Thursday 10th November, 2016
11:15am to 12:00pm
Much progress in machine translation (MT) has recently been achieved with ever more sophisticated mathematical methods. Yet, the measured enhancements are often hardly visible to the naked eye. We sense a need for a paradigm in MT R&D that utilizes the knowledge and experience of professional translators throughout the entire R&D cycle. In our presentation, we will illustrate how this cooperation can be implemented. You will learn how quality barriers can be empirically confirmed with means like novel translation quality test suites or the standardized parameterizable error metric MQM.
Sign in to add slides, notes or videos to this session