Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Cognitive Mapping | 1 |
| Computational Linguistics | 1 |
| Infants | 1 |
| Language Acquisition | 1 |
| Learning Processes | 1 |
| Models | 1 |
| Networks | 1 |
| Phonemes | 1 |
| Phonology | 1 |
| Prediction | 1 |
| Vocabulary Development | 1 |
| More ▼ | |
Source
| Journal of Child Language | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkTakac, Martin; Knott, Alistair; Stokes, Stephanie – Journal of Child Language, 2017
In this paper, we investigate the effect of neighbourhood density (ND) on vocabulary size in a computational model of vocabulary development. A word has a high ND if there are many words phonologically similar to it. High ND words are more easily learned by infants of all abilities (e.g. Storkel, 2009; Stokes, 2014). We present a neural network…
Descriptors: Vocabulary Development, Infants, Cognitive Mapping, Phonology
