Communication plays a vital role in human interaction. Studying language is a worthwhile task and more recently has become quantitative in nature with developments of fields like quantitative comparative linguistics and lexicostatistics. With respect to the authors own native languages, the ancestry of the English language and the Latin alphabet are of the primary interest. The Indo-European Tree traces many modern languages back to the Proto-Indo-European root. Swadesh's cognates played a large role in developing that historical perspective where some of the primary branches are Germanic, Celtic, Italic, and Balto-Slavic. This paper will use data analysis on open books where the simplest singular space is the 3-spider - a union T3 of three rays with their endpoints glued at a point 0 - which can represent these tree spaces for language clustering. These trees are built using a single linkage method for clustering based on distances between samples from languages which use the Latin Script. Taking three languages at a time, the barycenter is determined. Some initial results have found both non-sticky and sticky sample means. If the mean exhibits non-sticky properties, then one language may come from a different ancestor than the other two. If the mean is considered sticky, then the languages may share a common ancestor or all languages may have different ancestry.

研究语言的发展和通信在人类互动中的重要作用，语言研究已经成为定量化任务，其中包括定量比较语言学和词汇统计学，作者关注英语语言和拉丁字母的起源与发展，研究了印欧树追溯到原始印欧语的许多现代语言，通过数据分析使用3-蜘蛛来表示语言聚类，通过聚类的距离来构建树状结构，初步结果发现了非粘性和粘性样本均值，由此判断语言是否来自不同的祖先或共有一个共同祖先。

使用树空间对 Swadesh 列表进行采样以识别相似语言