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.
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 in Master's programme in AI and Language.
Information for admitted students spring 2025
Congratulations! You have been admitted at Stockholm University and we hope that you will enjoy your studies with us.
In order to ensure that your studies begin as smoothly as possible we have compiled a short checklist for the beginning of the semester.
Follow the instructions on whether you have to reply to your offer or not.
universityadmissions.se
Checklist for admitted students
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Activate your university account
The first step in being able to register and gain access to all the university's IT services.
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Register at your department
Registration can be done in different ways. Read the instructions from your department below.
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Read all the information on this page
Here you will find what you need to know before your course or programme starts.
IMPORTANT
Your seat may be withdrawn if you do not register according to the instructions provided by your department.
Information from your department
On this page you will shortly find information on registration, learning platform, etc.
Welcome activities
Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department.
Find your way on campus
Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.
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For new international students
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 in Master's programme in AI and Language.
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Course structure
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
Beáta Megyesi (examiner and coordinating teacher)
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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. -
Contact
For more contact details, see our education pages:
Contact information for student affairs
If you have questions about the Master's programme in AI and Language, contact us at master-ai@ling.su.se.
Student Office- Visiting address
C378
- Office hours
Tuesdays 9–10
Wednesdays 13–15
Thursdays 13–16
- Phone hours
Tuesdays 9–10
Wednesdays 13–15
Thursdays 9–11 and 13–16
