Consistent terminology across markets.

Linguistic quality assurance (LQA) built on the MQM (Multidimensional Quality Metrics) framework, with glossary governance and validation, so multilingual teams get a quality standard they can measure.

MQM-based LQA, terminology governance, linguistic validation, and content auditing for multilingual programs that need measurement, not guesswork.

110,000+ native linguists and AI data contributors · Founder-reported combined network · 4 Oct 2026
300+ languages across active service lines
4,500+ dialects and regional variants
110+ rare, indigenous and low-resource languages
1,000+ organizations served since 2015
Linguistic quality operations board with MQM scoring, reviewer calibration, and multilingual terminology governance.

Linguistic QA workflow

Measurement before rework Multilingual quality teams need reviewer calibration, terminology governance, and validation structures that hold across multiple markets.
Risk focus
Terminology drift and inconsistent reviewer judgment
Best fit
LQA, validation, glossary control, and audit programs
Review path
Calibrate, score, audit, and feed findings back in

When teams come to us

What to discuss before work begins.

These are the risks a buyer needs resolved before approving scope, team shape, and review depth.

01

Terminology inconsistency across markets

— product terms drift between translators, and different reviewers apply different glossaries to the same content

02

LQA gaps causing rework

— delivered content fails quality audits, but the scoring criteria were never calibrated across reviewers

03

Linguistic validation is ad hoc

— in-market testing happens after launch instead of before, and bugs surface as user complaints

04

No structured evaluation framework

— quality is judged subjectively, with no MQM-based scoring or inter-annotator agreement tracking

Who this is for

For your team.

Localization Manager
You need a partner who can run structured LQA programs with calibrated reviewers and standardized scoring, not ad hoc quality spot-checks.
QA Lead / Linguistic Quality Manager
You need MQM-based error typologies, inter-annotator agreement monitoring, and corrective action workflows that feed back into production.
Product Manager (Internationalization)
You need linguistic validation and in-context testing before launch to catch UI truncation, cultural mismatches, and functional string errors.
VP of Internationalization / Global Content
You need terminology governance that scales across 20+ markets with enforced glossaries, audit trails, and measurable consistency metrics.

Linguistic workflow

How language quality is evaluated.

Buyers usually need to see the scoring model, reviewer calibration, and corrective-action path before they trust a multilingual quality program.

A calibration cockpit makes the review model legible: what gets scored, how reviewers align, and how findings change the next batch.
  1. 01

    Define the framework

    Quality categories, pass thresholds, and terminology rules are locked before live scoring begins.

  2. 02

    Calibrate the reviewers

    Reviewer agreement is checked before batches scale, so the score reflects a system instead of personal preference.

  3. 03

    Convert findings into action

    The output is a prioritized correction path for teams, vendors, or language owners, with the score acting as the entry point.

  • MQM scoring
  • IAA checks
  • Corrective actions

Advanced linguistic services we deliver

What the work includes.

These are the components that decide review depth and acceptance. The brief should name each one up front.

Linguistic Quality Assurance (LQA)
Structured LQA using MQM (Multidimensional Quality Metrics) error typology. Reviewers are calibrated against gold-standard samples before scoring begins. Error categories — accuracy, fluency, terminology, style, locale conventions — are weighted by content type and client priority. Scores are tracked per linguist, per language, and per batch.
Terminology Management and Glossary Creation
Glossary creation, validation, and enforcement for domains with no existing reference material or for programs where terminology has drifted across vendors. Includes term extraction, domain-expert validation, do-not-translate lists, and TMS integration where supported. For rare languages, terminology is built from scratch with community-level subject-matter experts.
Linguistic Validation and Testing
In-context review of translated UI strings, app content, and software interfaces. Catches truncation, cultural mismatches, placeholder errors, and formatting issues that standard translation review misses. Validation covers functional correctness, not linguistic accuracy alone.
Language Assessment and Evaluation
Structured evaluation of linguist competence, translation quality, or model output accuracy. Includes test design, rubric creation, scorer calibration, and inter-annotator agreement measurement. Used for vendor qualification, linguist onboarding, and AI output benchmarking.
Multilingual Content Auditing
Systematic review of existing multilingual content assets for terminology consistency, style adherence, completeness, and accuracy. Identifies gaps, contradictions, and outdated translations across language versions. Delivers prioritized fix lists with severity scoring.

Specification

Define the job before you count volume.

Use the table to compare content type, review focus, and output shape in concrete terms.

Typical workLQA, terminology management, linguistic validation, language assessment, and multilingual content auditing
Review focusScoring framework setup, reviewer calibration, glossary control, issue clustering, and documented corrective action
Strongest fitLocalization teams, language QA owners, product teams, and multilingual programs with measurable quality requirements
How the work runsFramework-led review in structured batches with score visibility and feedback loops into the next cycle

Quality method

Show the scoring logic.

The important question is not whether review happens. It is whether the scoring model, escalation path, and follow-through stay visible once batches start moving.

Pre-production alignment

Review scope, language coverage, scoring logic, glossary expectations, and sample material are agreed before live scoring starts.

Review while work is live

Sampling, reviewer checks, senior adjudication, and issue clustering stay active while the batches move.

Corrective follow-through

Findings are turned into prioritized actions, glossary updates, reviewer feedback, and documented next-step controls.

Plan your project

Languages, services and the details we need.

Explore relevant work, then tell us which markets and languages your project needs.

Language examples

Language examples

  • Pashto translation services
  • Dari translation services
  • Uyghur translation services
  • Tigrinya translation services
  • Santali translation services
  • Sami translation services

Your brief

Tell us about these details.

  • Typical work
  • Review focus
  • Best fit

case evidence

Related advanced linguistic services projects.

Explore related projects and their results.

AI evaluationRare-language evaluation set for a constrained AI program.

Rare-language evaluation set

The challenge. A technology company needed evaluation work in languages where qualified translator pools can be extremely small.

What we did. MoniSa assigned separate evaluation reviewers, built contingency backup per language, and tracked delivery by language cluster.

The result. The evaluation set moved through controlled delivery with language-specific backup coverage.

Open full case

Recognise your own project in one of these?

Send the language list and volume
Translation and LSP supportRare-language TEP surge across multiple languages and scripts.

Rare-language TEP surge

Problem. A technology buyer needed translation, editing and proofreading across rare languages and scripts on a tight schedule.

Action. MoniSa organized the work by language and script, completed parallel batches and included senior review.

Result. The buyer received reviewed translations with a clear route for questions and corrections.

Open full case
AI evaluationGenAI prompt safety review across multilingual rating lanes.

Prompt safety evaluation

Problem. AI platforms needed language-aware safety evaluation across many pairs where cultural harm and bias do not read the same way.

Action. MoniSa deployed evaluator cohorts, calibration sets, and drift checks across rolling rating batches.

Result. The client received multilingual safety data that engineering teams could use to refine model behavior.

Open full case

Buyer questions

Common questions.

What is linguistic quality assurance in this context?

Here it means structured language quality review with an agreed scoring model, calibrated reviewers, and corrective actions that feed back into the next delivery cycle.

When does a team need advanced linguistic services instead of standard review?

Usually when terminology drift, reviewer inconsistency, launch validation, or audit exposure is already creating rework across markets.

Can MoniSa help build terminology rules from zero?

Yes. The work can start with source-content review, draft term candidates, validation with the client-side owner, and a glossary or do-not-translate set that stays active during delivery.

What should go into the first brief for this kind of work?

Send the content type, languages, current quality issue, scoring or review expectations, launch timing, and any glossary or reference files already in use.

How should buyers evaluate proof on linguistic quality work?

Ask for evidence of calibration, scoring logic, terminology governance, validation findings, and what changed in the workflow after issues were found.

What happens if you cannot staff one of my language pairs?

For the proposed project, ask for pair-by-pair availability or a recruitment window in writing before agreeing a date. Define qualification and pilot approval for any new contributor before live work. A coverage claim should be checkable before the scope is signed.

Advanced linguistic services brief

Send the detail that changes the plan.

Tell us what you need translated or reviewed, the languages, the deadline and any requirements your team needs us to meet.

Send a brief

Do not paste raw outputs, source records, transcripts, third-party personal data or confidential files here. We will agree a transfer path after scoping.

Required. We will reply about your project.

Scope a project Call