Extracting transparent compounds from Lexibank

Many languages make use of transparent compounding processes in order to express certain words in their lexicon. With time, these processes can loose their transparency, making them hard to detect automatically. With large data collections simple tests can be designed to detect transparent compounds and investigate their distribution. This study illustrates how a very rudimentary analysis of cross-linguistically recurring transparent compound patterns can be applied to Lexibank data with a few lines of Python code.

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Publication Details

Journal
Universitätsbibliothek Passau
Published
2025-05-26
DOI
https://doi.org/10.15475/calcip.2025.1.5
Primary Topic
Authorship Attribution and Profiling
Type
article
Field-Weighted Citation Impact
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article

Extracting transparent compounds from Lexibank

Universitätsbibliothek Passau
Authorship Attribution and Profiling
article

Extracting transparent compounds from Lexibank

article en

Abstract

Many languages make use of transparent compounding processes in order to express certain words in their lexicon. With time, these processes can loose their transparency, making them hard to detect automatically. With large data collections simple tests can be designed to detect transparent compounds and investigate their distribution. This study illustrates how a very rudimentary analysis of cross-linguistically recurring transparent compound patterns can be applied to Lexibank data with a few lines of Python code.

Universitätsbibliothek Passau
University of Passau (DE)
Openalex Percentile: Top 78%
Authorship Attribution and Profiling
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Extracting transparent compounds from Lexibank · Universitätsbibliothek Passau (2025) | TGRS Research Map | TGRS