[CogSci] Multilingual Minds and Machines Meeting

[Stefan Frank]

Computational modelling has long been a highly influential research 
method in the study of human language processing. In the last decade or 
so, the impact of computational simulations has further increased with 
the availability of models with human-scale knowledge of language 
statistics and the development of powerful linking functions (based on, 
for instance, information theory and distributional semantics) between 
model predictions and human processing, as well as the availability of 
large-scale, high resolution behavioural and neurophysiological language 
processing data sets.

However, relatively little attention seems to be paid to simulations of 
bi- and multilingual processing. For example, large language models are, 
typically, massively multilingual yet they are rarely connected back to 
theories and data of human multilingualism. In this way, they are unlike 
traditional models of bilingualism that increase our understanding of 
the unique properties of comprehending, producing, or learning a 
non-native language, of acquiring two or more languages simultaneously, 
and of the interaction between multiple languages in one mind.

This workshop aims to bridge the gap between the scientific disciplines 
of multilingual language research, experimental psycholinguistics, and 
computational cognitive science. By exploring how empirical, 
human-oriented approaches can be more tightly integrated with the 
theoretical, computation-oriented methodologies, the workshop will 
further enhance research into the cognitive science of bi-/multilingualism.

The workshop will take place on June 22-23, 2026, at a to be determined 
location in Nijmegen, the Netherlands.

For more information and abstract submission, please visit 
https://mmmm2026.github.io/

-- 
Stefan Frank
Associate Professor of Psycholinguistics | Universitair Hoofddocent Taalpsychologie
Centre for Language Studies | Donders Institute | Radboud University, Nijmegen
cls.ru.nl/~sfrank | @stefanfrank.bsky.social | @stefanfrank at scholar.social
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