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...
| Formato: | Artigo |
|---|---|
| Idioma: | English |
| Publicado em: |
2021
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| Acesso em linha: | https://hdl.handle.net/1721.1/132155 |