Google Translate Arabic To French Accuracy

Résumé: Abstract: By looking at the development of artificial intelligence (AI) and the simulation of the human mind in its dealings with linguistic communication, it is not excluded that Neural Machine Translation (NMT) replaces Human Translator (HT) in the world of Interactive Communication (IC). This raises the question whether neural machine translation (NMT) replace Human Translation, after it has achieved a remarkable development than statistical machine translation (SMT). For this purpose, the present study aims to evaluate the quality and performance of Arabic to French G-NMT output through a descriptive qualitative and quantitative analysis of adequacy and fluency depending on the Human Translation Reference (HTR). Our results indicate that adequacy and fluency of Google translate output from French into Arabic are of acceptable quality, but Human Translator (HT) is not getting replaced, so further research is needed to complement the findings of the current one in different types of texts as well as in different pair of languages.

Publié dans la revue: افاق فكرية