The Multilingual Picture Database

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  • Jon Andoni Duñabeitia
    Centro de Investigación Nebrija en Cognición (CINC), Universidad Nebrija
  • Ana Baciero
    Bournemouth University
  • Kyriakos Antoniou
    Department of Rehabilitation Sciences, Cyprus University of Technology
  • Mark Antoniou
    Western Sydney University
  • Esra Ataman
    Macquarie University, Sydney
  • Cristina Baus
    Universitat de Barcelona
  • Michal Ben-Shachar
    Bar-llan University
  • Ozan Can Çağlar
    Middle East Technical University
  • Bilal Kirkici
    Middle East Technical University
  • Jan Chromý
    Charles University, Prague
  • Montserrat Comesaña
    University of Minho, Braga
  • Maroš Filip
    Charles University, Prague
  • Dušica Filipović Đurđević
    University of Belgrade
  • Margaret Gillon Dowens
    University of Nottingham Ningbo China
  • Anna Hatzidaki
    National and Kapodistrian University of Athens
  • Jiří Januška
    Charles University, Prague
  • Zuraini Jusoh
    Universiti Putra Malaysia
  • Rama Kanj
    University of Reading
  • Say Young Kim
    Hanyang University
  • Alina Leminen
    Laurea University of Applied Sciences
  • Terje Lohndal
    Norwegian University of Science and Technology
  • Ngee Thai Yap
    Universiti Putra Malaysia
  • Hanna Renvall
    University of Helsinki
  • Jason Rothman
    Universidad Nebrija, Madrid
  • Phaedra Royle
    University of Montreal
  • Mikel Santesteban
    University of the Basque Country
  • Yamila Sevilla
    Universidad de Buenos Aires
  • Natalia Slioussar
    Higher School of Economics University
  • Awel Vaughan-Evans
  • Zofia Wodniecka
    Jagiellonian University
  • Stefanie Wulff
    University of Florida, Gainesville
  • Christos Pliatsikas
    University of Reading
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.
Original languageEnglish
Article number431
JournalScientific data
Volume9
Issue number1
DOIs
Publication statusPublished - 21 Jul 2022

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