This study aims at assessing how bilinguals select words in the appropriate language in production and recognition while minimizing interference from the non-appropriate language. Two prominent models are considered which assume that when one language is in use, the other is suppressed. The Inhibitory Control (IC) model suggests that, in both production and recognition, the amount of inhibition on the non-target language is greater for the stronger compared to the weaker language. In contrast, the Bilingual Interactive Activation (BIA) model proposes that, in language recognition, the amount of inhibition on the weaker language is stronger than otherwise. To investigate whether bilingual language production and recognition can be accounted for by a single model of bilingual processing, we tested a group of native speakers of Dutch (L1), advanced speakers of English (L2) in a bilingual recognition and production task. Specifically, language switching costs were measured while participants performed a lexical decision (recognition) and a picture naming (production) task involving language switching. Results suggest that while in language recognition the amount of inhibition applied to the non-appropriate language increases along with its dominance as predicted by the IC model, in production the amount of inhibition applied to the non-relevant language is not related to language dominance, but rather it may be modulated by speakers' unconscious strategies to foster the weaker language. This difference indicates that bilingual language recognition and production might rely on different processing mechanisms and cannot be accounted within one of the existing models of bilingual language processing.
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http://dx.doi.org/10.3389/fpsyg.2017.00934 | DOI Listing |
J Med Internet Res
January 2025
Department of Psychology, University of Bath, Bath, United Kingdom.
Background: Mental health problems in university students are associated with many negative outcomes, yet there is a gap between need and timely access to help. Single-session interventions (SSIs) are designed to be scalable and accessible, delivering core evidence-based intervention components within a one-off encounter.
Objective: COMET (Common Elements Toolbox) is an online self-help SSI that includes behavioral activation, cognitive restructuring, gratitude, and self-compassion.
J Med Internet Res
January 2025
NORC at the University of Chicago, Chicago, IL, United States.
Background: Poor health outcomes are well documented among patients with a non-English language preference (NELP). The use of interpreters can improve the quality of care for patients with NELP. Despite a growing and unmet need for interpretation services in the US health care system, rates of interpreter use in the care setting are consistently low.
View Article and Find Full Text PDFJ Autism Dev Disord
January 2025
Department of Linguistics and Basque Studies, Universidad del País Vasco (UPV/EHU), Paseo de la Universidad 5, Vitoria-Gasteiz, 01006, Spain.
This study aimed to examine early mathematical abilities in young children with autism aged four to seven without intellectual disabilities and their connection with autism severity, non-verbal intelligence, and linguistic abilities (receptive vocabulary and grammar). The study involved 42 children with autism. We assessed participants' cognitive, mathematical, and linguistic abilities.
View Article and Find Full Text PDFPsychiatr Q
January 2025
Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, 86 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Korea.
We conducted a descriptive-analytical cross-sectional study using an online survey to explore the personality traits of volunteers in Lebanon and examine their relationship with work engagement, psychological status, resilience, and public service motivation. A total of 270 volunteers were recruited through social media platforms. The survey included general questions about volunteering, Utrecht Work Engagement Scale-9 items (UWES-9), the Big Five Personality Inventory-10 (BFPI-10), the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder-7 (GAD-7), the Public Service Motivation (PSM), and the Connor-Davidson Resilience Scale-2 (CD-RISC2).
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
The soil quality of forest land is directly related to the growth of forest trees and the local ecological environment. This paper proposes an intuitionistic fuzzy linguistic aggregation method for heterogeneous linguistic assessment information, to solve the multi-index assessment problem containing heterogeneous linguistic information. Based on this method, the soil quality of forest land can be evaluated reasonably.
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