Interpretation of Logical Words in Mandarin-Speaking Children with Autism Spectrum Disorders: Uncovering Knowledge of Semantics and Pragmatics.

J Autism Dev Disord

Institute for Applied Linguistics, School of Foreign Languages, Central South University, Changsha, 410083, Hunan, China,

Published: July 2015

This study investigated the interpretation of the logical words 'some' and 'every…or…' in 4-15-year-old high-functioning Mandarin-speaking children with autism spectrum disorders (ASD). Children with ASD performed similarly to typical controls in demonstrating semantic knowledge of simple sentences with 'some', and they had delayed knowledge of the complex sentences with 'every…or…'. Interestingly, the children with ASD had pragmatic knowledge of the scalar implicatures of these logical words, parallel to those of the typical controls. Taken together, the interpretation of logical words may be a relative strength in children with ASD. It is possible that some aspects of semantics and pragmatics may be selectively spared in ASD, due to the contribution the language faculty makes to language acquisition in the ASD population.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10803-014-2350-0DOI Listing

Publication Analysis

Top Keywords

interpretation logical
12
children asd
12
mandarin-speaking children
8
children autism
8
autism spectrum
8
spectrum disorders
8
semantics pragmatics
8
typical controls
8
asd
6
children
5

Similar Publications

Relationship between the learning gains and learning style preferences among students from the school of medicine and health sciences.

BMC Med Educ

January 2025

Laboratorio de Inmunofarmacología, Instituto Nacional de Enfermedades Respiratorias, Calzada de Tlalpan 4502, Colonia Sección XVI, CP 14080, Mexico, México.

Background: The field of health sciences is constantly evolving, presenting significant challenges to student learning performance. Therefore, it is crucial to identify the factors influencing students' learning style preferences, as these relate to how they acquire, understand, interpret, organize, and process information from their courses. In this study, we evaluated whether there is a relationship between students' learning style preferences and their learning gains.

View Article and Find Full Text PDF

The application of artificial neural networks (ANNs) can be found in numerous fields, including image and speech recognition, natural language processing, and autonomous vehicles. As well, intrusion detection, the subject of this paper, relies heavily on it. Different intrusion detection models have been constructed using ANNs.

View Article and Find Full Text PDF

Automated Vehicles (AVs) are on the cusp of commercialization, prompting global governments to organize the forthcoming mobility phase. However, the advancement of technology alone cannot guarantee the successful commercialization of AVs without insights into the accidents on the read roads where Human-driven Vehicles (HV) coexist. To address such an issue, The New Car Assessment Program (NCAP) is currently in progress, and scenario-based approaches have been spotlighted.

View Article and Find Full Text PDF

Harsh operating conditions imposed by vehicular applications significantly limit the utilization of proton exchange membrane fuel cells (PEMFCs) in electric propulsion systems. Improper/poor management and supervision of rapidly varying current demands can lead to undesired electrochemical reactions and critical cell failures. Among other failures, flooding and catalytic degradation are failure mechanisms that directly impact the composition of the membrane electrode assembly and can cause irreversible cell performance deterioration.

View Article and Find Full Text PDF

Cryo-SIMPLY: A Reliable STT-MRAM-Based Smart Material Implication Architecture for In-Memory Computing.

Nanomaterials (Basel)

December 2024

Department of Computer Engineering, Modeling, Electronics, and Systems Engineering, University of Calabria, 87036 Rende, Italy.

This paper presents Cryo-SIMPLY, a reliable smart material implication (SIMPLY) operating at cryogenic conditions (77 K). The assessment considers SIMPLY schemes based on spin-transfer torque magnetic random access memory (STT-MRAM) technology with single-barrier magnetic tunnel junction (SMTJ) and double-barrier magnetic tunnel junction (DMTJ). Our study relies on a temperature-aware macrospin-based Verilog-A compact model for MTJ devices and a 65 nm commercial process design kit (PDK) calibrated down to 77 K under silicon measurements.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!