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Are Words Easier to Learn From Infant- Than Adult-Directed Speech? A Quantitative Corpus-Based Investigation
In: ISSN: 0364-0213 ; EISSN: 1551-6709 ; Cognitive Science ; https://hal.archives-ouvertes.fr/hal-01888701 ; Cognitive Science, Wiley, 2018, 42 (5), pp.1586 - 1617. ⟨10.1111/cogs.12616⟩ (2018)
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Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner
In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-01888694 ; Cognition, Elsevier, 2018, 173, pp.43 - 59. ⟨10.1016/j.cognition.2017.11.008⟩ (2018)
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Bilingualism and bidialectalism
In: The Cambridge Handbook of Bilingualism ; https://hal.inria.fr/hal-01674604 ; Lourdes Ortega; Annick de Houwer. The Cambridge Handbook of Bilingualism, Cambridge University Press, 2018, 9781107179219 (2018)
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Representing linguistic knowledge with probabilistic models
Meylan, Stephan Charles. - : eScholarship, University of California, 2018
In: Meylan, Stephan Charles. (2018). Representing linguistic knowledge with probabilistic models. UC Berkeley: Psychology. Retrieved from: http://www.escholarship.org/uc/item/5vp920sn (2018)
Abstract: The use of language is one of the defining features of human cognition. Focusing here on two key features of language, productivity and robustness, I examine how basic questions regarding linguistic representation can be approached with the help of probabilistic generative language models, or PGLMs. These statistical models, which capture aspects of linguistic structure in terms of distributions over events, can serve as both the product of language learning and as prior knowledge in real-time language processing. In the first two chapters, I show how PGLMs can be used to make inferences about the nature of people's linguistic representations. In Chapter 1, I look at the representations of language learners, tracing the earliest evidence for a noun category in large developmental corpora. In Chapter 2, I evaluate broad-coverage language models reflecting contrasting assumptions about the information sources and abstractions used for in-context spoken word recognition in their ability to capture people's behavior in a large online game of “Telephone.” In Chapter 3, I show how these models can be used to examine the properties of lexicons. I use a measure derived from a probabilistic generative model of word structure to provide a novel interpretation of a longstanding linguistic universal, motivating it in terms of cognitive pressures that arise from communication. I conclude by considering the prospects for a unified, expectations-oriented account of language processing and first language learning.
Keyword: Bayesian inference; Cognitive psychology; Computer science; information theory; language acquisition; language models; Linguistics; probabilistic generative models; psycholinguistics
URL: http://www.escholarship.org/uc/item/5vp920sn
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5
Cross-Linguistic Cognate Production in Spanish-English Bilingual Children With and Without Specific Language Impairment.
In: Journal of speech, language, and hearing research : JSLHR, vol 61, iss 3 (2018)
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6
Data for: What do you know? ERP evidence for immediate use of common ground during online reference resolution ...
Sikos, Les. - : Mendeley, 2018
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7
Scales and scalarity: processing scalar inferences ...
Van Tiel, Bob. - : Mendeley, 2018
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8
Data for: What do you know? ERP evidence for immediate use of common ground during online reference resolution ...
Sikos, Les. - : Mendeley, 2018
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9
The processing of extraposed structures in English ...
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10
Entrainment in Disguise: the Exogenous and Endogenous Cortical Rhythms of Speech and Language Processing ...
Meyer, Lars; Sun, Yue; Martin, Andrea. - : PsyArXiv, 2018
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11
When a second language hits a native language. What ERPs (do and do not) tell us about language retrieval difficulty in bilingual language production. ...
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12
Advance planning in written and spoken sentence production ...
Roeser, Jens; Torrance, Mark; Baguley, Thom. - : PsyArXiv, 2018
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13
Children’s use of polysemy to structure new word meanings ...
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14
Multiplex model of mental lexicon reveals explosive learning in humans ...
Stella, Massimo. - : PsyArXiv, 2018
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15
Getting a Grip on Sensorimotor Effects in Lexical-Semantic Processing ...
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16
Nonword repetition depends on the frequency of sublexical representations at different grain sizes: evidence from a multi-factorial analysis ...
Szewczyk, Jakub; Marecka, Marta; Chiat, Shula. - : Open Science Framework, 2018
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17
Reading Fluency Matters: NIH R21 HD090460-01A1 ...
Braze, David; Gong, Tao; Nam, Hosung. - : PsyArXiv, 2018
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18
Do current statistical learning capture stable individual differences in children? An investigation of task reliability across modalities ...
Arnon, inbal. - : PsyArXiv, 2018
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19
English Resumptive Pronouns are More Common where Gaps are Less Acceptable ...
Morgan, Adam; Wagers, Matthew. - : Open Science Framework, 2018
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20
The multiplex structure of the mental lexicon influences picture naming in people with aphasia ...
Castro, Nichol; Stella, Massimo. - : PsyArXiv, 2018
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