Auditing Maltese Website Localization Quality
A business added a Maltese-language version of its website at some point — sometimes translated by an agency, sometimes machine-translated and lightly edited, sometimes contributed piecemeal by different staff members over several years — and nobody has ever gone back to check the whole site as one body of work. Register is inconsistent page to page, some pages still show an early machine-translation pass with obvious grammar errors nobody caught, and there's no single view of which pages are solid, which need a light edit, and which need a full retranslation.
STARTING PRICE
From €99
Starter tier · Single-workflow automation, one core integration, fast turnaround.
Get a quote →Saves roughly 1-3 days of manual page-by-page review, depending on site size.
How the automation works
We crawl the Maltese-language pages of your website and audit each one for translation quality, grammar accuracy and register consistency against the rest of the site, producing a prioritized list rather than a vague 'some pages need work' impression. Each page gets flagged for specific issues — Semitic verb-pattern conjugation errors, incorrect loanword plural formation, English syntax calques that read as translated-not-written, register mismatches where one page reads formally and the next reads casually for no apparent reason — with a severity rating so a business can triage a full retranslation of the worst pages against a lighter proofreading pass on pages that are mostly fine. The audit is a diagnostic, not a fix: it tells you exactly where the site's Maltese content actually stands.
Process flow
- 01
Site crawl for Maltese-language pages trigger
The website is crawled to identify all pages presented in Maltese, including partial-Maltese pages and pages that switch between languages inconsistently.
- 02
Scan for known Maltese error patterns ai
Each page is checked for the specific, recurring error patterns generic translation and light editing tend to leave behind — wrong verb conjugation for the root class, incorrect plural formation, literal English calques that don't read as natural Maltese syntax.
- 03
Check register consistency across pages ai
Pages are compared against each other for register consistency — formal, business-appropriate Maltese versus casual phrasing — flagging pages that read inconsistently with the rest of the site's established voice.
- 04
Rank pages by severity and priority ai
Flagged pages are ranked from 'needs full retranslation' to 'needs a light proofreading pass' to 'reads clean,' giving a prioritized action list rather than an undifferentiated flag on everything.
- 05
Audit report delivered output
A structured report lists every audited page, its specific flagged issues and its priority tier, ready to hand to a translator or reviewer for remediation.
Inputs
- Website URL / sitemap
- Access to Maltese-language pages
- Reference for existing brand voice/register (if defined)
- Any known problem pages to prioritize
Outputs
- Prioritized list of pages by translation quality issue severity
- Specific flagged grammar and register issues per page
- Register consistency report across the site
- Actionable remediation priority list
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- A page can pass a generic spelling and grammar checker while still containing Semitic verb-pattern conjugation errors that a checker not specifically built for Maltese's grammatical structure won't catch — most off-the-shelf grammar tools don't have real Maltese-language models, so relying on a generic checker's clean result as proof of quality is a common and costly false confidence.
- Register inconsistency across a site often accumulates invisibly because each page was translated or edited independently over time by different people — one page reading in a formal, business-register Maltese and the neighboring page reading in casual, colloquial Maltese isn't a single obvious error on either page individually, it only becomes visible when the pages are compared against each other as a set.
- A page that's mostly fine Maltese but retains a few English technical terms isn't automatically an error — code-switching for technical or product terminology is normal in real Maltese usage, and an audit that flags every English word on a Maltese page as a translation gap produces a noisy, low-trust report that treats a legitimate stylistic choice as a defect.
- Older machine-translated pages sometimes read fluently enough on a fast skim that the audit is the first time anyone actually notices the underlying grammar is wrong — a business assuming 'it looks fine to me' from a non-fluent or non-native skim is exactly the blind spot this kind of structured audit exists to catch.
Frequently asked questions
Does this audit fix the issues it finds, or just identify them?
It's a diagnostic — it identifies and prioritizes issues so you know exactly what needs a full retranslation versus a light edit, rather than fixing content directly, since remediation decisions (which pages matter most, what budget to allocate) are a business call.
Will it flag every English word on a Maltese page as an error?
No — code-switching to English for technical or product terminology is normal, legitimate usage in Maltese, and the audit distinguishes that from an actual translation gap or grammar error rather than flagging every mixed-language instance indiscriminately.
Can generic tools like standard grammar checkers do this instead?
Most generic grammar checkers don't have a real model for Maltese's specific grammatical structure — Semitic verb conjugation, broken plurals — so they'll miss the error patterns that are most common and most visible to a native Maltese reader.
How is the severity ranking determined?
Pages are ranked by the density and type of flagged issues — a page with several conjugation and calque errors ranks for full retranslation, while a page with only minor, isolated issues ranks for a light proofreading pass.