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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 Hits 1 – 3 of 3 1 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 2 Rational integration of noisy evidence and prior semantic expectations in sentence interpretation Gibson, Edward; Bergen, Leon; Piantadosi, Steven T.. - : National Academy of Sciences, 2013 BASE Show details 3 Word lengths are optimized for efficient communication Piantadosi, Steven T.; Tily, Harry; Gibson, Edward. - : National Academy of Sciences, 2011 BASE Show details

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