Natural Language Processing
Course description
Content
Introduction to representation, modelling, and processing of natural language. Including machine translation, automatic answering of questions, and information mining from natural language using machine learning methods.
Prerequisites
Knowledge of machine learning (probability theory, linear algebra and classification) and programming in Python.
Practical information
The course is offered as a single-subject course at the Faculty of Science. Single-subject courses typically run for seven to nine weeks with scheduled activities approx. one day per week.
You will be attending the course together with full-time students from the Faculty of Science, and you must meet various admission requirements. The course ends with an exam.
The number of places is limited, and they are allocated on a first-come, first-served basis, so do not delay your application!
Location
Faculty of Science
Department of Computer Science
Nørre Allé 61
DK-2100 Copenhagen