Development of AI-Enabled Intelligent Aviation Maintenance English Translation Assistant Systems
Abstract
execution of maintenance tasks relies fundamentally on specialized English technical documentation, including maintenance manuals, troubleshooting guides, and airworthiness directives. The accuracy and timeliness of English translations directly impact maintenance quality,
operational efficiency, and ultimately, flight safety. As AI technology develops rapidly, natural language processing, large language models,
and other technologies are constantly integrating with the translation sector, providing new solutions for Aviation Maintenance English translation and driving the shift from traditional human-centric translation approaches toward AI-assisted translation paradigms. This paper mainly
conducts research on the development of AI-enabled intelligent Aviation Maintenance English translation assistance systems. Through reviewing foundational research, core technological application, and critical aspects of system development, while analyzing existing challenges and
deficiencies, it projects future developmental pathways.
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DOI: http://dx.doi.org/10.70711/aitr.v3i11.9358
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