School of Computer Science

Module 11223 (2010)

Module description - Natural Language Processing & Applications

The Module Description is a strict subset of the Syllabus Page.

Module Title Natural Language Processing & Applications
School School of Computer Science
Module Code 06-11223
Level 3/H
Member of Staff Mark Lee
Semester Semester 2 - 10 credits

2 hrs lectures per week plus 6 labs/tutorials


On successful completion of this module, the student should be able to:

  • show knowledge and understanding of the core theory underlying speech and natural language processing
  • explain its relevance to specific applications
  • show an understanding of some current applications of NLP, and evaluate them, demonstrating an appreciation of their strengths and weaknesses
  • Sessional: 1.5 hr examination (80%), continuous assessment (20%).
  • Supplementary: By examination only (100%)
Fuondations of Statistical Natural Language Processing Manning, C. & Schütze, H. Cambridge: MIT Press
Speech and Language Processing Jurafsky, D. & Martin, J.H. Prentice Hall
Statistical Language Learning Charniak, E. Cambridge: MIT Press