IDEAS home Printed from https://ideas.repec.org/p/hig/wpaper/86-lng-2019.html
   My bibliography  Save this paper

Automatic Extraction Of Handshapes Inventory In Russian Sign Language

Author

Listed:
  • Anna G. Klezovich

    (National Research University Higher School of Economics)

Abstract

The Prosodic model of phonology (Brentari 1998) implies that all signs in any sign language have prosodic and inherent features. This dichotomy (movement feature vs. all other features) occurs to some extent in all phonological theories. The idea derives from Liddell & Johnson’s (1994) Movement-Hold model, where they proposed that movements can be in most cases derived from the knowledge of holds and their relative order, and that it is sufficient to describe in-detail only holds. Therefore, when it comes to describing phonemic inventories of a particular sign language, researchers focus on the building of separate phonemic inventories for each of the inherent features (or for features of holds) (Channon & Hulst 2011), namely handshape, location, and orientation (e.g. van der Kooij (2002) for Sign Language of the Netherlands (NGT) – only handshapes inventory, Nyst (2007) for Adamorobe Sign Language (AdaSL) – handshapes and locations inventories, etc.). This research focuses on handshapes inventory for Russian Sign Language (RSL). First, I automatically extract positions without movement (i.e. holds) using an algorithm developed on the basis of Borstell’s (2018) script. Then I manually annotate holds for the handshapes with respect to Hamburg Notation System (HamNoSys; Hanke 2004) and describe resulting phonetic handshapes inventory for RSL, comparing this data with other sign languages. The last but not the least, the enventory of phonemic hanshapes for RSL is derived from the phonetic one under van der Kooij’s (2002) model of phonology.

Suggested Citation

  • Anna G. Klezovich, 2019. "Automatic Extraction Of Handshapes Inventory In Russian Sign Language," HSE Working papers WP BRP 86/LNG/2019, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:86/lng/2019
    as

    Download full text from publisher

    File URL: https://wp.hse.ru/data/2019/12/06/1520817896/86LNG2019.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    phonetic inventory of handshapes; phonemic inventory of handshapes; Russian Sign Language; sign language phonology; holds extraction;
    All these keywords.

    JEL classification:

    • Z - Other Special Topics

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hig:wpaper:86/lng/2019. 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: Shamil Abdulaev or Shamil Abdulaev (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.html .

    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.