Investigating language learning and morphosyntactic transfer longitudinally using artificial languages

Format
Poster
Date
5 September 2024
Event
30th Conference on Architectures and Mechanisms for Language Processing (AMLaP)

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Abstract

Unlike children acquiring their first language (L1), L2/Ln learners can draw on existing grammatical knowledge to ease the task, at least for those properties where the grammars align. This means that, in addition to statistical learning, there might be a substantial role for individual differences in cognitive processes necessary to identify, recruit and deploy this prior knowledge—e.g., procedural memory, working memory (WM), inhibitory control. In this study, we measured these individual differences through an SRT task, a digit-span, and a Stroop task, at the onset of a longitudinal artificial language (AL) learning paradigm. Grammatical and lexical similarity between the ALs and previous languages (Norwegian-English or SpanishEnglish) were systematically manipulated. Behavioral measures of sensitivity to grammatical violations in the AL were collected after each training session (three total). Results suggest that the ability to capitalize on prior knowledge is significantly modulated by individual differences in procedural memory, WM and inhibitory control.

 

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