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Gartner defines AI-enabled translation services as those able to use AI methods to improve the speed, quality and cost of the language translation workflows. The AI-enabled service with the most profound effect is neural machine translation (NMT). However, other services are now being deployed to augment and automate additional tasks in the enterprise translation process. Examples include: Translation management system workflow classifications that use machine learning (ML) methods to train the workflow classification based on feedback about the results. Adaptive post-editing machine translation (PEMT) and computer-assisted translation (CAT) editing tools that incorporate any edits back into the translation model. Translation risk assessments that use composite AI (that is, multiple different methods) to provide real-time predictions of the level of risk in a given translation. Enterprise translation hubs that allow enterprises, via a single interface, to select the optimal resource — for instance, selecting between different NMT solutions based on cost or quality. NMT data cleaning and preparation services, which allow for improved NMT model training and customization. These solutions may be used to augment the current translation processes or to develop new workflows.

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