Welcome to the trial version of the third version of the International Corpus of Learner English (ICLE). The ICLE is a corpus of writing by upper intermediate to advanced learners of English as a foreign language. The corpus offers rich metadata on each of the texts included in the corpus, pertaining to both the learners (e.g. mother tongue, age, time spent in an English-speaking country) and the writing tasks (e.g. topic, use of reference tools, conditions of production of the text). The corpus collection was initiated by the Centre for English Corpus Linguistics at the University of Louvain and is the result of close collaboration with a large number of partner universities around the world.
The trial version allows you to try all the functionalities of the interface on the basis of a limited number of texts (100). The only functionality that is disactivated is the text download functionality. The full version, which contains over 9,000 texts (5+ million words) written by learners from 26 mother tongue backgrounds, was released in May 2020.
We advise you to watch the 'getting started' videos open_in_new, which provides an overview of the main functionalities afforded by the interface.
chevron_rightSingle and multi-user licences for non-profit educational purposes can be ordered at https://www.i6doc.com/ open_in_new.
Once your order has been validated, you will receive at the email address you have indicated as many links as there are user accounts. Thanks to these links, you will be able to create a login and a password for each user account. Note that the password for each account can only be changed by the person whose email address has been provided.
chevron_rightFor site licences, contact email@example.com. This option is only available to institutions that are members of the eduGAIN interfederation (https://edugain.org/), using the Shibboleth log-in system.
This page allows you to select the texts that you want to include in your corpus search. It gives you the opportunity to sort and filter the texts in the corpus according to a range of variables and (de)select any texts individually.