Case Study: First Large-Scale Application of Auto-Adaptive MT

Combining Machine Translation (MT) with auto-adaptive Machine Learning (ML) enables a new paradigm of machine assistance. Such systems learn from the experience, intelligence and insights of their human users, improving productivity by working in partnership, making suggestions and improving accuracy over time. The net result is that human reviewers produce far higher volumes of content,… Read More Case Study: First Large-Scale Application of Auto-Adaptive MT

Case Study: SDL Trados

Abstract: We compare human translation performance in Lilt to SDL Trados, a widely used computer-aided translation tool. Lilt generates suggestions via an adaptive machine translation system, whereas SDL Trados relies primarily on translation memory. Five in-house English–French translators worked with each tool for an hour. Client data for two genres was translated. For user interface… Read More Case Study: SDL Trados