LinguaPix database: A megastudy of picture-naming norms


Krautz, Agnieszka Ewa ; Keuleers, Emmanuel


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DOI: https://doi.org/10.3758/s13428-021-01651-0
URL: https://madoc.bib.uni-mannheim.de/59942
Additional URL: https://link.springer.com/article/10.3758%2Fs13428...
URN: urn:nbn:de:bsz:180-madoc-599420
Document Type: Article
Year of publication Online: 2021
The title of a journal, publication series: Behavior Research Methods : BRM
Volume: tba
Issue number: tba
Page range: 1-14
Place of publication: New York, NY
Publishing house: Springer US
ISSN: 1554-351X , 1554-3528
Publication language: English
Institution: School of Humanities > Anglistik I (Seniorprofessur) (Tracy 2019-)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 400 Language, linguistics
Abstract: The major aim of the present megastudy of picture naming norms was to address the shortcomings of the available picture datasets used in psychological and linguistic research by creating a new database of normed colour images that researchers from around the world can rely upon in their investigations. In order to do this, we employed a new form of normative study, namely a megastudy, whereby 1,620 colour photographs of items spanning across 42 semantic categories were named and rated by a group of German speakers. This was done to establish the following linguistic norms: speech onset times (SOT), name agreement, accuracy, familiarity, visual complexity, valence, and arousal. The data, including over 64,000 audio files, were used to create the LinguaPix database of pictures, audio recordings, and linguistic norms, which to our knowledge, is the largest available research tool of its kind (http://linguapix.uni-mannheim.de). In this paper, we present the tool and the analysis of the major variables.
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