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McAlpine EFLAW Readability

EFLAW-Wert (English as a Foreign Language). Von Rachel McAlpine entwickelt, um Text für ESL-Leser und globale Zielgruppen zu bewerten. Niedriger ist einfacher.

Nicht für Deutsch ausgelegt

Dieses Tool wurde für Englisch (und einige verwandte Sprachen) kalibriert. Ergebnisse in Deutsch sind wahrscheinlich nicht aussagekräftig.

Wann verwenden

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.

Vergleich

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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So funktioniert es

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.

Formel

Häufige Fragen

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.

Beispiel

Eingabe

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

Ausgabe

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.

Häufige Fehler

  • 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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