Sciweavers

ACL
2015

Multi-level Translation Quality Prediction with QuEst++

7 years 11 months ago
Multi-level Translation Quality Prediction with QuEst++
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.
Lucia Specia, Gustavo Paetzold, Carolina Scarton
Added 13 Apr 2016
Updated 13 Apr 2016
Type Journal
Year 2015
Where ACL
Authors Lucia Specia, Gustavo Paetzold, Carolina Scarton
Comments (0)