Selected problems of intelligent corpus analysis through probabilistic neural networks

Authors:
Keith Douglas Stuart;Maciej Majewski;Ana Botella Trelis
Affiliations:
Department of Applied Linguistics, Polytechnic University of Valencia, Valencia, Spain;Department of Mechanical Engineering, Koszalin University of Technology, Koszalin, Poland;Department of Applied Linguistics, Polytechnic University of Valencia, Valencia, Spain
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Year:
2010

Citing 1
Cited 1

Probabilistic neural networks

Neural Networks

Intelligent semantic-based system for corpus analysis through hybrid probabilistic neural networks

ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper describes the application of artificial neural networks for corpus analysis which consists of intelligent mechanisms of analysis and recognition of word clusters and their meaning The task of analyzing a corpus of academic articles was resolved with probabilistic neural networks A review of selected issues is carried out with regards to computational approaches to language modeling as well as statistical patterns of language The paper features recognition algorithms of word clusters of similar meanings but different lexico-grammatical patterns from the established corpus using four-layer neural networks The paper also presents experimental results of word cluster recognition in the context of phrase meaning analysis.