Natural Language Understanding
Spring Semester 2017
This course presents an introduction to general topics and techniques used in natural language processing today, primarily focusing on statistical approaches. The course provides an overview of the primary areas of research in language processing as well as a detailed exploration of the models and techniques used both in research and in commercial natural language systems.
The objective of the course is to learn the basic concepts in the statistical processing of natural languages. The course will be project-oriented so that the students can also gain hands-on experience with state-of-the-art tools and techniques.
Course Catalogue Info
||The webpage for this year's course is online.
|and exercise starts on Monday 27th!
||Exercise starts on Monday March 6th!
||Weekly assignment 4 is online.
Project description for Task 1 out of 2 is online: here.
Before sending us questions, please check the FAQ here.
Exercise groups (starting february 29)
Speech and Language Processing - An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (Second Edition), by Daniel Jurafsky and James H. Martin