article · International Journal of Translation and Interpretation Studies
In the realm of translation, it is highly recognized that the rendition process from Arabic to English poses numerous stumbling blocks that impede the smooth transfer of meaning and cultural nuances from the source text into its target version. Accordingly, this study delves into the common challenges encountered during the previously mentioned translation journey, exploring the main factors that contribute to the complexity of the task. By identifying these stumbling blocks, the research sheds light on the intricacies of translating between these two languages and aims to transcend communication obstacles and reduce misunderstandings between the source and target settings. For this reason, a comparative analysis of Arabic and English has been adopted to find out these languages' differences and implications for translation, thereby providing a clear vision of how to reproduce the original accurately in the target language. This method involves systematically comparing translations of texts from Arabic to English to uncover the specific issues that arise during the translation process, leading to the adoption of effective strategies. Ultimately, this paper reveals that the comparative analysis method adopted is highly beneficial in understanding the discussed issue. Findings offer valuable insights for enhancing translation accuracy and effectiveness, bridging the gap between the two languages, and fostering better cross-cultural communication. It is evident that the Arabic-English translation journey is a challenging endeavor that necessitates considerable effort and expertise. It shows that successful translators have to be very selective in the choices they make regarding language, strategies, and source text categorization to translate with great respect and transparency.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.32996/ijtis.2023.3.3.2
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.