TY - JOUR
T1 - Improving arabic instant machine translation
T2 - The case of arabic triangle of language
AU - Albashir, Tala M.
AU - Alzoubi, Hussien
AU - Albatainih, Mohammad
N1 - Publisher Copyright:
© 2020 Tala M. Albashir, Hussien Alzoubi and Mohammad Albatainih.
PY - 2020
Y1 - 2020
N2 - 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 (almtltatallgwyh) 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.
AB - 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 (almtltatallgwyh) 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.
KW - Arabic triangle of lanuage (Almtltatallgwyh)
KW - HOG and MCSVM
KW - Machine learning
KW - OCR
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U2 - 10.3844/JCSSP.2020.956.965
DO - 10.3844/JCSSP.2020.956.965
M3 - Article
AN - SCOPUS:85089728439
SN - 1549-3636
VL - 16
SP - 956
EP - 965
JO - Journal of Computer Science
JF - Journal of Computer Science
IS - 7
ER -