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Natural Language Processing - NLP

The course introduces Natural Language Processing, NLP. 

NLP methods are described in the course in order to process texts in written natural language. Concepts such as syntax, semantics and pragmatics for natural languages are explained.

The course provides a description of the standard NLP methods available for text processing. The methods can be both rule-based and machine learning-based. Results from the NLP methods must be evaluated, the course will describe different evaluation methods. The course covers examples of applications within NLP.
 

  • Course structure

    The language of instruction is English.

    Teaching format

    The teaching activities in the course are: lectures, laboratory works, supervision sessions and seminars.

    Assessment

    The course is examined through assignments and a written examination.

    Examiner

  • Schedule

    The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.
  • Course literature

    Note that the course literature can be changed up to two months before the start of the course.

  • Contact

    This course is part of a programme, course package or incoming exchange studies and is not available for application as a stand-alone course.

    Find more information about Master’s programmes here

    Student counsellor - master