The study was led by Professor Thomas Brochhagen, a researcher in the Computational Linguistics and Linguistic Theory (COLT) group within the Department of Translation and Language Sciences at UPF Barcelona. Co-authors include Xixian Liao (Barcelona Supercomputing Center - Centro Nacional de Supercomputación, BSC-CNS), Jamie D. Wright (Namur Digital Institute, University of Namur and Vrije Universiteit Brussel) and Carmen Saldana (affiliated with UPF and the University of Barcelona).

My main contribution to the Nature Human Behaviour study was in data analysis and computational modelling. The study is a large-scale, cross-linguistic investigation of how communicative pressures shape language evolution. By analysing data from nearly 2,000 languages, we examined how languages balance two competing pressures: the efficiency gained by reusing the same or similar word forms and the need to avoid ambiguity when concepts could be confused in communication”, explains Jamie Wright.

Jamie Wright’s work with Prof. Katrien Beuls at the Namur Digital Institute forms part of the HERMES programme. This research also examines the communicative pressures that shape language evolution, but from a complementary perspective. 

Researchers from Namur have just published another article in the “Journal of Language Evolution

“While the Nature Human Behaviour article identifies broad patterns across a large sample of existing languages, our recent article in the Journal of Language Evolution uses an agent-based model to study language evolution at the level of interacting agents. In these simulations, artificial agents develop and use shared languages through repeated communicative exchanges. This allows us to investigate how population-level linguistic conventions emerge from local interactions and why such conventions can make languages more robust, easier to learn and more cognitively efficient.” 

The two studies therefore address closely related questions at different levels and with different methodological approaches. The Nature Human Behaviour study shows the large-scale cross-linguistic consequences of communicative pressures, while the Journal of Language Evolution agent-based study helps explain how such patterns can emerge dynamically through interactions between language users.

Jamie D. Wright - Short Biography

Jamie D. Wright is a doctoral student in the Faculty of Computer Science at the University of Namur and a member of the Namur Digital Institute (NaDI), where he works with Professor Katrien Beuls as part of the HERMES program, funded by the European Union, the FNRS, and the FWO. He is also affiliated with the Artificial Intelligence Laboratory at the Vrije Universiteit Brussel. 

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 He completed his Master's in Theoretical and Applied Linguistics at Pompeu Fabra University, Barcelona, where he also worked as a research assistant within the COLT research group. His research uses computational modelling and agent-based experiments to investigate language emergence and evolution, with his current work examining how articulatory and acoustic constraints on the production and perception of speech shape linguistic conventions and systems of communication.

Congratulations to the researchers for these publications!

Cited article

Brochhagen, T., Liao, X., Wright, J.D., et al. The interaction of meaning similarity and confusability explains regularity in form–meaning mappings at and below the word level. Nat Hum Behav (2026). https://doi.org/10.1038/s41562-026-02488-3