Applying data-driven learning to the web

摘要: Data-driven learning typically involves the use of dedicated concordancers to explore linguistic corpora, which may require significant training if technology is not be an obstacle for teacher and learner alike. One possibility begin with corpus or concordancer, but find parallels what ‘ordinary’ users already do. This paper compares web a corpus, regular search engines concordancers, techniques used in searches data-driven learning. It also examines previous studies exploit ways incompatible DDL approach.