Translating Content Loaded with Complex Cultural Content: Striking the Balance between Human Expertise and Machine Translation
Year: 2024
Type: article
Abstract: Translating culturally loaded texts is considered a daunting challenge in the translation field. While machine translation is adept at linguistic aspects, it often struggles to convey the nuanced cultural features inherent in cultural texts mainly traditional Arabic proverbs and anecdotes under study in this endeavor. This emphasizes the vital role of collaboration between machine efficiency and human expertise in ensuring accurate and authentic translation. This study explores the intricacies of translating culture-rich content by comparing between machines flaws even when assisted by artificial intelligence, and human translators’ expertise limitations. The comparison has revealed weaknesses in both machine and human translations, prompting the call for collaborative approach between the two methods. This study measures the limits of human translators with computer assisted translation from Arabic to English; first comparing between them then combining machines and humans performances. The translated case studies have proven the efficiency and accuracy of collaborative translation method. The aim is to optimize translation of cultural sensitive content, preserve cultural integrity and elevate authenticity and quality. The findings inform the discourse in translation studies and cross-cultural communication, offering practical insights to enhance translation quality and authenticity based on collaboration among machine translation developers, linguists, and cultural experts. As AI progresses, the synergy between machines and human translators shows potential to exceed current capabilities, facilitating more effective communication in diverse contexts.
Authors: Ahmed Ennouari -, Khalid El HOUSNI -
Language: English
Subfield: Language and Linguistics
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4405622657