Professor Matthew Purver, BA MPhil PhD

Teaching

Natural Language Processing (Postgraduate)

Natural Language Processing (aka Computational Linguistics) has become an important and growing field in the last decade. Many of the most important applications for computing now involve the processing and understanding of spoken or written language: machine translation, question answering, news summarisation, text and opinion mining, and spoken dialogue systems like the iPhone's Siri. This module will introduce the core techniques in language processing, including statistical and rule-based approaches, and show how to apply them to the main application areas.

Neural Networks and NLP (Postgraduate)

Natural Language Processing (NLP) has become one of the most important technologies in Artificial Intelligence. Automatic methods for processing natural language now find application in almost every aspect of our communication in person or online, in particular through social media. The increased use of Neural Networks has played an important role in the most recent progress of NLP, as NN techniques have delivered improved performance in applications ranging from language modelling (next word prediction) to speech to machine translation to sentiment analysis. The proposed module provides a thorough introduction to this cutting-edge approach to developing NLP systems.

Research

Research Interests:

See Matthew Purver’s research profile pages including details of research interests, publications, and live grants.