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Terrain signatures in Welsh settlement names

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Computer Science > Machine Learning

arXiv:2608.26978 (cs)
[Submitted on 27 Aug 2026]

Title:Terrain signatures in Welsh settlement names

View a PDF of the paper titled Terrain signatures in Welsh settlement names, by Oktay Karaku\c{s} and 1 other authors
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Abstract:Landscapes are named, but whether names retain measurable environmental information beyond broad geographic structure is rarely tested. We analysed 3,757 Welsh settlements using a frozen, source-audited 24-element lexical framework, preregistered outcome-specific models and geographically structured validation. The central comparison contrasted 101 settlements carrying high-terrain elements (\textit{bryn} or \textit{mynydd}) with 139 carrying low-terrain elements (\textit{cwm} or \textit{pant}). High-terrain names occupied locations 24.4 m higher relative to their 2-km surroundings (95\% CI, 10.8--38.1 m; Holm-adjusted $p$ = 0.00137). The association remained positive across prespecified 1-, 2- and 5-km neighbourhood definitions and was reproduced using an independently produced elevation source (24.1 m; 95\% CI, 10.6--37.6 m). Adding terrain-name polarity to a non-lexical spatial and settlement baseline reduced geographically held-out mean squared error by 4.63\%, 6.22\% and 7.30\% under 10-, 25- and 50-km spatial blocking, respectively, although improvement varied among held-out regions. River-related names provided weaker, directionally consistent evidence, while the preregistered woodland model was non-estimable. Residual spatial structure, unresolved name language and the absence of independent external replication limit interpretation. Selected Welsh settlement-name categories therefore retain measurable information about present-day terrain within Wales, without establishing individual etymology, causal naming, historical environmental memory or transferability to other naming systems.
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)
Cite as: arXiv:2608.26978 [cs.LG]
  (or arXiv:2608.26978v1 [cs.LG] for this version)
  https://doi.org/10.48550/arXiv.2608.26978
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Oktay Karakus Dr [view email]
[v1] Thu, 27 Aug 2026 11:24:11 UTC (4,027 KB)
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