Semantic, Orthographic, and Phonological Biases in Humans' Wordle Gameplay
Computation and Language
2025-11-14 v2
Abstract
We show that human players' gameplay in the game of Wordle is influenced by the semantics, orthography, and phonology of the player's previous guesses. We compare actual human players' guesses with near-optimal guesses using NLP techniques. We study human language use in the constrained environment of Wordle, which is situated between natural language use and the artificial word association task
Cite
@article{arxiv.2411.18634,
title = {Semantic, Orthographic, and Phonological Biases in Humans' Wordle Gameplay},
author = {Jiadong Liang and Adam Kabbara and Jiaying Liu and Ronaldo Luo and Kina Kim and Michael Guerzhoy},
journal= {arXiv preprint arXiv:2411.18634},
year = {2025}
}
Comments
Findings of the ACL: IJCNLP-AACL 2025 (accepted)