Inferring the drivers of language change using spatial models

TL;DR

This paper investigates whether 20th-century changes in English can be explained by spatial diffusion or if other factors caused biases, using spatial models and comprehensive datasets to analyze language evolution.

Contribution

It introduces a spatial modeling approach to distinguish diffusion-driven changes from biased variations in language evolution.

Findings

Some language changes are explained by diffusion alone.

Other changes are influenced by asymmetries between variants.

Generated spatio-temporal predictions of language change over the 20th century.

Abstract

Discovering and quantifying the drivers of language change is a major challenge. Hypotheses about causal factors proliferate, but are difficult to rigorously test. Here we ask a simple question: can 20th Century changes in English English be explained as a consequence of spatial diffusion, or have other processes created bias in favour of certain linguistic forms? Using two of the most comprehensive spatial datasets available, which measure the state of English at the beginning and end of the 20th century, we calibrate a simple spatial model so that, initialised with the early state, it evolves into the later. Our calibrations reveal that while some changes can be explained by diffusion alone, others are clearly the result of substantial asymmetries between variants. We discuss the origins of these asymmetries and, as a by-product, we generate a full spatio-temporal prediction for the spatial evolution of English features over the 20th Century, and a prediction of the future.