ARTIFICIAL INTELLIGENCE TO AUTOMATE: TRANSLATION OF TECHNICAL TERMS IN PROJECT MANAGEMENT

This article highlights the influence of artificial intelligence (AI) on automating the translation of technical terminology in project management. In particular, the article focuses on the use of machine translation (MT), which, thanks to their ability to process large amounts of data, cloud computing, and advanced algorithms, increase the accuracy and speed of translation of technical documentation. It is noted that AI helps to reduce translation costs and improves the consistency of terminology, which is critical for the successful completion of projects with tight deadlines. Nevertheless, challenges in this field are also identified, including the high error rate in translating highly specialized terms and the ongoing need to enhance systems to meet the varied demands of users. Different translation approaches are discussed, including neural machine translation (NMT), statistical machine translation (SMT) and rule-based machine translation (RBMT), which ensure high accuracy and smoothness of translation. Integrating AI into project management systems can also optimise communication in multilingual teams. The article highlights the growing role of AI in the translation of technical terms, which has great potential to improve efficiency in project management.