The multilingual picture database

J. A. Duñabeitia; A. Baciero; K. Antoniou; Mark Antoniou; E. Ataman; C. Baus; M. Ben-Shachar; O. C. ÃÂağlar; J. Chromý; M. Comesaña; M. Filip; D. F. Đurđević; M. G. Dowens; A. Hatzidaki; J. Januška; Z. Jusoh; R. Kanj; S. Y. Kim; B. Kırkıcı; A. Leminen; T. Lohndal; N. T. Yap; H. Renvall; J. Rothman; P. Royle; M. Santesteban; Y. Sevilla; N. Slioussar; A. Vaughan-Evans; Z. Wodniecka; S. Wulff; C. Pliatsikas

doi:10.1038/s41597-022-01552-7

The multilingual picture database

J. A. Duñabeitia, A. Baciero, K. Antoniou, Mark Antoniou, E. Ataman, C. Baus, M. Ben-Shachar, O. C. ÃÂağlar, J. Chromý, M. Comesaña, M. Filip, D. F. Đurđević, M. G. Dowens, A. Hatzidaki, J. Januška, Z. Jusoh, R. Kanj, S. Y. Kim, B. Kırkıcı, A. LeminenT. Lohndal, N. T. Yap, H. Renvall, J. Rothman, P. Royle, M. Santesteban, Y. Sevilla, N. Slioussar, A. Vaughan-Evans, Z. Wodniecka, S. Wulff, C. Pliatsikas

Western Sydney University

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	431
Number of pages	6
Journal	Scientific Data
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41597-022-01552-7
Publication status	Published - 2022

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Duñabeitia, J. A., Baciero, A., Antoniou, K., Antoniou, M., Ataman, E., Baus, C., Ben-Shachar, M., ÃÂağlar, 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), Article 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.",

author = "Du{\~n}abeitia, {J. A.} and A. Baciero and K. Antoniou and Mark Antoniou and E. Ataman and C. Baus and M. Ben-Shachar and {\~A}{\^A}ağlar, {O. C.} and J. Chrom{\'y} and M. Comesa{\~n}a and M. Filip and {\D}ur{\d}evi{\'c}, {D. F.} and Dowens, {M. G.} and A. Hatzidaki and J. Janu{\v s}ka and Z. Jusoh and R. Kanj and Kim, {S. Y.} and B. Kırkıcı and A. Leminen and T. Lohndal and Yap, {N. T.} and H. Renvall and J. Rothman and P. Royle and M. Santesteban and Y. Sevilla and N. Slioussar and A. Vaughan-Evans and Z. Wodniecka and S. Wulff and C. Pliatsikas",

year = "2022",

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

language = "English",

volume = "9",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Publishing Group",

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Duñabeitia, JA, Baciero, A, Antoniou, K, Antoniou, M, Ataman, E, Baus, C, Ben-Shachar, M, ÃÂağlar, 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, vol. 9, no. 1, 431. https://doi.org/10.1038/s41597-022-01552-7

TY - JOUR

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AU - Duñabeitia, J. A.

AU - Baciero, A.

AU - Antoniou, K.

AU - Antoniou, Mark

AU - Ataman, E.

AU - Baus, C.

AU - Ben-Shachar, M.

AU - ÃÂağlar, O. C.

AU - Chromý, J.

AU - Comesaña, M.

AU - Filip, M.

AU - Đurđević, D. F.

AU - Dowens, M. G.

AU - Hatzidaki, A.

AU - Januška, J.

AU - Jusoh, Z.

AU - Kanj, R.

AU - Kim, S. Y.

AU - Kırkıcı, B.

AU - Leminen, A.

AU - Lohndal, T.

AU - Yap, N. T.

AU - Renvall, H.

AU - Rothman, J.

AU - Royle, P.

AU - Santesteban, M.

AU - Sevilla, Y.

AU - Slioussar, N.

AU - Vaughan-Evans, A.

AU - Wodniecka, Z.

AU - Wulff, S.

AU - Pliatsikas, C.

PY - 2022

Y1 - 2022

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 - https://hdl.handle.net/1959.7/uws:78437

U2 - 10.1038/s41597-022-01552-7

DO - 10.1038/s41597-022-01552-7

M3 - Article

SN - 2052-4463

VL - 9

JO - Scientific Data

JF - Scientific Data

IS - 1

M1 - 431

ER -

The multilingual picture database

Abstract

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