Polish norms for a set of colored drawings of 168 objects and 146 actions with predictors of naming performance

Wolna, Agata; Łuniewska, Magdalena; Haman, Ewa; Wodniecka, Zofia

doi:10.3758/s13428-022-01923-3

Cited by 8 publications

(6 citation statements)

References 120 publications

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“…In line with previous reports (Alario & Ferrand, 1999;Pompéia et al, 2001;Pind et al, 2000;Sanfeliu & Fernandez, 1996;Snodgrass & Vanderwart, 1980;Wolna et al, 2022), and as expected, we found negative correlations between the H-statistic and the percentage name agreement in the noun corpus. The nouns showed significant correlations between the psycholinguistic variables, except for image agreement which did not show any significant correlation with the remaining variables.…”

Section: Correlations Between Variables (Nouns)supporting

confidence: 93%

Naming in a multilingual context: Norms for the ICMR-Manipal colour picture corpus in Kannada from the Indian context

Shenoy,

Nickels,

Krishnan

2024

Behav Res

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There have been many published picture corpora. However, more than half of the world’s population speaks more than one language and, as language and culture are intertwined, some of the items from a picture corpus designed for a given language in a particular culture may not fit another culture (with the same or different language). There is also an awareness that language research can gain from the study of bi-/multilingual individuals who are immersed in multilingual contexts that foster inter-language interactions. Consequently, we developed a relatively large corpus of pictures (663 nouns, 96 verbs) and collected normative data from multilingual speakers of Kannada (a southern Indian language) on two picture-related measures (name agreement, image agreement) and three word-related measures (familiarity, subjective frequency, age of acquisition), and report objective visual complexity and syllable count of the words. Naming labels were classified into words from the target language (i.e., Kannada), cognates (borrowed from/shared with another language), translation equivalents, and elaborations. The picture corpus had > 85% mean concept agreement with multiple acceptable names (1–7 naming labels) for each concept. The mean percentage name agreement for the modal name was > 70%, with H-statistics of 0.89 for nouns and 0.52 for verbs. We also analyse the variability of responses highlighting the influence of bi-/multilingualism on (picture) naming. The picture corpus is freely accessible to researchers and clinicians. It may be used for future standardization with other languages of similar cultural contexts, and relevant items can be used in languages from different cultures, following suitable standardization.

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Section: Correlations Between Variables (Nouns)supporting

confidence: 93%

Naming in a multilingual context: Norms for the ICMR-Manipal colour picture corpus in Kannada from the Indian context

Shenoy,

Nickels,

Krishnan

2024

Behav Res

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“…The lack of results may be explained by the generally noisy and challenging environment because data were collected during scanning. It is also important to note that even though participants were instructed to name pictures as quickly as possible, overall naming speed (1072ms for L1 after L1 and 1075ms for L1 after L2) was slower than what is usually observed for L1 naming for this particular dataset (897ms; Wolna et al, 2022). The general slow-down of naming in L1 may have obscured the behavioral effect, which usually is quite small (~50ms).…”

Section: Behavioral Resultsmentioning

confidence: 78%

“…In the second block of each session, participants were asked to name pictures in L1. Each block contained 55 colored pictures representing objects (from the CLT database: Haman et al, 2015; Wolna et al, 2022). Pictures were not repeated between blocks.…”

Section: Methodsmentioning

confidence: 99%

Tracking components of bilingual language control in speech production: an fMRI study using functional localizers

Wolna

Szewczyk

Diaz

et al. 2023

Preprint

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When bilingual speakers switch back to speaking in their native language (L1) after having used their second language (L2), they often experience difficulty in retrieving words in their L1: this phenomenon is referred to as the L2 after-effect. We used the L2 after-effect as a lens to explore the neural bases of bilingual language control mechanisms. Our goal was twofold: first, to explore whether bilingual language control draws on domain-general or language-specific mechanisms; second, to investigate the precise mechanism(s) that drive the L2 after-effect. We used a precision fMRI approach based on functional localizers to measure the extent to which the brain activity that reflects the L2 after-effect overlaps with the language network (Fedorenko et al., 2010) and the domain-general Multiple Demand network (Duncan et al., 2010), as well as three task-specific networks that tap into interference resolution, lexical retrieval, and articulation. Forty-two Polish-English bilinguals participated in the study. Our results show that the L2 after-effect reflects increased engagement of domain-general but not language-specific resources. Furthermore, contrary to previously proposed interpretations, we did not find evidence that the effect reflects increased difficulty related to lexical access, articulation, and the resolution of lexical interference. We propose that difficulty in speech production - manifested as the L2 after-effect - reflects interference at a non-linguistic level of task schemas or a general increase of engagement of cognitive control in speech production in L1 after L2.

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“…In each session, participants named one block of pictures corresponded to one functional run. Each block was composed of 55 coloured pictures representing objects (from the CLT database 81 ). Pictures were not repeated between blocks.…”

Section: Methodsmentioning

confidence: 99%

Domain-general and language-specific contributions to speech production in a second language: an fMRI study using functional localizers

Wolna,

Szewczyk,

Diaz

et al. 2024

Sci Rep

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For bilinguals, speaking in a second language (L2) compared to the native language (L1) is usually more difficult. In this study we asked whether the difficulty in L2 production reflects increased demands imposed on domain-general or core language mechanisms. We compared the brain response to speech production in L1 and L2 within two functionally-defined networks in the brain: the Multiple Demand (MD) network and the language network. We found that speech production in L2 was linked to a widespread increase of brain activity in the domain-general MD network. The language network did not show a similarly robust differences in processing speech in the two languages, however, we found increased response to L2 production in the language-specific portion of the left inferior frontal gyrus (IFG). To further explore our results, we have looked at domain-general and language-specific response within the brain structures postulated to form a Bilingual Language Control (BLC) network. Within this network, we found a robust increase in response to L2 in the domain-general, but also in some language-specific voxels including in the left IFG. Our findings show that L2 production strongly engages domain-general mechanisms, but only affects language sensitive portions of the left IFG. These results put constraints on the current model of bilingual language control by precisely disentangling the domain-general and language-specific contributions to the difficulty in speech production in L2.

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Polish norms for a set of colored drawings of 168 objects and 146 actions with predictors of naming performance

Cited by 8 publications

References 120 publications

Naming in a multilingual context: Norms for the ICMR-Manipal colour picture corpus in Kannada from the Indian context

Naming in a multilingual context: Norms for the ICMR-Manipal colour picture corpus in Kannada from the Indian context

Tracking components of bilingual language control in speech production: an fMRI study using functional localizers

Domain-general and language-specific contributions to speech production in a second language: an fMRI study using functional localizers

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