37.1950, Calls: Linguistic Approaches to Bilingualism - "Special Issue: Bridging Psycholinguistic and Computational Approaches to Bilingualism" (Jrnl)
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LINGUIST List: Vol-37-1950. Tue Jun 02 2026. ISSN: 1069 - 4875.
Subject: 37.1950, Calls: Linguistic Approaches to Bilingualism - "Special Issue: Bridging Psycholinguistic and Computational Approaches to Bilingualism" (Jrnl)
Moderator: Steven Moran (linguist at linguistlist.org)
Managing Editor: Valeriia Vyshnevetska
Team: Helen Aristar-Dry, Mara Baccaro, Daniel Swanson
Jobs: jobs at linguistlist.org | Conferences: callconf at linguistlist.org | Pubs: pubs at linguistlist.org
Homepage: http://linguistlist.org
Editor for this issue: Valeriia Vyshnevetska <valeriia at linguistlist.org>
================================================================
Date: 01-Jun-2026
From: Stefan Frank [stefan.frank at ru.nl]
Subject: Linguistic Approaches to Bilingualism - "Special Issue: Bridging Psycholinguistic and Computational Approaches to Bilingualism" (Jrnl)
Journal: Linguistic Approaches to Bilingualism
Issue: Bridging Psycholinguistic and Computational Approaches to
Bilingualism
Call Deadline: 01-Aug-2026
This special issue aims to bridge the gap between the scientific
disciplines of multilingual language research, experimental
psycholinguistics, and computational cognitive science. 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
emergence of models with human-scale knowledge of language statistics
as well as the availability of large-scale, high resolution
behavioural and neurophysiological language processing data sets.
However, relatively little computational work has focused on bi- and
multilingualism. For example, large language models are, typically,
massively multilingual yet they are rarely connected back to theories
and data of human multilingualism (Frank & Shapiro, 2026). In this
way, they are unlike more traditional, theory-driven computational
models of bilingualism (such as BIA+; Dijkstra & Van Heuven, 2002, and
Bilingual Dual-Path; Frank & Khoe, 2025) 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.
For the special issue, we encourage submissions of original work that
connects/links computational models to human behavioural and
neurophysiological data, or original work that employs modelling to
test hypotheses about human multilingualism. By exploring how
empirical, human-oriented approaches can be more tightly integrated
and aligned with theoretical, computation-oriented methodologies, this
special issue will showcase and bring together promising directions in
the study of bilingual and multilingual cognition.
Editors: Edith Kaan (University of Florida); Stefan Frank (Radboud
University); Irene Winther (Radboud University)
Deadline for one-page abstract submission: 1 August 2026
For full details, see: https://mmmm2026.github.io/LAB/
Linguistic Field(s): Cognitive Science
Computational Linguistics
Neurolinguistics
Psycholinguistics
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