Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Moa Johansson
Observed name:
Johansson, Moa
Institutions:
Chalmers University of Technology,
University of Gothenburg
Observed institutions:
Chalmers University of Technology,
University of Gothenburg
OpenAlex ID:
A5126890882
Recursive numeral systems are highly regular and easy to process
2026
·
Association for Computational Linguistics 2026
, Culbertson, Jennifer
, et al.
·
Underline Science Inc.
Evaluating the relationship between regularity and learnability in recursive numeral systems using Reinforcement Learning
2026
·
Silvi, Andrea
, Prasertsom, Ponrawee
, et al.
·
arXiv (Cornell University)
PDF
Recursive numeral systems are highly regular and easy to process
2026
·
Ponrawee Prasertsom
, Andrea Silvi
, et al.
·
Conference of the European Chapter of the Association for Computational Linguistics
PDF
Learning Efficient Recursive Numeral Systems via Reinforcement Learning
2025
·
Cognitive Science Society 2025
, Carlsson, Emil
, et al.
·
Underline Science Inc.
PACE: Procedural Abstractions for Communicating Efficiently
2025
·
Cognitive Science Society 2025
, Dubhashi, Devdatt
, et al.
·
Underline Science Inc.
Show more works
View as search
Works count:
7
Citation count:
H-index:
I10-index:
Year
Topic
Type
