Language and Speech Technology

We research and develop computational methods for the comprehension and generation of text and speech. We evaluate these methods intrinsically, and test their utility in real-world applications (such as automatic speech recognition in realistic environments, and text mining in historical collections and social media). We also connect these computational models to models in theoretical and applied linguistics, psycholinguistics, and communication studies. The group works with ‘big data' and methods that learn computational models from data, while at the same time the proper development of information systems demands a hybridization of data-driven learning and ‘rich priors' from the domain or context.

Research projects

Projects of the research group are carried out within the Centre for Language and Speech Technology (CLST).

Stethoscoop op tafel

HoMed (Homo Medicinalis)

HoMed (Homo Medicinalis) will implement a SSH research infrastructure with an enormous potential for automatic transcription of sensitive audio-visual (AV) recordings.

Woman signing in front of laptop

The SignON Project

SignON is a user-centric and community-driven project that aims to facilitate the exchange of information among Deaf, hard of hearing, and hearing individuals across Europe.

Contact information


Erasmus building

Erasmusplein 1
6525HT Nijmegen
Postal address
Postbus 9103