An Automatic Evaluation for Online Machine Translation: Holy Quran Case Study
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 6
Abstract
The number of Free Online Machine Translation (FOMT) users witnessed a spectacular growth since 1994. FOMT systems change the aspects of machine translation (MT) and the mass translated materials using a wide range of natural languages and machine translation systems. Hundreds of millions of people use these FOMT systems to translate the holy Quran (Al-Qur?an) verses from the Arabic language to other natural languages, and vice versa. In this study, an automatic evaluation for the use of FOMT systems to translate Arabic Quranic text into English is conducted. The two well-known FOMT systems (Google and Bing Translators) are chosen to be evaluated in this study using a metric called Assessment of Text Essential Characteristics (ATEC). ATEC metric is one of the automatic evaluation metrics for machine translation systems. ATEC scores the correlation between the output of a machine translation system and professional human reference translation based on word choice, word orders and the similarity between MT output and the human reference translation. Extensive evaluation has been conducted on two well-known FOMT systems to translate Arabic Quranic text into English. This evaluation shows that Google translator performs better than Bing translator in translating Quranic text. It is noticed that the average ATEC score does not exceed 41% which indicates that FOMT systems are ineffective in translating Quranic texts accurately
Authors and Affiliations
Emad AlSukhni, Mohammed Al-Kabi, Izzat Alsmadi
Keywords
Related Articles
- EP ID EP107084
- DOI 10.14569/IJACSA.2016.070614
- Views 106
- Downloads 0
Menu Positioning on Web Pages. Does it Matter?
This paper concerns an investigation by the authors into the efficiency and user opinions of menu positioning in web pages. While the idea and use of menus on web pages is not new, the authors feel there is not enough em...
Applying Genetic Algorithms to Test JUH DBs Exceptions
Database represents an essential part of software applications. Many organizations use database as a repository for large amount of current and historical information. With this context testing database applications is a...
Non-linear Dimensionality Reduction-based Intrusion Detection using Deep Autoencoder
The intrusion detection has become core part of any network of computers due to increasing amount of digital content available. In parallel, the data breaches and malware attacks have also grown in large numbers which ma...
Internet Forensics Framework Based-on Clustering
Internet network attacks are complicated and worth studying. The attacks include Denial of Service (DoS). DoS attacks that exploit vulnerabilities found in operating systems, network services and applications. Indicators...
Reliable Network Traffic Collection for Network Characterization and User Behavior
This paper presents a reliable and complete traffic collection facility as a first and crucial step toward accurate traffic analysis for network characterization and user behavior. The key contribution is to produce an a...