What counts as an exemplar model, anyway? A commentary on Ambridge (2020)

Ambridge (2019) calls for exemplar-based accounts of language acquisition. Do modern neural networks such as transformers or word2vec – which have been extremely successful in modern natural language processing (NLP) applications – count? Although …

Predictive movements in human reinforcement learning of sequential action

Word Learning: Associations or Hypothesis Testing?

Desirable difficulties in the development of active inquiry skills

Observing and modeling developing knowledge and uncertainty during cross-situational word learning

A bootstrapping model of frequency and contextual diversity effects in word learning

A continuous time neural model for sequential action

Cross-situational word learning is both implicit and strategic

Everyday robotic action: Lessons from human action control

Actively Learning Object Names Across Ambiguous Situations