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

November 14, 2024 ยท Declared Dead ยท ๐Ÿ› IJCNLP-AACL

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Authors Jiadong Liang, Adam Kabbara, Jiaying Liu, Ronaldo Luo, Kina Kim, Michael Guerzhoy arXiv ID 2411.18634 Category cs.CL: Computation & Language Citations 0 Venue IJCNLP-AACL Last Checked 6 months ago
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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