Development and validation of a novel corpus of 269 verb pictures in Kannada based on an argument structure taxonomy

Pictorial stimuli are crucial in psycholinguistic research and clinical practice. The development of culturally and linguistically appropriate, standardized picture corpora is a tedious and meticulous process. Yet, such readily accessible picture sets are useful for researchers and clinicians alike. The current study introduces a novel set of 269 verb pictures for an Indian language – Kannada. The included verbs were selected from a published database of 100,000 words along with their frequency scores in this language, and were subsequently categorized based on an argument structure taxonomy. Each picture is developed based on an exemplar sentence that depicts a scenario rather than a mere action. Norms are provided for verb name and argument agreement, image agreement, concept familiarity, and visual complexity, along with the orthographic frequency. Correlations between these measures are also described. The complete set of pictures are freely downloadable from https://osf.io/uk2af/?view_only=ecffbd92f48546a484c869b3f0b8ec94 for academic, research, and clinical usage in the future.

IMABASE: A new set of 313 colourised line drawings standardised in French for name agreement, image agreement, conceptual familiarity, age-of-acquisition, and imageability

We provide normative data for a new set of 313 colourised line drawings. The drawings were standardised on name agreement ( N = 60 participants), image agreement ( N = 34), conceptual familiarity ( N = 36), age of acquisition ( N = 35), and imageability ( N = 35). Objective visual complexity measures are given for the pictures, and objective word frequencies are provided for the modal names of the drawings. Reliability measures for the collected norms are very high. There are high levels of agreement between the names given by the participants and the drawings and comparative analyses indicate that the distribution of name agreement scores is very similar in both our own database and the MultiPic database (Duñabeitia et al., 2018). A novel “picture-choice task” used to assess name-image agreement ( N = 30) reveals that the great majority of the IMABASE pictures that are also present in MultiPic are rated as providing better pictorial representations of the corresponding concepts. Finally, most of the correlations are comparable with those reported in other normative studies on colourised drawings. The whole set of pictures is freely available from https://leadserv.u-bourgogne.fr/~lead/imabase/ and the norms are available as Supplementary Material.