Findings of the 2016 Conference on Machine Translation

O. Bojar, R. Chatterjee, C. Federmann, Y. Graham, B. Haddow, M. Huck, A.J. Yepes, P. Koehn, V. Logacheva, C. Monz, M. Negri, A. Neveol, M. Neves, M. Popel, M. Post, R. Rubino, C. Scarton, L. Specia, M. Turchi, K. Verspoor and M. Zampieri. (2016) ``Findings of the 2016 Conference on Machine Translation''. In Proceedings of the First Conference on Machine Translation (WMT-2016), Berlin, Germany, August 2016, pp. 131--198.

Contributions to QuEst++

Carolina Scarton has worked on the Framework for QE: QuEst ( - new version called QuEst++ with support for word, sentence and document-level QE (feature extraction and prediction). More specifically her contribution was on re-factoring core functions and features implementation for document-level QE. 

The direct link for the code is and more information can be found in