Number Theory Meets Linguistics: Modelling Noun Pluralisation Across 1497 Languages Using 2-adic Metrics
A simple machine learning model of pluralisation as a linear regression problem minimising a p-adic metric substantially outperforms even the most robust of Euclidean-space regressors on languages in the Indo-European, Austronesian, Trans New-Guinea, Sino-Tibetan, Nilo-Saharan, Oto-Meanguean and Atl...
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Zusammenfassung: | A simple machine learning model of pluralisation as a linear regression
problem minimising a p-adic metric substantially outperforms even the most
robust of Euclidean-space regressors on languages in the Indo-European,
Austronesian, Trans New-Guinea, Sino-Tibetan, Nilo-Saharan, Oto-Meanguean and
Atlantic-Congo language families. There is insufficient evidence to support
modelling distinct noun declensions as a p-adic neighbourhood even in
Indo-European languages. |
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DOI: | 10.48550/arxiv.2211.13124 |