Qualitative Analysis of Post-Editing for High Quality Machine Translation
Frédéric Blain, Jean Sénellart, Holger Schwenk, Mirko Plitt, Johann Roturier · Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton) · 2011
In the context of massive adoption of Machine Translation (MT) by human localization services in Post-Editing (PE) workflows, we analyze the activity of post-editing high quality translations through a novel PE analysis methodology. We define and introduce a new unit for evaluating post-editing effort based on Post-Editing Action (PEA)- for which we provide human evaluation guidelines and propose a process to automatically evaluate these PEAs. We applied this methodology on data sets from two technologically different MT systems. In that context, we could show that more than 35 % of the remaining effort can be saved by introducing of global PEA and edit propagation. 1