Computer-assisted Language Learning

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  • Title: Computer-assisted Language Learning: Collocation Analysis and Learning in Corpora
  • Author(s): Sau Kwan (Joan) Chung
  • Publisher: Common Ground Research Networks
  • Collection: Common Ground Research Networks
  • Series: The Learner
  • Journal Title: The International Journal of Literacies
  • Keywords: Collocation, Colligation, Co-occurrence, Context, Language Patterns
  • Volume: 24
  • Issue: 2
  • Year: 2017
  • ISSN: 2327-0136 (Print)
  • ISSN: 2327-266X (Online)
  • DOI: https://doi.org/10.18848/2327-0136/CGP/v24i02/33-44
  • Citation: Chung, Sau Kwan (Joan). 2017. "Computer-assisted Language Learning: Collocation Analysis and Learning in Corpora." The International Journal of Literacies 24 (2): 33-44. doi:10.18848/2327-0136/CGP/v24i02/33-44.
  • Extent: 12 pages

Abstract

Course books on collocation are rare, and collocation knowledge is neglected in most educational settings. Yet some research showed that collocation knowledge can help students to achieve native-like accuracy and diversity in language production. Corpus-based approaches are helpful tools for addressing a range of linguistic areas of American and British English. This study suggested that the role of corpora is consistent with effective language learning theories and then investigated collocation with two corpora—COCA and BNC—focusing on the word “habit.” The methodology includes frequency list, mutual information, and KWIC (concordance), where both quantitative and qualitative techniques are interpreted. Frequent collocates (adjective, verb, and preposition) with the word “habit” are shown.