COM4513 Natural Language Processing (15 credits)

Year Running: 2015/2016

Credit level: F7

Pre-requisites		COM3110 COM4509
Additional Information		This module is only open to students who have taken Text Processing (COM3110/COM4115/COM6115) and Machine Learning and Adaptive Intelligence (COM4509/6509).

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. Students should be aware that there are limited places available on this course.

Reading List

Please click here for reading list.

Teaching Methods

Delivery Type	Hours
Independent	120.0
Lab	10.0
Lecture	20.0

Methods of assessment

Assessment Type	Duration	% of formal assessment	Semester
Course Work	0.0	30 %	S2
Exam	2.0	70 %	S2

Teaching methods and assessment displayed on this page are indicative for 2023-24.