no code implementations • EAMT 2020 • Maarit Koponen, Umut Sulubacak, Kaisa Vitikainen, Jörg Tiedemann
This paper presents a user evaluation of machine translation and post-editing for TV subtitles.
1 code implementation • LREC 2022 • Ekaterina Lapshinova-Koltunski, Maja Popović, Maarit Koponen
The resulting corpus consists of English news and reviews source texts, their translations into Russian and Croatian, and translations of the reviews into Finnish.
no code implementations • EAMT 2022 • Maarit Koponen, Kais Allkivi-Metsoja, Antonio Pareja-Lora, Dave Sayers, Márta Seresi
The LITHME COST Action brings together researchers from various fields of study focusing on language and technology.
no code implementations • WS 2018 • Franck Burlot, Yves Scherrer, Vinit Ravishankar, Ond{\v{r}}ej Bojar, Stig-Arne Gr{\"o}nroos, Maarit Koponen, Tommi Nieminen, Fran{\c{c}}ois Yvon
Progress in the quality of machine translation output calls for new automatic evaluation procedures and metrics.