Documentation / QueryTek Review glossary / Linguistic Quality Assurance
Linguistic quality assurance is structured evaluation of language quality against defined criteria — accuracy, terminology, style, and fitness for the intended reader. It differs from proofreading by categorizing findings against a rubric rather than simply correcting them, which makes the results measurable.
LQA originated in translation and localization, where quality had to be assessed across languages nobody on the requesting side could read. That constraint forced a discipline that turns out to be useful for any content quality work: findings are classified, not just fixed.
"The writing is good" is not something an organization can act on, verify, or hold a supplier to. LQA converts language quality into categorized, severity-weighted findings that support a decision.
It also makes quality trackable. Because findings aggregate, an organization can see whether a recurring problem is improving — impossible when review output is a series of corrected drafts.
Structured findings also change supplier conversations. When a translation or content vendor receives categorized findings instead of marked-up drafts, both sides can agree on what went wrong, whether it recurs, and what an acceptable level looks like, which turns quality from a matter of opinion into something both can measure.
QueryTek Review applies LQA-style structured evaluation where language quality is the subject, classifying findings against the module rubric so results are comparable across documents. Category sets and severity weightings are rubric artifacts.
