Optimization Of Control And Correction Of Spelling Of Texts Of Electronic Documents

Jumanov Isroil Ibragimovich, Tolipov Asliddin Erkinovich

Abstract


A technique for designing a hypernetwork for searching natural language word forms with various graph models and implementing it in a spelling control and correction system based on the use of soft computing, in particular neural networks, fuzzy models, and fuzzy inferences, is proposed. The parameters of fuzzy graph models are optimized, numerical results are obtained. Knowledge bases with fuzzy rules and databases, n-grams of frequency dictionaries, dictionaries of word forms are implemented.

Keywords


Control And Correction Of Text Spelling, Automated Document Flow, Search Hypernetwork, Neural Network.

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References


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DOI: http://dx.doi.org/10.52155/ijpsat.v31.1.4156

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