Motivation

Linguistic diversity is one of the fundamental rights of the European Union and we are optimistic that cross-lingual AI models can play an important role in facilitating it. Cross-lingual models based on neural networks are trained on terabytes of data and have recently reached large performance gains. As the computationally expensive training of such models can only be afforded by large companies, the evaluation of cross-lingual models is driven by commercial incentives and focuses on the average quantitative performance across more than a hundred languages. The intricacies of application scenarios for low-resource languages or economically insignificant purposes are largely being overlooked and individual differences between users are underestimated. When we want to use cross-lingual models for human-centered scenarios such as cognitive modeling, language education, or use cases in the digital humanities, we quickly encounter their limitations.

In this workshop, we want to bring together leading scholars from linguistics, cognitive science, and computer science to develop a more diverse and human-centered perspective on cross-lingual models. We want to integrate typological theories about differences between language families, cognitive models of multilingual processing, and computational approaches toward increasing diversity in language technology.

Important Details & Registration

Start: 🕒 Wednesday, March 17th, 2027, TBD
End: 🕒 Thursday, March 18th, 2027, TBD
Where: 📍 Historische Sternwarte in Göttingen (Google Maps)
Participation in the workshop is free of charge but the number of participants is limited.

Please register using this form.

Keynote Speakers

Profile picture of Eva Vanmassenhove Eva Vanmassenhove (Tilburg University, Netherlands)
Title: Losing our Tail, Again: (Un)Natural Selection and Multilingual LLMs
Profile picture of Byung-Doh Oh Byung-Doh Oh (NTU, Singapore)
Title: Moving Beyond Surprisal-Based Modeling: Parafoveal Preview and Rereading

Program

TBD

Posters

TBD

HumanCLAIM 2026 Highlights

Impressions from previous HumanCLAIM (2026)

Organization Committee

Profile picture of Lisa Beinborn Profile picture of Zhuojing Huang Profile picture of Richard Urja Khurana Profile picture of Yana Veitsman
Lisa Beinborn
(University of Goettingen)		 Zhuojing Huang
(University of Goettingen)		 Urja Khurana
(Vrije Universiteit Amsterdam)		 Yana Veitsman
(University of Goettingen)

Contact

If you have questions about the program, you can reach the organizers via humanclaim-organizers@googlegroups.com.

If you are interested in humanclaim and want to stay informed about the event, send a request to join our google group at https://groups.google.com/g/humanclaim/.

Curious about previous editions? Visit the websites for HumanCLAIM 2026 and HumanCLAIM 2025.

Funding

The workshop is funded by zukunft.niedersachsen, the joint science funding program of the Lower Saxony Ministry of Science and Culture and the Volkswagen Foundation.