IN4080 – Natural Language Processing

Schedule, syllabus and examination date

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Changes in the course due to coronavirus

Autumn 2020 the exams of most courses at the MN Faculty will be conducted as digital home exams or oral exams, using the normal grading scale. The semester page for your course will be updated with any changes in the form of examination.

See general guidelines for examination at the MN Faculty autumn 2020.

Course content

The course gives a comprehensive overview over modern Natural Language Processing (NLP) with main emphasis on probabilistic and machine learning techniques. Methodology for experiments based on machine learning applied to language data together with evaluation of such experiments is central. The course includes an overview over typical NLP applications, like information extraction, machine translation, question-answering systems, and a more in-depth study of one such application. In addition, the steps in a typical NLP system, like tagging, parsing, named entity recognition, relation extraction will be considered. The course will prepare the students for a master´s thesis in Informatics: Language Technology.

Learning outcome

After completing IN4080:

  • You are familiar with the most central applications of Natural Language Processing (NLP) and have in-depth knowledge of at least one application
  • You are familiar with the central research methods and technologies used in NLP
  • You can carry out NLP experiments involving machine learning and evaluate the results
  • You are familiar with the steps in a typical NLP system and you are able to select and apply tools for these steps
  • You are familiar with the concept of probability and how it is applied in NLP methods and in evaluation

Admission to the course

Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.

Nordic citizens and applicants residing in the Nordic countries may apply to take this course as a single course student.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.

Overlapping courses


Teaching: 2-6 hours a week, varying through the semester between lectures and lab sessions (non-obligatory).

There will be some mandatory projects which must be passed.


4 hours written digital exam

Examination support material

No examination support material is allowed.

Language of examination

You may write your examination paper in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Resit an examination

Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester. Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Oct. 29, 2020 6:14:31 AM

Facts about this course

Teaching language