CLNov 14, 2024

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

arXiv:2411.18634v21 citationsh-index: 1IJCNLP-AACL
Originality Synthesis-oriented
AI Analysis

This research addresses the problem of understanding human language biases in a constrained game environment for cognitive science and NLP researchers, but it is incremental as it applies existing methods to a new context.

The study investigated how human players' guesses in Wordle are influenced by semantics, orthography, and phonology, comparing them to near-optimal guesses using NLP techniques.

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

Foundations

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