Accessibility statement

Natural Language Processing - COM00106M

« Back to module search

  • Department: Computer Science
  • Module co-ordinator: Dr. Suresh Manandhar
  • Credit value: 10 credits
  • Credit level: M
  • Academic year of delivery: 2018-19

Module will run

Occurrence Teaching cycle
A Spring Term 2018-19

Module aims

The aims of the module are:

  • to teach the current state-of-the-art methods in Natural Language Processing (NLP)
  • to prepare a student for a career in NLP
  • to prepare a student for academic research in NLP

Module learning outcomes

  • Build a clear understanding of the key topics in NLP
  • Understand how to build robust wide coverage NLP systems
  • Understand key algorithms in NLP and machine learning that underpin NLP systems
  • Develop critique of current methods in NLP
  • Understand the key open research problems in NLP


Task Length % of module mark
Project Essay
N/A 100

Special assessment rules



Task Length % of module mark
Project Essay
N/A 100

Module feedback

Students will give seminar presentations on the research papers they are reading followed by discussion. Formative feedback will be provided on this.

Indicative reading

*** Christopher Bishop, Pattern Recognition and Machine Learning, Springer, 2007

*** Christopher Manning and Hinrich Schutze, Foundations of Statistical Natural Language Processing, MIT Press, 1999

*** Kevin Murphy, Machine Learning A Probabilistic Perspective, MIT Press, 2012

The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.