论文标题

使用字符统计来选择文字的种子单词

Selecting Seed Words for Wordle using Character Statistics

论文作者

de Silva, Nisansa

论文摘要

Wordle,一个单词猜测的游戏在2022年1月上升到了全球知名度。该游戏的目的是猜测六个尝试中的五个字母的英语单词。每次尝试都通过更换颜色的瓷砖为玩家提供提示,这些提示告知给定字符是否是解决方案的一部分,以及在该解决方案的一部分的情况下,无论是否在正确的位置中。已经进行了许多尝试,以找到解决日常单词的最佳起点和最佳策略。该研究使用五个字母单词的字符统计数据来确定最佳的三个起始单词。

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.

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