Evaluating Machine Translations from Arabic into English and Vice Versa

International Research Journal of Electronics and Computer Engineering

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Title Evaluating Machine Translations from Arabic into English and Vice Versa
Creator Al-Shalabi, Riyad
Kanaan, Ghassan
Al-Sarhan, Huda
Drabsh, Alaa
Al-Husban, Islam
Description Machine translation (MT) allows direct communication between two persons without the need for the third party or via dictionary in your pocket, which could bring significant and per formative improvement. Since most traditional translational way is a word-sensitive, it is very important to consider the word order in addition to word selection in the evaluation of any machine translation. To evaluate the MT performance, it is necessary to dynamically observe the translation in the machine translator tool according to word order, and word selection and furthermore the sentence length. However, applying a good evaluation with respect to all previous points is a very challenging issue. In this paper, we first summarize various approaches to evaluate machine translation. We propose a practical solution by selecting an appropriate powerful tool called iBLEU to evaluate the accuracy degree of famous MT tools (i.e. Google, Bing, Systranet and Babylon). Based on the solution structure, we further dihttp://researchplusjournals.com/index.php/IRJECE/workflow/index/291/5scuss the performance order for these tools in both directions Arabic to English and English to Arabic. After extensive testing, we can decide that any direction gives more accurate results in translation based on the selected machine translations MTs. Finally, we proved the choosing of Google as best system performance and Systranet as the worst one.
Publisher Research Plus Journals
Date 2017-06-24
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Identifier http://researchplusjournals.com/index.php/IRJECE/article/view/291
Source International Research Journal of Electronics and Computer Engineering; Vol 3 No 2 (2017): International Research Journal of Electronics and Computer Engineering; 1-6
Language eng
Relation http://researchplusjournals.com/index.php/IRJECE/article/view/291/542
Coverage United Arab Emirates
Rights Copyright (c) 2017 International Research Journal of Electronics & Computer Engineering (ISSN Online: 2412-4370)

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