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 particula...r value to psycholinguists and other interested researchers. The dataset has been made freely available.
Keywords:
Picture Database, Multilingual data, Name agreement, familiarity
TY - JOUR
AU - Duñabeitia, J.A.
AU - Baciero, A
AU - Antoniou, K.
AU - Antoniou, M.
AU - Ataman, E.
AU - Baus, C
AU - Ben-Shachar, M
AU - CanÇağlar, O
AU - Chromý, J
AU - Comesaña, M
AU - Filip, M
AU - Filipović Đurđević, Dušica
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 - Wulf, S.
AU - Pliatsikas, C.
PY - 2022
UR - http://reff.f.bg.ac.rs/handle/123456789/4523
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.
PB - Springer Nature
T2 - Scientific Data
T1 - The Multilingual Picture Database
SP - 431
VL - 9
DO - 10.1038/s41597-022-01552-7
ER -
@article{
author = "Duñabeitia, J.A. and Baciero, A and Antoniou, K. and Antoniou, M. and Ataman, E. and Baus, C and Ben-Shachar, M and CanÇağlar, O and Chromý, J and Comesaña, M and Filip, M and Filipović Đurđević, Dušica and Dowens, M.G. and Hatzidaki, A and Januška, J. and Jusoh, Z. and Kanj, R. and Kim, S.Y. and Kırkıcı, B. and Leminen, A and Lohndal, T. and Yap, N.T. and Renvall, H. and Rothman, J and Royle, P and Santesteban, M. and Sevilla, Y. and Slioussar, N. and Vaughan-Evans, A and Wodniecka, Z. and Wulf, S. and Pliatsikas, C.",
year = "2022",
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.",
publisher = "Springer Nature",
journal = "Scientific Data",
title = "The Multilingual Picture Database",
pages = "431",
volume = "9",
doi = "10.1038/s41597-022-01552-7"
}
Duñabeitia, J.A., Baciero, A., Antoniou, K., Antoniou, M., Ataman, E., Baus, C., Ben-Shachar, M., CanÇağlar, O., Chromý, J., Comesaña, M., Filip, M., Filipović Đurđević, D., Dowens, M.G., Hatzidaki, A., Januška, J., Jusoh, Z., Kanj, R., Kim, S.Y., Kırkıcı, B., Leminen, A., Lohndal, T., Yap, N.T., Renvall, H., Rothman, J., Royle, P., Santesteban, M., Sevilla, Y., Slioussar, N., Vaughan-Evans, A., Wodniecka, Z., Wulf, S.,& Pliatsikas, C.. (2022). The Multilingual Picture Database. in Scientific Data
Springer Nature., 9, 431.
https://doi.org/10.1038/s41597-022-01552-7
Duñabeitia J, Baciero A, Antoniou K, Antoniou M, Ataman E, Baus C, Ben-Shachar M, CanÇağlar O, Chromý J, Comesaña M, Filip M, Filipović Đurđević D, Dowens M, Hatzidaki A, Januška J, Jusoh Z, Kanj R, Kim S, Kırkıcı B, Leminen A, Lohndal T, Yap N, Renvall H, Rothman J, Royle P, Santesteban M, Sevilla Y, Slioussar N, Vaughan-Evans A, Wodniecka Z, Wulf S, Pliatsikas C. The Multilingual Picture Database. in Scientific Data. 2022;9:431.
doi:10.1038/s41597-022-01552-7 .
Duñabeitia, J.A., Baciero, A, Antoniou, K., Antoniou, M., Ataman, E., Baus, C, Ben-Shachar, M, CanÇağlar, O, Chromý, J, Comesaña, M, Filip, M, Filipović Đurđević, Dušica, Dowens, M.G., Hatzidaki, A, Januška, J., Jusoh, Z., Kanj, R., Kim, S.Y., Kırkıcı, B., Leminen, A, Lohndal, T., Yap, N.T., Renvall, H., Rothman, J, Royle, P, Santesteban, M., Sevilla, Y., Slioussar, N., Vaughan-Evans, A, Wodniecka, Z., Wulf, S., Pliatsikas, C., "The Multilingual Picture Database" in Scientific Data, 9 (2022):431,
https://doi.org/10.1038/s41597-022-01552-7 . .
