International Journal of Development in Social Sciences and Humanities

Mainly, there are two types of translation methods used in the world of translation; Human Translation (HT) and Machine Translation (MT). The never ending debate between the two types during the world fast change and modern technology over the last decades, gives rise to the question of will the automatic translation or MT and its global tremendous applications, as the Internet is the main source of information, replaces the brilliant brainpower old-new HT. Despite the fact that MT is on risk of being merely a literal substitution of words from one language into another regardless of any linguistic considerations. It provides unsatisfactory results by ignoring words multiple meanings, order, tones, cultures, special use of words and phrases, and other linguistic nuances in various texts and contexts. It's ungrammatical and unnatural, though many assume that in the near future, it prevails in all aspects of modern life. However, the main objective of the paper is to prove HT prevalence; for removing HT from translating process costs a lot. Besides, it aims to identify and discuss the problems of translating, at the semantic, structural, cultural, contextual, and special use of language levels. Furthermore, the paper aims to show, but from a new perspective, the differences, and the merits and demerits of both HT and MT using Google Translate as one form of MT tools. To prove the hypotheses of the study despite the importance of MT in the global world of modern technology, the researcher is providing an English-Arabic translating test to a selected sample of university students of English major. Then, the results of translated texts are examined and the quality of students' performance is evaluated in translating in terms of linguistic and cultural values to prove HT supremacy over MT as a reflection of its prominence and irreplaceable role, not only in translation studies but in global communication.