The language of character: Linguistic markers of naturalistically observed virtuous daily behavior

2014 ◽  
Author(s):  
Matthias R. Mehl ◽  
Kathryn Bollich ◽  
John M. Doris ◽  
Simine Vazire
2014 ◽  
Author(s):  
Kathryn L. Bollich ◽  
Simine Vazire ◽  
John M. Doris ◽  
Matthias R. Mehl
Keyword(s):  

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Lin Zhu ◽  
Lihe Huang

Verbal repetition has been acknowledged as one of the most common symptoms in early Dementia of Alzheimer's Type (DAT). Despite previous attempts, the applicability of verbal repetition as an essential linguistic marker indicating this disease remains unexplored for Chinese DAT patients. This study collects Chinese DAT patients' daily conversation data to investigate both structural and functional aspects of pathological verbal repetition. Three major types are set regarding the cases of pathological repetition, respectively ‘unconscious concept repetition', ‘perseveration', and ‘involuntary word repetition'. The analysis focuses on what features these repetitions have from the perspective of ‘ideational function', ‘interpersonal function', and ‘textual function' within the framework of Systemic Functional Linguistics. A better understanding of pathological verbal repetition by DAT elders as the linguistic markers of cognitive impairment promotes effective communication between patients, nursing staff, and family members.


2016 ◽  
Author(s):  
David Barner

Perceptual representations – e.g., of objects or approximate magnitudes –are often invoked as building blocks that children combine with linguisticsymbols when they acquire the positive integers. Systems of numericalperception are either assumed to contain the logical foundations ofarithmetic innately, or to supply the basis for their induction. Here Ipropose an alternative to this general framework, and argue that theintegers are not learned from perceptual systems, but instead arise toexplain perception as part of language acquisition. Drawing oncross-linguistic data and developmental data, I show that small numbers(1-4) and large numbers (~5+) arise both historically and in individualchildren via entirely distinct mechanisms, constituting independentlearning problems, neither of which begins with perceptual building blocks.Specifically, I propose that children begin by learning small numbers(i.e., *one, two, three*) using the same logical resources that supportother linguistic markers of number (e.g., singular, plural). Several yearslater, children discover the logic of counting by inferring the logicalrelations between larger number words from their roles in blind countingprocedures, and only incidentally associate number words with perception ofapproximate magnitudes, in an *ad hoc* and highly malleable fashion.Counting provides a form of explanation for perception but is not causallyderived from perceptual systems.


2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Kaisa Marshall ◽  
Anna Abate ◽  
Amanda Venta
Keyword(s):  

2021 ◽  
Vol 2 (2) ◽  
pp. 1-31
Author(s):  
Esteban A. Ríssola ◽  
David E. Losada ◽  
Fabio Crestani

Mental state assessment by analysing user-generated content is a field that has recently attracted considerable attention. Today, many people are increasingly utilising online social media platforms to share their feelings and moods. This provides a unique opportunity for researchers and health practitioners to proactively identify linguistic markers or patterns that correlate with mental disorders such as depression, schizophrenia or suicide behaviour. This survey describes and reviews the approaches that have been proposed for mental state assessment and identification of disorders using online digital records. The presented studies are organised according to the assessment technology and the feature extraction process conducted. We also present a series of studies which explore different aspects of the language and behaviour of individuals suffering from mental disorders, and discuss various aspects related to the development of experimental frameworks. Furthermore, ethical considerations regarding the treatment of individuals’ data are outlined. The main contributions of this survey are a comprehensive analysis of the proposed approaches for online mental state assessment on social media, a structured categorisation of the methods according to their design principles, lessons learnt over the years and a discussion on possible avenues for future research.


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