Vector-based Approach to Verbal Cognition

Vector-based Approach to Verbal Cognition

Chuluundorj B

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University of the Humanities

Vector-based Approach to Verbal Cognition

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16 Cites in Article

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B Alex,T Floran (2013). Evidence for implicit learning in syntactic comprehension.
S Ana,O Henrik,J Lael (2013). Mapping the structure of semantic memory.
L David,S Noach (2013). Estimating large number.
E Grefensette,S Pulman,M Sadrzadeh,B Coecke (1998). Concrete sentence space for compositional distributional models of meaning.
F Evelina,W Rebecca,G Edward (2013). Direct evidence of memory retrieval as a source of difficulty in non-local dependencies in language.
H Jamet,M Sze (2013). The modulation of visual and task characteristics of a writing system on hemispheric lateralization in visual word recognition.
B Jaume,H Antoni,F Luria,F (2013). The parameters of the Menzerath-Altmann law in Genomes.
K Eric,S Pado (2008). A structured vector space model for word meaning in context.
Marcus Kracht (2008). Is Adjunction Compositional?.
S Marten,A,E William,S (2013). A model of language processing as hierarchic sequential production.
A Panos,B Emanuel (2013). Does grammatical aspect affect motion event cognition? A crosslinguistic comparison of English and Swedish speakers.
P Gärdenfors,M (2012). Using conceptual space to model actions and events.
D Stanislas (1997). The number sense.
E Stephen (2012). The neural architecture of grammar.
Wen Wen,Toru Ishikawa,Takao Sato (2013). Individual Differences in the Encoding Processes of Egocentric and Allocentric Survey Knowledge.
Daniel Yurovsky,Chen Yu,Linda Smith (2013). Competitive Processes in Cross‐Situational Word Learning.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Chuluundorj B. 2014. \u201cVector-based Approach to Verbal Cognition\u201d. Global Journal of Human-Social Science - A: Arts & Humanities GJHSS-A Volume 14 (GJHSS Volume 14 Issue A3).

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GJHSS Volume 14 Issue A3

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Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Keywords

dot and cross product eigen space and ei mental representation scalar semantic space tensor model vector space verbal cognition verbal mapping

Submission ReceivedDecember 7, 2013
Peer Review Double Blind
Handling Editor
Accepted January 5, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

May 20, 2014

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Article Matrices

Total Score: 101

Country: Mongolia

Subject: Global Journal of Human-Social Science - A: Arts & Humanities

Authors: Chuluundorj B (PhD/Dr. count: 0)

View Count (all-time): 183

Total Views (Real + Logic): 4596

Total Downloads (simulated): 2385

Publish Date: 2014 05, Tue

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Total Views: 4596

Total Downloads: 2385

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