Machine learning for statistical NLP: advanced
About
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.
Prerequisites and selection
Entry requirements
Admission to the course requires a passed result in each of the following:
- programming, 7.5 hec, and
- machine learning, 7.5 hec, and
- introductory natural language processing or computational linguistics, 7.5 hec.
Equivalent skills can also result in admission to the course.
English 6 or equivalent is also required.
Selection
Credits within computational linguistics, language technology, and language informatics.
Facilities
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.
