Artificial intelligence is fast becoming a fact of life in general, and an ubiquitous tool in the field of translation. This live, instructor -led, language neutral webinar will orient you to the process of machine translation post-editing and provide practical exercises illustrating how it works.
Topics include:
- A brief overview over MT systems including statistical MT, neural MT, and Large Language Models (generative Artificial Intelligence (AI))
- The difference between full PE and light PE and other important definitions
- Skills that post-editors should have
- Which document types are suitable for post-editing and which are NOT
- Expectations in terms of speed and productivity for considerations with respect to remuneration
- Generative AI and “automated” post-editing
- Quality metrics and post-editing metrics
- Machine translation error categories and classifications
- Concrete practical examples of typical MT behavior
- The post-editing workflow in real life, including light versus full post-editing
- Providing proper linguistic feedback to MT software engineers
CEUs available for AZ, CO, FL, KY, MS, OK, PA, TN. More pending!
Instructor: Carola F. Berger, PhD, CT is an ATA-certified patent and technical translator and post-editor, translating and post-editing between German and English, doing business as CFB Scientific Translations LLC. Carola has not only been post-editing machine translated patents for a few years, she has also taken courses on MTPE and the inner workings of neural machine translation and even coded her own MT engine. In 2022, she co-authored a presentation on quality metrics for the MT Summit 2022 by AMTA (the American Machine Translation Association). She has held in-person and online workshops on MTPE for the American Translators Association and for the Northern California Translators Association.
