31.08.2023Talk by Carmen Saldana at CogSci 2023

Carmen Saldana presented a study where she and co-author Jennifer Culbertson use an artificial language learning paradigm to test whether the inferences learners make about the order of gender and number affixes accord with formal theories of how they are represented at the Annual Meeting of the Cognitive Science Society. Our results suggest a clear preference for placing gender closest to the noun across different linguistic populations, across different types of gender systems, and across prefixing and suffixing morphology. These results expand the range of behavioural evidence for the role of cognitive representations in determining morpheme order.