Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Language Fluency | 2 |
| Language Usage | 2 |
| Linguistic Input | 2 |
| Semantics | 2 |
| Vocabulary Development | 2 |
| Associative Learning | 1 |
| Attention | 1 |
| Child Development | 1 |
| Comparative Analysis | 1 |
| Credibility | 1 |
| Eye Movements | 1 |
| More ▼ | |
Author
| Savic, Olivera | 2 |
| Sloutsky, Vladimir M. | 2 |
| Unger, Layla | 2 |
| Dennis, Simon | 1 |
| Yim, Hyungwook | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkUnger, Layla; Yim, Hyungwook; Savic, Olivera; Dennis, Simon; Sloutsky, Vladimir M. – Developmental Science, 2023
Recent years have seen a flourishing of Natural Language Processing models that can mimic many aspects of human language fluency. These models harness a simple, decades-old idea: It is possible to learn a lot about word meanings just from exposure to language, because words similar in meaning are used in language in similar ways. The successes of…
Descriptors: Natural Language Processing, Language Usage, Vocabulary Development, Linguistic Input
Savic, Olivera; Unger, Layla; Sloutsky, Vladimir M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Human word learning is remarkable: We not only learn thousands of words but also form organized semantic networks in which words are interconnected according to meaningful links, such as those between "apple," "juicy," and "pear." These links play key roles in our abilities to use language. How do words become…
Descriptors: Semantics, Vocabulary Development, Language Usage, Eye Movements
