Numeral Systems Across Languages Support Efficient Communication: From Approximate Numerosity to Recursion
Author(s) -
Yang Xu,
Emmy Liu,
Terry Regier
Publication year - 2020
Publication title -
open mind
Language(s) - English
Resource type - Journals
ISSN - 2470-2986
DOI - 10.1162/opmi_a_00034
Subject(s) - numeral system , numerosity adaptation effect , computer science , set (abstract data type) , recursion (computer science) , variation (astronomy) , theoretical computer science , mathematics , cognition , artificial intelligence , algorithm , psychology , programming language , physics , neuroscience , astrophysics
Languages differ qualitatively in their numeral systems. At one extreme, some languages have a small set of number terms, which denote approximate or inexact numerosities; at the other extreme, many languages have forms for exact numerosities over a very large range, through a recursively defined counting system. Why do numeral systems vary as they do? Here, we use computational analyses to explore the numeral systems of 30 languages that span this spectrum. We find that these numeral systems all reflect a functional need for efficient communication, mirroring existing arguments in other semantic domains such as color, kinship, and space. Our findings suggest that cross-language variation in numeral systems may be understood in terms of a shared functional need to communicate precisely while using minimal cognitive resources.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom