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Hera AI improves machine translation quality and reduces localization costs by combining the speed and scalability of machine translation with the contextual intelligence of LLMs. Hera AI works directly with bilingual file formats, allowing to integrate reference materials, and applies context across multiple segments (not just one at a time).
Key features:
- Automated post-editing
- Automated linguistic quality assurance
- Automated quality estimation
- LLM-based translation

Hera AILLM-powered tool for post-editing, LQA, and QE
Nina Kalininaleft a comment
Hera AI acts as a bridge between CAT (computer-assisted translation) tools and LLMs, designed for production use. LLMs need to βreadβ larger portions of text to understand tone, terminology, and style β so we developed a way to parse bilingual files in batches, giving the model full context.

Hera AILLM-powered tool for post-editing, LQA, and QE
