Improving Arabic Instant Machine Translation: The Case of Arabic Triangle of Language
Tala M. Albashir1, Hussien Alzoubi2 & Mohammad Albatainih2 Show affiliations
- Al-Ahliyya Amman University, Jordan
- Yarmouk University, Jordan
Journal of Computer Science, Volume 16, Issue 7, pp. 956–965 · 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.
Licence and reuse
Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
How to reuse this articleResponses (0)
About this article
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
- Licence
- CC BY 3.0
- Issue
- Volume 16, Issue 7
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
