The Assessment of Machine Translation Using Google Translate in Translating the World Health Organisation chart

Abstract

I have tackled along these three chapters an actively researched issue which Is the assessment of Machine Translation production and demonstrated its successful and its failure. Based on the constructive theory, this research has been indirectly examining the difference between Human translation and machine translation, which undoubtedly, can never rival professional translators. This research was an attempt to cover most of the points machine deal within translating a given text, structural, grammar, contextual, and even cultural. The first chapter is to identify translation in general then machine translation in particular, its emergence throughout the timeline , its architecture and types. The second chapter, was to tackle Arabic language in the field of machine translation, the different sentence structures, word order of Arabic language, moreover to give an idea about the machine translation system "Google Translate" and about the machine translation processes. The third practical chapter is to examine the "Google translate" in translating some articles from the WHO chart and to comment on in comparison with its Arabic translated version In the last part, retailed analysis obtained the results. Hence, indentifying how can the sentence types and structures affect the machine translation, Therefore how can the translator intervene to amend and improve the machine translation product.