2011/12 Undergraduate Module Catalogue
COMP3310 Natural Language Processing
10 creditsClass Size: 70
Module manager: Dr Eric Atwell
Taught: Semester 1 View Timetable
Year running 2011/12
This module is mutually exclusive with
This module is not approved as an Elective
ObjectivesOn completion of this module, students should be able to:
- understand theory and terminology of empirical modelling of natural language;
- understand and use algorithms, resources and techniques for implementing and evaluating NLP systems;
- be familiar with some of the main language engineering application areas;
- appreciate why unrestricted natural language processing is still a major research task.
Short introduction to linguistic theory and terminology. Algorithms and techniques for computer-assisted text processing; Including algorithms for syntactic, semantic and discourse analysis and covering some of the main problems in these areas (tagging, parsing, word sense disambiguation, anaphora resolution).
The focus will be on data-driven, machine-learning and corpus-based approaches. Evaluation methodologies and problems, linked to human performance in these areas. Resources: Corpus design, annotation and analysis; Machine-Readable dictionaries and lexical databases.
Web-based natural language processing. Applications: Current commercial applications for NLP systems and Language Engineering, eg machine translation, information extraction.
|Delivery type||Number||Length hours||Student hours|
|Class tests, exams and assessment||1||2.00||2.00|
|Private study hours||76.00|
|Total Contact hours||24.00|
|Total hours (100hr per 10 credits)||100.00|
Private study- Taught session preparation: 18 hours
- Taught session follow-up: 18 hours
- Self-directed study: 17 hours
- Assessment activities: 23 hours.
Opportunities for Formative FeedbackAttendance and formative assessment.
Methods of assessment
|Exam type||Exam duration||% of formal assessment|
|Standard exam (closed essays, MCQs etc)||2 hr 00 mins||100.00|
|Total percentage (Assessment Exams)||100.00|
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading listThe reading list is available from the Library website
Last updated: 04/10/2011
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