Sketch Engine has a dedicated interface for working with learner corpora. The interface allows the user to search by the error itself, by the type of error, by the correction or by a combination of any of the aforementioned criteria.
In addition, any metadata included in the corpus can be used in the search and analysed to get information about how learner mistakes are distributed across age groups, proficiency levels, mother tongue, types of test tasks etc.
A correctly constructed learner corpus can provide answers to global questions such as:
- what is the most frequent type of error
- which age group makes most mistakes
as well as very specific questions:
- are mistakes related to verb tenses more frequent at B2 or C1 level?