AI translation

AI translation combines statistical learning, neural machine translation and, increasingly, large language models to generate target-language text from a source. Systems are trained on parallel data and fine-tuned for specific domains so they can handle terminology, style and context with greater reliability. Quality improves through continuous training, feedback loops and terminology control.

AI translation software packages these capabilities into usable tools. Typical features include translation memories, terminology and glossary enforcement, quality estimation, in-context previews, connectors to content repositories and APIs for integration with websites, apps and content platforms. Many systems offer domain adaptation, custom dictionaries and reviewer workflows so teams can manage quality at scale.

A standard workflow begins with content preparation and language detection, followed by machine translation. For critical content, a Human-in-the-Loop step such as machine translation post-editing is used to review accuracy, tone and brand style. Quality signals – like confidence scores, segment risk or terminology mismatches – help decide when human intervention is required. Over time, engines are adapted using approved edits so future output better reflects the organization’s voice.

AI translation is most effective when it is part of a wider localization process. It integrates with content management, publication and QA steps, supports structured and unstructured content, and can work alongside subtitling, transcription and accessibility workflows. Governance, data protection and audit trails are essential considerations when deploying AI translation in regulated or sensitive environments.

RWS blends human linguistic expertise with advanced neural machine translation to help organizations translate content at speed and scale – without sacrificing quality.

Our AI translation technology, powered by Language Weaver, adapts to each client’s domain, style and terminology. Behind every engine, expert linguists train, fine-tune and evaluate performance to ensure translations sound natural and reflect the brand’s voice. This Human + Technology model combines the efficiency of AI with the precision of human review. It enables global enterprises to communicate consistently, meet faster turnaround times and localize more content without increasing costs.

RWS enables organizations to scale content production responsibly by embedding governance, quality control and data protection within every AI translation workflow. Whether localizing digital platforms, International marketing campaigns or mission-critical documentation, RWS helps teams automate intelligently while keeping human oversight where it matters most.