Examining the Impact of Human-Machine Collaboration in English-Arabic Translation

The study investigated the impact of human-machine collaboration (HMC) in English-Arabic translation, examining both its benefits and challenges. A mixed-methods research design was employed, incorporating both quantitative and qualitative techniques. Sixty-four participants were involved, with four excluded due to a lack of experience with machine translation systems. Data was collected using a semi-structured questionnaire via the Google Forms platform. The findings indicated that HMC offers three major benefits: enhancing expertise in HMC, providing system feedback and optimizing job satisfaction. Despite these benefits, the key accuracy challenges were primarily linked to fundamental linguistic differences, including grammatical, lexical, and contextual variations. Culture and technical differences also posed significant difficulties for collaboration in translation and post-editing processes.