The article deals with the evolution of translation strategies, comparing traditional methods with contemporary machine translation technologies.The analysis encompasses a wide range of approaches, from direct and indirect translation to neural network-based models.The key theme is the examination of differences in decision-making processes during translation and the exploration of the advantages and limitations of each approach.The main challenge is the accuracy of content transmission and the consideration of context in translation.Human translators have the ability to adapt texts, taking into account not only grammatical and lexical norms, but also other factors such as emotional nuances, styles and tones, which is important for maintaining the appropriateness of the translation.At the same time, machine translation, even with the most advanced technologies, may struggle with texts that require a high level of cultural and stylistic context.For example, in the context of literary and fictional texts, machine translation systems have been observed to underperform with regard to capturing the nuances and depth of meaning that are characteristic of human translation.Moreover, the article discusses the potential for combining human and machine translation.It is important to note that for certain types of texts (e.g., technical or scientific ones), machine translation can be highly effective, especially when dealing with standardized terms and expressions.However, for more complex and creative texts, such as literary or marketing materials, human translation remains indispensable.In the future, the use of combined systems that integrate the advantages of both approaches may achieve high accuracy while preserving context in translation.Furthermore, the article focuses on the development of new machine translation methods aimed at improving accuracy and contextual understanding.At the same time, the limitations of existing technologies and the challenges faced by researchers in addressing issues related to context, style, and cultural adaptation of texts are discussed.One of the important topics is the role of cultural context in translation.Human translators are able to consider cultural differences and the specific characteristics of each language, which allows for more accurate and appropriate translations.Machine translation, on the other hand, often encounters difficulties in understanding cultural aspects and is not always able to adequately convey meaning when it has strong cultural ties.The article also emphasizes the importance of integrating cultural aspects into machine translation to ensure more accurate and relevant results.