Natural Language Processing
Syllabus, Master's level, 5LN701
- Code
- 5LN701
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Language Technology A1N
- Grading system
- Pass with distinction (VG), Pass (G), Fail (U)
- Finalised by
- The Department Board, 1 December 2010
- Responsible department
- Department of Linguistics and Philology
Learning outcomes
In order to pass the course the student is required to be able to:
(1) give an account of the products, services and technologies that are typical for the language technology field, and provide details of their performance and commercial importance and give examples of common metrics to evaluate them;
(2) describe and implement methods for morphological analysis and tagging of natural language, and evaluate such systems;
(3) write formal grammars for a language-technological purpose;
(4) describe and implement some important parsing algorithms, and evaluate parsing systems;
(5) describe and implement some methods for capturing and/or classifying the content of texts in natural language.
Content
See the intended learning outcomes.