DocumentCode
3073706
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
fYear
2011
fDate
29-31 March 2011
Firstpage
11
Lastpage
14
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Information Technology (ICCIT), 2011 International Conference on
Conference_Location
Aqaba
Print_ISBN
978-1-4577-0401-7
Type
conf
DOI
10.1109/ICCITECHNOL.2011.5762660
Filename
5762660
Link To Document