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Are Words Easier to Learn From Infant- Than Adult-Directed Speech? A Quantitative Corpus-Based Investigation
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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
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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
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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
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In: Meylan, Stephan Charles. (2018). Representing linguistic knowledge with probabilistic models. UC Berkeley: Psychology. Retrieved from: http://www.escholarship.org/uc/item/5vp920sn (2018)
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Cross-Linguistic Cognate Production in Spanish-English Bilingual Children With and Without Specific Language Impairment.
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In: Journal of speech, language, and hearing research : JSLHR, vol 61, iss 3 (2018)
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Data for: What do you know? ERP evidence for immediate use of common ground during online reference resolution ...
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Abstract:
Description of data from the article “What do you know? ERP evidence for immediate use of common ground during online reference resolution”, by Sikos, Tomlinson, Heins, and Grodner. Repository: Mendeley Data The zipped folder DATA.zip contains pre-processed behavioral and electrophysiological data for the final 50 participants (see Methods for exclusion and outlier removal criteria). ---------------- Behavioral data ---------------- All behavioral data are gathered into a single tab-delimited document. Variable names are self-explanatory. --------- ERP data --------- A. for_cluster_analyses Five separate tab-delimited files are provided for each participant (e.g., s2_CG-NO.txt). Each file contains data capturing the voltage difference (μV) between two conditions (e.g., CGC minus NoC) during the -200 to 1600 ms epoch for that particular subject (e.g., s2). Rows correspond to time points. Columns correspond to electrode channels: E1 = F10 E2 = AF4 E3 = F2 E4 = FCZ E5 = FP2 E6 = FZ E7 = FC1 E8 = AFZ E9 = F1 E10 ...
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Keyword:
Cognition; Cognitive Science; Electroencephalography; FOS Languages and literature; Linguistics; Psycholinguistics
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URL: https://dx.doi.org/10.17632/c8md2mbcsz https://data.mendeley.com/datasets/c8md2mbcsz
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Data for: What do you know? ERP evidence for immediate use of common ground during online reference resolution ...
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Entrainment in Disguise: the Exogenous and Endogenous Cortical Rhythms of Speech and Language Processing ...
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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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Advance planning in written and spoken sentence production ...
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Children’s use of polysemy to structure new word meanings ...
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Multiplex model of mental lexicon reveals explosive learning in humans ...
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Getting a Grip on Sensorimotor Effects in Lexical-Semantic Processing ...
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Nonword repetition depends on the frequency of sublexical representations at different grain sizes: evidence from a multi-factorial analysis ...
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Do current statistical learning capture stable individual differences in children? An investigation of task reliability across modalities ...
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English Resumptive Pronouns are More Common where Gaps are Less Acceptable ...
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The multiplex structure of the mental lexicon influences picture naming in people with aphasia ...
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