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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) CTL2231 Introduction to Language Technology, LT2231 Introduction to Language Technology and (ii) CTL2201 Introduction to Linguistics, LT2201 Introduction to Linguistics or CTL2229 Linguistics I, LT2229 Linguistics I or CTL2290 Introduction to Language Studies , LT2290 Introduction to Language Studies

Equivalent Course(s)
Course Offering Term*:
Semester A 2018/19
Semester A 2019/20 (Tentative)

* 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.  Both traditional rule-based context-free models and modern corpus-based quantitative 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

Useful Links

Department of Linguistics and Translation