Understanding Natural Language
Understanding Natural Language
The Structure of a Semantic Neural Network Extracting the Meaning from a Text
Cybernetics and Systems Analysis
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Realization of a Binary Clocked Linear Tree and Its Use for Processing Texts in Natural Languages
Cybernetics and Systems Analysis
Semantic networks -based teachable agents in an educational game
WSEAS Transactions on Computers
Self-organizing content management with semantic neural networks
NN'09 Proceedings of the 10th WSEAS international conference on Neural networks
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A synchronized linear tree is considered as the structure of connections between neurons in a semantic neural network, which makes it possible to perform operations of morphological and syntactic analysis. Such a tree can be considered as a finite automaton. A dictionary entry is realized by a neural subautomaton. Wordforms of a dictionary entry are substates of such a subautomaton. An inflection consists of the transition of the subautomaton from one substate to another.