Title :
Towards improving machine translation using user generated content
Author :
Al-Khalifa, Atheer S. ; Al-Khalifa, Hend S.
Author_Institution :
Electron. & Comput. Inst., King Abdulaziz City of Sci. & Technol., Riyadh, Saudi Arabia
Abstract :
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.
Keywords :
language translation; natural language processing; Google translate; statistical machine translation services; user generated content; Encyclopedias; Engines; Google; Humans; Internet; User-generated content; Arabic language; machine translation; user generated content;
Conference_Titel :
Communications and Information Technology (ICCIT), 2011 International Conference on
Conference_Location :
Aqaba
Print_ISBN :
978-1-4577-0401-7
DOI :
10.1109/ICCITECHNOL.2011.5762660
