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Numerical cognition in speakers of an Amazonian language with exactly twenty number words

Abstract:
Recent research has examined the relationship between number word vocabularies and performance on tasks requiring exact number representation and processing. Many studies in this area have focused on a small number of Amazonian languages, which are reported to have highly restricted number inventories, leaving other Amazonian systems comparatively under-documented. Here we investigate the Awetý number system and assess numerical performance of its speakers within the attested counting range for this language. Contrary to prior claims that Awetý counting is limited to five or ten terms, we show that Awetý has a shared conventional counting system consisting of twenty complex verbal expressions. Twelve Awetý speakers were tested using a battery of 13 tasks that assessed counting, verbal and non-verbal array matching, subtraction, and their Approximate Number System acuity. We compared Awetý speakers’ performance on non-verbal tasks to 12 speakers of Brazilian Portuguese. Awetý speakers’ performance was comparable to Brazilian Portuguese speakers across non-verbal number tasks. These findings show that Awetý speakers can reliably represent and operate on exact numbers up to 20, providing new empirical evidence from an under-described Amazonian language.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s00426-026-02300-x

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Sub department:
Experimental Psychology
Role:
Author
ORCID:
0000-0002-8856-2766
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Role:
Author
ORCID:
0009-0004-6767-1447
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Role:
Author
ORCID:
0000-0001-8845-6026
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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Sub department:
Experimental Psychology
Role:
Author
ORCID:
0000-0003-0132-216X


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Funder identifier:
https://ror.org/0302b4677


Publisher:
Springer
Journal:
Psychological Research More from this journal
Volume:
90
Issue:
3
Article number:
83
Publication date:
2026-04-29
Acceptance date:
2026-04-13
DOI:
EISSN:
1430-2772
ISSN:
0340-0727


Language:
English
Keywords:
Pubs id:
2413866
Local pid:
pubs:2413866
Source identifiers:
3999716
Deposit date:
2026-04-29
ARK identifier:
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