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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 – 10 of 10 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) 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., an , [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: computational linguistics; formal language theory; Humans; Language; Learning; learning theory; Linguistics; program induction URL: https://escholarship.org/uc/item/6sb6g4gx BASE Hide details 2 One model for the learning of language Yang, Yuan; Piantadosi, Steven T. In: Proc Natl Acad Sci U S A (2022) BASE Show details 3 Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid Yang, Yuan-Chi; Al-Garadi, Mohammed Ali; Bremer, Whitney... In: J Med Internet Res (2021) BASE Show details 4 Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource Sarker, Abeed; Lakamana, Sahithi; Hogg-Bremer, Whitney... In: J Am Med Inform Assoc (2020) BASE Show details 5 A Light-Weight Text Summarization System for Fast Access to Medical Evidence Sarker, Abeed; Yang, Yuan-Chi; Al-Garadi, Mohammed Ali... In: Front Digit Health (2020) BASE Show details 6 Entwicklung interkultureller Handlungskompetenz : ein didaktisches Konzept für den Wirtschaftsdeutschunterricht in China am Beispiel des Einsatzes von Lernvideos Yang, Yuan [Verfasser]. - München : Iudicium, 2019 DNB Subject Category Language Show details 7 Entwicklung interkultureller Handlungskompetenz. Ein didaktisches Konzept für den Wirtschaftsdeutschunterricht in China am Beispiel des Einsatzes von Lernvideos Yang, Yuan [Verfasser]; Albert, Ruth [Akademischer Betreuer]. - Marburg : Philipps-Universität Marburg, 2019 DNB Subject Category Language Show details 8 Punctuation and Parallel Corpus Based Word Embedding Model for Low-Resource Languages Yang Yuan; Xiao Li; Ya-Ting Yang In: Information ; Volume 11 ; Issue 1 (2019) BASE Show details 9 One Model for the Learning of Language ... Yang, Yuan. - : arXiv, 2017 BASE Show details 10 Dynamic Functional Brain Connectivity for Face Perception Yang, Yuan; Qiu, Yihong; Schouten, Alfred C.. - : Frontiers Media S.A., 2015 BASE Show details

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