How Engineers Can Build Terminology Pipelines to Prevent Regulatory Translation Drift
Asset managers distributing funds across multiple EU markets must publish SFDR disclosures in each local language, using legally fixed terms that must remain consistent across all document versions and updates. Unlike grammar errors, the real risk is semantic drift, where a regulated term like 'Principal Adverse Impacts' gets translated slightly differently across documents by different vendors, potentially triggering regulatory scrutiny. A developer-focused approach treats glossary management as a data engineering problem, storing terms in structured, versioned JSON with locked translations rather than informal spreadsheets. This termbase can then feed directly into professional CAT tools such as memoQ or Trados, while automated scripts validate translated documents against approved terminology before publication. The method mirrors established software practices like API contract versioning, applying a single source of truth and programmatic checks to multilingual compliance workflows.
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