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McAlpine EFLAW Readability

Puntuación EFLAW (English as a Foreign Language). Diseñada por Rachel McAlpine para evaluar texto para lectores ESL y audiencias globales. Más bajo es más fácil.

No diseñado para Español

Esta herramienta fue calibrada para inglés (y algunos idiomas relacionados). Los resultados en Español podrían no ser significativos.

Cuándo usarlo

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.

Cómo se compara

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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Cómo funciona

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.

Fórmula

Preguntas frecuentes

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.

Ejemplo práctico

Entrada

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

Salida

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.

Errores comunes

  • 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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