Maqola

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

Annotatsiya

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.

Hali tarjima qilinmagan

Identifikatorlar

DOI: 10.1109/itnt55410.2022.9848738

Iqtiboslar va manbalar

2 ta iqtibos0 ta foydalanilgan manba

Koʻrsatkichlar — AkademScholar