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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 Page: 1 2 3 4 5...9 Hits 1 – 20 of 178 1 Why Don’t Languages Grammaticalize [±poisonous]? Leivada, Evelina; Barceló-Coblijn, Lluís In: BIOLINGUISTICS; Vol. 14 (2020): Special Issue—Biolinguistic Research in the 21st Century; 51-58 ; 1450-3417 (2021) BASE Show details 2 BACK COVER BIOLINGUISTICS Editorial Team In: BIOLINGUISTICS; Vol. 14 (2020): Special Issue—Biolinguistic Research in the 21st Century ; 1450-3417 (2021) BASE Show details 3 FULL ISSUE Editorial Team, BIOLINGUISTICS. In: BIOLINGUISTICS; Vol. 15 (2021) ; 1450-3417 (2021) BASE Show details 4 Notice Editorial Team, BIOLINGUISTICS In: BIOLINGUISTICS; Vol. 15 (2021); 34–35 ; 1450-3417 (2021) BASE Show details 5 FRONT COVER Editorial Team, BIOLINGUISTICS In: BIOLINGUISTICS; Vol. 15 (2021) ; 1450-3417 (2021) BASE Show details 6 BACK COVER Editorial Team, BIOLINGUISTICS In: BIOLINGUISTICS; Vol. 15 (2021) ; 1450-3417 (2021) BASE Show details 7 Minimax Feature Merge: The Featural Linguistic Turing Machine ... Van Steene, Louis. - : Zenodo, 2021 BASE Show details 8 Minimax Feature Merge: The Featural Linguistic Turing Machine ... Van Steene, Louis. - : Zenodo, 2021 BASE Show details 9 Biolingüística: teoría lingüística y ciencia cognitiva Mendivil Giró, José Luis; Horno Chéliz, María del Carmen In: Revista Española de Lingüística, ISSN 2254-8769, Año nº 51, Fasc. 2, 2021, pags. 93-110 (2021) BASE Show details 10 BACK COVER BIOLINGUISTICS Editorial Team In: Biolinguistics, Vol 15 (2021) (2021) BASE Show details 11 FRONT COVER BIOLINGUISTICS Editorial Team In: Biolinguistics, Vol 15 (2021) (2021) BASE Show details 12 BACK COVER BIOLINGUISTICS Editorial Team In: Biolinguistics, Vol 14, Iss SI (2021) (2021) BASE Show details 13 Notice BIOLINGUISTICS Editorial Team In: Biolinguistics, Vol 15 (2021) (2021) BASE Show details 14 FULL ISSUE BIOLINGUISTICS. Editorial Team In: Biolinguistics, Vol 15 (2021) (2021) BASE Show details 15 Why Don’t Languages Grammaticalize [±poisonous]? Evelina Leivada; Lluís Barceló-Coblijn In: Biolinguistics, Vol 14, Iss SI (2021) (2021) BASE Show details 16 Complex Signals: Reflexivity, Hierarchical Structure, and Modular Composition LaCroix, Travis. - : eScholarship, University of California, 2020 BASE Show details 17 FULL ISSUE BIOLINGUISTICS Editorial Team In: BIOLINGUISTICS; Vol. 14 (2020) ; 1450-3417 (2020) BASE Show details 18 BACK COVER BIOLINGUISTICS Editorial Team In: BIOLINGUISTICS; Vol. 14 (2020) ; 1450-3417 (2020) BASE Show details 19 FULL ISSUE BIOLINGUISTICS Editorial Team In: BIOLINGUISTICS; Vol. 14 (2020): Special Issue—Biolinguistic Research in the 21st Century ; 1450-3417 (2020) BASE Show details 20 Children’s Learning of a Semantics-Free Artificial Grammar with Center Embedding Ojima, Shiro; Okanoya, Kazuo In: BIOLINGUISTICS; Vol. 14 (2020); 21-48 ; 1450-3417 (2020) Abstract: Whether non-human animals have an ability to learn and process center embedding, a core property of human language syntax, is still debated. Artificial-grammar learning (AGL) has been used to compare humans and animals in the learning of center embedding. However, up until now, human participants have only included adults, and data on children, who are the key players of natural language acquisition, are lacking. We created a novel game-like experimental paradigm combining the go/no-go procedure often used in animal research with the stepwise learning methods found effective in human adults’ center-embedding learning. Here we report that some children succeeded in learning a semantics-free artificial grammar with center embedding (A2B2 grammar) in the auditory modality. Although their success rate was lower than adults’, the successful children looked as efficient learners as adults. Where children struggled, their memory capacity seemed to have limited their AGL performance. Keyword: artificial grammar; biolinguistics; center embedding; children; go/no-go URL: http://www.biolinguistics.eu/index.php/biolinguistics/article/view/425 BASE Hide details Page: 1 2 3 4 5...9

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