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The Multilingual Picture Database
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 pr...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304413/ https://www.ncbi.nlm.nih.gov/pubmed/35864133 http://dx.doi.org/10.1038/s41597-022-01552-7 |
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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 |
author_facet | 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 |
author_sort | Duñabeitia, Jon Andoni |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9304413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93044132022-07-23 The Multilingual Picture Database 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 Sci Data Data Descriptor 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. Nature Publishing Group UK 2022-07-21 /pmc/articles/PMC9304413/ /pubmed/35864133 http://dx.doi.org/10.1038/s41597-022-01552-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor 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 The Multilingual Picture Database |
title | The Multilingual Picture Database |
title_full | The Multilingual Picture Database |
title_fullStr | The Multilingual Picture Database |
title_full_unstemmed | The Multilingual Picture Database |
title_short | The Multilingual Picture Database |
title_sort | multilingual picture database |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304413/ https://www.ncbi.nlm.nih.gov/pubmed/35864133 http://dx.doi.org/10.1038/s41597-022-01552-7 |
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