Data-Driven Language Learning Glossary

Revision as of 16:05, 9 December 2009 by Ben Blanchard (talk | contribs)
  • Corpus - A collection of authentic texts or other resources.
  • Concordancer - An application that operates on a corpus or other collection of texts and outputs information about a search term, often in the form of a list of KWICs.
  • Data-driven learning - A type of learning based on the idea of the learned being exposed to, and interacting with, a large quantity if authentic input.
  • KWIC - "Keyword in context", a common format for concordancer output, in which a keyword (or other search string) from a given corpus is presented along with a certain quantity of the surrounding text in its original position.
  • Learner-centered - An orientation of learning design which considers as most important the experiences of the learner, rather than the teacher, teaching materials or context of learning.
  • Authentic input - Material used in learning that consists of examples of language use in the "real world", as opposed to contrived or textbook examples that were created for the purpose of language teaching.
  • Collocation - A grouping of more than one word in proximity that may occur in a corpus.

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