Abstract
Learner corpora present an option to inform, supplement and advance the way language proficiency is operationalized and assessed, and may also be used in data-driven approaches to the assessment of writing proficiency that are largely independent of human rating. The aim of this contribution is twofold: first, to introduce a new Language-for-Specific-Purposes learner corpus, the Corpus of Academic Learner English (CALE), currently being compiled for the study of academic learner writing; and second, to illustrate how the CALE is useful in a text-centered, corpus-driven approach to the assessment of academic writing to achieve a higher degree of reliability in assessing language proficiency.
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