Language acquisition and probabilistic models: Keeping it simple
Hierarchical Bayesian Models (HBMs) have been used with some success to capture empirically observed patterns of under- and overgeneralization in child language acquisition. However, as is well known, HBMs are "ideal" learning systems, assuming access to unlimited computational resources t...
| Format: | Article |
|---|---|
| Language: | English |
| Published: |
2021
|
| Online Access: | https://hdl.handle.net/1721.1/132155 |