CLFeb 7, 2022

Selecting Seed Words for Wordle using Character Statistics

arXiv:2202.03457v313 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a specific optimization problem for Wordle players, but it is incremental as it builds on existing statistical approaches without introducing new paradigms.

The study tackled the problem of finding optimal starting words for the Wordle game by analyzing character statistics of five-letter words, resulting in the identification of the best three starting words.

Wordle, a word guessing game rose to global popularity in the January of 2022. The goal of the game is to guess a five-letter English word within six tries. Each try provides the player with hints by means of colour changing tiles which inform whether or not a given character is part of the solution as well as, in cases where it is part of the solution, whether or not it is in the correct placement. Numerous attempts have been made to find the best starting word and best strategy to solve the daily wordle. This study uses character statistics of five-letter words to determine the best three starting words.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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