How to cite this title
Bubenhofer, Noah and Kupietz, Marc (Eds.): Visualisierung sprachlicher Daten: Visual Linguistics – Praxis – Tools, Heidelberg: Heidelberg University Publishing, 2018. DOI: 10.17885/heiup.345.474
More citation stylesChoose citation style
Licenses
This work is licensed under a Creative Commons License 4.0
(CC BY-SA 4.0) .
Identifiers
ISBN 978-3-946054-75-7 (PDF)
ISBN 978-3-946054-77-1 (Hardcover)
Published 04/12/2018 .
Statistics
PDF
HTML
Titelei
Inhalt
Einleitung
I. Visual Linguistics
Visual Linguistics: Plädoyer für ein neues Forschungsfeld
Visualisierung als aufmerksamkeitsleitendes Instrument bei der Analyse sehr großer Korpora
Linguistic Visualizations as "objets d’art"?
Zur Ästhetisierung linguistischer Wissensvermittlung
II. Praxis
Recurrence Analysis Function, a Dynamic Heatmap for the Visualization of Verse Text and Beyond
A Constellation and a Rhizome: Two Studies on Toponyms in Literary Texts
Content-based Analysis and Visualization of Story Complexity
III. Tools
Visualisierung sprachlicher Daten mit R
CorpusExplorer v2.0 – Visualisierung prozessorientiert gestalten
Getting the Story from Big Data: Interaktive visuelle Inhaltsanalyse für die Sozialwissenschaften mit dem TopicExplorer am Beispiel Fukushima
Significance Filters for N-gram Viewer
Visualization as a Key Factor for the Usability of Linguistic Annotation Tools
Book Recommendation
Noah Bubenhofer, Marc Kupietz (Eds.)
Visualisierung sprachlicher Daten
Visual Linguistics – Praxis – Tools
Visualizations play an important role in the scientific research process. They serve to illustrate the knowledge gained, but also as a tool to gain knowledge.
Such visualizations are also important in linguistics. For example in the form of maps, tree graphs and word nets. In corpus linguistics, explorative visualizations are often a way to make the data accessible and interpretable.
The book reflects on the theoretical basics of scientific visualizations in linguistics, shows practical examples and also introduces visualization tools.
----
The research data to the contribution by Wolfer/Hansen-Morath: "Visualisierung sprachlicher Daten mit R" are available under https://doi.org/10.11588/data/6SO6TG.
Noah Bubenhofer is head of the Digital Linguistics team at the Zurich University of Applied Sciences, Winterthur. Previously, he was head of the "Visual Linguistics" project at the University of Zurich. His areas of research are corpus linguistics, discourse linguistics and visualizations in the humanities.
Marc Kupietz is head of the Corpus Linguistics Programme Area at the Institute for the German Language in Mannheim. His research fields are corpus linguistics and empirically grounded linguistics and cognitive science as well as philosophy of science and science management.
Contents
I. Visual Linguistics
Rainer Perkuhn, Marc Kupietz
Visualisierung als aufmerksamkeitsleitendes Instrument bei der Analyse sehr großer Korpora
II. Praxis
Armin Hoenen
Recurrence Analysis Function, a Dynamic Heatmap for the Visualization of Verse Text and Beyond
Lucie Flekova, Florian Stoffel, Iryna Gurevych, Daniel Keim
Content-based Analysis and Visualization of Story Complexity
III. Tools
Alexander Hinneburg, Christian Oberländer
Getting the Story from Big Data: Interaktive visuelle Inhaltsanalyse für die Sozialwissenschaften mit dem TopicExplorer am Beispiel Fukushima