МАШИННИЙ ПЕРЕКЛАД У ТЕХНІЧНІЙ СФЕРІ: КЕЙС ТРАНСПОРТНОЇ ТЕРМІНОЛОГІЇ

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The present master’s thesis, entitled “Machine Translation in the Technical Field: The Case of Transport Terminology”, is devoted to an area of growing importance at the intersection of linguistics, translation studies, and information technologies. The research explores the capacity of modern machine translation (MT) systems to process transport related terminology within technical texts, with the aim of providing a comprehensive analysis of their strengths, weaknesses, and prospects for improvement. The relevance of this research arises from the rapid globalization of scientific and industrial communication. In today’s interconnected world, the demand for fast and accurate translation in the technical domain is steadily increasing. This is especially true in the field of transportation, which constitutes a strategic sector for both national economies and international cooperation. Technical documentation, regulations, and operational guidelines in the transport industry are saturated with specialized terms, abbreviations, and professional jargon. Such features make translation particularly challenging, as equivalent terms are often lacking in the target language. Errors in translation may therefore lead to not only communicative misunderstandings but also serious technical and safety risks Against this background, machine translation has emerged as a key tool in cross cultural knowledge exchange, but its ability to convey terminological precision and pragmatic adequacy remains a subject of ongoing debate.. The object of the study is defined as the process of machine translation of technical texts. The subject is the specific reproduction of transport-related terminology in machine translation outputs. The research material encompasses corpora of technical and transport texts, processed and analyzed through a combination of machine-generated and human-edited translations. The main aim of the thesis is to reveal the peculiarities of machine translation performance in handling transport terminology and to outline practical ways of improving translation quality in this sphere.

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