Natural Language Engineering (G5119)

15 credits, Level 5

Autumn teaching

In this module, you are introduced to techniques and concepts involved in the analysing of text by machine - with particular emphases on various practical applications that this technology drives.

You study core, generic text processing models, such as:

  • segmentation
  • stemming
  • part-of-speech tagging
  • named entity recognition
  • phrasal chunking
  • dependency parsing.

You also cover related problems and application areas, such as:

  • document classification
  • information retrieval
  • information extraction.

As part of this, you make extensive use of the Natural Language Toolkit, which is a collection of natural language processing tools written in the Python programming language.

Teaching

50%: Lecture
50%: Practical (Laboratory)

Assessment

50%: Coursework (Report)
50%: Examination (Unseen examination)

Contact hours and workload

We’re currently reviewing contact hours for modules and will update with further information as soon as it is available.

This module is running in the academic year 2020/21. 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.

Courses

This module is offered on the following courses: