Quantitative linguistics and data visualisation

Our department is a world leader in the development and application of a wide range of advanced statistical and computational methods for linguistic analysis, especially techniques for modelling and visualising complex natural language data.

We are also dedicated to the open science movement, ensuring that the methods and results of our quantitative linguistic research are robust, replicable, and accessible.

Our areas of methodological expertise include:

  • Bayesian statistics
  • Computational models of learning
  • Data visualisation
  • Exploratory multivariate analysis
  • Machine learning and natural language processing
  • Multilevel modelling / linear mixed effects models
  • Random forests
  • Regression analysis and linear modelling
  • Spatial analysis
  • Visualising map data

Academic staff