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Evaluation of Google Image Translate in Rendering Arabic Signage into English

Author

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  • Zakaryia Almahasees
  • Sameh Mahmoud

Abstract

When people travel to another country for work or leisure, they regularly need a medium to help them understand the written messages in other languages. Google Translate offers a new service- translating the content of images (texts) instantly and freely into 100 languages powered by the Neural Machine Translation approach (NMT). In this vein, the current research paper attempts to evaluate the accuracy of Google Image Translate service in rendering the texts printed on Arabic signage- banners and road and shop signs from Arabic into English. Besides, it aims to identify the capacity of Google Translate in rendering Arabic signage into English effectively without the help of human translators. The paper adopts the Linguistic Error Analysis Framework of Costa et al. (2015) in analyzing the output of Google image service in terms of orthography, grammar, lexis, and semantics. The paper shows that Google Translate made the following errors while rendering the content of images into English- mistranslation, omission, additions, wrong choice, misordering, subject-verb disagreement, and semantic errors. In conclusion, the Google Image Translate service helps the users configure the gist of the image. However, a human translator is still needed since MT may not provide an adequate and effective translation as humans do.

Suggested Citation

  • Zakaryia Almahasees & Sameh Mahmoud, 2022. "Evaluation of Google Image Translate in Rendering Arabic Signage into English," World Journal of English Language, Sciedu Press, vol. 12(1), pages 185-185, December.
    • Handle: RePEc:jfr:wjel11:v:12:y:2022:i:1:p:185
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    Citations

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    Cited by:

    1. Inês Carvalho & Ana Ramires & Montserrat Iglesias, 2023. "Attitudes towards machine translation and languages among travelers," Information Technology & Tourism, Springer, vol. 25(2), pages 175-204, June.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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