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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 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) BASE Show details 2 One model for the learning of language Yang, Yuan; Piantadosi, Steven T. In: Proc Natl Acad Sci U S A (2022) Abstract: A major goal of linguistics and cognitive science is to understand what class of learning systems can acquire natural language. Until recently, the computational requirements of language have been used to argue that learning is impossible without a highly constrained hypothesis space. Here, we describe a learning system that is maximally unconstrained, operating over the space of all computations, and is able to acquire many of the key structures present in natural language from positive evidence alone. We demonstrate this by providing the same learning model with data from 74 distinct formal languages which have been argued to capture key features of language, have been studied in experimental work, or come from an interesting complexity class. The model is able to successfully induce the latent system generating the observed strings from small amounts of evidence in almost all cases, including for regular (e.g., a(n), [Formula: see text] , and [Formula: see text]), context-free (e.g., [Formula: see text] , and [Formula: see text]), and context-sensitive (e.g., [Formula: see text] , and xx) languages, as well as for many languages studied in learning experiments. These results show that relatively small amounts of positive evidence can support learning of rich classes of generative computations over structures. The model provides an idealized learning setup upon which additional cognitive constraints and biases can be formalized. Keyword: Social Sciences URL: https://doi.org/10.1073/pnas.2021865119 http://www.ncbi.nlm.nih.gov/pubmed/35074868 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812683/ BASE Hide details 3 The Child as Hacker Rule, Joshua S; Tenenbaum, Joshua B; Piantadosi, Steven T In: PMC (2021) BASE Show details 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 Show details 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) BASE Show details 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) BASE Show details 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) BASE Show details 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 BASE Show details 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 BASE Show details 10 Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ... Mollica, Francis; Piantadosi, Steven T.. - : Figshare, 2019 BASE Show details 11 Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ... Mollica, Francis; Piantadosi, Steven T.. - : Figshare, 2019 BASE Show details 12 One-to-one correspondence without language Koopman, Sarah E.; Arre, Alyssa M.; Piantadosi, Steven T.. - : The Royal Society, 2019 BASE Show details 13 Word Forms Are Structured for Efficient Use Mahowald, Kyle Adam; Dautriche, Isabelle; Gibson, Edward A... In: Prof. Gibson via Courtney Crummett (2018) BASE Show details 14 Color naming across languages reflects color use Ratnasingam, Sivalogeswaran; Piantadosi, Steven T.; Conway, Bevil R.... In: National Academy of Sciences (2018) BASE Show details 15 Words cluster phonetically beyond phonotactic regularities Dautriche, Isabelle; Christophe, Anne; Piantadosi, Steven T.... In: Prof. Gibson via Courtney Crummett (2017) BASE Show details 16 The Natural Stories Corpus ... Futrell, Richard; Gibson, Edward; Tily, Hal. - : arXiv, 2017 BASE Show details 17 Color naming across languages reflects color use Gibson, Edward; Futrell, Richard; Jara-Ettinger, Julian. - : National Academy of Sciences, 2017 BASE Show details 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) BASE Show details 19 A Corpus Investigation of Syntactic Embedding in Pirahã Futrell, Richard; Stearns, Laura; Everett, Daniel L.. - : Public Library of Science, 2016 BASE Show details 20 A Corpus Investigation of Syntactic Embedding in Piraha Stearns, Laura; Everett, Daniel L.; Piantadosi, Steven T.... In: PLoS (2015) BASE Show details Page: 1 2

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