CERF MATRIX

Dear colleagues,

The European Centre for Modern Languages (ECML) of the Council of Europe is pleased to announce the completion in both English and French of its CEFR-QualiMatrix resource website “A quality assurance matrix for CEFR use” (www.ecml.at/CEFRqualitymatrix), an output of the ECML programme “Languages at the heart of learning” (2016-2019).

The CEFR-QualiMatrix supports teachers and other language education professionals in engaging in curriculum renewal supported by the CEFR action-oriented approach vision of teaching and learning.

Alongside the matrix tool, the website provides a rich collection of resources and promising practices that can be used by different stakeholders at the levels of policy, curriculum development, teaching and assessment.

We would be grateful if you could use your networks to spread the word about this new publication. We believe that particularly in these challenging times, the resources and ideas provided on this platform will give professionals inspiration and help them foster effective language learning.

All you need to do is forward this email, deleting the text of the message before you press send. Your recipients will then only receive the embedded image.

Many thanks in advance,

Kind regards,

Sarah BRESLIN
Executive Director 

https://www.ecml.at/ECML-Programme/Programme2016-2019/QualityassuranceandimplementationoftheCEFR/tabid/1870/language/en-GB/Default.aspx

TEXT ANALYZER ACCORDING TO CERF LEVELS

What does the Text Analyzer do?

The Text Analyzer can rate the difficulty level of a text according to the Common European Framework, or CEFR Levels.

ESL teachers may wish to use this tool to:

• determine the approximate level of proficiency that the text is suitable for
• generate a suggested vocabulary list
• compare the difficulty levels of two texts
• get meanings for the suggested vocabulary list (via ninjawords.com)

How to use the Text Analyzer

Simply copy and paste your text in the box above and click SUBMIT. You will get more accurate results for texts of over 50 or so words.

How does the Text Analyzer work?

Each word in the submitted text is compared to a list of the 10,000 most commonly used words in English. Based on each word's position on the list and the average word and sentence length, an algorithm is used to rate the difficulty of the text.

You can expect slightly different results compared to the Flesch-Kincaid Index. The Flesch-Kincaid index mainly looks at sentence length and word length, whereas this tool focuses on complexity of language.

What is word complexity?

This is the average position of the words in the list of 10,000 most frequent words in English. Hence, the lower the score, the easier the text and the higher the score, the more difficult.

http://www.roadtogrammar.com/textanalysis/