Language typology and statistics
Emil O. W. Kirkegaard · 2021
Statistical methods are presented to a linguistics audience. Statistical methods are then applied to the large WALS dataset to show that automated methods can identify patterns among language features. These results are shown to be more extreme than one would expect based on chance variation. Furthermore, it is shown numerically that language features exhibit spatial autocorrelation which needs to be taken into account when using numerical methods.