Independent Translation Audit
Source-to-target evaluation of existing translations, with categorised findings and an agreed rating approach.
PangeaVox · Independent Language Quality Evaluation
Know how good your translations really are.
Measure the quality of existing human, machine-translated and AI-assisted content with independent linguistic evaluation, documented error classifications and actionable findings.
From a one-off translation audit to a repeatable multilingual vendor assessment, we help you make evidence-based decisions about content quality.
Independent audits · MQM-based error analysis · Human, MT & AI output
The translation describes deleting rather than saving changes. Meaning is reversed.
Example only. No client data or actual evaluation score is shown.
What LQA is
Linguistic Quality Assurance evaluates a translated text against its source, intended audience and agreed requirements. Errors are identified, categorised and assigned a severity level where relevant.
Unlike editing or proofreading, an LQA audit primarily establishes and documents the quality of an existing translation. Corrective editing may be commissioned separately.
Choose an evaluation scope
Start with a representative sample or request an extensive evaluation, depending on the volume, risk and intended use of your content.
Source-to-target evaluation of existing translations, with categorised findings and an agreed rating approach.
Human review of raw machine translation, post-edited MT or AI-assisted output against the same quality criteria.
Comparable evaluations of translations from different vendors or teams, using a consistent specification and sample plan.
In-context assessment of localised interfaces, strings, navigation, terminology and linguistic fit, where test access is available.
Subject-matter review for technical, medical, legal, financial and regulated content, with the appropriate level of expertise.
Periodic sampling and reporting to track quality changes, recurrent issues and corrective priorities over time.
A transparent evaluation framework
Our proposed evaluation methodology draws on the principles of ISO 5060:2024, which provides guidance on evaluating translation output, including human translation, post-edited MT and unedited MT.
For structured error annotation, we can use an agreed subset of Multidimensional Quality Metrics (MQM), adapted to your content type and quality requirements.
The evaluation brief defines error categories, severity rules, sampling and any weighting or acceptance threshold before the review starts.
Documented, not subjective
The precise taxonomy is agreed for each project. Common MQM-aligned categories include:
Mistranslation, omissions, additions and changes in meaning.
Incorrect or inconsistent use of approved terminology.
Grammar, spelling, punctuation and language conventions.
Tone, register, clarity and compliance with an agreed style guide.
Dates, numbers, currency, measurement units and locale-specific formats.
Wording or references unsuitable for the intended audience.
Text presentation, tags, formatting and relevant layout constraints.
Impact-based assessment
Our evaluators consider how each issue affects meaning, usability and the intended purpose of the translation. Severity definitions are calibrated to the content and agreed with the client.
A numerical score or pass/fail result is provided only if the scoring formula and threshold have been agreed in advance. No universal pass mark is assumed.
Acceptable variation or an observation that carries no penalty.
A limited issue that does not seriously undermine intended use.
An issue that seriously affects accuracy, clarity or usability.
An issue that makes content unfit for purpose or creates serious risk.
Evidence you can act on
We tailor reporting to your procurement, publishing or vendor-management needs.
Original segment identifiers, source and target excerpts, error category, severity and evidence-based explanations. Suggested corrections can be included in the agreed scope.
Scope, sampling assumptions, issue patterns, risk observations and recommended next steps, with a score or rating if agreed.
Consistent evaluation criteria for comparing batches, linguists or suppliers, with a clear explanation of comparability limitations.
Optional documented resolution of contested findings and an agreed final audit record.
How it works
Confirm languages, intended use, content sensitivity, methodology, evaluator expertise and any pass criteria.
Decide whether to assess the complete content or an explicitly defined sample; record selection and limitations.
A qualified evaluator reviews source and target content and logs substantiated issues by type and severity.
Check annotations for internal consistency and prepare a summary; calculate a score only if agreed.
Provide the error log and report. Separate remediation, re-evaluation or recurring audits can be arranged.
Frequently asked questions
LQA evaluates and documents the quality of an existing translation against an agreed framework. Proofreading and editing primarily aim to improve or correct the text. Corrective work can be quoted separately after an LQA audit.
Yes. We can arrange independent, vendor-neutral evaluations using a common assessment brief. Any potential conflicts of interest are considered when selecting reviewers.
Yes. Human evaluation can be applied to raw MT, post-edited MT and AI-assisted translation, with categories and severity definitions adapted to the content and risks.
Our evaluation approach can be informed by ISO 5060:2024 and use an agreed MQM-based error taxonomy. The exact methodology, scoring formula and deliverables are specified for each project. References to these frameworks are not claims of certification.
If required, yes, provided the sampling plan, severity weights, score formula and pass threshold are agreed before evaluation. A sample cannot guarantee that an unreviewed translation is error-free.
Corrective editing, post-editing or full revision can be ordered separately. An LQA audit itself focuses on objective evaluation and reporting.
Ideally, provide the source and target texts, language pairs, approximate word count, content type, intended use, deadline and any reference materials or quality requirements. Please arrange secure transfer before sharing confidential or sensitive files.
Independent evaluation. Clear findings.
Tell us which languages, content types and translation outputs you need evaluated. We will recommend a suitable sampling plan, assessment framework and reporting format.
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