During the conference RANLP 2025, the first workshop on NLP and language models for digital humanities (LM4DH) organized by members of CLARIN will take place. A call for papers has been published. The submission deadline is the 30th of July 2025.
This short workshop is intended for CLARIN-CH and LiRI-affiliated researchers, as well as anyone else interested. Its goal is to refresh your knowledge and provide a practical recipe for approaching power analysis in your next project — or, at the very least, to help you know where to turn for support when you need it.
The FORS experts invite you to their monthly Q&A sessions in which participants can learn about data management and sharing.
We are proud to announce that CLARIN-CH has reached its goal of the 2020-2025 Roadmap by obtaining membership in CLARIN ERIC as the General Assembly accepted the official application.
MORCDA, a project supported by CLARIN-CH, releases a new webinar series on using open research data in comparative discourse analysis.
Lia Rumantscha has officially published its digitalization strategy, marking a major step in the modernization and digital presence of the Romansh language.
SwissNLP, a new associate member of CLARIN-CH, is inviting researchers and industry professionals to the 10th SwissText conference. Good to know: Affiliates of a CLARIN-CH member institution get a 20% discount on the conference ticket.
CLARIN-CH has reached another milestone on the road to becoming full member of the European Common Language Resources and Technology Infrastructure CLARIN ERIC: On April 9, the Swiss Federal Council decided to join four European research infrastructures – among which is CLARIN.
CLARIN-CH welcomes its first associate members, Lia Rumantscha and SwissNLP—two organizations boosting linguistic diversity and NLP collaboration in Switzerland through open data, tools, and community engagement.
In this workshop, researchers from various disciplines who use language data are invited to come with their own corpora and relevant research questions to learn how they can use LCP to extract the information they seek from their corpus.