Module code: LIN7075
Credits: 15.0
Semester: SEM2
Contact: Prof David Adger
Prerequisite: Before taking this module you must take LIN7076
This module introduces students to advanced concepts and algorithms in computational linguistics underlying contemporary generative AI models, for language. It covers core computational architectures used in Natural Language Processing and in Large Language Models, advanced linguistic concepts (constituency, ambiguity, dependency, semantic roles, affect, anaphora, and discourse cohesion) and how computational approaches, both symbolic and neural, can be applied to these. Throughout the module students will learn to connect linguistics and artificial intelligence techniques, and consider the ethical and research issues that arise.
Connected course(s): UDF DATA
Assessment: 100.0% Coursework
Level: 7
