Course Details in 2022/23 Session

Module Title	LM Language and Cognition (Extended)
School	Computer Science
Department	Computer Science
Module Code	06 30245
Module Lead	Mark Lee
Level	Masters Level
Credits	20
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Exclusions
Description	Natural Language Processing enables computers to understand and reason about human languages such as English and has resulted in many exciting technologies such as conversational assistants, machine translation and (intelligent) internet search. This module will provide the theoretical foundations of NLP as well as applied techniques for extracting and reasoning about information from text.
Learning Outcomes	By the end of the module students should be able to: Demonstrate an understanding of the major topics in Natural Language Processing Understand the role of machine learning techniques in widening the coverage of NLP systems. Demonstrate an ability to apply knowledge-based and statistical techniques to real-world NLP problems The student should demonstrate the capacity to independently study, understand, and critically evaluate advanced materials or research articles in the subject areas covered by this module.
Assessment
Assessment Methods & Exceptions	Assessments: Examination (80%), Continuous Assessment (20%) Reassessment: Examination (100%)
Other
Reading List