Arabic Machine Translation in the Supermarket: Does It Actually Work?

Due to mass production and economic consumerism practices, many businesses rely on cost-effective tactics to translate the name of a product or a brand on their shelves. One of the most common tactics is using Machine Translation (MT). It is necessary to examine MT in real-world scenarios where the translation may, or may not, be effective in delivering meaning. This article explores the MT of supermarket items from English to Arabic by focusing on the MT’s capabilities of meaning creation. Human translators must accept that any translation entails a form of loss and should make conscious decisions about which source text features to respect and which to sacrifice, but this might be different for MT. This study investigates the research question: is there significant meaning loss for Arabic Machine Translation (AMT) of supermarket items. Additionally, it aims to know how substantial the loss is to the conveyed message in a supermarket setting. These research questions are explored through a textual analysis of translating brochures, advertising, and describing supermarket products. More than 150 pages were examined, and around twelve AMT significant meaning loss instances were presented as examples. As a result, five reasons behind significant meaning loss were identified.

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Publication Details

Journal
Arab World English Journal For Translation and Literary Studies
Published
2025-02-16
DOI
https://doi.org/10.24093/awejtls/vol9no1.8
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Arabic Machine Translation in the Supermarket: Does It Actually Work?

Abdulrahman Ibrahim A Aljammaz
Arab World English Journal For Translation and Literary Studies
Natural Language Processing Techniques
article

Arabic Machine Translation in the Supermarket: Does It Actually Work?

Abdulrahman Ibrahim A Aljammaz
article en

Abstract

Due to mass production and economic consumerism practices, many businesses rely on cost-effective tactics to translate the name of a product or a brand on their shelves. One of the most common tactics is using Machine Translation (MT). It is necessary to examine MT in real-world scenarios where the translation may, or may not, be effective in delivering meaning. This article explores the MT of supermarket items from English to Arabic by focusing on the MT’s capabilities of meaning creation. Human translators must accept that any translation entails a form of loss and should make conscious decisions about which source text features to respect and which to sacrifice, but this might be different for MT. This study investigates the research question: is there significant meaning loss for Arabic Machine Translation (AMT) of supermarket items. Additionally, it aims to know how substantial the loss is to the conveyed message in a supermarket setting. These research questions are explored through a textual analysis of translating brochures, advertising, and describing supermarket products. More than 150 pages were examined, and around twelve AMT significant meaning loss instances were presented as examples. As a result, five reasons behind significant meaning loss were identified.

Arab World English Journal For Translation and Literary StudiesVol. 9(1)
Openalex Percentile: Top 99%
Natural Language Processing Techniques
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