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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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How Efficiency Shapes Human Language
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In: https://hal.archives-ouvertes.fr/hal-03552539 ; 2022 (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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Variation in spatial concepts: Different frames of reference on different axes
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Variation in spatial concepts: Different frames of reference on different axes ...
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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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Composition is the core driver of the language-selective network
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In: MIT Press (2019)
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Abstract:
The frontotemporal language network responds robustly and selectively to sentences. But the features of linguistic input that drive this response and the computations that these language areas support remain debated. Two key features of sentences are typically confounded in natural linguistic input: words in sentences (a) are semantically and syntactically combinable into phrase- and clause-level meanings, and (b) occur in an order licensed by the language’s grammar. Inspired by recent psycholinguistic work establishing that language processing is robust to word order violations, we hypothesized that the core linguistic computation is composition, and, thus, can take place even when the word order violates the grammatical constraints of the language. This hypothesis predicts that a linguistic string should elicit a sentence-level response in the language network provided that the words in that string can enter into dependency relationships as in typical sentences. We tested this prediction across two fMRI experiments (total N = 47) by introducing a varying number of local word swaps into naturalistic sentences, leading to progressively less syntactically well-formed strings. Critically, local dependency relationships were preserved because combinable words remained close to each other. As predicted, word order degradation did not decrease the magnitude of the blood oxygen level–dependent response in the language network, except when combinable words were so far apart that composition among nearby words was highly unlikely. This finding demonstrates that composition is robust to word order violations, and that the language regions respond as strongly as they do to naturalistic linguistic input, providing that composition can take place. ; National Institutes of Health: (R00-HD-057522, R01-DC-016607 and R01-DC016950)
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URL: https://hdl.handle.net/1721.1/126576
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How Efficiency Shapes Human Language ; How Efficiency Shapes Human Language, TICS 2019
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In: Prof. Levy via Courtney Crummett (2019)
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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: ISSN: 0364-0213 ; EISSN: 1551-6709 ; Cognitive Science ; https://hal.archives-ouvertes.fr/hal-03552561 ; Cognitive Science, Wiley, 2018, 42 (8), pp.3116-3134. ⟨10.1111/cogs.12689⟩ (2018)
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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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