Case study
Scripture localization across 22+ languages, several from zero.
A scripture publishing program needed content localized across 22+ languages, including more than 15 that had never been professionally localized, where the terminology itself had to be built before translation could begin.
22+ - 15+ never professionally localized - 1.15 million+ words across phases
110,000+
verified language specialists
Language specialist network
300+
languages across active service lines
4,500+
dialects and regional variants
110+
rare and indigenous language pairs
1,000+
projects delivered since 2015
Measured outcomes
Scripture localization from zero
Project overview
What landed, and what made it hard.
A scripture publishing program needed content localized across 22+ languages in multiple phases, from ultra-low-resource languages to a large Arabic scripture set.
Delivery snapshot
Scripture localization from zero
- Client
- confidential scripture publishing program (via partner)
- Service
- Translation and terminology development
- Languages
- 22+ languages
- Volume
- 1.15 million+ words across phases
Why this mattered
Outcome before process.
For more than 15 of those languages there was no professional localization history to build on, so terminology had to be created before translation could start.
The problem to solve
Why the work was difficult, and what MoniSa changed in-flight.
Many of the target languages, including Pacific and other ultra-low-resource languages, had no settled terminology for the content, which made consistency impossible to assume.
The challenge
The problem to solve
Many of the target languages, including Pacific and other ultra-low-resource languages, had no settled terminology for the content, which made consistency impossible to assume.
A single program then had to span those from-zero languages and a million-word Arabic scripture set without losing terminology discipline across either.
Operating response
What MoniSa changed
MoniSa built terminology foundations first for the languages that had none, then ran translation against those foundations across the broader multi-phase program.
- Terminology from zeroFor languages with no prior localization, the program built reusable terminology before translation began.
- Native-speaker pairsUltra-low-resource languages were sourced with native-speaker pairs to hold accuracy where references were thin.
- Phase disciplineFrom-zero languages and the large Arabic set ran as coordinated phases rather than one undifferentiated push.
Results
Measured outcomes from this engagement.
The program localized scripture content across 22+ languages and built reusable terminology for more than 15 languages that had never been professionally localized.
| Languages | 22+ |
|---|---|
| From-zero languages | 15+ never professionally localized |
| Volume | 1.15 million+ words across phases |
| Assets | Reusable terminology built for low-resource languages |
Selection logic
What protected the result.
The work needed from-zero terminology building for ultra-low-resource languages, beyond translation of well-supported ones.
Why the fit was real
Why the fit was real
The work needed from-zero terminology building for ultra-low-resource languages, beyond translation of well-supported ones.
What decided the result
What decided the result
Building terminology first is what made consistent localization possible for languages with no prior reference.
What buyers can reuse
What buyers can reuse
- For ultra-low-resource languages, localization starts by building the terminology that does not yet exist.
- Reusable terminology assets turned one-off translation into a foundation the program could keep using.
- The evidence keeps the client details confidential and attributes the metrics only to this engagement.
Continue from this proof
Useful comparisons for the same problem.
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Mapped context
Service and buyer context
Languages named
Examples referenced in the engagement.
- Pacific languages
- Ultra-low-resource languages
- Arabic scripture
More proof
Related proof
Compare this case with Cultural adaptation across indigenous languages and Rare-language translation at scale to judge whether the operating pattern fits your brief.
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What was delivered on this engagement?
Languages: 22+. From-zero languages: 15+ never professionally localized. Volume: 1.15 million+ words across phases
What control kept the work stable?
Building terminology first is what made consistent localization possible for languages with no prior reference.
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Production-ready brief
01Closest matching challenge from this case02Language pair, dialect, and script coverage03Volume, cadence, or hours to deliver04Reviewer model and acceptance criteria05Security or platform constraints06Proof needed for stakeholder approval