IDEAS home Printed from https://ideas.repec.org/a/ids/ijilea/v26y2019i2p115-130.html
   My bibliography  Save this article

AccurIT: a prototype of a machine translation engine for English to Arabic translation

Author

Listed:
  • Basem Alkazemi
  • Mohammed Nour
  • Atif Naseer
  • Ammar Natto
  • Grami Grami

Abstract

Current machine translators have reached an unprecedented level of sophistication in dealing with not only isolated words, but also longer sentences and paragraphs. Despite the advances achieved in this field, several challenges remain to be resolved for machine translation (MT) to be on par with professional human translation, including the quality of grammar and context accuracy, pragmatics, relevance, choice of vocabulary and ability to translate large files effectively based on this list's criteria. Another extremely problematic area that we have observed is incorrect literal translation of English phrases, proverbs, idioms, figurative speech and clichés, which proves to be an issue with most current translation programs, even ones built using a phrase-based approach. Therefore, this study's objective was to develop a prototype of an English-Arabic MT engine, AccurIT, to address MTs' English-to-Arabic translation-accuracy issues in general. We compared the results of our tool against Google and Azure Translation Hub based on some excerpts from the legal realm to demonstrate AccurIT's efficacy, and the results are promising.

Suggested Citation

  • Basem Alkazemi & Mohammed Nour & Atif Naseer & Ammar Natto & Grami Grami, 2019. "AccurIT: a prototype of a machine translation engine for English to Arabic translation," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 26(2), pages 115-130.
    • Handle: RePEc:ids:ijilea:v:26:y:2019:i:2:p:115-130
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=101274
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijilea:v:26:y:2019:i:2:p:115-130. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=57 .

    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.