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LT3233 - Computational Linguistics

Offering Academic Unit
Department of Linguistics and Translation
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
(i) LT2231 Introduction to Language Technology (applicable to students of BA in Linguistics and Language Applications), OR 
(ii) CS2311 Computer Programming (applicable to students of BSc. in Data Science and students of BEng in Data and Systems Analytics), OR
(iii) MS3111 Quantitative Business Analysis with Visual Basic for Applications or CS2360 Java Programming or IS2240 Python Programming for Business (applicable to students of BBA in Business Analysis)
Pre-cursor(s)
LT2229 Fundamentals of Linguistics or LT2290 Introduction to Language Studies
Equivalent Course(s)
Course Offering Term*:
Semester B 2024/25

* The offering term is subject to change without prior notice
 
Course Aims

This course aims at introducing students to some of the major issues and solutions in natural language processing. The underlying computational properties of natural languages are considered at the lexical, syntactic, and semantic level from linguistic and statistical perspectives. Modern corpus-based deep learning techniques will be discussed. Selected natural language applications will also be introduced. Concepts taught in class will be reinforced by hands-on practical exercises.


Assessment (Indicative only, please check the detailed course information)
Continuous Assessment: 50%
Examination: 50%
Examination Duration: 2 hours
 
Detailed Course Information
LT3233.pdf