(Machine translation from computerized Linguistic perspective: comparative study between (Google Translate and Microsoft Translator

الترجمة الآلية من منظور اللسانيات الحاسوبية: دراسة تحليلية مقارنة بين تطبيقي (Google Translate Microsoft Translator and)

Authors

  • Ayed Mohammed Al Asmari

Keywords:

الترجمة، الترجمة الآلية، اللسانيات الحاسوبية، الترجمة البشرية، النموذج التطبيقي.

Abstract

Machine translation is considered one the important subjects included in Linguistic Studies in general and computerized Linguistic in particular. Several Machine translation applications have emerged in the past years and the current research focuses on identifying the term of Machine translation using several texts and comparing the translation results of two famous Machine translation applications (Microsoft and Google translator). The results showed that Machine translation is one the modern terms emerged in Linguistic field, and many improvements has been conducted on Machine translation over the years in order to improve its results, hence, the findings indicated that human translation is more accurate and there are some defects in Machine translation and results of the current study approved theses defects by the translation model used in the study.

Downloads

Published

2018-09-30

How to Cite

(Machine translation from computerized Linguistic perspective: comparative study between (Google Translate and Microsoft Translator: الترجمة الآلية من منظور اللسانيات الحاسوبية: دراسة تحليلية مقارنة بين تطبيقي (Google Translate Microsoft Translator and). (2018). Arab Journal of Sciences and Research Publishing , 4(3), 56-40. https://doi.org/10.26389/AJSRP.E300518

Issue

Section

Content

How to Cite

(Machine translation from computerized Linguistic perspective: comparative study between (Google Translate and Microsoft Translator: الترجمة الآلية من منظور اللسانيات الحاسوبية: دراسة تحليلية مقارنة بين تطبيقي (Google Translate Microsoft Translator and). (2018). Arab Journal of Sciences and Research Publishing , 4(3), 56-40. https://doi.org/10.26389/AJSRP.E300518