Language technology resources
No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students.
The purpose of this course is to give a further introduction to algorithmic resources for language technology.
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.
Prerequisites and selection
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.
Selection is based upon the number of credits from previous university studies, maximum 165 credits.