Publications

Filters: Keyword is MT quality evaluation  [Clear All Filters]
Conference Paper
Koponen M. Comparing human perceptions of post-editing effort with post-editing operations. In: Proceedings of the Seventh Workshop on Statistical Machine Translation. Proceedings of the Seventh Workshop on Statistical Machine Translation. Montréal, Canada; 2012:181–190. Available at: http://www.aclweb.org/anthology/W12-3123.Array
Conference Proceedings
Koponen M, Aziz W, Ramos L, Specia L. Post-editing Time as a Measure of Cognitive Effort O'Brien S, Simard M, Specia L, eds. AMTA 2012 Workshop on Post-editing Technology and Practice (WPTP). 2012:11-20. Available at: http://amta2012.amtaweb.org/AMTA2012Files/html/13/13_paper.pdf.Array
Deliverable
Rautio J, Koponen M. D9.2 MOLTO evaluation and assessment report. 2013. Abstract Array Download: d9_2.pdf (1.25 MB)
Slide Presentation
Gonzàlez M. Asiya: An Open Toolkit for Automatic Machine Translation and (Meta-)Evaluation. Introduction to modern statistical machine translation: theory, practice and applications. 2013.Array Download: asiya-merit-course.pdf (3.41 MB)
Rautio J, Koponen M, Carlson L. Evaluation of MOLTO Technologies. 2013. Available at: http://www.molto-project.eu/sites/default/files/Evaluation.pdf. Abstract Array Download: Evaluation.pdf (411.01 KB)
Koponen M. Konekäännöksen laatu ja jälkieditointiin soveltuvien käännösten tunnistaminen. presentation in KäTu 2013, XI Symposium on Translation and Interpreting: Technology and Translation. 2013. Available at: http://www.molto-project.eu/sites/default/files/katu2013_koponen.pdf.Array Download: katu2013_koponen.pdf (170.05 KB)
Gonzàlez M. MT Automatic Evaluation and Meta-evaluation. 2013.Array Download: asiya - grial.pdf (4 MB)
Gonzàlez M. MT Automatic Evaluation and Meta-evaluation with Asiya. Introduction to modern statistical machine translation: theory, practice and applications. 2013.Array Download: asiya - MT FIB.pdf (3.3 MB)
Koponen M, España-Bonet C. Translation Quality Evaluation in the MOLTO Project. Submitted. Abstract Array Download: primerAnyWP9.pdf (632.43 KB); molto_WP9eval_pt1.pdf (103.98 KB)