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1
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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2
One model for the learning of language
In: Proc Natl Acad Sci U S A (2022)
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3
The Child as Hacker
In: PMC (2021)
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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
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5
The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions
In: Springer Netherlands (2020)
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6
Recursive sequence generation in monkeys, children, U.S. adults, and native Amazonians
In: Sci Adv (2020)
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7
Post Hoc Analysis Decisions Drive the Reported Reading Time Effects in Hackl, Koster-Hale & Varvoutis (2012)
In: Other repository (2019)
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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
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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
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10
Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ...
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11
Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ...
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12
One-to-one correspondence without language
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13
Word Forms Are Structured for Efficient Use
In: Prof. Gibson via Courtney Crummett (2018)
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14
Color naming across languages reflects color use
In: National Academy of Sciences (2018)
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15
Words cluster phonetically beyond phonotactic regularities
In: Prof. Gibson via Courtney Crummett (2017)
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16
The Natural Stories Corpus ...
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17
Color naming across languages reflects color use
Gibson, Edward; Futrell, Richard; Jara-Ettinger, Julian. - : National Academy of Sciences, 2017
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18
Wordform Similarity Increases With Semantic Similarity: An Analysis of 100 Languages
In: Prof. Gibson via Courtney Crummett (2016)
Abstract: Although the mapping between form and meaning is often regarded as arbitrary, there are in fact well-known constraints on words which are the result of functional pressures associated with language use and its acquisition. In particular, languages have been shown to encode meaning distinctions in their sound properties, which may be important for language learning. Here, we investigate the relationship between semantic distance and phonological distance in the large-scale structure of the lexicon. We show evidence in 100 languages from a diverse array of language families that more semantically similar word pairs are also more phonologically similar. This suggests that there is an important statistical trend for lexicons to have semantically similar words be phonologically similar as well, possibly for functional reasons associated with language learning. ; Eunice Kennedy Shriver National Institute of Child Health and Human Development (U.S.) (Grant F32HD070544)
URL: http://hdl.handle.net/1721.1/113025
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19
A Corpus Investigation of Syntactic Embedding in Pirahã
Futrell, Richard; Stearns, Laura; Everett, Daniel L.. - : Public Library of Science, 2016
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20
A Corpus Investigation of Syntactic Embedding in Piraha
In: PLoS (2015)
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