Natural Language Processing

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:

• Understand the potential and limitations of NLP techniques within application areas
• Be able to describe and discuss the different subareas of NLP

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• Be able to implement NLP algorithms and techniques
• Be able to process text corpora ready for application of NLP algorithms and techniques

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

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.