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1
Models of Language and Multiword Expressions
In: Front Artif Intell (2022)
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The Danish Gigaword Project ...
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3
Affective Arousal Links Sound to Meaning ...
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Affective Arousal Links Sound to Meaning ...
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5
When Too Many Vowels Impede Language Processing: An Eye-Tracking Study of Danish-Learning Children ...
Trecca, Fabio; Bleses, Dorthe; Højen, Anders. - : SAGE Journals, 2020
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When Too Many Vowels Impede Language Processing: An Eye-Tracking Study of Danish-Learning Children ...
Trecca, Fabio; Bleses, Dorthe; Højen, Anders. - : SAGE Journals, 2020
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SupplementalMaterialpdf – Supplemental material for When Too Many Vowels Impede Language Processing: An Eye-Tracking Study of Danish-Learning Children ...
Trecca, Fabio; Bleses, Dorthe; Højen, Anders. - : SAGE Journals, 2020
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8
SupplementalMaterialpdf – Supplemental material for When Too Many Vowels Impede Language Processing: An Eye-Tracking Study of Danish-Learning Children ...
Trecca, Fabio; Bleses, Dorthe; Højen, Anders. - : SAGE Journals, 2020
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9
Exploring the “anchor word” effect in infants: Segmentation and categorisation of speech with and without high frequency words
In: PLoS One (2020)
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10
Cognitive Constraints Built into Formal Grammars: Implications for Language Evolution
Gómez-Rodríguez, Carlos; Christiansen, Morten H.; Ferrer-i-Cancho, Ramon. - : Ravignani, A., Barbieri, C., Martins, M., Flaherty, M., Jadoul, Y., Lattenkamp, E., Little, H., Mudd, K., Verhoef, T., 2020
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11
Memory limitations are hidden in grammar ...
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12
Mark My Words: High Frequency Marker Words Impact Early Stages of Language Learning
Frost, Rebecca L. A.; Monaghan, Padraic; Christiansen, Morten H.. - : American Psychological Association, 2019
Abstract: High frequency words have been suggested to benefit both speech segmentation and grammatical categorization of the words around them. Despite utilizing similar information, these tasks are usually investigated separately in studies examining learning. We determined whether including high frequency words in continuous speech could support categorization when words are being segmented for the first time. We familiarized learners with continuous artificial speech comprising repetitions of target words, which were preceded by high-frequency marker words. Crucially, marker words distinguished targets into 2 distributionally defined categories. We measured learning with segmentation and categorization tests and compared performance against a control group that heard the artificial speech without these marker words (i.e., just the targets, with no cues for categorization). Participants segmented the target words from speech in both conditions, but critically when the marker words were present, they influenced acquisition of word-referent mappings in a subsequent transfer task, with participants demonstrating better early learning for mappings that were consistent (rather than inconsistent) with the distributional categories. We propose that high-frequency words may assist early grammatical categorization, while speech segmentation is still being learned.
Keyword: Research Articles
URL: http://www.ncbi.nlm.nih.gov/pubmed/30652894
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746567/
https://doi.org/10.1037/xlm0000683
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13
Language Learning as Language Use: A Cross-Linguistic Model of Child Language Development
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14
It's about time: Adding processing to neuroemergentism
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15
Creating language : integrating evolution, acquisition, and processing
Christiansen, Morten H.; Chater, Nick. - London, England : The MIT Press, 2018
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16
Leveraging authentic media to design scalable foreign language learning systems
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17
The Cognitive and Neural Underpinnings of Language Learning and Processing
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18
Supplementary material from "Simpler grammar, larger vocabulary: How population size affects language" ...
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19
Supplementary material from "Simpler grammar, larger vocabulary: How population size affects language" ...
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20
Additional Variations of Simulation Parameters from Simpler grammar, larger vocabulary: How population size affects language ...
Reali, Florencia; Chater, Nick; Christiansen, Morten H.. - : The Royal Society, 2018
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