Online Machine Translation Efficiency in Translating Fixed Expressions Between English and Arabic (Proverbs as a Case-in-Point)

Doubtless, Machine Translation has affected translation as a process and product. This study tests MT's effectiveness in translating proverbs between English Arabic. It investigates one important CAT tool device. aims to attest which MT will be more communicative, semantic or literal giving target equivalent clarifying the error type would make. To achieve these aims, thirty proverbs, half Arabic English, have been randomly selected, taken from The Dictionary of Common Proverbs Translated Explained written by Attia (2004) then translated using five different online MTs: Google, Reverso, Yandex, Systran, Bing. As Alabbasi (2015) suggested, researcher adopted Newmark's (1988) Taxonomy methods, selecting three major divisions that include other types way another viz. Literal, Semantic Communicative. Analyzing data, Kruskal-Wallis Test Chi-square were used well descriptive statistics. is found most method produced when faced with proverb literal, communicative respectively. Bing effective providing proverbial equivalents. same rank, provide Furthermore, least among Yandex. errors diverge missing implied meaning, weakly structured translations, wrong synonyms meaning distorting.