Artificial Language Learning in Adults and Children
Bibliographic Data
| ID | 4503136 |
|---|---|
| Authors | Vasiliki Folia (0000-0002-2159-7032, Radboud University Nijmegen), Julia Uddén (0000-0001-6672-1298, Radboud University Nijmegen), Meinou De Vries (Max Planck Institute for Psycholinguistics), Christian Forkstam (Radboud University Nijmegen), Karl Magnus Petersson (0000-0002-8245-0392, Radboud University Nijmegen, corresponding author) |
| Year | 2010 |
| Volume | 60 |
| Issue | s2 |
| Pages | 188-220 |
| Publication date | 2010-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Language Learning (JOURNAL) |
| Journal identifiers | ISSN: 0023-8333 • E-ISSN: 1467-9922 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1467-9922.2010.00606.x |
| OpenAlex | W2153206979 |
| Language | EN |
| Citations received | 11 |
| References cited | 106 |
This article briefly reviews some recent work on artificial language learning in children and adults. The final part of the article is devoted to a theoretical formulation of the language learning problem from a mechanistic neurobiological viewpoint and we show that it is logically possible to combine the notion of innate language constraints with, for example, the notion of domain general learning mechanisms. A growing body of empirical evidence suggests that the mechanisms involved in artificial language learning and in structured sequence processing are shared with those of natural language acquisition and natural language processing. Finally, by theoretically analyzing a formal learning model, we highlight Fodor's insight that it is logically possible to combine innate, domain-specific constraints with domain-general learning mechanisms
Cognitive science · Comprehension approach · Domain (mathematical analysis) · Language acquisition · Linguistics · Mathematics education · Natural (archaeology) · Natural language · Artificial Intelligence · Computer Science · Language and cultural evolution · Language Development and Disorders · Psychology · Speech and dialogue systems
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| Unique citing works | 11 |
|---|---|
| Citations per year | 0,85 |
| Citation span | 2013 - 2025 (13) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 10 |