AI system automates technical translation glossaries using async pipeline and self-critique

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A new AI tool automates the creation of technical translation glossaries, a process that typically takes human translators hours to complete manually. The system uses an asynchronous pipeline with Redis queues and FastAPI to process large documents without exceeding API rate limits or token constraints. It employs a three-stage map-reduce process where an agentic component reviews and self-corrects the glossary for consistency and accuracy. The tool exports results in both CSV and TBX formats for integration with professional translation software.

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