Linguistic Quality Assurance
Independent linguistic review that checks accuracy, consistency and style across your multilingual content, whether it was produced by people, machines or both.
- Independent of the original translators where feasible
- Agreed error categories and severity
- Findings documented, not just fixed
What we do
A structured second pair of eyes on multilingual content
Multilingual content often comes from several places: different vendors, in-country teams, internal staff and, increasingly, AI tools. Linguistic QA gives you a consistent, criteria-based review of all of it before it reaches customers, regulators or employees.
The review checks accuracy against the source, terminology, style, consistency and formatting. The output is not just a corrected file. It is a record of what was found, so recurring issues can be fixed at their source.
Linguistic QA can be applied to Anuvaad deliverables, to content from other vendors, and to machine or AI-generated content that needs a human quality check.
Who uses this service
- Localization managers working with several vendors
- Product teams preparing a release
- Compliance and regulated-content owners
- Teams adopting machine translation or generative AI
- Marketing teams with high-visibility publications
- Procurement teams that want independent quality assurance
Where it is used
- Content produced by multiple vendors or teams
- Pre-release checks for software and websites
- Regulated or high-visibility publications
- Review of machine or AI-generated content
Typical content and scope
- Proofreading
- Editing
- Linguistic review
- Terminology consistency
- Style guide compliance
- UI linguistic testing
- Multilingual QA
- AI-generated content review
Service capabilities
What Linguistic QA covers
Each capability can be scoped on its own or combined into one program. The workflow and review depth are set per project.
- 01
Proofreading
A final check for spelling, grammar, punctuation, typography and consistency before publication.
- 02
Bilingual editing
Review of the translation against the source, correcting accuracy, fluency and tone.
- 03
Linguistic review
A structured review against agreed criteria, with issues classified and reported.
- 04
Terminology consistency
Verification that approved terms are used, and used the same way, across documents.
- 05
Style guide compliance
Checks against your tone, formatting and style rules, and a note of where the rules are unclear.
- 06
UI linguistic testing
Review of localized interfaces in context for truncation, wording and consistency.
- 07
Multilingual QA of vendor content
Independent review of content produced by other vendors or internal teams.
- 08
Review of AI-generated content
Human review of machine or AI-generated multilingual text, from spot checks to full editing.
- 09
Glossary and style guide development
Building or tidying terminology and style guidance from findings.
- 10
Quality reporting
Findings summarized by category and severity so trends are visible across projects and vendors.
How technology and people work together
Automated checks, human judgment
Tools are good at catching consistency slips, number mismatches, missing tags and terminology deviations. They cannot judge tone, ambiguity or whether a sentence works for a real reader. We use both, and a linguist makes the final call.
- Step 1
Define criteria
Quality expectations, error categories, severity and sampling approach are agreed with you.
Human expertise - Step 2
Automated checks
Where suitable, tools check numbers, tags, terminology and consistency to focus reviewer time.
Technology-assisted - Step 3
Linguistic review
Reviewers compare content against the source and guidelines and classify issues.
Human expertise - Step 4
Correction and reporting
Issues are corrected or reported for your approval, depending on the agreed scope.
Human expertise - Step 5
Terminology verification
Terminology and style are re-checked across the whole content set.
Quality check - Step 6
Findings report
Results and recommended improvements are documented and delivered.
Output
The workflow is shaped by
- Content type and risk
- Full review or sampling
- Available guidelines
- Language pair
- Tools and file formats
- Turnaround
Quality assurance
Quality and linguistic control
A review is only useful if the criteria are clear. We agree them first, then apply them consistently.
Confidentiality and content handling
Client confidentiality and controlled handling of project content are considered throughout the delivery process. Specific security and data-handling requirements can be discussed during project onboarding.
Agreed error categories
Issues such as mistranslation, omission, terminology, style and formatting are defined before review starts.
Severity levels
Issues are graded so critical problems are separated from preferences.
Reviewer independence
Reviewers are separate from the original translators where feasible.
Full review or sampling
The approach is matched to the content's risk and volume, and stated in the report.
Documented findings
Every issue is recorded so recurring problems can be traced to their cause.
Terminology and style updates
Glossaries and style guidance are updated so the same issue does not repeat.
Verification of corrections
Corrected content is re-checked where the scope includes a second pass.
Confidential handling
Data-handling requirements are agreed at onboarding before content is shared.
Industries and use cases
Where this work makes a difference
A few examples of how the service is applied. Every project is shaped around your content, terminology and audience.
- Technology & IT
Pre-release linguistic checks
Localized interfaces and help content reviewed before release, in context where access is available.
- Corporate & Legal
Regulated and high-visibility content
Policies, public statements and corporate publications reviewed against agreed criteria.
- Learning & Training
Course and assessment review
Localized learning content checked for accuracy, consistent terminology and clarity for learners.
- Healthcare
Specialized and patient-facing content
Terminology and plain-language review of specialized content, subject to reviewer availability.
- Engineering & Manufacturing
Technical documentation review
Manuals and specifications checked for terminology consistency across product lines.
- Information & Content Services
Machine-translated content at scale
Sampling-based review of large volumes to show where machine output needs human correction.
Typical project workflow
From requirement to delivery
A typical path for this service. Steps and depth are adjusted to your content, languages and risk level.
- 1
Requirement
You share the content, languages, source of the translations and any guidelines.
- 2
Assessment
We review volume, risk and how the content will be used.
- 3
Quality criteria
We agree error categories, severity, and whether review is full or sampled.
- 4
Resource assignment
Independent reviewers are matched to the subject and language.
- 5
Review
Reviewers check content against the source and guidelines.
- 6
Correction
Issues are corrected or reported for approval.
- 7
Terminology verification
Terminology and style consistency are confirmed across the content.
- 8
Report and delivery
Reviewed content and a findings summary are delivered.
What you can expect to receive
- Corrected, reviewed content in your required format
- A findings report with issues by category and severity
- Recommendations for terminology, style and process improvements
- An updated or new glossary and style guide where in scope
- Sampling summary showing what was reviewed and how
Ways to work with us
One-off review
A defined set of content reviewed before a release or publication.
Ongoing vendor QA
Regular independent review of content coming from other vendors or teams.
AI output review
Sampling or full review of machine and AI-generated content.
Glossary and style program
Findings turned into terminology and style guidance that raise quality over time.
Languages
Review is offered where qualified reviewers are available for the language. This is confirmed at scoping.
Related services
Often combined with
Translation
Translation with review built in from the start.
View serviceAI Translation & MTPE
Post-editing when machine output needs more than a check.
View serviceLocalization
In-context localization and testing for products and sites.
View serviceAI & Language Services
Evaluation of multilingual AI systems by human reviewers.
View service
FAQ
Questions buyers ask
Can you review content produced by other vendors?
Yes. Linguistic QA can be applied to content regardless of where it was produced, using criteria we agree with you.
What is the difference between proofreading and linguistic QA?
Proofreading is a final check for errors in a finished text. Linguistic QA is a structured review against the source and agreed criteria, with issues classified, reported and used to improve the process.
Do you review everything, or sample?
Both are possible. Full review suits high-risk or short content. Sampling suits large volumes, and the report states clearly what was and was not reviewed.
Can you review AI-generated multilingual content?
Yes. Human review of machine or AI-generated content is a supported workflow, from spot checks to full editing.
What do we receive at the end?
Corrected content in your required format and, where in scope, a report of findings by category and severity with recommendations.
Can you work in our tools or platform?
We can work with common file formats and exports, and can discuss working in your environment. Share your setup and we will confirm the approach.
Can you build or clean up our glossary and style guide?
Yes. Findings from review often reveal terminology gaps, and we can turn them into a glossary and style guidance for future projects.
How is a QA project quoted?
Every project is assessed individually, based on volume, languages, the depth of review and the reporting you need. We do not publish fixed prices.
Want an independent check on multilingual content?
Send us a description of what you have and how it will be used. We'll recommend a review approach and quote it for your project.