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Constructing a Collocation Learning System from the Wikipedia Corpus

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  • Shaoqun Wu

    (Computer Science Department, University of Waikato, Hamilton, New Zealand)

  • Liang Li

    (University of Waikato, Hamilton, New Zealand)

  • Ian H. Witten

    (University of Waikato, Hamilton, New Zealand)

  • Alex Yu

    (Centre for Business, Information Technology and Enterprise (CBITE), Waikato Institute of Technology, Hamilton, New Zealand)

Abstract

The importance of collocations for success in language learning is widely recognized. Concordancers, originally designed for linguists, are among the most popular tools for students to obtain, organize, and study collocations derived from corpora. This paper describes the design and development of a collocation learning system that is built from Wikipedia text and provides language learners with an easy-to-use interface for looking up collocations of any word that occurs in Wikipedia. The use of this corpus exposes learners to contemporary, content-related text, and enables them to search for semantically related words for a given topic. The system organizes collocations by syntactic pattern, sorts them by frequency, and links them to their original context. The paper includes a practical user guide to illustrate how to use the system as a language aid to facilitate academic writing.

Suggested Citation

  • Shaoqun Wu & Liang Li & Ian H. Witten & Alex Yu, 2016. "Constructing a Collocation Learning System from the Wikipedia Corpus," International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), IGI Global Scientific Publishing, vol. 6(3), pages 18-35, July.
    • Handle: RePEc:igg:jcallt:v:6:y:2016:i:3:p:18-35
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