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2011/12 Taught Postgraduate Module Catalogue

COMP5410M Language

15 creditsClass Size: 50

Module manager: Dr Eric Atwell

Taught: Semester 2 View Timetable

Year running 2011/12

This module is mutually exclusive with

COMP3310Natural Language Processing

This module is not approved as an Elective


On completion of this module, students should be able to:
- demonstrate an understanding of the theory and terminology of empirical modelling of natural language;
- ese algorithms, resources and techniques for implementing NLP systems;
- apply machine learning and reasoning techniques to NLP;
- demonstrate familiarity with some of the main language engineering application areas;
- appreciate differences between individual languages.


Short introduction to linguistic theory and terminology. Algorithms and techniques for computer-assisted text processing; including algorithms for syntactic, semantic and discourse analysis. The focus will be on data-driven corpus-based and machine-learning approaches, although some symbolic approaches will also be included. Evaluation methodologies and problems, linked to human performance in these areas. Resources (for example corpora) for NLP. Applications of NLP systems.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Class tests, exams and assessment12.002.00
Private study hours126.00
Total Contact hours24.00
Total hours (100hr per 10 credits)150.00

Private study

Taught session prep: 22 hours;
Taught session follow-up: 44 hours;
Self-directed study: 25 hours;
Assessment activities: 35 hours.

Opportunities for Formative Feedback

Attendance and formative assessment.

Methods of assessment

Assessment typeNotes% of formal assessment
Total percentage (Assessment Coursework)40.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Exam typeExam duration% of formal assessment
Standard exam (closed essays, MCQs etc)2 hr 00 mins60.00
Total percentage (Assessment Exams)60.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 04/10/2011


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