Selected Problems of Intelligent Corpus Analysis through Probabilistic Neural Networks

نویسندگان

  • Keith Douglas Stuart
  • Maciej Majewski
  • Ana Botella Trelis
چکیده

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.

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تاریخ انتشار 2010