Language is the key to accessing the modern technology on which our society relies. However, out of the over 7,000 languages worldwide, only a handful have access to such technology. 

To increase technological access to billions of speakers of resource-poor languages, researchers in this project make use of the fact that languages often are similar in structure and consistent in their differences. By combining linguistic theory, artificial intelligence and machine learning, they use data from resource-rich languages to create models that can apply to resource-poor languages in an automated process.

The findings from the project will not only lead to fundamental changes in how multilingual NLP (Natural Language Processing) is approached but also hold the potential to have a fundamental impact in other scientific fields.

Contact

Associate Professor Johannes Bjerva