Research

Documentation and research findings

Why Flesch-Kincaid Falls Short for CEFR Classification

Published: 2024-12-26 | Authors: CEFR.AI

Can native-speaker readability metrics really predict CEFR levels? Many online ESL/EFL text analysis tools have defaulted to using the Flesch-Kincaid readability index, simply because no specialized algorithms exist for language learners. Using 59 graded texts, we systematically test whether this widely-adopted solution actually works. While our investigation does reveal a...

The Power of Language Frameworks

Published: 2023-07-24 | Authors: CEFR.AI

Effective language teaching requires matching learners with texts at the right level - challenging enough to promote growth, yet accessible enough to avoid frustration. When it comes to understanding how difficult a text is for language learners, two frameworks stand out: the Common European Framework of Reference for Languages (CEFR)...