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Department of Computational Linguistics Digital Linguistics

Text und Bild in Leichter Sprache (en: "Text and Images in Easy-to-Read Language")

Scientific abstract

The SNSF-funded project Text und Bild in Leichter Sprache (Text and Images in Easy-to-read Language) aims to investigate if, and to which extent images facilitates reading comprehension of easy-to-read language. 

  1. Illustration: Do images support the comprehension of L2 texts?
  2. Congruence: Can a difference be identified between a congruent and a divergent text-image relationship?
  3. Text-Image Relationship: Do images that depict content at the supra-lexical level support comprehension differently compared to images that refer to the lexical level?
  4. Placement: Does the placement of images below vs. to the right of the text play a role in the reading process and text comprehension?

 

Researchers and Project Details

Project duration: 01.01.2025 – 31.12.2028

Principal investigators:
Dr. Simone Girard-Groeber, Institut Integration und Partizipation Hochschule für Soziale Arbeit, Fachhochschule Nordwestschweiz

Dr. phil. Claire Reymond, Institut Visuelle Kommunikation Hochschule für Gestaltung und Kunst, Fachhochschule Nordwestschweiz, Switzerland

Project partners:
Prof. Dr. Lena A. Jäger, Department of Computational Linguistics, University of Zurich

Prof. Dr. Anne Parpan-Blaser, Institut Integration und Partizipation, Hochschule für Soziale Arbeit Fachhochschule Nordwestschweiz

PhD students:
Thyra Krosness, Department of Computational Linguistics, University of Zurich

The project is funded by SNSF, (grant no 10002551)Text und Bild in Leichter Sprache