Semantic, Orthographic, and Phonological Biases in Humans' Wordle Gameplay
November 14, 2024 ยท Declared Dead ยท ๐ 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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