Natural language processing (NLP) is an incredibly important and valuable component of artificial intelligence, making it a fascinating and rewarding area of study for computer science students. In today's digital age, numerous technologies rely on NLP to interpret and generate human language, such as virtual assistants, search engines for the World Wide Web, and large language models and chatbots. By delving into the realm of NLP, you will gain a deeper understanding of how these cutting-edge technologies work and the significant impact they have on our daily lives. Studying NLP not only allows you to explore the intricacies of artificial intelligence but also provides you with valuable skills that are highly sought after in the tech industry.
(Lectures, Classes) 36
Mini project implementation of a natural language processing method worth 60%.
Online test worth 40%.
Reassessment Method: Like-for-like Including composite form of reassessment for failed practical components – mini-project implementation.
On successfully completing the module, students will be able to:
Critically evaluate and explain the fundamental concepts and techniques of natural language processing.
Critically evaluate the suitability of several types of natural language processing techniques for practical applications.
Appraise and analyse the algorithms and data engineering steps involved in building natural language processing applications.
Appraise the role and potential of natural language processing in a broader context of artificial intelligence.
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