APE-Quest
The APE-Quest project develops a Quality Gate for obtaining an acceptable translation quality in a shorter amount of time and at a lower cost than in a traditional translation workflow.
Validating Quality Estimation in a Computer-Aided Translation Workflow: Speed, Cost and Quality Trade-off (2021)
Authors: Fernando Alva-Manchego, Lucia Specia, Sara Szoc, Tom Vanallemeersch & Heidi Depraetere
Quality Estimation (2020)
Authors: Sara Szoc, Heidi Depraetere
APE-QUEST: a Quality Gate for Routing MT (2020)
Authors: Joachim Van den Bogaert, Heidi Depraetere, Sara Szoc, Tom Vanallemeersch, Lucia Specia, Julia Ive & Maxim Khalilov
A Post-Editing Dataset in the Legal Domain: Do we Underestimate Neural Machine Translation Quality? (2020)
Authors: Julia Ive, Lucia Specia, Sara Szoc, Tom Vanallemeersch, Joachim Van den Bogaert, Eduardo Farah, Christine Maroti, Artur Ventura & Maxim Khalilov
APE-QUEST: an MT Quality Gate (2019)
Authors: Joachim Van den Bogaert, Heidi Depraetere, Sara Szoc, Tom Vanallemeersch, Koen Van Winckel, Frederic Everaert, Lucia Specia, Julia Ive, Maxim Khalilov, Christine Maroti, Eduardo Farah & Artur Ventura
