Advanced Natural Language Engineering (G5114)

15 credits, Level 6

Spring teaching

Advanced Natural Language Engineering builds on the foundations provided by the Natural Language Engineering module. You will develop your knowledge and understanding of key topics including word sense disambiguation, vector space models of semantics, named entity recognition, topic modelling and machine translation. 

Seminars will provide an opportunity to discuss research papers related to the key topics and also general issues that arise when developing natural language processing tools, including:

  • hypothesis testing
  • data smoothing techniques
  • domain adaptation
  • generative versus discriminative learning
  • semi-supervised learning 

Labs will provide the opportunity for you to improve your python programming skills, experiment with some off-the-shelf technology and develop research skills.

Teaching

50%: Practical (Laboratory)
50%: Seminar

Assessment

100%: Coursework (Report)

Contact hours and workload

This module is 150 hours of work. This breaks down into 44 hours of contact time and 106 hours of independent study.

This module is running in the academic year 2019/20. We also plan to offer it in future academic years. It may become unavailable due to staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of such changes to modules at the earliest opportunity.