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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 – 16 of 16 1 Top-down grouping affects adjacent dependency learning [<Journal>] Wang, Felix Hao [Verfasser]; Zevin, Jason D. [Verfasser]; Trueswell, John C. [Verfasser]. DNB Subject Category Language Show details 2 Top-Down Grouping Affects Adjacent Dependency Learning Wang, Felix Hao; Zevin, Jason D.; Mintz, Toben H.... In: Psychology Faculty Publications (2020) BASE Show details 3 Data for: Rhythmic Influences on Adjacent Dependency Learning ... Wang, Felix. - : Mendeley, 2019 BASE Show details 4 Data for: Successfully Learning Non-Adjacent Dependencies in a Continuous Artificial Language Stream ... Wang, Felix. - : Mendeley, 2019 BASE Show details 5 Spotting Dalmatians: Children’s ability to discover subordinate-level word meanings cross-situationally ... Wang, Felix. - : Mendeley, 2019 BASE Show details 6 Data for: Rhythmic Influences on Adjacent Dependency Learning ... Wang, Felix. - : Mendeley, 2019 BASE Show details 7 Spotting Dalmatians: Children’s ability to discover subordinate-level word meanings cross-situationally ... Wang, Felix. - : Mendeley, 2019 BASE Show details 8 Data for: Successfully Learning Non-Adjacent Dependencies in a Continuous Artificial Language Stream ... Wang, Felix. - : Mendeley, 2019 BASE Show details 9 Spotting Dalmatians: Children’s ability to discover subordinate-level word meanings cross-situationally Wang, Felix; Trueswell, John C. In: Cogn Psychol (2019) BASE Show details 10 Polychronization as a mechanism for language acquisition in spiking neural networks Wang, Felix Y. - 2018 BASE Show details 11 Learning Non-Adjacent Dependencies Embedded in Sentences of an Artificial Language: When Learning Breaks Down (in press, JEP: LMC) ... Wang, Felix; Mintz, Toben. - : PsyArXiv, 2017 BASE Show details 12 Top-Down Structure Influences Learning of Non-Adjacent Dependencies in an Artificial Language ... Wang, Felix; Zevin, Jason; Mintz, Toben. - : PsyArXiv, 2017 BASE Show details 13 Statistical learning is a two-step process ... Wang, Felix Hao. - : University of Southern California Digital Library (USC.DL), 2016 BASE Show details 14 Learning about word learning in ambiguous situations ... Wang, Felix Hao. - : University of Southern California Digital Library (USC.DL), 2015 BASE Show details 15 Word Categorization From Distributional Information: Frames Confer More Than the Sum of Their (Bigram) Parts Mintz, Toben H.; Wang, Felix Hao; Li, Vivian Jia. - 2014 Abstract: Grammatical categories, such as noun and verb, are the building blocks of syntactic structure and the components that govern the grammatical patterns of language. However, in many languages words are not explicitly marked with their category information, hence a critical part of acquiring a language is categorizing the words. Computational analyses of child-directed speech have shown that distributional information—information about how words pattern with one another in sentences—could be a useful source of initial category information. Yet questions remain as to whether learners use this kind of information, and if so, what kinds of distributional patterns facilitate categorization. In this paper we investigated how adults exposed to an artificial language use distributional information to categorize words. We compared training situations in which target words occurred in frames (i.e., surrounded by two words that frequently co-occur) against situations in which target words occurred in simpler bigram contexts (where an immediately adjacent word provides the context for categorization). We found that learners categorized words together when they occurred in similar frame contexts, but not when they occurred in similar bigram contexts. These findings are particularly relevant because they accord with computational investigations showing that frame contexts provide accurate category information cross-linguistically. We discuss these findings in the context of prior research on distribution-based categorization and the broader implications for the role of distributional categorization in language acquisition. Keyword: Article URL: http://www.ncbi.nlm.nih.gov/pubmed/25164244 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4252487/ https://doi.org/10.1016/j.cogpsych.2014.07.003 BASE Hide details 16 Chinesisch in 24 Stunden Wang, Felix [Mitwirkender]. - Rödermark : CBT China Book Trading DNB Subject Category Language Show details

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