Visualisierung sprachlicher Daten
Zitierempfehlung (Kapitel)

Hoenen, Armin: Recurrence Analysis Function, a Dynamic Heatmap for the Visualization of Verse Text and Beyond, in: Bubenhofer, Noah und Kupietz, Marc (Hrsg.): Visualisierung sprachlicher Daten: Visual Linguistics – Praxis – Tools, Heidelberg: Heidelberg University Publishing, 2018. https://doi.org/10.17885/heiup.345.c4400

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Dieses Werk ist unter der
Creative Commons-Lizenz 4.0
(CC BY-SA 4.0)
veröffentlicht.
Creative Commons Lizenz BY-SA 4.0

Identifikatoren (Buch)
ISBN 978-3-946054-75-7 (PDF)
ISBN 978-3-946054-77-1 (Hardcover)
ISBN 978-3-947732-15-9 (Softcover)

Veröffentlicht am 12.04.2018.


Armin Hoenen

Recurrence Analysis Function, a Dynamic Heatmap for the Visualization of Verse Text and Beyond

Abstract The Recurrence Analysis Function (ReAF) is a cross-linguistic visualization tool for (historical) verse text, especially handwritten epics. It can also provide a general visualization of various aspects of prose text. It aims to enable intuitive understanding through explorative data analysis of historical, especially bardicral texts.1 The assumption behind this is that bardic/born-oral and non-bardic/born-written texts differ drastically in the way they employ repetition. The ReAF in its first implementation, as presented here, is a language-independent tool that permits the visual exploration of such structures. Firstly, general aspects and formal characteristics of oral verse text are characterized, before the main technical details and some additional applications of the ReAF are explained and illustrated.