Academic Journals Database
Disseminating quality controlled scientific knowledge

Interdisciplinary Approach to the Mental Lexicon: Neural Network and Text Extraction From Long-term Memory

Author(s): Vardan G. Arutyunyan

Journal: European Researcher
ISSN 2219-8229

Volume: 59;
Issue: 9-2;
Start page: 2348;
Date: 2013;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: mental lexicon | text extraction from memory | associative-semantic networks | regular and irregular morphology | connectionism | human brain | artificial intelligence.

The paper touches upon the principles of mental lexicon organization in the light of recent research in psycho- and neurolinguistics. As a focal point of discussion two main approaches to mental lexicon functioning are considered: modular or dual-system approach, developed within generativism and opposite single-system approach, representatives of which are the connectionists and supporters of network models. The paper is an endeavor towards advocating the viewpoint that mental lexicon is complex psychological organization based upon specific composition of neural network. In this regard, the paper further elaborates on the matter of storing text in human mental space and introduces a model of text extraction from long-term memory. Based upon data available, the author develops a methodology of modeling structures of knowledge representation in the systems of artificial intelligence.

Tango Jona
Tangokurs Rapperswil-Jona

RPA Switzerland

RPA Switzerland

Robotic process automation