Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 5 |
Descriptor
Comparative Analysis | 5 |
Language Processing | 5 |
Phrase Structure | 5 |
Adults | 2 |
English | 2 |
Form Classes (Languages) | 2 |
Language Usage | 2 |
Bayesian Statistics | 1 |
Beliefs | 1 |
Child Development | 1 |
Children | 1 |
More ▼ |
Source
Cognitive Science | 5 |
Author
Publication Type
Journal Articles | 5 |
Reports - Research | 5 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Jolsvai, Hajnal; McCauley, Stewart M.; Christiansen, Morten H. – Cognitive Science, 2020
Whereas a growing bulk of work has demonstrated that both adults and children are sensitive to frequently occurring word sequences, little is known about the potential role of meaning in the processing of such multiword chunks. Here, we take a first step toward assessing the contribution of meaningfulness in the processing of multiword sequences,…
Descriptors: Phrase Structure, Language Processing, Prediction, Decision Making
Brandt, Silke; Hargreaves, Stephanie; Theakston, Anna – Cognitive Science, 2023
A key factor that affects whether and at what age children can demonstrate an understanding of false belief and complement-clause constructions is the type of task used (whether it is implicit/indirect or explicit/direct). In the current study, we investigate, in an implicit/indirect way, whether children understand that a story character's belief…
Descriptors: Beliefs, Phrase Structure, Cognitive Ability, Child Development
Paape, Dario; Avetisyan, Serine; Lago, Sol; Vasishth, Shravan – Cognitive Science, 2021
We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better…
Descriptors: Computational Linguistics, Indo European Languages, Grammar, Bayesian Statistics
Landau, Barbara; Johannes, Kristen; Skordos, Dimitrios; Papafragou, Anna – Cognitive Science, 2017
Containment and support have traditionally been assumed to represent universal conceptual foundations for spatial terms. This assumption can be challenged, however: English "in" and "on" are applied across a surprisingly broad range of exemplars, and comparable terms in other languages show significant variation in their…
Descriptors: Spatial Ability, Language Acquisition, Phrase Structure, Form Classes (Languages)
Piñango, Maria M.; Zhang, Muye; Foster-Hanson, Emily; Negishi, Michiro; Lacadie, Cheryl; Constable, R. Todd – Cognitive Science, 2017
We examine metonymy at psycho- and neurolinguistic levels, seeking to adjudicate between two possible processing implementations (one- vs. two-mechanism). We compare highly conventionalized "systematic metonymy" (producer-for-product: "All freshmen read 'O'Connell'") to lesser-conventionalized "circumstantial…
Descriptors: Psycholinguistics, Neurolinguistics, Language Processing, Comparative Analysis