Language technology resources
About
The purpose of this course is to give a further introduction to algorithmic resources for language technology such as algorithms for word sense induction and disambiguation, learning algorithm and classification of sentences. Language technology resources, such as corpora, lexicons, syntax and text as well as language models will be discussed in connection with relevant algorithms.
Requirements
Passing grade in each of the following courses:
- Introduction to programming, 7.5 credits
- Introduction to formal linguistics, 7.5 credits
- Natural language processing, 15 credits
- Statistical methods, 7.5 credits
or achieved equivalent language technology skills and knowledge.
English proficiency
If you have questions about English proficiency requirements, please contact your international coordinator at the University of Gothenburg.
Application
Do you want to apply for exchange studies at the University of Gothenburg?