@inproceedings{liang-etal-2025-semantic,
title = "Semantic, Orthographic, and Phonological Biases in Humans' Wordle Gameplay",
author = "Liang, Jiadong and
Kabbara, Adam and
Liu, Jiaying and
Luo, Ronaldo and
Kim, Kina and
Guerzhoy, Michael",
editor = "Inui, Kentaro and
Sakti, Sakriani and
Wang, Haofen and
Wong, Derek F. and
Bhattacharyya, Pushpak and
Banerjee, Biplab and
Ekbal, Asif and
Chakraborty, Tanmoy and
Singh, Dhirendra Pratap",
booktitle = "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 = dec,
year = "2025",
address = "Mumbai, India",
publisher = "The Asian Federation of Natural Language Processing and The Association for Computational Linguistics",
url = "https://aclanthology.org/2025.findings-ijcnlp.67/",
pages = "1128--1135",
ISBN = "979-8-89176-303-6",
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."
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%0 Conference Proceedings
%T Semantic, Orthographic, and Phonological Biases in Humans’ Wordle Gameplay
%A Liang, Jiadong
%A Kabbara, Adam
%A Liu, Jiaying
%A Luo, Ronaldo
%A Kim, Kina
%A Guerzhoy, Michael
%Y Inui, Kentaro
%Y Sakti, Sakriani
%Y Wang, Haofen
%Y Wong, Derek F.
%Y Bhattacharyya, Pushpak
%Y Banerjee, Biplab
%Y Ekbal, Asif
%Y Chakraborty, Tanmoy
%Y Singh, Dhirendra Pratap
%S 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
%D 2025
%8 December
%I The Asian Federation of Natural Language Processing and The Association for Computational Linguistics
%C Mumbai, India
%@ 979-8-89176-303-6
%F liang-etal-2025-semantic
%X 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.
%U https://aclanthology.org/2025.findings-ijcnlp.67/
%P 1128-1135
Markdown (Informal)
[Semantic, Orthographic, and Phonological Biases in Humans’ Wordle Gameplay](https://aclanthology.org/2025.findings-ijcnlp.67/) (Liang et al., Findings 2025)
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.