729G17 · 6 credits · Basic level (G1N) · Kognitionsvetenskap
Language Technology
Discontinued · replaced by 729G86
52%
passed the latest ordinary exam
DIT1 · 18 Mar 2024 · 46 students
63%
passed the ordinary exams, all sittings over the last 5 years
DIT1 · 134 students
Part of 1 programme
Exam
DIT1 Digital Written Exam
- VG
- G
- U
Ordinary exams
63% passed · 134 students
- 52%46
- 87%47
- 46%41
Re-exams
67% passed · 78 students
- 88%8
- 57%7
- 45%22
- 55%11
- 63%8
- 91%22
- Pass the re-exam: 67% (78 students), compared with 63% (134 students) on the ordinary exam
- Get VG: 4% (212 students)
Show small sittings (4)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
- 100%2
- 100%1
- 75%4
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Exam
TEN3 Written exam
- G
- U
No sittings with at least 5 students.
Show small sittings (3)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 33%3
Hand-in or lab
UPG3 Project assignment
- VG
- G
- U
Main rounds
57% passed · 153 students
- 54%50
- 49%51
- 67%52
Later rounds
84% passed · 61 students
- 94%17
- 63%8
- 74%23
- 100%13
- Pass a later round: 84% (61 students), compared with 57% (153 students) on the ordinary exam
- Get VG: 31% (214 students)
Show small sittings (7)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%3
- 100%1
- 0%1
- 100%1
- 100%1
- 100%1
Hand-in or lab
LAB4 Laboratory work
- VG
- G
- U
Main rounds
81% passed · 154 students
- 65%52
- 82%51
- 96%51
Later rounds
58% passed · 19 students
- 100%6
- 33%6
- 43%7
- Pass a later round: 58% (19 students), compared with 81% (154 students) on the ordinary exam
- Get VG: 17% (173 students)
Show small sittings (5)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%2
- 100%1
- 100%4
- 100%2
Hand-in or lab
LAB3 Laboratory work
- G
No sittings with at least 5 students.
Show small sittings (1)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
Hand-in or lab
UPG2 Project work
- VG
- G
No sittings with at least 5 students.
Show small sittings (1)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
About the course
Aim
On completion of the course, the student should be able to:
- explain basic methods for the processing of natural language
- practically apply language technology methods and systems to realistic problems
- evaluate language technology components and systems with appropriate methods
- assess the difficulty of language technology problems and which resources are needed to solve them
Content
Language technology develops methods for making human language accessible to computers. The goal of this course is to provide an introduction to language technology as an application area, and to some of its basic methods. The course focuses on methods based on machine learning.
The course covers the following aspects:
- basic methods and techniques for the analysis and interpretation of natural language
- relevant machine learning methods
- validation methods
- applications of language technology
- tools, software libraries, and data
- Examiner
- Marcel Bollmann
- Main field of study
- Kognitionsvetenskap