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A Workbench for Corpus Linguistic Discourse Analysis

Authors Julia Krasselt , Matthias Fluor , Klaus Rothenhäusler , Philipp Dreesen

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Author Details

Julia Krasselt
  • Zurich University of Applied Sciences, Switzerland
Matthias Fluor
  • Zurich University of Applied Sciences, Switzerland
Klaus Rothenhäusler
  • Zurich University of Applied Sciences, Switzerland
Philipp Dreesen
  • Zurich University of Applied Sciences, Switzerland

Funding

This work was supported by internal funding of the Zurich University of Applied Sciences.

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Julia Krasselt, Matthias Fluor, Klaus Rothenhäusler, and Philipp Dreesen. A Workbench for Corpus Linguistic Discourse Analysis. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Open Access Series in Informatics (OASIcs), Volume 93, pp. 26:1-26:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021) https://doi.org/10.4230/OASIcs.LDK.2021.26

Abstract

In this paper, we introduce the Swiss-AL workbench, an online tool for corpus linguistic discourse analysis. The workbench enables the analysis of Swiss-AL, a multilingual Swiss web corpus with sources from media, politics, industry, science, and civil society. The workbench differs from other corpus analysis tools in three characteristics: (1) easy access and tidy interface, (2) focus on visualizations, and (3) wide range of analysis options, ranging from classic corpus linguistic analysis (e.g., collocation analysis) to more recent NLP approaches (topic modeling and word embeddings). It is designed for researchers of various disciplines, practitioners, and students.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Language resources
  • Computing methodologies → Discourse, dialogue and pragmatics
Keywords
  • corpus analysis software
  • discourse analysis
  • data visualization

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Supplementary Materials

References

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