Morphological text analysis using neural networks
A.N. ZhdanovaSamara National Research University,Samara,Russian FederationAlexander KupriyanovSamara National Research University, IPSI RAS – Branch of the FSRC, “Crystallography and Photonics” RAS Samara,Samara,Russian FederationD.S. SherenkovSamara National Research University,Samara,Russian Federation
2022en
ABI
Аннотация
The article is devoted to applying neural networks technology to solve morphological text analysis. A marked-up text dataset was used for training, where each word was assigned its part of speech. The neural network approach was compared with dictionary methods.
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Цитирований: 2Использованных источников: 0