IEEE Organizations related to Neurolinguistics

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No organizations are currently tagged "Neurolinguistics"



Conferences related to Neurolinguistics

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2019 International Joint Conference on Neural Networks (IJCNN)

IJCNN covers a wide range of topics in the field of neural networks, from biological neural network modeling to artificial neural computation.



Periodicals related to Neurolinguistics

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No periodicals are currently tagged "Neurolinguistics"


Most published Xplore authors for Neurolinguistics

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Xplore Articles related to Neurolinguistics

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From Mirror Neurons to Computational Neurolinguistics

2009 International Joint Conference on Neural Networks, 2009

The mirror system hypothesis for the evolution of the language-ready brain (e.g., [1, 2]) suggests a path for evolution of brain mechanisms atop the mirror system for grasping, with new processes supporting simple imitation, complex imitation, gesture, pantomime and finally protosign and protospeech. The present talk will briefly summarize the evolutionary story as background for a suggested program of research ...


The effect of mental strategy in lexical training upon improving phychometric reaction time

2013 E-Health and Bioengineering Conference (EHB), 2013

The experiment purposes to assess which type of mental strategy in training lexical abilities has the best reaction time improvement. Three groups of 16 persons each (equal men-women), equalized distributed as lexical performance after a pre-evaluated test were trained three days each using one of three type of methods - icon-nonlexical, graphemic-letter and semantic-icon-lexical mixed. We assess reaction time improvement ...


A Connectionist Approach to Learn Marathi Language

2008 First International Conference on Emerging Trends in Engineering and Technology, 2008

In this paper, we have investigated the inductive inference of complex grammar of subset of Marathi (Indian) language and results are reported. We have investigated Elman recurrent networks (ERNs), Jordon recurrent networks (JRNs), time lagged recurrent networks (TLRNs) and recurrent neural networks (RNNs). In this empirical study, we consider the task of classifying Marathi language sentences as grammatical or ungrammatical ...


An Experimental Evaluation of the NeuroMessenger: A Collaborative Tool to Improve the Empathy of Text Interactions

2018 IEEE Symposium on Computers and Communications (ISCC), 2018

Empathy plays an important role in social interactions, for example, in effective teaching-learning processes in teacher-student relationships, and in the company-client or employee-customer relationships, retaining potential partners and providing them with greater satisfaction. In parallel, the Computer-Mediated Communication (CMC) support people in their interactions, especially when the interlocutors are geographically distant from one another. In CMC, there are several approaches ...


Subject Islands, Reconstruction, and the Flow of the Computation

Linguistic Inquiry, 2014

<para>Recent research has highlighted a remarkable variability in subject island effects. Focusing on intransitive verbs and adjectives, we argue that islandhood is determined at the syntax-semantics interface: subjects qualify as islands when they are interpreted outside the predicative nucleus of the clause, in a categorical LF structure (<xref ref-type="bibr" rid="LING_a_00166.bib040">Ladusaw 1994</xref>); they are transparent for extraction when they undergo total ...


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Educational Resources on Neurolinguistics

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IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Neurolinguistics"

IEEE-USA E-Books

  • From Mirror Neurons to Computational Neurolinguistics

    The mirror system hypothesis for the evolution of the language-ready brain (e.g., [1, 2]) suggests a path for evolution of brain mechanisms atop the mirror system for grasping, with new processes supporting simple imitation, complex imitation, gesture, pantomime and finally protosign and protospeech. The present talk will briefly summarize the evolutionary story as background for a suggested program of research in neurolinguistics, with modeling challenges at the levels both of schemas and neural networks to make contact with data from psycholinguistics, neurophysiology, and neurology.

  • The effect of mental strategy in lexical training upon improving phychometric reaction time

    The experiment purposes to assess which type of mental strategy in training lexical abilities has the best reaction time improvement. Three groups of 16 persons each (equal men-women), equalized distributed as lexical performance after a pre-evaluated test were trained three days each using one of three type of methods - icon-nonlexical, graphemic-letter and semantic-icon-lexical mixed. We assess reaction time improvement for each group at: icon, letter and semantic lexical decision tasks using a Romanian patented psycho-verbal stimulation interface. Results proved the best results were for specific task training, and the fact that semantic training develops also sensorial-letter decoding abilities, but icon and letter recognition (non-semantic) training do not improve semantic decoding, but can even worsen comprehensive reading.

  • A Connectionist Approach to Learn Marathi Language

    In this paper, we have investigated the inductive inference of complex grammar of subset of Marathi (Indian) language and results are reported. We have investigated Elman recurrent networks (ERNs), Jordon recurrent networks (JRNs), time lagged recurrent networks (TLRNs) and recurrent neural networks (RNNs). In this empirical study, we consider the task of classifying Marathi language sentences as grammatical or ungrammatical as well as modeled the problem as a prediction problem. We have also analyzed the operation of the networks by investing rule approximation.

  • An Experimental Evaluation of the NeuroMessenger: A Collaborative Tool to Improve the Empathy of Text Interactions

    Empathy plays an important role in social interactions, for example, in effective teaching-learning processes in teacher-student relationships, and in the company-client or employee-customer relationships, retaining potential partners and providing them with greater satisfaction. In parallel, the Computer-Mediated Communication (CMC) support people in their interactions, especially when the interlocutors are geographically distant from one another. In CMC, there are several approaches to promote empathy in social or human computer interactions. However, for this type of communication, a little explored mechanism to gain empathy is the use of the theory of Neurolinguistics that presents the possibility of developing a Preferred Representation System (PRS) for cognition in humans. In this context, this paper presents an experimental evaluation of the NeuroMessenger, a collaborative messenger library that uses Neurolinguistics, Psychometry and Text Mining to promote empathy among interlocutors, from the PRS identification and suggestion of textual matching. The results showed that the performance with the use of NeuroMessenger, in favor of empathy, was higher, as well as there was an evidence statistically significant of the difference between the distribution of grades in the empathy evaluation, in favor of NeuroMessenger. Despite the results are satisfactory, more research on textual matching to gain empathy is needed.

  • Subject Islands, Reconstruction, and the Flow of the Computation

    <para>Recent research has highlighted a remarkable variability in subject island effects. Focusing on intransitive verbs and adjectives, we argue that islandhood is determined at the syntax-semantics interface: subjects qualify as islands when they are interpreted outside the predicative nucleus of the clause, in a categorical LF structure (<xref ref-type="bibr" rid="LING_a_00166.bib040">Ladusaw 1994</xref>); they are transparent for extraction when they undergo total reconstruction into the predicative nucleus, giving rise to a thetic structure. The thetic/categorical interpretation depends on various factors (most notably the stage-level versus individual-level nature of the predicate), whose interaction accounts for the observed variability of island effects, as shown by our experimental evidence. The relevance of subject reconstruction need not be stipulated; rather, it follows from a top-down-oriented computation, in which movement dependencies are implemented by a storage-and-retrieval mechanism.</para>

  • Automatic detection of linguistic indicators as a means of early detection of Alzheimer's disease and of related dementias: A computational linguistics analysis

    In the present study, we analyzed written samples obtained from Greek native speakers diagnosed with Alzheimer's in mild and moderate stages and from age- matched cognitively normal controls (NC). We adopted a computational approach for the comparison of morpho-syntactic complexity and lexical variety in the samples. We used text classification approaches to assign the samples to one of the two groups. The classifiers were tested using various features: morpho- syntactic and lexical characteristics. The proposed method excels in discerning AD patients in mild and moderate stages from NC leading to the in- depth understanding of language deficits.



Standards related to Neurolinguistics

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