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, Germany
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

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