Conferences 2025
Artificial Languages in the Linguist’s Toolbox
Artificial language learning experiments test how far language users can extract rule-like generalizations from structured input (Culbertson, 2023). Since Reber’s (1967) seminal artificial grammar (AG) study, which aimed at investigating implicit learning mechanisms, artificial language (AL) paradigms have become more diverse in their implementation and have been proposed as a versatile tool for addressing an increasingly broad range of research topics within areas as varied as second language acquisition, language typology, and language change. Despite this extensive body of research, the nature of the knowledge acquired in AL experiments as well as the effects of different training methods implemented in these studies still need to be debated, given their crucial implications for the linguistic research questions that can sensibly be addressed through these studies.
Location: J 32/102 (Sep 25, 2025) / J 27/14 (Sep 26, 2025) Freie Universität Berlin Habelschwerdter Allee 45 (Rostlaube)