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Linglib.Phenomena.Numerals.Studies.WoodinEtAl2024

@cite{woodin-etal-2023}: Numeral Frequency and Roundness #

@cite{sigurd-1988} @cite{woodin-etal-2023}

Corpus study showing number frequency is predicted by: (a) log magnitude, and (b) graded roundness via Sigurd/Jansen & Pollmann k-ness properties.

Key finding: each k-ness property has an independent positive effect on frequency, with 10-ness being the strongest predictor and multipleOf5 the weakest.

Register Effect #

Informational texts (Wikipedia) show stronger roundness effects than non-informational texts (fiction, conversation), suggesting roundness interacts with communicative goals.

Regression coefficient for each k-ness property on log frequency.

Higher β = stronger positive effect on numeral frequency in corpora. All coefficients are positive: each property independently increases frequency.

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      β coefficients ordered by magnitude (Table 3).

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        The 6 coefficients in descending order.

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          Frequency-weighted roundness score using Woodin et al.'s β coefficients.

          Unlike the unweighted roundnessScore (which counts properties equally), this weights each property by its empirical frequency effect.

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            Register type from corpus analysis.

            Informational registers (Wikipedia) show stronger roundness effects than non-informational registers (fiction, conversation).

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                Register effect datum: roundness β is larger in informational texts.

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