The Impact of AI-Assisted Tools on Enhancing the Quality of Legal Translation Outputs: A Case Study of Jordanian Students
DOI:
https://doi.org/10.17507/jltr.1703.23Keywords:
AI-Assisted translation, legal translation, ChatGPT, DeepLAbstract
This study seeks to examine the effects of the use of Artificial Intelligence (AI)-assisted tools (ChatGPT and DeepL) on the quality of legal translation outputs by Jordanian undergraduates. As legal translation necessitates a high degree of specificity, context, and accuracy in the utilization of terminology, the following research will explore whether AI can help students accomplish this requirement. To achieve the research objective, a case study that combined methods was employed. A sample of 68 third- and fourth-year students from Zarqa University and Mutah University who specialize in translation was chosen to participate in the study. The participants were required to complete a pre-test and a post-test, each of which included legal texts (statutes, contracts, and court rulings). The following day's session involved utilizing AI. The quantitative analysis of the data collected from the exams and surveys indicated how terminology, grammar, context, and fluency improved translation quality. Qualitative analysis of surveys and interviews revealed participants' perceptions of their experiences and resources. The study's findings showed that using AI technologies to improve terminology, grammar, context, and fluency resulted in increased translation quality. Students also believed that the tools increased their confidence and efficiency; however, they also had concerns about overreliance on AI and the potential lack of legal content handling ability in the tools. Finally, this study revealed the pedagogical potential of using AI tools in legal translation training while pointing to the need for continuous human control and critical thinking.
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