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Natural Language Processing

Lecturer: Dr E.J. Briscoe (ejb@cl.cam.ac.uk)

No. of lectures: 8

Prerequisite courses: none, but Regular Languages and Finite Automata, Probability, Logic and Proof, and Artificial Intelligence cover relevant material


Aims


This course aims to introduce the fundamental techniques of natural language processing, to develop an understanding of the limits of those techniques and of current research issues, and to evaluate some current and potential applications.


Objectives


At the end of the course students should

Recommended background reading


Pinker, S. (1994). The Language Instinct. Penguin.


Recommended books


Allen, J. (1987/1995). Natural Language Understanding. Benjamin/Cummings (2nd ed. is the best single book on NLP).
Russell, S. & Norvig, P. (1995). Artificial Intelligence: A Modern Approach. Prentice-Hall. (Especially Chapter VII, but see III, IV and V for supporting material.)



next up previous contents
Next: Comparative Architectures Up: Lent Term 2000: Part Previous: Security
Christine Northeast
Mon Sep 20 10:28:43 BST 1999