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Modules

LCT Modules

This document describes the course structure as accepted by all members of the LCT consortium for the award of the Masters degree.

  • All actual course programmes offered to students by members of the consortium must conform to this structure.

  • The course comprises Compulsory Modules and Advanced Modules in Language Technology and Computer Science, complemented by a Project, a Masters thesis, and a Final State Exam (necessary for students of Charles University).

  • The language of instruction is English.

  • All  credits below refer to ECTS credits

  • Below are course specifications agreed by members of the consortium. See Malta Course Programme for further details of actual courses offered by the University of Malta.

Compulsory Modules

                                     

 

Module

Topics

Credits

Language Technologies

(24 ECTS minimum)

Foundational

(LT-M1)

Statistical methods; symbolic methods; cognition; corpus; text and speech; foundations of linguistics.

at least 6

Computational Syntax and Morphology

(LT-M2)

Finite state techniques; probabilistic approaches; formal grammars; tagging, chunking; parsing.

at least 9

Computational Semantics, Pragmatics and Discourse

(LT-M3)

Syntax-semantics interface; semantic construction; dialogue; ontologies; formal semantics.

at least 9

Computer Science

(24 ECTS minimum)

Data Structures, Data Organization and Processing

(CS-M1)

Algebraic data-types; relational databases; semi-structured data and XML; information retrieval; digital libraries.

at least 6

Logic, Computability and Complexity

(CS-M2)

Logic and inference; automata theory; computability theory; complexity theory; discrete mathematics.

at least 9

Formal Languages and Algorithms

(CS-M3)

Formal grammars and languages hierarchy; parsing and compiler design; search techniques and constraint resolution; automated learning.

at least 9


The study programme followed by a given student can comprise up to 42 ECTS credits. These modules are based on the specific strengths in research and teaching of the partner institutions and thus vary from partner to partner.

From the 42 ECTS credits of this category of module

  • 30 are devoted to a Masters level dissertation

  • Up to 15 may take the form of a project

  • At least 4 credits should be in LT and a further 4 in CS

  • The research masters thesis consists of 30 ECTS credit points.

The main topics are listed in Table 2 below.

Advanced Modules

                 

 

Module

Topics

Credits

Language Technologies

Advanced

(LT-M4)

Machine translation; information and knowledge representation; information retrieval; question answering; speech recognition and generation; models of human language processing and understanding; psycholinguistics.

at least 4

Computer Science

Advanced

(CS-M4)

Artificial intelligence; knowledge representation; automated reasoning; semantic web; intelligent and multi-modal interfaces; cognitive modelling; computational psychology; neural networks; machine learning.

at least 4

[03/10/2009]

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