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arXiv:2411.18634cs.CL

Semantic, Orthographic, and Phonological Biases in Humans' Wordle Gameplay

Jiadong Liang, Adam Kabbara, Jiaying Liu, Ronaldo Luo, Kina Kim, Michael Guerzhoy

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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

arXiv comments
Findings of the ACL: IJCNLP-AACL 2025 (accepted)
Journal reference
DOI
Subjects
cs.CLComputation and Language

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