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

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


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.
Anthology ID:
2025.findings-ijcnlp.67
Volume:
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
Month:
December
Year:
2025
Address:
Mumbai, India
Editors:
Kentaro Inui, Sakriani Sakti, Haofen Wang, Derek F. Wong, Pushpak Bhattacharyya, Biplab Banerjee, Asif Ekbal, Tanmoy Chakraborty, Dhirendra Pratap Singh
Venue:
Findings
SIG:
Publisher:
The Asian Federation of Natural Language Processing and The Association for Computational Linguistics
Note:
Pages:
1128–1135
Language:
URL:
https://preview.aclanthology.org/ingest-ijcnlp-aacl/2025.findings-ijcnlp.67/
DOI:
Bibkey:
Cite (ACL):
Jiadong Liang, Adam Kabbara, Jiaying Liu, Ronaldo Luo, Kina Kim, and Michael Guerzhoy. 2025. Semantic, Orthographic, and Phonological Biases in Humans’ Wordle Gameplay. In Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, pages 1128–1135, Mumbai, India. The Asian Federation of Natural Language Processing and The Association for Computational Linguistics.
Cite (Informal):
Semantic, Orthographic, and Phonological Biases in Humans’ Wordle Gameplay (Liang et al., Findings 2025)
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PDF:
https://preview.aclanthology.org/ingest-ijcnlp-aacl/2025.findings-ijcnlp.67.pdf