Computer Laboratory

Course pages 2014–15

Natural Language Processing

Lecture notes
Slides for lecture 1
Slides for lecture 2
Slides for lecture 3
Slides for lecture 4
Slides for lecture 5
Slides for lecture 6
Slides for lecture 7

Lectures 11 and 12 are not directly examinable. That is, you will not be required to remember any of the details of what is discussed in those lectures in order to answer an exam question, though we do hope that lectures 11 and 12 will help you to understand some of the material in the previous lectures better.

Some NLP and language related links: Current links
Sample chart parsing code, contributed by Paula Buttery (lecture 4)