IDEAS home Printed from https://ideas.repec.org/a/igg/jea000/v12y2020i1p42-51.html
   My bibliography  Save this article

Document Alignment for Generation of English-Punjabi Comparable Corpora from Wikipedia

Author

Listed:
  • Vishal Goyal

    (Punjabi University, India)

  • Ajit Kumar

    (Multani Mal Modi College, India)

  • Manpreet Singh Lehal

    (Punjabi University)

Abstract

Comparable corpora come as an alternative to parallel corpora for the languages where the parallel corpora is scarce. The efficiency of the models trained on comparable corpora is comparatively less to that of the parallel corpora however it helps to compensate much to the machine translation. In this article, the authors have explored Wikipedia as a potential source and delineated the process of alignment of documents which will be further used for the extraction of parallel data. The parallel data thus extracted will help to enhance the performance of Statistical Machine translation.

Suggested Citation

  • Vishal Goyal & Ajit Kumar & Manpreet Singh Lehal, 2020. "Document Alignment for Generation of English-Punjabi Comparable Corpora from Wikipedia," International Journal of E-Adoption (IJEA), IGI Global, vol. 12(1), pages 42-51, January.
  • Handle: RePEc:igg:jea000:v:12:y:2020:i:1:p:42-51
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEA.2020010104
    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:jea000:v:12:y:2020:i:1:p:42-51. 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.