The Linguistic Corpus Platform (LCP) launched on November 1, 2024, during the first LCP Day. This web-based tool enables researchers to query and analyze linguistic data across text, spoken, and audiovisual corpora directly from their browser.
Join us for a webinar on the legal challenges surrounding the use of social media data for language research purposes, covering essential topics such as copyright and text-and-data mining (TDM) exceptions, the importance of terms of service, and data protection laws.
The webinar addresses the legal, ethical, and practical challenges of managing sensitive linguistic data across borders, with insights from real-world case studies on data protection, sharing, and de-identification.
The CHORD-talk-in-interaction team is inviting young researchers to a workshop on multimodality. The event will be held on December 12 and 13 at the University of Neuchâtel.
The first LCP Day marks the official launch of the LiRI Corpus Platform. The program will consist of project presentations and practical software demonstrations. We welcome participants on-site and on Zoom (on-site participation is limited).
This talk will explore key aspects of licensing linguistic data for publication, with a focus on Creative Commons licenses. It will cover copyright principles, licensing benefits and limitations, and proper application to datasets, promoting responsible sharing and reuse while safeguarding intellectual property.
The first CLARIN-CH Day will be held on September 9, 2024 and adress the topic Opportunities and Challenges of Open Research Data. Register now until September 1st, if you want to participate!
The 13th Day of Swiss Linguistics took place on 23 June 2024 at the University of Neuchâtel. CLARIN-CH was present with a poster on Open Research Data challenges and relevant projects as well as research infrastructures in Switzerland.
The webinar explores copyright and intellectual property issues in research with linguistic data, addressing topics like text and data mining, social media data usage, and AI-related copyright concerns.
This case study explores an anonymization pipeline implemented for the Swiss Federal Archive, targeting person names, company names, dates, and social security numbers with a focus on high recall.