A Single Paradigm for Implicit and Statistical Learning.

ABSTRACT: Implicit learning generally refers to the acquisition of structures that, like knowledge of natural language grammar, are not available to awareness. In contrast, statistical learning has frequently been related to learning language structures that are explicitly available, such as vocabulary. In this paper, we report an experimental paradigm that enables testing of both classic implicit and statistical learning in language. The paradigm employs an artificial language comprising sentences that accompany visual scenes that they represent, thus combining artificial grammar learning with cross-situational statistical learning of vocabulary. We show that this methodology enables a comparison between acquisition of grammar and vocabulary, and the influences on their learning. We show that both

SUBMITTER: Monaghan P 

PROVIDER: S-EPMC6852402 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature