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          <dc:title>A Workbench for Corpus Linguistic Discourse Analysis</dc:title>
          <dc:creator>Krasselt, Julia</dc:creator>
          <dc:creator>Fluor, Matthias</dc:creator>
          <dc:creator>Rothenhäusler, Klaus</dc:creator>
          <dc:creator>Dreesen, Philipp</dc:creator>
          <dc:subject>corpus analysis software</dc:subject>
          <dc:subject>discourse analysis</dc:subject>
          <dc:subject>data visualization</dc:subject>
          <dc:description>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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Julia Krasselt and Matthias Fluor and Klaus Rothenhäusler and Philipp Dreesen</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 93, 3rd Conference on Language, Data and Knowledge (LDK 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
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