Machine learning for statistical NLP: advanced
University of GothenburgGöteborg, Sweden
Fee for international students
- Intakes
- Not published
- Duration
- 0.3 years
Programme facts
- Level
- Master's
- Duration
- 0.3 years
- Language of teaching
- English
- Study mode
- online
- Credits
- 8 ECTS
- Intakes
- Not published
About this programme
No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students. In this course, students will get hands-on experience in machine learning for language technology applications, including multimodal applications. This course will cover neural networks and related contemporary techniques and concepts. Students will improve their machine learning skills by developing simple NLP applications in widely-used programming frameworks and get practice in making and implementing design choices independently. - programming, 7.5 hec, and - machine learning, 7.5 hec, and - introductory natural language processing or computational linguistics, 7.5 hec. Credits within computational linguistics, language technology, and language informatics. The Faculty of Humanities is located in the Humanisten building at Renströmsgatan 6. The Department of Philosophy, Linguistics and Theory of Science has its premises on the 5th floor. Both the Faculty of Humanities and the adjacent Humanities Library offer several study areas and group rooms.
Entry requirements
This university does not publish entry requirements in our data. A counsellor can confirm them for you.
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