IDEAS home Printed from https://ideas.repec.org/a/igg/jcallt/v7y2017i2p22-39.html
   My bibliography  Save this article

Helping Language Learners Put Concordance Data in Context: Concordance Cards in The Prime Machine

Author

Listed:
  • Stephen Jeaco

    (Xi'an Jiaotong-Liverpool University, Suzhou, China)

Abstract

While corpus tools provide several different ways to display relationships between words within texts and across texts, the main format for viewing concordance data is Key Word in Context (KWIC). In Computer Aided Language Learning, concordance lines in KWIC format may be accessed inside a concordancer or within other software through links to corpus data. Language learners can and do gain useful insights from exploring concordance data in KWIC format, but some kinds of information may be harder to see, some patterning of use may not be so obvious, and reading of complete examples may not be very easy. The Prime Machine was developed for language learners and aims to make corpus data easier to access and interpret. This paper introduces the design of the Cards Tab, which provides an additional way of viewing concordance data. Results from three evaluations with language learners and teachers show positive attitudes towards this display.

Suggested Citation

  • Stephen Jeaco, 2017. "Helping Language Learners Put Concordance Data in Context: Concordance Cards in The Prime Machine," International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), IGI Global, vol. 7(2), pages 22-39, April.
    • Handle: RePEc:igg:jcallt:v:7:y:2017:i:2:p:22-39
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCALLT.2017040102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jcallt:v:7:y:2017:i:2:p:22-39. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.