Kompetenzstufe: Fortgeschrittene*r
Sprache: Englisch
Format: Code, Tutorial, Selbstlerneinheit
Medientyp: Code Snippets, Textmedien, Daten
Veröffentlichung: 28.11.2025
ID: 
® 10.71627/topling
TopLing
Nadezhda (Nadja) Ozornina
, Yannik Peters, Mario Haim
Mitwirkende: This tool was developed as part of the KODAQS project - a partnership between GESIS and the University of Mannheim and LMU Munich.
The TopLing tool enables researchers to evaluate the quality of machine translation as a consolidation strategy for multilingual topic modeling in R. It provides a framework to assess how translation decisions affect downstream topic modeling, identify topics distorted by translation artifacts, and apply dedicated metrics to evaluate translation suitability. By making translation-induced inconsistencies visible, TopLing helps mitigate potential measurement errors during preprocessing and analysis. As a hands-on example, the accompanying tutorial demonstrates its use on a German-language United Nations corpus (Eisele and Chen, 2010).
Diese Ressource steht unter folgender Lizenz:
Creative Commons Attribution NonCommercial 4.0 International (CC-BY-NC-4.0)