This unit applies machine learning techniques to obtain leading results on solving the problems of natural language processing (NLP). NLP is considered as a critical step to create effective communications and interactions between machines and human beings. Through these applications in NLP the students will learn about the basic concepts of NLP, methodologies to represent human natural language in machines, and the application of cutting-edge techniques to train machines to achieve human-like abilities to understand natural language. The students will learn how to use machines to comprehend text, speech, and visual information, that are used in most AI systems.

Unit details

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Learning Outcomes

On successful completion of this unit, students will be able to:
  1. Critically review NLP applications and developments;  
  2. Disaggregate and appraise the components in a typical NLP application architecture;  
  3. Investigate and apply knowledge discovery processes and associated models to complex NLP application scenarios;  
  4. Experiment with different combinations of data set to propose training frameworks and models, and evaluate the performance; and  
  5. Extrapolate knowledge and skills to design and develop an NLP application to support and provide business solutions.  


Assessment type Description Grade
Assignment Assignment 20%
Project Project 40%
Test Open book test (concepts, modelling, programming and scenario analysis) 40%
Assignment - Develop a simple NLP program to solve a basic practical problem, for example students will create a model to summarise a paragraph to show that a machine is able to understand the contents. Project - Solve a complex practical problem in a scenario, e.g. to receive oral commands from a person and process corresponding actions.

Where to next?

As part of a course

This unit is studied as part of the following courses. Refer to the course page for information on how to apply for the course.

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