ESR7
Word embeddings and discourse information for Quality Estimation
Scarton, C., Beck, D., Shah, K., Smith, K. S., and Specia, L. (2016). Word embeddings and discourse information for Quality Estimation. In Proceedings of the First Conference on Machine Translation, pages 831–837, Berlin, Germany
Semantic Textual Similarity with Machine Translation Evaluation Metrics Ensembles
Liling Tan, Carol Scarton, Lucia Specia and Josef van Genabith. 2016. SAARSHEFF: Semantic Textual Similarity with Machine Translation Evaluation Metrics Ensembles. In Proceedings of Tenth International Workshop on Semantic Evaluation (SemEval 2016). San Diego, USA.
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++
Submitted by c.orasan on Wed, 25/11/2015 - 12:27Carolina Scarton has worked on the Framework for QE: QuEst (http://www.quest.dcs.shef.ac.uk/) - 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 https://github.com/ghpaetzold/questplusplus and more information can be found in
Exploring Consensus in Machine Translation for Quality Estimation
Scarton, C. and Specia, L. (2014): Exploring Consensus in Machine Translation for Quality Estimation. In the Proceedings of WMT 2014. Baltimore, MD, pp. 342-347.
Document-level translation quality estimation: exploring discourse and pseudo-references
Scarton, Carolina and Specia, Lucia (2014): Document-level translation quality estimation: exploring discourse and pseudo-references. In the Proceedings of EAMT 2014. Dubrovnik, Croatia, pp. 101-108
Searching for Context: a Study on Document-Level Labels for Translation Quality Estimation
Discourse and Document-level Information for Evaluating Language Output Tasks
Carolina Scarton (2015): Discourse and Document-level Information for Evaluating Language Output Tasks. In the Proceedings of NAACL-HLT 2015 Student Research Workshop (SRW), Denver, CO, pp. 118-125
Finding Ways to Assess Machine Translated Documents for Document-level Quality Prediction
Carolina Scarton (2015): Finding Ways to Assess Machine Translated Documents for Document-level Quality Prediction. In the Proceedings of EXPERT Scientific and Technological Workshop, Malaga, Spain