МАШИННИЙ ПЕРЕКЛАД У ТЕХНІЧНІЙ СФЕРІ: КЕЙС ТРАНСПОРТНОЇ ТЕРМІНОЛОГІЇ
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Abstract
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.
