| Поле DC | Значение | Язык |
|---|
| dc.contributor.author | Shurykina, L. S. | - |
| dc.contributor.author | Latukhina, E. A. | - |
| dc.contributor.author | Petrova, T. V. | - |
| dc.date.accessioned | 2025-06-03T09:31:27Z | - |
| dc.date.available | 2025-06-03T09:31:27Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.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. | ru |
| dc.identifier.uri | http://dspace.bsuedu.ru/handle/123456789/65242 | - |
| dc.description.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 | ru |
| dc.language.iso | en | ru |
| dc.subject | linguistics | ru |
| dc.subject | computational linguistics | ru |
| dc.subject | dialect words | ru |
| dc.subject | classification | ru |
| dc.subject | natural language processing | ru |
| dc.subject | convolutional neural network | ru |
| dc.subject | long short-term memory | ru |
| dc.title | Using CNN and LSTM neural networks for Arkhangelsk dialect word identification and classification | ru |
| dc.title.alternative | Применение нейронных сетей CNN и LSTM для идентификации и классификации диалектизмов на материалах архангельских говоров | ru |
| dc.type | Article | ru |
| Располагается в коллекциях: | Т. 10, вып. 4
|
