Machine Translation Quality and Post-Editing
Machine Translation can help organizations save time and money, but the quality of the output must be considered. Learn about quality measurement and post-editing processes by checking out some of GALA's top resources.
Comparing Errors of Neural MT with Errors of “Traditional” Phrase-based and Rule-based MT
Aljoscha Burchardt (DFKI / QT21)
Different MT types have various strengths and weaknesses. Learn what to expect from different methodologies.
Understanding Post-Editing – A Practical Approach
Valeria Filippello & Andrea Stevens (SDL)
Learn what post-editing is, how to successfully integrate post-editing, and common post-editing scenarios for SMT output.
A Language Approach to Machine Translation Quality Estimation
Juan Rowda (eBay)
What is MTQE? What is its purpose? How can you approach QE from a linguist’s viewpoint? These and other questions are answered in this article.