The CST staff carries out research within a range of language technological fields which interact in various ways. Much of the research is carried out through external projects.

Language research infrastructure

Language resources and the infrastructure around them are important prerequisites for the development of language technology – and for the research that makes use of it. A research infrastructure comprising language data will support digital humanities and thus promote cross-disciplinary collaboration and a broader knowledge sharing in both research and education.



 Language Technology Applications

Computer based applications play a substantial role in several human language technologies and services. At Centre for Language Technology research is performed within the fields of machine translation, automatic question answering, information retrieval, and e-learning. 



Multimodal Communication

Multimodal communication studies the interaction of different communication modalities – spoken and written language, gestural behavior, body movements and facial expressions. The purpose of this research is to understand the complex nature of human communication and to apply this knowledge to the development of more natural human-computer interfaces.



 Language processing and resources

Research in and development of formal grammars,
computational lexicons, wordnets and annotated corpora for natural language processing of Danish in particular, are central ongoing activities at the Centre.  Resources and processing concern several linguistic levels, such as syntax, semantics, and discourse.



Machine Learning 

Statistical learning techniques can be used to induce
natural language processing models from linguistically annotated text corpora. The development of such techniques is a core research area for CST, and important for several ongoing projects.