Machine Translation Quality of Khalil Gibran's the Prophet

AWEJ for translation & Literary Studies Volume, 1 Number 4, October 2017

9 Pages Posted: 15 Nov 2017

See all articles by Zakaryia Mustafa Z Almahasees

Zakaryia Mustafa Z Almahasees

The University of Western Australia - Department of European Languages

Date Written: November 9, 2017

Abstract

Machine translation (MT) systems are widely used throughout the world freely or at low cost. The spread of MT entails a thorough analysis of translation produced by such translation systems. The present study evaluates the capacity of two MT systems-Google Translate and Microsoft Bing translator-in translation from Arabic into English of Khalil Gibran’s literary masterpiece - The Prophet (2000). The question that arises in the study is could we trust MT in the translation of literary masterpieces across languages and particularly from Arabic to English? How close does MT output to human translation? To conduct that, the study is adopted Bilingual Evaluation Understudy (BLEU) of Papineni (2000). MT output analysis showed that MT is not accurate, intelligible and natural in translating literary texts due to the difficulty of literary texts, as they are full of metaphors and cultural specifications. Besides, there are some linguistic errors: lexical, syntactic and misinformation. The study also found that both systems provided similar translation for the same input due to either the use of similar MT approach or learning from previous translated texts. Moreover, both systems in some instances, achieve good results at the word level, but bad results at collocation units. The study also showed that automatic translation is insufficient for providing a full analysis of MT output because all automatic metrics are misleading due to dependence on text similarity to a reference human translation. For future research, the study recommended conducting a correlative study that combines manual and automatic evaluation methods to ensure best analysis of MT output. Machine Translation (MT) is still far from reaching fully automatic translation of a quality obtained by human translators.

Keywords: English-Arabic translation, Google Translate errors, Microsoft Bing errors, machine translation errors

Suggested Citation

Almahasees, Zakaryia Mustafa, Machine Translation Quality of Khalil Gibran's the Prophet (November 9, 2017). AWEJ for translation & Literary Studies Volume, 1 Number 4, October 2017 , Available at SSRN: https://ssrn.com/abstract=3068518 or http://dx.doi.org/10.2139/ssrn.3068518

Zakaryia Mustafa Almahasees (Contact Author)

The University of Western Australia - Department of European Languages ( email )

35 Stirling Highway, Crawley
Perth, Western Australia 6009
Australia

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