This article outlines the current state of and recent developments in the use of corpora for language assessment and considers future directions with a special focus on computational methodology. Because corpora began to make inroads into language assessment in the 1990s, test developers have increasingly used them as a reference resource to become well versed in terms of the linguistic characteristics of expert and novice speakers' usage and identify the test construct. In regard to developing and validating language tests, large representative corpora, learner corpora, and specialized corpora have been actively used, as these corpora have made it possible to systematically compare the linguistic features associated with expert users with those found in learner language. Recent advances in computational approaches to assessment can facilitate this comparison to a great extent using technologies in automated essay scoring and learner language analysis. As an emerging area in the field of language assessment, corpus-based research should extend to less explored areas including compilation and longitudinal analysis of developmental corpora, fine-grained microanalysis of learner's development, and assessment attuned to individual learners who use different linguistic varieties.