7 March 2025

Language Data Space workshop

Workshop on the European Language Data Space (LDS): Opportunities for Language Technology and AI Development in Europe

About the workshop

New opportunities with language data

Join us for an insightful workshop on the ongoing efforts within the European Language Data Space (LDS) project, which aims to enhance language data sharing and technology development across the EU.  This initiative opens up new opportunities for cross-border communication, machine translation, and multilingual services for Danish and other European languages.

The workshop will cover how the LDS supports local industries, research groups, and public administrations in integrating the new language data exchange infrastructure. It will highlight how organisations can connect with European networks, monetise language data, and benefit from the trustworthy infrastructures available across Europe.

The workshop will also engage Danish stakeholders from private and public sectors to discuss 1) the needs for high-quality language data and key aspects such as composition of domains and modalities, and 2) the current drivers and barriers data owners face in terms of sharing data such as data maturity and legal uncertainties.

The event will be held in Copenhagen and conclude with a networking session. You are warmly invited to join us and explore the exciting possibilities within the Language Data Space!

Target audience

The workshop is relevant for

The workshop is aimed at small and large businesses, data owners, LT developers, public organisations, and other stakeholders involved in linguistic data. Attendees will explore how LDS can help produce, monetize, and utilise language data to power language technologies and AI-based applications.

Agenda

09:00 – 09:30 Registration

09:30 – 09:40 Welcome and introduction
Alexandra Instituttet and DLA Piper

09:40 – 10:10 Welcome by the European Commission: The Digital Europe Programme and the Common European Language Data Space
Philippe Gelin, European Commission

10:10 – 10:40 European Language Data Space: developing a market for language data and services and benefitting from a joint European effort
Dr. Georg Rehm, DFKI and LDS Coordinator

10:40 – 11:10 Coffee Break

11:10 – 12:10 PANEL SESSION: Language data production, management, and market development: overcoming obstacles
This panel session will give insights in to the challenges regarding sharing language data. What are the legal and practical concerns that needs to be addressed? The discussion will serve to give input to the LDS consortium about which tools should be made available in order to make Danish language data more available.

  • Panel TBA
  • Moderator: TBA

12:10 – 13:00 Lunch break

13:00 – 13:30 The importance of language data for the development of LT solutions future steps
Bolette Sandford Pedersen, Professor, Department of Nordic Studies and Linguistics, University of Copenhagen, vicecenterleder for Center for Sprogteknologi

13:30 – 14:30 PANEL SESSION: Language data and language technologies in Denmark
The panel will present the current state of available language models in Denmark, as well as discuss the existing need for data and how quality of data can be assured. The discussion will give input to the LDS consortium on which tools could enhance the quality of the data in order to make it useful for existing models.

  • Simon Leminen Madsen, Senior AI Specialist, Alexandra Instituttet
  • Mads Henriksen, Founder and partner, Syv.AI
  • Anna Ørtoft, Partner and data scientist, Analyse og Tal
    ITU, TBA
  • Moderator: Bolette Sandford Pedersen, Professor, Department of Nordic Studies and Linguistics, University of Copenhagen, vicecenterleder for Center for Sprogteknologi

14:30 – 14:45 Conclusions
Agency for Digital Government

14:45 – 15:30 Coffee break and networking

Organisers

LDS Team

Kontakt

Har du spørgsmål?

Hvis du vil vide mere, er du velkommen til at kontakte:

Lea Schick
Senior Research and Innovation Manager
Alexandra Instituttet
lea.schick@alexandra.dk
+45 27 26 54 79

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