MACHINE TRANSLATION IN UNMANNED AVIATION: OPPORTUNITIES AND CHALLENGES

Isaeva E., Frolova K., Popovtseva A.

Modern machine translation technologies have made it possible to achieve a high level of automation in the work of technical translators, whose key tasks at the moment are the creation of a high-quality domain-specific glossary and post-editing of automatically translated text. The Smartcat platform is one of the most popular open-source translation resources. Nevertheless, its capabilities, including the integration of linguistic resources based on artificial intelligence, have not been tested on technical documentation in the new actively developing industry of unmanned aircraft systems. In this paper, the peculiarities of creating the glossary of unmanned aircraft systems are considered, the experiment of machine translation of technical text is conducted, the quality of machine translation performed by online AI-based tools is compared. The results allow us to argue that modern machine translation tools are effective in optimising the activities of technical translators in the field of unmanned aircraft systems, but do not eliminate them completely from the process. Our work contributes to the development of translation science, expanding the range of its application areas and the technical translator's toolkit.

Keywords:Translation of unmanned aircraft systems terms; technical translation, glossary, UAS terminology, unmanned aerial systems, translation studies, Google Neural Machine Translation, DeepL, Yandex, Baidu Translate API, OpenAI GPT