Research Article Open Access

Improving Arabic Instant Machine Translation: The Case of Arabic Triangle of Language

Tala M. Albashir1, Hussien Alzoubi2 and Mohammad Albatainih2
  • 1 Al-Ahliyya Amman University, Jordan
  • 2 Yarmouk University, Jordan
Journal of Computer Science
Volume 16 No. 7, 2020, 956-965

DOI: https://doi.org/10.3844/jcssp.2020.956.965

Submitted On: 30 September 2019
Published On: 20 July 2020

How to Cite: Albashir, T. M., Alzoubi, H. & Albatainih, M. (2020). Improving Arabic Instant Machine Translation: The Case of Arabic Triangle of Language. Journal of Computer Science, 16(7), 956-965. https://doi.org/10.3844/jcssp.2020.956.965

Abstract

Recently, instant translator applications would be a very useful applications when traveling especially when one knows little about the language of the country she/he is traveling to. Arabic to English instant translation has not yet been made available by most applications. In this Article, we attempt to provide mimic way of an application for instant Arabic to English translation. The system provides translation for Arabic Triangle of Language (ālmṯlṯātāllġwyh) which includes Arabic three words that are homographs. The process starts by capturing an image for a homograph using a mobile phone camera, after that the captured word is recognized, taking the diacritic markers into consideration, using an Arabic Optical Character Recognition (OCR). Finally, the system provides an English translation to the homograph. The researchers made use of Histograms of Oriented Gradients (HOG) features and a set of structural and geometrical features of Arabic word segmented and the SVM (multi class) classifier for classification, then providing the English meaning.

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Keywords

  • Machine Learning
  • Arabic Triangle of Lanuage (Ālmṯlṯātāllġwyh)
  • OCR
  • HOG and MCSVM