Shevchenko, O. M.Ogurtsova, O. L.2023-06-242023-06-242023Shevchenko, O. M. Neural Machine Translation: Basic Principles, Strengths and Weaknesses // Shevchenko O. M., Ogurtsova O. L. // Monographic series «European Science». – 2023. – Book 18, Part 4. – P. 86-92.https://ela.kpi.ua/handle/123456789/57539The basic principles of Neural machine translation (NMT) involve the use of artificial neural networks to transform text from one language to another. The networks are trained on large bilingual cprpora to learn the statistical patterns and structures of both languages. In spite of a high speed of the translation process, NMT has also substantial drawbacks. They include the following: NMT models require large amounts of data and rely on the availability of parallel data required for training these models.enNeural machine translation (NMT)NMT translation modelbilingual corporaBook chapterP. 86-920000-0001-6726-7269