ETE335 · 3 credits · Basic level (G1N) · Datavetenskap
AI for Natural Language
Active · next start HT 2026
77%
passed the latest regular sitting
UPG1 · 15 Oct 2026 · 39 students
92%
passed the regular sittings, all sittings over the last 5 years
UPG1 · 1,064 students
21%
Harder than 21% of courses at basic level
Compared with 874 courses at the same level, ordinary exams over the last three academic years. 765 students.
Hand-in or lab
UPG1 Assignments
- G
- U
Main rounds
92% passed · 1,064 students
- 77%39
- 87%30
- 90%41
- 95%38
- 90%30
- 97%36
- 89%44
- 96%45
- 94%35
- 94%51
- 96%47
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- 84%25
- 94%32
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- 92%37
- 92%37
- 98%46
- 95%42
- 93%30
- 96%26
- 91%23
- 100%33
- 85%26
- 92%25
- 100%20
- 87%23
- 90%21
- 85%13
- 92%13
- 78%18
- 83%18
- 85%13
- 100%13
- 93%14
Later rounds
90% passed · 314 students
- 87%15
- 100%15
- 100%5
- 100%22
- 90%29
- 100%17
- 96%23
- 67%12
- 90%10
- 100%20
- 83%18
- 86%7
- 100%10
- 89%9
- 92%13
- 91%11
- 94%16
- 69%13
- 60%5
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- 100%5
- 80%5
- 91%11
- 92%13
- Pass a later round: 90% (314 students), compared with 92% (1,064 students) on the ordinary exam
Show small sittings (9)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
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About the course
Aim
On completion of the course, the student shall be able to:
- explain basic methods for the processing of natural language
- practically apply language technology methods to simple problems
- determine what resources are required to solve language technology problems
- distinguish between realistic and unrealistic applications of language technology
- evaluate language technology components and systems with common methods
- use language technology tools, program libraries, and data.
Content
The course consists of six parts:
- Introduction to natural language processing
- Language as data
- Text classification and sentiment analysis
- Computer-based representations of words and sentences
- Natural language understanding
- Language generation and machine translation
- Examiner
- Marco Kuhlmann
- Scheduled hours
- 0 h
- Main field of study
- Datavetenskap