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Towards improving machine translation using user generated content

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2 Author(s)
Al-Khalifa, A.S. ; Electron. & Comput. Inst., King Abdulaziz City of Sci. & Technol., Riyadh, Saudi Arabia ; Al-Khalifa, H.S.

This paper presents a novel approach to overcome the limitation inherited in statistical machine translation services where the translation of new terms is not covered. The proposed approach is based on the power of user generated content to drive Arabic translations of English words. Our initial pilot experiment reveals the potential of our approach. This approach can act as an add-on to improve the quality of existing statistical translation services such as Google Translate.

Published in:

Communications and Information Technology (ICCIT), 2011 International Conference on

Date of Conference:

29-31 March 2011

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