TY - BOOK
T1 - Diachronic Evaluation of Google Translate, Microsoft Translator and Sakhr in English-Arabic Translation
AU - Almahasees, Zakaryia
PY - 2020
Y1 - 2020
N2 - The study scrutinizes the capacity of Google Translate, Microsoft Translator, and Sakhr in dealing with translation between English and Arabic in a large corpus taken from various domains, UN, WHO, Petra Journalistic Texts, Arab League, The Prophet and The Old Man and The Sea. The study evaluates the output of the three systems using holistic analysis and error analysis of the entire text translation and collocations as a special case of error analysis. The findings of the study provided important feedback about the capabilities of the three systems with respect to English-Arabic translation and paves the way for further research on such an important topic.
AB - The study scrutinizes the capacity of Google Translate, Microsoft Translator, and Sakhr in dealing with translation between English and Arabic in a large corpus taken from various domains, UN, WHO, Petra Journalistic Texts, Arab League, The Prophet and The Old Man and The Sea. The study evaluates the output of the three systems using holistic analysis and error analysis of the entire text translation and collocations as a special case of error analysis. The findings of the study provided important feedback about the capabilities of the three systems with respect to English-Arabic translation and paves the way for further research on such an important topic.
KW - English<>Arabic Machine Translation Systems
KW - Machine Translation Evaluation
KW - Holistic Analysis of Machine Translation
KW - Error Analysis of Machine Translation
KW - Adequacy and Fluency in Machine Translation
KW - Arabic Machine Translation Evaluation
KW - Collocations and Machine Translation
KW - Translation Studies and Technology
U2 - 10.26182/5e2a3b3d81f7a
DO - 10.26182/5e2a3b3d81f7a
M3 - Doctoral Thesis
ER -