The Multilingual Picture Database
Language English Country England, Great Britain Media electronic
Document type Dataset, Journal Article
Grant support
H2019/HUM-5705
Comunidad de Madrid
DP190103067
Department of Education and Training | Australian Research Council (ARC)
1083/17
Israel Science Foundation (ISF)
NRF-2019R1G1A1100192
National Research Foundation of Korea (NRF)
H2020-MSCA-ITN-2017, 765556
EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
321460
Academy of Finland (Suomen Akatemia)
75288744, 121050600033-7
Saint Petersburg State University (St. Petersburg State University)
2015/18/E/HS6/00428
Narodowe Centrum Nauki (National Science Centre)
PubMed
35864133
PubMed Central
PMC9304413
DOI
10.1038/s41597-022-01552-7
PII: 10.1038/s41597-022-01552-7
Knihovny.cz E-resources
- MeSH
- Databases, Factual MeSH
- Language MeSH
- Humans MeSH
- Multilingualism * MeSH
- Psycholinguistics * MeSH
- Recognition, Psychology MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Dataset MeSH
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.
Bournemouth University Poole United Kingdom
C unit Laurea University of Applied Sciences Vantaa Finland
Centro de Investigación Nebrija en Cognición Universidad Nebrija Madrid Spain
Department of Central European Studies Faculty of Arts Charles University Praha Czech Republic
Department of Foreign Language Education Middle East Technical University Ankara Turkey
Department of Linguistics Faculty of Arts Charles University Praha Czech Republic
Department of Neuroscience and Biomedical Engineering Aalto University Espoo Finland
Department of Rehabilitation Sciences Cyprus University of Technology Limassol Cyprus
Hellenic Open University Patras Greece
Institute of Psychology Jagiellonian University Krakow Poland
Research Unit in Human Cognition CIPsi School of Psychology University of Minho Braga Portugal
Saint Petersburg State University Saint Petersburg Russia
School of Education and English University of Nottingham Ningbo China Ningbo China
School of Human and Behavioural Sciences Prifysgol Bangor Bangor Wales UK
School of Linguistics Higher School of Economics Moscow Russia
School of Psychological Sciences and Centre for Reading Macquarie University Sydney Australia
School of Psychology and Clinical Language Sciences University of Reading Reading UK
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