My research interests lie in natural language processing (NLP), computational creativity and music processing/cognition.
Particular areas of research that I am currently focussing on are:
- multilingual NLP and language transfer for low-resource languages;
- application of NLP to noisy, historical data;
- cross-lingual representation learning;
- combination of Bayesian modelling and neural representation learning.
Building a digital investigator for historical newspapers. Topic modelling for analysis of multilingual, noisy output from automated text recognition.
Addressing the challenges of multilinguality in the EU using cross-lingual embeddings to allow existing monolingual resources to be used across languages. Multilingual techniques for news analysis and media production.
Upcoming! Mar–Apr 2021: Masters-level lecture course, Natural Language Processing.
Earlier in my time as a postdoc in the Discovery Group, I worked on the project Digital Language Typology, discovering family relationships between languages with digital textual and speech material, focussing on low-resourced Uralic languages, funded by the Academy of Finland. I also worked on Immersive Automation, investigating and building tools for future news technology, including Natural Language Generation.
From 2013 to 2016, at the University of Cambridge, I worked on the What-If Machine (WHIM) EU FP7 project with Stephen Clark. It concerned building a computational model of creativity, constructing a system that automatically produces ideas that may serve as the basis for cultural artefacts. More...
From 2009 to 2013, I completed my PhD at the University of Edinburgh with Mark Steedman in 2013. The project concerned the application of NLP techniques to music processing. We developed a grammar to model the structure of tonal harmony and used statistical parsing for automatic harmonic analysis. More...
In 2008-9, I worked for Mercurytide.
Earlier, I did a masters in Informatics at the University of Edinburgh and an undergraduate degree in Computer Science at the University of Cambridge.