Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-23068| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | A workbench for corpus linguistic discourse analysis |
| Authors: | Krasselt, Julia Fluor, Matthias Rothenhäusler, Klaus Dreesen, Philipp |
| et. al: | No |
| DOI: | 10.4230/OASIcs.LDK.2021.26 10.21256/zhaw-23068 |
| Proceedings: | 3rd Conference on Language, Data and Knowledge (LDK 2021) |
| Volume(Issue): | 93 |
| Issue: | 26 |
| Conference details: | 3rd Conference on Language, Data and Knowledge (LDK 2021), Zaragoza, Spain, 2-3 September 2021 |
| Issue Date: | 2021 |
| Series: | Open Access Series in Informatics (OASIcs) |
| Publisher / Ed. Institution: | Schloss Dagstuhl – Leibniz-Zentrum für Informatik |
| Publisher / Ed. Institution: | Dagstuhl |
| ISBN: | 978-3-95977-199-3 |
| ISSN: | 2190-6807 |
| Language: | English |
| Subjects: | Corpus analysis software; Discourse analysis; Data visualization |
| Subject (DDC): | 401.4: Terminology, discourse analysis, pragmatics 410.285: Computational linguistics |
| 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/23068 |
| Fulltext version: | Published version |
| License (according to publishing contract): | CC BY 4.0: Attribution 4.0 International |
| Departement: | Applied Linguistics |
| Organisational Unit: | Institute of Language Competence (ILC) |
| Appears in collections: | Publikationen Angewandte Linguistik |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2021_Krasselt_A_workbench_for_corpus_linguistic_discourse_analysis.pdf | 867.99 kB | Adobe PDF |  View/Open |
Show full item record
Krasselt, J., Fluor, M., Rothenhäusler, K., & Dreesen, P. (2021). A workbench for corpus linguistic discourse analysis [Conference paper]. 3rd Conference on Language, Data and Knowledge (LDK 2021), 93(26). https://doi.org/10.4230/OASIcs.LDK.2021.26
Krasselt, J. et al. (2021) ‘A workbench for corpus linguistic discourse analysis’, in 3rd Conference on Language, Data and Knowledge (LDK 2021). Dagstuhl: Schloss Dagstuhl – Leibniz-Zentrum für Informatik. Available at: https://doi.org/10.4230/OASIcs.LDK.2021.26.
J. Krasselt, M. Fluor, K. Rothenhäusler, and P. Dreesen, “A workbench for corpus linguistic discourse analysis,” in 3rd Conference on Language, Data and Knowledge (LDK 2021), 2021, vol. 93, no. 26. doi: 10.4230/OASIcs.LDK.2021.26.
KRASSELT, Julia, Matthias FLUOR, Klaus ROTHENHÄUSLER und Philipp DREESEN, 2021. A workbench for corpus linguistic discourse analysis. In: 3rd Conference on Language, Data and Knowledge (LDK 2021). Conference paper. Dagstuhl: Schloss Dagstuhl – Leibniz-Zentrum für Informatik. 2021. ISBN 978-3-95977-199-3
Krasselt, Julia, Matthias Fluor, Klaus Rothenhäusler, and Philipp Dreesen. 2021. “A Workbench for Corpus Linguistic Discourse Analysis.” Conference paper. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Vol. 93. Dagstuhl: Schloss Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/OASIcs.LDK.2021.26.
Krasselt, Julia, et al. “A Workbench for Corpus Linguistic Discourse Analysis.” 3rd Conference on Language, Data and Knowledge (LDK 2021), vol. 93, no. 26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2021, https://doi.org/10.4230/OASIcs.LDK.2021.26.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.