Purpose: Research has shown that accent variation can affect typically developing (TD) children's understanding of language, as well as that of children with speech difficulties, neuro-typical adults and those with aphasia and dementia. This study aims to investigate the effect of regional native accents on sentence comprehension in children with language impairment (LI), an area not previously explored.
Method: Forty-three children with LI (mean age 6.04) and forty-five younger TD children (mean age 4.10), matched on a measure of sentence comprehension, completed a sentence comprehension task spoken in three regional accents. Instructions were spoken in the children's local Irish accent, a neutral-Irish accent and an unfamiliar Northern-Irish (NI) accent. Instructions were adapted from the Token Test and were matched on syllable length and complexity.
Result: The two groups performed similarly overall on the task. Children had significantly greater difficulty understanding instructions spoken in the NI accent than in either of the other two accents. The ability to process accent variation was significantly associated with receptive language and phonological short term memory ability.
Conclusions: Variation in regional accents may be negatively impacting the performance of children on language comprehension assessments. Potential effects on diagnostic or clinical decisions will require further exploration.
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http://dx.doi.org/10.1080/17549507.2017.1293734 | DOI Listing |
Cogn Process
January 2025
Institute of Cognitive Sciences and Technologies (ISTC-CNR), Via Nomentana 56, 00161, Rome, Italy.
Face masks can impact processing a narrative in sign language, affecting several metacognitive dimensions of understanding (i.e., perceived effort, confidence and feeling of understanding).
View Article and Find Full Text PDFSci Rep
January 2025
Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing, 100081, China.
Aspect Category Sentiment Analysis (ACSA) is a fine-grained sentiment analysis task aimed at predicting the sentiment polarity associated with aspect categories within a sentence.Most existing ACSA methods are based on a given aspect category to locate sentiment words related to it. When irrelevant sentiment words have semantic meaning for the given aspect category, it may cause the problem that sentiment words cannot be matched with aspect categories.
View Article and Find Full Text PDFRandomized controlled trials (RCTs) can produce valid estimates of the benefits and harms of therapeutic interventions. However, incomplete reporting can undermine the validity of their conclusions. Reporting guidelines, such as SPIRIT for protocols and CONSORT for results, have been developed to improve transparency in RCT publications.
View Article and Find Full Text PDFBrain Lang
January 2025
School of Psychological and Cognitive Sciences, Peking University, Beijing 100871 China; Beijing Key Laboratory of Behavior and Mental Health and Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871 China. Electronic address:
An ERP experiment was conducted to investigate the common and distinct neurocognitive mechanisms underlying the on-line processing of two types of politeness maxims (self-depreciation and other-elevation) and the individual differences during sentence reading. Electroencephalograms were recorded while participants read sentences containing pragmatically appropriate or inappropriate honorific or humble terms. When collapsing all participants' data, inappropriate humble and honorific terms elicited N400 and P600 effects, respectively, which could reflect semantic processing costs and rechecking processes, respectively.
View Article and Find Full Text PDFConscious Cogn
January 2025
Humane Technology Lab, Catholic University of Sacred Heart, Milan, Italy; Applied Technology for Neuro-Psychology Lab., Istituto Auxologico Italiano IRCCS, Milan, Italy. Electronic address:
Psychedelic drugs offer valuable insights into consciousness, but disentangling their causal effects on perceptual and high-level cognition is nontrivial. Technological advances in virtual reality (VR) and machine learning have enabled the immersive simulation of visual hallucinations. However, comprehensive experimental data on how these simulated hallucinations affects high-level human cognition is lacking.
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