Much of my research deals with the variability inherent in language. I am particularly interested in how language-internal factors influence sound change and what this tells us about how variation is represented in speakers’ grammars. Alongside my doctoral research into northern English velar nasals, I am involved in a project investigating diachronic and synchronic frequency effects in Manchester /t/-glottalling, conducted alongside Ricardo Bermúdez-Otero, Maciej Baranowski and Danielle Turton, which engages with important issues of phonological representation.
I’m also interested in articulatory phonetics, and in particular the mapping between acoustics and articulation. I am currently involved in an ongoing research project (alongside Stephen Nichols) using ultrasound tongue imaging and electromagnetic articulography to investigate /s/-retraction in British English, which explores how different articulatory mechanisms are used to hit similar acoustic targets. Read about it here and here!
I also work a lot with large corpora of Twitter data to investigate regional variation and to explore innovative methods in variationist linguistics. I’ve already collected and analysed a 16 million tweet corpus of geotagged tweets, which you can read about here, and I’ve also delivered workshops on how to collect and analyse Twitter data for linguistic research (you can access materials from the latest one here).
As a frequent user of Forced Alignment software like FAVE, I have looked into the possibility of using such methodological tools to automate the detection of sociolinguistic variation. I’ve presented on this topic at NWAV (read about it here and here!) and I’m currently pursuing further ways to increase efficiency in variationist analysis and improve the accuracy of speech~text alignment.