This study seeks to explore scientific methods for evaluating translation quality and investigate the potential impact of pre-editing on translation quality, aiming to fill gaps in post-editing research. Utilizing an objective scoring system, our results indicate that rational pre-editing and preprocessing significantly enhance text adaptability for machines, ultimately improving machine translation accuracy and quality.