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A simple machine learning model of pluralisation as a linear regressionproblem minimising a p-adic metric substantially outperforms even the mostrobust of Euclidean-space regressors on languages in the Indo-European,Austronesian, Trans New-Guinea, Sino-Tibetan, Nilo-Saharan, Oto-Meanguean andAtlantic-Congo language families. There is insufficient evidence to supportmodelling distinct noun declensions as a p-adic neighbourhood even inIndo-European languages.

Number Theory Meets Linguistics: Modelling Noun Pluralisation Across 1497 Languages Using 2-adic Metrics