A Proposed Model to Address Current Errors in English into Arabic Machine Translation
Authors: 
Grami Mohammad A. Grami, Basim Y. Alkazemi, Mohamed K. Nour, Atif Naseer, Husam Al-DoobiAuthors Info & Claims
Grami Mohammad A. Grami, Basim Y. Alkazemi, Mohamed K. Nour, Atif Naseer, Husam Al-DoobiAuthors Info & ClaimsPages 116 - 120
Abstract
Machine translation has witnessed many advances in recent years and has become ever more accessible. However, no matter how good an automated translation is, a proficient human translator does a better job. In this project, we attempt to identify areas of machine translation that need addressing by analyzing texts from three different disciplines translated using 'Google translate' from English into Arabic. We then suggest where and when human intervention is necessary as well as further automated functions to be incorporated in an improved proposed model to be developed based on the findings of this study. Human intervention can be required in instances when machine translation fails to detect the context, and automated functions include determining the discipline of the text using keywords and titles and connecting the text to more specialized dictionaries.
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- A Proposed Model to Address Current Errors in English into Arabic Machine Translation
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Published In
December 2017
127 pages
ISBN:9781450353588
DOI:10.1145/3175603
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- Nanyang Technological University
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Association for Computing Machinery
New York, NY, United States
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Published: 29 December 2017
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ICRAI 2017
ICRAI 2017: 2017 International Conference on Robotics and Artificial Intelligence
December 29 - 31, 2017
Shanghai, China
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