Corpus Linguistics and Computational Approaches to Second Language Pragmatics: Insights for Applied Linguistics

Abstract

Corpus linguistics has transformed applied linguistics by providing empirical, data‑driven insights into language use. In the domain of Second Language Acquisition (SLA), corpus‑based approaches have enabled researchers to analyze learner language systematically, uncovering patterns of development, error, and pragmatic competence. This paper explores the intersection of corpus linguistics, computational methods, and L2 pragmatics, situating them within contemporary applied linguistics. It reviews foundational concepts in corpus linguistics, highlights computational tools such as natural language processing (NLP), and examines empirical studies of speech acts, politeness strategies, and discourse markers in learner corpora. Methodologically, the paper synthesizes qualitative and quantitative research, including corpus‑based pragmatics, computational annotation, and learner corpus analysis. The discussion emphasizes three strands: (1) the contribution of corpus linguistics to SLA theory, (2) the role of computational approaches in analyzing pragmatic development, and (3) pedagogical applications in TESOL. Ultimately, the paper argues that corpus‑based and computational approaches provide unparalleled insights into L2 pragmatics, enabling applied linguists to design pedagogies that are empirically grounded and technologically enhanced. By integrating corpus linguistics, computational tools, and pragmatic theory, TESOL practitioners can foster learners’ communicative competence in increasingly globalized and digital contexts.