  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.
