Are we experiencing the Golden Age of Automatic Post-Editing?

摘要

In this talk I will describe the rise of neural methods in Automatic Post-Editing and why I believe that we might have reached a "Golden Age" of (neural) post-editing methods. This will be mostly based on the example of the recent WMT shared tasks on Automatic Post-Editing and my own contributions to that task. I will contrast current architectures with historic solution and will argue that only now - with the on-set of neural sequence-to-sequence methods - automatic post-editing has matured enough to have the potential for practical applications. However, there is a risk that this Golden Age might be very short lived and future results might be much less encouraging than the last two WMT shared task on APE might imply.