Translation technology plays a crucial role in facilitating multilingual communication, requiring specialized tools and expertise. This study explores the application of computer-assisted translation (CAT) tool, which integrates automatic machine translation, translation memories, and terminology databases, to assess their effectiveness compared to traditional translation methods. The research evaluates translation performance across metrics such as time efficiency, error frequency, translation similarity, and terminological accuracy.Two distinct translation processes were conducted, leveraging different tools, resources, and methodologies. A translation memory was built by collecting and aligning parallel corpora, alongside the creation of a term base. Results revealed that the use of CAT tools reduced translation time by 49% on average. Error analysis showed a marked decrease in spelling and grammatical errors when using CAT tools. Additionally, translation similarity with the reference text increased from 79% in traditional translation to 95% with the CAT tool. Terminological analysis highlighted a substantial reduction in terminology errors, although some errors persisted due to limitations in automatic machine translation. The findings emphasize the critical role of a well-maintained term base in achieving consistent terminology.