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Piantadosi, Steven T. (23)
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (10)
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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)
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2
One model for the learning of language
Yang, Yuan
;
Piantadosi, Steven T.
In: Proc Natl Acad Sci U S A (2022)
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3
The Child as Hacker
Rule, Joshua S
;
Tenenbaum, Joshua B
;
Piantadosi, Steven T
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
Futrell, Richard
;
Gibson, Edward A
;
Tily, Harry J.
...
In: Springer Netherlands (2020)
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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)
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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)
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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" ...
Mollica, Francis
;
Piantadosi, Steven T.
. - : Figshare, 2019
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11
Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ...
Mollica, Francis
;
Piantadosi, Steven T.
. - : Figshare, 2019
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12
One-to-one correspondence without language
Koopman, Sarah E.
;
Arre, Alyssa M.
;
Piantadosi, Steven T.
. - : The Royal Society, 2019
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13
Word Forms Are Structured for Efficient Use
Mahowald, Kyle Adam
;
Dautriche, Isabelle
;
Gibson, Edward A
...
In: Prof. Gibson via Courtney Crummett (2018)
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14
Color naming across languages reflects color use
Ratnasingam, Sivalogeswaran
;
Piantadosi, Steven T.
;
Conway, Bevil R.
...
In: National Academy of Sciences (2018)
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15
Words cluster phonetically beyond phonotactic regularities
Dautriche, Isabelle
;
Christophe, Anne
;
Piantadosi, Steven T.
...
In: Prof. Gibson via Courtney Crummett (2017)
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16
The Natural Stories Corpus ...
Futrell, Richard
;
Gibson, Edward
;
Tily, Hal
. - : arXiv, 2017
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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
Dautriche, Isabelle
;
Piantadosi, Steven T.
;
Mahowald, Kyle Adam
...
In: Prof. Gibson via Courtney Crummett (2016)
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19
A Corpus Investigation of Syntactic Embedding in Pirahã
Futrell, Richard
;
Stearns, Laura
;
Everett, Daniel L.
;
Piantadosi, Steven T.
;
Gibson, Edward
. - : Public Library of Science, 2016
Abstract:
The Pirahã language has been at the center of recent debates in linguistics, in large part because it is claimed not to exhibit recursion, a purported universal of human language. Here, we present an analysis of a novel corpus of natural Pirahã speech that was originally collected by Dan Everett and Steve Sheldon. We make the corpus freely available for further research. In the corpus, Pirahã sentences have been shallowly parsed and given morpheme-aligned English translations. We use the corpus to investigate the formal complexity of Pirahã syntax by searching for evidence of syntactic embedding. In particular, we search for sentences which could be analyzed as containing center-embedding, sentential complements, adverbials, complementizers, embedded possessors, conjunction or disjunction. We do not find unambiguous evidence for recursive embedding of sentences or noun phrases in the corpus. We find that the corpus is plausibly consistent with an analysis of Pirahã as a regular language, although this is not the only plausible analysis.
Keyword:
Research Article
URL:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4774923/
https://doi.org/10.1371/journal.pone.0145289
http://www.ncbi.nlm.nih.gov/pubmed/26934636
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20
A Corpus Investigation of Syntactic Embedding in Piraha
Stearns, Laura
;
Everett, Daniel L.
;
Piantadosi, Steven T.
...
In: PLoS (2015)
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