Nigeria
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Research · Updated 14 October 2026
Free27 million sentences · August 2024 to September 2026 · No customer text was read

Research · The Edit Distance Report · 2026

Where your translation team's time matters most

We measured 27 million translated sentences. People change about 8% of AI suggestions and 15% of machine translation.

Download the report (PDF)Read it online
  • 27 million sentences measured
  • 14 sections
  • Published by wxrks, formerly Bureau Works

The person who runs localisation

Your role matters more than ever

Editing a suggestion is only 7% faster per word. The time comes back in the reading, because most of it is already right.

So the work moves to deciding what gets read, what goes to review, and what the memory keeps. Whoever runs that flow decides how much time AI saves.

You run the flow

  1. 1SuggestAI suggests from your memory and glossary. 84 of 100 go out as written.
  2. 2ReadYou choose what gets a full read. Smells flags where meaning may have drifted.
  3. 3ReviewYou choose which passes run. Keep them where the risk is.
  4. 4KeepYou decide what the memory and glossary keep. As they fill up, editing falls.

Analysis

How much people change

Context-sensitive AI suggestions8%
Plain machine translation15%
Context-sensitive suggestions draw on your translation memory, glossary and past corrections.

Analysis

Editing falls as the memory fills up

0%20%40%42%16%0510
Months since the account startedAverage share of words changed in new accounts.

Analysis

Never has 8% mattered so much

Half of all sentences go out untouched. The editing that's left is where a person's judgement changes the result.

How much people change, per 100 sentences
  • 52%Untouched
  • 13%Light, up to 5%
  • 8%Moderate, 5 to 15%
  • 13%Heavy, 15 to 50%
  • 14%Rewritten, more than half

It depends on the language

  1. Spanish (United States)9%
  2. Latin American Spanish13%
  3. Brazilian Portuguese14%
  4. Korean (South Korea)18%
  5. Spanish19%
  6. Japanese (Japan)20%
  7. Chinese (China)20%
  8. European Spanish21%
  9. Dutch (Netherlands)21%
  10. French (France)22%
  11. German (Germany)22%
  12. Canadian French24%
  13. Brazilian Portuguese → American English25%
  14. Italian (Italy)26%
Average share of words changed, by language pair, from English.

How we measured

Data
27 million sentences on the wxrks platform, August 2024 to September 2026.
Measure
Edit distance, the share of words a person changes before a sentence ships.
Privacy
Group numbers only. No client is named and no text was read.
Author
wxrks, formerly Bureau Works.

What the data does not show

  • It counts changes, not quality. Quality is the next study.
  • It is production data, not a lab test.
  • The learning curve follows accounts that stayed.

What's inside

  • 2024 against 2026
  • Editing by origin
  • The learning curve
  • Editing by language
  • Review and in-country review
  • Speed
  • Method and privacy

Questions

Is it free?

Yes. No form, no email.

What is edit distance?

The share of words a person changes in a suggestion before it ships. 0% means it was accepted as it came.

Can I share it?

Yes. Send the link or the PDF to anyone.

Bring it to your next planning meeting

Free, no form.

Download the report (PDF)Read it online

How we designed the Nigeria page

We read the country's most visited websites and its culture scores, and let both shape the Nigeria page.

  • Built like a news front pagelivescore.com and temu.com are among the most visited sites here, so the page has sections, a ranked list and dense columns.
  • In British English, with ‘you’Short sentences, numbers first and no hype, the way B2B software sites here write.
  • Written for the teamIndividualism is 20 here, so the page talks to the team and makes sharing easy.
  • Warm coloursIndulgence is 84 here, so the palette runs warm. Our own brand green stays out.

On the Nigeria page, culture scores are a regional estimate.See the research behind these pages