Natural Language Processing

This course in language technology will introduce key techniques used in language technology applications. The course is designed to provide you with a foundation in automatic text analysis and processing.
Ai generated image based on the course description.

Image generated by OpenAI's DALL·E on the basis of the course description (LIS060) 07/02/2024.

Throughout the course, you will develop basic methodological skills to analyze and process text automatically.

You will dive into the theoretical concepts behind language technology, and simultaneously gain practical experience with the tools and methods used in the field. The course covers:

  • Language Models – understanding the models that enable computers to process and understand human language.
  • Methods and Techniques for Language Technology Applications – an overview of the various methods and techniques that are crucial for the development of language technology applications.
  • Evaluation of Methods and Systems – knowledge on how to critically evaluate different methods and systems for their efficiency and applicability in real-world situations.

Language technology is a course in our 
Master's programme in AI and Language.



Teaching Format

Instruction is given in the form of lectures, seminars and laboratory sessions.


Assessment

This course is examined on the basis of written assignments and oral presentations.

Examiner

Robert Östling (examiner and coordinating teacher)

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.


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


Course reports are displayed for the three most recent course instances.








If you have questions about the Master's programme in AI and Language, contact us at master-ai@ling.su.se.

You are welcome to contact our Student Office!

Department of Linguistics

Student Office

Visiting addressRoom C 378, floor 3

Visiting hoursTuesdays 9–10,
Wednesdays 13–15,
Thursdays 13–16

Phone hoursTuesdays 9–10,
Wednesdays 13–15,
Thursdays 9–11 and 13–16