Setting up a PEMT (Post-editing Machine Translation) solution does not stop with providing a MT engine. Once an engine is live, it is vital to measure how it performs to successfully manage costs and post-editing resources.

The science of measuring and predicting MT productivity gains needs to be understood in the wider context of outsourcing post-editing and managing the translation supply chain. This webinar explores the popular evaluation method TER and its correlation to productivity, quality and MT pricing.

Join this webinar to learn: 

  • What does post-editing entail for translators
  • Why is measuring and predicting MT productivity important
  • What is TER
  • How can it help with assessing productivity
  • How can it be employed for a production scenario
  • How can you combine vital data points to successfully deploy PEMT solutions

Speakers are Carla Schelfhout, Senior MT Solutions Manager and Andrea Stevens, Translation & Quality Manager

Carla-SchelfhoutCarla obtained a PhD in computational linguistics before joining SDL. Building on her MT knowledge as well as practical experience as IT translator, she contributed to the implementation of PEMT (Post-editing Machine Translation) at SDL. During the last eight years, PEMT within SDL has grown from 3% of content to 27% of content while maintaining the quality standards agreed with customers. This is due to a large degree to designing and implementing a testing process that identifies the suitable candidates for a PEMT approach.

Andrea StevensAndrea is Translation and Quality Manager for SDL’s intelligent Machine Translation group. She trained as a professional translator in her native Germany and has worked for SDL for over 15 years in a variety of senior linguistic roles. Andrea has been involved in Machine Translation at SDL from the very beginning, when SDL pioneered a high quality translation process incorporating Machine Translation technology. With a wealth of experience in localization, language services, translation resource and quality management as well as Machine Translation, Andrea works with SDL’s internal and external customers to promote the benefits of MT and to help translators to integrate MT in their daily work.