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
300+
languages across active service lines
4,500+
dialects and regional variants
110+
rare and indigenous language pairs
1,000+
brands served 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
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 zero For languages with no prior localization, the program built reusable terminology before translation began.
- Native-speaker pairs Ultra-low-resource languages were sourced with native-speaker pairs to hold accuracy where references were thin.
- Phase discipline From-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 selection came down to whether MoniSa could source and review the work at standard, and whether that would hold across the full run.
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.
Use these links to compare the case with the matching service, buyer guide, and language coverage.
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.
case evidence
Nearest proof pattern.
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Buyer questions
Ask the questions weak vendors avoid.
Short answers for buyers checking fit, coverage, quality method, and next-step readiness.
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.
Where should similar work go next?
Use Translation services for the delivery model, Rare-language translation buyer guide for buyer-side evaluation, and the contact page for a scoped brief.
Similar brief
Send the constraint behind the metric.
A useful follow-up to a case study names the language mix, review model, deadline, and what proof your buyer team needs before approval.
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 approvalCapability at a glance
The answers most briefs open by asking for.
Buyers rarely start with who we are. They start with a list of fields to fill. Here are ours, so the first email can be about the work instead.
- Languages and locales
- 300+ languages and 4,500+ dialects, quoted per locale rather than per language — because the dialect decides whether a dataset is usable, whether a market accepts a release, and which specialist the work goes to.
- Specialist network
- 110,000+ verified language specialists — linguists, annotators, and reviewers — plus voice talent and subtitlers, matched to the language, domain and task before assignment.
- Capacity and mobilisation
- Named availability confirmed per pair before scoping. Coverage is reported as staffed today or needing a recruitment window, in writing, before a launch date or release window is agreed.
- Sourcing constraints
- Specialists can be sourced against geographic, residency, locale and demographic requirements — including native-only, in-country, and speaker-diversity quotas where a data programme demands them.
- Deliverables and specs
- Work is delivered to the receiving specification: structured formats and schemas for data and annotation work, and timed-text, audio and platform conformance for media — subtitle reading speed, line limits, cue timing, channel and sample-rate requirements included.
- Comparable work
- 62 documented case studies stating the scope, the constraint that made it difficult, and the measured result — across AI data programmes, partner overflow, and media releases. 2,000+ AI projects delivered and 1,000+ brands served since 2015.
- Certifications
- ISO 9001:2015 quality management, ISO 27001:2022 information security, and ISO 17100 translation services — scoped to translation specifically, and stated that way rather than implied across every line.
- Commercial basis
- Quoted in the unit the work is measured in — per word, per audio hour, per approved hour, per finished minute, per batch, per item — with what the unit includes stated alongside it, whether the quote is for you or for a client you quote onward.
Need this against your own template? Convert your scope between units and check the deadline, then send the brief with your language list, content type, volume and deadline, and the acceptance criteria you will judge the output against — those four decide feasibility, and the reply addresses them directly.