Abstract

Multimedia Corpus of Modern Spoken Kazakh Language (MCSKL) can offer a valuable resource for corpus-informed language teaching. Data-driven learning (DDL) approaches, such as the use of concordance lines, enable the development of pedagogical and teaching materials, including classroom activities and assessments, based on natural and spontaneous spoken language. By providing access to naturally occurring language, the corpus includes real-life expressions and regional variation. Exposure to such data supports learners in understanding how Kazakh is used in everyday communication. Furthermore, the MCSKL corpus allows educators to integrate authentic dialogues and conversational data into class materials. This enhances contextualized learning, where grammatical structures are acquired through meaningful usage rather than in isolation. Such an approach enhances learners’ ability to interpret and apply linguistic forms in real communicative settings. This paper demonstrates how data-driven methods can be effectively employed in teaching Kazakh grammar, arguing that authentic corpus examples significantly enhance the language learning experience.

The study is particularly relevant given the research gap in the area of corpus application in Kazakh language teaching. MCSKL helps address this gap by offering up-to-date, context and culture rich language materials. In contrast to traditional textbooks, which often rely on decontextualised examples, corpus-based materials demonstrate actual language use and are therefore more applicable to everyday communication. This authenticity not only improves linguistic competence but also increases learner engagement and motivation.