Full-time - Day-time class
The track Natural Language Processing and Learning takes two academic years (120 EC), which awards a Master of Science degree in Artificial Intelligence.
Over the past few years, research towards natural language processing has shown strong evidence as to the effectiveness of models that involve both hierarchicalstructure as well as statistical learning from corpora.
This track studies the state-of-the-art statistical models for complex language processing tasks such as parsing, language modeling and machine translation. A characteristic of some of these models is that they involve defining probability measures over hierarchical structure, e.g., trees and graphs. The track covers supervised as well as unsupervised methods for learning these models directly from large training corpora and provides the necessary background for research in Computational Linguistics and Natural Language Processing.
