Шевченко, Ольга Миколаївна2023-06-262023-06-262020Шевченко, О. М. Survey of Modern Machine Translations Systems / О. М. Шевченко // Матеріали VII Міжнародної науково-практичної конференції «Interaction of Language Units: Communicative and Cognitive, Sociocultural, Translation and Methodological Approaches». – Київ : КПІ ім. Ігоря Сікорського, 2020. – C. 85-87.https://ela.kpi.ua/handle/123456789/57577Traditionally, there existed two main methods of Machine translation: Rule-based machine translation (RBMT) which relies mostly on inguistic knowledge and rule-based algorithms to generate translations, and Statistical machine translation (SMT) which uses models to learn patterns and relationships between the source language input and the target language output. A recently introduced Neural machine translation (NMT) uses pre-trained neural networks to efficiently translate from one language to another.enMachine translation (MT)Neural machine translation (NMT)Rule-based machine translation (RBMT)Statistical machine Translation (SMT)ArticleC. 85-870000-0001-6726-7269