The past years have seen a drastic rise in studies devoted to the
investigation of colexification patterns in individual languages families in
particular and the languages of the world in specific. Specifically
computational studies have profited from the fact that colexification as a
scientific construct is easy to operationalize, enabling scholars to infer
colexification patterns for large collections of cross-linguistic data. Studies
devoted to partial colexifications -- colexification patterns that do not
involve entire words, but rather various parts of words--, however, have been
rarely conducted so far. This is not surprising, since partial colexifications
are less easy to deal with in computational approaches and may easily suffer
from all kinds of noise resulting from false positive matches. In order to
address this problem, this study proposes new approaches to the handling of
partial colexifications by (1) proposing new models with which partial
colexification patterns can be represented, (2) developing new efficient
methods and workflows which help to infer various types of partial
colexification patterns from multilingual wordlists, and (3) illustrating how
inferred patterns of partial colexifications can be computationally analyzed
and interactively visualized.

本文介绍了一种新的方法，可以有效地处理多语言词汇表中的部分共形式，包括提出了新的分析模型，开发了新的高效方法和工作流，并演示了如何计算分析和交互式可视化共形式的推断结果。