no code implementations • WS 2018 • Lucia Specia, Fr{\'e}d{\'e}ric Blain, Varvara Logacheva, Ram{\'o}n Astudillo, Andr{\'e} F. T. Martins
We report the results of the WMT18 shared task on Quality Estimation, i. e. the task of predicting the quality of the output of machine translation systems at various granularity levels: word, phrase, sentence and document.
no code implementations • TACL 2017 • Andr{\'e} F. T. Martins, Marcin Junczys-Dowmunt, Fabio N. Kepler, Ram{\'o}n Astudillo, Chris Hokamp, Roman Grundkiewicz
Translation quality estimation is a task of growing importance in NLP, due to its potential to reduce post-editing human effort in disruptive ways.