forms Are Structured for Efficient Use
In: ISSN: 0364-0213 ; EISSN: 1551-6709 ; Cognitive Science ; https://hal.archives-ouvertes.fr/hal-03552561 ; Cognitive Science, Wiley, 2018, 42 (8), pp.3116-3134. &#x27E8;10.1111/cogs.12689&#x27E9; (2018)
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19
Word Forms Are Structured for Efficient Use
In: Prof. Gibson via Courtney Crummett (2018)
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20
Color naming across languages reflects color use
In: National Academy of Sciences (2018)
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