How to super-charge language data management with AI
- Presentation
- GALA
- 15. November
- 15:00 - 15:45 PM (CET)
- C7.2
- finished
-
Gernot Wegemund
- BBC Bircher AG
-
Simon Varga
Contents
The role of language data is evolving rapidly. Thanks to recent breakthroughs in artificial intelligence and natural language processing, it has become a valuable asset not only for authoring and translation, but also for training language and translation models. These models, in turn, can be used to create and maintain linguistic assets and even to make them meet increasingly diverse quality requirements and needs in terms of adapting content for different target groups and communication settings.
In this presentation, we present case studies showcasing how artificial intelligence technologies can help us maintain and adapt language data, e.g. by allowing us to apply custom quality checks and terminological changes to existing content, switch between formal and informal tone of voice, or generate training data for machine translation customization.
Takeaways
Get insights on how to leverage the potential of AI for language data management.