A Proposed Model to Address Current Errors in English into Arabic Machine Translation-Reference-Cited by-同舟云学术

A Proposed Model to Address Current Errors in English into Arabic Machine Translation

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 International Conference on Robotics and Artificial Intelligence - ICRAI 2017
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Author:

Grami Grami Mohammad A.¹,Alkazemi Basim Y.²,Nour Mohamed K.²,Naseer Atif²,Al-Doobi Husam²

Affiliation:

1. King Abdulaziz University, Jeddah, Saudi Arabia

2. Umm Al Qura University, Makkah, Saudi Arabia

Publisher

ACM Press

Reference11 articles.

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3. Bhela, B. (1999). Native language interference in learning a second language: Exploratory case studies of native language interference with target language usage. International Education Journal of IEJ, 1 (1), 22--31.

4. Chen, H. B., Huang, H. H., Hsieh, A. C., & Chen, H. H. (2017). A simplification--translation--restoration framework for domain adaptation in statistical machine translation: A case study in medical record translation. Computer Speech & Language, 42, 59--80.

5. Grami, G. M. A., & Alkazemi, B. Y. (2016). Improving ESL writing using an online formulaic sequence word-combination checker. Journal of Computer Assisted Learning, 32(2), 95--104.