mlsanityData to 14 Oct 2026

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

arXiv 2211.13124 ↗First posted 8 Oct 2022cs.CL math.NTcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 4 of its 16 references that are in the map. First posted on arXiv 8 Oct 2022.

Builds on

4 of 16 references.

References · 4

  1. 2017Poincar'e Embeddings for Learning Hierarchical Representationscited by 684
  2. 2018Poincar'e GloVe: Hyperbolic Word Embeddingscited by 156
  3. 2022Cross-lingual Word Embeddings in Hyperbolic Spacecited by 2
  4. 2022The Construction and Evaluation of the LEAFTOP Dataset of Automatically Extracted Nouns in 1480 Languagescited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025Learning with the p-adicscited by 4
  2. 2026Continuous Optimization for p-adic Modelscited by 0