Open Cambridge Learner Corpus (Uncoded)

The Open Cambridge Learner Corpus (OpenCLC) has been compiled collaboratively by Cambridge University Press and Cambridge English Language Assessment.

The OpenCLC is a balanced subset of the Cambridge Learner Corpus, which reflects the genre of exam writing by learners of English. The corpus contains 2,700,000 words of over 10,000 student responses taken from the Cambridge English Language Assessment suite of exams – FCE, CAE and CPE – and includes data from a range of L1s. The responses are students from more than 60 countries speaking 7 different first languages.

Corpus text types store detailed information about examined student. These enable to search through a specific part of the corpus, e.g.  the first language of students, their nationality or age. It means that the corpus can be used to find out how a specific group of students express and create answers at different levels in English exams.

Please note that views expressed in the OpenCLC are the views of individual exam candidates and do not represent the views of Cambridge University Press or Cambridge English Language Assessment.


The corpus was tagged and lemmatized using TreeTagger with
tokenization and other processing carried out by Sketch Engine English processing pipeline v. 2. See the tagset summary.


The corpus is accessible to all users with a subscription plan and site licence members (not to trial users).

You may publish the results of research that uses the OpenCLC. In any such publication you may reproduce excerpts of the text from the OpenCLC only as permitted under UK copyright law and “fair dealing”. You must clearly identify any such excerpt as originating in the OpenCLC, as owned by Cambridge University Press and Cambridge English Language Assessment.


If you use the OpenCLC in your research, presentation or publication of any type, please add this reference:

OpenCLC (v1). 2017. Distributed by Lexical Computing Limited on behalf of Cambridge University Press and Cambridge English Language Assessment.

Text types in the corpus

ALTE level


CEFR level exam

CEFR level student performance

Education level

Exam description

Exam score

Exam year

First language

Full time



Other exams taken


Preparation course

Previous attempts

Question ID

Reason for EFL



Years studying English