ABSTRACT
The IRF pattern is extremely common in any spoken corpus of everyday interaction. Traditionally, spoken fluency is measured by considering features such as: Coherence, Hesitancy, Long turns, Flexibility and Automaticity. However, when the author look at a corpus, they find that native speakers also hesitate a lot, are not always coherent, frequently use shorter turns, and may use a fairly narrow range of vocabulary. Learning to recognize and use language chunks can help learners to become more fluent. The description and survey will focus on two parts, the first part is language learning materials and the second one is computer-assisted language learning. This chapter considers how corpus-based insights might be incorporated into a syllabus and used to underpin teaching materials. Specifically, it has seen how spoken and written corpora have much to offer in terms of helping learners improve their interactional competence and language awareness.
