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Course unit, curriculum year 2022–2023
MVK.KT.360
Basics of Neural Machine Translation, 2–5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 1 (1.8.2022–23.10.2022)
Active in period 2 (24.10.2022–31.12.2022)
Course code
MVK.KT.360Language of instruction
EnglishAcademic years
2021–2022, 2022–2023, 2023–2024Level of study
Advanced studiesGrading scale
Pass-FailPersons responsible
Responsible teacher:
Mary NurminenResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Language Studies 100 %
Common learning outcomes
International outlook and global responsibility
Sustainable development
This is a digital course that takes place fully online.
Contents module 1: NMT Technology
- Machine translation history
- How NMT works
- Translators and NMT
- Quality evaluation
- Future implications
Contents module 2: MT Use and Users
- MT use in various contexts
- MT in service to humanity
- Contextual factors that influence reception
- MT literacy
- MT and the future
Learning outcomes
Recommended prerequisites
Learning material
Studies that include this course
Completion option 1
Module 1: NMT Technology
Participation in teaching
05.09.2022 – 15.12.2022
Active in period 1 (1.8.2022–23.10.2022)
Active in period 2 (24.10.2022–31.12.2022)
Completion option 2
Module 2: MT Use and Users
Participation in teaching
05.09.2022 – 15.12.2022
Active in period 1 (1.8.2022–23.10.2022)
Active in period 2 (24.10.2022–31.12.2022)
Completion option 3
Module 1: NMT Technology and Module 2: MT Use and Users
Completion of all options is required.
Participation in teaching
05.09.2022 – 15.12.2022
Active in period 1 (1.8.2022–23.10.2022)
Active in period 2 (24.10.2022–31.12.2022)
Participation in teaching
05.09.2022 – 15.12.2022
Active in period 1 (1.8.2022–23.10.2022)
Active in period 2 (24.10.2022–31.12.2022)