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^*

^*Tämän työn vastaava kirjoittaja

Neurotieteen ja lääketieteellisen tekniikan laitos

Tutkimustuotos: Lehtiartikkeli › Data Article › Scientific › vertaisarvioitu

10 Sitaatiot (Scopus)

43 Lataukset (Pure)

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
Sivut	1-6
Sivumäärä	6
Julkaisu	Scientific Data
Vuosikerta	9
Numero	1
DOI - pysyväislinkit	https://doi.org/10.1038/s41597-022-01552-7
Tila	Julkaistu - 21 heinäk. 2022
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Pääsy asiakirjaan

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

The Multilingual Picture DatabaseFinal published version, 1,08 MBLisenssi: CC BY

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

Combine and compute: Laskennallisen mallintamisen yhdistäminen toiminnalliseen aivokuvantamiseen: Uutta pontta aivosairauksien diagnostiikkaan
Renvall, H. (Vastuullinen tutkija)
01/09/2019 → 31/08/2023
Projekti: Academy of Finland: Other research funding

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), 1-6. Artikkeli 431. https://doi.org/10.1038/s41597-022-01552-7

@article{0b64cb7674724a16af211e390f36e700,

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.",

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 = "Funding Information: This research has been partially funded by the following grants: RED2018-102615-T and PID2021-126884NB-I00 from the Spanish Government and H2019/HUM-5705 from the Comunidad de Madrid granted to JAD; an Australian Research Council grant awarded to MA (DP190103067); a Ramon y Cajal research program awarded to CB (RYC2018-026174-I); an Israel Science Foundation grant awarded to MBS (1083/17); Funding by the Alexander von Humboldt Foundation awarded to JC; a Specifick{\'y} vysoko{\v s}kolsk{\'y} v{\'y}zkum grant awarded to JC and JJ (260555); a Specifick{\'y} vysoko{\v s}kolsk{\'y} v{\'y}zkum grant awarded to MF (260481); a National Research Fund awarded to SYK (NRF-2019R1G1A1100192); University of Helsinki funds awarded to AL; a Horizon 2020 grant awarded to NTY (H2020-MSCA-ITN-2017, 765556); an Academy of Finland grant awarded to HR (321460); an AcqVA Aurora Center of Excellence grant awarded to JR; an National Science Centre Poland grant awarded to ZW (2015/18/E/HS6/00428); a Spanish Government research grant awarded to MS (PGC2018-097970-B-I00); University of Montreal funds awarded to PR, and a Saint Petersburg State University grant awarded to NS (75288744, 121050600033-7); an award by the Cyprus Research and Innovation Foundation to KA (CULTURE/AWARD-YR/0421B/0005). The authors would like to thank the following colleagues for their support with various tasks, including translation of the materials, and data collection, screening, and preprocessing: Yolanda Acedo, Andrea Bal{\'a}zs, Ariane Brucher, Lihi Catz, Candela Dindurra, Ewa Haman, Marie Anna Hamanov{\'a}, M{\'a}t{\'e} Heged{\H u}s, Boyoung Lee, Pantelis Lioumis, Vikt{\'o}ria Balla, Magda {\L}uniewska, Yijin Lin, G{\'a}bor Marics, Khadidja Meftah, Ksenija Mi{\v s}i{\'c}, Marisol Murujosa, Helena Oliveira, Fanni Patay, Edurne Petrirena, Shen Qinfang, Micha{\l} Remiszewski, Rebeca Sanchez, Dana Suri-Barot and Agata Wolna. Publisher Copyright: {\textcopyright} 2022, The Author(s).",

year = "2022",

month = jul,

day = "21",

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

language = "English",

volume = "9",

pages = "1--6",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Research",

number = "1",

}

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, Sivut 1-6. https://doi.org/10.1038/s41597-022-01552-7

TY - JOUR

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

N1 - Funding Information: This research has been partially funded by the following grants: RED2018-102615-T and PID2021-126884NB-I00 from the Spanish Government and H2019/HUM-5705 from the Comunidad de Madrid granted to JAD; an Australian Research Council grant awarded to MA (DP190103067); a Ramon y Cajal research program awarded to CB (RYC2018-026174-I); an Israel Science Foundation grant awarded to MBS (1083/17); Funding by the Alexander von Humboldt Foundation awarded to JC; a Specifický vysokoškolský výzkum grant awarded to JC and JJ (260555); a Specifický vysokoškolský výzkum grant awarded to MF (260481); a National Research Fund awarded to SYK (NRF-2019R1G1A1100192); University of Helsinki funds awarded to AL; a Horizon 2020 grant awarded to NTY (H2020-MSCA-ITN-2017, 765556); an Academy of Finland grant awarded to HR (321460); an AcqVA Aurora Center of Excellence grant awarded to JR; an National Science Centre Poland grant awarded to ZW (2015/18/E/HS6/00428); a Spanish Government research grant awarded to MS (PGC2018-097970-B-I00); University of Montreal funds awarded to PR, and a Saint Petersburg State University grant awarded to NS (75288744, 121050600033-7); an award by the Cyprus Research and Innovation Foundation to KA (CULTURE/AWARD-YR/0421B/0005). The authors would like to thank the following colleagues for their support with various tasks, including translation of the materials, and data collection, screening, and preprocessing: Yolanda Acedo, Andrea Balázs, Ariane Brucher, Lihi Catz, Candela Dindurra, Ewa Haman, Marie Anna Hamanová, Máté Hegedűs, Boyoung Lee, Pantelis Lioumis, Viktória Balla, Magda Łuniewska, Yijin Lin, Gábor Marics, Khadidja Meftah, Ksenija Mišić, Marisol Murujosa, Helena Oliveira, Fanni Patay, Edurne Petrirena, Shen Qinfang, Michał Remiszewski, Rebeca Sanchez, Dana Suri-Barot and Agata Wolna. Publisher Copyright: © 2022, The Author(s).

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.

UR - http://www.scopus.com/inward/record.url?scp=85134625270&partnerID=8YFLogxK

U2 - 10.1038/s41597-022-01552-7

DO - 10.1038/s41597-022-01552-7

M3 - Data Article

AN - SCOPUS:85134625270

SN - 2052-4463

VL - 9

SP - 1

EP - 6

JO - Scientific Data

JF - Scientific Data

IS - 1

M1 - 431

ER -

The Multilingual Picture Database

Abstrakti

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Projektit

Combine and compute: Laskennallisen mallintamisen yhdistäminen toiminnalliseen aivokuvantamiseen: Uutta pontta aivosairauksien diagnostiikkaan

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