Abstract
<p>Islamic translation is considered as a special distinguished sub-discipline of applied linguistics. It is one of the most important areas of translation because it carries the values and eternal message. Through the history, the first translation work was of religious books. This study attempts to evaluate the adequacy and acceptability of four machine translation (MT) systems (World lingo, Babylon translation, Google translate, Bing translator) in translating the Islamic texts. In addition, it aims to evaluate the Islamic translation outputs based on functional characteristics (accuracy, suitability, and well-formedness) and sub-characteristics (syntax, terminology, reliability, and fidelity). The findings indicted that Google Translate System is the most adequate and acceptable among the other three systems (World lingo, Babylon translation, Bing translator) in translating the Islamic texts. The findings also revealed that Google Translate is acceptable in producing Islamic translation outputs in regard to the following functional characteristics (accuracy, suitability, and well-formedness) and sub-characteristics (syntax, terminology, reliability and fidelity) due to Google Translate advancement.</p><strong></strong>
Highlights
The emergence of Machine Translation (MT) has a significant role in translating the Arabic texts in particular because human translation cannot handle huge amounts of texts that need to be transferred to other languages.Recently, the evaluation methods play an extremely significant role in the advancement of computer-mediated translation systems
The findings revealed that Google Translate is acceptable in producing Islamic translation outputs in regard to the following functional characteristics and sub-characteristics due to Google Translate advancement
This study focuses on evaluation the adequacy and acceptability of four machine translation (MT) systems (World lingo, Babylon translation, Google translate, Bing translator) in translating the Islamic texts
Summary
The emergence of Machine Translation (MT) has a significant role in translating the Arabic texts in particular because human translation cannot handle huge amounts of texts that need to be transferred to other languages. (Abu-Al-Sha’r & AbuSeileek, 2013; Hebresha & Ab Aziz, 2013; Gerber, 2012; Marcu et al, 2012; Huck, Stein, & Ney, 2011; Abu-Al-Sha’r, 2009; Galley et al, 2009; Attia, 2008; Salem et al, 2008; Habash, 2007; and Al-Otoum, 2006). 526) supported the above mentioned idea ‘‘the main concern of translation from Arabic into English researchers is exploring a matric that improves accurate syntactic transformation. Their efforts have some success and have gained popularity as a research pursuit. Even though a number of Arabic MT systems have somewhat attain a satisfactory level of output translation, the level of transferring exact data from a source language into target language requires additional processing by approximately all MT systems
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