Multi-level Translation Quality Prediction with QuEst++
Lucia Specia, Gustavo Henrique Paetzold, Carolina Scarton · 2015
This paper presents QUEST++ , an open source tool for quality estimation which can predict quality for texts at word, sentence and document level.It also provides pipelined processing, whereby predictions made at a lower level (e.g. for words) can be used as input to build models for predictions at a higher level (e.g.sentences).QUEST++ allows the extraction of a variety of features, and provides machine learning algorithms to build and test quality estimation models.Results on recent datasets show that QUEST++ achieves state-of-the-art performance.