The Multilingual Picture Database

Jon Andoni Duñabeitia; Ana Baciero; Kyriakos Antoniou; Mark Antoniou; Esra Ataman; Cristina Baus; Michal Ben-Shachar; Ozan Can Çağlar; Jan Chromý; Montserrat Comesaña; Maroš Filip; Dušica Filipović Đurđević; Margaret Gillon Dowens; Anna Hatzidaki; Jiří Januška; Zuraini Jusoh; Rama Kanj; Say Young Kim; Bilal Kırkıcı; Alina Leminen; Terje Lohndal; Ngee Thai Yap; Hanna Renvall; Jason Rothman; Phaedra Royle; Mikel Santesteban; Yamila Sevilla; Natalia Slioussar; Awel Vaughan-Evans; Zofia Wodniecka; Stefanie Wulff; Christos Pliatsikas

doi:10.1038/s41597-022-01552-7

The Multilingual Picture Database

Jon Andoni Duñabeitia, Ana Baciero, Kyriakos Antoniou, Mark Antoniou, Esra Ataman, Cristina Baus, Michal Ben-Shachar, Ozan Can Çağlar, Jan Chromý, Montserrat Comesaña, Maroš Filip, Dušica Filipović Đurđević, Margaret Gillon Dowens, Anna Hatzidaki, Jiří Januška, Zuraini Jusoh, Rama Kanj, Say Young Kim, Bilal Kırkıcı, Alina LeminenTerje Lohndal, Ngee Thai Yap, Hanna Renvall, Jason Rothman, Phaedra Royle, Mikel Santesteban, Yamila Sevilla, Natalia Slioussar, Awel Vaughan-Evans, Zofia Wodniecka, Stefanie Wulff, Christos Pliatsikas

Tutkimustuotos: Artikkelijulkaisu › Artikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

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.

Alkuperäiskieli	englanti
Artikkeli	431
Lehti	Scientific data
Vuosikerta	9
Numero	1
Sivumäärä	6
ISSN	2052-4463
DOI - pysyväislinkit	https://doi.org/10.1038/s41597-022-01552-7
Tila	Julkaistu - 21 heinäk. 2022
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu

Lisätietoja

Publisher Copyright:
© 2022, The Author(s).

Tieteenalat

6121 Kielitieteet
6162 Kognitiotiede

Pääsy asiakirjaan

10.1038/s41597-022-01552-7Lisenssi: CC BY

s41597-022-01552-7Lopullinen julkaistu versio, 1,08 MBLisenssi: CC BY

Siteeraa tätä

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., ... Pliatsikas, C. (2022). The Multilingual Picture Database. Scientific data , 9(1), Artikkeli 431. https://doi.org/10.1038/s41597-022-01552-7

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title = "The Multilingual Picture Database",

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.",

keywords = "6121 Languages, 6162 Cognitive science, STANDARDIZED SET, IMAGE AGREEMENT, NAME AGREEMENT, VISUAL COMPLEXITY, NORMS, FAMILIARITY, AGE, ACQUISITION, SNODGRASS, LANGUAGE",

author = "Du{\~n}abeitia, {Jon Andoni} and Ana Baciero and Kyriakos Antoniou and Mark Antoniou and Esra Ataman and Cristina Baus and Michal Ben-Shachar and {\c C}ağlar, {Ozan Can} and Jan Chrom{\'y} and Montserrat Comesa{\~n}a and Maro{\v s} Filip and {\D}ur{\d}evi{\'c}, {Du{\v s}ica Filipovi{\'c}} and Dowens, {Margaret Gillon} and Anna Hatzidaki and Ji{\v r}{\'i} Janu{\v s}ka and Zuraini Jusoh and Rama Kanj and Kim, {Say Young} and Bilal Kırkıcı and Alina Leminen and Terje Lohndal and Yap, {Ngee Thai} and Hanna Renvall and Jason Rothman and Phaedra Royle and Mikel Santesteban and Yamila Sevilla and Natalia Slioussar and Awel Vaughan-Evans and Zofia Wodniecka and Stefanie Wulff and Christos Pliatsikas",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).",

year = "2022",

month = jul,

day = "21",

doi = "10.1038/s41597-022-01552-7",

language = "English",

volume = "9",

journal = "Scientific data ",

issn = "2052-4463",

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Duñabeitia, JA, Baciero, A, Antoniou, K, Antoniou, M, Ataman, E, Baus, C, Ben-Shachar, M, Çağlar, OC, Chromý, J, Comesaña, M, Filip, M, Đurđević, DF, Dowens, MG, Hatzidaki, A, Januška, J, Jusoh, Z, Kanj, R, Kim, SY, Kırkıcı, B, Leminen, A, Lohndal, T, Yap, NT, 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 , Vuosikerta 9, Nro 1, 431. https://doi.org/10.1038/s41597-022-01552-7

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T1 - The Multilingual Picture Database

AU - Duñabeitia, Jon Andoni

AU - Baciero, Ana

AU - Antoniou, Kyriakos

AU - Antoniou, Mark

AU - Ataman, Esra

AU - Baus, Cristina

AU - Ben-Shachar, Michal

AU - Çağlar, Ozan Can

AU - Chromý, Jan

AU - Comesaña, Montserrat

AU - Filip, Maroš

AU - Đurđević, Dušica Filipović

AU - Dowens, Margaret Gillon

AU - Hatzidaki, Anna

AU - Januška, Jiří

AU - Jusoh, Zuraini

AU - Kanj, Rama

AU - Kim, Say Young

AU - Kırkıcı, Bilal

AU - Leminen, Alina

AU - Lohndal, Terje

AU - Yap, Ngee Thai

AU - Renvall, Hanna

AU - Rothman, Jason

AU - Royle, Phaedra

AU - Santesteban, Mikel

AU - Sevilla, Yamila

AU - Slioussar, Natalia

AU - Vaughan-Evans, Awel

AU - Wodniecka, Zofia

AU - Wulff, Stefanie

AU - Pliatsikas, Christos

PY - 2022/7/21

Y1 - 2022/7/21

N2 - 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.

AB - 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.

KW - 6121 Languages

KW - 6162 Cognitive science

KW - STANDARDIZED SET

KW - IMAGE AGREEMENT

KW - NAME AGREEMENT

KW - VISUAL COMPLEXITY

KW - NORMS

KW - FAMILIARITY

KW - AGE

KW - ACQUISITION

KW - SNODGRASS

KW - LANGUAGE

U2 - 10.1038/s41597-022-01552-7

DO - 10.1038/s41597-022-01552-7

M3 - Article

AN - SCOPUS:85134625270

SN - 2052-4463

VL - 9

JO - Scientific data

JF - Scientific data

IS - 1

M1 - 431

ER -