Module overview
Linked modules
prerequisites: COMP6245 or COMP6246
Aims and Objectives
Learning Outcomes
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- Key concepts, tools and approaches for handling textual data
- Algorithms commonly used for NLP problems such as information extraction, machine translation, text summarization and question answering
- The underlying algorithmic and linguistic basis for NLP techniques
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Show an appreciation of the landscape of tools used for NLP within application areas
- Describe and critically appraise the different subareas of NLP
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- Implement NLP algorithms and techniques
- Process text corpora ready for application of NLP algorithms and techniques
Syllabus
Learning and Teaching
Teaching and learning methods
| Type | Hours |
|---|---|
| Completion of assessment task | 45 |
| Specialist Laboratory | 8 |
| Wider reading or practice | 45 |
| Revision | 10 |
| Preparation for scheduled sessions | 18 |
| Lecture | 24 |
| Total study time | 150 |
Resources & Reading list
Internet Resources
Speech and Language Processing, 3rd ed. draft (online preferred).
Textbooks
Steven Bird, Ewan Klein & Edward Loper (2009). Natural Language Processing with Python. O'Reilly Media.
Aurélien Géron (2017). Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O′Reilly Media.
Jurafsky and Martin (2009). Speech and Language Processing. Prentice Hall.
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Coursework | 25% |
| Examination | 75% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Examination | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
| Method | Percentage contribution |
|---|---|
| Examination | 100% |
Repeat Information
Repeat type: Internal & External