The Effectiveness of Machine Translation Systems in Translating English Fixed Phrases into Arabic

The purpose of this study is to investigate the effectiveness of machine translation systems in translating English fixed phrases into Arabic. The study uses a qualitative approach to translate 25 English fixed phrases into Arabic using four machine translation systems. The translations are then compared and analyzed along with four well-known sources: Al-Mawrid Dictionary by Baalbaki (1993), Dictionary of Comparative Proverbs by Mourad (2006), Dictionary of Common English Proverbs by Attia (2004), and Ghazala's (2008) translations. The study found all systems struggled with accuracy. The main problems were poor translations, loss of figurative meaning, inappropriate equivalents, and the Arabic sentences seemed to be distorted in terms of forms and contents. The study indicates that adding cultural knowledge bases into translation systems can greatly improve their ability to understand and translate complex fixed phrases.

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Publication Details

Journal
University of Science and Technology Journal for Management and Human Sciences
Published
2024-09-17
DOI
https://doi.org/10.59222/ustjmhs.2.2.4
Primary Topic
Natural Language Processing Techniques
Type
article
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article

The Effectiveness of Machine Translation Systems in Translating English Fixed Phrases into Arabic

Abdou Ahmed Ali Mounassar
University of Science and Technology Journal for Management and Human Sciences
Natural Language Processing Techniques
article

The Effectiveness of Machine Translation Systems in Translating English Fixed Phrases into Arabic

Abdou Ahmed Ali Mounassar
article en

Abstract

The purpose of this study is to investigate the effectiveness of machine translation systems in translating English fixed phrases into Arabic. The study uses a qualitative approach to translate 25 English fixed phrases into Arabic using four machine translation systems. The translations are then compared and analyzed along with four well-known sources: Al-Mawrid Dictionary by Baalbaki (1993), Dictionary of Comparative Proverbs by Mourad (2006), Dictionary of Common English Proverbs by Attia (2004), and Ghazala's (2008) translations. The study found all systems struggled with accuracy. The main problems were poor translations, loss of figurative meaning, inappropriate equivalents, and the Arabic sentences seemed to be distorted in terms of forms and contents. The study indicates that adding cultural knowledge bases into translation systems can greatly improve their ability to understand and translate complex fixed phrases.

University of Science and Technology Journal for Management and Human SciencesVol. 2(2)
Thamar University (YE)
Quality Education
Openalex Percentile: Top 87%
Natural Language Processing Techniques
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