oma-translator

Context-aware translation preserves interpolation variables, tags, and markup by enforcing mechanical placeholder and format integrity checks, ensuring headings, lists, and links remain structurally equivalent across single or batch UI string translations.

Avoid translationese and tone drift by using a quality verification workflow that applies rubric-based naturalness checks, register consistency, and anti-AI pattern avoidance rules to your translated content.

Yes, batch translation supports locale files, glossary constraints, and formatting rules, applying consistent domain terminology and style inference across documentation and marketing copy while maintaining document structure.

Translation review verifies existing translations by checking terminology alignment, register consistency, and naturalness against rubric rules, ensuring the text meets project glossary and style guide requirements without introducing tone drift.

Automated translation may be insufficient when source text lacks surrounding project context or when strict locale-specific legal requirements demand human review beyond mechanical placeholder integrity and rubric-based naturalness checks.