Diachronic Evaluation of Google Translate, Microsoft Translator and Sakhr in English-Arabic Translation

Zakaryia Almahasees

doi:10.26182/5e2a3b3d81f7a

Diachronic Evaluation of Google Translate, Microsoft Translator and Sakhr in English-Arabic Translation

Zakaryia Almahasees

School of Humanities

Research output: Thesis › Doctoral Thesis

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Abstract

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.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Jaccomard, Helene, Supervisor Bennamoun, Mohammed, Supervisor Kinder, John, Supervisor
Award date	5 Jan 2020
DOIs	https://doi.org/10.26182/5e2a3b3d81f7a
Publication status	Unpublished - 2020

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10.26182/5e2a3b3d81f7a

THESIS - DOCTOR OF PHILOSOPHY - ALMAHASEES Zakaryia Moustafa - 2020
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Cite this

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abstract = "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.",

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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.

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KW - Adequacy and Fluency in Machine Translation

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