THE DEVELOPMENT OF SYNTACTIC PROCESSING SKILLS IN DEAF PUPILS: VISUALIZATION OF SYNTACTIC STRUCTURES WITHIN A COMPUTERIZED LEARNING ENVIRONMENT

2016 ◽  
Author(s):  
Paul Miller ◽  
Loren Habib-Najjar
Keyword(s):  
Learning Environment ◽  
Syntactic Processing ◽  
Syntactic Structures ◽  
Computerized Learning

Auditory comprehension and aging: Decline in syntactic processing

1991 ◽  
Vol 12 (4) ◽  
pp. 433-452 ◽  
Author(s):  
Loraine K. Obler ◽  
Deborah Fein ◽  
Marjorie Nicholas ◽  
Martin L. Albert
Keyword(s):  
Short Term Memory ◽  
Age Groups ◽  
Reaction Times ◽  
Syntactic Processing ◽  
Auditory Comprehension ◽  
Short Term ◽  
Mental Control ◽  
Syntactic Structures ◽  
Age Related ◽  
Neuropsychological Tasks

ABSTRACTComprehension of six syntactic structures was tested across four age groups. Each structure was presented with both plausible and implausible content. The contribution of cognitive nonlinguistic factors important for comprehension (attention, short-term memory, and mental control) was tested via standard neuropsychological tasks. Sixty-six women aged 30–79 were tested. Both errors and reaction times increased with age, especially for more complex syntactic types and implausible sentences. The neuropsychological factors tested contributed minimally to an age-related decline in comprehension, suggesting that the subtle breakdown seen in syntactic processing may be a language-specific impairment.

The on-line assessment of metacognitive skills in a computerized learning environment

2014 ◽  
Vol 29 ◽  
pp. 123-130 ◽  
Author(s):  
Marcel V.J. Veenman ◽  
Laura Bavelaar ◽  
Levina De Wolf ◽  
Marieke G.P. Van Haaren
Keyword(s):  
Learning Environment ◽  
Metacognitive Skills ◽  
On Line ◽  
Computerized Learning

scholarly journals Sentence processing: How words generate syntactic structures in the brain

2020 ◽  
Author(s):  
Jordi Martorell ◽  
Piermatteo Morucci ◽  
Simona Mancini ◽  
Nicola Molinaro
Keyword(s):  
Sentence Processing ◽  
Event Related Potential ◽  
Syntactic Processing ◽  
Time Resolved ◽  
Syntactic Structures ◽  
Open Questions ◽  
Sentence Level ◽  
Critical Issues ◽  
On Line ◽  
The Brain

Language comprehension relies on the fundamental ability to create meaningful syntactic structures from single words during on-line processing. Time-resolved neuroimaging techniques can be used to measure electrophysiological activity revealing the neural dynamics underpinning these combinatorial processes in the brain. In the present chapter, we review and critically evaluate studies that have specifically investigated the electrophysiological bases of sentence-level syntactic processing using different types of analyses and paradigms. Besides reviewing event-related potential (ERP) studies, we focus on recent investigations of neural oscillations, highlighting their relevance and implications for our understanding of syntactic processing. Furthermore, we discuss critical issues related to the interpretation of current electrophysiological findings, including open questions such as the relationship between syntax and semantics and the link between ERPs and oscillations.

Syntactic parsing

2007 ◽  
pp. 288-308 ◽  
Author(s):  
Roger P. G. van Gompel ◽  
Martin J. Pickering
Keyword(s):  
Sentence Processing ◽  
Syntactic Structure ◽  
Working Memory Capacity ◽  
Structural Complexity ◽  
Relevant Information ◽  
Syntactic Processing ◽  
Sources Of Information ◽  
Syntactic Structures ◽  
The Mind ◽  
Crucial Part

A crucial part of understanding a sentence is to construct its syntactic structure. Without this, it would be very difficult for language users to determine that sentence with different word orders. The processes involved in constructing syntactic structures during language comprehension are commonly referred to as parsing or syntactic processing. Sentence processing theories can roughly be divided into interactive accounts, in which all relevant information can be used immediately; and modular accounts, in which some information can be used immediately but some cannot. Modular models assume that the mind consists of modules which perform very specific processes. In contrast, interactive accounts assume that the processor immediately draws upon all possible sources of information during sentence processing, including semantics, discourse context, and information about the frequency of syntactic structures. In addition to the above, this article discusses syntax and semantics, lexical frequency, discourse effects, working memory capacity, structural complexity, and adoption of ungrammatical syntactic structures.

Syntactic Processing in Language and Music: Different Cognitive Operations, Similar Neural Resources?

1998 ◽  
Vol 16 (1) ◽  
pp. 27-42 ◽  
Author(s):  
Aniruddh D. Patel
Keyword(s):  
Working Memory ◽  
Cognitive Neuroscience ◽  
Syntactic Processing ◽  
Brain Potential ◽  
Syntactic Structures ◽  
Structural Integration ◽  
Cognitive Operations ◽  
Language And Music ◽  
Processing Abilities ◽  
Resource Hypothesis

Does the processing of structural relations in music have anything in common with the syntactic processing of language? Important differences in the form, purpose, and use of syntactic structures in the two domains suggest that the answer should be "no." However, recent eventrelated brain potential (ERP) data suggest that some aspect of syntactic processing is shared between domains. These considerations lead to a novel hypothesis that linguistic and musical syntactic processing engage different cognitive operations, but rely on a common set of neural resources for processes of structural integration in working memory ("shared structural integration resource" hypothesis). This hypothesis yields a nonintuitive prediction about musical processing in aphasic persons, namely, that high-and low-comprehending agrammatic Broca's aphasics should differ in their musical syntactic processing abilities. This hypothesis suggests how comparison of linguistic and musical syntactic processing can be a useful tool for the study of processing specificity ("modularity") in cognitive neuroscience.

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