The increasing quality expectations and media exposure of MT have led to its introduction in many translation workflows. Little has been published as yet about how users interact with neural MT. This presentation places the development of neural MT in historical context, details some recent and forthcoming research on human factors in MT, and considers the effects of automation on translation workflows and stakeholders in production networks. In introducing MT to translation workflows, cost benefits of automation and rationalisation need to be balanced with minimisation of risk, retention of trust, and consideration of copyright.

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