This course is an introduction to Natural Language Processing (NLP) for students already proficient in programming and machine learning. The aim is to provide a solid background in theory and techniques used to accomplish different NLP tasks such as understanding and generating natural language. As NLP technologies are used by many people every day, and inform many other "AI" systems, special focus will be given to questions of ethics, equity, and the social impact of these technologies.
The course covers a mix of techniques, including rule-based, statistical, and machine learning methods for NLP. Since language data is at the core of many modern NLP techniques, the course will additionally cover assessment of data quality, as well as developing an understanding of complex issues of representation and data ownership.
Basic concepts and methodology from linguistics are introduced, including aspects of how language is constructed and used, and the importance of context. These are used to ground an understanding both of how effective solutions to NLP tasks are constructed, and the challenges of doing so for various languages.
Beyond this theoretical grounding, there will be practical exercises and assignments focusing on applying various techniques to address tasks within NLP. The coursework also includes actively participating in seminars and writing reports.
The information below is only for exchange students
Starts
1 September 2025
Ends
2 November 2025
Study location
Umeå
Language
English
Type of studies
Daytime,
50%
Required Knowledge
At least 90 ECTS, including 60 ECTS Computing Science, or at least 120 ECTS within a study programme. At least 7.5 ECTS data structures and algorithms; 7.5 ECTS discrete mathematics; 7.5 ECTS formal languages and 7.5 ECTS machine learning. Proficiency in English equivalent to the level required for basic eligibility for higher studies.
Selection
Students applying for courses within a double degree exchange agreement, within the departments own agreements will be given first priority. Then will - in turn - candidates within the departments own agreements, faculty agreements, central exchange agreements and other departmental agreements be selected.
Application code
UMU-A5721
Application
This application round is only intended for nominated exchange students. Information about deadlines can be found in the e-mail instruction that nominated students receive.
The application period is closed.
