Communication errors remain a critical factor in aviation accidents, often rooted in language barriers and the cognitive load associated with complex terminology. While English is the global standard, the trilingual operational environment in Central Asia (Kazakh-English-Russian) presents unique challenges in conceptual equivalence and professional training. This research addresses the “descriptive-only” gap in current tools for training of future aviation specialists by developing an integrated linguistic and technological framework for a trilingual aviation thesaurus. Unlike traditional linear dictionaries, this project utilizes a “Concept Node” architecture based on ICAO, EASA, and IATA standards, mapping semantic relationships (hypernyms, hyponyms, and collocations) to facilitate intuitive understanding. The study analyzed a robust corpus of 5,800 specialized terms, with a projected expansion to 10,000 units. The framework was operationalized into a mobile application featuring 3D visual contextualization, fuzzy-match search algorithms, and standardized audio modules to mitigate psycholinguistic stress. The effectiveness and practical relevance of the developed tool were validated through official expert evaluations from SCAT Airlines and the 405 Aviation Repair Plant. The results demonstrate that a multidimensional thesaurus approach significantly reduces translation latency and cognitive errors, providing a scalable solution for enhancing global aviation safety and specialist training.