The Multilingual Picture Database

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Duñabeitia , J A , Baciero , A , Antoniou , K , Antoniou , M , Ataman , E , Baus , C , Ben-Shachar , M , Çağlar , O C , Chromý , J , Comesaña , M , Filip , M , Đurđević , D F , Dowens , M G , Hatzidaki , A , Januška , J , Jusoh , Z , Kanj , R , Kim , S Y , Kırkıcı , B , Leminen , A , Lohndal , T , Yap , N T , Renvall , H , Rothman , J , Royle , P , Santesteban , M , Sevilla , Y , Slioussar , N , Vaughan-Evans , A , Wodniecka , Z , Wulff , S & Pliatsikas , C 2022 , ' The Multilingual Picture Database ' , Scientific data , vol. 9 , no. 1 , 431 . https://doi.org/10.1038/s41597-022-01552-7

Title: The Multilingual Picture Database
Author: Duñabeitia, Jon Andoni; Baciero, Ana; Antoniou, Kyriakos; Antoniou, Mark; Ataman, Esra; Baus, Cristina; Ben-Shachar, Michal; Çağlar, Ozan Can; Chromý, Jan; Comesaña, Montserrat; Filip, Maroš; Đurđević, Dušica Filipović; Dowens, Margaret Gillon; Hatzidaki, Anna; Januška, Jiří; Jusoh, Zuraini; Kanj, Rama; Kim, Say Young; Kırkıcı, Bilal; Leminen, Alina; Lohndal, Terje; Yap, Ngee Thai; Renvall, Hanna; Rothman, Jason; Royle, Phaedra; Santesteban, Mikel; Sevilla, Yamila; Slioussar, Natalia; Vaughan-Evans, Awel; Wodniecka, Zofia; Wulff, Stefanie; Pliatsikas, Christos
Contributor organization: Cognitive Brain Research Unit
Medicum
Faculty Common Matters (Faculty of Arts)
Cognitive Science
Mind and Matter
Language Acquisition, Representation, and Processing (L.A.R.P.)
Helsinki University Hospital Area
HUS Medical Imaging Center
HUS Neurocenter
Date: 2022-07-21
Language: eng
Number of pages: 6
Belongs to series: Scientific data
ISSN: 2052-4463
DOI: https://doi.org/10.1038/s41597-022-01552-7
URI: http://hdl.handle.net/10138/346699
Abstract: The growing interdisciplinary research field of psycholinguistics is in constant need of new and up-to-date tools which will allow researchers to answer complex questions, but also expand on languages other than English, which dominates the field. One type of such tools are picture datasets which provide naming norms for everyday objects. However, existing databases tend to be small in terms of the number of items they include, and have also been normed in a limited number of languages, despite the recent boom in multilingualism research. In this paper we present the Multilingual Picture (Multipic) database, containing naming norms and familiarity scores for 500 coloured pictures, in thirty-two languages or language varieties from around the world. The data was validated with standard methods that have been used for existing picture datasets. This is the first dataset to provide naming norms, and translation equivalents, for such a variety of languages; as such, it will be of particular value to psycholinguists and other interested researchers. The dataset has been made freely available.
Description: Publisher Copyright: © 2022, The Author(s).
Subject: 6121 Languages
6162 Cognitive science
STANDARDIZED SET
IMAGE AGREEMENT
NAME AGREEMENT
VISUAL COMPLEXITY
NORMS
FAMILIARITY
AGE
ACQUISITION
SNODGRASS
LANGUAGE
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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