| DC Field | Value | Language |
|---|
| dc.contributor.author | Zhivitskiy, I. A. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2025-06-17T07:04:17Z | - |
| dc.date.available | 2025-06-17T07:04:17Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.citation | Zhivitskiy, I. A. Automated translation tools: efficiency and prospects / I. A. Zhivitskiy // Электронные системы и технологии : сборник материалов 61-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 21–25 апреля 2025 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Д. В. Лихаческий [и др.]. – Минск, 2025. – С. 711–713. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/60277 | - |
| dc.description.abstract | This article provides an overview of modern automated translation tools and offers a comparative analysis of classical, neural, and hybrid systems, evaluating their efficiency and prospects. The study examines the advantages and disadvantages of each approach and offers recommendations for optimizing current translation systems and developing new models capable of enhancing translation accuracy and speed. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | neural networks | en_US |
| dc.subject | automated translation | en_US |
| dc.subject | machine translation | en_US |
| dc.subject | online translator | en_US |
| dc.title | Automated translation tools: efficiency and prospects | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Электронные системы и технологии : материалы 61-й конференции аспирантов, магистрантов и студентов (2025)
|
