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The Multilingual Picture Database.

Jon Andoni Duñabeitia1,2, Ana Baciero3, Kyriakos Antoniou4,5

  • 1Centro de Investigación Nebrija en Cognición (CINC), Universidad Nebrija, Madrid, Spain.

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|July 21, 2022
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Summary
This summary is machine-generated.

Researchers developed the Multilingual Picture (Multipic) database, offering object naming norms and familiarity scores for 500 images across 32 languages. This resource supports global psycholinguistics research.

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Area of Science:

  • Psycholinguistics
  • Cognitive Science
  • Linguistics

Background:

  • Psycholinguistics requires diverse, multilingual tools for research beyond English.
  • Existing picture naming norm databases are limited in scope and language coverage.
  • Multilingualism research necessitates expanded resources for cross-linguistic studies.

Purpose of the Study:

  • To introduce the Multilingual Picture (Multipic) database.
  • To provide naming norms and familiarity scores for 500 colored pictures.
  • To support psycholinguistic research across a wide range of languages.

Main Methods:

  • Collected naming norms and familiarity scores for 500 colored pictures.
  • Included data from 32 languages/language varieties worldwide.
  • Validated data using established psycholinguistic methods.

Main Results:

  • The Multipic database contains naming norms and familiarity scores for 500 items.
  • Data spans 32 languages, offering unprecedented linguistic diversity.
  • Includes translation equivalents for enhanced cross-linguistic analysis.

Conclusions:

  • The Multipic database is a valuable, freely available resource for psycholinguistics.
  • It addresses the need for multilingual tools in the field.
  • Facilitates research on object naming and conceptual representation across languages.