Example-Based English to Arabic Machine Translation

Author:

Ehab Rana1,Amer Eslam2,Gadallah Mahmoud1

Affiliation:

1. Computer Science Department, Modern Academy for Computer Science and Management Technology, Cairo, Egypt

2. Misr International University, Cairo, Egypt

Publisher

ACM Press

Reference15 articles.

1. Woł;k, K. and Marasek, K., 2015. Neural-based machine translation for medical text domain. Based on European Medicines Agency leaflet texts. Procedia Computer Science, 64, pp.2--9.

2. Akeel, M. and Mishra, R., 2014. ANN and rule based method for english to Arabic machine translation. Int. Arab J. Inf. Technol., 11(4), pp.396--405.

3. Zeng-Treitler, Q., Kim, H., Rosemblat, G. and Keselman, A., 2010. Can multilingual machine translation help make medical record content more comprehensible to patients?. Studies in health technology and informatics, 160(Pt 1), pp.73--77.

4. Alawneh, M., Omar, N., Sembok, T., Almuhtaseb, H. and Mellish, C., 2011. Machine Translation from English to Arabic. In International Conference on Biomedical Engineering and Technology.

5. Agiza, H.N., Hassan, A.E. and Salah, N., 2012. An English-to-Arabic Prototype Machine Translator for Statistical Sentences. Intelligent Information Management, 4(01), p.13.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adopting machine translation in the healthcare sector: A methodological multi-criteria review;Computer Speech & Language;2024-03

2. Survey of Arabic Machine Translation, Methodologies, Progress, and Challenges;2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC);2022-05-08

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