Recursive numeral systems are highly regular and easy to process

Fuente: arXiv
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Main Authors: Prasertsom, Ponrawee, Silvi, Andrea, Culbertson, Jennifer, Johansson, Moa, Dubhashi, Devdatt, Smith, Kenny
Format: Preprint
Published: 2025
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author Prasertsom, Ponrawee
Silvi, Andrea
Culbertson, Jennifer
Johansson, Moa
Dubhashi, Devdatt
Smith, Kenny
author_facet Prasertsom, Ponrawee
Silvi, Andrea
Culbertson, Jennifer
Johansson, Moa
Dubhashi, Devdatt
Smith, Kenny
contents Much recent work has shown how cross-linguistic variation is constrained by competing pressures from efficient communication. However, little attention has been paid to the role of the systematicity of forms (regularity), a key property of natural language. Here, we demonstrate the importance of regularity in explaining the shape of linguistic systems by looking at recursive numeral systems. Previous work has argued that these systems optimise the trade-off between lexicon size and average morphosyntatic complexity (Denić and Szymanik, 2024). However, showing that only natural-language-like systems optimise this trade-off has proven elusive, and existing solutions rely on ad-hoc constraints to rule out unnatural systems (Yang and Regier, 2025). Drawing on the Minimum Description Length (MDL) approach, we argue that recursive numeral systems are better viewed as efficient with regard to their regularity and processing complexity. We show that our MDL-based measures of regularity and processing complexity better capture the key differences between attested, natural systems and theoretically possible ones, including "optimal" recursive numeral systems from previous work, and that the ad-hoc constraints naturally follow from regularity. Our approach highlights the need to incorporate regularity across sets of forms in studies attempting to measure efficiency in language.
format Preprint
id arxiv_https___arxiv_org_abs_2510_27049
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Recursive numeral systems are highly regular and easy to process
Prasertsom, Ponrawee
Silvi, Andrea
Culbertson, Jennifer
Johansson, Moa
Dubhashi, Devdatt
Smith, Kenny
Computation and Language
Formal Languages and Automata Theory
Much recent work has shown how cross-linguistic variation is constrained by competing pressures from efficient communication. However, little attention has been paid to the role of the systematicity of forms (regularity), a key property of natural language. Here, we demonstrate the importance of regularity in explaining the shape of linguistic systems by looking at recursive numeral systems. Previous work has argued that these systems optimise the trade-off between lexicon size and average morphosyntatic complexity (Denić and Szymanik, 2024). However, showing that only natural-language-like systems optimise this trade-off has proven elusive, and existing solutions rely on ad-hoc constraints to rule out unnatural systems (Yang and Regier, 2025). Drawing on the Minimum Description Length (MDL) approach, we argue that recursive numeral systems are better viewed as efficient with regard to their regularity and processing complexity. We show that our MDL-based measures of regularity and processing complexity better capture the key differences between attested, natural systems and theoretically possible ones, including "optimal" recursive numeral systems from previous work, and that the ad-hoc constraints naturally follow from regularity. Our approach highlights the need to incorporate regularity across sets of forms in studies attempting to measure efficiency in language.
title Recursive numeral systems are highly regular and easy to process
topic Computation and Language
Formal Languages and Automata Theory
url https://arxiv.org/abs/2510.27049