Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-23068
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dc.contributor.authorKrasselt, Julia-
dc.contributor.authorFluor, Matthias-
dc.contributor.authorRothenhäusler, Klaus-
dc.contributor.authorDreesen, Philipp-
dc.date.accessioned2021-09-03T13:59:29Z-
dc.date.available2021-09-03T13:59:29Z-
dc.date.issued2021-
dc.identifier.isbn978-3-95977-199-3de_CH
dc.identifier.issn2190-6807de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/23068-
dc.description.abstractIn 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.de_CH
dc.language.isoende_CH
dc.publisherSchloss Dagstuhl – Leibniz-Zentrum für Informatikde_CH
dc.relation.ispartofseriesOpen Access Series in Informatics (OASIcs)de_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectCorpus analysis softwarede_CH
dc.subjectDiscourse analysisde_CH
dc.subjectData visualizationde_CH
dc.subject.ddc401.4: Terminologie, Diskursanalyse, Pragmatikde_CH
dc.subject.ddc410.285: Computerlinguistikde_CH
dc.titleA workbench for corpus linguistic discourse analysisde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementAngewandte Linguistikde_CH
zhaw.organisationalunitInstitute of Language Competence (ILC)de_CH
zhaw.publisher.placeDagstuhlde_CH
dc.identifier.doi10.4230/OASIcs.LDK.2021.26de_CH
dc.identifier.doi10.21256/zhaw-23068-
zhaw.conference.details3rd Conference on Language, Data and Knowledge (LDK 2021), Zaragoza, Spain, 2-3 September 2021de_CH
zhaw.funding.euNode_CH
zhaw.issue26de_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume93de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedings3rd Conference on Language, Data and Knowledge (LDK 2021)de_CH
zhaw.webfeedDigital Linguisticsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen Angewandte Linguistik

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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.


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