IDEAS home Printed from https://ideas.repec.org/a/igg/jse000/v7y2016i2p62-77.html
   My bibliography  Save this article

Text to Sign Language Translation System: A Review of Literature

Author

Listed:
  • Lalit Goyal

    (DAV College, Jalandhar, India)

  • Vishal Goyal

    (Punjabi University, Patiala, India)

Abstract

Many machine translation systems for spoken languages are available, but the translation system between the spoken and Sign Language are limited. The translation from Text to Sign Language is different from the translation between spoken languages because the Sign Language is visual spatial language which uses hands, arms, face, and head and body postures for communication in three dimensions. The translation from text to Sign Language is complex as the grammar rules for Sign Language are not standardized. Still a number of approaches have been used for translating the Text to Sign Language in which the input is the text and output is in the form of pre-recorded videos or the animated character generated by computer (Avatar). This paper reviews the research carried out for automatic translation from Text to the Sign Language.

Suggested Citation

  • Lalit Goyal & Vishal Goyal, 2016. "Text to Sign Language Translation System: A Review of Literature," International Journal of Synthetic Emotions (IJSE), IGI Global, vol. 7(2), pages 62-77, July.
  • Handle: RePEc:igg:jse000:v:7:y:2016:i:2:p:62-77
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSE.2016070104
    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:jse000:v:7:y:2016:i:2:p:62-77. 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.