MT optimization

Machine translation systems are only as good as the data and parameters used to train them. MT optimization focuses on enhancing these inputs to achieve better fluency, precision and contextual relevance.

Optimization may include domain adaptation, terminology management, custom dataset training and continuous feedback from post-editors. The goal is to reduce the number of manual edits required after automated translation while maintaining brand tone and factual accuracy. At RWS, MT optimization is an ongoing process built into the Language Weaver ecosystem. By combining human linguistic insight with intelligent automation, RWS fine-tunes engines for specific industries and clients – ensuring secure, scalable and high-quality machine translation.