Survey of Arabic Machine Translation, Methodologies, Progress, and Challenges
Author:
Affiliation:
1. Ain Shams University,Faculty of computer and information sciences,Computer Science Department,Cairo,Egypt
2. CEATIC, Universidad de Jaén,Computer Science Department,Jaén,Spain
Funder
AEI
ERDF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9781670/9781642/09781776.pdf?arnumber=9781776
Reference46 articles.
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2. The impact of preprocessing on Arabic-English statistical and neural machine translation;oudah;Machine Translation Summit XVII Volume 1 Research Track,2019
3. Improving Arabic neural machine translation via n-best list re-ranking
4. Amharic-arabic Neural Machine Translation
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