Location:
Antonine University, Lebanon
Programming/modeling techniques:
Java, Spring MVC, MySQL, OAuth2, jQuery, REST, JSON, Pattern recognition
The tool aims to increase the accuracy between English and Arabic as being one of the most challenging languages for machine translation.
The tool uses historical data of users who already translated a document and made some changes as they see fit, to provide personalized translation based on pattern and context recognition.
Features:
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Smartly Humanized
Seamlessly integrate intelligent AI algorithms with quality translations. Rest assured that your text will not 'sound' awkward.
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Language Focus
Focus explicitly on English to Arabic translation which results in the most accurate and significant results on the web.
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Immediate Access
Accessibility at its best, online and offline and on all your favorite mobile and laptop devices — just log in and get to work.
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Brilliant Correct
It takes effort and time to correct the same or similar sentences. Smart scan reduces your interactions and makes sense of the text.
I initiated the idea, supervised its development towards an MVP and lead it on the technical and business aspect.
The website is available for beta users, via www.altranslator.com