COM4513 Natural Language Processing

Pre-requisites: COM3110, COM4115, COM4509

Aims/Description: This module provides an introduction to the field of computer processing of written natural language, known as Natural Language Processing (NLP). We will cover standard theories, models and algorithms, discuss competing solutions to problems, describe example systems and applications, and highlight areas of open research.

Restrictions on availability: This module is only open to students who have taken Text Processing (COM3110/COM4115/COM6115) and Machine Learning and Adaptive Intelligence (COM4509/6509).

Staff Contact: ALETRAS NIKOLAOS

Teaching Methods: Lectures, Laboratory work, Independent Study

Assessment: Formal Exam, Project/ portfolio

Notes: This unit forms part of an accredited degree programme

Information on the department responsible for this unit (Computer Science):

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Teaching timetable

NOTE The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Teaching methods and assessment displayed on this page are indicative for 2025-26.