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McAlpine EFLAW Readability

EFLAW-score (English as a Foreign Language). Ontworpen door Rachel McAlpine om tekst te beoordelen voor ESL-lezers en wereldwijde doelgroepen. Lager = makkelijker.

Niet ontworpen voor Nederlands

Deze tool is gekalibreerd voor Engels (en enkele verwante talen). Resultaten in Nederlands zijn waarschijnlijk niet betekenisvol.

Wanneer gebruiken

Use McAlpine EFLAW when writing for non-native English readers — product copy for global audiences, ESL teaching material, simplified news, plain-language guidelines. It rewards short common words, which is exactly what ESL readers need.

Vergelijking

EFLAW is unique in rewarding short common words ("the", "and", "of"). Flesch-Kincaid ignores word familiarity entirely. For ESL audiences, EFLAW is the more honest metric.

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Zo werkt het

McAlpine's EFLAW (English as a Foreign Language) score uses one simple formula: (words + mini-words) / sentences, where mini-words have 3 or fewer letters.

It rewards short common words (the, of, an, to, it) — exactly the words ESL readers find easiest.

Bands: ≤20 very easy, 20-24 easy, 25-28 moderate, 29+ difficult. Aim for ≤25 for global business audiences.

Formule

Veelgestelde vragen

Who is EFLAW for?

Writers targeting non-native English readers — global product copy, ESL teaching material, simplified news, plain-language guidelines.

What's a good EFLAW score?

Under 25 for global business audiences. Under 20 is very easy and suitable for ESL beginners.

Why count "mini-words"?

Common short words (the, of, an, to, it) are what ESL readers find easiest. Counting them gives the formula a way to reward genuinely simple writing.

Voorbeeld

Invoer

"To get to the shop, walk down the road and turn right at the end."

Uitvoer

EFLAW 17.0 — very easy.

Fifteen words plus eight mini-words (≤3 letters) in one sentence: (15 + 8) / 1 = 23. Wait — that's 23 which is "easy" not "very easy". For very easy, aim under 20.

Veelgemaakte fouten

  • EFLAW is sentence-bound — bullet lists artificially shorten the score.
  • It doesn't penalize unusual long words by frequency, only by length.
  • Not validated outside English.
  • A short sample with one long sentence will mislead.

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