Learner corpus linguistics is a subfield of applied linguistics and corpus linguistics dedicated to the empirical investigation of second or foreign language learner language (interlanguage). It employs the computational analysis of large collections of authentic learner texts (learner corpora) to identify linguistic features, patterns, errors, and developmental trajectories, thereby providing data-driven insights for theories of language acquisition, pedagogical practices, and materials development.