http://dspace.bsuedu.ru/handle/123456789/65242| Title: | Using CNN and LSTM neural networks for Arkhangelsk dialect word identification and classification |
| Other Titles: | Применение нейронных сетей CNN и LSTM для идентификации и классификации диалектизмов на материалах архангельских говоров |
| Authors: | Shurykina, L. S. Latukhina, E. A. Petrova, T. V. |
| Keywords: | linguistics computational linguistics dialect words classification natural language processing convolutional neural network long short-term memory |
| Issue Date: | 2024 |
| Citation: | Shurykina, L.S. Using CNN and LSTM neural networks for Arkhangelsk dialect word identification and classification / L.S. Shurykina, E.A. Latukhina, T.V. Petrova // Научный результат. Сер. Вопросы теоретической и прикладной лингвистики. - 2024. - Т.10, №4.-C. 106-125. |
| Abstract: | The aim of this paper is to develop a dialect words classifier, which can be used to identify dialect words within a given text and categorize them into one of the predefined groups. The article describes the development of a neural network for dialect words identification and classification |
| URI: | http://dspace.bsuedu.ru/handle/123456789/65242 |
| Appears in Collections: | Т. 10, вып. 4 |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Shurykina_Using_CNN_24.pdf | 2.49 MB | Adobe PDF | View/Open |
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